{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Neural Network Application: Predicting the Stock Market #\n", "##### Jared Rosen, Jake Silberg, Kevin Sun #####\n", "[Visit our website here](http://annstock.herokuapp.com/)\n", "\n", "## Table of Contents ##\n", "\n", "### Introduction and Goal ###\n", "* Background\n", "* Setup\n", "\n", "### Data ###\n", "* Data Scraping\n", "* Format Data\n", "* Variable Selection - Naive Bayes\n", "\n", "### Data Exploration ###\n", "* Gathering and Processing\n", "* Visualization \n", "\n", "### Neural Networks ###\n", "* Building the Model\n", "* Validating the Model\n", "\n", "### Results ###\n", "* Performance\n", " * Naive Bayes\n", " * Neural Network\n", "* Trading Strategies" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Introduction and Goal ##" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Background ###" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We want to beat the market using financial indicators to predict a simple question: will the stock market go up or down next week? For our project we will use Quandl, an open-data website with thousands of variables. First we write functions that successfully download those variables, then clean and merge them into a single dataframe. After that, we run a series of na\u00efve Bayes regressions to determine which of these variables have the most predictive power. Finally, we conglomerate a series of 20 of the best variables and run them through a neural network, which iterates to find the proper weights for each variable." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Setup ###" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# !pip install Quandl" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "\n", "import numpy as np\n", "import numpy\n", "import pandas as pd\n", "import math\n", "import scipy\n", "import random\n", "import Quandl\n", "import matplotlib.pyplot as plt\n", "import matplotlib.mlab as mlab\n", "import string\n", "import calendar\n", "import datetime\n", "from pandas.tseries.offsets import *\n", "import operator\n", "from itertools import combinations, permutations\n", "from matplotlib import rcParams\n", "import scipy.stats as stats\n", "from sklearn.cross_validation import train_test_split \n", "from sklearn.naive_bayes import MultinomialNB\n", "import sklearn" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "#colorbrewer2 Dark2 qualitative color table\n", "dark2_colors = [(0.10588235294117647, 0.6196078431372549, 0.4666666666666667),\n", " (0.8509803921568627, 0.37254901960784315, 0.00784313725490196),\n", " (0.4588235294117647, 0.4392156862745098, 0.7019607843137254),\n", " (0.9058823529411765, 0.1607843137254902, 0.5411764705882353),\n", " (0.4, 0.6509803921568628, 0.11764705882352941),\n", " (0.9019607843137255, 0.6705882352941176, 0.00784313725490196),\n", " (0.6509803921568628, 0.4627450980392157, 0.11372549019607843)]\n", "\n", "#http://colorbrewer2.org/\n", "brewer_rg = ['#E41A1C', '#4DAF4A']\n", "\n", "rcParams['figure.figsize'] = (10, 6)\n", "rcParams['figure.dpi'] = 150\n", "rcParams['axes.color_cycle'] = dark2_colors\n", "rcParams['lines.linewidth'] = 2\n", "rcParams['axes.facecolor'] = 'white'\n", "rcParams['font.size'] = 14\n", "rcParams['patch.edgecolor'] = 'white'\n", "rcParams['patch.facecolor'] = dark2_colors[0]\n", "rcParams['font.family'] = 'StixGeneral'\n", "\n", "\n", "def remove_border(ax=None, axes=None, top=False, right=False, left=True, bottom=True):\n", " \"\"\"\n", " Minimize chartjunk by stripping out unnecesasry plot borders and axis ticks\n", " The top/right/left/bottom keywords toggle whether the corresponding plot border is drawn\n", " \"\"\"\n", " if ax == None:\n", " ax = axes or plt.gca()\n", " \n", " ax.spines['top'].set_visible(top)\n", " ax.spines['right'].set_visible(right)\n", " ax.spines['left'].set_visible(left)\n", " ax.spines['bottom'].set_visible(bottom)\n", " \n", " #turn off all ticks\n", " ax.yaxis.set_ticks_position('none')\n", " ax.xaxis.set_ticks_position('none')\n", " \n", " #remove grid\n", " ax.grid(False)\n", " \n", " #now re-enable visibles\n", " if top:\n", " ax.xaxis.tick_top()\n", " if bottom:\n", " ax.xaxis.tick_bottom()\n", " if left:\n", " ax.yaxis.tick_left()\n", " if right:\n", " ax.yaxis.tick_right()\n", " \n", "pd.set_option('display.width', 500)\n", "pd.set_option('display.max_columns', 100)\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "# Quandl API key\n", "authtoken='Cx1CtXeu61zjTzpehmNV'" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Data ##" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Data Scraping ###" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The first decision we had to make was what data we thought would predict the stock market. We settled on an initial group of macroeconomic variables that get a lot of press. We chose gold and oil prices, house prices, unemployment, and the s_and_p itself, based on the rumor that the best way to predict tomorrow's weather is today's weather." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`Initial_data = {'gold_price':'BUNDESBANK/BBK01_WT5511.1',\n", " 'usd_to_pound':'QUANDL/USDGBP.1',\n", " 'cpi':'FRED/CPIAUCSL.1',\n", " 'unemployment':'FRED/UNRATE.1',\n", " 'gas_price':'BTS_MM/RETAILGAS.1',\n", " 'volatility':'YAHOO/INDEX_VIX.6',\n", " 'house_sales':'FRED/HSN1F.1',\n", " 'usd_to_euro':'QUANDL/USDEUR.1',\n", " 's_and_p_500':'YAHOO/INDEX_GSPC.6'}`" ] }, { "cell_type": "code", "collapsed": false, "input": [ "'''\n", "input: sources - list of data source titles from Quandl, ex. 'FRED' for Federal Reserve Economic Data\n", "\n", "function: scrapes the Quandl website using its search API to find the Quandl code for every variable from a given source\n", "\n", "return: data - dictionary with names and Quandl codes for every variable from the supplied sources\n", "'''\n", "\n", "def scrape_quandl(sources):\n", " data={}\n", " for source in sources:\n", " for j in range(1,100):\n", " data_options = Quandl.search(query=\"\", source = source, page=j)\n", " for i in data_options:\n", " data[i[\"code\"]]=i[\"code\"]\n", " #Adds the S and P to the dataset so that it is always included\n", " data['s_and_p_500']='YAHOO/INDEX_GSPC.6'\n", " return data \n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Format Data ###" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next we need to download and clean the data. First we wrote a simple function to call the Quandl download API and create a list of dataframes.\n", "Then, in order to merge all of them, we first create entries for every single business day. Then we use the interpolate functionality from numpy to fill in all of the NaNs based on a linear regression of the two closest available datapoints. We felt that this was the best way to include monthly datasets that we would otherwise have had to ignore. Since a lot of financial data is released monthly, we felt that these trends in the data would still be valuable. The function then keeps Monday's values as the easiest way to make the data weekly. We felt that weekly predictions were a good aim because there would be lots of predictions relative to monthly predictions, but less interpolation than daily predictions. This function also deletes dataframe that are empty, or that don't have enough years of data to give us a large sample. Finally, it runs through every dataframe again to truncate them to the same start and end date. They are now ready to be merged.\n", "Next the functions percentageDifference and biner add columns to the dataframe with the pdiff of any of the other columns, then a column that's 0 if decrease or 1 if increased. Finally the function adv_columns adds another column with the 0 or 1 of next week's stock market. Now every row in the dataframe contains all the input data as well as the answer for that week's prediction. Dataframe_to_Array then converts the dataframe to an array, making sure to put next week's stock market movement (the answer) as the last column. Now all the data are ready for the Naive Bayes." ] }, { "cell_type": "code", "collapsed": false, "input": [ "'''\n", "get_quandl_data\n", "input: dict of Quandl codes\n", "\n", "function: downloads Quandl data\n", " set column name for each as its repective key from the dict\n", " \n", "return: list of dataframes\n", "'''\n", "\n", "def get_quandl_data(quandl_codes, cols=True):\n", " data_list = []\n", " for number, code in enumerate(quandl_codes.values()):\n", " data_holder = Quandl.get([code], authtoken=authtoken)\n", " if(cols == True):\n", " data_holder.columns = [quandl_codes.keys()[number]]\n", " data_list.append(data_holder)\n", " return data_list\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 32 }, { "cell_type": "code", "collapsed": false, "input": [ "\n", "'''\n", "collapser\n", "input: dataframe of Quandl data\n", "\n", "function: and adds rows for every business day during the timeframe of that dataset\n", " performs linear interpolation to fill in all missing values\n", " then drops all values except for Mondays\n", " \n", "return: cleaned dataframe of Quandle data\n", "'''\n", "\n", "def collapser(df):\n", " df = df.asfreq(BDay())\n", " df = df.apply(pd.Series.interpolate)\n", " df = df.asfreq(Week(weekday=1))\n", " return df\n", "\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 7 }, { "cell_type": "code", "collapsed": false, "input": [ "'''\n", "merger\n", "input: list of dataframes of Quandl data\n", "\n", "function: runs collapser on each dataframe\n", " finds the latest start date and earliest end date accross ass dataframes and truncates at those date\n", " concatonats all dataset into single dataframe\n", "\n", "return: dataframe of Quandl data of uniform length with no missing values\n", " start and end date of dataframe\n", "'''\n", "\n", "def merger(data_list):\n", " begin_date=datetime.datetime(1900,1,1,12,13,14)\n", " end_date=datetime.datetime(2100,1,1,12,13,14)\n", " \n", " for i in reversed(range(len(data_list))):\n", " try:\n", " data_list[i] = collapser(data_list[i])\n", " if (data_list[i].index[0]>datetime.datetime(2000,1,1,12,13,14)):\n", " del data_list[i]\n", " elif (data_list[i].index[-1]begin_date):\n", " begin_date=data_list[i].index[0]\n", " elif (data_list[i].index[-1]= bins[i]) & (df[col] < bins[i+1])] = 1\n", " add_cols.append(title)\n", " return df, add_cols\n", "\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 11 }, { "cell_type": "code", "collapsed": false, "input": [ "def advance_cols(df, cols):\n", " for col in cols:\n", " title = '%s_adv' % col\n", " df[title] = float('nan')\n", " for i in range(len(df)-1):\n", " df[title][i] = df[col][i+1]\n", " return df[:-1]" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 12 }, { "cell_type": "code", "collapsed": false, "input": [ "'''\n", "input: data - dictionary with names and Quandl codes for every variable from the supplied sources\n", "\n", "function: calls for a pd dataframe, cleans and interpolates the data so that it is all weekly, deletes datasets without at least\n", " 12 years of data or any that throw an error, then adds the prediction for next week column\n", "\n", "return: dataset - Pandas dataframe with columns for every variable\n", "'''\n", "\n", "def prepare_data(data):\n", " list_of_data = get_quandl_data(data, cols=False)\n", " dataset, dates = merger(list_of_data)\n", " dataset = percentageDifference(dataset, ['YAHOO.INDEX_GSPC - Adjusted Close'])\n", " dataset, add_cols = biner(dataset, ['YAHOO.INDEX_GSPC - Adjusted Close_pdiff'], [0.000001, 100.], 0)\n", " dataset = advance_cols(dataset, add_cols)\n", " return dataset" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 27 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Variable Selection - Naive Bayes ###" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We had a few design decisions we had to make about the Naive Bayes, so we tried a lot of options. First we created NB_Add_Drop, which through all of the datasets that haven't been deleted and adds that variable to the model. If that variable improves the accuracy of the model, it keeps it. If that variable makes the model run as well or worse than the current model, it moves on to the next variable. The function then prints out" ] }, { "cell_type": "code", "collapsed": false, "input": [ "'''\n", "input: dataset - Pandas dataframe with columns for every variable\n", "\n", "function: Goes variable by variable and tests if adding that variable improves the score of the Naive Bayes model. \n", " If a variable improves the model, it keeps it, if it keeps the model the same or makes it worse, it ignores it\n", "\n", "return: columns_keep - list of Quandl codes that made it into the final model (the columns that were useful for prediction)\n", " k - float with the final score of the most accurate model\n", "'''\n", "\n", "def NB_Add_Drop(dataset):\n", " validate = 0\n", " #list_of_data = get_quandl_data(data)\n", " #dataset, dates, num_col = merger(list_of_data)\n", " #dataset = percentageDifference(dataset, ['s_and_p_500'])\n", " #dataset, add_cols = biner(dataset, ['s_and_p_500_pdiff'], [0.000001, 100.])\n", " #dataset = advance_cols(dataset, add_cols)\n", " columns_keep = ['YAHOO.INDEX_GSPC - Adjusted Close']\n", " for i in dataset.columns:\n", " if (i=='YAHOO.INDEX_GSPC - Adjusted Close_pdiff'):\n", " continue\n", " if (i=='YAHOO.INDEX_GSPC - Adjusted Close_pdiff_b_0.00-100.00_adv'):\n", " continue\n", " try:\n", " columns_keep.append(i)\n", " data_array = dataframe_to_array(dataset, columns_keep, ['YAHOO.INDEX_GSPC - Adjusted Close_pdiff_b_0.00-100.00_adv'])\n", " data_array_in=data_array[:,:-1]\n", " data_array_out=data_array[:,-1:]\n", " #Converts the x by 1 by 1 array into a x by 1 array\n", " data_array_out=data_array_out.reshape(data_array_out.shape[0])\n", " mean_list = []\n", " for j in range(0,1000):\n", " xtrain, xtest, ytrain, ytest = train_test_split(data_array_in, data_array_out)\n", " clf = MultinomialNB().fit(xtrain, ytrain)\n", " mean_list.append(clf.score(xtest, ytest))\n", " k = sum(mean_list)/float(len(mean_list))\n", " if (k <= validate):\n", " columns_keep.remove(i)\n", " else:\n", " validate = k\n", " except:\n", " columns_keep.remove(i)\n", " continue\n", " return columns_keep, k\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 14 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next we wanted to try a different tack, run a naive bayes with just the S_and_P and every variable in the dataset, then return the variables that ran the best. This fixes the problem with the previous Naive Bayes that the first few variables that the model tries will get included, while it is much harder for a variable to get added later because each variable affects the overall model less. This seems to be a more fair way to test each variable, giving each one a chance to succeed. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "'''\n", "NB_All_Vars\n", "\n", "input: dataset - Pandas dataframe with columns for every variable\n", " tops - int, number of top variables you want returned\n", "\n", "function: Runs a Naive Bayes that looks at each variable and the S and P and returns the top x variables as specified\n", "\n", "return: columns_keep - list of Quandl codes that made it into the final model (the columns that were useful for prediction)\n", " k - float with the final score of the most accurate model\n", "'''\n", "\n", "def NB_All_Vars(dataset, tops):\n", " columns_keep = ['YAHOO.INDEX_GSPC - Adjusted Close']\n", " regressions = {}\n", " for i in dataset.columns:\n", " if (i=='YAHOO.INDEX_GSPC - Adjusted Close_pdiff'):\n", " continue\n", " if (i=='YAHOO.INDEX_GSPC - Adjusted Close_pdiff_b_0.00-100.00_adv'):\n", " continue\n", " try:\n", " columns_keep.append(i)\n", " data_array = dataframe_to_array(dataset, columns_keep, ['YAHOO.INDEX_GSPC - Adjusted Close_pdiff_b_0.00-100.00_adv'])\n", " data_array_in=data_array[:,:-1]\n", " data_array_out=data_array[:,-1:]\n", " #Converts the x by 1 by 1 array into a x by 1 array\n", " data_array_out=data_array_out.reshape(data_array_out.shape[0])\n", " mean_list = []\n", " for j in range(0,1000):\n", " xtrain, xtest, ytrain, ytest = train_test_split(data_array_in, data_array_out)\n", " clf = MultinomialNB().fit(xtrain, ytrain)\n", " mean_list.append(clf.score(xtest, ytest))\n", " k = sum(mean_list)/float(len(mean_list))\n", " regressions[i]=k\n", " columns_keep.remove(i)\n", " \n", " except:\n", " columns_keep.remove(i)\n", " continue\n", " top_regressions = dict(sorted(regressions.iteritems(), key=operator.itemgetter(1), reverse=True)[:tops])\n", " return top_regressions\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 16 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, we use the Add/Drop method on the top variables that we got from the individual NB regressions. This way we can see if a combination of variables is better than any variable individually, and we find that there is a combination that works best." ] }, { "cell_type": "code", "collapsed": false, "input": [ "'''\n", "NB_Add_Drop_Top\n", "\n", "input: dataset - Pandas dataframe with columns for every variable\n", " tops - int, number of top variables you want returned\n", "\n", "function: Runs the Add_Drop Naive Bayes model but only on the variables returned in top_regressions\n", "return: columns_keep - list of Quandl codes that made it into the final model (the columns that were useful for prediction)\n", " k - float with the final score of the most accurate model\n", "'''\n", "\n", "def NB_Add_Drop_Top(dataset, top_regressions):\n", " validate = 0\n", " columns_keep = ['YAHOO.INDEX_GSPC - Adjusted Close']\n", " for i in top_regressions.keys():\n", " if (i=='YAHOO.INDEX_GSPC - Adjusted Close_pdiff'):\n", " continue\n", " if (i=='YAHOO.INDEX_GSPC - Adjusted Close_pdiff_b_0.00-100.00_adv'):\n", " continue\n", " try:\n", " columns_keep.append(i)\n", " print columns_keep\n", " data_array = dataframe_to_array(dataset, columns_keep, ['YAHOO.INDEX_GSPC - Adjusted Close_pdiff_b_0.00-100.00_adv'])\n", " data_array_in=data_array[:,:-1]\n", " data_array_out=data_array[:,-1:]\n", " #Converts the x by 1 by 1 array into a x by 1 array\n", " data_array_out=data_array_out.reshape(data_array_out.shape[0])\n", " mean_list = []\n", " for j in range(0,1000):\n", " xtrain, xtest, ytrain, ytest = train_test_split(data_array_in, data_array_out)\n", " clf = MultinomialNB().fit(xtrain, ytrain)\n", " mean_list.append(clf.score(xtest, ytest))\n", " k = sum(mean_list)/float(len(mean_list))\n", " if (k <= validate):\n", " columns_keep.remove(i)\n", " else:\n", " validate = k\n", " except:\n", " columns_keep.remove(i)\n", " continue\n", " return columns_keep, k\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 17 }, { "cell_type": "markdown", "metadata": {}, "source": [ "# WARNING: The next cell takes a long time to run (~45 minutes)#" ] }, { "cell_type": "code", "collapsed": false, "input": [ "data_NB = scrape_quandl([\"FRED\",\"OFDP\"])\n", "datalist = prepare_data(data_NB)\n", "top_regressions = NB_All_Vars(datalist, 20)\n", "final_NB = NB_Add_Drop_Top(datalist, top_regressions)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBR_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PFE_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ARAY_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AASL_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVNA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DBSS_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUBB_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PCX_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BEAS_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLR_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RDGA_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PALAF_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_W1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DESLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CUSR0000SA0L5']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_INRG_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CUSR0000SA0L2']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CYGN_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LAYN_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PAAS_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_POSOQ_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WABPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PCTH_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTSG_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DSS_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTZ_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCC_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TWAV_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PLI_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCM_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBFP_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RISLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AE_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTH_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_VPTR_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LALEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAGY_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CHD_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAHNE_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MFLO_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BIO_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAWK_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IGT_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FECC_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBNK_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KCLI_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MESRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLGE_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHSRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WARGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAUS_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBK_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GAV_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUG_REV_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SBUX_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFST_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DETRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_CH2013']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUMP_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCM_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_QCRH_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OPWV_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MIICF_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CKH_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HTTP_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FLOW_EFF_TAX_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LAWE_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAYZ_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUDS_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WGLE_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCB_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CUSR0000SAH3']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KCG_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFX_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PCEND']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AREREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NRD_TO_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MIK_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AMSGA_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNVT_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAWK_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FAVE_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HIL_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MIC_EPS_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTA_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IMGV_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NP_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MANA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAHNE_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSSRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_SF1997']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARSTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBKR_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTBPPRIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BOY_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUMP_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RANKY_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MWRK_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLSRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUGH_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HISRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFX_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAHNE_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GPEH_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MKTAY_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ITP_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NCGHE_INSIDER']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DESRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WLKF_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DMCO_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AHL_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KAZ_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DSUP_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXNRMN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SQST_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.BASE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AIMC_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKR_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MUI_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCF_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NUWV_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCC_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CXIA_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNVT_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LNU04032220']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LNU04032223']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXAR_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CYH_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AETC_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTTOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GATT_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTY_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CLNY_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KOSN_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUDS_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLS_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CATM_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BEAS_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ETHT_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WZR_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWS_REV_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DETOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EFX_TO_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMSRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AHIZQ_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DAN_EPS_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWAC_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OC_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NJR_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ANTXQ_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CPTS_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INDPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUDS_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KAL_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCF_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLTRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXDS_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCC_EPS_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_PA1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFUE_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ANDS_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WACONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NTCT_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AKRN_PE_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_KCN1977']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PCCI_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUFCQ_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBAY_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MUI_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RTNC_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EFLT_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.METRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ATLC_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTXC_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CIEN_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TONEQ_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CORGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MUIN_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCBC_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NGHO_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBIZ_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTNRMN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUGH_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LUV_EV_SALES']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXBD_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RXII_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAXS_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TOTALSL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_B1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBH_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CVST_EV_SALES']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PRU_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PASTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NATL_EFF_TAX_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OBSD_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FNLYQ_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLG_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GNTA_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ABOA_TO_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OC_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DCNA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBCP_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAL_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TTM_EV_SALES']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLR_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_DA1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AMEV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFUL_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WANGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAKI_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RAQC_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NUR_TO_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NRNTQ_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CCIX_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SHLO_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LNU04024232']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ATGN_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PBTC_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SOMN_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DNR_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EPEX_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OSTK_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_CN2013']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AHAA_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PNFT_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_ES1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HITRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBK_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_UWZ_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DCOM_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ELOYD_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PLGC_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAGY_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INTOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KAZ_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUG_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NTESE_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SALD_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CEO_TO_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CTOO_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MU_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCAS_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_CZ2012']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_CZ2013']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTZ_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXBT_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXE_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WRDP_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBBC_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DORB_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_PAX2011']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HYPR_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ITAPOPL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PSAVERT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SKIL_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WSNG_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCBZ_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HBY_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNTK_INSIDER']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DOVP_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFUL_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WINN_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAYN_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AHLS_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RAM_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PRMO_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTY_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTXC_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBCS_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HILEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBCS_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CPB_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PDL_TO_EPS_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBCP_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWAY_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLS_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FPWBQ_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMBP1FH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBH_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WISRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PPD_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKTRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WITOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCGT_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBH_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AKLMQ_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ARRW_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OPMC_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CFFX_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IGC_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DSET_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DCSTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MENRMN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAGS_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCAS_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUFCQ_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NVTP_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PUMA_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PUBO_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HISLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LANA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GDP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUGH_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYSRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWLIA_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUG_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTH_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBKC_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBKC_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_QBAK_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SOLF_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNTI_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PLCE_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_SF1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CY_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WGO_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFUE_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ALCO_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GPRX_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_APC_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TUNE_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MMPT_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_VIVO_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CACONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GNET_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GTW_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBKC_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MONGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TLM_TO_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNWL_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DAI_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BRS_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBL_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PPRW_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HULL_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_FCH2003']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.USAPOPL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_C1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_C2']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COMPUTSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBL_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NZ_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NAP_EPS_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASPX_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NENG_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CFCP_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBFP_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AKS_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NELEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LATD_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AUTC_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBKR_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HITOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAC_PE_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_RRH1988']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AIV_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTI_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBKC_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWIN_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FPL_TO_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_QFAB_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUGH_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DCBF_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ESST_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJTRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CMA_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DATA_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CHQGF_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ADFS_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SOLN_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASFG_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GATT_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.INDEX_MARKIT_CDXNAIG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AREDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EGR_EPS_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OC_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GAPTQ_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_COT_217']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MUIN_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_UCMP_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWLIA_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBCIQ_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ABM_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTH_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVBP1FH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKR_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFUE_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HBC_TO_PE_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBNK_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ITLS_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LAF_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXA_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HRL_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAUP_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HINGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LAWS_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ESTI_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ATAI_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AEGN_INSIDER']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BLT_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GBTS_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLR_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NUR_TO_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUF_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBKR_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CVLT_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OC_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NESLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTYG_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AGRO_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_SQ1990']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAHNE_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAWK_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DAP_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MINRMN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RJF_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNVT_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAGS_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_ED1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ETPT_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCBC_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GGI_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OIL_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_XPOI_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WAUW_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCA_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NATH_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ARCI_EPS_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ATCC_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBK_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CGA_EPS_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AMD_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EQT_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AFSI_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_VIP_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_VTN_TO_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EYTC_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUG_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTSRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DELT_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SIBC_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SIHI_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GACONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HULL_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTC_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_JMAR_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MASI_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WNC_EPS_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GBCB_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ANZ_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUFCQ_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OREREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NUWV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HTCO_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.BEAMEUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ECLP_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTXC_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PAOS_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BD_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_R_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCF_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BLX_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VASTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLS_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CZN_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ITYBY_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PGRA_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALSTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCNB_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_NK1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BITI_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LUX_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KMGG_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GAV_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBEM_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCNF_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_HG1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CVN_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DBTB_EV_SALES']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_VSNX_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNNRMN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAXS_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NENGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFUL_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WGA_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUDS_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHTRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SIDE_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FLL_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ATCM_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SUNW_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HPAC_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ABRI_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SLB_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBKC_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OBSD_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EMUS_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FFLC_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_YSEK_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AHIZQ_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCBZ_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CSEF_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RNOW_EFF_TAX_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AFCE_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EPCT_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CERE_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUDS_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFSC_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CYIO_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DRRX_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTXC_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTX_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FTK_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_VSGIQ_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IATRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EVSI_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KFRC_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MALL_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TWCP_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AREADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUFCQ_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_CC1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LNU04076955']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MESTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LTR_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBK_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLGE_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IACORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GNET_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BWEB_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCN_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXP_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GABP1FH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKT_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXCL_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_YM1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKT_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PULB_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYTOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ADES_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RAMV_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFT_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBC_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAOT_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MIK_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NBR_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LLY_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EVK_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTXC_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_TY1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCNB_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HALO_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ELRN_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUFCQ_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RAM_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AG_EPS_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUM_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PUBO_INSIDER']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_INRG_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAK_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CAS_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXCO_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AI_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WSTL_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CPA_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTSX_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ACXM_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NVDA_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTXC_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SPLI_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCBS_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NVAX_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTTOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHSTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_YHOO_INSIDER']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AETC_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KAZ_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HGR_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCTOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_LB1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCGT_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBAY_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSNA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NVAS_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MALL_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AHLS_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WX_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MISLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AIG_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WHLM_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBKC_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TAMB_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CGRE_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBMT_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EESH_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAM_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GB_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NFS_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVBPPRIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MHM_TO_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MUI_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INSTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SSW_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RDEN_PE_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ANFCI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJTOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WZE_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BKST_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_VDSI_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CYD_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBALB_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBR_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CYDX_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBAK_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GPT_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRNM_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DTSI_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ALLI_EPS_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCAL_EPS_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GOJO_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GWO_TO_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IMGV_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LAXAF_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTZ_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PVA_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ININFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BWR_TO_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAB_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBIZ_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CXM_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ICABY_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CMHS_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SAH_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTY_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NETOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WISLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLR_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_S1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ABCW_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAZ_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WPI_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NMUS_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PDE_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBIZ_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ELOT_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CDCY_EPS_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AMZN_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ESPPOPL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTI_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUG_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUGH_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IGEN_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WPP_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUBG_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LUB_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALTOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DAY_TO_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LACO_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_JADE_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFSC_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTI_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AWH_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RPTN_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MUINQ_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ARRW_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CHEZQ_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRGO_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYTRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OBSD_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HU_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCF_EPS_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTSG_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GTA_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CDCO_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BPHX_EV_SALES']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ATDB_TO_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LNU04076940']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IARVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PSE_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GGG_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCAI_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AUSPOPL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFT_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKSRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DAIO_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GBTVK_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IALEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAGS_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_UNO_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAGS_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNTOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLG_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LATD_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTSO_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBKR_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DPDW_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCMC_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MONA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NATH_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LARK_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MEXP_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MCD_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBK_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASFI_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GNA_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SONX_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBTT_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NVAX_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IDSA_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLR_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AG_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_FC1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_TF1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKR_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_QCOR_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BIOL_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCF_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AKZOY_EV_SALES']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SGBI_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBTM_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCGT_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_JBLU_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DHX_TO_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TSC_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KCS_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CUSR0000SASL2RS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AMCF_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCM_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BESI_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBAY_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTMS_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ATCT_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXCO_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SHMR_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OMEX_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SLGLF_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OLY_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUMP_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTZ_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDTRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCNB_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NOV_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HBCP_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASRNF_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBI_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MORVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_COHY_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NVAS_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSTRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASFE_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SIII_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ININ_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CTCH_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AIA_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AETC_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EX_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OBSD_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_EH1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LNU04073397']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXCO_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_VX1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_USAI_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NVAL_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MIKE_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CBIS_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBH_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUFCQ_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OREPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LUV_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWAC_EPS_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MESLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTI_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NVAL_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.ALUMINIUM_21']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PAOS_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTI_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KOREA_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FYFR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CLB_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWFS_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FAC_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFST_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SGC_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DRCO_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PLRA_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_XJT_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SALNC_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBKC_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BDSI_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNVHQ_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PUBSF_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBKC_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SIR_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ECHO_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCC_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GNCMA_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXBT_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBKC_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TRCI_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CIV_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKSTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IGCO_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BKH_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTZ_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCAL_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBL_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DQE_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CDCS_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LAZ_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ITHH_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBA_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBALB_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IANRMN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NEWCQ_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBALB_EV_SALES']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OPTM_EPS_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CANPOPL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXBD_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ATA_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBAK_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LVLT_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COTOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_CL2']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FE_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBAY_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAYN_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKR_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBALB_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TRLG_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTA_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFUL_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CHK_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FTS_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CERE_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_INRG_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_APEI_EFF_TAX_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BEVFF_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AREWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBAY_EPS_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALSRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MASLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ALTM_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLR_INSIDER']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WSBC_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PCEPILFE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GIN_TO_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DSSI_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAUP_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GISX_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTXX_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAYN_EPS_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MHH_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ALAB_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBIZ_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RITRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MUEI_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TWLL_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ITI_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AAC_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AGA_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUGH_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBFP_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OC_PE_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NLPN_INSIDER']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GLM_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAVS_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_BO1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OC_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLGE_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_JCI_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BDSPY_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASFE_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.USHVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_APPS_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBKC_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TRIT_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_COT_223']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CYFT_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HATH_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SOUP_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ELAS_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SVU_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTX_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CYDX_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKT_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_UNRG_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DII_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NATH_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBGI_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FR_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MUIN_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTSI_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWA_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUMP_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CPQQ_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LARVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MUINQ_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TSMA_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_JCDAD_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AVCA_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_XEL_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_XDSL_EV_SALES']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EX_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DAP_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KAMN_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKT_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_JNJ_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCNB_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GBBK_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KDE_EV_SALES']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NCEB_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OC_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BHIP_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CNWT_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SDIXE_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CACH_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CLPTE_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RAM_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLGE_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLR_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FDTR_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AULV_TO_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CUSR0000SEAF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASD_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WANA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CEI_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BIOD_EPS_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.STEELBILLET_46']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BEAC_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBF_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AGN_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MMG_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DNTK_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PCLN_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MODT_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CYTP_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDTRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DHI_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKT_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWLIA_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PDEX_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SKD_TO_EPS_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CEAH_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ATAC_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_SX1991']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NASC_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DAAT_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AXL_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NBL_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BIOA_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WCG_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VACORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CYBS_EPS_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAGS_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PBR_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ZNH_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HDSNC_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WOLF_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_SB1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_NG1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBALB_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_LN1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBMI_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FDCC_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_INTM_EPS_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DSTME_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SEEC_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBCP_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DCD6M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUF_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXAS_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HATH_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_XNPT_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IPIC_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBSI_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AEP_EPS_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LEHMQ_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CYDX_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ELOY_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GBCS_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BHP_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SIII_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CUSR0000SEHC01']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBCP_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AERO_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_O1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DAN_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDSRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PRU_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RAMS_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKT_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUF_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DYOLF_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FL_TO_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKT_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBKC_PE_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCSRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AWR_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AGY_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AIA_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHSTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTSX_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AMZ_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTXC_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DOV_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASI_EFF_TAX_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HYBT_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KMB_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HMII_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CASLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BTH_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EVSI_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_STMP_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_VII_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASFG_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTTL_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NCCN_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PMTRE_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SYXI_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCAS_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KAZ_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_STHKQ_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FET_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MOAT_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ACLS_EPS_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_DJ1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.POP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DXN_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HBBI_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MICONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXCO_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IGC_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DAY_TO_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ELRNF_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WASLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRMZ_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_VWKS_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUBG_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PAII_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TSH_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWA_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.JPNPOPL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CACORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASB_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OREFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAR_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HBBI_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_UBMT_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_CZ1999']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RAL_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTSTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBKC_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBAS_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_QGENF_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WADE_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAIR_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAOT_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SIBM_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_JMAR_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCAS_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_QLTY_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VANGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFSG_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLGE_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASFE_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_CD1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NVT_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNSA_INSIDER']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCF_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAXS_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OREMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TSIX_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HMLF_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_F_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DII_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAHNE_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAHNE_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTTL_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTSG_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GBBK_EPS_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TZMT_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCBQ_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXP_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRGN_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ENVG_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CUSR0000SETA02']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PULB_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CYGN_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FYFSGDA188S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_QCOR_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LAWS_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DIAL_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCF_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GLBC_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AIA_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ENOV_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ENCC_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MOLI_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NATH_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ARTD_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.M04I1ADE00ESSM372NNBR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_MM2013']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CBONQ_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_UFCS_INSIDER']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_POSO_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HBBI_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NPO_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCTRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBK_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LVDL_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HB_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PUDA_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BODY_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWAC_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCM_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUGH_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DHOM_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ACET_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HBC_TO_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OIIM_INSIDER']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNVH_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DERVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LAWEQ_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SLF_TO_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MRT_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HULL_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AETC_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GAHC_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDSTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MECONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DMEDF_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCB_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CEY_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWFS_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FFTIQ_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAXI_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MS_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_XOSY_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSNA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LAYN_EPS_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GRM_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MIKE_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BFBC_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NICK_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_VFGI_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKR_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HULL_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTA_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCST_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAS_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ZRAN_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBL_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_JBSS_EFF_TAX_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCM_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAHNE_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFUL_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VATOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PWHSQ_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUDS_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DCD1M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OBSD_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTXC_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTTOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SBY_TO_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WPP_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTC_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CXP_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNUS_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EMPA_TO_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CEAI_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_COO_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTI_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYNA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HKN_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNVHQ_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MFB_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFUE_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBAK_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_QPSA_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUF_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBNKQ_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_QD_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CPIULFSL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRI_EV_SALES']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PUDA_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SBLK_EFF_TAX_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CGFW_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DJT_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BED_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DVBC_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBH_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GANGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CNRD_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_COT_246']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TTLA_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GAS_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ANII_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ELRC_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWA_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRN_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NVDA_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKNRMN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTTL_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LATD_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CBHI_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WMAR_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NIV_PE_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HMLF_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IATV_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_UFBS_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GAS_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBA_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SOLF_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ASPUS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHNA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HON_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_INCY_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OBAS_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTSI_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TERMCBCCALLNS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAMA_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TSFT_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AFBRE_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXAR_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CILE_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IGCO_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AC_TO_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLR_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CANGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GB_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NPLI_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLR_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HICORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CCLAY_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HULL_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CITP_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ALOG_EPS_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_GI1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DAYR_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OPTV_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_MZ2011']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BDX_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DOX_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GTLL_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GACORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLGE_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUMP_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_XOXO_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CNL_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OXY_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_YONG_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTI_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DHX_TO_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAM_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LOOP_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NAV_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ECEC_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PNFTQ_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUG_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ALTI_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ADMGQ_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_QBRA_TO_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RICORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CLX_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CYIO_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EGLT_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKT_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MUI_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ISRATIO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SBL_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GBBK_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_QIHU_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNSRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WRLT_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CAQ_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_BOV2010']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CFFN_PE_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYNRMN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TRH_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LPTN_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KCI_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OREOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HNR_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBL_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRRB_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MON_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GCGC_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NRXI_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SHDB_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTXC_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DGS10']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ARXT_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASFG_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFX_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CUSR0000SACL1E']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PRVH_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COSTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_VNX_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCC_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IRAE_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CYBS_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AEO_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MULM_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RANKY_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_STRS_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAHN_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CYCC_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUG_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_USON_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CZNC_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TSIX_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXSR_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MDER_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FDRY_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CGA_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OREART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NUR_TO_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NATH_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SMCS_EV_SALES']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASBH_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DACGQ_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_PL1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GBBK_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SOMC_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BPHX_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDTRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LAWEQ_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ANTC_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAWK_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_RR1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MUIN_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ARTW_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AUOM_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EWST_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_MM2012']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TWI_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_JMAR_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TECD_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LUV_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ALRN_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_M1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PYTO_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HTM_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EPHC_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GKIG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_CT1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NUV_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FORR_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUBG_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBH_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AETC_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AXL_TO_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_VISI_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBFP_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MCBI_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SSYS_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.COPPER_6']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MYOG_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BD_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTH_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FMNL_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CTE_EPS_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OC_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_FF1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TDC_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_XRA_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SII_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXAM_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_JOES_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ARRS_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_TV2011']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OBCI_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WARR_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORNRMN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CVG_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RAMV_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTNA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASGXF_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PGNT_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ALOG_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FZN_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DGORDER']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OI_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BMBN_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GSPG_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWIN_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OTTR_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBCP_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCC_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ACOC_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SBX_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMTOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EAGB_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PCEDG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VANRMN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GFN_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRMZ_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LACI_EV_SALES']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AMIN_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AFFX_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ANLT_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FLEX_EFF_TAX_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DVW_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CAMD_EPS_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYTRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNUS_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NITE_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_STRM_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLGE_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NATL_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NESRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXBY_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ETVL_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NYT_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GASS_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_UIC_PE_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLR_EFF_TAX_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PEDE_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFSG_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GASLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DMX_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GNW_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SFY_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBALB_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTXX_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BEAS_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FEIC_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ENSGE_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNVT_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AG_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASFE_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ACET_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SAIA_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CAL_TO_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_SK2002']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NOA_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_JNY_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RINGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_MK2011']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EBNX_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FB_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SHOC_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.BOPXGS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFSIA_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FFHL_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAYN_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.COBALT_51']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_SM1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAGS_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FFCO_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLS_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTSI_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DHB_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LARL_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTSI_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXSR_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_INTU_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NXTYQ_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MIK_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAVSY_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTNA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SLIXQ_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTA_INSIDER']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LVLT_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCM_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CYXG_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UNRATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NATWQ_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LNU04049526']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTYG_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHNRMN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTY_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SAMB_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RISRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHTOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HU_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LVEL_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CAFI_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EW_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NKO_TO_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAGS_EFF_TAX_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ELTE_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ADAP_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TOBC_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTSX_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AMBA_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WINA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GACFQ_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MANGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWLIA_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDNA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_US1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXAS_EPS_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYLF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HDWR_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NERGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WD_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CUSR0000SEEE01']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BLVT_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ORNI_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTZ_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBK_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NEU_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCC_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MRK_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FUN_EPS_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MSHL_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NXTL_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TM_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_JCTCF_EPS_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRNT_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBALB_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBFP_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBL_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_VSNT_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MIICF_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTZ_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TWIN_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBALB_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTXC_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNNA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBI_EPS_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TOF_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRMZ_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCSRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCF_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.M04111GBM318NNBR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFUL_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GATT_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ROCK_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBA_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CUSR0000SAS367']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PALC_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFUE_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SAIA_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAXS_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTH_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HOUST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWFL_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VARGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IAL_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PICO_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SVR_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LAYN_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LVDL_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EFC_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FTLK_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NVAS_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBALB_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OTGS_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NSO_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBKC_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCNA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OC_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAGS_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_VGR_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OTWO_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DV_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NTXY_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.USARGDPH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUGH_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBSI_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MARGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OSHC_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCAS_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CSG_EPS_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SSFC_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MBRG_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SOLR_EV_SALES']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWAC_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBALB_EPS_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LATD_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SVUL_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GSWA_TO_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BPAX_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUFCQ_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_XBOR_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HALL_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NERVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SMCX_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FISV_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_XNR_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAHN_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MHX_PE_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OC_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CVM_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WOC_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CBSA_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFST_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SIR_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLG_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LASLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_SK2011']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NVDA_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GIVN_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BLL_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_HO1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCCN_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKNA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ORS_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ALCI_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCC_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.LEAD_31']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OMED_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AOLA_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFUE_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFX_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCTOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_USB_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBHS_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MULM_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AEIS_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AFFX_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FTRM_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LAS_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBLQ_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUMP_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SWYC_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ELUT_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBAY_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCAI_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXAP_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBHS_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRNM_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_DX1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKT_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GB_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCAL_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCNB_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CBE_TO_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ASPTFVAG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PANC_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBKR_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.GOLD_2']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAGS_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OC_REV_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_XOXOQ_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBLQ_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CHRS_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAUP_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_VIAN_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFST_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBHS_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTC_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CARVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NXWXQ_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CORVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PARGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNWL_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRMT_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_SH1994']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BJ_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTSTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ELTE_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BLUSF_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBAY_PE_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCEX_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GOSHA_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJBP1FH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTXX_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BCO_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWA_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FULT_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NYTE_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_USBU_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MNY_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MARVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AEIS_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MUI_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ICBG_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_RB1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OC_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RTK_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CTDB_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_OJ1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PANGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OBSD_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ISR_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWLIA_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_INRG_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBC_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUFCQ_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WEB_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GBTVK_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SMTB_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MHC_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCAP_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCN_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTYG_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_POWR_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ARCT_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LUX_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORBP1FH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_JMAR_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NASC_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTI_TO_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBKC_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAGS_INSIDER']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCF_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LARS_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DNR_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KCI_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUFCQ_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BDK_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DAN_PE_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRN_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBAN_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NAP_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCNF_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBAS_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORTOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WICORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CYT_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ANRC_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IATOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTTL_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYSTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_JYH2011']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GBCB_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TOL_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LKI_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBN_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUDS_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTTL_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKR_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WLDAE_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCN_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUGH_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_H_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_VIMC_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BPSG_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MNMM_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AQCI_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SORT_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CPIAUCSL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_INRG_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NMUS_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RINA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SII_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ECL_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCF_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKR_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GAC_TO_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CPQ_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DTB3']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTBP1FH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SHFK_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ONTC_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DLHC_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBR_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MALEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCBS_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HNV_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBALB_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_APOG_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MATRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HDLM_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DPAT_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCF_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EMAG_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBR_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FGHC_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FESX_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NU_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBL_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJNA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GCI_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CERO_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OPNT_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KCG_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GAHI_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCN_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MUINQ_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TPGI_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AEY_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_A_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BIZ_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLGE_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBALB_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFF_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAOT_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DBRN_EFF_TAX_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FYFSD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALTRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BDX_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AOLA_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RSC_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCBQ_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCGT_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AMS_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NATH_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MEA_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AROTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUBG_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NGTE_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_VBR_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBL_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ADVR_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AOB_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NAUT_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GAX_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBR_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AEIS_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCC_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DORB_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KAZ_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DENT_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PMBC_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RTIX_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OC_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCNB_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HBDB_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDLF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HBBI_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IMDSD_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MDT_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GBCB_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTZ_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DHOM_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PACR_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AIS_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBHS_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GASS_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KOMG_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_UCU_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.MOLYBDENUM_56']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MALL_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ALLT_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DIMC_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NEBS_CORREL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LXBK_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNA_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DBRN_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBK_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GGNS_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CXR_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FIWC_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBKC_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCC_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BCU_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLR_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTH_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNVT_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUDS_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBA_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AFBR_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXSTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BED_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EMBT_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFUE_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCM_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_GCM2013']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LATRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GXY_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WOR_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SIDGQ_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDSTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HULL_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASRNF_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RDNT_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MATOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBST_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASPV_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PXD_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PHIV_EV_SALES']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCF_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NATH_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LVLT_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ENSG_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DSII_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ABHH_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DAAT_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASFE_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OC_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBKC_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OBSD_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTTOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ABZS_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OSIR_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CWST_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ELOYD_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ACTL_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASVP_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KMGB_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KINT_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAWFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTC_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PAG_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OGLE_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HBC_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLS_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNTA_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DJO_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SLW_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASFI_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.USHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AEL_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SAI_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EX_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBR_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SO_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ELTE_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKR_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ARW_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASFE_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HULL_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PSTF_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBALB_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DTII_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_UTDL_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CEEC_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BDSPY_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NECORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HAVS_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_GC2']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_GC1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ADFS_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCNB_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLS_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBALB_PE_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PACORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBCIQ_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_JY1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PMTI_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DATA_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EBTC_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GARGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AGY_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLGE_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DAVE_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCF_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBCIQ_FIRM_VAL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_INRG_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MUINQ_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRNM_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BELFA_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CUSR0000SEHG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ROP_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXAR_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MACONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NUWV_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GASE_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDCONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RANKY_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBNKQ_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUG_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_APOS_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBAY_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IAIS_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AMSGA_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GARB_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KNOS_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKR_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CASB_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PANW_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBH_EV_SALES']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PALEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IARGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CWDW_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TRFC_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ESV_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CTCI_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PAET_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BEAS_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_W2']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WVCM_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_AD1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OC_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVWMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBALB_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBCP_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AONEQ_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CPILFESL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PPD_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUBG_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PCOM_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_JAGI_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IGC_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MODME_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HSGB_TO_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ERS_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CYFC_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AMED_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BMS_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBCS_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TSIX_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTSI_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDFIRE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ALC_TO_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CBCF_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ATEG_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAHNE_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CEFT_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OBSD_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRKT_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HATH_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SIMG_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OREFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBIZ_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CASRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AET_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCC_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBK_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LVDL_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYNA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MORGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMEDUH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ONXS_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDWEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUF_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRN_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUG_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBMS_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MERGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_X_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NATR_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NAMC_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTA_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NUVA_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBCP_PE_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTI_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KAZ_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GLA_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MUI_REV_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_CL1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDEOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUGH_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WEBX_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EMLX_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTEADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCN_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWAY_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FAMEC_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_POPT_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTI_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EPEX_REINV_RATE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBALB_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NURO_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MIICF_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LVEL_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BLS_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FYONET']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBIZ_EPS_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSTRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BBG_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXDSQ_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FCCY_EFF_TAX_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PAYEMS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NCEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SALN_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WAXS_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXC_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.BOPBCA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BULL_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRGIY_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ACEL_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DVOX_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_SU1995']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NYWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBKC_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBA_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MU_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SSGI_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBALB_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PPG_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCC_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LABPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWAY_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DMN_PAYOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CTEC_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDTOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COSLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXE_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUMP_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWBD_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTZ_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MUIN_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WHAIQ_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCCM_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLS_EPS_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MALL_SGA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAKR_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXCL_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'YAHOO.INDEX_GSPC.6']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WDKA_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COWHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CATOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OREMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KO_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHNA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNMO_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.INDEX_WSJ_BENCHMARK_2']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SJI_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAOT_EV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTSX_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LUNA_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBAS_CHG_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GATT_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_MJ2013']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EGR_PE_CURR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CAE_TO_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORTRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MSRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEWMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MABPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEWTRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VASLGRTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ORGN_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DFS_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_SI1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCNB_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXAM_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NVT_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BDX_PE_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYTRAD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NMNRMN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAGS_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MBWM_PE_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WTEC_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFUE_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DORM_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJEDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DHB_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OREEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBL_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PNFT_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTYG_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FENG_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WYNRMN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRTP_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AMCP_EV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DEEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAGS_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTCT_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLCORPINCTX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTSI_CASH_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OHEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUF_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUGH_STDEV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDSRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIWOTH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GAX_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZEMAN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MAGS_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CVGI_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DIR_EPS_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PTTL_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MWV_NCWC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZINCTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ABCB_BETA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RAQC_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GARM_EV_SALES']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WVNRMN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EX_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXECON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYEFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ACXM_EPS_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.SILVER_5']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MS_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBKC_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTOTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MINGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VTWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UTWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLR_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FWLT_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GPN_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDEPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKEEDU']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CWB_TO_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCGT_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DOLE_REINV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTEHEA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_DBRN_REV_GRO_EXP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASFG_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIPCPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALGOVT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NVAS_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LVLT_HILO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SDEART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IGC_EV_SALESTR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_TEF_EV_SALES']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GANA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ILEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTRVAC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GARM_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AKWINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KAZ_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NBII_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MZIAQ_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ARWM_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_JMAR_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKNA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_UREE_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LAWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NATK_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OREINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GBCS_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BCKE_EV_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSNRMN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_BP1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ASPTFFHAI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_EC1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLR_EPS_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ORWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBKC_REV_LAST']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WAWCON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AHMX_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFUE_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_UCIA_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBKC_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_HUBG_PE_G']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GBBK_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OIL_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MTMR_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GARB_P_S']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNWADM']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COMPOUT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CZN_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KAZ_TRAD_VOL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEPOP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CDGEF_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_KC1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MWFS_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_QHGI_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWIN_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CNMT_TOT_DEBT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NVEUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.PACONS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDPBSV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IBNK_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MOWREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AMCG_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BELM_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.INDEX_BDI_1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CAB_PE_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BBV_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_YHOO_CASH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.LASRVO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MEHOWN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_LMNR_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXBY_CASH_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ANFI_EBIT_1T']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBH_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SNT_NET_INC_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_Q_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PFE_PE_FWD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NEWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBK_INV_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_STTC_CASH_FV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RIWPRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IMDC_INSIDER']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCAS_NET_INC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KESI_ROE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KBH_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWK_NET_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_LC1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_GAV_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OART_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SMDI_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AIR_DIV_YLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AUR_TO_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OBSD_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BSTC_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MIEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MUI_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRNM_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NBD_TO_EPS_GRO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MPH_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.SCEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.COMFG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FBF_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SGAL_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_XELR_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CAWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NUWV_FCFF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ASPX_MKT_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MAALCLICTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_SAAS_MKT_CAP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NGNM_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CIVC_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GABPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFUE_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDEMIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ALTE_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RGIDQ_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TERMAFCNCNSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_PSAZ_FLOAT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_UNRG_MKT_DE']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.INWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DESTHPI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_RANKY_DIV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MNWACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIENON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCAS_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_XOHO_EV_EBITDA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WEBB_FIXED_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_ENPT_BV_EQTY']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXCL_REV_12M']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDNGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BDSPY_REV_TRAIL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AREFOR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NJWFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_KAZ_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ARTOTLTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYEWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_WGNB_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHINFON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_AEOS_CAPEX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_SP1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IDLF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TNWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MTLEIH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXLF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CEN_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCLR_ROC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_BIOC_BETA_VL']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OAOT_INST_HOLD']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_JNEI_OP_MARG']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_OCAI_BV_ASSETS']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_FETM_DEPREC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ALPROPTAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.MDEFIN']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IFTC_INTANG_TOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NHEACC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_MU_EV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.AZWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_EXDSQ_P_BV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ASPTFC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.IAWWHO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.FLETRA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.VAEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CBC_EFF_TAX']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_QDIN_NCWC_REV']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GAWNON']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HIWART']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_CRAN_EBIT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIWUTI']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KYBP1FH']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.KSWDUR']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_NWAY_BOOK_DC']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.WIEREA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.NDWTOT']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.TXBPPRIVSA']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.OKRGSP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CTEINF']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.DMDRN_IGC_EV_EBITDA']\n", "Index([OFDP.DMDRN_IGC_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([FRED.CTEINF - Value], dtype=object)\n", "Index([FRED.OKRGSP - Value], dtype=object)\n", "Index([FRED.TXBPPRIVSA - Value], dtype=object)\n", "Index([FRED.NDWTOT - Value], dtype=object)\n", "Index([FRED.WIEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_NWAY_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.KSWDUR - Value], dtype=object)\n", "Index([FRED.KYBP1FH - Value], dtype=object)\n", "Index([FRED.WIWUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_CRAN_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.HIWART - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.GAWNON - Value], dtype=object)\n", "Index([OFDP.DMDRN_QDIN_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_CBC_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([FRED.VAEINF - Value], dtype=object)\n", "Index([FRED.FLETRA - Value], dtype=object)\n", "Index([FRED.IAWWHO - Value], dtype=object)\n", "Index([FRED.ASPTFC - Value], dtype=object)\n", "Index([OFDP.DMDRN_EXDSQ_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.AZWWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_MU_EV - Enterprise Value], dtype=object)\n", "Index([FRED.NHEACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFTC_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MDEFIN - Value], dtype=object)\n", "Index([FRED.ALPROPTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_FETM_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_OCAI_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_JNEI_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([OFDP.DMDRN_OAOT_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([OFDP.DMDRN_BIOC_BETA_VL - Value Line Beta], dtype=object)\n", "Index([OFDP.DMDRN_OCLR_ROC - Return on Capital], dtype=object)\n", "Index([OFDP.DMDRN_CEN_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([FRED.TXLF - Value], dtype=object)\n", "Index([FRED.MTLEIH - Value], dtype=object)\n", "Index([FRED.TNWTOT - Value], dtype=object)\n", "Index([FRED.IDLF - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.FUTURE_SP1 - Open, OFDP.FUTURE_SP1 - High, OFDP.FUTURE_SP1 - Low, OFDP.FUTURE_SP1 - Settle, OFDP.FUTURE_SP1 - Volume, OFDP.FUTURE_SP1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_AEOS_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.NHINFON - Value], dtype=object)\n", "Index([OFDP.DMDRN_WGNB_ROC - Return on Capital], dtype=object)\n", "Index([FRED.KYEWHO - Value], dtype=object)\n", "Index([FRED.ARTOTLTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_KAZ_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([FRED.NJWFIN - Value], dtype=object)\n", "Index([FRED.AREFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_BDSPY_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.IDNGSP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_EXCL_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([OFDP.DMDRN_ENPT_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([OFDP.DMDRN_WEBB_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_XOHO_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OCAS_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([FRED.WIENON - Value], dtype=object)\n", "Index([FRED.MNWACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_RANKY_DIV - Dividends], dtype=object)\n", "Index([FRED.DESTHPI - Value], dtype=object)\n", "Index([FRED.INWACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_UNRG_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_PSAZ_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([FRED.TERMAFCNCNSA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_RGIDQ_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_ALTE_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.NDEMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFUE_EV - Enterprise Value], dtype=object)\n", "Index([FRED.GABPPRIVSA - Value], dtype=object)\n", "Index([FRED.HIEMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_CIVC_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.DMDRN_NGNM_ROC - Return on Capital], dtype=object)\n", "Index([OFDP.DMDRN_SAAS_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([FRED.MAALCLICTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_ASPX_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_NUWV_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([FRED.ARWUTI - Value], dtype=object)\n", "Index([FRED.CAWUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_XELR_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.DMDRN_SGAL_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_FBF_ROC - Return on Capital], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.COMFG - Value], dtype=object)\n", "Index([FRED.SCEINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_MPH_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([OFDP.DMDRN_NBD_TO_EPS_GRO - Growth in Earnings Per Share], dtype=object)\n", "Index([OFDP.DMDRN_CRNM_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([OFDP.DMDRN_MUI_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([FRED.MIEWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_BSTC_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OBSD_EV - Enterprise Value], dtype=object)\n", "Index([OFDP.DMDRN_AUR_TO_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([OFDP.DMDRN_AIR_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([OFDP.DMDRN_SMDI_ROC - Return on Capital], dtype=object)\n", "Index([OFDP.DMDRN_OART_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_GAV_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([OFDP.FUTURE_LC1 - Open, OFDP.FUTURE_LC1 - High, OFDP.FUTURE_LC1 - Low, OFDP.FUTURE_LC1 - Settle, OFDP.FUTURE_LC1 - Volume, OFDP.FUTURE_LC1 - Open Interest], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_NWK_NET_MARG - Net Margin], dtype=object)\n", "Index([OFDP.DMDRN_KBH_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_KESI_ROE - Return on Equity], dtype=object)\n", "Index([FRED.KYNGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCAS_NET_INC - Net Income], dtype=object)\n", "Index([OFDP.DMDRN_IMDC_INSIDER - Insider Holdings], dtype=object)\n", "Index([FRED.RIWPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_STTC_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_KBK_INV_CAP - Invested Capital], dtype=object)\n", "Index([FRED.NEWTOT - Value], dtype=object)\n", "Index([OFDP.DMDRN_PFE_PE_FWD - Forward PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_Q_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_SNT_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([OFDP.DMDRN_KBH_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_ANFI_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([OFDP.DMDRN_LMNR_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([FRED.MEHOWN - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.LASRVO - Value], dtype=object)\n", "Index([OFDP.DMDRN_YHOO_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_BBV_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([OFDP.DMDRN_CAB_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([OFDP.INDEX_BDI_1 - Index], dtype=object)\n", "Index([OFDP.DMDRN_BELM_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_AMCG_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([FRED.MOWREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBNK_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.NDPBSV - Value], dtype=object)\n", "Index([FRED.PACONS - Value], dtype=object)\n", "Index([FRED.NVEUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_CNMT_TOT_DEBT - Total Debt], dtype=object)\n", "Index([OFDP.DMDRN_NWIN_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([OFDP.DMDRN_QHGI_ROE - Return on Equity], dtype=object)\n", "Index([FRED.NVPROPTAX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_MWFS_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.FUTURE_KC1 - Open, OFDP.FUTURE_KC1 - High, OFDP.FUTURE_KC1 - Low, OFDP.FUTURE_KC1 - Settle, OFDP.FUTURE_KC1 - Volume, OFDP.FUTURE_KC1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_CDGEF_NET_INC - Net Income], dtype=object)\n", "Index([FRED.NEPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_KAZ_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([OFDP.DMDRN_CZN_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([FRED.COMPOUT - Value], dtype=object)\n", "Index([FRED.MOBPPRIVSA - Value], dtype=object)\n", "Index([FRED.TNWADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_GARB_P_S - Price to Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_MTMR_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([OFDP.DMDRN_OIL_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([OFDP.DMDRN_GBBK_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([OFDP.DMDRN_HUBG_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([OFDP.DMDRN_KBKC_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_UCIA_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([FRED.HIWTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_IFUE_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_AHMX_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.WAWCON - Value], dtype=object)\n", "Index([FRED.GAPROPTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBKC_REV_LAST - Revenues], dtype=object)\n", "Index([FRED.ORWART - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCLR_EPS_FWD - Forward Earnings Per Share], dtype=object)\n", "Index([FRED.INPROPTAX - Value], dtype=object)\n", "Index([OFDP.FUTURE_EC1 - Open, OFDP.FUTURE_EC1 - High, OFDP.FUTURE_EC1 - Low, OFDP.FUTURE_EC1 - Settle, OFDP.FUTURE_EC1 - Volume, OFDP.FUTURE_EC1 - Open Interest], dtype=object)\n", "Index([FRED.ASPTFFHAI - Value], dtype=object)\n", "Index([OFDP.FUTURE_BP1 - Open, OFDP.FUTURE_BP1 - High, OFDP.FUTURE_BP1 - Low, OFDP.FUTURE_BP1 - Settle, OFDP.FUTURE_BP1 - Volume, OFDP.FUTURE_BP1 - Open Interest], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.TXWART - Value], dtype=object)\n", "Index([FRED.KSNRMN - Value], dtype=object)\n", "Index([OFDP.DMDRN_BCKE_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_GBCS_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([FRED.OREINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_NATK_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([FRED.ALINFON - Value], dtype=object)\n", "Index([FRED.LAWPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_UREE_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.OKNA - Value], dtype=object)\n", "Index([OFDP.DMDRN_JMAR_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_ARWM_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_MZIAQ_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_NBII_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.DMDRN_KAZ_ROE - Return on Equity], dtype=object)\n", "Index([FRED.AKWINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_GARM_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.MTRVAC - Value], dtype=object)\n", "Index([FRED.ILEWHO - Value], dtype=object)\n", "Index([FRED.GANA - Value], dtype=object)\n", "Index([OFDP.DMDRN_TEF_EV_SALES - EV To Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_IGC_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([FRED.SDEART - Value], dtype=object)\n", "Index([OFDP.DMDRN_LVLT_HILO - Hi-Lo Risk], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.WIINFON - Value], dtype=object)\n", "Index([FRED.ALGOVT - Value], dtype=object)\n", "Index([FRED.SDWWHO - Value], dtype=object)\n", "Index([FRED.HIPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_ASFG_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([OFDP.DMDRN_DBRN_REV_GRO_EXP - Expected Growth in Revenues], dtype=object)\n", "Index([FRED.CTEHEA - Value], dtype=object)\n", "Index([FRED.HIWCON - Value], dtype=object)\n", "Index([OFDP.DMDRN_DOLE_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_OCGT_NET_INC - Net Income], dtype=object)\n", "Index([OFDP.DMDRN_CWB_TO_INV_CAP - Invested Capital], dtype=object)\n", "Index([FRED.WIPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.AKEEDU - Value], dtype=object)\n", "Index([FRED.IAWDUR - Value], dtype=object)\n", "Index([FRED.NDEPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_GPN_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_FWLT_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([OFDP.DMDRN_OCLR_ROE - Return on Equity], dtype=object)\n", "Index([FRED.UTWADM - Value], dtype=object)\n", "Index([FRED.VTWART - Value], dtype=object)\n", "Index([FRED.MINGSP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MTOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_KBKC_P_S - Price to Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_MS_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([FRED.MEWREA - Value], dtype=object)\n", "Index([OFDP.SILVER_5 - USD, OFDP.SILVER_5 - GBP, OFDP.SILVER_5 - EUR], dtype=object)\n", "Index([OFDP.DMDRN_ACXM_EPS_FWD - Forward Earnings Per Share], dtype=object)\n", "Index([FRED.CTEPRO - Value], dtype=object)\n", "Index([FRED.KYEFOR - Value], dtype=object)\n", "Index([FRED.TXECON - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_EX_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([FRED.WVNRMN - Value], dtype=object)\n", "Index([OFDP.DMDRN_GARM_EV_SALES - EV To Sales Ratio], dtype=object)\n", "Index([FRED.KSENON - Value], dtype=object)\n", "Index([OFDP.DMDRN_RAQC_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_ABCB_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([FRED.AZINCTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_MWV_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([FRED.IAWART - Value], dtype=object)\n", "Index([OFDP.DMDRN_PTTL_TOT_DEBT - Total Debt], dtype=object)\n", "Index([OFDP.DMDRN_DIR_EPS_GRO_EXP - Expected Growth in Earnings Per Share], dtype=object)\n", "Index([FRED.VTEINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_CVGI_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([OFDP.DMDRN_MAGS_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.AZEMAN - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.ILEACC - Value], dtype=object)\n", "Index([FRED.GAEUTI - Value], dtype=object)\n", "Index([FRED.TXALCLICTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_GAX_REV_LAST - Revenues], dtype=object)\n", "Index([FRED.MDEMIN - Value], dtype=object)\n", "Index([FRED.MIWOTH - Value], dtype=object)\n", "Index([FRED.MDSRVO - Value], dtype=object)\n", "Index([FRED.NDPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_HUGH_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_HUF_TOT_DEBT - Total Debt], dtype=object)\n", "Index([FRED.OHEMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_PTSI_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([FRED.FLCORPINCTX - Value], dtype=object)\n", "Index([OFDP.DMDRN_MTCT_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.KYEHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_MAGS_BETA_VL - Value Line Beta], dtype=object)\n", "Index([FRED.DEEMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_AMCP_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_CRTP_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.WYNRMN - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.RIEART - Value], dtype=object)\n", "Index([OFDP.DMDRN_FENG_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([OFDP.DMDRN_MTYG_NET_MARG - Net Margin], dtype=object)\n", "Index([OFDP.DMDRN_PNFT_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([FRED.SDOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.VAINCTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBL_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([FRED.OREEDU - Value], dtype=object)\n", "Index([FRED.OHECON - Value], dtype=object)\n", "Index([FRED.CTEFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_DHB_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([FRED.NJEDUR - Value], dtype=object)\n", "Index([FRED.NHMFG - Value], dtype=object)\n", "Index([OFDP.DMDRN_DORM_HILO - Hi-Lo Risk], dtype=object)\n", "Index([OFDP.DMDRN_IFUE_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_WTEC_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([OFDP.DMDRN_MBWM_PE_FWD - Forward PE Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_MAGS_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([FRED.NMNRMN - Value], dtype=object)\n", "Index([FRED.ORWINF - Value], dtype=object)\n", "Index([FRED.KYTRAD - Value], dtype=object)\n", "Index([OFDP.DMDRN_BDX_PE_FWD - Forward PE Ratio], dtype=object)\n", "Index([FRED.NDBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_NVT_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([FRED.GAWDUR - Value], dtype=object)\n", "Index([FRED.VTWINF - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_EXAM_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([OFDP.DMDRN_OCNB_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.MNWART - Value], dtype=object)\n", "Index([OFDP.FUTURE_SI1 - Open, OFDP.FUTURE_SI1 - High, OFDP.FUTURE_SI1 - Low, OFDP.FUTURE_SI1 - Settle, OFDP.FUTURE_SI1 - Volume, OFDP.FUTURE_SI1 - Open Interest], dtype=object)\n", "Index([FRED.ALWNON - Value], dtype=object)\n", "Index([OFDP.DMDRN_DFS_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_ORGN_NET_INC - Net Income], dtype=object)\n", "Index([FRED.NMALCLICTAX - Value], dtype=object)\n", "Index([FRED.VASLGRTAX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NEWTRA - Value], dtype=object)\n", "Index([FRED.MTINCTAX - Value], dtype=object)\n", "Index([FRED.MABPPRIVSA - Value], dtype=object)\n", "Index([FRED.NMMFG - Value], dtype=object)\n", "Index([FRED.HIRVAC - Value], dtype=object)\n", "Index([FRED.KSINCTAX - Value], dtype=object)\n", "Index([FRED.DEWMIN - Value], dtype=object)\n", "Index([FRED.NVENON - Value], dtype=object)\n", "Index([FRED.MTGOVT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MSRVAC - Value], dtype=object)\n", "Index([FRED.ORTRAD - Value], dtype=object)\n", "Index([OFDP.DMDRN_CAE_TO_EV - Enterprise Value], dtype=object)\n", "Index([OFDP.DMDRN_EGR_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([FRED.MIEPRO - Value], dtype=object)\n", "Index([OFDP.FUTURE_MJ2013 - Open, OFDP.FUTURE_MJ2013 - High, OFDP.FUTURE_MJ2013 - Low, OFDP.FUTURE_MJ2013 - Settle, OFDP.FUTURE_MJ2013 - Volume, OFDP.FUTURE_MJ2013 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_GATT_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([OFDP.DMDRN_IBAS_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([OFDP.DMDRN_LUNA_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_PTSX_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_OAOT_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([OFDP.DMDRN_SJI_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([OFDP.INDEX_WSJ_BENCHMARK_2 - Level, OFDP.INDEX_WSJ_BENCHMARK_2 - Yield], dtype=object)\n", "Index([FRED.OKEART - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_SNMO_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.MAEMAN - Value], dtype=object)\n", "Index([FRED.OHNA - Value], dtype=object)\n", "Index([FRED.ILWTRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_KO_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([FRED.OREMAN - Value], dtype=object)\n", "Index([FRED.CATOTLTAX - Value], dtype=object)\n", "Index([FRED.COWHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_WDKA_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([YAHOO.INDEX_GSPC - Adjusted Close], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.CAEART - Value], dtype=object)\n", "Index([FRED.IDEMAN - Value], dtype=object)\n", "Index([FRED.NJWWHO - Value], dtype=object)\n", "Index([FRED.VAWNON - Value], dtype=object)\n", "Index([FRED.MDWUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_EXCL_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_OAKR_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_MALL_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([FRED.RIBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCLS_EPS_FWD - Forward Earnings Per Share], dtype=object)\n", "Index([FRED.MDEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCCM_FCFF - Free Cash Flow to Firm], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_WHAIQ_CASH - Cash], dtype=object)\n", "Index([FRED.GAEREA - Value], dtype=object)\n", "Index([FRED.DEWNON - Value], dtype=object)\n", "Index([FRED.RIWREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_MUIN_HILO - Hi-Lo Risk], dtype=object)\n", "Index([OFDP.DMDRN_MTZ_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([FRED.INEINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_NWBD_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_HUMP_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([OFDP.DMDRN_EXE_CASH - Cash], dtype=object)\n", "Index([FRED.COSLGRTAX - Value], dtype=object)\n", "Index([FRED.MDTOTLTAX - Value], dtype=object)\n", "Index([FRED.ALWPRO - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.RIEMAN - Value], dtype=object)\n", "Index([FRED.TNWINF - Value], dtype=object)\n", "Index([FRED.DEWUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_CTEC_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_DMN_PAYOUT - Payout Ratio], dtype=object)\n", "Index([OFDP.DMDRN_NWAY_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.LABPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCC_NET_INC - Net Income], dtype=object)\n", "Index([OFDP.DMDRN_PPG_BETA_VL - Value Line Beta], dtype=object)\n", "Index([OFDP.DMDRN_KBALB_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_SSGI_DEPREC - Depreciation], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.DEWCON - Value], dtype=object)\n", "Index([OFDP.DMDRN_MU_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([FRED.SCWNON - Value], dtype=object)\n", "Index([OFDP.DMDRN_FBA_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([OFDP.DMDRN_KBKC_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([FRED.NYWACC - Value], dtype=object)\n", "Index([FRED.WYWTOT - Value], dtype=object)\n", "Index([FRED.CAWTOT - Value], dtype=object)\n", "Index([OFDP.FUTURE_SU1995 - Open, OFDP.FUTURE_SU1995 - High, OFDP.FUTURE_SU1995 - Low, OFDP.FUTURE_SU1995 - Settle, OFDP.FUTURE_SU1995 - Volume, OFDP.FUTURE_SU1995 - Open Interest], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NHSLGRTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_DVOX_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([OFDP.DMDRN_ACEL_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_CRGIY_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_BULL_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([FRED.OHWPRO - Value], dtype=object)\n", "Index([FRED.BOPBCA - Value], dtype=object)\n", "Index([OFDP.DMDRN_EXC_TOT_DEBT - Total Debt], dtype=object)\n", "Index([OFDP.DMDRN_WAXS_ROE - Return on Equity], dtype=object)\n", "Index([FRED.IAEEDU - Value], dtype=object)\n", "Index([FRED.IDEMIN - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_SALN_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([FRED.NCEWHO - Value], dtype=object)\n", "Index([FRED.PAYEMS - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_FCCY_EFF_TAX_INC - Effective Tax Rate on Income], dtype=object)\n", "Index([OFDP.DMDRN_EXDSQ_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_BBG_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([FRED.COALCLICTAX - Value], dtype=object)\n", "Index([FRED.NYWCON - Value], dtype=object)\n", "Index([FRED.KSTRAD - Value], dtype=object)\n", "Index([OFDP.DMDRN_FBIZ_EPS_GRO - Growth in Earnings Per Share], dtype=object)\n", "Index([FRED.PAEUTI - Value], dtype=object)\n", "Index([FRED.FYONET - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_LVEL_REV_LAST - Revenues], dtype=object)\n", "Index([OFDP.DMDRN_MIICF_ROE - Return on Equity], dtype=object)\n", "Index([FRED.WYWNON - Value], dtype=object)\n", "Index([OFDP.DMDRN_NURO_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_KBALB_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([FRED.MDWTRA - Value], dtype=object)\n", "Index([FRED.INEREA - Value], dtype=object)\n", "Index([FRED.CTEMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_EPEX_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([OFDP.DMDRN_IFTI_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_FAMEC_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.KSECON - Value], dtype=object)\n", "Index([OFDP.DMDRN_NWAY_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([OFDP.DMDRN_OCN_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([FRED.CTEADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_EMLX_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_WEBX_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_HUGH_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([FRED.ALECON - Value], dtype=object)\n", "Index([FRED.SDEOTH - Value], dtype=object)\n", "Index([FRED.MEEPRO - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.FUTURE_CL1 - Open, OFDP.FUTURE_CL1 - High, OFDP.FUTURE_CL1 - Low, OFDP.FUTURE_CL1 - Settle, OFDP.FUTURE_CL1 - Volume, OFDP.FUTURE_CL1 - Open Interest], dtype=object)\n", "Index([FRED.COEEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_MUI_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([FRED.HIWUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_GLA_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_KAZ_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_IFTI_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_IBCP_PE_FWD - Forward PE Ratio], dtype=object)\n", "Index([FRED.ILEHEA - Value], dtype=object)\n", "Index([FRED.DEWTOT - Value], dtype=object)\n", "Index([OFDP.DMDRN_NUVA_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.IDEEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFTA_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_NAMC_NET_MARG - Net Margin], dtype=object)\n", "Index([FRED.FLPROPTAX - Value], dtype=object)\n", "Index([FRED.CTWNON - Value], dtype=object)\n", "Index([FRED.KYWWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_NATR_INV_CAP - Invested Capital], dtype=object)\n", "Index([OFDP.DMDRN_X_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([FRED.MERGSP - Value], dtype=object)\n", "Index([FRED.ALEACC - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_FBMS_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([OFDP.DMDRN_HUG_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([FRED.NDRVAC - Value], dtype=object)\n", "Index([OFDP.DMDRN_CRN_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([OFDP.DMDRN_HUF_HILO - Hi-Lo Risk], dtype=object)\n", "Index([FRED.WYWWHO - Value], dtype=object)\n", "Index([FRED.IDWEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_ONXS_TOT_DEBT - Total Debt], dtype=object)\n", "Index([FRED.TXWPRO - Value], dtype=object)\n", "Index([FRED.NMEDUH - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.PAWWHO - Value], dtype=object)\n", "Index([FRED.TNEADM - Value], dtype=object)\n", "Index([FRED.KSWMIN - Value], dtype=object)\n", "Index([FRED.MORGSP - Value], dtype=object)\n", "Index([FRED.WYNA - Value], dtype=object)\n", "Index([FRED.GAWOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_LVDL_ROE - Return on Equity], dtype=object)\n", "Index([FRED.IAWACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBK_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_OCC_P_S - Price to Sales Ratio], dtype=object)\n", "Index([FRED.INHOWN - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_AET_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([FRED.UTEHEA - Value], dtype=object)\n", "Index([FRED.CASRVO - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBIZ_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.TXWDUR - Value], dtype=object)\n", "Index([FRED.HIWNON - Value], dtype=object)\n", "Index([FRED.OREFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_SIMG_MKT_DE - Market Debt to Equity Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.TNWACC - Value], dtype=object)\n", "Index([FRED.SCLEIH - Value], dtype=object)\n", "Index([FRED.NMGOVT - Value], dtype=object)\n", "Index([OFDP.DMDRN_HATH_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([OFDP.DMDRN_CRKT_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([FRED.AZEACC - Value], dtype=object)\n", "Index([FRED.MIEOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_OBSD_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([FRED.CAEINF - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.AZNGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_CEFT_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_MAHNE_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([FRED.NVWTRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_ATEG_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_CBCF_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_ALC_TO_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([FRED.NJWNON - Value], dtype=object)\n", "Index([FRED.MDEINF - Value], dtype=object)\n", "Index([FRED.NEEREA - Value], dtype=object)\n", "Index([FRED.AZWMIN - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MOWMIN - Value], dtype=object)\n", "Index([FRED.MDEUTI - Value], dtype=object)\n", "Index([FRED.SDFIRE - Value], dtype=object)\n", "Index([FRED.TNEHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_PTSI_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([FRED.WVEOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBCS_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_BMS_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([FRED.NVWNON - Value], dtype=object)\n", "Index([FRED.WVNGSP - Value], dtype=object)\n", "Index([FRED.FLLEIH - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.HIWTRA - Value], dtype=object)\n", "Index([FRED.MDSLGRTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_AMED_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([OFDP.DMDRN_CYFC_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_ERS_PAYOUT - Payout Ratio], dtype=object)\n", "Index([FRED.NHECON - Value], dtype=object)\n", "Index([FRED.WYWMIN - Value], dtype=object)\n", "Index([FRED.TNEPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_HSGB_TO_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([FRED.COWPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_MODME_INV_CAP - Invested Capital], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_IGC_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([FRED.IAWREA - Value], dtype=object)\n", "Index([FRED.ILWACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_JAGI_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([OFDP.DMDRN_PCOM_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([OFDP.DMDRN_HUBG_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_PPD_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([FRED.OKEADM - Value], dtype=object)\n", "Index([FRED.CPILFESL - Value], dtype=object)\n", "Index([FRED.UTWNON - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.IDOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MOPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.WVWNON - Value], dtype=object)\n", "Index([FRED.CTEWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_AONEQ_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([FRED.NDWADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBCP_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_KBALB_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([FRED.VTALCLICTAX - Value], dtype=object)\n", "Index([FRED.NVWMAN - Value], dtype=object)\n", "Index([FRED.MAPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.VTWMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_OC_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([OFDP.FUTURE_AD1 - Open, OFDP.FUTURE_AD1 - High, OFDP.FUTURE_AD1 - Low, OFDP.FUTURE_AD1 - Settle, OFDP.FUTURE_AD1 - Volume, OFDP.FUTURE_AD1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_WVCM_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([OFDP.FUTURE_W2 - Open, OFDP.FUTURE_W2 - High, OFDP.FUTURE_W2 - Low, OFDP.FUTURE_W2 - Settle, OFDP.FUTURE_W2 - Volume, OFDP.FUTURE_W2 - Open Interest], dtype=object)\n", "Index([FRED.INGOVT - Value], dtype=object)\n", "Index([OFDP.DMDRN_BEAS_BOOK_DC - Book Debt to Capital Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_PAET_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([FRED.MOWACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_CTCI_NET_INC - Net Income], dtype=object)\n", "Index([OFDP.DMDRN_ESV_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([OFDP.DMDRN_TRFC_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([OFDP.DMDRN_CWDW_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([FRED.MOWEDU - Value], dtype=object)\n", "Index([FRED.IARGSP - Value], dtype=object)\n", "Index([FRED.NHEFOR - Value], dtype=object)\n", "Index([FRED.PALEIH - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBH_EV_SALES - EV To Sales Ratio], dtype=object)\n", "Index([FRED.NMEOTH - Value], dtype=object)\n", "Index([FRED.MIEDUR - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_PANW_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.WYEMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_CASB_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OAKR_P_S - Price to Sales Ratio], dtype=object)\n", "Index([FRED.TNALCLICTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_KNOS_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([OFDP.DMDRN_GARB_DIV - Dividends], dtype=object)\n", "Index([FRED.ALWOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_AMSGA_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.MEEINF - Value], dtype=object)\n", "Index([FRED.VAWART - Value], dtype=object)\n", "Index([FRED.MDEFOR - Value], dtype=object)\n", "Index([FRED.NDEFOR - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_IAIS_NET_INC - Net Income], dtype=object)\n", "Index([FRED.ILWREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBAY_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([OFDP.DMDRN_APOS_PAYOUT - Payout Ratio], dtype=object)\n", "Index([FRED.NEPROPTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUG_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([OFDP.DMDRN_IBNKQ_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([OFDP.DMDRN_RANKY_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([FRED.SDCONS - Value], dtype=object)\n", "Index([FRED.KSBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_GASE_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([OFDP.DMDRN_NUWV_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([FRED.MACONS - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_EXAR_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([FRED.NMWNON - Value], dtype=object)\n", "Index([OFDP.DMDRN_ROP_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([FRED.CUSR0000SEHG - Value], dtype=object)\n", "Index([FRED.VTWREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_BELFA_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([OFDP.DMDRN_CRNM_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([OFDP.DMDRN_MUINQ_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([OFDP.DMDRN_INRG_HILO - Hi-Lo Risk], dtype=object)\n", "Index([OFDP.DMDRN_IBCIQ_FIRM_VAL - Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_OCCF_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.NYWUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_DAVE_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.DMDRN_OCLGE_FLOAT - Number of Shares Outstanding], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.WVCONS - Value], dtype=object)\n", "Index([OFDP.DMDRN_AGY_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([FRED.WIWDUR - Value], dtype=object)\n", "Index([FRED.GARGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_EBTC_CASH - Cash], dtype=object)\n", "Index([FRED.VTNGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_DATA_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([FRED.NEEMIN - Value], dtype=object)\n", "Index([FRED.AKWWHO - Value], dtype=object)\n", "Index([FRED.SCPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MAPBSV - Value], dtype=object)\n", "Index([FRED.ILEUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_PMTI_NET_INC - Net Income], dtype=object)\n", "Index([OFDP.FUTURE_JY1 - Open, OFDP.FUTURE_JY1 - High, OFDP.FUTURE_JY1 - Low, OFDP.FUTURE_JY1 - Settle, OFDP.FUTURE_JY1 - Volume, OFDP.FUTURE_JY1 - Open Interest], dtype=object)\n", "Index([FRED.WAEART - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBCIQ_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.PACORPINCTX - Value], dtype=object)\n", "Index([FRED.MTEINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBALB_PE_FWD - Forward PE Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_OCLS_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.MEINCTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCNB_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([OFDP.DMDRN_ADFS_DEPREC - Depreciation], dtype=object)\n", "Index([FRED.KYWCON - Value], dtype=object)\n", "Index([OFDP.FUTURE_GC1 - Open, OFDP.FUTURE_GC1 - High, OFDP.FUTURE_GC1 - Low, OFDP.FUTURE_GC1 - Settle, OFDP.FUTURE_GC1 - Volume, OFDP.FUTURE_GC1 - Open Interest], dtype=object)\n", "Index([OFDP.FUTURE_GC2 - Open, OFDP.FUTURE_GC2 - High, OFDP.FUTURE_GC2 - Low, OFDP.FUTURE_GC2 - Settle, OFDP.FUTURE_GC2 - Volume, OFDP.FUTURE_GC2 - Open Interest], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_HAVS_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.NECORPINCTX - Value], dtype=object)\n", "Index([OFDP.DMDRN_BDSPY_NET_INC - Net Income], dtype=object)\n", "Index([FRED.WYWPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_UTDL_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([FRED.MTECON - Value], dtype=object)\n", "Index([FRED.NJEACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_DTII_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_KBALB_CASH - Cash], dtype=object)\n", "Index([FRED.MTEFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_PSTF_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([OFDP.DMDRN_HULL_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_ASFE_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.KSWACC - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.IDEFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_ARW_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([FRED.MTHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_OAKR_INV_CAP - Invested Capital], dtype=object)\n", "Index([OFDP.DMDRN_ELTE_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([OFDP.DMDRN_SO_ROE - Return on Equity], dtype=object)\n", "Index([OFDP.DMDRN_KBR_REV_LAST - Revenues], dtype=object)\n", "Index([OFDP.DMDRN_EX_HILO - Hi-Lo Risk], dtype=object)\n", "Index([OFDP.DMDRN_SAI_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_AEL_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([FRED.USHOWN - Value], dtype=object)\n", "Index([FRED.PAECON - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_ASFI_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_SLW_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_DJO_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([OFDP.DMDRN_SNTA_FIRM_VAL - Firm Value], dtype=object)\n", "Index([FRED.SCPROPTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCLS_CASH - Cash], dtype=object)\n", "Index([FRED.TXEFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_HBC_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([OFDP.DMDRN_OGLE_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_PAG_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([FRED.IAECON - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFTC_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([FRED.MAWFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_KINT_NET_MARG - Net Margin], dtype=object)\n", "Index([FRED.NVPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MDEPRO - Value], dtype=object)\n", "Index([FRED.SDGOVT - Value], dtype=object)\n", "Index([OFDP.DMDRN_KMGB_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_ASVP_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_ACTL_P_S - Price to Sales Ratio], dtype=object)\n", "Index([FRED.ALEART - Value], dtype=object)\n", "Index([FRED.NVNGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_ELOYD_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([FRED.NVLEIH - Value], dtype=object)\n", "Index([FRED.MSPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_CWST_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.AZEADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_OSIR_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([FRED.FLECON - Value], dtype=object)\n", "Index([FRED.MTPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MEWART - Value], dtype=object)\n", "Index([FRED.IAWHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_ABZS_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([FRED.MOEHEA - Value], dtype=object)\n", "Index([FRED.CTTOTLTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_OBSD_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([FRED.MDPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_KBKC_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.NHEINF - Value], dtype=object)\n", "Index([FRED.UTPROPTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_OC_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([FRED.UTPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_ASFE_CASH - Cash], dtype=object)\n", "Index([FRED.MTEMAN - Value], dtype=object)\n", "Index([FRED.AZEART - Value], dtype=object)\n", "Index([FRED.WVSLGRTAX - Value], dtype=object)\n", "Index([FRED.TXEMIN - Value], dtype=object)\n", "Index([FRED.UTEFOR - Value], dtype=object)\n", "Index([FRED.MSWEDU - Value], dtype=object)\n", "Index([FRED.AKEINF - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_DAAT_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_ABHH_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([FRED.MOEUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_DSII_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.WVPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_ENSG_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([FRED.KSWPRO - Value], dtype=object)\n", "Index([FRED.NVEFIN - Value], dtype=object)\n", "Index([FRED.WAEWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_LVLT_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([OFDP.DMDRN_NATH_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([FRED.NEEUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCCF_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([FRED.NVRGSP - Value], dtype=object)\n", "Index([FRED.MTWOTH - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.ORWPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_PHIV_EV_SALES - EV To Sales Ratio], dtype=object)\n", "Index([FRED.MOMFG - Value], dtype=object)\n", "Index([OFDP.DMDRN_PXD_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_ASPV_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_FBST_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([FRED.MATOTLTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_RDNT_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([FRED.IAWFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_ASRNF_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([FRED.NVWOTH - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NJEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_HULL_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([FRED.SDSTHPI - Value], dtype=object)\n", "Index([OFDP.DMDRN_SIDGQ_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([OFDP.DMDRN_WOR_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([FRED.FLWTRA - Value], dtype=object)\n", "Index([FRED.MAWREA - Value], dtype=object)\n", "Index([FRED.VAEMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_GXY_P_S - Price to Sales Ratio], dtype=object)\n", "Index([FRED.LATRAD - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.FUTURE_GCM2013 - Open, OFDP.FUTURE_GCM2013 - High, OFDP.FUTURE_GCM2013 - Low, OFDP.FUTURE_GCM2013 - Settle, OFDP.FUTURE_GCM2013 - Volume, OFDP.FUTURE_GCM2013 - Open Interest], dtype=object)\n", "Index([FRED.AZWINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCCM_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([FRED.NJEUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFUE_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([OFDP.DMDRN_EMBT_NET_MARG - Net Margin], dtype=object)\n", "Index([OFDP.DMDRN_BED_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([FRED.OKSLGRTAX - Value], dtype=object)\n", "Index([FRED.WYOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.TXSTHPI - Value], dtype=object)\n", "Index([OFDP.DMDRN_AFBR_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.WVWWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_FBA_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_HUDS_DIV - Dividends], dtype=object)\n", "Index([FRED.NCEFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_SNVT_NET_MARG - Net Margin], dtype=object)\n", "Index([OFDP.DMDRN_IFTH_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OCLR_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([FRED.MNLEIH - Value], dtype=object)\n", "Index([FRED.FLWFOR - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.SDNGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_BCU_ROE - Return on Equity], dtype=object)\n", "Index([OFDP.DMDRN_OCC_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([FRED.NVBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBKC_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_FIWC_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([OFDP.DMDRN_CXR_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([FRED.WVOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_GGNS_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_KBK_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([FRED.MDEHEA - Value], dtype=object)\n", "Index([FRED.NJHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_DBRN_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_SNA_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([OFDP.DMDRN_LXBK_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([FRED.SCWPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_NEBS_CORREL - Correlation with the Market], dtype=object)\n", "Index([FRED.KYWREA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_DIMC_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([FRED.DEWTRA - Value], dtype=object)\n", "Index([FRED.CTEFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_ALLT_BETA_VL - Value Line Beta], dtype=object)\n", "Index([OFDP.DMDRN_MALL_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([OFDP.MOLYBDENUM_56 - Bid, OFDP.MOLYBDENUM_56 - Ask, OFDP.MOLYBDENUM_56 - Mid], dtype=object)\n", "Index([FRED.MEEDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_UCU_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_KOMG_FIRM_VAL - Firm Value], dtype=object)\n", "Index([FRED.AZEFIN - Value], dtype=object)\n", "Index([FRED.MEEDUH - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_GASS_NET_MARG - Net Margin], dtype=object)\n", "Index([FRED.TNWTRA - Value], dtype=object)\n", "Index([FRED.CAEMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_FBHS_HILO - Hi-Lo Risk], dtype=object)\n", "Index([OFDP.DMDRN_AIS_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([OFDP.DMDRN_PACR_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([FRED.MIWUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_DHOM_ROE - Return on Equity], dtype=object)\n", "Index([OFDP.DMDRN_MTZ_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_GBCB_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([OFDP.DMDRN_MDT_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([OFDP.DMDRN_IMDSD_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([FRED.NCEHEA - Value], dtype=object)\n", "Index([FRED.INWTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_HBBI_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([FRED.MDLF - Value], dtype=object)\n", "Index([FRED.MDEART - Value], dtype=object)\n", "Index([FRED.MSEHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_HBDB_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_OCNB_CORREL - Correlation with the Market], dtype=object)\n", "Index([OFDP.DMDRN_OC_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_RTIX_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.NMWWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_PMBC_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_DENT_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([FRED.NHRGSP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_KAZ_FIRM_VAL - Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_DORB_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([OFDP.DMDRN_OCC_FIRM_VAL - Firm Value], dtype=object)\n", "Index([FRED.AKEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_AEIS_NET_INC - Net Income], dtype=object)\n", "Index([OFDP.DMDRN_KBR_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_NAUT_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([OFDP.DMDRN_AOB_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([FRED.MSWTRA - Value], dtype=object)\n", "Index([FRED.NMOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MDEADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_ADVR_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_KBL_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_VBR_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([OFDP.DMDRN_NGTE_CASH - Cash], dtype=object)\n", "Index([FRED.MIINFON - Value], dtype=object)\n", "Index([FRED.LAWCON - Value], dtype=object)\n", "Index([FRED.NHWEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUBG_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.AROTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_MEA_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_NATH_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_AMS_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([FRED.NYEMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCGT_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([FRED.HIWACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_FCBQ_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.NDWFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_RSC_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([FRED.NHEADM - Value], dtype=object)\n", "Index([FRED.NEFIRE - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NDWOTH - Value], dtype=object)\n", "Index([FRED.MNWNON - Value], dtype=object)\n", "Index([OFDP.DMDRN_AOLA_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_BDX_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([FRED.ALTRAD - Value], dtype=object)\n", "Index([FRED.FYFSD - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.WIEACC - Value], dtype=object)\n", "Index([FRED.MTSLGRTAX - Value], dtype=object)\n", "Index([FRED.RIWMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_DBRN_EFF_TAX_INC - Effective Tax Rate on Income], dtype=object)\n", "Index([FRED.WIWREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_OAOT_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.NYEART - Value], dtype=object)\n", "Index([FRED.NVOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_IFF_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_KBALB_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([FRED.SDWFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCLGE_NET_INC - Net Income], dtype=object)\n", "Index([FRED.VTEHEA - Value], dtype=object)\n", "Index([FRED.WYRVAC - Value], dtype=object)\n", "Index([OFDP.DMDRN_BIZ_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([OFDP.DMDRN_A_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_AEY_EV - Enterprise Value], dtype=object)\n", "Index([OFDP.DMDRN_TPGI_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([OFDP.DMDRN_MUINQ_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([OFDP.DMDRN_OCN_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([OFDP.DMDRN_GAHI_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_KCG_ROE - Return on Equity], dtype=object)\n", "Index([OFDP.DMDRN_OPNT_REINV - Reinvestment Amount], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_CERO_EV - Enterprise Value], dtype=object)\n", "Index([FRED.NMWOTH - Value], dtype=object)\n", "Index([FRED.OKWHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_GCI_DIV - Dividends], dtype=object)\n", "Index([FRED.NJNA - Value], dtype=object)\n", "Index([FRED.KSWTOT - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBL_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_NU_P_S - Price to Sales Ratio], dtype=object)\n", "Index([FRED.MEBPPRIVSA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.AKPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NJPROPTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_FESX_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([FRED.MSWMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_FGHC_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_KBR_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([FRED.KYCORPINCTX - Value], dtype=object)\n", "Index([OFDP.DMDRN_EMAG_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([FRED.NDEHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCCF_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([OFDP.DMDRN_DPAT_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([OFDP.DMDRN_HDLM_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([FRED.MATRAD - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_APOG_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.DMDRN_KBALB_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_HNV_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([FRED.CTRVAC - Value], dtype=object)\n", "Index([OFDP.DMDRN_FCBS_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.MALEIH - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBR_NET_INC - Net Income], dtype=object)\n", "Index([FRED.NDPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MEWHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_DLHC_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([OFDP.DMDRN_ONTC_CORREL - Correlation with the Market], dtype=object)\n", "Index([OFDP.DMDRN_SHFK_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([FRED.MTBP1FH - Value], dtype=object)\n", "Index([FRED.DTB3 - Value], dtype=object)\n", "Index([FRED.NVWFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_CPQ_ROE - Return on Equity], dtype=object)\n", "Index([FRED.INBPPRIVSA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NYWMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_GAC_TO_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_OAKR_CORREL - Correlation with the Market], dtype=object)\n", "Index([OFDP.DMDRN_OCCF_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([FRED.KSRVAC - Value], dtype=object)\n", "Index([OFDP.DMDRN_ECL_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_SII_PAYOUT - Payout Ratio], dtype=object)\n", "Index([FRED.PAPROPTAX - Value], dtype=object)\n", "Index([FRED.RINA - Value], dtype=object)\n", "Index([OFDP.DMDRN_NMUS_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_INRG_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.CPIAUCSL - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_SORT_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([OFDP.DMDRN_AQCI_INV_CAP - Invested Capital], dtype=object)\n", "Index([OFDP.DMDRN_MNMM_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([FRED.SCEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_BPSG_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_VIMC_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.AZPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_H_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.COWTOT - Value], dtype=object)\n", "Index([FRED.KSLEIH - Value], dtype=object)\n", "Index([FRED.WYEINF - Value], dtype=object)\n", "Index([FRED.NHWWHO - Value], dtype=object)\n", "Index([FRED.IAEPRO - Value], dtype=object)\n", "Index([FRED.OHEDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUGH_TOT_DEBT - Total Debt], dtype=object)\n", "Index([OFDP.DMDRN_OCN_REINV - Reinvestment Amount], dtype=object)\n", "Index([FRED.NHEHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_WLDAE_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.HIWINF - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MOCONS - Value], dtype=object)\n", "Index([OFDP.DMDRN_OAKR_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_PTTL_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([FRED.UTPBSV - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUDS_NET_MARG - Net Margin], dtype=object)\n", "Index([OFDP.DMDRN_FBN_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([OFDP.DMDRN_LKI_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([OFDP.DMDRN_TOL_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_GBCB_INV_CAP - Invested Capital], dtype=object)\n", "Index([OFDP.FUTURE_JYH2011 - Open, OFDP.FUTURE_JYH2011 - High, OFDP.FUTURE_JYH2011 - Low, OFDP.FUTURE_JYH2011 - Settle, OFDP.FUTURE_JYH2011 - Volume, OFDP.FUTURE_JYH2011 - Open Interest], dtype=object)\n", "Index([FRED.WYSTHPI - Value], dtype=object)\n", "Index([OFDP.DMDRN_PTTL_HILO - Hi-Lo Risk], dtype=object)\n", "Index([FRED.CAPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.IATOTLTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_ANRC_FIRM_VAL - Firm Value], dtype=object)\n", "Index([FRED.MOWFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_CYT_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([FRED.WICORPINCTX - Value], dtype=object)\n", "Index([FRED.NJEOTH - Value], dtype=object)\n", "Index([FRED.LAETRA - Value], dtype=object)\n", "Index([FRED.WYPBSV - Value], dtype=object)\n", "Index([FRED.ORTOTLTAX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_IBAS_FIRM_VAL - Firm Value], dtype=object)\n", "Index([FRED.MSPROPTAX - Value], dtype=object)\n", "Index([FRED.MSEFOR - Value], dtype=object)\n", "Index([FRED.IDRGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCNF_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.MOHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_NAP_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([FRED.SDECON - Value], dtype=object)\n", "Index([OFDP.DMDRN_FBAN_DIV - Dividends], dtype=object)\n", "Index([FRED.TXRGSP - Value], dtype=object)\n", "Index([FRED.PAWPRO - Value], dtype=object)\n", "Index([FRED.NVEWHO - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.UTEADM - Value], dtype=object)\n", "Index([FRED.DEWDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_CRN_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([OFDP.DMDRN_DAN_PE_FWD - Forward PE Ratio], dtype=object)\n", "Index([FRED.AZHOWN - Value], dtype=object)\n", "Index([FRED.SDLEIH - Value], dtype=object)\n", "Index([FRED.NDEINF - Value], dtype=object)\n", "Index([FRED.ILEMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_BDK_TOT_DEBT - Total Debt], dtype=object)\n", "Index([OFDP.DMDRN_HUFCQ_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([OFDP.DMDRN_KCI_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([OFDP.DMDRN_DNR_ROC - Return on Capital], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_LARS_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([OFDP.DMDRN_OCCF_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([OFDP.DMDRN_MAGS_INSIDER - Insider Holdings], dtype=object)\n", "Index([OFDP.DMDRN_KBKC_BETA_VL - Value Line Beta], dtype=object)\n", "Index([OFDP.DMDRN_PTI_TO_REV_LAST - Revenues], dtype=object)\n", "Index([FRED.NEBPPRIVSA - Value], dtype=object)\n", "Index([FRED.DEEDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_NASC_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_JMAR_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([FRED.ORBP1FH - Value], dtype=object)\n", "Index([FRED.NCWMAN - Value], dtype=object)\n", "Index([FRED.WYSLGRTAX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_LUX_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([OFDP.DMDRN_ARCT_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([OFDP.DMDRN_POWR_NET_MARG - Net Margin], dtype=object)\n", "Index([OFDP.DMDRN_MTYG_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([OFDP.DMDRN_OCN_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([FRED.DEEDUH - Value], dtype=object)\n", "Index([OFDP.DMDRN_FCAP_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([FRED.TNPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_MHC_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_SMTB_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_GBTVK_CASH - Cash], dtype=object)\n", "Index([FRED.MTEADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_WEB_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_HUFCQ_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_FBC_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([FRED.TNWNON - Value], dtype=object)\n", "Index([OFDP.DMDRN_INRG_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([FRED.MOINCTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_NWLIA_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([FRED.AZEINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_ISR_REV_TRAIL - Trailing Revenues], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.AZWPRO - Value], dtype=object)\n", "Index([FRED.AKEPRO - Value], dtype=object)\n", "Index([FRED.AZETRA - Value], dtype=object)\n", "Index([FRED.ORBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_OBSD_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([FRED.CTCORPINCTX - Value], dtype=object)\n", "Index([FRED.PANGSP - Value], dtype=object)\n", "Index([OFDP.FUTURE_OJ1 - Open, OFDP.FUTURE_OJ1 - High, OFDP.FUTURE_OJ1 - Low, OFDP.FUTURE_OJ1 - Settle, OFDP.FUTURE_OJ1 - Volume, OFDP.FUTURE_OJ1 - Open Interest], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.GAEHEA - Value], dtype=object)\n", "Index([FRED.AZWHEA - Value], dtype=object)\n", "Index([FRED.COWADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_CTDB_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_RTK_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OC_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([OFDP.FUTURE_RB1 - Open, OFDP.FUTURE_RB1 - High, OFDP.FUTURE_RB1 - Low, OFDP.FUTURE_RB1 - Settle, OFDP.FUTURE_RB1 - Volume, OFDP.FUTURE_RB1 - Open Interest], dtype=object)\n", "Index([FRED.MEPBSV - Value], dtype=object)\n", "Index([OFDP.DMDRN_MUI_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([FRED.OHPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_AEIS_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([FRED.MARVAC - Value], dtype=object)\n", "Index([OFDP.DMDRN_MNY_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([FRED.HIWHEA - Value], dtype=object)\n", "Index([FRED.IDCONS - Value], dtype=object)\n", "Index([OFDP.DMDRN_USBU_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([OFDP.DMDRN_NYTE_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.LAEWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_FULT_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([FRED.SCSLGRTAX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NHINCTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_NWA_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([FRED.SDHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_BCO_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.TNWCON - Value], dtype=object)\n", "Index([OFDP.DMDRN_MTXX_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([FRED.NJBP1FH - Value], dtype=object)\n", "Index([OFDP.DMDRN_GOSHA_FIRM_VAL - Firm Value], dtype=object)\n", "Index([FRED.WAWPRO - Value], dtype=object)\n", "Index([FRED.ILCORPINCTX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MTWACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCEX_DIV - Dividends], dtype=object)\n", "Index([FRED.WVALCLICTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBAY_PE_FWD - Forward PE Ratio], dtype=object)\n", "Index([FRED.RIHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_BLUSF_NET_INC - Net Income], dtype=object)\n", "Index([FRED.MDWFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_ELTE_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([FRED.CTSTHPI - Value], dtype=object)\n", "Index([OFDP.DMDRN_BJ_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([FRED.RIEREA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.FUTURE_SH1994 - Open, OFDP.FUTURE_SH1994 - High, OFDP.FUTURE_SH1994 - Low, OFDP.FUTURE_SH1994 - Settle, OFDP.FUTURE_SH1994 - Volume, OFDP.FUTURE_SH1994 - Open Interest], dtype=object)\n", "Index([FRED.MIGOVT - Value], dtype=object)\n", "Index([FRED.MSLEIH - Value], dtype=object)\n", "Index([FRED.MNPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.TXPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.HIEDUR - Value], dtype=object)\n", "Index([FRED.COWOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_CRMT_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.MSWART - Value], dtype=object)\n", "Index([FRED.NCEART - Value], dtype=object)\n", "Index([OFDP.DMDRN_SNWL_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([FRED.WAPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.WVWDUR - Value], dtype=object)\n", "Index([FRED.PARGSP - Value], dtype=object)\n", "Index([FRED.CORVAC - Value], dtype=object)\n", "Index([FRED.MDBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_NXWXQ_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([FRED.HIEDUH - Value], dtype=object)\n", "Index([FRED.SCINCTAX - Value], dtype=object)\n", "Index([FRED.CARVAC - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFTC_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([OFDP.DMDRN_FBHS_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([FRED.TXWCON - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFST_FIRM_VAL - Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_VIAN_NET_MARG - Net Margin], dtype=object)\n", "Index([OFDP.DMDRN_HAUP_PE_TRAIL - Trailing PE Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_CHRS_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([OFDP.DMDRN_FBLQ_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([OFDP.DMDRN_XOXOQ_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OC_REV_GRO_EXP - Expected Growth in Revenues], dtype=object)\n", "Index([OFDP.DMDRN_MAGS_NET_MARG - Net Margin], dtype=object)\n", "Index([FRED.NEECON - Value], dtype=object)\n", "Index([OFDP.GOLD_2 - USD, OFDP.GOLD_2 - GBP, OFDP.GOLD_2 - EUR], dtype=object)\n", "Index([FRED.AKEDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBKR_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([FRED.ALWTRA - Value], dtype=object)\n", "Index([FRED.ALENON - Value], dtype=object)\n", "Index([OFDP.DMDRN_PANC_TOT_DEBT - Total Debt], dtype=object)\n", "Index([FRED.NCWHEA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.ASPTFVAG - Value], dtype=object)\n", "Index([FRED.OKWEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_CBE_TO_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_OCNB_DEPREC - Depreciation], dtype=object)\n", "Index([FRED.TXEWHO - Value], dtype=object)\n", "Index([FRED.CAWDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_FCAL_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_GB_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.AZBPPRIVSA - Value], dtype=object)\n", "Index([FRED.VAPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NDEFIN - Value], dtype=object)\n", "Index([FRED.LAPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.CAWTRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_OAKT_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.FUTURE_DX1 - Open, OFDP.FUTURE_DX1 - High, OFDP.FUTURE_DX1 - Low, OFDP.FUTURE_DX1 - Settle, OFDP.FUTURE_DX1 - Volume, OFDP.FUTURE_DX1 - Open Interest], dtype=object)\n", "Index([FRED.KSMFG - Value], dtype=object)\n", "Index([FRED.UTNGSP - Value], dtype=object)\n", "Index([FRED.MEWFOR - Value], dtype=object)\n", "Index([FRED.LAEFIN - Value], dtype=object)\n", "Index([FRED.AZCONS - Value], dtype=object)\n", "Index([FRED.HIWFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_CRNM_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_FBHS_REINV - Reinvestment Amount], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.DEBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_EXAP_NET_INC - Net Income], dtype=object)\n", "Index([FRED.SCNGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCAI_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_KBAY_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_ELUT_TOT_DEBT - Total Debt], dtype=object)\n", "Index([FRED.WAWNON - Value], dtype=object)\n", "Index([FRED.ILOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.HIEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_SWYC_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([FRED.COEFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUMP_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([OFDP.DMDRN_FBLQ_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_LAS_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_FTRM_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_AFFX_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_AEIS_TOT_DEBT - Total Debt], dtype=object)\n", "Index([OFDP.DMDRN_MULM_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_FBHS_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([OFDP.DMDRN_USB_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([FRED.NMWDUR - Value], dtype=object)\n", "Index([FRED.NCTOTLTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFX_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([FRED.COWART - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFUE_NET_INC_TRAIL - Trailing Net Income], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_AOLA_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([OFDP.DMDRN_OMED_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([FRED.SCWWHO - Value], dtype=object)\n", "Index([OFDP.LEAD_31 - Bid, OFDP.LEAD_31 - Ask, OFDP.LEAD_31 - Mid], dtype=object)\n", "Index([OFDP.DMDRN_OCC_REV_LAST - Revenues], dtype=object)\n", "Index([FRED.AZWFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_ALCI_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.NHCORPINCTX - Value], dtype=object)\n", "Index([FRED.AZMFG - Value], dtype=object)\n", "Index([OFDP.DMDRN_ORS_CORREL - Correlation with the Market], dtype=object)\n", "Index([FRED.AKNA - Value], dtype=object)\n", "Index([OFDP.DMDRN_FCCN_NET_MARG - Net Margin], dtype=object)\n", "Index([FRED.NCOTOT - Value], dtype=object)\n", "Index([OFDP.FUTURE_HO1 - Open, OFDP.FUTURE_HO1 - High, OFDP.FUTURE_HO1 - Low, OFDP.FUTURE_HO1 - Settle, OFDP.FUTURE_HO1 - Volume, OFDP.FUTURE_HO1 - Open Interest], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.TXEPRO - Value], dtype=object)\n", "Index([FRED.NEEWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_BLL_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_GIVN_CASH - Cash], dtype=object)\n", "Index([FRED.INWUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_NVDA_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([FRED.ILWMAN - Value], dtype=object)\n", "Index([FRED.NJWOTH - Value], dtype=object)\n", "Index([OFDP.FUTURE_SK2011 - Open, OFDP.FUTURE_SK2011 - High, OFDP.FUTURE_SK2011 - Low, OFDP.FUTURE_SK2011 - Settle, OFDP.FUTURE_SK2011 - Volume, OFDP.FUTURE_SK2011 - Open Interest], dtype=object)\n", "Index([FRED.CAWMAN - Value], dtype=object)\n", "Index([FRED.LASLGRTAX - Value], dtype=object)\n", "Index([FRED.MOEDUR - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NDWUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCLG_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([OFDP.DMDRN_SIR_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([FRED.MOEDUH - Value], dtype=object)\n", "Index([FRED.COCORPINCTX - Value], dtype=object)\n", "Index([FRED.ILWINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFST_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([FRED.OHWTRA - Value], dtype=object)\n", "Index([FRED.WIWTRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_CBSA_HILO - Hi-Lo Risk], dtype=object)\n", "Index([OFDP.DMDRN_WOC_PAYOUT - Payout Ratio], dtype=object)\n", "Index([OFDP.DMDRN_CVM_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OC_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([FRED.KYPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_MHX_PE_FWD - Forward PE Ratio], dtype=object)\n", "Index([FRED.NCWEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_MAHN_EV - Enterprise Value], dtype=object)\n", "Index([FRED.OHEEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_XNR_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([OFDP.DMDRN_FISV_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([FRED.AKOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MTINFON - Value], dtype=object)\n", "Index([OFDP.DMDRN_SMCX_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([FRED.MIWART - Value], dtype=object)\n", "Index([FRED.MTEFOR - Value], dtype=object)\n", "Index([FRED.TXEFOR - Value], dtype=object)\n", "Index([FRED.CAECON - Value], dtype=object)\n", "Index([FRED.COWUTI - Value], dtype=object)\n", "Index([FRED.NERVAC - Value], dtype=object)\n", "Index([OFDP.DMDRN_HALL_ROE - Return on Equity], dtype=object)\n", "Index([OFDP.DMDRN_XBOR_P_S - Price to Sales Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NMWMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUFCQ_REINV - Reinvestment Amount], dtype=object)\n", "Index([FRED.MNPROPTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_BPAX_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_GSWA_TO_INV_CAP - Invested Capital], dtype=object)\n", "Index([FRED.WIEHEA - Value], dtype=object)\n", "Index([FRED.CAWOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_SVUL_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_LATD_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([OFDP.DMDRN_KBALB_EPS_GRO - Growth in Earnings Per Share], dtype=object)\n", "Index([OFDP.DMDRN_NWAC_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_SOLR_EV_SALES - EV To Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_MBRG_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.MOWINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_SSFC_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_CSG_EPS_GRO_EXP - Expected Growth in Earnings Per Share], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_OCAS_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([FRED.WVLEIH - Value], dtype=object)\n", "Index([OFDP.DMDRN_OSHC_EV - Enterprise Value], dtype=object)\n", "Index([FRED.MARGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_FBSI_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([FRED.CTENON - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUGH_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.USARGDPH - Value], dtype=object)\n", "Index([FRED.TNWUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_NTXY_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_DV_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OTWO_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([FRED.NVALCLICTAX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.CTPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_VGR_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([FRED.MTWART - Value], dtype=object)\n", "Index([FRED.NCSLGRTAX - Value], dtype=object)\n", "Index([FRED.CAFIRE - Value], dtype=object)\n", "Index([OFDP.DMDRN_MAGS_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OC_REV_LAST - Revenues], dtype=object)\n", "Index([FRED.IAWMAN - Value], dtype=object)\n", "Index([FRED.NEWMAN - Value], dtype=object)\n", "Index([FRED.NCNA - Value], dtype=object)\n", "Index([FRED.COUR - Value], dtype=object)\n", "Index([FRED.MNEWHO - Value], dtype=object)\n", "Index([FRED.OHEFOR - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.LAEACC - Value], dtype=object)\n", "Index([FRED.ARUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBKC_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.KYPROPTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_NSO_DEPREC - Depreciation], dtype=object)\n", "Index([FRED.WYWFOR - Value], dtype=object)\n", "Index([FRED.VTCONS - Value], dtype=object)\n", "Index([FRED.NYBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_OTGS_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_KBALB_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([OFDP.DMDRN_FTLK_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([OFDP.DMDRN_EFC_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([OFDP.DMDRN_LVDL_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_LAYN_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NCEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_SVR_INV_CAP - Invested Capital], dtype=object)\n", "Index([FRED.TXMFG - Value], dtype=object)\n", "Index([FRED.NVEFOR - Value], dtype=object)\n", "Index([FRED.COEINF - Value], dtype=object)\n", "Index([FRED.MSEINF - Value], dtype=object)\n", "Index([FRED.ARWMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_PICO_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([FRED.IDWHEA - Value], dtype=object)\n", "Index([FRED.GAWADM - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_IAL_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([FRED.NJBPPRIVSA - Value], dtype=object)\n", "Index([FRED.DEEEDU - Value], dtype=object)\n", "Index([FRED.INCONS - Value], dtype=object)\n", "Index([FRED.VARGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_NWFL_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([FRED.HOUST - Value], dtype=object)\n", "Index([FRED.VAEADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFTH_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([OFDP.DMDRN_HAXS_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([FRED.NHWADM - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.SCWHEA - Value], dtype=object)\n", "Index([FRED.NYOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_SAIA_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_IFUE_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([FRED.NMLEIH - Value], dtype=object)\n", "Index([FRED.ALINCTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_PALC_DEPREC - Depreciation], dtype=object)\n", "Index([FRED.CUSR0000SAS367 - Value], dtype=object)\n", "Index([FRED.MNINFON - Value], dtype=object)\n", "Index([OFDP.DMDRN_FBA_HILO - Hi-Lo Risk], dtype=object)\n", "Index([OFDP.DMDRN_ROCK_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_GATT_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.OKPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_IFUL_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([FRED.M04111GBM318NNBR - Value], dtype=object)\n", "Index([FRED.MEEOTH - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.VAEWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCCF_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([FRED.SCSRVO - Value], dtype=object)\n", "Index([FRED.MOEEDU - Value], dtype=object)\n", "Index([FRED.MNEOTH - Value], dtype=object)\n", "Index([FRED.MEWINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_CRMZ_ROE - Return on Equity], dtype=object)\n", "Index([OFDP.DMDRN_TOF_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_IBI_EPS_GRO - Growth in Earnings Per Share], dtype=object)\n", "Index([FRED.TNNA - Value], dtype=object)\n", "Index([FRED.MTEDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_MTXC_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.MIECON - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBALB_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([OFDP.DMDRN_TWIN_NET_MARG - Net Margin], dtype=object)\n", "Index([OFDP.DMDRN_MTZ_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_MIICF_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_VSNT_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([OFDP.DMDRN_KBL_PAYOUT - Payout Ratio], dtype=object)\n", "Index([FRED.NYENON - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBFP_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([OFDP.DMDRN_KBALB_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([OFDP.DMDRN_CRNT_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([OFDP.DMDRN_JCTCF_EPS_GRO - Growth in Earnings Per Share], dtype=object)\n", "Index([OFDP.DMDRN_TM_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([OFDP.DMDRN_NXTL_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_MSHL_HILO - Hi-Lo Risk], dtype=object)\n", "Index([OFDP.DMDRN_FUN_EPS_GRO_EXP - Expected Growth in Earnings Per Share], dtype=object)\n", "Index([FRED.RIWFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_MRK_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([FRED.WAWDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCC_NET_MARG - Net Margin], dtype=object)\n", "Index([FRED.MSWACC - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_NEU_PAYOUT - Payout Ratio], dtype=object)\n", "Index([FRED.MAEWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBK_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([OFDP.DMDRN_MTZ_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([FRED.OKRVAC - Value], dtype=object)\n", "Index([OFDP.DMDRN_ORNI_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.MAECON - Value], dtype=object)\n", "Index([OFDP.DMDRN_BLVT_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.ILWADM - Value], dtype=object)\n", "Index([FRED.CUSR0000SEEE01 - Value], dtype=object)\n", "Index([OFDP.DMDRN_WD_PAYOUT - Payout Ratio], dtype=object)\n", "Index([FRED.SCWACC - Value], dtype=object)\n", "Index([FRED.NERGSP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_HDWR_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([FRED.NDWCON - Value], dtype=object)\n", "Index([FRED.KYLF - Value], dtype=object)\n", "Index([OFDP.DMDRN_EXAS_EPS_GRO_EXP - Expected Growth in Earnings Per Share], dtype=object)\n", "Index([OFDP.FUTURE_US1 - Open, OFDP.FUTURE_US1 - High, OFDP.FUTURE_US1 - Low, OFDP.FUTURE_US1 - Settle, OFDP.FUTURE_US1 - Volume, OFDP.FUTURE_US1 - Open Interest], dtype=object)\n", "Index([FRED.MDNA - Value], dtype=object)\n", "Index([OFDP.DMDRN_NWLIA_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([FRED.MANGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_GACFQ_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([FRED.WINA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_AMBA_NET_MARG - Net Margin], dtype=object)\n", "Index([OFDP.DMDRN_PTSX_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([FRED.CAEFIN - Value], dtype=object)\n", "Index([FRED.VAWACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_TOBC_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([FRED.FLPBSV - Value], dtype=object)\n", "Index([FRED.COEADM - Value], dtype=object)\n", "Index([FRED.TNEFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_ADAP_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([OFDP.DMDRN_ELTE_HILO - Hi-Lo Risk], dtype=object)\n", "Index([OFDP.DMDRN_MAGS_EFF_TAX_INC - Effective Tax Rate on Income], dtype=object)\n", "Index([OFDP.DMDRN_NKO_TO_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_EW_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([OFDP.DMDRN_CAFI_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([FRED.COEART - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.HIEPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_LVEL_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_HU_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([FRED.OHTOTLTAX - Value], dtype=object)\n", "Index([FRED.RISRVO - Value], dtype=object)\n", "Index([FRED.NHPROPTAX - Value], dtype=object)\n", "Index([FRED.WYWART - Value], dtype=object)\n", "Index([OFDP.DMDRN_SAMB_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_MTY_BETA_VL - Value Line Beta], dtype=object)\n", "Index([FRED.OHNRMN - Value], dtype=object)\n", "Index([OFDP.DMDRN_MTYG_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([FRED.TXINFON - Value], dtype=object)\n", "Index([FRED.COWACC - Value], dtype=object)\n", "Index([FRED.LNU04049526 - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_NATWQ_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([FRED.INWMIN - Value], dtype=object)\n", "Index([FRED.ALEWHO - Value], dtype=object)\n", "Index([FRED.MDWOTH - Value], dtype=object)\n", "Index([FRED.UNRATE - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.TXWTOT - Value], dtype=object)\n", "Index([OFDP.DMDRN_CYXG_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([FRED.ALCORPINCTX - Value], dtype=object)\n", "Index([FRED.AZGOVT - Value], dtype=object)\n", "Index([FRED.MIWFOR - Value], dtype=object)\n", "Index([FRED.NYSLGRTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCCM_EV - Enterprise Value], dtype=object)\n", "Index([OFDP.DMDRN_LVLT_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([OFDP.DMDRN_IFTA_INSIDER - Insider Holdings], dtype=object)\n", "Index([OFDP.DMDRN_SLIXQ_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.CTNA - Value], dtype=object)\n", "Index([OFDP.DMDRN_HAVSY_BETA_VL - Value Line Beta], dtype=object)\n", "Index([FRED.OKEPRO - Value], dtype=object)\n", "Index([FRED.INEART - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_MIK_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([OFDP.DMDRN_NXTYQ_ROC - Return on Capital], dtype=object)\n", "Index([FRED.NDENON - Value], dtype=object)\n", "Index([OFDP.DMDRN_INTU_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([FRED.NCFIRE - Value], dtype=object)\n", "Index([FRED.COEHEA - Value], dtype=object)\n", "Index([FRED.AKINFON - Value], dtype=object)\n", "Index([OFDP.DMDRN_EXSR_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_PTSI_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_LARL_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([FRED.KSCORPINCTX - Value], dtype=object)\n", "Index([OFDP.DMDRN_DHB_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([FRED.ARFIRE - Value], dtype=object)\n", "Index([FRED.WAEINF - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NJRVAC - Value], dtype=object)\n", "Index([OFDP.DMDRN_PTSI_EV - Enterprise Value], dtype=object)\n", "Index([OFDP.DMDRN_OCLS_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.ILWFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_FFCO_PAYOUT - Payout Ratio], dtype=object)\n", "Index([FRED.GAINCTAX - Value], dtype=object)\n", "Index([FRED.ALWWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_MAGS_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([FRED.MOWHEA - Value], dtype=object)\n", "Index([FRED.COEPRO - Value], dtype=object)\n", "Index([FRED.VTWHEA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.FUTURE_SM1 - Open, OFDP.FUTURE_SM1 - High, OFDP.FUTURE_SM1 - Low, OFDP.FUTURE_SM1 - Settle, OFDP.FUTURE_SM1 - Volume, OFDP.FUTURE_SM1 - Open Interest], dtype=object)\n", "Index([OFDP.COBALT_51 - Bid, OFDP.COBALT_51 - Ask, OFDP.COBALT_51 - Mid], dtype=object)\n", "Index([OFDP.DMDRN_HAYN_NET_MARG - Net Margin], dtype=object)\n", "Index([FRED.NVEMIN - Value], dtype=object)\n", "Index([FRED.INWFIN - Value], dtype=object)\n", "Index([FRED.AKFIRE - Value], dtype=object)\n", "Index([OFDP.DMDRN_FFHL_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_IFSIA_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([FRED.UTWMIN - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.BOPXGS - Value], dtype=object)\n", "Index([OFDP.DMDRN_SHOC_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_FB_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([FRED.MOWADM - Value], dtype=object)\n", "Index([FRED.MIEFIN - Value], dtype=object)\n", "Index([FRED.NEWDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_EBNX_INV_CAP - Invested Capital], dtype=object)\n", "Index([OFDP.FUTURE_MK2011 - Open, OFDP.FUTURE_MK2011 - High, OFDP.FUTURE_MK2011 - Low, OFDP.FUTURE_MK2011 - Settle, OFDP.FUTURE_MK2011 - Volume, OFDP.FUTURE_MK2011 - Open Interest], dtype=object)\n", "Index([FRED.VTETRA - Value], dtype=object)\n", "Index([FRED.RINGSP - Value], dtype=object)\n", "Index([FRED.IDALCLICTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_JNY_DEPREC - Depreciation], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_NOA_CASH - Cash], dtype=object)\n", "Index([OFDP.FUTURE_SK2002 - Open, OFDP.FUTURE_SK2002 - High, OFDP.FUTURE_SK2002 - Low, OFDP.FUTURE_SK2002 - Settle, OFDP.FUTURE_SK2002 - Volume, OFDP.FUTURE_SK2002 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_CAL_TO_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([OFDP.DMDRN_SAIA_CORREL - Correlation with the Market], dtype=object)\n", "Index([OFDP.DMDRN_ACET_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.OKALCLICTAX - Value], dtype=object)\n", "Index([FRED.WAECON - Value], dtype=object)\n", "Index([OFDP.DMDRN_ASFE_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.GAEFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_AG_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([FRED.NHWHEA - Value], dtype=object)\n", "Index([FRED.NVEREA - Value], dtype=object)\n", "Index([FRED.WVETRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_SNVT_FIRM_VAL - Firm Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_ENSGE_NET_INC - Net Income], dtype=object)\n", "Index([OFDP.DMDRN_FEIC_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([FRED.LAEADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_BEAS_BETA_VL - Value Line Beta], dtype=object)\n", "Index([OFDP.DMDRN_MTXX_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.DMDRN_KBALB_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([OFDP.DMDRN_SFY_BETA_VL - Value Line Beta], dtype=object)\n", "Index([FRED.KSEDUH - Value], dtype=object)\n", "Index([FRED.LAHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_GNW_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_DMX_FIRM_VAL - Firm Value], dtype=object)\n", "Index([FRED.GASLGRTAX - Value], dtype=object)\n", "Index([FRED.MEWMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFSG_EBIT - Earnings Before Interest and Taxes], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_PEDE_INV_CAP - Invested Capital], dtype=object)\n", "Index([OFDP.DMDRN_OCLR_EFF_TAX_INC - Effective Tax Rate on Income], dtype=object)\n", "Index([FRED.MNRGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_UIC_PE_FWD - Forward PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_GASS_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([FRED.ORWNON - Value], dtype=object)\n", "Index([FRED.IAOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_NYT_PAYOUT - Payout Ratio], dtype=object)\n", "Index([OFDP.DMDRN_ETVL_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([FRED.WIWADM - Value], dtype=object)\n", "Index([FRED.NHWINF - Value], dtype=object)\n", "Index([FRED.MNCORPINCTX - Value], dtype=object)\n", "Index([FRED.NESRVO - Value], dtype=object)\n", "Index([FRED.NCCONS - Value], dtype=object)\n", "Index([FRED.HIEINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_NATL_ROC - Return on Capital], dtype=object)\n", "Index([OFDP.DMDRN_OCLGE_ROC - Return on Capital], dtype=object)\n", "Index([OFDP.DMDRN_STRM_HILO - Hi-Lo Risk], dtype=object)\n", "Index([FRED.WYWINF - Value], dtype=object)\n", "Index([FRED.CTEOTH - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_NITE_ROE - Return on Equity], dtype=object)\n", "Index([FRED.MOWPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_SNUS_HILO - Hi-Lo Risk], dtype=object)\n", "Index([FRED.NYTRAD - Value], dtype=object)\n", "Index([OFDP.DMDRN_CAMD_EPS_FWD - Forward Earnings Per Share], dtype=object)\n", "Index([FRED.OHWHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_DVW_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([OFDP.DMDRN_FLEX_EFF_TAX_INC - Effective Tax Rate on Income], dtype=object)\n", "Index([OFDP.DMDRN_ANLT_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([OFDP.DMDRN_AFFX_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([FRED.NJALCLICTAX - Value], dtype=object)\n", "Index([FRED.AZCORPINCTX - Value], dtype=object)\n", "Index([OFDP.DMDRN_AMIN_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([OFDP.DMDRN_LACI_EV_SALES - EV To Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_CRMZ_CAPEX - Capital Expenditures], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MIWCON - Value], dtype=object)\n", "Index([FRED.WYWREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_GFN_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.VANRMN - Value], dtype=object)\n", "Index([FRED.PCEDG - Value], dtype=object)\n", "Index([FRED.TXEINF - Value], dtype=object)\n", "Index([FRED.WYEADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_EAGB_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.NMTOTLTAX - Value], dtype=object)\n", "Index([FRED.UTWFOR - Value], dtype=object)\n", "Index([FRED.CTEDUH - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.CAMFG - Value], dtype=object)\n", "Index([OFDP.DMDRN_SBX_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.INWART - Value], dtype=object)\n", "Index([OFDP.DMDRN_ACOC_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([OFDP.DMDRN_OCC_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([OFDP.DMDRN_IBCP_ROE - Return on Equity], dtype=object)\n", "Index([OFDP.DMDRN_OTTR_HILO - Hi-Lo Risk], dtype=object)\n", "Index([OFDP.DMDRN_NWIN_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([FRED.WVWACC - Value], dtype=object)\n", "Index([FRED.AKENON - Value], dtype=object)\n", "Index([FRED.PAWNON - Value], dtype=object)\n", "Index([FRED.ILEADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_GSPG_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([FRED.ALWCON - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_BMBN_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.SDEMIN - Value], dtype=object)\n", "Index([FRED.OHEWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_OI_DIV - Dividends], dtype=object)\n", "Index([FRED.NJPBSV - Value], dtype=object)\n", "Index([FRED.DGORDER - Value], dtype=object)\n", "Index([FRED.IAHOWN - Value], dtype=object)\n", "Index([FRED.DEEINF - Value], dtype=object)\n", "Index([FRED.RIPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_FZN_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_ALOG_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([OFDP.DMDRN_PGNT_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([OFDP.DMDRN_ASGXF_CASH - Cash], dtype=object)\n", "Index([FRED.WVWFIN - Value], dtype=object)\n", "Index([FRED.NHWREA - Value], dtype=object)\n", "Index([FRED.WYWACC - Value], dtype=object)\n", "Index([FRED.GAWUTI - Value], dtype=object)\n", "Index([FRED.LAENON - Value], dtype=object)\n", "Index([FRED.VTNA - Value], dtype=object)\n", "Index([OFDP.DMDRN_RAMV_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([OFDP.DMDRN_CVG_P_S - Price to Sales Ratio], dtype=object)\n", "Index([FRED.VTPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.LAWINF - Value], dtype=object)\n", "Index([FRED.ORNRMN - Value], dtype=object)\n", "Index([OFDP.DMDRN_WARR_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([FRED.WVEWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_OBCI_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.ALNGSP - Value], dtype=object)\n", "Index([FRED.NEWACC - Value], dtype=object)\n", "Index([OFDP.FUTURE_TV2011 - Open, OFDP.FUTURE_TV2011 - High, OFDP.FUTURE_TV2011 - Low, OFDP.FUTURE_TV2011 - Settle, OFDP.FUTURE_TV2011 - Volume, OFDP.FUTURE_TV2011 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_ARRS_P_S - Price to Sales Ratio], dtype=object)\n", "Index([FRED.LAGOVT - Value], dtype=object)\n", "Index([OFDP.DMDRN_JOES_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([FRED.WVEUTI - Value], dtype=object)\n", "Index([FRED.WYEWHO - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_EXAM_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.MNEDUH - Value], dtype=object)\n", "Index([OFDP.DMDRN_SII_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_XRA_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([FRED.ILECON - Value], dtype=object)\n", "Index([FRED.MNEDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_TDC_EV - Enterprise Value], dtype=object)\n", "Index([OFDP.FUTURE_FF1 - Open, OFDP.FUTURE_FF1 - High, OFDP.FUTURE_FF1 - Low, OFDP.FUTURE_FF1 - Settle, OFDP.FUTURE_FF1 - Volume, OFDP.FUTURE_FF1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_OC_FIRM_VAL - Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_CTE_EPS_FWD - Forward Earnings Per Share], dtype=object)\n", "Index([FRED.OHNGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_FMNL_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([FRED.NCWOTH - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_IFTH_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([FRED.MOEOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_BD_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_MYOG_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([FRED.NMWACC - Value], dtype=object)\n", "Index([OFDP.COPPER_6 - Bid, OFDP.COPPER_6 - Ask, OFDP.COPPER_6 - Mid], dtype=object)\n", "Index([FRED.NCGOVT - Value], dtype=object)\n", "Index([FRED.WAWOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_SSYS_P_S - Price to Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_MCBI_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_KBFP_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([OFDP.DMDRN_VISI_FIRM_VAL - Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_AXL_TO_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([OFDP.DMDRN_AETC_INV_CAP - Invested Capital], dtype=object)\n", "Index([OFDP.DMDRN_KBH_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([OFDP.DMDRN_HUBG_REV_LAST - Revenues], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_FORR_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.UTWWHO - Value], dtype=object)\n", "Index([FRED.MDEACC - Value], dtype=object)\n", "Index([FRED.NDALCLICTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_NUV_TOT_DEBT - Total Debt], dtype=object)\n", "Index([FRED.NMWFIN - Value], dtype=object)\n", "Index([OFDP.FUTURE_CT1 - Open, OFDP.FUTURE_CT1 - High, OFDP.FUTURE_CT1 - Low, OFDP.FUTURE_CT1 - Settle, OFDP.FUTURE_CT1 - Volume, OFDP.FUTURE_CT1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_GKIG_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([OFDP.DMDRN_EPHC_NET_INC - Net Income], dtype=object)\n", "Index([FRED.KSEINF - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.DEEFOR - Value], dtype=object)\n", "Index([FRED.PAWFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_HTM_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_PYTO_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.FUTURE_M1 - Open, OFDP.FUTURE_M1 - High, OFDP.FUTURE_M1 - Low, OFDP.FUTURE_M1 - Settle, OFDP.FUTURE_M1 - Volume, OFDP.FUTURE_M1 - Open Interest], dtype=object)\n", "Index([FRED.OHOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.DEEPRO - Value], dtype=object)\n", "Index([FRED.IAEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_ALRN_TOT_DEBT - Total Debt], dtype=object)\n", "Index([FRED.NHWACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_LUV_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([FRED.MSEMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_TECD_PAYOUT - Payout Ratio], dtype=object)\n", "Index([OFDP.DMDRN_JMAR_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.CAWNON - Value], dtype=object)\n", "Index([FRED.NMEUTI - Value], dtype=object)\n", "Index([FRED.MIINCTAX - Value], dtype=object)\n", "Index([FRED.MDEOTH - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_TWI_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([OFDP.FUTURE_MM2012 - Open, OFDP.FUTURE_MM2012 - High, OFDP.FUTURE_MM2012 - Low, OFDP.FUTURE_MM2012 - Settle, OFDP.FUTURE_MM2012 - Volume, OFDP.FUTURE_MM2012 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_EWST_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([FRED.MNEMAN - Value], dtype=object)\n", "Index([FRED.MIBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_AUOM_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([FRED.IAWINF - Value], dtype=object)\n", "Index([FRED.SDPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NDLEIH - Value], dtype=object)\n", "Index([FRED.ALEPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_ARTW_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.SDWCON - Value], dtype=object)\n", "Index([OFDP.DMDRN_MUIN_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([OFDP.FUTURE_RR1 - Open, OFDP.FUTURE_RR1 - High, OFDP.FUTURE_RR1 - Low, OFDP.FUTURE_RR1 - Settle, OFDP.FUTURE_RR1 - Volume, OFDP.FUTURE_RR1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_HAWK_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([OFDP.DMDRN_ANTC_PAYOUT - Payout Ratio], dtype=object)\n", "Index([OFDP.DMDRN_LAWEQ_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([FRED.MDTRAD - Value], dtype=object)\n", "Index([OFDP.DMDRN_BPHX_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_SOMC_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([FRED.WIEART - Value], dtype=object)\n", "Index([OFDP.DMDRN_GBBK_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([FRED.MNALCLICTAX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.FUTURE_PL1 - Open, OFDP.FUTURE_PL1 - High, OFDP.FUTURE_PL1 - Low, OFDP.FUTURE_PL1 - Settle, OFDP.FUTURE_PL1 - Volume, OFDP.FUTURE_PL1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_DACGQ_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([FRED.LAWHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_ASBH_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([OFDP.DMDRN_SMCS_EV_SALES - EV To Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_NATH_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([FRED.CTWMAN - Value], dtype=object)\n", "Index([FRED.ORINCTAX - Value], dtype=object)\n", "Index([FRED.OREART - Value], dtype=object)\n", "Index([OFDP.DMDRN_CGA_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([FRED.VTHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_FDRY_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_MDER_FIRM_VAL - Firm Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NHNGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_EXSR_EV - Enterprise Value], dtype=object)\n", "Index([FRED.NHRVAC - Value], dtype=object)\n", "Index([OFDP.DMDRN_TSIX_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([OFDP.DMDRN_CZNC_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([OFDP.DMDRN_USON_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_HUG_INV_CAP - Invested Capital], dtype=object)\n", "Index([FRED.KYINFON - Value], dtype=object)\n", "Index([FRED.OKWADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_CYCC_CORREL - Correlation with the Market], dtype=object)\n", "Index([FRED.CTOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NHEREA - Value], dtype=object)\n", "Index([FRED.CAWFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_MAHN_P_S - Price to Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_STRS_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([FRED.COBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_RANKY_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([FRED.SDWEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_MULM_DEPREC - Depreciation], dtype=object)\n", "Index([FRED.OHEADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_AEO_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([OFDP.DMDRN_CYBS_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.NVWCON - Value], dtype=object)\n", "Index([OFDP.DMDRN_IRAE_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OCC_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([FRED.VTEART - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_VNX_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.COSTHPI - Value], dtype=object)\n", "Index([FRED.MTWTRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_PRVH_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([FRED.CUSR0000SACL1E - Value], dtype=object)\n", "Index([FRED.TXWUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFX_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.NJEHEA - Value], dtype=object)\n", "Index([FRED.NDWPRO - Value], dtype=object)\n", "Index([FRED.FLENON - Value], dtype=object)\n", "Index([FRED.COOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.KYPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_ASFG_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.SCWREA - Value], dtype=object)\n", "Index([FRED.ARINCTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_ARXT_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.DGS10 - Value], dtype=object)\n", "Index([FRED.WIWNON - Value], dtype=object)\n", "Index([FRED.LAWFOR - Value], dtype=object)\n", "Index([FRED.WIEMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_MTXC_BETA_VL - Value Line Beta], dtype=object)\n", "Index([OFDP.DMDRN_SHDB_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([FRED.WVWUTI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.COWTRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_NRXI_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_GCGC_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([OFDP.DMDRN_MON_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([FRED.TNETRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_CRRB_HILO - Hi-Lo Risk], dtype=object)\n", "Index([FRED.KSPBSV - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBL_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([OFDP.DMDRN_HNR_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([FRED.GAEACC - Value], dtype=object)\n", "Index([FRED.OREOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_KCI_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([FRED.UTCORPINCTX - Value], dtype=object)\n", "Index([OFDP.DMDRN_LPTN_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_TRH_PE_CURR - Current PE Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MDEDUH - Value], dtype=object)\n", "Index([FRED.KYNRMN - Value], dtype=object)\n", "Index([FRED.AKALCLICTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_CFFN_PE_FWD - Forward PE Ratio], dtype=object)\n", "Index([OFDP.FUTURE_BOV2010 - Open, OFDP.FUTURE_BOV2010 - High, OFDP.FUTURE_BOV2010 - Low, OFDP.FUTURE_BOV2010 - Settle, OFDP.FUTURE_BOV2010 - Volume, OFDP.FUTURE_BOV2010 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_CAQ_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([FRED.MDEDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_WRLT_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([FRED.IDWCON - Value], dtype=object)\n", "Index([FRED.TNSRVO - Value], dtype=object)\n", "Index([FRED.IDPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_QIHU_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_GBBK_ROE - Return on Equity], dtype=object)\n", "Index([FRED.PAEDUH - Value], dtype=object)\n", "Index([OFDP.DMDRN_SBL_CORREL - Correlation with the Market], dtype=object)\n", "Index([FRED.ISRATIO - Value], dtype=object)\n", "Index([OFDP.DMDRN_MUI_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([FRED.MTUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_OAKT_FIRM_VAL - Firm Value], dtype=object)\n", "Index([FRED.WAHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_EGLT_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_CYIO_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([FRED.CTGOVT - Value], dtype=object)\n", "Index([OFDP.DMDRN_CLX_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([FRED.TNBPPRIVSA - Value], dtype=object)\n", "Index([FRED.SDRVAC - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.RICORPINCTX - Value], dtype=object)\n", "Index([OFDP.DMDRN_QBRA_TO_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([FRED.FLEWHO - Value], dtype=object)\n", "Index([FRED.ILWCON - Value], dtype=object)\n", "Index([FRED.CAEWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_ADMGQ_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_ALTI_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([FRED.NDWWHO - Value], dtype=object)\n", "Index([FRED.NCBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUG_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([FRED.DEINFON - Value], dtype=object)\n", "Index([FRED.ILPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.DEEADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_PNFTQ_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([FRED.NHWDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_ECEC_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_NAV_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_LOOP_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([OFDP.DMDRN_MAM_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([FRED.HIEMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_DHX_TO_NET_MARG - Net Margin], dtype=object)\n", "Index([FRED.KSEADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFTI_FIRM_VAL - Firm Value], dtype=object)\n", "Index([FRED.GAWHEA - Value], dtype=object)\n", "Index([FRED.ARWCON - Value], dtype=object)\n", "Index([OFDP.DMDRN_YONG_DEPREC - Depreciation], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_OXY_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([FRED.MTWEDU - Value], dtype=object)\n", "Index([FRED.VAEEDU - Value], dtype=object)\n", "Index([FRED.NMWUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_CNL_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_XOXO_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([FRED.CAINFON - Value], dtype=object)\n", "Index([FRED.NEWADM - Value], dtype=object)\n", "Index([FRED.MDWCON - Value], dtype=object)\n", "Index([FRED.NMRVAC - Value], dtype=object)\n", "Index([FRED.ALEUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUMP_PE_TRAIL - Trailing PE Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NCWFOR - Value], dtype=object)\n", "Index([FRED.NEOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_OCLGE_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.GACORPINCTX - Value], dtype=object)\n", "Index([FRED.SCALCLICTAX - Value], dtype=object)\n", "Index([FRED.FLEADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_GTLL_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_DOX_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([OFDP.DMDRN_BDX_BETA_VL - Value Line Beta], dtype=object)\n", "Index([OFDP.FUTURE_MZ2011 - Open, OFDP.FUTURE_MZ2011 - High, OFDP.FUTURE_MZ2011 - Low, OFDP.FUTURE_MZ2011 - Settle, OFDP.FUTURE_MZ2011 - Volume, OFDP.FUTURE_MZ2011 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_OPTV_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([FRED.MOEADM - Value], dtype=object)\n", "Index([FRED.MTEACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_DAYR_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([FRED.GAPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.FUTURE_GI1 - Open, OFDP.FUTURE_GI1 - High, OFDP.FUTURE_GI1 - Low, OFDP.FUTURE_GI1 - Settle, OFDP.FUTURE_GI1 - Volume, OFDP.FUTURE_GI1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_ALOG_EPS_FWD - Forward Earnings Per Share], dtype=object)\n", "Index([OFDP.DMDRN_CITP_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.KSWFOR - Value], dtype=object)\n", "Index([FRED.INENON - Value], dtype=object)\n", "Index([FRED.AKEART - Value], dtype=object)\n", "Index([OFDP.DMDRN_HULL_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([OFDP.DMDRN_CCLAY_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([FRED.HICORPINCTX - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCLR_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([OFDP.DMDRN_NPLI_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_GB_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.WYWFIN - Value], dtype=object)\n", "Index([FRED.MOCORPINCTX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.CANGSP - Value], dtype=object)\n", "Index([FRED.KYEPRO - Value], dtype=object)\n", "Index([FRED.LAPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_OCLR_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([FRED.IDEDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_AC_TO_BETA_VL - Value Line Beta], dtype=object)\n", "Index([FRED.MNPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.SDBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_IGCO_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_CILE_ROE - Return on Equity], dtype=object)\n", "Index([FRED.WAEADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_EXAR_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([FRED.LAEOTH - Value], dtype=object)\n", "Index([FRED.COWMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_AFBRE_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.UTEMAN - Value], dtype=object)\n", "Index([FRED.NMRGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_TSFT_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([FRED.OKINCTAX - Value], dtype=object)\n", "Index([FRED.MOGOVT - Value], dtype=object)\n", "Index([OFDP.DMDRN_MAMA_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.TERMCBCCALLNS - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_PTSI_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([FRED.WVEFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_OBAS_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_INCY_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_HON_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([FRED.NHNA - Value], dtype=object)\n", "Index([FRED.UTINFON - Value], dtype=object)\n", "Index([FRED.ASPUS - Value], dtype=object)\n", "Index([OFDP.DMDRN_SOLF_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_FBA_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([OFDP.DMDRN_GAS_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_UFBS_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.INEMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_IATV_BETA_VL - Value Line Beta], dtype=object)\n", "Index([FRED.AKPBSV - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_HMLF_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_NIV_PE_FWD - Forward PE Ratio], dtype=object)\n", "Index([FRED.GAHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_WMAR_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([FRED.SDUR - Value], dtype=object)\n", "Index([FRED.WAWMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_CBHI_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([FRED.CAEDUH - Value], dtype=object)\n", "Index([OFDP.DMDRN_LATD_DIV - Dividends], dtype=object)\n", "Index([FRED.ALWDUR - Value], dtype=object)\n", "Index([FRED.AZEMIN - Value], dtype=object)\n", "Index([FRED.NEMFG - Value], dtype=object)\n", "Index([OFDP.DMDRN_PTTL_INV_CAP - Invested Capital], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.IDEUTI - Value], dtype=object)\n", "Index([FRED.AKNRMN - Value], dtype=object)\n", "Index([OFDP.DMDRN_NVDA_INV_CAP - Invested Capital], dtype=object)\n", "Index([FRED.MDEMAN - Value], dtype=object)\n", "Index([FRED.IDSLGRTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_CRN_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_NWA_NET_MARG - Net Margin], dtype=object)\n", "Index([OFDP.DMDRN_ELRC_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([OFDP.DMDRN_ANII_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.IDWFOR - Value], dtype=object)\n", "Index([FRED.INEPRO - Value], dtype=object)\n", "Index([FRED.HIINFON - Value], dtype=object)\n", "Index([OFDP.DMDRN_GAS_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.NJWADM - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_TTLA_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([OFDP.FUTURE_COT_246 - Producer/Merchant/Processor/User Long, OFDP.FUTURE_COT_246 - Producer/Merchant/Processor/User Short, OFDP.FUTURE_COT_246 - Swap Dealers Long, OFDP.FUTURE_COT_246 - Swap Dealers Short, OFDP.FUTURE_COT_246 - Swap Dealers Spreading, OFDP.FUTURE_COT_246 - Managed Money Long, OFDP.FUTURE_COT_246 - Managed Money Short, OFDP.FUTURE_COT_246 - Managed Money Spreading, OFDP.FUTURE_COT_246 - Other Reportables Long, OFDP.FUTURE_COT_246 - Other Reportables Short, OFDP.FUTURE_COT_246 - Other Reportables Spreading], dtype=object)\n", "Index([FRED.IAENON - Value], dtype=object)\n", "Index([OFDP.DMDRN_CNRD_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([FRED.MTWPRO - Value], dtype=object)\n", "Index([FRED.GANGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBH_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([OFDP.DMDRN_DVBC_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_BED_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([FRED.MTWINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_DJT_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_CGFW_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.NHWMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_SBLK_EFF_TAX_INC - Effective Tax Rate on Income], dtype=object)\n", "Index([FRED.NHWPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_PUDA_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.ALEADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_CRI_EV_SALES - EV To Sales Ratio], dtype=object)\n", "Index([FRED.CPIULFSL - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_QD_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([FRED.MOWTOT - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBNKQ_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([OFDP.DMDRN_HUF_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([OFDP.DMDRN_QPSA_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([FRED.ILBPPRIVSA - Value], dtype=object)\n", "Index([FRED.ARSLGRTAX - Value], dtype=object)\n", "Index([FRED.HIWREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_FBAK_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([FRED.KYWINF - Value], dtype=object)\n", "Index([FRED.NMHOWN - Value], dtype=object)\n", "Index([FRED.OKWACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFUE_REV_LAST - Revenues], dtype=object)\n", "Index([OFDP.DMDRN_MFB_PAYOUT - Payout Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_SNVHQ_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([FRED.VTEUTI - Value], dtype=object)\n", "Index([FRED.HIEWHO - Value], dtype=object)\n", "Index([FRED.MIWMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_HKN_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([FRED.KYNA - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFTI_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([FRED.WIEFOR - Value], dtype=object)\n", "Index([FRED.UTEOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_COO_NET_INC - Net Income], dtype=object)\n", "Index([OFDP.DMDRN_CEAI_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([OFDP.DMDRN_EMPA_TO_INV_CAP - Free Cash Flow to Firm], dtype=object)\n", "Index([OFDP.DMDRN_SNUS_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.CAEFOR - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_CXP_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_IFTC_FIRM_VAL - Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_WPP_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.NCLEIH - Value], dtype=object)\n", "Index([FRED.NYEHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_SBY_TO_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([FRED.VTTOTLTAX - Value], dtype=object)\n", "Index([FRED.VTEEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_MTXC_ROC - Return on Capital], dtype=object)\n", "Index([OFDP.DMDRN_OBSD_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([FRED.DCD1M - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUDS_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([FRED.NYRVAC - Value], dtype=object)\n", "Index([OFDP.DMDRN_PWHSQ_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.IAEWHO - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.VATOTLTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFUL_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_MAHNE_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_OCCM_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([FRED.NVWEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_JBSS_EFF_TAX_INC - Effective Tax Rate on Income], dtype=object)\n", "Index([FRED.NJWMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBL_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([FRED.NDFIRE - Value], dtype=object)\n", "Index([OFDP.DMDRN_ZRAN_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([FRED.CP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.SDWNON - Value], dtype=object)\n", "Index([FRED.NMEWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_OAS_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([OFDP.DMDRN_FCST_BETA_VL - Value Line Beta], dtype=object)\n", "Index([OFDP.DMDRN_IFTA_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.DEEMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_HULL_TOT_DEBT - Total Debt], dtype=object)\n", "Index([OFDP.DMDRN_OAKR_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([FRED.NYWDUR - Value], dtype=object)\n", "Index([FRED.FLEOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_VFGI_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.NDPROPTAX - Value], dtype=object)\n", "Index([FRED.VTEACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_NICK_EV - Enterprise Value], dtype=object)\n", "Index([OFDP.DMDRN_BFBC_INST_HOLD - Institutional Holdings], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_MIKE_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([OFDP.DMDRN_GRM_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_LAYN_EPS_FWD - Forward Earnings Per Share], dtype=object)\n", "Index([FRED.MSNA - Value], dtype=object)\n", "Index([FRED.LAEEDU - Value], dtype=object)\n", "Index([FRED.MIWHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_XOSY_ROE - Return on Equity], dtype=object)\n", "Index([OFDP.DMDRN_MS_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_MAXI_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([FRED.ORWMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_FFTIQ_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([OFDP.DMDRN_NWFS_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([FRED.KSEHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_CEY_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_FCB_INV_CAP - Invested Capital], dtype=object)\n", "Index([FRED.AKEFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_DMEDF_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.AZWART - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MECONS - Value], dtype=object)\n", "Index([FRED.NDSTHPI - Value], dtype=object)\n", "Index([OFDP.DMDRN_GAHC_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([FRED.AKWNON - Value], dtype=object)\n", "Index([FRED.KSUR - Value], dtype=object)\n", "Index([FRED.MSWFIN - Value], dtype=object)\n", "Index([FRED.IDINFON - Value], dtype=object)\n", "Index([FRED.KSEOTH - Value], dtype=object)\n", "Index([FRED.GAEMAN - Value], dtype=object)\n", "Index([FRED.LAWREA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.ILWFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_AETC_EV - Enterprise Value], dtype=object)\n", "Index([FRED.MSWPRO - Value], dtype=object)\n", "Index([FRED.MOWUTI - Value], dtype=object)\n", "Index([FRED.FLWADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_HULL_REINV - Reinvestment Amount], dtype=object)\n", "Index([FRED.KSWINF - Value], dtype=object)\n", "Index([FRED.ARWFIN - Value], dtype=object)\n", "Index([FRED.NCHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_MRT_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([FRED.DEWMAN - Value], dtype=object)\n", "Index([FRED.UTHOWN - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_SLF_TO_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_LAWEQ_HILO - Hi-Lo Risk], dtype=object)\n", "Index([FRED.DERVAC - Value], dtype=object)\n", "Index([FRED.IAEMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_SNVH_P_S - Price to Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OIIM_INSIDER - Insider Holdings], dtype=object)\n", "Index([OFDP.DMDRN_HBC_TO_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([FRED.GAETRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_ACET_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_DHOM_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([OFDP.DMDRN_HUGH_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OCCM_INV_CAP - Invested Capital], dtype=object)\n", "Index([OFDP.DMDRN_NWAC_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([OFDP.DMDRN_BODY_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_PUDA_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([FRED.KYCONS - Value], dtype=object)\n", "Index([FRED.TXOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_HB_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([OFDP.DMDRN_LVDL_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([OFDP.DMDRN_KBK_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([FRED.NCTRAD - Value], dtype=object)\n", "Index([OFDP.DMDRN_NPO_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_HBBI_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_POSO_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_UFCS_INSIDER - Insider Holdings], dtype=object)\n", "Index([OFDP.DMDRN_CBONQ_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([FRED.UTEPRO - Value], dtype=object)\n", "Index([FRED.MTEART - Value], dtype=object)\n", "Index([FRED.MNWOTH - Value], dtype=object)\n", "Index([FRED.NVINFON - Value], dtype=object)\n", "Index([OFDP.FUTURE_MM2013 - Open, OFDP.FUTURE_MM2013 - High, OFDP.FUTURE_MM2013 - Low, OFDP.FUTURE_MM2013 - Settle, OFDP.FUTURE_MM2013 - Volume, OFDP.FUTURE_MM2013 - Open Interest], dtype=object)\n", "Index([FRED.M04I1ADE00ESSM372NNBR - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.DEPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MNGOVT - Value], dtype=object)\n", "Index([FRED.FLOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.CAUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_ARTD_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_NATH_INV_CAP - Invested Capital], dtype=object)\n", "Index([OFDP.DMDRN_MOLI_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([OFDP.DMDRN_ENCC_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.MEWCON - Value], dtype=object)\n", "Index([OFDP.DMDRN_AIA_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.GAWFOR - Value], dtype=object)\n", "Index([FRED.LAEMAN - Value], dtype=object)\n", "Index([FRED.WAEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_GLBC_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.WYEOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCCF_P_BV - Price to Book Value Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NHALCLICTAX - Value], dtype=object)\n", "Index([FRED.MNEFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_DIAL_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([FRED.TNEOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_LAWS_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([FRED.MAWPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_QCOR_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([FRED.FYFSGDA188S - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_CYGN_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_PULB_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([FRED.CUSR0000SETA02 - Value], dtype=object)\n", "Index([OFDP.DMDRN_ENVG_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_CRGN_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([FRED.AKLEIH - Value], dtype=object)\n", "Index([FRED.MNWWHO - Value], dtype=object)\n", "Index([FRED.TNCONS - Value], dtype=object)\n", "Index([FRED.NDNGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_EXP_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([FRED.ILWPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_FCBQ_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([OFDP.DMDRN_TZMT_DEPREC - Depreciation], dtype=object)\n", "Index([FRED.IDRVAC - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_GBBK_EPS_GRO_EXP - Expected Growth in Earnings Per Share], dtype=object)\n", "Index([OFDP.DMDRN_PTSG_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([OFDP.DMDRN_PTTL_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([FRED.MNWUTI - Value], dtype=object)\n", "Index([FRED.TNEDUR - Value], dtype=object)\n", "Index([FRED.INWMAN - Value], dtype=object)\n", "Index([FRED.MDWNON - Value], dtype=object)\n", "Index([FRED.WAWUTI - Value], dtype=object)\n", "Index([FRED.KYWART - Value], dtype=object)\n", "Index([OFDP.DMDRN_MAHNE_TOT_DEBT - Total Debt], dtype=object)\n", "Index([OFDP.DMDRN_MAHNE_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([OFDP.DMDRN_DII_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_F_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([OFDP.DMDRN_HMLF_REV_12M - Trailing 12-month Revenues], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_TSIX_TOT_DEBT - Total Debt], dtype=object)\n", "Index([FRED.OREMIN - Value], dtype=object)\n", "Index([FRED.MIEEDU - Value], dtype=object)\n", "Index([FRED.OKNGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_HAXS_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_OCCF_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_SNSA_INSIDER - Insider Holdings], dtype=object)\n", "Index([OFDP.DMDRN_NVT_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.OHWMAN - Value], dtype=object)\n", "Index([OFDP.FUTURE_CD1 - Open, OFDP.FUTURE_CD1 - High, OFDP.FUTURE_CD1 - Low, OFDP.FUTURE_CD1 - Settle, OFDP.FUTURE_CD1 - Volume, OFDP.FUTURE_CD1 - Open Interest], dtype=object)\n", "Index([FRED.WVEEDU - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_ASFE_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_OCLGE_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([OFDP.DMDRN_IFSG_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.VANGSP - Value], dtype=object)\n", "Index([FRED.NEEEDU - Value], dtype=object)\n", "Index([FRED.CTCONS - Value], dtype=object)\n", "Index([OFDP.DMDRN_QLTY_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.RIWNON - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCAS_DIV - Dividends], dtype=object)\n", "Index([FRED.LAEDUH - Value], dtype=object)\n", "Index([OFDP.DMDRN_JMAR_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([FRED.MAWEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_SIBM_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_OAOT_MKT_DE - Market Debt to Equity Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_MAIR_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_WADE_MKT_DE - Market 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Interest], dtype=object)\n", "Index([FRED.MDWART - Value], dtype=object)\n", "Index([FRED.OKEFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_UBMT_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_HBBI_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([FRED.WIEINF - Value], dtype=object)\n", "Index([FRED.UTEART - Value], dtype=object)\n", "Index([FRED.NCCORPINCTX - Value], dtype=object)\n", "Index([OFDP.DMDRN_OAR_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.OREFIN - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_ASB_INV_CAP - Invested Capital], dtype=object)\n", "Index([FRED.CACORPINCTX - Value], dtype=object)\n", "Index([FRED.JPNPOPL - Value], dtype=object)\n", "Index([OFDP.DMDRN_NWA_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([OFDP.DMDRN_TSH_TOT_DEBT - Total Debt], dtype=object)\n", "Index([OFDP.DMDRN_PAII_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.MAEACC - Value], dtype=object)\n", "Index([FRED.VAEFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUBG_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([OFDP.DMDRN_VWKS_P_S - Price to Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_CRMZ_BETA_VL - Value Line Beta], dtype=object)\n", "Index([FRED.WASLGRTAX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_ELRNF_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([OFDP.DMDRN_DAY_TO_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_IGC_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([FRED.PAWACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_EXCO_ROC - Return on Capital], dtype=object)\n", "Index([FRED.MICONS - Value], dtype=object)\n", "Index([OFDP.DMDRN_HBBI_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.MOEACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_DXN_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([FRED.NMEEDU - Value], dtype=object)\n", "Index([FRED.POP - Value], dtype=object)\n", "Index([OFDP.FUTURE_DJ1 - Open, OFDP.FUTURE_DJ1 - High, OFDP.FUTURE_DJ1 - Low, OFDP.FUTURE_DJ1 - Settle, OFDP.FUTURE_DJ1 - Volume, OFDP.FUTURE_DJ1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_ACLS_EPS_GRO_EXP - Expected Growth in Earnings Per Share], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_MOAT_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.ORWREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_FET_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_STHKQ_HILO - Hi-Lo Risk], dtype=object)\n", "Index([OFDP.DMDRN_KAZ_PAYOUT - Payout Ratio], dtype=object)\n", "Index([FRED.MSGOVT - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCAS_EV - Enterprise Value], dtype=object)\n", "Index([FRED.SCETRA - Value], dtype=object)\n", "Index([FRED.KSWMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_SYXI_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.AZRVAC - Value], dtype=object)\n", "Index([OFDP.DMDRN_PMTRE_P_S - Price to Sales Ratio], dtype=object)\n", "Index([FRED.OKWMAN - Value], dtype=object)\n", "Index([FRED.INRGSP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_NCCN_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.NHWCON - Value], dtype=object)\n", "Index([FRED.PAWUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_PTTL_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.MNUR - Value], dtype=object)\n", "Index([FRED.VAEOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_ASFG_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_VII_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.FLHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_STMP_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([OFDP.DMDRN_EVSI_REV_LAST - Revenues], dtype=object)\n", "Index([OFDP.DMDRN_BTH_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([FRED.ORPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MSECON - Value], dtype=object)\n", "Index([FRED.CASLGRTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_HMII_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_KMB_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_HYBT_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_ASI_EFF_TAX_INC - Effective Tax Rate on Income], dtype=object)\n", "Index([OFDP.DMDRN_DOV_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([FRED.WYHOWN - Value], dtype=object)\n", "Index([FRED.MEEEDU - Value], dtype=object)\n", "Index([FRED.NYWPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_MTXC_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([FRED.ALWMIN - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.SDWACC - Value], dtype=object)\n", "Index([FRED.OHWTOT - Value], dtype=object)\n", "Index([FRED.ALRGSP - Value], dtype=object)\n", "Index([FRED.ARBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_AMZ_NET_INC - Net Income], dtype=object)\n", "Index([FRED.WAPROPTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_PTSX_P_S - Price to Sales Ratio], dtype=object)\n", "Index([FRED.OHSTHPI - Value], dtype=object)\n", "Index([FRED.KSINFON - Value], dtype=object)\n", "Index([FRED.NDWART - Value], dtype=object)\n", "Index([OFDP.DMDRN_AIA_ROC - Return on Capital], dtype=object)\n", "Index([OFDP.DMDRN_AGY_BV_ASSETS - Book Value of Assets], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_AWR_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([FRED.UTPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NCSRVO - Value], dtype=object)\n", "Index([FRED.AZPBSV - Value], dtype=object)\n", "Index([FRED.DFF - Value], dtype=object)\n", "Index([FRED.WYWMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBKC_PE_FWD - Forward PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OAKT_DIV - Dividends], dtype=object)\n", "Index([FRED.MTWHEA - Value], dtype=object)\n", "Index([FRED.MSALCLICTAX - Value], dtype=object)\n", "Index([FRED.TNWREA - Value], dtype=object)\n", "Index([FRED.WYEFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_FL_TO_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.NCWREA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_DYOLF_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([OFDP.DMDRN_HUF_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([FRED.NMWTRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_OAKT_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.GAWEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_RAMS_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.AKRVAC - Value], dtype=object)\n", "Index([FRED.UTWCON - Value], dtype=object)\n", "Index([OFDP.DMDRN_PRU_CORREL - Correlation with the Market], dtype=object)\n", "Index([FRED.NDSRVO - Value], dtype=object)\n", "Index([OFDP.DMDRN_DAN_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([OFDP.FUTURE_O1 - Open, OFDP.FUTURE_O1 - High, OFDP.FUTURE_O1 - Low, OFDP.FUTURE_O1 - Settle, OFDP.FUTURE_O1 - Volume, OFDP.FUTURE_O1 - Open Interest], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_AERO_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_FBCP_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.HIWADM - Value], dtype=object)\n", "Index([FRED.CUSR0000SEHC01 - Value], dtype=object)\n", "Index([OFDP.DMDRN_SIII_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([OFDP.DMDRN_BHP_BETA_VL - Value Line Beta], dtype=object)\n", "Index([OFDP.DMDRN_GBCS_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.NVWMIN - Value], dtype=object)\n", "Index([FRED.NHLEIH - Value], dtype=object)\n", "Index([FRED.VTWMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_ELOY_TOT_DEBT - Total Debt], dtype=object)\n", "Index([FRED.LAEPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_CYDX_TOT_DEBT - Total Debt], dtype=object)\n", "Index([FRED.DEWREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_LEHMQ_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([FRED.IDGOVT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.SCWFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_AEP_EPS_FWD - Forward Earnings Per Share], dtype=object)\n", "Index([OFDP.DMDRN_FBSI_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.GAOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_IPIC_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_XNPT_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([OFDP.DMDRN_HATH_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([OFDP.DMDRN_EXAS_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_HUF_BETA_VL - Value Line Beta], dtype=object)\n", "Index([FRED.DCD6M - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBCP_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([FRED.KYMFG - Value], dtype=object)\n", "Index([OFDP.DMDRN_SEEC_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_DSTME_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_INTM_EPS_GRO_EXP - Expected Growth in Earnings Per Share], dtype=object)\n", "Index([FRED.RIALCLICTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_FDCC_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([OFDP.DMDRN_FBMI_NET_INC_TRAIL - Trailing Net Income], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.FUTURE_LN1 - Open, OFDP.FUTURE_LN1 - High, OFDP.FUTURE_LN1 - Low, OFDP.FUTURE_LN1 - Settle, OFDP.FUTURE_LN1 - Volume, OFDP.FUTURE_LN1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_KBALB_ROC - Return on Capital], dtype=object)\n", "Index([OFDP.FUTURE_NG1 - Open, OFDP.FUTURE_NG1 - High, OFDP.FUTURE_NG1 - Low, OFDP.FUTURE_NG1 - Settle, OFDP.FUTURE_NG1 - Volume, OFDP.FUTURE_NG1 - Open Interest], dtype=object)\n", "Index([FRED.NYWADM - Value], dtype=object)\n", "Index([OFDP.FUTURE_SB1 - Open, OFDP.FUTURE_SB1 - High, OFDP.FUTURE_SB1 - Low, OFDP.FUTURE_SB1 - Settle, OFDP.FUTURE_SB1 - Volume, OFDP.FUTURE_SB1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_WOLF_CORREL - Correlation with the Market], dtype=object)\n", "Index([FRED.AKEACC - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_HDSNC_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.ILLEIH - Value], dtype=object)\n", "Index([FRED.WAEEDU - Value], dtype=object)\n", "Index([FRED.WIBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_ZNH_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([FRED.DEWADM - Value], dtype=object)\n", "Index([FRED.TNWWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_PBR_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.MOETRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_MAGS_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_CYBS_EPS_GRO_EXP - Expected Growth in Earnings Per Share], dtype=object)\n", "Index([FRED.VACORPINCTX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_WCG_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([FRED.VAWCON - Value], dtype=object)\n", "Index([FRED.GAWTRA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_BIOA_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([FRED.NEPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_NBL_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_AXL_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_DAAT_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([FRED.IDWOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_NASC_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([FRED.NDRGSP - Value], dtype=object)\n", "Index([FRED.MSEEDU - Value], dtype=object)\n", "Index([OFDP.FUTURE_SX1991 - Open, OFDP.FUTURE_SX1991 - High, OFDP.FUTURE_SX1991 - Low, OFDP.FUTURE_SX1991 - Settle, OFDP.FUTURE_SX1991 - Volume, OFDP.FUTURE_SX1991 - Open Interest], dtype=object)\n", "Index([FRED.WVEINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_ATAC_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_CEAH_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.ALBPPRIVSA - Value], dtype=object)\n", "Index([FRED.RIRVAC - Value], dtype=object)\n", "Index([FRED.NCNGSP - Value], dtype=object)\n", "Index([FRED.AZWREA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.IDEFIN - Value], dtype=object)\n", "Index([FRED.AKETRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_SKD_TO_EPS_GRO - Growth in Earnings Per Share], dtype=object)\n", "Index([OFDP.DMDRN_PDEX_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_NWLIA_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([OFDP.DMDRN_OAKT_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.FLEPRO - Value], dtype=object)\n", "Index([FRED.MNEART - Value], dtype=object)\n", "Index([FRED.INWOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_DHI_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([FRED.NDTRAD - Value], dtype=object)\n", "Index([OFDP.DMDRN_CYTP_NET_MARG - Net Margin], dtype=object)\n", "Index([FRED.MDALCLICTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_MODT_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([OFDP.DMDRN_PCLN_BOOK_DC - Book Debt to Capital Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MAWDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_DNTK_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([OFDP.DMDRN_MMG_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([FRED.ILWTOT - Value], dtype=object)\n", "Index([FRED.TXENON - Value], dtype=object)\n", "Index([FRED.IAWADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_AGN_BETA_VL - Value Line Beta], dtype=object)\n", "Index([FRED.CAWCON - Value], dtype=object)\n", "Index([OFDP.DMDRN_FBF_TOT_DEBT - Total Debt], dtype=object)\n", "Index([OFDP.DMDRN_BEAC_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([FRED.NHEUTI - Value], dtype=object)\n", "Index([OFDP.STEELBILLET_46 - Bid, OFDP.STEELBILLET_46 - Ask, OFDP.STEELBILLET_46 - Mid], dtype=object)\n", "Index([OFDP.DMDRN_BIOD_EPS_FWD - Forward Earnings Per Share], dtype=object)\n", "Index([OFDP.DMDRN_CEI_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([FRED.WANA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.WYECON - Value], dtype=object)\n", "Index([OFDP.DMDRN_ASD_CASH - Cash], dtype=object)\n", "Index([FRED.NDSLGRTAX - Value], dtype=object)\n", "Index([FRED.MEWEDU - Value], dtype=object)\n", "Index([FRED.NVGOVT - Value], dtype=object)\n", "Index([FRED.CUSR0000SEAF - Value], dtype=object)\n", "Index([OFDP.DMDRN_FDTR_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([FRED.NYWINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCLR_REV_LAST - Revenues], dtype=object)\n", "Index([OFDP.DMDRN_OCLGE_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_RAM_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([FRED.WVWEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_CLPTE_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([FRED.NMEINF - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.TXEDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_CACH_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([FRED.NMSLGRTAX - Value], dtype=object)\n", "Index([FRED.FLWEDU - Value], dtype=object)\n", "Index([FRED.MIPROPTAX - Value], dtype=object)\n", "Index([FRED.MSWWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_SDIXE_P_S - Price to Sales Ratio], dtype=object)\n", "Index([FRED.LAINCTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_CNWT_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.DMDRN_BHIP_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.DMDRN_OC_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.NEEOTH - Value], dtype=object)\n", "Index([FRED.PAWTOT - Value], dtype=object)\n", "Index([FRED.OHWEDU - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.WVPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_NCEB_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([FRED.VAWFIN - Value], dtype=object)\n", "Index([FRED.TNINFON - Value], dtype=object)\n", "Index([FRED.UTEDUH - Value], dtype=object)\n", "Index([OFDP.DMDRN_KDE_EV_SALES - EV To Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_GBBK_ROC - Return on Capital], dtype=object)\n", "Index([OFDP.DMDRN_OCNB_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([OFDP.DMDRN_JNJ_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([FRED.VTWTRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_OAKT_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([FRED.NDMFG - Value], dtype=object)\n", "Index([OFDP.DMDRN_KAMN_ROE - Return on Equity], dtype=object)\n", "Index([FRED.IAALCLICTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_DAP_EV - Enterprise Value], dtype=object)\n", "Index([FRED.MNEADM - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_EX_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([FRED.WYENON - Value], dtype=object)\n", "Index([OFDP.DMDRN_XDSL_EV_SALES - EV To Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_XEL_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([FRED.RIEWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_AVCA_REINV - Reinvestment Amount], dtype=object)\n", "Index([FRED.NJEMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_JCDAD_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([FRED.MNNGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_TSMA_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([FRED.SDEEDU - Value], dtype=object)\n", "Index([FRED.NMWPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_MUINQ_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([FRED.LARVAC - Value], dtype=object)\n", "Index([OFDP.DMDRN_CPQQ_CASH - Cash], dtype=object)\n", "Index([FRED.NCWART - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.IAPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.WVEFOR - Value], dtype=object)\n", "Index([FRED.ORWEDU - Value], dtype=object)\n", "Index([FRED.TXEEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUMP_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_NWA_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.MEFIRE - Value], dtype=object)\n", "Index([OFDP.DMDRN_PTSI_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([OFDP.DMDRN_MUIN_ROC - Return on Capital], dtype=object)\n", "Index([FRED.TNEFIN - Value], dtype=object)\n", "Index([FRED.TXHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_FR_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([FRED.LAEINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_FBGI_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.DMDRN_NATH_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_DII_BV_ASSETS - Book Value of Assets], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.VTWADM - Value], dtype=object)\n", "Index([FRED.OHINCTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_UNRG_EV - Enterprise Value], dtype=object)\n", "Index([OFDP.DMDRN_OAKT_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([FRED.RIUR - Value], dtype=object)\n", "Index([FRED.GAWART - Value], dtype=object)\n", "Index([FRED.WYEUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_CYDX_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.NMWEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_MTX_BETA_VL - Value Line Beta], dtype=object)\n", "Index([OFDP.DMDRN_SVU_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_ELAS_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([OFDP.DMDRN_SOUP_MKT_CAP - Market Capitalization], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_HATH_PAYOUT - Payout Ratio], dtype=object)\n", "Index([OFDP.DMDRN_CYFT_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([OFDP.FUTURE_COT_223 - Producer/Merchant/Processor/User Long, OFDP.FUTURE_COT_223 - Producer/Merchant/Processor/User Short, OFDP.FUTURE_COT_223 - Swap Dealers Long, OFDP.FUTURE_COT_223 - Swap Dealers Short, OFDP.FUTURE_COT_223 - Swap Dealers Spreading, OFDP.FUTURE_COT_223 - Managed Money Long, OFDP.FUTURE_COT_223 - Managed Money Short, OFDP.FUTURE_COT_223 - Managed Money Spreading, OFDP.FUTURE_COT_223 - Other Reportables Long, OFDP.FUTURE_COT_223 - Other Reportables Short, OFDP.FUTURE_COT_223 - Other Reportables Spreading], dtype=object)\n", "Index([FRED.MSWCON - Value], dtype=object)\n", "Index([OFDP.DMDRN_TRIT_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([FRED.RIGOVT - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBKC_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([OFDP.DMDRN_APPS_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.CTECON - Value], dtype=object)\n", "Index([FRED.FLWFIN - Value], dtype=object)\n", "Index([FRED.SDWINF - Value], dtype=object)\n", "Index([FRED.USHVAC - Value], dtype=object)\n", "Index([OFDP.DMDRN_ASFE_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([OFDP.DMDRN_BDSPY_BOOK_DC - Book Debt to Capital Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MIEACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_JCI_ROC - Return on Capital], dtype=object)\n", "Index([FRED.NDWHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCLGE_EV - Enterprise Value], dtype=object)\n", "Index([OFDP.DMDRN_OC_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.NVEHEA - Value], dtype=object)\n", "Index([FRED.NYEACC - Value], dtype=object)\n", "Index([OFDP.FUTURE_BO1 - Open, OFDP.FUTURE_BO1 - High, OFDP.FUTURE_BO1 - Low, OFDP.FUTURE_BO1 - Settle, OFDP.FUTURE_BO1 - Volume, OFDP.FUTURE_BO1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_HAVS_P_S - Price to Sales Ratio], dtype=object)\n", "Index([FRED.ORINFON - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.IDECON - Value], dtype=object)\n", "Index([FRED.NHWFIN - Value], dtype=object)\n", "Index([FRED.OKCONS - Value], dtype=object)\n", "Index([OFDP.DMDRN_GLM_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([FRED.NDWACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_NLPN_INSIDER - Insider Holdings], dtype=object)\n", "Index([FRED.AZEFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_OC_PE_FWD - Forward PE Ratio], dtype=object)\n", "Index([FRED.MEEFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBFP_ROC - Return on Capital], dtype=object)\n", "Index([OFDP.DMDRN_HUGH_CORREL - Correlation with the Market], dtype=object)\n", "Index([OFDP.DMDRN_AGA_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_AAC_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_ITI_NET_INC - Net Income], dtype=object)\n", "Index([OFDP.DMDRN_TWLL_ROC - Return on Capital], dtype=object)\n", "Index([FRED.NCEMIN - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.ILWHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_MUEI_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([FRED.RITRAD - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBIZ_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.DMDRN_ALAB_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([FRED.OHWCON - Value], dtype=object)\n", "Index([FRED.NYHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_MHH_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([OFDP.DMDRN_HAYN_EPS_GRO - Growth in Earnings Per Share], dtype=object)\n", "Index([OFDP.DMDRN_MTXX_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([FRED.SCWCON - Value], dtype=object)\n", "Index([FRED.LAEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_GISX_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([OFDP.DMDRN_HAUP_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([FRED.KYEADM - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.AZALCLICTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_DSSI_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([OFDP.DMDRN_GIN_TO_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([FRED.MDENON - Value], dtype=object)\n", "Index([FRED.PCEPILFE - Value], dtype=object)\n", "Index([OFDP.DMDRN_WSBC_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([FRED.FLWMIN - Value], dtype=object)\n", "Index([FRED.SCEDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCLR_INSIDER - Insider Holdings], dtype=object)\n", "Index([OFDP.DMDRN_ALTM_NET_INC - Net Income], dtype=object)\n", "Index([FRED.MASLGRTAX - Value], dtype=object)\n", "Index([FRED.IAINFON - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.ALSRVO - Value], dtype=object)\n", "Index([FRED.MIWPRO - Value], dtype=object)\n", "Index([FRED.MTFIRE - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBAY_EPS_FWD - Forward Earnings Per Share], dtype=object)\n", "Index([FRED.AREWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_BEVFF_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([FRED.ILGOVT - Value], dtype=object)\n", "Index([FRED.UTBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_APEI_EFF_TAX_INC - Effective Tax Rate on Income], dtype=object)\n", "Index([OFDP.DMDRN_INRG_DIV - Dividends], dtype=object)\n", "Index([FRED.LAWMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_CERE_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.RIRGSP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.LAPBSV - Value], dtype=object)\n", "Index([OFDP.DMDRN_FTS_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([OFDP.DMDRN_CHK_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([FRED.MAINCTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFUL_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_IFTA_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([OFDP.DMDRN_TRLG_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([FRED.OKWOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBALB_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_OAKR_BETA_VL - Value Line Beta], dtype=object)\n", "Index([OFDP.DMDRN_HAYN_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([FRED.CAWREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBAY_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([OFDP.DMDRN_FE_REV_LAST - Revenues], dtype=object)\n", "Index([FRED.WVEDUR - Value], dtype=object)\n", "Index([FRED.NHBPPRIVSA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.FUTURE_CL2 - Open, OFDP.FUTURE_CL2 - High, OFDP.FUTURE_CL2 - Low, OFDP.FUTURE_CL2 - Settle, OFDP.FUTURE_CL2 - Volume, OFDP.FUTURE_CL2 - Open Interest], dtype=object)\n", "Index([FRED.COTOTLTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_LVLT_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_FBAK_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([FRED.OKLEIH - Value], dtype=object)\n", "Index([FRED.HIEOTH - Value], dtype=object)\n", "Index([FRED.KSWADM - Value], dtype=object)\n", "Index([FRED.HIPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_ATA_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_EXBD_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.PAETRA - Value], dtype=object)\n", "Index([FRED.CANPOPL - Value], dtype=object)\n", "Index([OFDP.DMDRN_OPTM_EPS_GRO_EXP - Expected Growth in Earnings Per Share], dtype=object)\n", "Index([FRED.WAWMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBALB_EV_SALES - EV To Sales Ratio], dtype=object)\n", "Index([FRED.NYMFG - Value], dtype=object)\n", "Index([FRED.NCWTOT - Value], dtype=object)\n", "Index([FRED.ARWFOR - Value], dtype=object)\n", "Index([FRED.VAEREA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_NEWCQ_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([FRED.ARINFON - Value], dtype=object)\n", "Index([FRED.IANRMN - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBALB_PAYOUT - Payout Ratio], dtype=object)\n", "Index([FRED.MIEINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_FBA_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.DMDRN_ITHH_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([OFDP.DMDRN_LAZ_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.WVEHEA - Value], dtype=object)\n", "Index([FRED.NJETRA - Value], dtype=object)\n", "Index([FRED.AKEFOR - Value], dtype=object)\n", "Index([FRED.ARPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_CDCS_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_DQE_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([OFDP.DMDRN_KBL_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_FCAL_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([FRED.OHPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_MTZ_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.NDEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_BKH_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_IGCO_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([FRED.OKSTHPI - Value], dtype=object)\n", "Index([FRED.LAINFON - Value], dtype=object)\n", "Index([OFDP.DMDRN_CIV_CORREL - Correlation with the Market], dtype=object)\n", "Index([OFDP.DMDRN_TRCI_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([OFDP.DMDRN_KBKC_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([OFDP.DMDRN_EXBT_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([OFDP.DMDRN_GNCMA_ROE - Return on Equity], dtype=object)\n", "Index([OFDP.DMDRN_OCC_CORREL - Correlation with the Market], dtype=object)\n", "Index([OFDP.DMDRN_ECHO_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([FRED.MSWDUR - Value], dtype=object)\n", "Index([FRED.MEEACC - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_SIR_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([FRED.VAWTOT - Value], dtype=object)\n", "Index([FRED.NYEMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBKC_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([OFDP.DMDRN_PUBSF_NET_INC - Net Income], dtype=object)\n", "Index([FRED.SDEDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_SNVHQ_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([FRED.ARWINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_BDSI_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_KBKC_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([FRED.NEPBSV - Value], dtype=object)\n", "Index([FRED.MNOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.ARWREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_SALNC_P_S - Price to Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_XJT_ROE - Return on Equity], dtype=object)\n", "Index([FRED.KYWTOT - Value], dtype=object)\n", "Index([OFDP.DMDRN_PLRA_EV_EBITDA - EV to Invested Capital Ratio], dtype=object)\n", "Index([FRED.NCPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_DRCO_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_SGC_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([FRED.NJEADM - Value], dtype=object)\n", "Index([FRED.NCWCON - Value], dtype=object)\n", "Index([FRED.NMEDUR - Value], dtype=object)\n", "Index([FRED.OKEDUH - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFST_EV - Enterprise Value], dtype=object)\n", "Index([FRED.NHENON - Value], dtype=object)\n", "Index([OFDP.DMDRN_FAC_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_NWFS_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([FRED.FLBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_CLB_TOT_DEBT - Total Debt], dtype=object)\n", "Index([FRED.NHFIRE - Value], dtype=object)\n", "Index([FRED.MAWADM - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.FYFR - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.WIEWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_KOREA_CASH - Cash], dtype=object)\n", "Index([FRED.OKEDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFTI_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([FRED.VTEFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_PAOS_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([FRED.WVEADM - Value], dtype=object)\n", "Index([FRED.UTINCTAX - Value], dtype=object)\n", "Index([OFDP.ALUMINIUM_21 - Bid, OFDP.ALUMINIUM_21 - Ask, OFDP.ALUMINIUM_21 - Mid], dtype=object)\n", "Index([OFDP.DMDRN_NVAL_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_IFTI_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([FRED.MESLGRTAX - Value], dtype=object)\n", "Index([FRED.VTEPRO - Value], dtype=object)\n", "Index([FRED.MSBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_NWAC_EPS_FWD - Forward Earnings Per Share], dtype=object)\n", "Index([OFDP.DMDRN_LUV_EV_CAP - EV to Invested Capital Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.OREPRO - Value], dtype=object)\n", "Index([FRED.NVWFOR - Value], dtype=object)\n", "Index([FRED.WAWEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUFCQ_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([OFDP.DMDRN_KBH_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([FRED.NMENON - Value], dtype=object)\n", "Index([FRED.SDWDUR - Value], dtype=object)\n", "Index([FRED.MIHOWN - Value], dtype=object)\n", "Index([FRED.SDWFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_CBIS_FIRM_VAL - Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_MIKE_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_NVAL_TOT_DEBT - Total Debt], dtype=object)\n", "Index([OFDP.DMDRN_USAI_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([FRED.MAEDUR - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.FUTURE_VX1 - Open, OFDP.FUTURE_VX1 - High, OFDP.FUTURE_VX1 - Low, OFDP.FUTURE_VX1 - Settle, OFDP.FUTURE_VX1 - Volume, OFDP.FUTURE_VX1 - Open Interest], dtype=object)\n", "Index([FRED.MEWMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_EXCO_NET_INC - Net Income], dtype=object)\n", "Index([FRED.AZRGSP - Value], dtype=object)\n", "Index([FRED.LNU04073397 - Value], dtype=object)\n", "Index([FRED.ILPROPTAX - Value], dtype=object)\n", "Index([OFDP.FUTURE_EH1 - Open, OFDP.FUTURE_EH1 - High, OFDP.FUTURE_EH1 - Low, OFDP.FUTURE_EH1 - Settle, OFDP.FUTURE_EH1 - Volume, OFDP.FUTURE_EH1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_OBSD_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([FRED.WYPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.KSEPRO - Value], dtype=object)\n", "Index([FRED.HIEART - Value], dtype=object)\n", "Index([OFDP.DMDRN_EX_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_AETC_BETA_VL - Value Line Beta], dtype=object)\n", "Index([OFDP.DMDRN_AIA_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([OFDP.DMDRN_CTCH_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([OFDP.DMDRN_ININ_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([FRED.HIWWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_SIII_REV_LAST - Revenues], dtype=object)\n", "Index([OFDP.DMDRN_ASFE_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([FRED.MSTRAD - Value], dtype=object)\n", "Index([FRED.MAEDUH - Value], dtype=object)\n", "Index([FRED.NDWREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_COHY_EV - Enterprise Value], dtype=object)\n", "Index([FRED.NYWMAN - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MORVAC - Value], dtype=object)\n", "Index([FRED.SCEWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBI_DEPREC - Depreciation], dtype=object)\n", "Index([FRED.FLWTOT - Value], dtype=object)\n", "Index([FRED.NVEINF - Value], dtype=object)\n", "Index([FRED.TXEOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_ASRNF_INV_CAP - Invested Capital], dtype=object)\n", "Index([OFDP.DMDRN_HBCP_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([FRED.MTWMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_NOV_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([OFDP.DMDRN_OCNB_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([FRED.SDTRAD - Value], dtype=object)\n", "Index([OFDP.DMDRN_PTZ_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([OFDP.DMDRN_HUMP_REV_TRAIL - Trailing Revenues], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.INWNON - Value], dtype=object)\n", "Index([OFDP.DMDRN_OLY_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([FRED.KSCONS - Value], dtype=object)\n", "Index([OFDP.DMDRN_SLGLF_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([OFDP.DMDRN_OMEX_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_SHMR_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([OFDP.DMDRN_EXCO_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([FRED.MNETRA - Value], dtype=object)\n", "Index([FRED.OKWNON - Value], dtype=object)\n", "Index([FRED.GAEEDU - Value], dtype=object)\n", "Index([FRED.MOWDUR - Value], dtype=object)\n", "Index([FRED.FLFIRE - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_ATCT_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([OFDP.DMDRN_MTMS_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([OFDP.DMDRN_KBAY_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_BESI_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.OHMFG - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCCM_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.LAWTOT - Value], dtype=object)\n", "Index([FRED.RIEEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_AMCF_BETA_VL - Value Line Beta], dtype=object)\n", "Index([FRED.CUSR0000SASL2RS - Value], dtype=object)\n", "Index([FRED.KSWREA - Value], dtype=object)\n", "Index([FRED.UTEUTI - Value], dtype=object)\n", "Index([FRED.MOPROPTAX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_KCS_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([FRED.GAWACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_TSC_FIRM_VAL - Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_DHX_TO_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([OFDP.DMDRN_JBLU_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([FRED.PAEWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCGT_ROC - Return on Capital], dtype=object)\n", "Index([FRED.NCRVAC - Value], dtype=object)\n", "Index([FRED.WIWOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBTM_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([FRED.MAEFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_SGBI_BETA_VL - Value Line Beta], dtype=object)\n", "Index([FRED.IAGOVT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_AKZOY_EV_SALES - EV To Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OCCF_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_BIOL_NET_INC - Net Income], dtype=object)\n", "Index([FRED.OKETRA - Value], dtype=object)\n", "Index([FRED.MDWPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_QCOR_P_S - Price to Sales Ratio], dtype=object)\n", "Index([FRED.WIHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_OAKR_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.KYEINF - Value], dtype=object)\n", "Index([OFDP.FUTURE_TF1 - Open, OFDP.FUTURE_TF1 - High, OFDP.FUTURE_TF1 - Low, OFDP.FUTURE_TF1 - Settle, OFDP.FUTURE_TF1 - Volume, OFDP.FUTURE_TF1 - Open Interest], dtype=object)\n", "Index([OFDP.FUTURE_FC1 - Open, OFDP.FUTURE_FC1 - High, OFDP.FUTURE_FC1 - Low, OFDP.FUTURE_FC1 - Settle, OFDP.FUTURE_FC1 - Volume, OFDP.FUTURE_FC1 - Open Interest], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_AG_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.MAWART - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCLR_CORREL - Correlation with the Market], dtype=object)\n", "Index([FRED.NVEEDU - Value], dtype=object)\n", "Index([FRED.MDWMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_IDSA_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([OFDP.DMDRN_NVAX_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_FBTT_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([OFDP.DMDRN_SONX_REINV - Reinvestment Amount], dtype=object)\n", "Index([FRED.COEMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_GNA_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_ASFI_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([OFDP.DMDRN_KBK_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_MCD_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_MEXP_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([FRED.HIOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_LARK_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([FRED.NEINFON - Value], dtype=object)\n", "Index([FRED.ILEFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_NATH_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.MONA - Value], dtype=object)\n", "Index([FRED.TNRGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_FCMC_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([OFDP.DMDRN_DPDW_CORREL - Correlation with the Market], dtype=object)\n", "Index([OFDP.DMDRN_IBKR_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([FRED.MDECON - Value], dtype=object)\n", "Index([OFDP.DMDRN_PTSO_NET_INC - Net Income], dtype=object)\n", "Index([FRED.MOWMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_LATD_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OCLG_TOT_DEBT - Total Debt], dtype=object)\n", "Index([FRED.MNTOTLTAX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_MAGS_REV_LAST - Revenues], dtype=object)\n", "Index([OFDP.DMDRN_UNO_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_MAGS_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([FRED.IDEART - Value], dtype=object)\n", "Index([FRED.MIWINF - Value], dtype=object)\n", "Index([FRED.IALEIH - Value], dtype=object)\n", "Index([FRED.ALWINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_GBTVK_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([OFDP.DMDRN_DAIO_DIV - Dividends], dtype=object)\n", "Index([FRED.AKSRVO - Value], dtype=object)\n", "Index([FRED.WAEFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFT_TRAD_VOL - Trading Volume], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.AUSPOPL - Value], dtype=object)\n", "Index([FRED.INEEDU - Value], dtype=object)\n", "Index([FRED.ORWFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCAI_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_GGG_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([OFDP.DMDRN_PSE_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([FRED.IARVAC - Value], dtype=object)\n", "Index([FRED.HIENON - Value], dtype=object)\n", "Index([FRED.TXWTRA - Value], dtype=object)\n", "Index([FRED.PAWTRA - Value], dtype=object)\n", "Index([FRED.LNU04076940 - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_ATDB_TO_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([FRED.ARRGSP - Value], dtype=object)\n", "Index([FRED.MNCONS - Value], dtype=object)\n", "Index([OFDP.DMDRN_BPHX_EV_SALES - EV To Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_CDCO_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_GTA_INV_CAP - Invested Capital], dtype=object)\n", "Index([OFDP.DMDRN_PTSG_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OCCF_EPS_GRO - Growth in Earnings Per Share], dtype=object)\n", "Index([OFDP.DMDRN_HU_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.NMWREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_OBSD_NET_MARG - Net Margin], dtype=object)\n", "Index([FRED.WYTRAD - Value], dtype=object)\n", "Index([OFDP.DMDRN_CRGO_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_CHEZQ_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([OFDP.DMDRN_ARRW_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([OFDP.DMDRN_MUINQ_FIRM_VAL - Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_RPTN_FLOAT - Number of Shares Outstanding], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NYEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_AWH_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_IFTI_P_S - Price to Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_IFSC_P_S - Price to Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_JADE_TOT_DEBT - Total Debt], dtype=object)\n", "Index([FRED.NVWADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_LACO_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([FRED.RIMFG - Value], dtype=object)\n", "Index([OFDP.DMDRN_DAY_TO_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.ALTOTLTAX - Value], dtype=object)\n", "Index([FRED.WVINFON - Value], dtype=object)\n", "Index([OFDP.DMDRN_LUB_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([OFDP.DMDRN_HUBG_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([OFDP.DMDRN_WPP_REV_12M - Trailing 12-month Revenues], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.OHWACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_IGEN_EV - Enterprise Value], dtype=object)\n", "Index([OFDP.DMDRN_HUGH_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([FRED.MOFIRE - Value], dtype=object)\n", "Index([FRED.SCOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_HUG_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([FRED.ALWREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFTI_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.MDLEIH - Value], dtype=object)\n", "Index([FRED.INEFOR - Value], dtype=object)\n", "Index([FRED.ESPPOPL - Value], dtype=object)\n", "Index([OFDP.DMDRN_AMZN_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([OFDP.DMDRN_CDCY_EPS_FWD - Forward Earnings Per Share], dtype=object)\n", "Index([FRED.RIEFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_ELOT_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([FRED.WIEEDU - Value], dtype=object)\n", "Index([FRED.IAWOTH - Value], dtype=object)\n", "Index([FRED.SCEADM - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_IBIZ_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.VTWCON - Value], dtype=object)\n", "Index([FRED.MNWINF - Value], dtype=object)\n", "Index([FRED.MAWINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_PDE_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.DMDRN_NMUS_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_WPI_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.DMDRN_HAZ_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_ABCW_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.WVWHEA - Value], dtype=object)\n", "Index([OFDP.FUTURE_S1 - Open, OFDP.FUTURE_S1 - High, OFDP.FUTURE_S1 - Low, OFDP.FUTURE_S1 - Settle, OFDP.FUTURE_S1 - Volume, OFDP.FUTURE_S1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_OCLR_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([FRED.WISLGRTAX - Value], dtype=object)\n", "Index([FRED.NETOTLTAX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_MTY_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([OFDP.DMDRN_SAH_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([FRED.MAEINF - Value], dtype=object)\n", "Index([FRED.MOALCLICTAX - Value], dtype=object)\n", "Index([FRED.TNEWHO - Value], dtype=object)\n", "Index([FRED.IAEART - Value], dtype=object)\n", "Index([FRED.NCWUTI - Value], dtype=object)\n", "Index([FRED.MTBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_CMHS_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([FRED.ALWTOT - Value], dtype=object)\n", "Index([FRED.WIWPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_ICABY_FIRM_VAL - Firm Value], dtype=object)\n", "Index([FRED.NYPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.OKWINF - Value], dtype=object)\n", "Index([FRED.SCEOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_CXM_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([FRED.COEDUR - Value], dtype=object)\n", "Index([FRED.CTNGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_FBIZ_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([FRED.FLEFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_MAB_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([OFDP.DMDRN_BWR_TO_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([FRED.ININFON - Value], dtype=object)\n", "Index([FRED.MEOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_PVA_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([FRED.UTWREA - Value], dtype=object)\n", "Index([FRED.TNNGSP - Value], dtype=object)\n", "Index([FRED.RIPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_PTZ_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([OFDP.DMDRN_LAXAF_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([FRED.MTCONS - Value], dtype=object)\n", "Index([OFDP.DMDRN_IMGV_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([FRED.UTWTOT - Value], dtype=object)\n", "Index([OFDP.DMDRN_GWO_TO_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([FRED.ILWMIN - Value], dtype=object)\n", "Index([FRED.IAWEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_GOJO_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([OFDP.DMDRN_FCAL_EPS_GRO_EXP - Expected Growth in Earnings Per Share], dtype=object)\n", "Index([FRED.TXWOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_ALLI_EPS_GRO_EXP - Expected Growth in Earnings Per Share], dtype=object)\n", "Index([OFDP.DMDRN_DTSI_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.WVEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_CRNM_REV_TRAIL - Trailing Revenues], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.OHHOWN - Value], dtype=object)\n", "Index([FRED.IDWTOT - Value], dtype=object)\n", "Index([FRED.MNEEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_GPT_NET_INC - Net Income], dtype=object)\n", "Index([OFDP.DMDRN_FBAK_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_CYDX_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([FRED.WVWMIN - Value], dtype=object)\n", "Index([FRED.WIPBSV - Value], dtype=object)\n", "Index([FRED.NMWHEA - Value], dtype=object)\n", "Index([FRED.KSEEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBR_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([FRED.MSWREA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_KBALB_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([FRED.ORFIRE - Value], dtype=object)\n", "Index([FRED.WAETRA - Value], dtype=object)\n", "Index([FRED.WIEADM - Value], dtype=object)\n", "Index([FRED.DEOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_CYD_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.SDPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_VDSI_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([FRED.IAEFOR - Value], dtype=object)\n", "Index([FRED.CTRGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_BKST_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.KYPBSV - Value], dtype=object)\n", "Index([OFDP.DMDRN_WZE_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([FRED.NJTOTLTAX - Value], dtype=object)\n", "Index([FRED.ANFCI - Value], dtype=object)\n", "Index([FRED.RIWOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_RDEN_PE_FWD - Forward PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_SSW_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.INSTHPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_MUI_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([OFDP.DMDRN_MHM_TO_REV_LAST - Revenues], dtype=object)\n", "Index([FRED.NVBPPRIV - Value], dtype=object)\n", "Index([OFDP.DMDRN_NFS_NET_INC - Net Income], dtype=object)\n", "Index([FRED.PAWDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_GB_ROE - Return on Equity], dtype=object)\n", "Index([FRED.FLWUTI - Value], dtype=object)\n", "Index([FRED.CAWMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_MAM_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_EESH_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([OFDP.DMDRN_FBMT_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_CGRE_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([OFDP.DMDRN_TAMB_TOT_DEBT - Total Debt], dtype=object)\n", "Index([OFDP.DMDRN_KBKC_NET_MARG - Net Margin], dtype=object)\n", "Index([FRED.NJSLGRTAX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_WHLM_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([OFDP.DMDRN_AIG_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([FRED.MISLGRTAX - Value], dtype=object)\n", "Index([FRED.NCWTRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_WX_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([FRED.SDPBSV - Value], dtype=object)\n", "Index([OFDP.DMDRN_AHLS_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([OFDP.DMDRN_MALL_ROE - Return on Equity], dtype=object)\n", "Index([FRED.KSNA - Value], dtype=object)\n", "Index([FRED.TXEHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_FBAY_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([OFDP.DMDRN_OCGT_P_S - Price to Sales Ratio], dtype=object)\n", "Index([OFDP.FUTURE_LB1 - Open, OFDP.FUTURE_LB1 - High, OFDP.FUTURE_LB1 - Low, OFDP.FUTURE_LB1 - Settle, OFDP.FUTURE_LB1 - Volume, OFDP.FUTURE_LB1 - Open Interest], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MAEADM - Value], dtype=object)\n", "Index([FRED.SCTOTLTAX - Value], dtype=object)\n", "Index([FRED.FLEHEA - Value], dtype=object)\n", "Index([FRED.MIOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.SDALCLICTAX - Value], dtype=object)\n", "Index([FRED.MAEART - Value], dtype=object)\n", "Index([FRED.LAWWHO - Value], dtype=object)\n", "Index([FRED.DEEART - Value], dtype=object)\n", "Index([FRED.CAPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.VTWEDU - Value], dtype=object)\n", "Index([FRED.KYSLGRTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_HGR_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([FRED.COPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.WAWREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_KAZ_HILO - Hi-Lo Risk], dtype=object)\n", "Index([OFDP.DMDRN_AETC_NET_INC - Net Income], dtype=object)\n", "Index([FRED.MAWACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_YHOO_INSIDER - Insider Holdings], dtype=object)\n", "Index([FRED.NHSTHPI - Value], dtype=object)\n", "Index([FRED.UTTOTLTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_NVAX_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([FRED.NVEDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_FCBS_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([FRED.INWWHO - Value], dtype=object)\n", "Index([FRED.IAEINF - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NVEDUH - Value], dtype=object)\n", "Index([FRED.KSEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_SPLI_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([OFDP.DMDRN_MTXC_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([OFDP.DMDRN_NVDA_ROC - Return on Capital], dtype=object)\n", "Index([FRED.UTEMIN - Value], dtype=object)\n", "Index([FRED.CAINCTAX - Value], dtype=object)\n", "Index([FRED.NHHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_ACXM_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.PAEFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_PTSX_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([OFDP.DMDRN_CPA_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_WSTL_FIRM_VAL - Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_AI_BETA - 3-Year Regression Beta], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_EXCO_CASH - Cash], dtype=object)\n", "Index([FRED.OKECON - Value], dtype=object)\n", "Index([FRED.FLEART - Value], dtype=object)\n", "Index([FRED.ALCONS - Value], dtype=object)\n", "Index([FRED.ALETRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_CAS_REV_LAST - Revenues], dtype=object)\n", "Index([OFDP.DMDRN_OAK_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([FRED.NHWFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_INRG_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([FRED.NMINFON - Value], dtype=object)\n", "Index([OFDP.DMDRN_PUBO_INSIDER - Insider Holdings], dtype=object)\n", "Index([FRED.ILINCTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUM_DIV_YLD - Dividend Yield], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_AG_EPS_GRO - Growth in Earnings Per Share], dtype=object)\n", "Index([FRED.IAWMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_RAM_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_HUFCQ_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_ELRN_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_HALO_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_OCNB_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([OFDP.FUTURE_TY1 - Open, OFDP.FUTURE_TY1 - High, OFDP.FUTURE_TY1 - Low, OFDP.FUTURE_TY1 - Settle, OFDP.FUTURE_TY1 - Volume, OFDP.FUTURE_TY1 - Open Interest], dtype=object)\n", "Index([FRED.FLNGSP - Value], dtype=object)\n", "Index([FRED.MEWOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_MTXC_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([OFDP.DMDRN_EVK_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([FRED.NYRGSP - Value], dtype=object)\n", "Index([FRED.MAPROPTAX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.DEEHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_LLY_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([FRED.ALFIRE - Value], dtype=object)\n", "Index([FRED.MTPROPTAX - Value], dtype=object)\n", "Index([FRED.SDEINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_NBR_NET_INC - Net Income], dtype=object)\n", "Index([OFDP.DMDRN_MIK_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([FRED.OKOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NVWINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_OAOT_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([FRED.ORWADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_FBC_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([OFDP.DMDRN_IFT_FIRM_VAL - Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_RAMV_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([FRED.SDETRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_ADES_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.NEEDUH - Value], dtype=object)\n", "Index([FRED.MSSLGRTAX - Value], dtype=object)\n", "Index([FRED.VTEWHO - Value], dtype=object)\n", "Index([FRED.MSEPRO - Value], dtype=object)\n", "Index([FRED.NYTOTLTAX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_PULB_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OAKT_CORREL - Correlation with the Market], dtype=object)\n", "Index([OFDP.FUTURE_YM1 - Open, OFDP.FUTURE_YM1 - High, OFDP.FUTURE_YM1 - Low, OFDP.FUTURE_YM1 - Settle, OFDP.FUTURE_YM1 - Volume, OFDP.FUTURE_YM1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_EXCL_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.AKWCON - Value], dtype=object)\n", "Index([FRED.WYCONS - Value], dtype=object)\n", "Index([FRED.AZWOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_OAKT_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([FRED.ARCORPINCTX - Value], dtype=object)\n", "Index([FRED.GABP1FH - Value], dtype=object)\n", "Index([OFDP.DMDRN_EXP_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([FRED.TNECON - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCN_MKT_CAP - Market Capitalization], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_BWEB_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([FRED.MNWDUR - Value], dtype=object)\n", "Index([FRED.MAGOVT - Value], dtype=object)\n", "Index([FRED.VAWINF - Value], dtype=object)\n", "Index([FRED.TXEACC - Value], dtype=object)\n", "Index([FRED.MOEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_GNET_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([FRED.WYEDUR - Value], dtype=object)\n", "Index([FRED.IACORPINCTX - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCLGE_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([OFDP.DMDRN_KBK_DIV - Dividends], dtype=object)\n", "Index([FRED.KYEMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_LTR_MKT_DC - Market Debt to Capital Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MEEFIN - Value], dtype=object)\n", "Index([FRED.MESTHPI - Value], dtype=object)\n", "Index([FRED.LNU04076955 - Value], dtype=object)\n", "Index([OFDP.FUTURE_CC1 - Open, OFDP.FUTURE_CC1 - High, OFDP.FUTURE_CC1 - Low, OFDP.FUTURE_CC1 - Settle, OFDP.FUTURE_CC1 - Volume, OFDP.FUTURE_CC1 - Open Interest], dtype=object)\n", "Index([FRED.NVWART - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUFCQ_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.MNWPRO - Value], dtype=object)\n", "Index([FRED.AREADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_TWCP_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_MALL_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.NMCORPINCTX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_KFRC_REV_LAST - Revenues], dtype=object)\n", "Index([FRED.MDHOWN - Value], dtype=object)\n", "Index([FRED.MNWHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_EVSI_REINV - Reinvestment Amount], dtype=object)\n", "Index([FRED.IATRAD - Value], dtype=object)\n", "Index([FRED.KSWEDU - Value], dtype=object)\n", "Index([FRED.VTENON - Value], dtype=object)\n", "Index([OFDP.DMDRN_VSGIQ_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.NEWREA - Value], dtype=object)\n", "Index([FRED.AKWTOT - Value], dtype=object)\n", "Index([OFDP.DMDRN_FTK_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_MTX_PE_TRAIL - Trailing PE Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_MTXC_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([FRED.WIWHEA - Value], dtype=object)\n", "Index([FRED.UTWART - Value], dtype=object)\n", "Index([OFDP.DMDRN_DRRX_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.NJOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MOWOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_CYIO_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([FRED.INWHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFSC_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_HUDS_FIRM_VAL - Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_CERE_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([FRED.CTWFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_EPCT_HILO - Hi-Lo Risk], dtype=object)\n", "Index([OFDP.DMDRN_AFCE_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_RNOW_EFF_TAX_INC - Effective Tax Rate on Income], dtype=object)\n", "Index([OFDP.DMDRN_CSEF_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([OFDP.DMDRN_FCBZ_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([OFDP.DMDRN_YSEK_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_FFLC_TOT_DEBT - Total Debt], dtype=object)\n", "Index([FRED.WIPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NHEART - Value], dtype=object)\n", "Index([OFDP.DMDRN_EMUS_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([FRED.ALALCLICTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_OBSD_CORREL - Correlation with the Market], dtype=object)\n", "Index([OFDP.DMDRN_KBKC_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([FRED.COWFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_SLB_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([FRED.ORMFG - Value], dtype=object)\n", "Index([FRED.MEETRA - Value], dtype=object)\n", "Index([FRED.FLEINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_ABRI_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.DMDRN_HPAC_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.WAEOTH - Value], dtype=object)\n", "Index([FRED.MOPBSV - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_SUNW_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([FRED.VAENON - Value], dtype=object)\n", "Index([OFDP.DMDRN_ATCM_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([FRED.AZWACC - Value], dtype=object)\n", "Index([FRED.NJWTRA - Value], dtype=object)\n", "Index([FRED.IAEHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_FLL_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([OFDP.DMDRN_SIDE_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([FRED.VTWWHO - Value], dtype=object)\n", "Index([FRED.PAWINF - Value], dtype=object)\n", "Index([FRED.OHTRAD - Value], dtype=object)\n", "Index([FRED.RIWMAN - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_HUDS_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([OFDP.DMDRN_WGA_NET_MARG - Net Margin], dtype=object)\n", "Index([OFDP.DMDRN_IFUL_EV - Enterprise Value], dtype=object)\n", "Index([FRED.NENGSP - Value], dtype=object)\n", "Index([FRED.AZWTOT - Value], dtype=object)\n", "Index([OFDP.DMDRN_HAXS_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([FRED.MNNRMN - Value], dtype=object)\n", "Index([OFDP.DMDRN_VSNX_ROC - Return on Capital], dtype=object)\n", "Index([FRED.OKWFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_DBTB_EV_SALES - EV To Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_CVN_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([FRED.IDEACC - Value], dtype=object)\n", "Index([FRED.MNRVAC - Value], dtype=object)\n", "Index([FRED.KYWMIN - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.FUTURE_HG1 - Open, OFDP.FUTURE_HG1 - High, OFDP.FUTURE_HG1 - Low, OFDP.FUTURE_HG1 - Settle, OFDP.FUTURE_HG1 - Volume, OFDP.FUTURE_HG1 - Open Interest], dtype=object)\n", "Index([FRED.TNSLGRTAX - Value], dtype=object)\n", "Index([FRED.MTENON - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCNF_EV - Enterprise Value], dtype=object)\n", "Index([OFDP.DMDRN_IBEM_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([OFDP.DMDRN_GAV_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_KMGG_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([OFDP.DMDRN_LUX_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([OFDP.DMDRN_BITI_PAYOUT - Payout Ratio], dtype=object)\n", "Index([OFDP.FUTURE_NK1 - Open, OFDP.FUTURE_NK1 - High, OFDP.FUTURE_NK1 - Low, OFDP.FUTURE_NK1 - Settle, OFDP.FUTURE_NK1 - Volume, OFDP.FUTURE_NK1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_OCNB_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.ALSTHPI - Value], dtype=object)\n", "Index([FRED.CAWART - Value], dtype=object)\n", "Index([FRED.VAEART - Value], dtype=object)\n", "Index([FRED.CAOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_PGRA_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_ITYBY_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_CZN_CASH - Cash], dtype=object)\n", "Index([FRED.CAALCLICTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCLS_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([FRED.TXWADM - Value], dtype=object)\n", "Index([FRED.VASTHPI - Value], dtype=object)\n", "Index([OFDP.DMDRN_BLX_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([FRED.INNGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCCF_INV_CAP - Invested Capital], dtype=object)\n", "Index([OFDP.DMDRN_R_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_BD_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_PAOS_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_MTXC_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([OFDP.DMDRN_ECLP_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([FRED.BEAMEUR - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.ORPROPTAX - Value], dtype=object)\n", "Index([FRED.KSEFOR - Value], dtype=object)\n", "Index([FRED.NJWMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_HTCO_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([FRED.NVWPRO - Value], dtype=object)\n", "Index([FRED.MTETRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_NUWV_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.OREREA - Value], dtype=object)\n", "Index([FRED.ALWHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUFCQ_INV_CAP - Invested Capital], dtype=object)\n", "Index([OFDP.DMDRN_ANZ_REV_LAST - Revenues], dtype=object)\n", "Index([FRED.COWREA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_GBCB_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_WNC_EPS_FWD - Forward Earnings Per Share], dtype=object)\n", "Index([OFDP.DMDRN_MASI_ROE - Return on Equity], dtype=object)\n", "Index([OFDP.DMDRN_JMAR_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([FRED.ORENON - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFTC_EV - Enterprise Value], dtype=object)\n", "Index([FRED.AKWMAN - Value], dtype=object)\n", "Index([FRED.VTEMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_HULL_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.GACONS - Value], dtype=object)\n", "Index([FRED.WAWHEA - Value], dtype=object)\n", "Index([FRED.NYWFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_SIHI_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([OFDP.DMDRN_SIBC_MKT_DC - Market Debt to Capital Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_DELT_INST_HOLD - Institutional Holdings], dtype=object)\n", "Index([FRED.MTSRVO - Value], dtype=object)\n", "Index([FRED.IDWWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUG_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_EYTC_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.DMDRN_VTN_TO_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_VIP_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([FRED.VTEDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_AFSI_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_EQT_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_AMD_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([OFDP.DMDRN_CGA_EPS_GRO_EXP - Expected Growth in Earnings Per Share], dtype=object)\n", "Index([FRED.MAWTOT - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBK_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_ATCC_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([OFDP.DMDRN_ARCI_EPS_GRO - Growth in Earnings Per Share], dtype=object)\n", "Index([FRED.NDWFOR - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.CTLEIH - Value], dtype=object)\n", "Index([OFDP.DMDRN_NATH_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_OCA_CASH - Cash], dtype=object)\n", "Index([FRED.GAGOVT - Value], dtype=object)\n", "Index([OFDP.DMDRN_WAUW_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.NVEADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_XPOI_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_OIL_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([FRED.MNEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_GGI_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_FCBC_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([OFDP.DMDRN_ETPT_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.KYINCTAX - Value], dtype=object)\n", "Index([FRED.ORCORPINCTX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.WVPROPTAX - Value], dtype=object)\n", "Index([OFDP.FUTURE_ED1 - Open, OFDP.FUTURE_ED1 - High, OFDP.FUTURE_ED1 - Low, OFDP.FUTURE_ED1 - Settle, OFDP.FUTURE_ED1 - Volume, OFDP.FUTURE_ED1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_MAGS_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_SNVT_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([OFDP.DMDRN_RJF_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([FRED.IAWNON - Value], dtype=object)\n", "Index([FRED.MINRMN - Value], dtype=object)\n", "Index([FRED.SCEDUH - Value], dtype=object)\n", "Index([FRED.ALWART - Value], dtype=object)\n", "Index([OFDP.DMDRN_DAP_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([OFDP.DMDRN_HAWK_FIRM_VAL - Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_MAHNE_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([OFDP.FUTURE_SQ1990 - Open, OFDP.FUTURE_SQ1990 - High, OFDP.FUTURE_SQ1990 - Low, OFDP.FUTURE_SQ1990 - Settle, OFDP.FUTURE_SQ1990 - Volume, OFDP.FUTURE_SQ1990 - Open Interest], dtype=object)\n", "Index([FRED.WYEART - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_AGRO_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([FRED.WVWFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_MTYG_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([FRED.NYALCLICTAX - Value], dtype=object)\n", "Index([FRED.TXRVAC - Value], dtype=object)\n", "Index([FRED.NESLGRTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_OC_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([OFDP.DMDRN_CVLT_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([OFDP.DMDRN_IBKR_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_HUF_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_NUR_TO_NET_MARG - Net Margin], dtype=object)\n", "Index([OFDP.DMDRN_OCLR_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_GBTS_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([OFDP.DMDRN_BLT_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_AEGN_INSIDER - Insider Holdings], dtype=object)\n", "Index([OFDP.DMDRN_ATAI_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([FRED.MIEART - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_ESTI_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_LAWS_CORREL - Correlation with the Market], dtype=object)\n", "Index([FRED.HINGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_HAUP_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.NVEART - Value], dtype=object)\n", "Index([FRED.SDEFOR - Value], dtype=object)\n", "Index([FRED.PAPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.INEADM - Value], dtype=object)\n", "Index([FRED.MEWNON - Value], dtype=object)\n", "Index([OFDP.DMDRN_HRL_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([FRED.WVPBSV - Value], dtype=object)\n", "Index([OFDP.DMDRN_EXA_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([OFDP.DMDRN_LAF_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([FRED.MEWADM - Value], dtype=object)\n", "Index([FRED.IAWTOT - Value], dtype=object)\n", "Index([FRED.AKGOVT - Value], dtype=object)\n", "Index([FRED.CTSLGRTAX - Value], dtype=object)\n", "Index([FRED.FLEACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBNK_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([OFDP.DMDRN_HBC_TO_PE_FWD - Forward PE Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.AKPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NCWACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFUE_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([FRED.CTHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_OAKR_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([FRED.WVBP1FH - Value], dtype=object)\n", "Index([FRED.NHEWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFTH_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.MDNGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_ABM_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.IAWFIN - Value], dtype=object)\n", "Index([FRED.MAWTRA - Value], dtype=object)\n", "Index([FRED.MEWDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBCIQ_BOOK_DC - Book Debt to Capital Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.INOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_NWLIA_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_UCMP_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.VAWFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_MUIN_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([OFDP.FUTURE_COT_217 - Producer/Merchant/Processor/User Long, OFDP.FUTURE_COT_217 - Producer/Merchant/Processor/User Short, OFDP.FUTURE_COT_217 - Swap Dealers Long, OFDP.FUTURE_COT_217 - Swap Dealers Short, OFDP.FUTURE_COT_217 - Swap Dealers Spreading, OFDP.FUTURE_COT_217 - Managed Money Long, OFDP.FUTURE_COT_217 - Managed Money Short, OFDP.FUTURE_COT_217 - Managed Money Spreading, OFDP.FUTURE_COT_217 - Other Reportables Long, OFDP.FUTURE_COT_217 - Other Reportables Short, OFDP.FUTURE_COT_217 - Other Reportables Spreading], dtype=object)\n", "Index([FRED.WVCORPINCTX - Value], dtype=object)\n", "Index([OFDP.DMDRN_GAPTQ_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OC_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([FRED.WIWFIN - Value], dtype=object)\n", "Index([FRED.NMWFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_EGR_EPS_GRO_EXP - Expected Growth in Earnings Per Share], dtype=object)\n", "Index([FRED.AREDUR - Value], dtype=object)\n", "Index([OFDP.INDEX_MARKIT_CDXNAIG - Index], dtype=object)\n", "Index([FRED.PAPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_GATT_P_S - Price to Sales Ratio], dtype=object)\n", "Index([FRED.MIRVAC - Value], dtype=object)\n", "Index([OFDP.DMDRN_ASFG_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([OFDP.DMDRN_SOLN_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_ADFS_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([FRED.TXWFOR - Value], dtype=object)\n", "Index([FRED.ALEDUR - Value], dtype=object)\n", "Index([FRED.NHWTOT - Value], dtype=object)\n", "Index([FRED.VAECON - Value], dtype=object)\n", "Index([OFDP.DMDRN_CHQGF_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.RIECON - Value], dtype=object)\n", "Index([FRED.LAWADM - Value], dtype=object)\n", "Index([FRED.ILEMIN - Value], dtype=object)\n", "Index([FRED.ORWFIN - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NYINCTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_DATA_EV - Enterprise Value], dtype=object)\n", "Index([OFDP.DMDRN_CMA_DIV - Dividends], dtype=object)\n", "Index([FRED.ILRVAC - Value], dtype=object)\n", "Index([FRED.NJTRAD - Value], dtype=object)\n", "Index([FRED.MIWNON - Value], dtype=object)\n", "Index([FRED.IAWCON - Value], dtype=object)\n", "Index([FRED.VAEPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_ESST_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([OFDP.DMDRN_DCBF_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_HUGH_HILO - Hi-Lo Risk], dtype=object)\n", "Index([OFDP.DMDRN_QFAB_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([FRED.MNEHEA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_FPL_TO_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([OFDP.DMDRN_NWIN_REV_LAST - Revenues], dtype=object)\n", "Index([OFDP.DMDRN_KBKC_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_IFTI_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_AIV_OP_MARG - Pre-Tax Operating Margin], dtype=object)\n", "Index([OFDP.FUTURE_RRH1988 - Open, OFDP.FUTURE_RRH1988 - High, OFDP.FUTURE_RRH1988 - Low, OFDP.FUTURE_RRH1988 - Settle, OFDP.FUTURE_RRH1988 - Volume, OFDP.FUTURE_RRH1988 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_MAC_PE_FWD - Forward PE Ratio], dtype=object)\n", "Index([FRED.HITOTLTAX - Value], dtype=object)\n", "Index([FRED.NYPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_IBKR_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([OFDP.DMDRN_AUTC_PAYOUT - Payout Ratio], dtype=object)\n", "Index([OFDP.DMDRN_LATD_PAYOUT - Payout Ratio], dtype=object)\n", "Index([FRED.MTWWHO - Value], dtype=object)\n", "Index([FRED.LAEHEA - Value], dtype=object)\n", "Index([FRED.NELEIH - Value], dtype=object)\n", "Index([FRED.MIWTOT - Value], dtype=object)\n", "Index([OFDP.DMDRN_AKS_PE_G - PE to Growth Ratio], dtype=object)\n", "Index([FRED.TNWHEA - Value], dtype=object)\n", "Index([FRED.ILMFG - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBFP_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([FRED.NHGOVT - Value], dtype=object)\n", "Index([OFDP.DMDRN_CFCP_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_NENG_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([FRED.NCEEDU - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_ASPX_P_S - Price to Sales Ratio], dtype=object)\n", "Index([FRED.MOWNON - Value], dtype=object)\n", "Index([OFDP.DMDRN_NAP_EPS_GRO_EXP - Expected Growth in Earnings Per Share], dtype=object)\n", "Index([OFDP.DMDRN_NZ_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([OFDP.DMDRN_KBL_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([FRED.COMPUTSA - Value], dtype=object)\n", "Index([FRED.UTSLGRTAX - Value], dtype=object)\n", "Index([OFDP.FUTURE_C2 - Open, OFDP.FUTURE_C2 - High, OFDP.FUTURE_C2 - Low, OFDP.FUTURE_C2 - Settle, OFDP.FUTURE_C2 - Volume, OFDP.FUTURE_C2 - Open Interest], dtype=object)\n", "Index([FRED.ARWTRA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.KYWDUR - Value], dtype=object)\n", "Index([FRED.COEFIN - Value], dtype=object)\n", "Index([FRED.USAPOPL - Value], dtype=object)\n", "Index([OFDP.FUTURE_FCH2003 - Open, OFDP.FUTURE_FCH2003 - High, OFDP.FUTURE_FCH2003 - Low, OFDP.FUTURE_FCH2003 - Settle, OFDP.FUTURE_FCH2003 - Volume, OFDP.FUTURE_FCH2003 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_HULL_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([FRED.KYWTRA - Value], dtype=object)\n", "Index([FRED.INWINF - Value], dtype=object)\n", "Index([FRED.NDWTRA - Value], dtype=object)\n", "Index([FRED.OKHOWN - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_PPRW_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([OFDP.DMDRN_KBL_INV_CAP - Invested Capital], dtype=object)\n", "Index([FRED.WYEFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_BRS_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_DAI_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_SNWL_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_TLM_TO_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([FRED.OKFIRE - Value], dtype=object)\n", "Index([FRED.MONGSP - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBKC_BETA_VL - Value Line Beta], dtype=object)\n", "Index([FRED.WIGOVT - Value], dtype=object)\n", "Index([FRED.INEFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_GTW_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.RIEFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_GNET_HILO - Hi-Lo Risk], dtype=object)\n", "Index([FRED.MIWEDU - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NCWINF - Value], dtype=object)\n", "Index([FRED.CACONS - Value], dtype=object)\n", "Index([OFDP.DMDRN_VIVO_MKT_CAP - Market Capitalization], dtype=object)\n", "Index([FRED.NMPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_MMPT_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([OFDP.DMDRN_TUNE_P_S - Price to Sales Ratio], dtype=object)\n", "Index([FRED.GAENON - Value], dtype=object)\n", "Index([FRED.AKWART - Value], dtype=object)\n", "Index([OFDP.DMDRN_APC_BETA_VL - Value Line Beta], dtype=object)\n", "Index([FRED.NVWUTI - Value], dtype=object)\n", "Index([FRED.ARWART - Value], dtype=object)\n", "Index([OFDP.DMDRN_GPRX_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_ALCO_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_IFUE_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([FRED.OKWTRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_WGO_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_CY_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([OFDP.FUTURE_SF1 - Open, OFDP.FUTURE_SF1 - High, OFDP.FUTURE_SF1 - Low, OFDP.FUTURE_SF1 - Settle, OFDP.FUTURE_SF1 - Volume, OFDP.FUTURE_SF1 - Open Interest], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_PLCE_BOOK_DC - Book Debt to Capital Ratio], dtype=object)\n", "Index([FRED.NVSLGRTAX - Value], dtype=object)\n", "Index([FRED.NYWOTH - Value], dtype=object)\n", "Index([FRED.MEALCLICTAX - Value], dtype=object)\n", "Index([FRED.SDEWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_SNTI_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_SOLF_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([FRED.VAWTRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_QBAK_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([FRED.CAHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBKC_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([FRED.VTSLGRTAX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_KBKC_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_IFTH_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([OFDP.DMDRN_HUG_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_NWLIA_CASH - Cash], dtype=object)\n", "Index([FRED.WYSRVO - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUGH_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([FRED.GDP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.LANA - Value], dtype=object)\n", "Index([FRED.HISLGRTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_PUBO_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_PUMA_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([OFDP.DMDRN_NVTP_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([OFDP.DMDRN_HUFCQ_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OCAS_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([OFDP.DMDRN_MAGS_REINV - Reinvestment Amount], dtype=object)\n", "Index([FRED.NVEACC - Value], dtype=object)\n", "Index([FRED.VAWMAN - Value], dtype=object)\n", "Index([FRED.ORGOVT - Value], dtype=object)\n", "Index([FRED.ILPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NHEDUH - Value], dtype=object)\n", "Index([FRED.MENRMN - Value], dtype=object)\n", "Index([FRED.DCSTHPI - Value], dtype=object)\n", "Index([OFDP.DMDRN_DSET_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([FRED.NDCORPINCTX - Value], dtype=object)\n", "Index([OFDP.DMDRN_IGC_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_CFFX_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([OFDP.DMDRN_OPMC_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([FRED.ILEDUR - Value], dtype=object)\n", "Index([FRED.DEWOTH - Value], dtype=object)\n", "Index([FRED.ARPROPTAX - Value], dtype=object)\n", "Index([FRED.NHEDUR - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_ARRW_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([FRED.KYECON - Value], dtype=object)\n", "Index([FRED.WYWCON - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBH_FIRM_VAL - Firm Value], dtype=object)\n", "Index([FRED.INWADM - Value], dtype=object)\n", "Index([FRED.TNEEDU - Value], dtype=object)\n", "Index([FRED.WVEPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCGT_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([FRED.WITOTLTAX - Value], dtype=object)\n", "Index([FRED.MDPROPTAX - Value], dtype=object)\n", "Index([FRED.OKTRAD - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_PPD_CORREL - Correlation with the Market], dtype=object)\n", "Index([FRED.OHSLGRTAX - Value], dtype=object)\n", "Index([FRED.NJWFOR - Value], dtype=object)\n", "Index([FRED.WISRVO - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBH_BETA_VL - Value Line Beta], dtype=object)\n", "Index([FRED.OHWADM - Value], dtype=object)\n", "Index([FRED.RIWADM - Value], dtype=object)\n", "Index([FRED.NMBP1FH - Value], dtype=object)\n", "Index([OFDP.DMDRN_FPWBQ_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([OFDP.DMDRN_OCLS_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([FRED.GAECON - Value], dtype=object)\n", "Index([FRED.UTECON - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NJWTOT - Value], dtype=object)\n", "Index([OFDP.DMDRN_NWAY_HILO - Hi-Lo Risk], dtype=object)\n", "Index([FRED.SCRVAC - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBCP_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.DEHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_PDL_TO_EPS_GRO_EXP - Expected Growth in Earnings Per Share], dtype=object)\n", "Index([FRED.SDWHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_CPB_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([FRED.MOEFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBCS_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.HILEIH - Value], dtype=object)\n", "Index([FRED.MEENON - Value], dtype=object)\n", "Index([FRED.TXWINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBCS_EFF_TAX - Effective Tax Rate], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NEWPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_MTXC_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([OFDP.DMDRN_MTY_NET_INC - Net Income], dtype=object)\n", "Index([OFDP.DMDRN_PRMO_CASH - Cash], dtype=object)\n", "Index([FRED.MAEOTH - Value], dtype=object)\n", "Index([FRED.IAINCTAX - Value], dtype=object)\n", "Index([FRED.RIEDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_RAM_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_AHLS_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_HAYN_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([FRED.FLWWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_WINN_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([FRED.AKMFG - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFUL_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([FRED.IDETRA - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_DOVP_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_SNTK_INSIDER - Insider Holdings], dtype=object)\n", "Index([OFDP.DMDRN_HBY_FIRM_VAL - Firm Value], dtype=object)\n", "Index([FRED.VTEOTH - Value], dtype=object)\n", "Index([FRED.NEEACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_FCBZ_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.SCHOWN - Value], dtype=object)\n", "Index([OFDP.DMDRN_WSNG_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([OFDP.DMDRN_SKIL_DEPREC - Depreciation], dtype=object)\n", "Index([FRED.IAWUTI - Value], dtype=object)\n", "Index([FRED.KSWFIN - Value], dtype=object)\n", "Index([FRED.PSAVERT - Value], dtype=object)\n", "Index([FRED.ITAPOPL - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.WIEMIN - Value], dtype=object)\n", "Index([FRED.NYEWHO - Value], dtype=object)\n", "Index([FRED.RIEHEA - Value], dtype=object)\n", "Index([FRED.MEGOVT - Value], dtype=object)\n", "Index([OFDP.DMDRN_HYPR_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([FRED.MSEMIN - Value], dtype=object)\n", "Index([FRED.MAWNON - Value], dtype=object)\n", "Index([FRED.ILCONS - Value], dtype=object)\n", "Index([OFDP.FUTURE_PAX2011 - Open, OFDP.FUTURE_PAX2011 - High, OFDP.FUTURE_PAX2011 - Low, OFDP.FUTURE_PAX2011 - Settle, OFDP.FUTURE_PAX2011 - Volume, OFDP.FUTURE_PAX2011 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_DORB_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_FBBC_BETA - 3-Year Regression Beta], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.GAWFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_WRDP_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([FRED.GAWPRO - Value], dtype=object)\n", "Index([FRED.MAEUTI - Value], dtype=object)\n", "Index([FRED.KSOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MNSLGRTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_EXE_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_EXBT_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_MTZ_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.FUTURE_CZ2013 - Open, OFDP.FUTURE_CZ2013 - High, OFDP.FUTURE_CZ2013 - Low, OFDP.FUTURE_CZ2013 - Settle, OFDP.FUTURE_CZ2013 - Volume, OFDP.FUTURE_CZ2013 - Open Interest], dtype=object)\n", "Index([OFDP.FUTURE_CZ2012 - Open, OFDP.FUTURE_CZ2012 - High, OFDP.FUTURE_CZ2012 - Low, OFDP.FUTURE_CZ2012 - Settle, OFDP.FUTURE_CZ2012 - Volume, OFDP.FUTURE_CZ2012 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_OCAS_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([OFDP.DMDRN_MU_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_CTOO_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_CEO_TO_PAYOUT - Payout Ratio], dtype=object)\n", "Index([OFDP.DMDRN_SALD_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([FRED.IAWPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_NTESE_DEPREC - Depreciation], dtype=object)\n", "Index([FRED.NVWTOT - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUG_MKT_DE - Market Debt to Equity Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.TNWPRO - Value], dtype=object)\n", "Index([FRED.NVPOP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.IDENON - Value], dtype=object)\n", "Index([OFDP.DMDRN_KAZ_REINV - Reinvestment Amount], dtype=object)\n", "Index([FRED.MEMFG - Value], dtype=object)\n", "Index([FRED.OKCORPINCTX - Value], dtype=object)\n", "Index([FRED.MSWINF - Value], dtype=object)\n", "Index([FRED.NCWDUR - Value], dtype=object)\n", "Index([FRED.INTOTLTAX - Value], dtype=object)\n", "Index([FRED.OHEHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_MAGY_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([OFDP.DMDRN_PLGC_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([OFDP.DMDRN_ELOYD_EV - Enterprise Value], dtype=object)\n", "Index([FRED.AKWMIN - Value], dtype=object)\n", "Index([FRED.VAWUTI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_DCOM_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_UWZ_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([FRED.UTRVAC - Value], dtype=object)\n", "Index([FRED.ARWWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBK_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([FRED.MIPCPI - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.HITRAD - Value], dtype=object)\n", "Index([OFDP.FUTURE_ES1 - Open, OFDP.FUTURE_ES1 - High, OFDP.FUTURE_ES1 - Low, OFDP.FUTURE_ES1 - Settle, OFDP.FUTURE_ES1 - Volume, OFDP.FUTURE_ES1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_PNFT_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_AHAA_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.FUTURE_CN2013 - Open, OFDP.FUTURE_CN2013 - High, OFDP.FUTURE_CN2013 - Low, OFDP.FUTURE_CN2013 - Settle, OFDP.FUTURE_CN2013 - Volume, OFDP.FUTURE_CN2013 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_OSTK_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([FRED.NMEACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_EPEX_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([FRED.OKEMIN - Value], dtype=object)\n", "Index([FRED.WAWFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_DNR_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_SOMN_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([OFDP.DMDRN_PBTC_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_ATGN_BETA - 3-Year Regression Beta], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.WIEDUH - Value], dtype=object)\n", "Index([FRED.WYEHEA - Value], dtype=object)\n", "Index([FRED.INEUTI - Value], dtype=object)\n", "Index([FRED.LNU04024232 - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_SHLO_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([FRED.MIWDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_CCIX_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_NRNTQ_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([FRED.WIRVAC - Value], dtype=object)\n", "Index([FRED.VTFIRE - Value], dtype=object)\n", "Index([FRED.TNWEDU - Value], dtype=object)\n", "Index([FRED.OHWUTI - Value], dtype=object)\n", "Index([FRED.WIEDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_NUR_TO_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_RAQC_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([FRED.NMEFIN - Value], dtype=object)\n", "Index([FRED.ALWACC - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_HAKI_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([FRED.WANGSP - Value], dtype=object)\n", "Index([FRED.FLWDUR - Value], dtype=object)\n", "Index([FRED.KYEFIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFUL_NET_INC - Net Income], dtype=object)\n", "Index([OFDP.DMDRN_AMEV_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.SCEFOR - Value], dtype=object)\n", "Index([OFDP.FUTURE_DA1 - Open, OFDP.FUTURE_DA1 - High, OFDP.FUTURE_DA1 - Low, OFDP.FUTURE_DA1 - Settle, OFDP.FUTURE_DA1 - Volume, OFDP.FUTURE_DA1 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_OCLR_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([FRED.OHWART - Value], dtype=object)\n", "Index([OFDP.DMDRN_TTM_EV_SALES - EV To Sales Ratio], dtype=object)\n", "Index([FRED.OKENON - Value], dtype=object)\n", "Index([FRED.IDEADM - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_HAL_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_IBCP_PAYOUT - Payout Ratio], dtype=object)\n", "Index([FRED.NEHOWN - Value], dtype=object)\n", "Index([FRED.DCNA - Value], dtype=object)\n", "Index([OFDP.DMDRN_OC_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_ABOA_TO_REV_LAST - Revenues], dtype=object)\n", "Index([FRED.NYEEDU - Value], dtype=object)\n", "Index([FRED.SCCORPINCTX - Value], dtype=object)\n", "Index([FRED.AKWACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_GNTA_NET_MARG - Net Margin], dtype=object)\n", "Index([OFDP.DMDRN_OCLG_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_FNLYQ_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([OFDP.DMDRN_OBSD_ROE - Return on Equity], dtype=object)\n", "Index([OFDP.DMDRN_NATL_EFF_TAX_INC - Effective Tax Rate on Income], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.PASTHPI - Value], dtype=object)\n", "Index([OFDP.DMDRN_PRU_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([FRED.ILWART - Value], dtype=object)\n", "Index([FRED.VTWPRO - Value], dtype=object)\n", "Index([FRED.NYWNON - Value], dtype=object)\n", "Index([OFDP.DMDRN_CVST_EV_SALES - EV To Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_KBH_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([FRED.TNEACC - Value], dtype=object)\n", "Index([FRED.VAETRA - Value], dtype=object)\n", "Index([FRED.VTLEIH - Value], dtype=object)\n", "Index([FRED.MDMFG - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.WIWMAN - Value], dtype=object)\n", "Index([OFDP.FUTURE_B1 - Open, OFDP.FUTURE_B1 - High, OFDP.FUTURE_B1 - Low, OFDP.FUTURE_B1 - Settle, OFDP.FUTURE_B1 - Volume, OFDP.FUTURE_B1 - Open Interest], dtype=object)\n", "Index([FRED.WIWEDU - Value], dtype=object)\n", "Index([FRED.RIWFIN - Value], dtype=object)\n", "Index([FRED.ILEREA - Value], dtype=object)\n", "Index([FRED.TOTALSL - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_HAXS_NET_MARG - Net Margin], dtype=object)\n", "Index([OFDP.DMDRN_RXII_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_EXBD_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([FRED.WIWTOT - Value], dtype=object)\n", "Index([OFDP.DMDRN_LUV_EV_SALES - EV To Sales Ratio], dtype=object)\n", "Index([FRED.CAWINF - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUGH_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([FRED.MTNRMN - Value], dtype=object)\n", "Index([OFDP.DMDRN_FBIZ_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_NGHO_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([OFDP.DMDRN_FCBC_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_MUIN_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.DEWINF - Value], dtype=object)\n", "Index([FRED.CORGSP - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_TONEQ_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_CIEN_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_MTXC_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([OFDP.DMDRN_ATLC_BV_EQTY - Book Value of Equity], dtype=object)\n", "Index([FRED.METRAD - Value], dtype=object)\n", "Index([OFDP.DMDRN_EFLT_P_S - Price to Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_RTNC_ROC - Return on Capital], dtype=object)\n", "Index([OFDP.DMDRN_MUI_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_KBAY_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([FRED.MIPBSV - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUFCQ_ROE - Return on Equity], dtype=object)\n", "Index([FRED.INWFOR - Value], dtype=object)\n", "Index([FRED.MIFIRE - Value], dtype=object)\n", "Index([OFDP.DMDRN_PCCI_BETA_VL - Value Line Beta], dtype=object)\n", "Index([OFDP.FUTURE_KCN1977 - Open, OFDP.FUTURE_KCN1977 - High, OFDP.FUTURE_KCN1977 - Low, OFDP.FUTURE_KCN1977 - Settle, OFDP.FUTURE_KCN1977 - Volume, OFDP.FUTURE_KCN1977 - Open Interest], dtype=object)\n", "Index([OFDP.DMDRN_AKRN_PE_FWD - Forward PE Ratio], dtype=object)\n", "Index([FRED.KSWOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_NTCT_EV_EBITDA - EV to EBITDA Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.IAEMAN - Value], dtype=object)\n", "Index([FRED.WACONS - Value], dtype=object)\n", "Index([OFDP.DMDRN_ANDS_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.DMDRN_IFUE_NCWC_REV - Non-Cash Working Capital as Percentage of Revenues], dtype=object)\n", "Index([OFDP.FUTURE_PA1 - Open, OFDP.FUTURE_PA1 - High, OFDP.FUTURE_PA1 - Low, OFDP.FUTURE_PA1 - Settle, OFDP.FUTURE_PA1 - Volume, OFDP.FUTURE_PA1 - Open Interest], dtype=object)\n", "Index([FRED.PAEOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCC_EPS_GRO - Growth in Earnings Per Share], dtype=object)\n", "Index([OFDP.DMDRN_EXDS_INV_CAP - Invested Capital], dtype=object)\n", "Index([FRED.NEGOVT - Value], dtype=object)\n", "Index([FRED.FLTRAD - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCCF_HILO - Hi-Lo Risk], dtype=object)\n", "Index([FRED.NDINFON - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NYEPRO - Value], dtype=object)\n", "Index([OFDP.DMDRN_KAL_MKT_DC - Market Debt to Capital Ratio], dtype=object)\n", "Index([FRED.TXSLGRTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUDS_NET_INC - Net Income], dtype=object)\n", "Index([FRED.INDPRO - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.DEFIRE - Value], dtype=object)\n", "Index([OFDP.DMDRN_CPTS_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([OFDP.DMDRN_ANTXQ_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_NJR_FLOAT - Number of Shares Outstanding], dtype=object)\n", "Index([FRED.OHCONS - Value], dtype=object)\n", "Index([FRED.MIWMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_OC_EFF_TAX - Effective Tax Rate], dtype=object)\n", "Index([OFDP.DMDRN_NWAC_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([FRED.NHOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_DAN_EPS_FWD - Forward Earnings Per Share], dtype=object)\n", "Index([FRED.NMSRVO - Value], dtype=object)\n", "Index([OFDP.DMDRN_EFX_TO_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([FRED.WVEMAN - Value], dtype=object)\n", "Index([FRED.MOWWHO - Value], dtype=object)\n", "Index([FRED.VTWNON - Value], dtype=object)\n", "Index([FRED.UTRGSP - Value], dtype=object)\n", "Index([FRED.DETOTLTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_NWS_REV_GRO_EXP - Expected Growth in Revenues], dtype=object)\n", "Index([OFDP.DMDRN_WZR_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_ETHT_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_BEAS_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_CATM_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([OFDP.DMDRN_OCLS_NET_INC_TRAIL - Trailing Net Income], dtype=object)\n", "Index([FRED.KSEFIN - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.WYRGSP - Value], dtype=object)\n", "Index([FRED.AZEWHO - Value], dtype=object)\n", "Index([FRED.LAECON - Value], dtype=object)\n", "Index([FRED.WIECON - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUDS_ROC - Return on Capital], dtype=object)\n", "Index([OFDP.DMDRN_KOSN_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.WYWHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_CLNY_REV_12M - Trailing 12-month Revenues], dtype=object)\n", "Index([OFDP.DMDRN_MTY_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.NDOTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_GATT_FIRM_VAL - Firm Value], dtype=object)\n", "Index([FRED.CAEEDU - Value], dtype=object)\n", "Index([FRED.ARNGSP - Value], dtype=object)\n", "Index([FRED.MTTOTLTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_AETC_BETA - 3-Year Regression Beta], dtype=object)\n", "Index([OFDP.DMDRN_CYH_FCFF - Free Cash Flow to Firm], dtype=object)\n", "Index([OFDP.DMDRN_EXAR_INV_CAP - Invested Capital], dtype=object)\n", "Index([FRED.LNU04032223 - Value], dtype=object)\n", "Index([FRED.SDWADM - Value], dtype=object)\n", "Index([FRED.LNU04032220 - Value], dtype=object)\n", "Index([OFDP.DMDRN_SNVT_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([OFDP.DMDRN_CXIA_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_OCC_HILO - Hi-Lo Risk], dtype=object)\n", "Index([FRED.NEEART - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_NUWV_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([OFDP.DMDRN_OCCF_CASH - Cash], dtype=object)\n", "Index([FRED.DEEACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_MUI_INV_CAP - Invested Capital], dtype=object)\n", "Index([FRED.KYWOTH - Value], dtype=object)\n", "Index([FRED.NVEMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_OAKR_HILO - Hi-Lo Risk], dtype=object)\n", "Index([FRED.OKWFOR - Value], dtype=object)\n", "Index([OFDP.DMDRN_AIMC_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.BASE - Value], dtype=object)\n", "Index([OFDP.DMDRN_SQST_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([FRED.ARWTOT - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.WIWART - Value], dtype=object)\n", "Index([FRED.NJEWHO - Value], dtype=object)\n", "Index([FRED.TXNRMN - Value], dtype=object)\n", "Index([FRED.ILWWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_DSUP_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_KAZ_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_AHL_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([OFDP.DMDRN_DMCO_EV_EBIT - EV to EBIT Ratio], dtype=object)\n", "Index([OFDP.DMDRN_WLKF_BETA_VL - Value Line Beta], dtype=object)\n", "Index([FRED.DESRVO - Value], dtype=object)\n", "Index([OFDP.DMDRN_NCGHE_INSIDER - Insider Holdings], dtype=object)\n", "Index([OFDP.DMDRN_ITP_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_MKTAY_EV_SALESTR - EV to Trailing Sales Ratio], dtype=object)\n", "Index([FRED.NYCORPINCTX - Value], dtype=object)\n", "Index([OFDP.DMDRN_GPEH_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([FRED.MDWEDU - Value], dtype=object)\n", "Index([FRED.DEECON - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.IAETRA - Value], dtype=object)\n", "Index([FRED.NDEOTH - Value], dtype=object)\n", "Index([FRED.KSETRA - Value], dtype=object)\n", "Index([OFDP.DMDRN_MAHNE_DIV - Dividends], dtype=object)\n", "Index([OFDP.DMDRN_IFX_DIV - Dividends], dtype=object)\n", "Index([FRED.HISRVO - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUGH_ROC - Return on Capital], dtype=object)\n", "Index([FRED.KYBPPRIVSA - Value], dtype=object)\n", "Index([FRED.FLSRVO - Value], dtype=object)\n", "Index([FRED.SCEEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_MWRK_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([FRED.HIINCTAX - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NDETRA - Value], dtype=object)\n", "Index([FRED.WYEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_RANKY_REV_LAST - Revenues], dtype=object)\n", "Index([OFDP.DMDRN_HUMP_REV_LAST - Revenues], dtype=object)\n", "Index([OFDP.DMDRN_BOY_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([FRED.UTBPPRIV - Value], dtype=object)\n", "Index([OFDP.DMDRN_IBKR_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([FRED.ARSTHPI - Value], dtype=object)\n", "Index([OFDP.FUTURE_SF1997 - Open, OFDP.FUTURE_SF1997 - High, OFDP.FUTURE_SF1997 - Low, OFDP.FUTURE_SF1997 - Settle, OFDP.FUTURE_SF1997 - Volume, OFDP.FUTURE_SF1997 - Open Interest], dtype=object)\n", "Index([FRED.MSSRVO - Value], dtype=object)\n", "Index([OFDP.DMDRN_MAHNE_SGA - Sales General and Administration Expenses], dtype=object)\n", "Index([FRED.WAWART - Value], dtype=object)\n", "Index([FRED.WAEDUR - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.MEWACC - Value], dtype=object)\n", "Index([FRED.MANA - Value], dtype=object)\n", "Index([OFDP.DMDRN_NP_P_S - Price to Sales Ratio], dtype=object)\n", "Index([OFDP.DMDRN_IMGV_ROC - Return on Capital], dtype=object)\n", "Index([FRED.NEWUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFTA_CASH - Cash], dtype=object)\n", "Index([OFDP.DMDRN_MIC_EPS_GRO_EXP - Expected Growth in Earnings Per Share], dtype=object)\n", "Index([OFDP.DMDRN_HIL_CASH_ASSETS - Cash as Percentage of Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_FAVE_EBIT_1T - EBIT for Previous Period], dtype=object)\n", "Index([FRED.RIWUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_HAWK_TRAD_VOL - Trading Volume], dtype=object)\n", "Index([FRED.LAEFOR - Value], dtype=object)\n", "Index([FRED.UTWFIN - Value], dtype=object)\n", "Index([FRED.UTWDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_SNVT_HILO - Hi-Lo Risk], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_AMSGA_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_MIK_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([OFDP.DMDRN_NRD_TO_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([FRED.AREREA - Value], dtype=object)\n", "Index([FRED.PCEND - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFX_NET_MARG - Net Margin], dtype=object)\n", "Index([OFDP.DMDRN_KCG_REINV_RATE - Reinvestment Rate], dtype=object)\n", "Index([FRED.CUSR0000SAH3 - Value], dtype=object)\n", "Index([FRED.NMEART - Value], dtype=object)\n", "Index([FRED.MSEACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_FCB_EBITDA - Earnings Before Interest Taxes Depreciation and Amortization], dtype=object)\n", "Index([FRED.OHEART - Value], dtype=object)\n", "Index([FRED.MTWADM - Value], dtype=object)\n", "Index([OFDP.DMDRN_WGLE_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([FRED.TNWDUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUDS_TOT_DEBT - Total Debt], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.ARPBSV - Value], dtype=object)\n", "Index([FRED.NCETRA - Value], dtype=object)\n", "Index([FRED.MSWADM - Value], dtype=object)\n", "Index([FRED.NCEADM - Value], dtype=object)\n", "Index([FRED.NEWHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_HAYZ_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([FRED.WAEMIN - Value], dtype=object)\n", "Index([FRED.AZEOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_LAWE_ROC - Return on Capital], dtype=object)\n", "Index([OFDP.DMDRN_FLOW_EFF_TAX_INC - Effective Tax Rate on Income], dtype=object)\n", "Index([OFDP.DMDRN_HTTP_DIV_YLD - Dividend Yield], dtype=object)\n", "Index([FRED.NCPBSV - Value], dtype=object)\n", "Index([OFDP.DMDRN_CKH_EV_CAP - EV to Invested Capital Ratio], dtype=object)\n", "Index([FRED.SDEHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_MIICF_PAYOUT - Payout Ratio], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_OPWV_EV - Enterprise Value], dtype=object)\n", "Index([FRED.SCEHEA - Value], dtype=object)\n", "Index([OFDP.DMDRN_QCRH_EV - Enterprise Value], dtype=object)\n", "Index([FRED.NEWCON - Value], dtype=object)\n", "Index([FRED.GAWWHO - Value], dtype=object)\n", "Index([FRED.VAEACC - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCCM_NET_MARG - Net Margin], dtype=object)\n", "Index([OFDP.DMDRN_HUMP_ROC - Return on Capital], dtype=object)\n", "Index([OFDP.FUTURE_CH2013 - Open, OFDP.FUTURE_CH2013 - High, OFDP.FUTURE_CH2013 - Low, OFDP.FUTURE_CH2013 - Settle, OFDP.FUTURE_CH2013 - Volume, OFDP.FUTURE_CH2013 - Open Interest], dtype=object)\n", "Index([FRED.DETRAD - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFST_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_SBUX_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([FRED.CAWADM - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_HUG_REV_GRO_EXP - Expected Growth in Revenues], dtype=object)\n", "Index([OFDP.DMDRN_GAV_FIRM_VAL - Firm Value], dtype=object)\n", "Index([FRED.NHEEDU - Value], dtype=object)\n", "Index([FRED.IDEREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBK_EBIT - Earnings Before Interest and Taxes], dtype=object)\n", "Index([OFDP.DMDRN_HAUS_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.WARGSP - Value], dtype=object)\n", "Index([FRED.MIEREA - Value], dtype=object)\n", "Index([FRED.MDINCTAX - Value], dtype=object)\n", "Index([FRED.VAGOVT - Value], dtype=object)\n", "Index([FRED.NHSRVO - Value], dtype=object)\n", "Index([OFDP.DMDRN_OCLGE_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([FRED.MESRVO - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_KCLI_INTANG_TOT - Ratio of Intangible Assets to Total Assets], dtype=object)\n", "Index([FRED.MDWREA - Value], dtype=object)\n", "Index([OFDP.DMDRN_FBNK_CAPEX - Capital Expenditures], dtype=object)\n", "Index([OFDP.DMDRN_FECC_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([OFDP.DMDRN_IGT_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_HAWK_REV_TRAIL - Trailing Revenues], dtype=object)\n", "Index([OFDP.DMDRN_BIO_NCWC - Non-Cash Working Capital], dtype=object)\n", "Index([FRED.IDBPPRIVSA - Value], dtype=object)\n", "Index([OFDP.DMDRN_MFLO_PE_TRAIL - Trailing PE Ratio], dtype=object)\n", "Index([OFDP.DMDRN_MAHNE_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.SCWFIN - Value], dtype=object)\n", "Index([FRED.OHUR - Value], dtype=object)\n", "Index([OFDP.DMDRN_CHD_REV_GRO - Previous Year Growth in Revenues], dtype=object)\n", "Index([OFDP.DMDRN_MAGY_CAPEX - Capital Expenditures], dtype=object)\n", "Index([FRED.LALEIH - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.SCWOTH - Value], dtype=object)\n", "Index([OFDP.DMDRN_VPTR_NET_MARG - Net Margin], dtype=object)\n", "Index([FRED.OKWMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_IFTH_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_AE_CHG_NCWC - Change in Non-Cash Working Capital], dtype=object)\n", "Index([FRED.ILHOWN - Value], dtype=object)\n", "Index([FRED.RISLGRTAX - Value], dtype=object)\n", "Index([OFDP.DMDRN_KBFP_TOT_DEBT - Total Debt], dtype=object)\n", "Index([OFDP.DMDRN_OCCM_DIV - Dividends], dtype=object)\n", "Index([FRED.WIMFG - Value], dtype=object)\n", "Index([FRED.LAMFG - Value], dtype=object)\n", "Index([OFDP.DMDRN_PLI_FIXED_TOT - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([OFDP.DMDRN_TWAV_EV_EBITDA - EV to EBITDA Ratio], dtype=object)\n", "Index([FRED.MOWCON - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_OCC_REINV - Reinvestment Amount], dtype=object)\n", "Index([OFDP.DMDRN_MTZ_FIRM_VAL - Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_DSS_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_PTSG_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_PCTH_BV_ASSETS - Book Value of Assets], dtype=object)\n", "Index([FRED.WABPPRIVSA - Value], dtype=object)\n", "Index([FRED.SCEART - Value], dtype=object)\n", "Index([OFDP.DMDRN_POSOQ_DEPREC - Depreciation], dtype=object)\n", "Index([FRED.MDPBSV - Value], dtype=object)\n", "Index([OFDP.DMDRN_PAAS_MKT_DE - Market Debt to Equity Ratio], dtype=object)\n", "Index([OFDP.DMDRN_LAYN_CASH_REV - Cash as Percentage of Revenues], dtype=object)\n", "Index([FRED.CTWMIN - Value], dtype=object)\n", "Index([FRED.NHEMIN - Value], dtype=object)\n", "Index([OFDP.DMDRN_CYGN_OP_MARG - Pre-Tax Operating Margin], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.NCEINF - Value], dtype=object)\n", "Index([FRED.CUSR0000SA0L2 - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.TXWHEA - Value], dtype=object)\n", "Index([FRED.FLALCLICTAX - Value], dtype=object)\n", "Index([FRED.MTWCON - Value], dtype=object)\n", "Index([OFDP.DMDRN_INRG_INV_CAP - Invested Capital], dtype=object)\n", "Index([FRED.CUSR0000SA0L5 - Value], dtype=object)\n", "Index([FRED.KYWFIN - Value], dtype=object)\n", "Index([FRED.DESLGRTAX - Value], dtype=object)\n", "Index([FRED.CAWPRO - Value], dtype=object)\n", "Index([OFDP.FUTURE_W1 - Open, OFDP.FUTURE_W1 - High, OFDP.FUTURE_W1 - Low, OFDP.FUTURE_W1 - Settle, OFDP.FUTURE_W1 - Volume, OFDP.FUTURE_W1 - Open Interest], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([OFDP.DMDRN_PALAF_EV_BV - EV to Book Value Ratio], dtype=object)\n", "Index([FRED.FLEMAN - Value], dtype=object)\n", "Index([OFDP.DMDRN_RDGA_FIRM_VAL - Firm Value], dtype=object)\n", "Index([OFDP.DMDRN_OCLR_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([FRED.NJEFIN - Value], dtype=object)\n", "Index([FRED.TXEUTI - Value], dtype=object)\n", "Index([OFDP.DMDRN_BEAS_NET_INC - Net Income], dtype=object)\n", "Index([FRED.KSWNON - Value], dtype=object)\n", "Index([OFDP.DMDRN_PCX_STDEV - 3-year Standard Deviation of Stock Price], dtype=object)\n", "Index([FRED.ALEDUH - Value], dtype=object)\n", "Index([OFDP.DMDRN_HUBB_MKT_DE - Ratio of Fixed Assets to Total Assets], dtype=object)\n", "Index([FRED.INWEDU - Value], dtype=object)\n", "Index([OFDP.DMDRN_DBSS_CASH_FV - Cash as Percentage of Firm Value], dtype=object)\n", "Index([FRED.WVNA - Value], dtype=object)\n", "Index([FRED.GAWCON - Value], dtype=object)" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Index([FRED.INLEIH - Value], dtype=object)\n", "Index([OFDP.DMDRN_AASL_PE_CURR - Current PE Ratio], dtype=object)\n", "Index([FRED.TXWWHO - Value], dtype=object)\n", "Index([OFDP.DMDRN_ARAY_DEPREC - Depreciation], dtype=object)\n", "Index([OFDP.DMDRN_PFE_REV_LAST - Revenues], dtype=object)\n", "Index([OFDP.DMDRN_KBR_P_BV - Price to Book Value Ratio], dtype=object)\n", "Index([FRED.COECON - Value], dtype=object)\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.MOEEDU - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.CTEFIN - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.NVEACC - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.ILEMAN - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.ILEMAN - Value', 'FRED.MDWART - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.ILEMAN - Value', 'FRED.VAWMAN - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.ILEMAN - Value', 'FRED.NHWMAN - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.ILEMAN - Value', 'FRED.TXENON - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.ILEMAN - Value', 'FRED.NMWMAN - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.ILEMAN - Value', 'FRED.MOWEDU - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.ILEMAN - Value', 'FRED.NCWREA - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.ILEMAN - Value', 'FRED.IAEMIN - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.ILEMAN - Value', 'FRED.TNEACC - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.ILEMAN - Value', 'OFDP.FUTURE_W1 - Volume']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.ILEMAN - Value', 'OFDP.FUTURE_W1 - Volume', 'FRED.CAEFIN - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.ILEMAN - Value', 'OFDP.FUTURE_W1 - Volume', 'FRED.LAEFIN - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.ILEMAN - Value', 'OFDP.FUTURE_W1 - Volume', 'FRED.LAEFIN - Value', 'FRED.ILWMAN - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.ILEMAN - Value', 'OFDP.FUTURE_W1 - Volume', 'FRED.LAEFIN - Value', 'FRED.ILWMAN - Value', 'FRED.SCWFIN - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "['YAHOO.INDEX_GSPC - Adjusted Close', 'FRED.TNEFIN - Value', 'FRED.ILEMAN - Value', 'OFDP.FUTURE_W1 - Volume', 'FRED.LAEFIN - Value', 'FRED.ILWMAN - Value', 'FRED.SCWFIN - Value', 'FRED.HIWACC - Value']" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] } ], "prompt_number": 28 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Lessons Learned:\n", "\n", "Through the Naive Bayes analysis we found a lot of variables that we actually thought about initially ended up being important. For example CPI, gas prices, and housing numbers all made it through our NB models to prove important predictors of the stock market. From this, we know to check these numbers particularly carefully. \n", "\n", "We also ended up with a lot of very specific variables that proved to be good predictors, like leisure employment in Indiana. We guess that this occurs because FRED didn't have a single leisure employment nationally variable, so either Indiana's leisure really affects the national employment picture, a lot of investors pay attention to this number (unlikely), or most likely, because we ran tests on so many variables, a few random walk variables happened to line up very well with next week's S and P and appear to be significant when in fact they are random chance. \n", "\n", "This model ends up with an accuracy of about 57% which, given the thousands of trials, should be statistically significantly different from 50%. One concern that we found much later on the ANN set was that the 100 weeks were testing on was a very good year for the market. However, since this randomly selects the test set from the full range of weeks, where the market only went up 54% of the time, the 57% still represents a better trading strategy than merely selecting all increase, aka buying the S and P in week 1 and then never touching it. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Data Exploration ##" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Gathering and Processing ###" ] }, { "cell_type": "code", "collapsed": false, "input": [ "'''\n", "dict of of all the Quandl datasets we will use\n", "the key will be used as the column name for convenience\n", "'''\n", "\n", "data = {'gold_price':'BUNDESBANK/BBK01_WT5511.1',\n", " 'usd_to_pound':'QUANDL/USDGBP.1',\n", " 'cpi':'FRED/CPIAUCSL.1',\n", " 'unemployment':'FRED/UNRATE.1',\n", " 'gas_price':'BTS_MM/RETAILGAS.1',\n", " 'volatility':'YAHOO/INDEX_VIX.6',\n", " 'house_sales':'FRED/HSN1F.1',\n", " 'usd_to_euro':'QUANDL/USDEUR.1',\n", " 'crude_futures':'OFDP/FUTURE_CL2.1',\n", " 'housing_prices':'FRED/ASPTFC.1',\n", " 'gas_futures':'OFDP/FUTURE_NG1.2',\n", " '10-year_treasury':'FRED/DGS10',\n", " 'corporate_profits':'FRED/CP',\n", " 'wheat_futures':'OFDP/FUTURE_W1.5',\n", " 'gdp':'FRED/GDP',\n", " 'treasury_futures':'OFDP.FUTURE_US1.1',\n", " 'inventories_sales_ratio':'FRED/ISRATIO',\n", " 'iron_ore':'WORLDBANK/WLD_IRON_ORE.1',\n", " 'retail_and_food':'FRED/RSAFS.1',\n", " 's_and_p_500':'YAHOO.INDEX_GSPC.6'}" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 30 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, our function calls the Quandl API to download pandas dataframes for every variable in the data dictionary, then changes the column names to our readable keys. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "list_of_data = get_quandl_data(data)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.GDP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CPIAUCSL.1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'QUANDL.USDEUR.1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ISRATIO']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'BTS_MM.RETAILGAS.1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_NG1.2']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'BUNDESBANK.BBK01_WT5511.1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'QUANDL.USDGBP.1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.ASPTFC.1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_CL2.1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.UNRATE.1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.RSAFS.1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_W1.5']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.CP']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.HSN1F.1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'WORLDBANK.WLD_IRON_ORE.1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'FRED.DGS10']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'YAHOO.INDEX_GSPC.6']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'OFDP.FUTURE_US1.1']\n", "Token Cx1CtXeu61zjTzpehmNV activated and saved for later use.\n", "Returning Dataframe for " ] }, { "output_type": "stream", "stream": "stdout", "text": [ " [u'YAHOO.INDEX_VIX.6']\n" ] } ], "prompt_number": 33 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we need to clean our data. We had to make a few design decisions here. We chose weekly data to use for our predictions because we would have enough weeks to create a good training and testing set, but enough variables with accurate reporting. With that in mind, we set the dataframe to have an entry for every business day, then fill in all the missing values using a linear regression between the two closest data points. Then to get back to weekly data, we keep only the values for Monday. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "dataset, dates = merger(list_of_data)\n", "dataset = percentageDifference(dataset, data.keys())\n", "dataset, add_cols = biner(dataset, ['s_and_p_500_pdiff'], [0.000001, 100.])\n", "dataset = advance_cols(dataset, add_cols)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 37 }, { "cell_type": "code", "collapsed": false, "input": [ "# sanity check\n", "assert len(dataset[np.logical_not(np.isfinite(dataset)).any(axis=1)]) == 0" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 38 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Visualization ###" ] }, { "cell_type": "code", "collapsed": false, "input": [ "inc = dataset['s_and_p_500_pdiff'][dataset['s_and_p_500_pdiff'] > 0]\n", "dec = dataset['s_and_p_500_pdiff'][dataset['s_and_p_500_pdiff'] <= 0]\n", "mean = dataset['s_and_p_500_pdiff'].mean()\n", "std = dataset['s_and_p_500_pdiff'].std()\n", "in_one_std = dataset['s_and_p_500_pdiff'][(dataset['s_and_p_500_pdiff'] >= (mean - std)) & (dataset['s_and_p_500_pdiff'] <= (mean + std))]\n", "out_one_std = dataset['s_and_p_500_pdiff'][(dataset['s_and_p_500_pdiff'] <= (mean - std)) | (dataset['s_and_p_500_pdiff'] >= (mean + std))]\n", "\n", "int_inc = pd.concat([inc, out_one_std], axis=1, join='inner').ix[:,0]\n", "int_dec = pd.concat([dec, out_one_std], axis=1, join='inner').ix[:,0]\n", "\n", "\n", "extreme = dataset.sort_index(by=['s_and_p_500_pdiff'], ascending=False).s_and_p_500_pdiff\n", "print_num = 5\n", "extreme = pd.concat([extreme[:print_num], extreme[-print_num:]])\n", "\n", "\n", "\n", "print 'the s&p 500 increased %d weeks (%.2f%%) and decreased %d weeks (%.2f%%) between %s and %s' % (len(inc), (float(len(inc))/len(dataset))*100, len(dec), (float(len(dec))/len(dataset))*100, dates[0].strftime('%B %d, %Y'), dates[1].strftime('%B %d, %Y')) \n", "print 'over the whole period the s & p 500 increased by %.2f%%' % ((dataset['s_and_p_500'][-1] - dataset['s_and_p_500'][0])/dataset['s_and_p_500'][0]*100)\n", "print 'the average weekly increase was %.2f%% with a standard deviation of %.2f%%' % ((inc.mean() * 100), inc.std()*100)\n", "print 'the average weekly decrease was %.2f%% with a standard deviation of %.2f%%' % (abs(dec.mean() * 100), dec.std()*100)\n", "print 'the average weekly change over the whole period was %.2f%% with a standard deviation of %.2f%%' % (mean*100, std*100)\n", "print 'the weekly change was outside 1 standard deviation of the mean %d times' % len(out_one_std)\n", "print 'of those %d of them were increases and had an average change of %.2f%% and a standard deviation of %.2f%%' % (len(int_inc), int_inc.mean()*100, int_inc.std()*100)\n", "print 'and %d of them were decreases and had an average change of %.2f%% and a standard deviation of %.2f%%' % (len(int_dec), int_dec.mean()*100, int_dec.std()*100)\n", "print\n", "print 'the %d most extreme increases/decreases were' % print_num\n", "for i in range(len(extreme)):\n", " print '-' * 25\n", " print extreme.index[i].strftime('%B %d, %Y')\n", " print '%.2f%%' % (extreme[i]*100)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "the s&p 500 increased 370 weeks (54.25%) and decreased 312 weeks (45.75%) between September 07, 1999 and October 09, 2012\n", "over the whole period the s & p 500 increased by 8.19%\n", "the average weekly increase was 1.80% with a standard deviation of 1.67%\n", "the average weekly decrease was 2.03% with a standard deviation of 1.91%\n", "the average weekly change over the whole period was 0.04% with a standard deviation of 2.61%\n", "the weekly change was outside 1 standard deviation of the mean 166 times\n", "of those 77 of them were increases and had an average change of 4.30% and a standard deviation of 1.88%\n", "and 89 of them were decreases and had an average change of -4.30% and a standard deviation of 2.02%\n", "\n", "the 5 most extreme increases/decreases were\n", "-------------------------\n", "July 30, 2002\n", "13.17%\n", "-------------------------\n", "October 15, 2002\n", "10.36%\n", "-------------------------\n", "March 21, 2000\n", "9.91%\n", "-------------------------\n", "March 18, 2003\n", "8.21%\n", "-------------------------\n", "March 17, 2009\n", "8.13%\n", "-------------------------\n", "January 20, 2009\n", "-7.64%\n", "-------------------------\n", "March 03, 2009\n", "-9.93%\n", "-------------------------\n", "November 11, 2008\n", "-10.62%\n", "-------------------------\n", "July 23, 2002\n", "-11.46%\n", "-------------------------\n", "October 07, 2008\n", "-14.59%\n" ] } ], "prompt_number": 40 }, { "cell_type": "code", "collapsed": false, "input": [ "plt.figure()\n", "ax = dataset['s_and_p_500_pdiff'].hist(bins=np.sqrt(len(dataset)))\n", "plt.xlabel('weekly percent change of the s&p 500')\n", "plt.ylabel('frequency')\n", "plt.title('weekly percent change of the s&p 500')\n", "plt.vlines((mean+std), 0, 100, label=('+/-1 standard deviation'))\n", "plt.vlines((mean-std), 0, 100)\n", "plt.legend(frameon=False)\n", "remove_border(ax)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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FqV27dtq6davCwsIcK7hHjx7V8ePHdebMGcfY119/XY0aNdKPP/7otNKZk5Oj7OzsPOc/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\nRfL+vP1cRoo7FQVBEARBEPSNXlxOFQRBEARBENS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"text": [ "" ] } ], "prompt_number": 42 }, { "cell_type": "markdown", "metadata": {}, "source": [ "This graph shows that the vast majority of weekly changes in the S&P are pretty small. This is a good sign for our model since each individual prediction will have less weight (each inaccurate prediction will have less of an effect). " ] }, { "cell_type": "code", "collapsed": false, "input": [ "'''\n", "input: column name\n", "\n", "function: removes '_' from column name\n", "\n", "return: clean column name\n", "'''\n", "def clean_column_name(col):\n", " return ' '.join(col.split('_'))" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 45 }, { "cell_type": "code", "collapsed": false, "input": [ "'''\n", "input: dataframe\n", " a list of columns (y axis)\n", " target column (x axis)\n", "\n", "function: plots each column of the dataframe agaist the target column\n", " overplots a liner fit\n", "\n", "return: a sorted list column names by correlation coefficient\n", " dict of the slopes of the liner regression line\n", "'''\n", "def scatter_plot(df, cols, target):\n", " xaxis = target\n", " yaxis = cols\n", " ff = 5 * (len(yaxis)-1)\n", " fig, axes=plt.subplots(nrows=len(yaxis), figsize=(5,ff))\n", " Rs = []\n", " slope = {}\n", " for i, y in enumerate(yaxis):\n", " axes[i].scatter(df[xaxis], df[y])\n", " m, b, r, p, se = scipy.stats.linregress(df[xaxis], df[y])\n", " lab = 'r^2 = %.2f \\np = %.2f' % (r*r, p)\n", " axes[i].plot(df[xaxis], np.array(df[xaxis]) * m + b, label=lab)\n", " axes[i].set_xlabel(clean_column_name(xaxis))\n", " axes[i].set_ylabel(clean_column_name(y))\n", " axes[i].legend(frameon=False)\n", "# axes[i].set_title(lab)\n", " remove_border(axes[i]) \n", " Rs.append((y, (r*r)))\n", " slope[y] = m\n", " fig.tight_layout()\n", " return sorted(Rs, key=operator.itemgetter(1), reverse=True), slope\n", " \n", " \n", "\n", "r, slope = scatter_plot(dataset, data.keys(), 's_and_p_500')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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WUWaUZv/xvIiLi5OoqCjRaDSyZcuWzO3h4eEyZcoUOXjwoBw8eFCuX78uIiIm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DF4SUlJQiqVtQXM0FBgP7dm3bRtvgX3/RDjhvHr3eu3cDx4/TkTV/PmvG/vADK0ApnDvHfHiN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OTtb6BWqbF+Pf2XZjPQpQvdB9Wr05KVZFkmE78vWUJZ2N2uAzc37rt8me6I69cp63JlXaq3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\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zToA1bcqOAxnx8FDrliYmsqCMUhu2QwcWVgGY2qlka+Xm+5OS6B7o3t1WpIvTa7HVyiph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gd99919HzdAmkcAF+/Nblsr/+StS3r2M+y2SCdODIkXg9aBAoUgXavDkMajXCBPXrw3CV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\nDhMnMtL8+Wdg+HC2sVavDnzwAaPVVq0YkVavzvZTs/nBkZqDAzu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uOnXqoE6d\nOqhevTraKg3fWdCuXbuHflNfX18sXrwYXl5emDFjBm7dupW5ZjAY0LlzZ/Tp0weNGzfG4cOHs12b\nmJgIb29vVKlSBYcOHbLZmm/WsCoLspLs44BOneg2lZrKqO+zz0iEWQUYjo78adAg5wwvBUo3VPfu\nJMj160nMY8aQwBQR/9tvs8rv5pZdb2tLC1SNhrrXsWOpw23b1mLLqNMxvaFMu923jw0OD4vhe1fh\nz2vnrK6p3VkqgEf0LrAVvL29ce3atWzaWz8/Pyxfvhxt27ZFYGAgunbtiuTk5Mz1WrVqYebMmahR\nowa6dOli07WXX3452/5KYseXXg/s38/bc19fdjm5uJA09Xr+Npt5a929O3DrFs91dCRx6vVMI1Sq\nZBmx8rAwmQrOyPpeJCVRkpaaytxrbCz3v2wZ0xtPPcXzSpVivvhBLbOdt87G+Tu3rK6p5KoiKwrs\nHubOnTvYtm1b5vMDBw5gyJAhVpsbFGJr2bIlfHx8sG/fPgBAWFgYdDodevXqhRYtWthsTa/Xo5fS\nQlQMkZpKAtNqH3zeiBFsC9VoqP18+23mVZOTWQArVYok2qsXhfbjxgGBgYxYU1JYjGrenIWjM2fy\nts/CIliAZt5lywKVK9Nspm5dGomnpjIXu3gxP//27bm3ytZe8SmqL51glWCjhn2lEqyKHLBRQ+SD\nceXKFQwfPhx169ZF//79Ubp0aXzxxRdWz1WIV6PRYOvWrZg2bRpCQ0MRFBSEHTt2wOWuYamt1rZv\n3565Vtyg09HD9MgRYNQoGpxkjS71epJIfDzzqvPmkUSSk1mpN5t5K3/rFseoPPUUC04nTjBP6e4O\n/P03b+XNZhIzQFL/808SbmGSZ17g6cnP8PnnfD57NnDsGPPPTz7JJoMyZRi134v7OWJVc/PEvy/f\n3y1LhQqbpAvMZjMiIyPh4+Njiz0VGRSHdMGRI+yiUpCSQhLVaEgokZHMg77zDs1Wli4liQwezM6r\nS5d47s2bwMsvk2SbNOHolp9/ptLgyy+pMjCbmdv86CNW4Y8ds3RnFRdotdz/ggXsJPvnHyAmhn9Y\nrKU+Wqz/GlHahBzHn6tSG791fbMAdqyiuOOBJBsWFoa1a9dmEo4SZWa9LC4uDhqNBnPmzMnf3RYw\nihLJZh3u5+hIWZSDA/Dii4wmQ0KoeQ0OZjtqly5s91y9mlKqvn1psvLjj3y9yZMZyX70EYcLvvgi\nI95r1/ger7zCCr+vL8k4KIhmMGYzfxSZU0H4qtoaWq3F4PuTTzh+Zv16Pk9JAfbuFbyfbN1u8NU6\nz+Lb1i8W8I5VFGc8MF1Qvnx5rFy5Em3atIGIIDg4GF5eXtm8Y69evQpvb+983WhxhsFAwouNZcFI\nEbCbzTyeVeJkDVotyXLuXEaYEydSvJ+URCXAvn0sZnXuzPeaN4+ECXCKQEAA31uZ5gqwou7mRnJx\ndrbspXp1y/FTp3gbPXw4Xz86+sF7LQ5wdqZWt3t3plC2buWxdKMZjbZ8YvWaBf6D0N23UQHvVEVJ\nwEOR7MaNG9G4cWMAwPfff5/ZqaXAbDZj2LBh+bPDEoCkJA7Xu32bEePy5Ty+aRNlTWPHUjd6v9ym\nkkdctIi2fmYzZ1v98AOjMCcnFm0ARrwffUTi6N6dKYDYWOD33ylfunqVRDljhkUdYDRSmN+vHwtc\n333H9IKzMzu/goMp11L8Vos7HBw4Xfb6dT7XGzJQe82nVs9d1eEt2F2riRtHAX3F/J9Aq6Lk4aEK\nXwrBAtSU3oukpCTVTzYX7NtHggVIrOvWsQNKmY21axcr+PeTQ5UqxesOH2anUqtWLNa4uQHvv8/b\n+xs3WNxasoTKgKgo+rJOnUqJUno6ifavv3hbHBVlaR1NS6ONoJIZ2bSJJO7tzZTB6dMk7pIQxSrI\nyAB0RgOe2vi51XWfHe9i94pq2LOH870AplAWLHj0GWYqHk/kWV3g4OCAESNGoFOnTnBxcUFYWBjm\nz5+P5s2b58f+SgTat2ekGh/P9k6jkaSo4Nat3Cv0IrQWfO45Pt66lYWq0aMpsapbl2Rbvz5zivPm\nMTVQsSI1rh98QCJ3cCBRpqczf6tEZS4unGW1di3Xhg+3mFEPGMCBgiWJYKMSdGixZbrVtV3dxqJ2\nOS9kvMJUQta+lbNnC2iDKkoUHkldsHr1asyePRthYWFwc3NDjx498M0336BcuXL5scdCg60KXwaD\nxXm/alVLp9HQobzd//57EmhuKjKjkZX8qCiqB27fpj9AUBBbVU+eZJ+/gtOnObpar2d6IjmZZi3v\nvkut672zL/V6pgOUHPGj+rQWZURpE9Bi/ddW126NmQRzcpnMkeZxccyBf/8922xv3WJevHNnNWWg\nIm94JJ3soEGDMGjQoGzHoqOjbbKhkggnJ/7Urm055ubGW3uAaoEHyXQ1GuD4cXYotW/PyFcZPBgV\nxQh2zhxODejWjZIkgITw+utUDYwbx2i3YcOcr1+SiSMsIRodt/xgde30S1NQo4IzzHcLhUlJbFwI\nDWVjQs2a/N5Ll+YfopL8PanIH+Q5kk1KSsLGjRtx8+bNTGMVEcGBAwdKnF1gUZJw3Quj0dJzX6MG\noy6lMKXR5GwLTUvjj6NjyYxSreFYTAT6/jHf6tqKWtPxz2FHjBjB6QjTpzO6nzmTUb+rKyPY8HB+\nt506MYdtq8GJKh4f5Jlkm929z2zQoEGmZjYjIwOBgYG4fPmy7XdYiCjKJAvw1l4ZX60WYyz4OzIM\nQ/css7oWMfRLONjZIz2d+eddu0iuyijxUqX4vdrbU8Xh6Mh0j4ODGsWqeDTkOV1gMBhwxkrT+sWL\nF22yIRUPDwcH24ziLinYcOkkxhxaZ3UtMmBmZlCQkmJpne3QgXcF27axKGktbVMcGy5UFB3kmWTf\nf/99nD17Fk8++WS241FRUfg/JRGoQkUB4ufgA/jy+J85jpdzcsPZgdnN4PV6aoBnzODzP/9kvvr9\n961bNqpQ8V+RZ5JdvXo1xo4dm2NiQWxsLHQ6nc02pkLFgzAtaAcWhBzKcfyJstUw0+ddBAVx7Iy7\nuyWXGhoKrFjBHKu9PaV0VatSGldcjG5UFC/kOSc7bdo0NG/eHE5Z7qHMZjM2bdqEefPm2XyDhYmi\nnpN9XDF6/xpsvZozZeV6rQF2DhmCtDTO6jKbgXr1KGdT/rnevEk/BhcX6oI7diTBajTZTcNVqLAV\n8vzPaty4cXBW5oTchclkQkZehs+rUPEI6PfHfATFROQ43ii1BXaO5ny5Rel0EVMmCl24kD1C9fAA\n/v2XHXf161ORoeZcVeQn8kyyaWlpWLhwIRITE2E2m6HRaJCYmIi1a9fiRtY2JhUqbITm677CDV3O\ndu7hNTsh9c/n4esL7Lx7LDycBjrt2lHfOnkyHcr8/Jg2cHOjq9hTT9l2xI0KFfdDnkn2zTffhKOj\nI27evImaNWtCRHD+/HmMGzcuP/an4jGFiKDGMut2g1+36otBdZtDrwdGLKZWOCmJ5jfjx9Mzd9ky\neuAeOcL1e+d8qgSroqCQZ5Lt0qULhg8fjrCwMNy+fRtt2rRBamoqxowZkx/7U/GYwSxmeC+7n93g\nYHT3fSLzuasrjcVF2DJ85w7lWHFxVBGsW0eCXbXK+rQDFSoKAnkm2fDwcGzYsAE9e/bE4sWLYTab\nYTQasX79evzyyy/5sUcVjwHSTRmoucK63eD6rm+hZZWcIxj0enoKeHlx7I6jIzBpEt2yjh4Fevak\neiA9/cFtyypU5BfyrC44ePAgJkyYgKVLl8LDwwPdu3fH6dOn0bdvX2zcuDG/9lkoUNUF+Q+d0YC6\nq6zbDf7V+z009KpqdU0xtKlfH6hShX679epR89qgAXD+PNuI27Z98ORZFSryEzaZ8RUfHw8vLy9b\n7KdIQSXZ/EN8mhaN11gfpHn4xbHwdc/570mvB1auBFq3prnOp5+ygBUZyYkT4eEsdAUE0P6xVKns\no3JUqCgM2IRkSypUkrU9IlMS0HKDdbvBk69MQkVX62FnUhIJdO5czjf76y+6mnXtSlOXJ5+ky5jR\nyKKWvb3qNaCiaECVX6soEORmN3h+0BS4l3K2uqbAaOQ8MwBYs4YFr9dfpyTr5585KsfFRc29qih6\nKFDjtlOnTqF169YoW7YsOnXqhPj4eADAgQMH0LhxY7i7u6NLly6IjIzMvObGjRsYNWoU5s+fj6FD\nhyIkJCRf11TYFkExEai+dIJVgr302nREDfvqgQQLcErBlClArVokWwcHjoJp1YrHs/yTUaGiaEFs\nhAsXLuS6bjAYZOLEiaLX60Wr1UqLFi3kk08+kdjYWBkyZIgEBwfLzp07xcfHRzp27CgiImazWZo0\naSK7d+8WEZHz58+Ln5+fmEwmm69lZGTk2LMNv57HDruunZdqS8Zb/ckwmfL8elqtyKJFIjdvisTE\n8HnFiiIUcIl89ZVIerqI2ZwPH0aFiv+AB+ZkL1y4gDVr1tw3P6kcP3jwIP7+++/7vk5MTAzKli2L\nUneHRU2YMAGOjo5o2LAhevTogTJ3S8DLli3DyJEjkZqait27d+OFF15AcnIyHO42ltetWxczZsyA\nu7u7zddefPFFq59NxcNj3cUT+PDweqtrWe0GHwVpacy1Ggwc2/Pbb8D//geULQv88w/w008033Zy\nKlkzyVQUbzwwJ1uuXDksXLgQHTt2vO//ICaTCREREbm+TqVKlTIfGwwGxMTE4LvvvkPZsmVznOfj\n4wMAOHLkCGrWrJlJhgBQp04d7N27FxUrVoSfn59N1+4lWRUPj5+CD2CGFbtBL2c3nHl1spUr8g7F\nMsNgYFfXu+8CI0cClSvTsnD2bPoWPP88h0iqDQgqigIeSLLly5fHypUr4e/vn+t5//7770O94bZt\n2zB58mTEx8fj3LlzaNOmTbb1kydPYsSIEQA4N+xeS0VPT09ERUXBbDbDw8PDJmseHh6Iioqyut8p\nU6ZkPm7fvj3at2//UJ/zccH97AYbl6+OHb3eyZf3LF0a+PZbRrM+PsCBA8BLL5FUGzViRPvxxzSD\nSUsjOatjY1QUFh5KXfAgggWQzfowN/Tq1QuNGjXCpEmTMHjwYFy7di1zTafTITg4GL/++is35+AA\nx3vCEbPZDBGx+dr9kJVkVVhwP7vBrt4Nsej51/L9/V1dGbWKcNLv6tVsTLh0iW21dnZMIaxaxbHm\nTZs+PrPNVBQtPBTJzpo1C507d8aTTz6JJUuWYN++fZlrGo0GJpMJx48fR3h4+EO9qa+vLxYvXgwv\nL69sjQyzZs3C3LlzYXc37KhatSoOHz6c7drExER4e3ujSpUqOHTokM3WfH19H2rvjzv67vgZx2Kv\n5TgeUK8lvmj5QoHvR6Ohu1bfvsDevVQZfPklo1d/f7bULlrE9lqVZFUUBh7qJurw4cO4cuUKAOZo\nQ0JC4ODgAHt7+2w/eYGzszO8vLxQrlw5AMDChQsxePBgVKhQAQBgNBrh7++f+b4KwsLC4O/vb9O1\n8PBwNQ3wADRbNxPVl07IQbBjm3RG1LCvCoVgs0IEKFeOhtxpaZzjlZ7ONaORAyfDwtg1pkJFQeKh\nItktW7ZkPu7Rowd8fHzw9NNPZzvn2LFjub7GnTt3cOTIEfTq1QsAtbFDhgyBRqPBsmXL4OLiAqPR\niLCwMMTExCAiIgJDhw6Fj48P9u3bB39/f4SFhUGn06FXr15wdna22Zper8/clwoLJBe7wW9a9cPA\nus0KeEf3h6srUwJGI1MFMTHAV19x+kG/fhznPWwY1QmLFql+BioKDnnu+HJ0dMxBsEajEWvXrsWz\nzz573+uuXLmC4cOHo27duujfvz9Kly6N6dOnY+fOnRg+fDhMJlPmuRqNJjP1sHXrVkybNg2hoaEI\nCgrCjh074HK3rcdWa9u3b89cUwGYzGb4LLduN7iww2B083nC6lphwWy2jEYvVYpRbXw8ULMmfWXt\n7YHYWD5u2ZISL2XkjAoV+Y08exfs3r0bEyZMQEJCQqaGNCUlBfb29oiJicmXTRYWHjedrMGUgVr3\nsxvs9hZaVs5pN1gYEKGXgdlMpUFaGp+XKQMkJ9Ms5rffmKfV66k6GDaMEW2NGrRGVH6rUJHfyHMk\nu3LlSnz55ZcICgpCs2bN4OzsjOPHj6NBgwb5sT8VBQCt0YB6j2A3WFiIjwcGD6ZedskSamJXrgT6\n9GHK4PXXOYJm82agcWPO+dq2DejenUYyLVoAXbpQBqYWw1TkN/JMsu3atUPXrl3RunVrrFmzBm+9\n9Rbat2+Pdu3aoXv37vmxRxX5hNzsBo/0HwufMkUv1EtJAcaOpQsXQB/ZuXNpc3jyJKPan37ihNp9\n+4CICBLx6NHAa69xJHhcHD1o1em0KgoCef5ndurUKfTs2RNz5syBVqtFQEAAMjIycPr06fzYn4p8\nQG52g6cGTEIFl6JbFbK3p4pAgYMD87CJiUCnTkDDhhyc+MwzTCEsWEBSdnMDdu2i0czu3WxaUH1m\nVRQE8pyTTU5Oxpo1a/Dqq6/C3d0dc+bMwZ49ezBw4EAMGDAgv/ZZKChpOdnQO9HotPXR7QaLCnQ6\n4OuvGbWOG0dNrAgbERo04MQEnQ44exbo2JHXzJnD/OxffwGbNgGenoX7GVQ8PsgzyZ44cQJNmzbN\ndiwmJgYXL17Ec889Z9PNFTZKCskGxUSg3x/zra5dem06nB2KX5O/TkcytbNjlJqeDqSmkmwVZGQw\nZeDuTovEVq2AadOAoUNVQ28VBYc8pwv++uuvHCRrb2+PDz744IFaWRUFi13Xz+P1v1dYXbs2dAbs\ni3FD/70FKycnphL0ekqzHBz4u3lzRq1JSSRcHx+VYFUULB76/7Kff/4ZpUuXxqeffgo7O7tsPxUr\nViyRM76KK9ZePI7qSydYJdjIgJmIGvZVsSbY+8FgAK5fZwNCWhqNY9zcGL2+8gpbbkvgx1ZRxJGn\ndMGZM2ewZ8+eHJaAbm5ume2wJQnFLV1QEHaDRRkXLzInm5EBrFhBUo2JAb74gnlbvZ7OXCpUFCQe\naZCiVqtFVFQU6tWrh+DgYHh5eaFq1aKlpbQFigvJ3s9u8Kny1bE9n+wGixIyMhjF7t0L9O7NYz4+\nHAu+bh27wV5/XU0TqCgc5JlkN2/ejCFDhqBly5bYtWsXRATjxo1Djx49SpzJSlEn2a1XzmD0gTU5\njnfzaYiFHfLfbrAwodOx40ujAW7eBD77jJ4EvXrR4nDiRDYseHszV6u20KooLOSZZJs3b46xY8fi\n7NmzmDZtGgAOJuzWrRvOnj2bL5ssLBRVkv3twjF8fGRjjuPD6rfE9BaF64ZlS6SkkEgdHKhvXbMG\n6NaNTlsHDwIvvEBCfe89IDAQOHeOGlovL+DIEXaG9eun5mFVFC4eqeOrf//+uHz5cuaxyMjIbObb\nKvIHC84dwrRjO3Ic/6LFCwio37IQdmSBXg/cvk1tqr8/C04aDaVVOh1v1fMi/tfpmEv95x+Olnn6\naXZqTZ7MXOv8+ZY0gZJnHTkS+P13GsFUr05CVglWRWEjzyTr7u6OwMBAmM1mpKenY9++fRg9ejQ6\ndeqUH/t77CEi+N+p3fjhzN4ca3/0egdPlq9eCLvKidu3gbp1SXpPPUVyNBiAM2eAhQs5DqZOHZJe\nRkb2/KhWS42rIsOyt2db7DffMLd65w4JFuBrpqUxLbBtGzBrFotc06bRztDZGXjrrcL5DlSosIY8\npwsyMjLwv//9D0uXLsX169fh5eWF3r17Y8aMGTlmZxV3FGa6QETw2b/bsDQ0MMfavr4f4v88KxbC\nru6PrVtp0KIgPZ3NAnXrAnv28LY/I4MRamIiR8Y4OpJcly/nLb+zM70Fdu0Cnn2WZi8aDRAczPEy\n8+fT2GXRIjYd3LjB96pRg8/t7dVWWRVFD3km2YkTJ6J79+45BiCWRBQGyZrMZnx4eD02Xj6V7biT\nvQP29/0INcqUvc+VhYuUFBLn2bPAhx8CU6cyal2zhpHq2LE01F62jOQ7YABJNyODra+n7n7c/fvZ\n9tqvH20Ld+6kMqBsWZq6ZGSohtsqihfyTLL16tXDli1bUK9evWzHIyMjUaNGDZturrBRkCRrMGXg\n7X2rsCcyLNvxCi6l8Vfv91HRtWgzi9lsmUpgMNC0Racj+d64wajUYKCkqnVrRp+7djF/O3cu1QH2\n9sChQ8D//R/w/vucQNuhA8nWyYl5XlWGpaK4Ic8ku3LlSly+fBn+/v7Q3NXFmM1m/Pbbb5g/33p/\nfHFFQZCs3piOQbsW55idVcujArb0GImyTsWTVUwmEmrnzvR1HTmScqrDh5k7vX2bRPzxx8y9xsWx\n/dVgYI514EASamIiUw6qLaGK4oo8k2zPnj0RFBQEtyzN4yKC6OhopKWl2XyDhYn8JNkkQyr6/TEf\n4YnZp0k0qeCNNV3egJtj8U8u6vXMzT7xhCV/Om0aI1QfH976N2zIFMKRI8CYMUB0NKcdODoyKra3\nV7u0VBRv5Dk+eOedd9ChQweUKlUq2/HNmzfbbFMlGXGpWnT9fQ6i9cnZjvtXr4tFHV6Dk33JCdlE\nSJRNm1pI9umnARcXYPt2oGtXWhYeP05/1y++AKZMYYrByYlFL3VygYrijkdqq31cYMtINj5Nixbr\nv0ZqhjHb8T41G+OHNi/DwS5vI9WLOu7cASZMIKkOGUIfV29vDjfcsQMICGCUm5ZGQk1NZfSq0TDV\nAKj5VxUlAyUnbCriuHfMy9B6LTC9RW/YaUqeWj4xkcS6427fhF5PiZbZTA3r+d5c/AAAIABJREFU\nypVsKkhNZWoAUBUDKkouCvT/8FOnTqF169YoW7YsOnXqhPj4eABsyx01ahTmz5+PoUOHIiQkJPOa\ngl7LL3z4FC3633vSH5EBM/Flyz4lkmAVpKZaHt+4weelSgG//EIVwnvvqd1YKh4TSAHBYDDIxIkT\nRa/Xi1arlRYtWsgnn3wiIiJNmjSR3bt3i4jI+fPnxc/PT0wmk5jN5gJby8jIyLHnAvx6ShQMBpHL\nl0W6dRN59VWRmBgRrVbEZBLZt0/ExUUEEJk8WSQ5ubB3q0JF/qLA0gUJCQmYMmVKZsGsXbt2sLe3\nx+7duxEaGprp4FW/fn04Ojpi8+bNcHd3L7C1LVu25PDJVZF36HTMq5YtC0yaxFTBxYssbKWns9FA\niXK3bKGES4WKkowCu2GrVKlSJsEaDAbExMRgzJgxOHLkCGrWrAmHLELIOnXqYO/evQgMDISfn1+B\nranIO4xGdnSZTPy9aRNTAXFxnKvVogVJVilwDRlCdQHATi41ZaCipKPAC1/btm3Dp59+ijt37iAk\nJATR0dFwd3fPdo6npyeioqJgNptz+CHkx5qHhweioqJs+CkfD+h0jEb37AE++IBNAwEB/O3mBtSv\nzyKYtzfw6quMcBs04LSC1FSqB5TClwoVJRUFTrK9evVCo0aNMGnSJAwePBi9e/eGo2P2aalmsxki\nAgcHhwJbux+mTJmS+bh9+/Ylzpj8QTCZ2Na6aRPQsiWbCBTt6uXLNMYGqCS4cYNdW6GhVBCEhABB\nQUC7dpaIVZFlqWoCFY8LCkXC5evri8WLF8PLywsVKlRAUlJStvXExER4e3ujSpUqOHToUIGs+fr6\nWt1rVpJ9HGEyAc2aAZcuUccaFsbINCOD5KsgMZGpg6NHgZ9+YsTq6ZndmUuFiscRhZYRc3Z2hpeX\nFzp27IgrV65kWwsLC4O/vz/8/f0LZC08PPyxi1AfFiIkWIAkGh7O382a0Rh74kQavqxbx3Pr1AG+\n+gro0UNtJlChAkDBaZTi4+Pl999/z3y+f/9+mTRpkoiIPPHEE7J3714REQkNDZVKlSqJXq8Xs9lc\nIGuVK1cWvV6fY88F+PUUCRiNlFQZjXyemiqSlCTy+eciTk4i7dvz+aFDlGD5+oqsXSsSFydi5etT\noUKFFKCE68qVKxg+fDjq1q2L/v37o3Tp0vjiC3ZBbd26FdOmTUNoaCiCgoKwY8cOuNwtQRfE2vbt\n2zPXihtSUijyT09nnjM9nT9mM81VMjIsQwQVLwF7e4urVUYG52M98QSnu65cCbz8Mr1hIyOZIujU\niXIsg4GSq+nTaUd48SJtCnv3puG2ChUqrKCwWb4oo6h/PTqdyIABIp6eImPHiqSkiJw9K1K3rkiT\nJiKRkSLLl/P5t9+K3LkjMno0o9B69fh8+HCR2rVFoqJEHB25Zm8vEh8v8v33IrNm8RggcvGiSIcO\nIgEBvPbyZTWCVaHiQVBVisUY4eHAb7+x6PTtt9SifvUVj588SSNs5bzPPqNc6scfeSwsjBFvYCCj\n1bQ05loBFrvMZh7r1Mkis9q6lZKt9u2Bq1eBChUsmldbIiXF8qNCRXGHSrLFGNWqWW7Ty5cnGZYr\nZ1mvWdNCVErqoFkzPlfIcexYSrESEjhDq1Ur4LvvSLwjR5JoIyJIygEB1LsePAgsWZI/n0mnA+bN\nA555Bpgxg89VqCjOUK0Oc0FhDlJ8GOj1wLVrnIP18suMLDMyaMLi6srpAufPA+vXs9PK2ZnnHD/O\nRgFXV+ZZy5VjrvbqVV5fuTKnGSjWg6+8Avz6K9CzJ120lJHcTzyR98GFOh1w4QL39cILOZsRoqM5\ny8vZmX8ktm3jbxUqiitUks0FRZ1k7wez2XK77+LC23+Nhs81Gv7Y2VnWRCxtsZcv0/v17bcpw6pb\nlymG8HDO5VImwrq4sOCWVwQFsdVWBGjTBvjzz+zG3CkpHFmzbh0J2dubZH9P/4gKFcUGarqgGEOr\nZSRqNFryqQAJ1MGBUaK9PcnQ0ZHEGBMDdO/O2/7kZK4bDMCxY7yuYkXgnXc4PXbgQGD2bL5mmzZA\n1arM/So53PT0vO/5+HESLACcPs29paRwDykp3PeffwLjxjHarl0buKdXRYWKYgWVZIspUlKAxYtJ\nnL6+NGR5ELRaYNgw5lS3bgU+/5wE9tFHJFGzmTnbGTOAtm2BQYNIghcukHybNiX5paczGo6MZMrC\naHzweysYNAh48kkS9cyZvP5//yOBv/kmCbhMGRb0AODWLWDfvkf6ilSoKBJQSbaYwt6eSgKNhkS0\nZIklQrwfNBq2uiro0YO/Dxzg75s3eSs/axYJ1cUFWLMGiI9nDnXPHr5X2bLs9rpzh5HnjBnAH388\nXJGqTBng339pEDN0KKPnqVP5WuvWAWfPMqrt1o3ne3ryD8C90OnYwvvtt/wDo4ysUaGiqEHNyeaC\nopyTTUnheG1/f5JrTAwj2pQURokZGdYdrlJSgE8/BZo0ART73FWrgNGjmUZYswbYu5ftsdWqsTmh\nTBlGk88/zwaEqVN53dixHCPj60uSPH0aaNyYBJiRQQJ9kBGMwUDTmZgY7vvqVb6vXg9cucI8sJMT\nC2GpqTSq8fYm+TZuzM9eqxb/CDxKjliFivyGGskWUzg5cVR25cokoqQkEtPQoSShX35hegBg/vTW\nLWpcTSZGwC+8wC4uR0fevickMJK8c4deBd7eTCn4+rLw5eAA9O1r6R5zcGAkfOkSrwEYCaelARs3\nkvynT+eecoNGw/zviRNMPyh/GFxdqV7w8CDBarWMmJOSgEqVGGX7+fHciAjVl1ZFEUahtUEUAxTl\nrychQaRLF0s31ksviVy9ankO0HtAhN1bHh485uMjkpZGD4K+fUVu3GC3148/cjTMnj3sItNqRapX\nF5k5U+TECb6fCLvMTp9mN1lsrMiSJewYGzyYazqdiJ2dZQ9BQTn3rtPx9bRaPk9JEfnpJ5Hmzdlh\nphy/9/MePSqyYoVIs2YiEyeK3LzJ9/7xR75GVmi1fJ/4eHXEjYrChZouyAVFOV2g0zEivWv/gG+/\npRa2alVGq9Wq8dbb0ZEV/WeftVwbGwu4uwNHjvC2OyKCv1u3ZuTp5MRINSmJ+dp27Xh+Vk2swUC5\n1+3btDV0dORrGAzU4qakMEoND6fPgQKtFtiwgUW7F1+k7jYlhRG5gitXLFGqgowMFtjc3fkYYLda\n06YsxGVNjaSl0dv29Glgzhzuf8IE1RVMReFAJdlcUJRJFiAh7t9PgmvdmsfOnWNONSAA8PLiml7P\nfOuBA6zuL1hAwlFmbRmNJGYnp7wRkdlsIWVFx5qWRjXC/PksXnXokF0HGxdHpYLytUZEkDgrVyZZ\n2tsD16+zuGZvzz06ODAdkJbG/PHEifwjExJCglf2otPxMz79NF/Ty8uifDh82PIdiVjSHipU5DdU\nks0FRZ1k8wKFrNLTs5NefkBphHByIlFmRVISSTY9ncR5/Toj4KAgYPVqoFcv7q9tW+pko6I4aWHP\nHha93nyTExqOHaOvgvJZ0tNZCLt6Ffj5Z2DAAL7X5MnAokWMepVC2eLFQMeOzDubzSRkFSryCyrJ\n5oKSRLJFBTodCXXZMqB/f0ukGxzMtEZ4OAtwISGMqlu25KSFp5/m9fb2LOK5ujIaNRr52Gjk6/zw\nA1MNw4czOt6xg7KwunVJ5m+9xTSFnR0Lfw0bUlGR3394VDy+KJTxMyoeX7i5Uff6zDNUDShphlq1\n2M4bGUnNbVoao9GIiOy5YI2GqY1bt6iT/f13StJq1aKaoUsXkndsLH/mzGHqxMODEq9XX6X/bcWK\njHSvXAHWruXkXBUq8gNqJJsL1Ei2YJGWxrTG338D27ezsJeUxGLe77/TtGbgQJKljw/w/vvU71ar\nRpew1FSS9htvMLUAACtWMHIVYf7YbOY57doxfw0wh+3vX3ifW0XJhhrJqigycHCgvnfiRD6/coUu\nXMp0hubNmWqIj6daIjCQ5ylqA42GUe+KFTy/WjVGzRkZJO6mTenw9f77TCMsWgQ89RRbic1mRsiq\nEY0KW0OVcKsoMhBhNKvAYODvtDTgtdeYO/XwYM7V1RUYM4YKhk2baFy+di0LYGPHMm3g58emhWbN\ngH79WEjT65lqGDbMkrpwcKCV4+efk8BzmRCvQkWeoaYLcoGaLih46HR0AYuOZqeZtzfJdv58zhcD\n6NNgMFCOlp7OSHX2bBrOfP45dbpBQczRliuXvbX333/ZMnzyJOVf7u7041VajJ99lukDay3JKlQ8\nCtRIVkWRgpsbCXPNGuZdHRx4bMQIqgROnKAiYP9+i6524EASLMAW41u3KAVTTMfffptrzZoB9eqx\ngeObb0i0rq6UkSm4eZPKA8U+UtESq1DxqFAj2VygRrJFC0rUGhlpMY5JT2dU++23TA+88gq9FMqX\ntygRUlMZsaan83mtWjx27hwfa7VUHVy6xOm7fn4kcgcHSy7XQa1eqHhEFCjJHjhwAO+99x6uXr2K\nli1bYtGiRahRowYOHz6MXbt2oVy5cjh+/DgmT56MunXrAgBu3LiBL7/8Ek8++SSOHj2KcePGoWHD\nhvm2lhUqyRYfGI2Maq0ZxSjmOZGR1MuePs1WXzc3ErGbG9MUGg3zsa++SuNwgKT900/ZZ6fdC5OJ\n15tMbBH28lJ1tyqyoKBMEmJiYmTIkCESHBwsO3fuFB8fH+nYsaOYTCapWbOmmEwmERHZv3+/dOzY\nUUREzGazNGnSRHbv3i0iIufPnxc/Pz8xmUw2X8vIyMix5wL8elTkM/R6kcREmsWYTDS3adlS5Nln\nOep8714aymi1ItOnWwxu5swR2b6dBjRpaTScOXaM50VFiWzdSqOa8HCRzZtpuHPqFF/LbM6+h/R0\n/qSm5jS0UVFyUWAssmbNGknOYoe0dOlScXZ2ltu3b4uLi4uk3P1Xd/r0aWnatKmIiOzatUtcXFzE\naDRmXlenTh3ZsGFDvqzdC5VkSyaSkkRefdVCpL16ifz5J49FRpIADx4k8Z47J1KunMitWyRYd3de\n0769SFwcCfqVV0Tee4+v+9FHIsHBPHfGDL6u4ip286ZI1aoiGo3I99+rRPu4oMAyTQMGDMj2vFKl\nSvDx8UH58uXRtGlTDBkyBMuWLcPcuXMxffp0AMCRI0dQs2ZNOGRJiNWpUwd79+5FxYoV4efnZ9O1\nF5USs4oSj6pVLY+rVOHtfng4JVy3btHnYPhwNkVUqUK1QUIC56IBLLy5uzOd8PffPFa+PDvJypVj\nu/CZM5Zz27alZ8LNmzz2zTds8VVR8lFo6fyTJ09ixIgRAID169ejQ4cOqFq1KhYuXIhud2ePREdH\nw/0e9w5PT09ERUXBbDbDw8PDJmseHh6Iioqy9UdUUQDQ6eiwFRbG1tgHTWIAWBgbP565U5OJyoXX\nXgO+/JJyrvh44LPPgO+/p7SrfXvmWj09qXi4do3n6/XZ1QfKVGAPDxrVKLh4kQ5gzz9PiZnZzOdG\nIzXAJhNbjLOa6ZhMXBNhnllpuFDNbIofCoVkdTodgoOD8euvvwIgmXbs2BHR0dEICAiAg4MDXnrp\nJTg4OMDxnhYcs9kMEbH52v0wZcqUzMft27dH+/btH+ETq8gvHDhgmVW2ZQvbb+8lWkXqpZDYmTMc\nCDl0KJUDrq5saNi0ieT66acWsuzWjQTr5kaFQXg4nyuWkL/9xg6ySpWADz6gljc6mp1rH39MLe6A\nAdT+9u3L946JofHNrVskcbOZLmMVK5K0U1LY7Va7NrvaKlSg+1jVqpw6oRJt8UKhkOysWbMwd+5c\n2NnZQa/Xo1u3bggODkb58uXx6aef4o033kCXLl1QpUoVHD58ONu1iYmJ8Pb2RpUqVXDo0CGbrfn6\n+lrda1aSVVG0IEL3LgUXLuSUWiUnU0NbuTJv/11daXNYqRIwbRoJ1cODjQ8//cTIOKtxucmUk7Sz\nGtY4OwNLlzLadHSklKxUKTZRnD7N9794kaS7cCE70davp6l4SAhNcXr3Br7+mvuMiaF8TK8HunZl\nF1vLlpxhdv48h1x+9ln+S8p0OpL/w9wZqHgACjoJvGDBArl06VLm83///VcqVqyY+TwjI0M8PDzk\n+PHjEhgYKGXKlMl2fc2aNWXt2rX5snYvCuHrUZFHJCZSJVCxosimTdlH1yQminTvbilwffediFLv\n1GpFMjJELl9mMQoQKVuWlf833xTZudP6GJx7YTCw4JWebjmWkiKyeLHIoUNUIly/LuLkxPcYN07k\n8GHLiJ7+/UWOH+cYH5NJZPlyy37t7Xmsc2fLsYULeSw3pKZSTZGltpt5PD2de1Y+m04n8vvvLPAp\nhTidTuSDD0QCAkRu386pklCRNxQoiyxdulRWrlwpoaGhEhoaKvv375fvvvtOypYtKzdv3hQREb1e\nL1WqVJHk5GQxm83yxBNPyN69e0VEJDQ0VCpVqiR6vd6ma5UrVxa9Xp9jvyrJFn2YzSQHvT4nKSYm\nijzzjIWgPv6YMqys0GpJxL6+JOnVqy0Ed+NG7u+t1Yr8+itnou3axffT6UT8/fkaGo1IYCD3dv48\n55hptSJTp1r2VLUqr1P2fvs2Z6sBIqNGUdWQmCgyebLIggU87+ZNEmZaWnZyF+H7r1kjsns3HxsM\nPG4ykUg9PUUcHETWrePr9uzJ97Kz417T00UmTbLsr1s3kTt3Hv2/j4oCVBfs3LkTw4cPh8lkyjym\n0WgQHh6OJ598Eh999BGeeeYZREZGYtWqVShz9z5l69atmDZtGkJDQxEUFIQdO3bAxcXFpmvb/5+9\nM4+Lqt7//2tYHUAQE0FUEBfUG2qilbZcoUzTsl83rUxNK7PU1FuWt03NJdOszG/mUpZLuaSpZamp\nKEiidsktUZZr7qCAqSwzwzLL+/fHu5lhBEaW2YD38/HgIed8zjnzmSPzmvd5f97Ltm2mMaFuoVBU\nXmdAqeRKWy+8wH7NqVMtH/UB9rWuX8+P+6WlnEkGsJvgVp12s7M5pRfgMoyXL7P74Ngx3kfEHRx6\n9+ZFs7Q0roE7ejS7D65c4QU4hYJfX6Vid8aff7JfVqnkRbqJE7n+7o0b7JIICOBFsUWL+JF+yhQ+\nT63m/mmPPcbHqdX8fr282Ne7aBEX0gE4uqFvX67lAPB19u/n4ug3F+lRq7kdkFBDnK3yrozcnrpP\nSQlbbHl5tz62sJBo2TLuhjtv3q3dBamplo/2OTnsgli2jMjTk+j2281dflUqou3biSZMIMrOZovR\n2DU4KYkt2jvuILpwgV0IX3/NlvSWLebX8PExn3P+PFuZANHYsZxkYbSIf/+dqHFjHps3j9+XVku0\nYYP5Wq+9xnNbtIit2DZt2Gp+7TW+1rPPcvxwRgbHAgs1R2oXWEHSahseajWHVnl63jo1Vq3mxayf\nf+bSib16mbvuKpV8HS8vc6qvwcCWYaNG5kaOBQVcbvHECd6ePJmt6ffe40Uwg4GjFo4c4XY5ajWH\nf23fzk0pZ87kqIWVK9miLynhffPn8/Xat+dCOI0b87lnzrBFfOedbP0WFPB8iIC4OC6s8/XXHFWR\nk8NWbZcukiZcG6QKlyCUwdeXH+2rIiq+vpxQ8P33wOOPs8D6+fGPuzuLV9laCm5uLL5lO+USWbZM\n79CBH+nvuIPdFytXcuTBt99yK569e/k6PXvyte65h6uWNW5sDlMbMMBcfPzRRy3n27Urd4UwhqAd\nPszvd9QoDhHz82N3Rnw80LYti7EIbO0QS9YKYskKjkCt5hq5oaHsJ927lzPGxo3jONxffmG/rq8v\nW54qFWeV6XRsaZaW8ravL/uR9Xo+5vp1c4HzwkJ+La3WXD5Sr2cr/MkneeyLL7g4zo0b7Pf94w8W\n8+q0iRfKIyJrBRFZwdGcPs3ugscf5xja0FBeSCspYWtVqeTFrIICYNIkYPVqPu/QIa4w9uijwNWr\nnMrr5cUugNhYFtw//+Q425gYTsa4cYOt7enTOaZ36lRe+HJz49cYOpSvsX69FDGvDeIuEAQXomVL\nTlJYtoz9vLt2sY80LIzdEceOsYtBoTD3OBs2jC3WBQt4n17P1mqHDjzWpQunA7/6KkcQqNXs0z14\nkEX6kUe4q29gIGe93X8/X3ftWvb7St+z2iEiKwguhI8Pi2NQENdOaN2axQ5ga3b9ev7XzY0tz6ef\n5poLv/zCPlSA03MzM83hWn/9xfUYWrXi7YAAzo6bOpVFWKPhmrvBwdw14q+/2ILdsoWz4rRax9+H\n+oS4C6wg7gLB2ahUwMKFwLRpLHwJCeyfLSpiXywRpwsnJHDM63//yyL54ovAyJFcz2HoUGDpUq6H\nsHAhRyP06cORBEZ/cGQkRzYkJwMzZvA1Ondm90GjRs6+C3UbEVkriMgKroBazaLn58c+WR8ftkQ/\n/pibRb75Jj/2BwYCX37Jj/8KBYuwry/7YuPjOWLh9ts5HOzPP7mDr7c3+2bz8tglYTBwRbOSEoks\nsBUislYQkRVcjaIitmi//ZZLNGZns6C+9x6Hb82axT5ZnY79t76+HFdrMLAFO3cunx8czC6Ef/2L\nLdVt2ziUS7A9IrJWEJEVXAm9nqMA3niDq3P16sW+2YMH2cLV69navXSJExC8vMwNJzMz2c3w559c\nKtHTk+vpGq/r52cZvyvYDunBKQh1BI2Gfar79nHIVmoqW7aXLnFd3eBgdgE0b85iHBjIIhsezotp\nhYUcItahA/9I/KtjEEvWCmLJCq5EaSmwZg1nZCmVnCxg9KkGBrJfNTKSH/8LC9kyJZKasM5GRNYK\nIrKCq2HsRabRAFFR3JXhkUfYbTBgAMfVRkVxvK0sWrkGIrJWEJEVnI1Ox9ZoRQkBBQUcMXDuHNCv\nHy+GhYay4Kanm+NmBeciPllBcFE0Gs7EKiriNNibLVMfH/bLXr3Ki1gPP8yLWHo9Z42JyLoGIrKC\n4EIYSy16eAAffMAhVwBX4Fq0yLKJoocH/7RuzUkLffpwpMGdd3KBGcE1kLRaQXARNBpuxPj002yd\nZmebx4y1ZSvDz4+t3dJSTjwQf6zrID5ZK4hPVqgJajXHpe7fz8H+AQFV6y6bkGC2QJ98kjvoPvUU\nuwvWreNQLGNbc6HuICJrBRFZoSqo1Wx56vW88HT9OvtDS0s5VfX0aU4MuBVJSeYKWP7+nJGlVvO2\nr6/924AL9kHcBYJQC0pKgK1budRg+/bAr79yVlVpKY9fvGj+HWCXQGkp/xQVWV6re3fucvDUU1y4\nW6djK7iqlrDgmojICkItKC7mkoBGvv2Wuwn068eJAv/5DycFFBby4tTBgyyagYFcqKVsGUFjO5vl\nyzk0S6pf1Q9cSmTPnz+P+fPnY9WqVbh69aqzpyMIt0Sp5LKCHh7sL338cY5T3bSJRfWdd1hkZ87k\nfloLFrAwazRcL1ajYYtWq+X97u7sKhDLtf7gUJFNTExEt27d4O/vj/79++PSpUumsY0bN2LYsGF4\n8skn8dxzzyEoKAgAkJWVhfHjx2PZsmUYNWoUTp06ZTrHHmOCUB28vNiP+tdf7JcdMIAFs107TiB4\n9lne/8kn3CnW6HMFeJHL3R347TeuO9C5M5CVxckHQj3Cvh3HzeTk5NDIkSMpJSWFdu7cSeHh4dS3\nb18iIkpISKCgoCDKysqyOMdgMFB0dDTFxcUREVFqaipFRESQXq+3+ZhOpys3ZwfeHqEecewYEUsl\nUdu2RHl5RL6+RCEhRKdPEx06RHTgAJFKxWN3320+/qWXeL9Qf3CYiqxfv54KCgpM2ytXrqRGjRoR\nEVGnTp1o9uzZ5c7ZvXs3KZVK0mq1pn2RkZG0adMmu4zdjIisUBPUaqLevVk0Bw0iKiggOnWK6L33\niH7/nWj3bqKMDD42P59ozBizyC5bRlRa6tTpCzbGYZ6foUOHWmwHBwcjPDwchw4dQkZGBs6fP48h\nQ4bg1KlTmDBhAl555RUcOHAAbdu2hUcZB1VkZCTi4+PRvHlzRERE2HRs8ODBdrwDQkPBx4cTAvR6\n9sf6+AD/+Af7Z3NyuNeWsTKWvz+XL4yN5bbe998vjQvrG05zrx89ehRjx47F4cOH0bhxY8ybNw/N\nmjXD0aNHcdddd6Fnz57Izs6Gf9k8QgBNmjRBZmYmDAYDAgICbDIWEBCAzMzMCuc5Y8YM0+8xMTGI\niYmp+ZsWGgwVRQYYi2jfjI8P8Mwz9p+T4BycIrJqtRopKSlYu3Yt5s+fj44dO6JZs2YAgOjoaPTs\n2RPbtm2Dp6cnPG/6WjcYDCAieHh42HSsMsqKrCAIQnVxSgjXxx9/jEWLFsHd3R0hISFQG9Na/qZ1\n69a4fv06WrRogfz8fIuxvLw8tGzZ0i5jgiAItsbhIrt8+XKMGDHCFKLVo0cPXLx4EdoyUdlFRUVo\n27YtYmNjcfbsWYvz09PTERsba9OxjIwMcQMIgmAXHCqyq1atglKphFarRXp6OhITE3Hs2DGTewAA\nSktLkZKSghEjRqBXr14IDw9HQkICABZKtVqNQYMG2XRMo9Fg0KBBjrwVgiA0EBzmk925cyfGjBkD\nvV5v2qdQKJCRkYEHH3wQr7/+OjIyMpCZmYnly5cjODgYALB161bMmjULaWlpSE5Oxvbt26FUKm06\ntm3bNtOYIAiCLZEqXFaQKlyCINQWl6pdIAiCUN8QkRUEQbAjIrKCIAh2RERWEATBjojICoIg2BER\nWUEQBDsiIisIgmBHRGQFQRDsiIisIAiCHRGRFQRBsCMisoIgCHZERFYQBMGOiMgKgiDYERFZQRAE\nOyIiKwiCYEdEZAVBEOyIiKwgCIIdEZEVBEGwIyKygiAIdkREVhAEwY6IyAqCINgRh4psYmIiunXr\nBn9/f/Tv3x+XLl2yGDcYDIiNjUViYqJpX1ZWFsaPH49ly5Zh1KhROHXqlF3HBEEQbAo5iJycHBo5\nciSlpKTQzp07KTw8nPr27WtxzOeff05NmzalxMREIiIyGAwUHR1NcXFN0XoTAAAgAElEQVRxRESU\nmppKERERpNfrbT6m0+nKzdmBt6dWJCQkOHsKVaauzFXmaXvqylxtPU+HWbLx8fH4/PPPERUVhf79\n+2PGjBlISkoyjSclJSEiIgL+/v6mfXv27EFaWhpiYmIAAJ07d4anpyd++OEHm4/9+OOPjrgNdmHf\nvn3OnkKVqStzlXnanroyV1vP02EiO3ToUDRu3Ni0HRwcjPDwcADAtWvXcPDgQQwcONDinAMHDqBt\n27bw8PAw7YuMjER8fDwOHjyIiIgIm44JgiDYGo9bH2Ifjh49irFjxwIAFi5ciGnTppU7Jjs728Ky\nBYAmTZogMzMTBoMBAQEBNhkLCAhAZmamLd6WIAiCBU4RWbVajZSUFKxduxbLly/H8OHD4eXlZRon\nIp6chwc8PT0tzjUYDCAim49VhkKhqNF7dDQzZ8509hSqTF2Zq8zT9tSVuc6YMcNm13KKyH788cdY\ntGgR3N3dsXz5ckyaNMk0VlJSgn79+uHxxx9Ht27dLPy2AJCXl4ewsDC0aNEC+/fvt9lYmzZtys3T\nKPaCIAg1xeFxssuXL8eIESMQFBQEgP2uRUVFpp/w8HDExcVhw4YNiImJwdmzZy3OT09PR2xsLGJj\nY202lpGRYVoIEwRBsCUOFdlVq1ZBqVRCq9UiPT0diYmJWLduXbnjjBZk7969ER4ejoSEBAAslGq1\nGoMGDUKvXr1sNqbRaDBo0CBH3IJ6SXFxMQoKCpw9jVsi82y4OPWe2jQgzAq//PILeXh4kEKhMP24\nubnR6dOnLY5r06aNKU6WiOjMmTM0atQoWrx4MY0aNYoOHz5s07HBgwfTxIkTaeXKlZSbm2vHO1Az\n9u/fT9OmTaNPP/2Uhg8fTunp6URElJmZSePGjaOlS5fSyJEj6eTJk6ZzrI3ZEoPBQCtXrqTWrVvT\nnj17qvT6zph3ZfPct28fde3alRo3bkz9+vWjixcvuuQ8jej1eoqJiaF9+/Y5dZ5lKSoqovz8/HL7\nz507Rx9++KHTP1eV3dPKPldEtr+ndSPa3k5s2LCBevfuTWfPnjXtc/YfbVl0Oh21a9eO9Ho9EbEo\nGBM4bJFsUVtyc3Pp0qVLpFAoaO/evURk+wQSW8y7onlaS45xpXmWxRbJOrb6O7D2hVDR54rIOZ+t\niu6ptc+VPe5pgxXZhIQECgoKoqysLNM+Z/7RVkRubi4plUoqLCwkIqLjx49Tjx49KC4ujpRKJWm1\nWtOxkZGRtGnTJtq9e3elY/ai7B+wtdev6Zg95rl+/XoqKCgwja1cuZIaNWpUq/dgj3ka2b9/P23f\nvt3iSc+Z86zsC6GizxWR8z9bZedZ2eeKyD73tEEWiCEijBs3DpMmTUJoaKhpv6tligUFBaFHjx4Y\nOXIkCgoKsGjRIsyePduUHeeKyRb2SCCxB9aSY2r6HuyFrZN1bEFQUBBatWplsa+yzxXgWp+tyj5X\ngH3uaYMU2UOHDiEjIwPnz5/HkCFD0LlzZyxevBgHDhxwGREw8v333yM9PR2hoaF48MEHMWDAAGRn\nZ1eabFHRmCOTLawlkLjyvMsmx1T3Pdh7ngsXLsSrr75abr+rzbOyzxXgel9cFX2uAPvcU6dlfDmT\nI0eOoHHjxpg3bx6aNWuGo0eP4q677sJDDz3kcpli2dnZ6Nu3L7Kzs/Hcc8+ZkilslWxhaxyVJGJL\njMkxxkgXV5qnrZN17Elln6uePXtWO3vT3p+tij5XTz75pF3uaYO0ZFUqFTp27IhmzZoBAKKjo9Gz\nZ0+0b9/epf5oNRoNBgwYgOnTp2Pjxo2YMmUKRo8ejaCgIOTn51scm5eXh5YtW6JFixaVjjmC0NDQ\nGs3NmfM2Jse4ufHHoabvwR4sX74c3bt3h1KphFKpxIULF9CvXz88/fTTLjVPoPLP1bZt21zKMKjs\nc1VQUGCXv9EGKbIhISFQq9UW+1q1aoXFixeXi6Vz5h/tyZMnYTAYTH+0M2fOhJubW7WTNByZbGHL\nBBJHzPvm5BitVutS80xOTrZZso6972dwcHC5z1Xr1q1x/fp1l/qCrexzdfr0aTzwwAM2v6cNUmR7\n9+6NixcvQqvVmvaVlJRgxowZOHPmjMWxzvyj7dChA0pLS3HlyhUAQGlpKXx9fXHHHXe4TLKF0eIg\nOySQ2HLeN88TqDw5prrvwd7zvJma3mt7J93cc8895T5XRUVFaNu2rVO/uG6+pxV9rnx8fBAZGWmf\nv9HahkbUVfr06UNbtmwhIqKSkhIKCwujK1euUFRUFMXHxxMRUVpaGgUHB5NGoyGDwVBuLCQkhDQa\njV3nuWfPHnrmmWfok08+oVdffdUUhlLTRAxbkpubS3PmzCE3Nzd64YUXKC0trVZzs9e8K5rnrZJj\nXGWeN2OrZB1boNfrSaFQWMTJVvS5ys7OrvDz44jPVmX3tLLPFZHt76mCqGFWQcnMzMTrr7+O7t27\nIzMzE4899hj69euHs2fPYtasWbjrrruQnJyMiRMnokePHgBgdUwQGhJXr17F8uXLMW3aNDz33HOY\nMmUKOnXqVOnnCrD++anPn60GK7KCIAiOoEH6ZAVBEByFiKwgCIIdEZEVBEGwIyKyQoPn2LFj5eI7\na0tRURGuXbtm02sKdRMRWaFBs3jxYvTo0cMmgjhixAi4ubnBzc0NLVu2hK+vLwAgPz8fkyZNwtKl\nS/Hiiy/i119/NZ1jbUyoH0h0gdDgcXNzw/nz5xEWFlbja1y5cgXz5s3DqFGjAADNmzc3Val64okn\nMHDgQLz44ou4fv06oqKicOrUKQQGBlY4dvLkSTRt2tQm701wPmLJCoINWLJkCby9veHu7o7o6GiT\nwJ4+fRo//vgjHn74YQBA06ZN0aVLF6xYsaLSsZUrVzrtfQi2R0RWcEmICO+++y6+++47DB48GKtX\nr67wuBkzZmDx4sV488038eGHHwLglMwnnngCs2fPxksvvYSWLVti+vTppnOuXLmCl156CZ9++inm\nzp1b4XU1Gg1mzZqFBx54AIsXL0br1q3RuXNnJCcnV3j8xYsXsXHjRnTv3h19+/ZFXl4eAC7xp1Qq\nLWqvGsv4WRsT6hG1zlsTBDtw7Ngxeuyxx4iISKPR0ObNm8sdk56eTj4+PkTEvabc3d1N/aaeeeYZ\nGjRoEBUXF1NKSgp5eXlRSUkJERH17duXfvvtNyIiysrKIoVCQRcuXCh3/S1btpC/vz+lpKSQVqul\nIUOGUPv27U1tSypix44dFBwcTEOGDCEiorlz51KLFi0sjnn33Xepa9euNG/evErHhPqDWLKCSxIS\nEoI9e/Zg/vz58Pb2xr/+9a9yx0RGRuLQoUMgIuzbtw8Gg8FUzcnb2xs9e/aEt7c3br/9dmi1WuTm\n5iI1NRWHDh3C3XffDQDlKviXJTAwEE2bNkVUVBQ8PDzw7rvv4syZMzh9+nSl5wwYMABr1qzBli1b\nUFRUVOP6ukL9QURWcElCQkKwfv16fPDBB7jnnntw6dKlcscoFApkZmZi5syZ6N69OwDL6lXG3xUK\nBQAWsLS0NCiVyhrNqX379gA4PMsaDz74IHx9fVFYWFhpGb9WrVpZHRPqDyKygkuSk5ODRx99FKmp\nqfDz88MLL7xQ7pgjR47gtddew4wZMxAcHFxu3CiuZfH19cW1a9dw/fr1as9JpVLBw8PDJLaVYaz0\nHxQUhJiYGBQWFlqEiKWnpyMmJsbqmFB/EJEVXJL09HTs3bsXoaGh+Pjjj6FSqcods2/fPmi1Wuh0\nOvz+++8AgBs3bkCn00Gv15ssWb1ebzqnd+/eCAwMxJw5cwDAVD84Ozu7wnkUFRWZrrNt2zaMHj0a\nfn5+FsecPn0an332GYqLiwEAX331Ff79739DoVCgZcuWePjhh/HTTz+Z5nfixAkMGzYMoaGhlY4J\n9QcRWcFlGTt2LL788kusWbMGCxYsKDc+cOBA6PV6dO3aFenp6bj33nvxxhtvIDU1Fb///juSkpKQ\nmZmJFStWQKFQYP369QgICMDGjRuxY8cOdOnSBdu2bUOXLl2QnJxcYcsTnU6HadOmYerUqUhOTsYn\nn3xS7pi8vDwsWLAAvXv3xty5c6FUKvHGG2+Yxr/55hvs378fixYtwptvvom1a9eaXALWxoT6gSQj\nCEIl7Nu3D88//zzOnTvn7KkIdRixZAXBCmKDCLVFRFYQKiA/Px8bN25EdnY2NmzYYNG3ShCqg7gL\nBEEQ7IhYsoIgCHZERFYQBMGOiMgKgiDYERFZQRAEOyIiKwiCYEdEZAVBEOyIiKwgCIIdEZEVBEGw\nIyKygiAIdkREVhAEwY44RWSLi4tRUFDgjJcWBEFwKA4VWSLCqlWrEBkZaSqyDACJiYno1q0b/P39\n0b9/f4tWI1lZWRg/fjyWLVuGUaNG4dSpU3YdEwRBsCmO7NqYm5tLly5dIoVCQXv37iUiopycHBo5\nciSlpKTQzp07KTw8nPr27UtERAaDgaKjoykuLo6IiFJTUykiIoL0er3Nx3Q6nSNvhSAIDQSntAQv\nK7Lr16+ngoIC09jKlSupUaNGRES0e/duUiqVpNVqTeORkZG0adMmu4wJgiDYGg9nW9JDhw612A4O\nDkZ4eDgA4MCBA2jbti08PMzTjIyMRHx8PJo3b46IiAibjg0ePNheb1MQhAaK00X2Zo4ePYqxY8cC\n4OZ2/v7+FuNNmjRBZmamqSOoLcYCAgKQmZlph3cjCEJDx6VEVq1WIyUlBevWrQMAeHh4wNPT0+IY\ng8EAIrL5WEUoFAq89957pm1jG2dBEISq4lIi+/HHH2PRokVwc+Ogh9DQUCQlJVkck5eXh7CwMLRo\n0QL79++32VibNm0qnNOMGTNq96YEQWjQuEwywvLlyzFixAgEBQUBALRaLWJjY3H27FmL49LT0xEb\nG2vTsYyMDLFQBUGwCw4XWeOjOZVpLbZq1SoolUpotVqkp6cjMTER69atQ+/evREeHo6EhAQALJRq\ntRqDBg1Cr169bDam0WgwaNAgR94GQRAaCA51F1y9ehXLly+HQqHAunXr0LJlS5w/fx5jxoyBXq83\nHadQKJCRkQEA2Lp1K2bNmoW0tDQkJydj+/btUCqVNh3btm2baUwQBMGWSLdaKygUCsjtEQShNriM\nT1YQBKE+IiIrCIJgR0RkBUEQ7IiIrCAIgh0RkRUEQbAjIrKCIAh2RERWEATBjojICoIg2BERWUEQ\nBDsiIisI9Zht27bB3d29wj52X3zxBTp16gR/f3/cf//9OHz4sF3nkpubi7Fjx+Kjjz7C2LFj8ckn\nn9zynO+++w4TJkzA3Llz8fTTT5cr7vTDDz+ga9euaNy4MaKjo7Fr1y57Tb/mOLErg8sjt0eo69x3\n333Uo0cPGjlypMX+VatW0YgRI2jLli00f/58CgwMpMDAQLpy5Ypd5lFcXEzdu3enFStWmPbde++9\n9Nlnn1V6zoYNG6h9+/amVlG7du2iiIgIU7uqhIQEGjhwIG3atIkWL15MrVq1Ii8vLzpx4oRd3kNN\nERWxgoisUJc5cOAAhYeHU3Z2NjVp0oQuXrxoGhs3bpzFsT/++CMpFAr64osv7DKX5cuXk1KppOLi\nYtO+r7/+mgIDA0mtVpc7XqfTUXh4OM2cOdNif1hYGM2ZM4eIiCZNmmTRq+/48eOkUCjo7bfftst7\nqCniLhAEB6PTAXl5gFpt39eZN28eJk+ejODgYIwaNcr0eK5SqfDSSy9ZHPvggw8CAAoKCuwyl82b\nN6NLly7w9vY27bvzzjuRl5dX4SP+4cOHcfHiRdx5550W+++8805s2LABADBkyBCLXn3dunXDbbfd\nZrf3UFNEZAXBgZSUAKmpwLPPAu+/D2g0tbvekSNH8Morr+C1117D//3f/8Hf3x9ff/01UlNTcejQ\nIYwZMwYAMHnyZKxevRrXr1+Hn58f7rjjDovrFBcXAwB69epVuwlVwh9//IHWrVtb7DNuHz9+vMLj\nyx5jpFWrVkhNTYVOp8P9999f7rzi4mK7vYeaIiIrCA6ECBg4ENi2DZg3D9i6tXbXCwgIwK5du5CY\nmIiuXbvijTfeQNu2bfHhhx/ilVdeMdVJDgsLw6BBg7Bo0aIKr5OYmIiePXvivvvuq92EKuHatWvw\n9fW12Ofn5weAF8QqOh5Ahefo9XrTeFmOHDmCpk2bYsiQIbaatk0QkRUEB6NQmH/3qGXZ/Pbt26N1\n69bo1KkTYmNjMX36dMTExKBTp06YNGmSxbHTp0/HbbfdVu4aRIQlS5bgyy+/rPR1fv31VzRq1AhK\npdLqz8svv1zh+d7e3lCUfeOAadvLy6vc8cZ91TlnwYIFWLZsGRo1alTp+3AGLtVIURDqO25uwK5d\nwLRpQJcuwCOP2Oa6ZYVFoVDg7bffLndM+/btMWHChHL7Fy5ciNGjR5dzIZTlzjvvxIkTJ245j4CA\ngAr3N2/eHOqbnNDG7dDQ0AqPL3tM2XMaNWqEwMBAi/1btmxBly5dMGDAgFvO0dGIyAqCA/HyAjp2\nBFasADw9AR8f585n165dICIMGzbM6nFKpRKRkZE1fp077rgDly5dstiXmZkJAIiKiqrweOMxt99+\nu8U5ZbcB9un+9ttvmD9/fo3nZ0/EXSAIDsbdHQgIcL7AHj16FElJSZg8ebJpX1FREc6fP1/u2MTE\nRHh4eMDT09Pqj3Gh7WaeeOIJnDx5EqWlpaZ9v//+O5o0aYL+/fuXO75Lly7o0KFDuQSJ33//HU89\n9ZRp+8KFC/jqq6/w4YcfWhyXnp5epXvgCKTHlxWkx5dQF/jnP/+J8PBwfPvtt1U+59y5cxg+fLiF\nwBYXF+PHH3/E6tWryy04FRUVlbNEKyIgIADBwcHl9peUlKBbt2545513MHLkSBARYmJi0LdvX0yb\nNg0AMG7cOGRlZeGnn34CwF2s582bh5MnT8LDwwN79+7F8OHDkZqaiqZNm+L69et47LHHMG7cOFNo\nmE6nw/bt2zFr1ixERERU+X7YE3EXCEIdZvXq1Thx4gTOnTuHDRs24Mknn4Sbm/UH1IKCAgwYMACn\nT5+2sAoB4Nlnny0nsEDt3QXe3t6Ii4vDm2++iUuXLuHy5cvo168f3n33XdMxV69eRU5Ojmn7ueee\nQ3FxMcaOHYsOHTrg6NGjiI+PR9OmTWEwGPDYY4/h0KFDOHjwoMVr3X///S4jsIBYslYRS1YQhNoi\nPllBEAQ7IiIrCIJgR0RkBUEQ7IiIrCAIgh2R6AJBuIlWK9+y+2tkPj/P7q8huAZiyQqCINgRCeGy\ngoRwCYJQW8RdIAhCtdm7dy82bNhgSn2dMmUKevbsWenxKpUKU6dORXBwMHJzc+Ht7Y05c+bA3d3d\ndMx3332HpKQktGzZEsePH8fcuXPRtm1bR7wd++KMdgxFRUWUn5/vjJeuFk66PYLg0iQlJVFQUBDd\nuHGDiIhSU1OpWbNmFu1tbmbgwIE0ffp00/YzzzxDkydPNm3fqp9XXcahKmIwGGjlypXUunVr2rNn\nj2l/ZmYmjRs3jpYuXUojR46kkydPOm2sLCKyglCee++9l55//nmLfffffz+NGTOmwuPj4uJIoVDQ\nhQsXTPv27t1Lnp6edPHixSr186rLOFRFcnNz6dKlS6RQKGjv3r1ExMIbHR1NcXFxRMTfihEREaTX\n6x06ptPpys1XRFYQLMnOziaFQkFLliyx2D958mQKDAys8JyxY8dS8+bNLfYVFBSQQqGgBQsW0G+/\n/UYKhYJ27NhhcczgwYOpa9eutn0DTsChPtmgoKBy+/bs2YO0tDTExMQAADp37gxPT0/88MMP8Pf3\nd9jYjz/+iMGDB9v5DgiOQK/ncoINgf3792PFihXw9/dHWFgYPvnkExQXF2PixImYOXOmzV+vst5b\nrVu3Rl5eHs6dO1euOEtF/b0aN26MgIAAHDt2zFSQpqJ+Xlu3boVOp7NomFjXcHoI14EDB9C2bVuL\nmxgZGYn4+HgcPHgQERERDhsT6jZqNbBzJzBzJpCdzV1h6zuhoaH49ddfsXPnTkRHR+Po0aN48skn\nMXv2bGzcuNHmr2et9xZQeb+uiip7+fn5ITc3F9evX6/0mpX186pLOF1ks7Oz4e/vb7GvSZMmyMzM\nRHZ2drl2FvYYCwgIMFVpF+oup04BAwYAs2cD994LGAzOnpH9adeuHcLCwnDPPfcgNjYWISEhWLRo\nEW677TZ8/fXXFZ4zZsyYW/bqUiqVSEpKKnduTXpveXl5lTveeI63t3eNrlmXcLoNbqy2XhaDwQAi\ncuhYZcyYMcP0e0xMjMnNILgeFy+af8/MrDsug9JSbqh4izKwVikrUF5eXrjrrrvw559/Vnjs7Nmz\nMWXKlFte8+bHd8B67y2g8n5d+fn55far1WqEhoZWu59XXcPpIhsaGlruGzMvLw9hYWFo0aIF9u/f\n75CxNm3aVDi/siIruDYDBwJPPAEcPQq8/z5QVAT8/RTrkuh0QE4O8OmnwJ13Ao8+ClTwVF0jGjdu\nXO4J0UhISAhCQkJqdN2oqCh4eHiUe/LLzMxEUFBQhV0RunfvjjVr1ljsU6vVuHHjBqKioqrVz6su\n4nR3QUxMDM6ePWuxLz09HbGxsYiNjXXIWEZGhlio9QAfH2DlSiAlBXj8cdcWWIAX6P75T+CTT4Ch\nQ4Hff7fdtc+dO4cHHnigwrHRo0ffsleXp6dnOWMEAAIDAxETE1Nh760hQ4ZU+HpPPPEEcnNzkZWV\nZdp3+PBhuLm5YciQIYiKiqpSP686i6PDGfR6PSkUClOcrMFgoKioKIqPjyciorS0NAoODiaNRuOw\nsZCQENJoNOXm6oTbIzQgtFoiX18igH/WravZdfr06UMPPPCAaTs5OZlCQkIoNze3wuOvXLlCGRkZ\nt/yp6DNBxDGuzZo1o7y8PCIiysjIID8/P8rIyCAiDvP6xz/+Qd9++63pnJiYGIs42BEjRtALL7xg\n2l65ciV17NjRlIywZ88eCg4OpmvXrtXsprgQDnUXXL16FcuXL4dCocC6devQsmVLdOrUCVu3bsWs\nWbOQlpaG5ORkbN++HUqlEgAcMrZt2zbTmCA4itJSYN064O23gW7dgP/3/8xjGg1w4QLQujW3Eb/V\n2k9RURFefPFFeHl5IScnBwkJCRWGTAK1cxcAwAMPPIAvvvgCEyZMQNeuXXH48GH88ssvph5gJSUl\nyM3NtfDD/vDDD5g8eTLee+89FBUVISgoyKLDrLV+XnUdKRBjBSkQI9gbjcYcamZ0oRYVAY88AiQk\nAMHBQGoqYE1rYmNjERERgRUrVth/wkK1cbpPVhAaMj4+LK5l16iIWGABXhizpa9WcDwiskKDpagI\nOHMG+OILTl4oLXXs65eUAFotUFwMqFTm/QoFR0oA7C64+27r19HpdCh19OSFKiMiKzRY1Gqga1dg\n7Fj2iTo6eSErCwgN5bCt9evNQqtUAps2sU82I8N6lMTq1avxxx9/ICEhAd98842IrQsiPlkriE+2\nfnP8ONC9u3k7Jwf4Oy7e7pSWAlOnAh99xNuRkcDhw0Djxo55fcFxiCUrNFgiIzl5QakEJkywXSJA\nVfD0BB56iF0DAMfLCvUTsWStIJZs/UelAho1Yv+so61ItZrTf3NygJ49eRFMqH+IyFpBRFYQhNoi\n7gJBcAIGA0cVXLnCVrRQfxGRFQQnoNEA0dEcXTBokAhtfUbcBVYQd4FgL5KTLeNfr14FmjVz3nwE\n+yGWrCA4gU6dgJYt+ffoaNevGCbUHLFkrSCWrGAvSkv558wZoEMHDiOroHmAUA8QkbWCiKwgCLVF\n3AWCIAh2xOntZwTBVSgq4kd2vZ63fX25iIu7O/fgEoSaIJasIIDjVlNTeYU/IADYuhXIywOmTQM+\n+4xDrgShJsj3syCArdilSznVFWBh7dbNXMBFoQAmThSLVqg+YskKAri9i7GGKwD068d1BYxkZzu+\nFKJQP5DoAitIdEHDQq3mGq+FhRzHeukSMHIklz9cu5bdCIJQXURkrSAi27ApLTWnuzpCYI1+X72e\nkxMkbrZ+IO4CQagELy8WV0cJbEIC17h95BG2poX6gYisILgARMC4ceyu2L8fWLKE9wl1HxFZQXAB\nDAagbVvzdqdO4i6oL4hP1grikxUcSUEBsGwZ0LEj0LevY9vhCPZDRNYKIrJ1GyLO2PLyAtzqyDMb\nEVu1ajW3xfHycvaMhNpSR/70BKF6aDRcs/U//wEOHjQnGTgbjQbYsAFISqp4ThoNsHcv8PLLwM8/\nm9uEC3UXsWStIJZs3SUvD2jRglu8eHryglJQkHPnVFDA4vndd7y9aRPwr39ZWtn5+Zzaq9OxT/bC\nBaB1a+fMV7ANYskK9RKNhgUWALTaii3CoiIWPkdlcikUwPHj5u3//pdjYouLgRs3gCNHOG03JobH\niXjuQt1GRFaol/j7Ax9+CHTpAsyaxVlbZdFogHnzOGzq4kW2HO2Nuzswdy63/m7bFnj1Vbay8/KA\niAhuC/7oo8DmzcADDwCLFwPBwfafl2BfxF1gBXEX1G1UKrZS3dzKt3dZsQIYPZp/v/124LffHNMC\nRq0GvL3ZgnV353937ACeeMJ8TGkpH+flxYIs1G1cxpJNSkrC9OnTsXDhQowYMQIZGRkAgKysLIwf\nPx7Lli3DqFGjcOrUKdM59hgT6g9+fmzRViSeJSXm30tLHReT6uvLLgFvb7P74O67gfBwHn/mGZ5P\nkyYisPUGcgF0Oh21a9eO9Ho9ERHt27eP+vbtS0RE0dHRFBcXR0REqampFBERQXq9ngwGg03HdDpd\nuXm5yO0R7IBaTfTKK0T9+xOdPElUUuL4ORQWEr34ItH48UT5+UTnzxOpVI6fh2BfXEJFcnNzSalU\nUmFhIRERHT9+nHr06EFxcXGkVCpJq9Wajo2MjKRNmzbR7t27bT52MyKy9ZuCAqIbN4jK/Ck4FJ2O\nKCGByNOTyN+faNUqEdn6iEuUIA4KCkKPHj0wcuRIrFq1CosWLQQQFkEAACAASURBVMLs2bORlJSE\niIgIeJSplBwZGYn4+Hg0b97c5mODBw92zBsWXILGjZ37+u7uwJ13AleucIRBQIBkedVHXMYn+/33\n3yM9PR2hoaF48MEHMWDAAGRnZyPgphJITZo0QWZmpk3HAgICkFm2QrMgOIDCQrN/tmVLs+/YYODw\nsnPn+F8pFl63cQlLFgCys7PRt29fZGdn47nnnoOHhwc8PT3h6elpcZzBYAARmcZtNVYZM2bMMP0e\nExODGGMQoyBUgFoN7NsH5OYCTz7J1mqjRuaFtZISjigwGIChQzmqYepUYMwYs8iWlAD33MOLYl27\nAocOySJYXcYlRFaj0WDAgAFISUlBs2bNMHXqVIwePRpvvPEG8vPzLY7Ny8tDWFgYWrRogf3799ts\nrE2bNhXOrazICoI19HrO5nrxRd7eu5f7gnXrxkILcPLD9OmccLBjB+97/XVgwgTzdS5fNictnDjB\n2WodOjjsbQg2xiXcBSdPnoTBYECzZs0AADNnzoSbmxtiYmJw9uxZi2PT09MRGxuL2NhYm41lZGSI\nhSrUGq0W+OMP83ZqKourscU4ACQmcqpsu3bmdFpj+JaR0FCO3QWAzp3ZlSDUYZy88EZERNevX6cm\nTZrQ5cuXiYhIo9FQaGgo5efnU1RUFMXHxxMRUVpaGgUHB5NGoyGDwWCzsZCQENJoNOXm5SK3R6hD\nZGYSdexIdNttRD//TLR5M4eLGcnNJQoOJvrlF6JffyVasID3lY0g1Ov5nPR0/vfvyEahjuIS7oLA\nwEBs2rQJr7/+Onr27IlLly7h22+/hb+/P7Zu3YpZs2YhLS0NycnJ2L59O5RKJQDYbGzbtm2mMUGo\nDcHBwNGj7IvVaHhRq6w/VakE/vyTXQLh4cD995e/hpsbn9OxY9Vft7iY/bziu3U9JK3WCpJWK9ia\n5GTgqae40lZkJPDFF7UPJdNogNmzedHt/fc5y01wHVzCkhWE+ohazZW0yqb1xsezT/bCBS5Mc1Og\nS7XRaIAZM4CPPuLt7Gxg+XJpX+5KuMTClyDUN9Rq4K23gDfe4IgCI889Z17I+s9/al/K0GCwvH5h\noTRgdDXEkhUEG6NSsYAuXWreXrKEH+Nvu42TDPR6Lq9Y28pffn5csjEnh4V9+XJxF7gaIrKCYGOM\nvcWMFBebrUuje6C2boKyNGkCrFrFr+HvX3f6mTUUZOHLCrLwJdSUvDzgpZfYHfDll7zQJS2+GyYi\nslYQkRVqQ34+W5cBASKwDRkRWSuIyAqCUFvEeyMIgmBHRGQFQRDsiIisIAiCHRGRFQRBsCMisoIg\nCHZERFYQHEhxMXDpEvDVV0BmJm8L9RvJ+BLqPDqdWay8vPjHVdFqgS5dOIY2MJCLxAj1G7FkhTqN\nwcAW4T33cOfXM2dYdF2VnBwWWAC4cQP46y/nzkewPyKyQp1GpQLeeQdISQHS07lflkrl7FlVTmgo\nMGwYF/MeNQpo3txyPD+ff8rWPhDqNiKyQp3Gw4P7ZRlp1467ErgqPj5cqFutBj7/3LKTgVoNjB4N\n9O3LDRRFaOsHklZrBUmrrRtoNMCaNUBpKYtUXewkZDAA8+cDb7/N2x06cBub2pZCFJyPLHwJdR4f\nH654ReT4Qiw6HVBUxMLuUYtPk0LB/cGM3HabFN+uL9T4z+LixYvQaDTo1KmTLecjCDXG0QKrVgP7\n9wMbNgAjRgC9egG+vuZxYxUuX99b149VKICnn2Z/8pkzwNSpltdSqdgN4u7O9WJrI+iCY6myT7Z/\n//5Yu3YtiAgbN25E+/bt8cwzz2DmzJn2nJ8gVBm9nv2Yej0LoL1RqYBHH+WC2QMGWPpQVSpgzBhg\n0CDg9OmqtZnx8QHGjeNOB82amYtvFxayK8HYwdYYnSDUDaossn379sXw4cNx5coVvPzyy5gzZw6O\nHTuG5jcvjwqCAzEY+HHdYACuXeMY1MaNgW3b7C+0RkEHWERLS82/f/QR8P33QFISW7lFRRVfo7SU\nj9dqeb4eHkCjRpbHKJXAxx/z7+fPA5s32+XtCHaiyiKrVCqRl5eHkSNHomPHjnj99dcBAFlZWXab\nnCBYQ6MBjhzhZoXnzvFq/enTLGhvv21/n2bTpsD//R/H6C5bZl6kcnPjRAMjTZpUfo3MTG6s6OMD\n/PQTv6ebKSkB7r+ff/f0BO67z3bvQbA/VfbstGrVCrGxsWjTpg3WrVuHK1euYMmSJdiwYQPef/99\ne85RECrEYAD69GFRbdQIiI01j3XrxuPVxdify9v71j5ePz+OZhg5ksXP6EN1dwdefpkF8/JlYOZM\ntq5vpqQEWLQIuHqVtz/4AHjkkfLH+foCP/wAHDoEtG/ProSaoNEA69fzXJ98sm5GYdRFJITLChLC\n5dpcu2YWHF9frgmQkcH+0PvuK//YfSvUauDwYWDLFhbOf/yjdkJkdCeUjYUti8EA/Pwz8PjjvD1m\nDLsF7NFtVqUCpk8HPv2Ut997jzvqVjY3wXZU2ZJVq9WYP38+tFotPvjgA/zxxx/YuXMnJk+eDE9b\ntt4UhJsoLGQRLSqyXHH39mZL8Ouvgf/3/3i7Sxd+BL96lR/nyx5/KwoKOBFAp+PW2jk5tz6nuJiP\n/+svzt4qK1re3tbPdXPj1zt2DMjN5S8Ge4meTsdfQEbS0qq2GCfYAKoijz/+OEVFRdHw4cNN+/bu\n3UsvvfRSVS9R56jG7RHshEpF9OqrRB4eRP36EanVluOFhUR5efyvSkU0dy4RQOTmRvTTT0RabdVf\nKz2dzzX+5OTc+pzMTKKmTfn4Z5/leZRFreb5lZRUfR72QKslSkkhiogg6tCB6PRpIp3OuXNqKFR5\n4cvLywspKSno0qWLaV+nTp2wceNGe2i/IADgx+2FC9kS270bOH7cctzPj7vB+vmxZbZ1K+83GIAf\nf6xeKcFWrTg+NSoKWLCgalblrl3A9ev8+4YNludoNMDixRxdkJxc8aKWo/DwACIjgZMn+R6Gh7t2\n+nF9osrugnZlE8T/ZunSpWjatKlNJyQIZWnUCAgL45KAjRoBERGVH+vlxX7N//6XH9VfeKF6PlVf\nX/ZTTpnCj/JVSWnt14+jB/LygMGDWUiN5x07xtcDgPh4PsaZuHoZyPpKlUV2wIABGD58OLKzs5GX\nl4d9+/bh2LFjWLNmjT3nJzRw3Nw4TGv7dvZZBgRUfqyPD/DUU7yQ5OXF51bVWjOm5FYUBWCNZs34\nCyA3F2jRwtKSLRud4OhsNMF1qHJ0wdWrV+Ht7Y0dO3bg4sWLuO2229C/f3+0atXKphM6f/48Nm7c\niObNm+ORRx5BUFCQTa9fHSS6oGGg0XDWlrs7RxXYKrRJo+H42V9/Zes4OlrCphokVXXeBgUF0Zo1\na+zmHCYi2rBhA/Xu3ZvOnj1r2peZmUnjxo2jpUuX0siRI+nkyZN2HStLNW6PUEcpLCR67TXzYtdb\nb/ECmq3QaIhu3CAqLbXdNYW6RZVVZObMmRbiZ2THjh02mUhCQgIFBQVRVlaWaZ/BYKDo6GiKi4sj\nIqLU1FSKiIggvV5v8zFdBUutIrKui1pNpNeXX82vLnl5RI89ZhbZIUN4n6uhUhFduEB09mzt37Pg\nWKqsIsOHD6ewsDDq06cPxcTEUExMDPXp04eaNWtW60kYDAbq1KkTzZ4922L/7t27SalUkrZMHE5k\nZCRt2rTJLmM3IyLrmqhURPfey2Fa//lP7URHpyPKyCDq1InoH/8gOnPG9UKbiouJ1q8nUij4i+CL\nL9hCFuoGVV74at++PXr27IkmZRKxiQg//fRTrV0Whw4dQkZGBs6fP48hQ4bg1KlTmDBhAq5evYqI\niAh4lKnrFhkZifj4eDRv3tzmY4MHD671exHsT1ISLzJ98QWHT9Wm7J+7O0cs/P47b3t7u15oU3Ex\nsGmTuRbD5s28wCf+3bpBlf88X3nlFTRr1gyKm5ZJ+/fvX+tJHDlyBI0bN8a8efPQrFkzHD16FHfd\ndRceeughBNy0nNykSRNkZmbCYDDYbCwgIACZmZm1fh+CY4iOBt5/n1NEO3UyV8KqKZ6et673Wh0M\nBs5SI+IUWbdaNnlSKrlGwtatfO3Ro6ufMiw4jyqL7I4dO8oJrFqtRlZWVq0LxKhUKnTs2BHN/k5E\nj46ORs+ePdG+fXucOHHC4liDwQAigoeHR7l03tqMVcaMGTNMv8fExCAmJqYG71CwJb6+wD//yY0T\nAQ6s/9e/an9djcbc6bam9QOIOKV31Cje/uYbICiodiFcXl78fq9eZZH19haRrUtUWWTfeecdREZG\nmraJCOfPn8fDDz9c60mEhIRAfVPxz1atWmHx4sXo1q2bxf68vDyEhYWhRYsW2L9/v83G2rRpU+Hc\nyoqs4Bq4uVkG9hszrmqDWs2W4uzZwF13AUuX1qyOQEEB8O9/cyYYAEyaxG6NyuJ7ibim7K3qHFSn\nBoPgWlT5QWbTpk1ISEgw/ezbtw979uxBaGhorSfRu3dvXLx4EdoyFStKSkowY8YMnDlzxuLY9PR0\nxMbGIjY2FmfPnrXJWEZGhliodQgi9lH26gU89xzwzDO1v6axRXd6OlufCQk1u46bm6WgNmlSubtA\npQJ++QV4913g7Flz0W+hnlGbVTOtVkutWrWywfobUZ8+fWjLli1ERFRSUkJhYWF05coVioqKovj4\neCIiSktLo+DgYNJoNGQwGGw2FhISQpoKlmtreXuEWqJS8Sp6YSGRwWA5VlzM8af5+bZ5rdJSohYt\nzKFcR45U73xjgZqCAg4vmzKFf6zF3J48aX69oCCJpa2vVNld8Pzzz5fbd/LkSZtYsgCwZs0avP76\n68jIyEBmZiaWL1+OkJAQbN26FbNmzUJaWhqSk5Oxfft2KP9eVrXV2LZt20xjgmug0QBxccDYsUDb\ntmzxlbUQvb1v/YhdXX77jUsn/vOfXEylqqhUwGefAV9+CQwcyDVhZ83iMWu+07KlFK9dk+609ZUq\np9U+9NBDuO+++0BEpnTTZs2aYdiwYfW2SIyk1ToPjYaFztjdaO5cYPhwbpVtz0LTpaUcaVCdhaqy\nxcMB4MQJrmt7KzQa9t8mJQFvvcUFZqpSlEaoW1RZZHNzc8s1TczNzYXBYEBISIhdJudsRGSdR0EB\nF+Let4+3t2zheNZFizh0yx7dA2pKURHH7ebns0BfuMDbej0LqZdX5VZ3QQH/6+5efnFLpeLwLa3W\nXPBGqHtU+b/tq6++KrevefPmGD9+vE0nJAgAi8qmTdwKe/NmbgVjMHCxFVeraKVQcL3Yd98FDhzg\nL4DiYq7bOnYssHp15Z1z/f35pyKBXbyYxblXL96ujKIiFvjTp51bs1aomFtassuWLcOGDRtw4cIF\nhIeHW4z99ddfKCgowIULF+w6SWchlqzzMBiAM2eAtWu5tcu993KolqcnMGyYYx+rVSogO5tdCeHh\nlYdT6fXmbLHSUo5W+O473v7vfzk0rKoYDOzPNQbcfPMN8OyzFR/7559A9+48zxde4CLn1S3ZKNiP\nWy58jR07Fu7u7oiLi8MjjzxiITq+vr7o06ePXScoNEzc3IDWrYF33mHB0WpZYHU6xwpsaSmwbZs5\nTOyjj4Bx4yoWWnd3tlj/+19g715uVtiuHTBnTvU6NADchLF7d7aQ3d3598rYts1s6W7ezDG+1UWt\n5pq4+flAhw4Sl2tTqhqGUFxcXOH+y5cv1yq8wZWpxu0R6in5+UTDhplDrWJiOHSsMlJTzYVcQkKI\nioqIZs4s35vsVhgMHBb23XdEp05VHApWWspzyc0liori1xw7lsPIqoNOR7R9OxfcAYjefrv61xAq\np8ohXPPmzSuXVqtSqVBcXIzPPvvM1tovCC6Bjw/w8stsIep0wPjx1kPHLl82h2Ll5rK/dvJkvo5G\nw1llrVuzZWrNWlQo2GJ/+umKx4uKgJQUzlDr2ZPDz27c4A691Y2+KC3lzhPG7PJffgHefLN61xAq\np8oi+8MPP6B7mWcWg8GAkydPYsCAAXaZmCBUB40GOHcOCA5mkbFVmJeHB4vYtWtmn6u1kOrevTnU\n7MAB4O232c3h58dRBM89B/zwAx+3dSvw2GM1n5enJ9C/P6cXb9vG/t6afhQbNeLeaN98w26DV16p\nXWUzwZIq38pvvvkGXbt2tdiXk5OD2bNn23xSglAdCgs53nTlShaMI0c4GsFWVEewfXyAJUvM4VY+\nPuznJDJbigCXVnzkkZqXVSSyDOmqTXlGhQLo2JEtb62Wrys+WdtR5TjZilCr1WjXrh2ys7NtOSeX\nQaIL6gbFxdzO+9o13v7wQ3OXWGdiMHBUwquvcrLCvHnAQw+x9fnrr2x115TiYiA1lUs+3nUXF6Kx\nZ5KGUHOqbMnGxsaW2/fnn3/ijjvusOmEBEGtBtat45X5u+++tVWl1QLPP8/prIGBXNDaFSgs5HCz\nxETeDgri3xWK2j+ON2oEdO3K1runpwisK2P1v/rcuXPw8/NDUFAQWrVqhb59+1pYds2aNbNJ0W5B\nMFJYyCK5cydv//QTMGiQ9XMaNwZmzABef50D+12ts0FZ3NzMRb3d3MyZXMa42Org4WG9RbrgGlh1\nF7Rr1w7Tp0/HqFGjcPHiRYSFhTlybk5H3AW1R6/n1evsbCAkhIXEWsaWWs3+1IsXeXvmTGDq1LqZ\nUqrRsGvg1VfZip0/n99HUhJHB9y4wV0OGjcGDh7kLg/VzWZTqVigFQpJQHBVrP7pPv/88xj1d4n3\nb7/9tsJjkpKSbD8rod5QXMztYtq2BWJiqhaU/+mnXIe1WzdgwoS6K7CvvWauyDVnDrs9PD25JkNE\nBL9PvZ6FeMmS6icsqFTsLrj7bmD69MpTdwXnYtVdoFQqMW3aNHh4eODXX3+FXq83WXYKhQI6nQ67\nd+/Gb7/95pDJCnWPM2fMbWKSk9l6sxYC5evLoUk5ORyXaos2KwYDZ1BdvgyEhnKcq72F+/BhLn14\nxx3cNqZs6Y9GjYBLl7ik4h9/8L6+fdl1YA2Vis81GNglotfzghfA93jUKH49wbWw+qc2adIkhIeH\nIysrC3l5eTh37hzOnz+P8+fP49y5czh37hxu3LjhqLkKDoCo+haVNdq1A9q359+jozlY/lb4+rLg\n+PjYRgyLiznWtX179t0WFQFr1gCHDtnP+gsOBiZO5CD/Rx7hMK6SEv7iSEzk6mIzZnCUwcmTQGws\nz6syjFartze7FW7c4N+N1cjc3at2bwUnUNXUsG+++abC/QcOHKh12pmrUo3bUy9QqYj27CH697+J\n/viDuxLUFq2WU0ozMvh6N3c4cATp6Zwu+uCDnIb66KPmNNmdO233OhoN38OcHE5LVamIWrfm17nt\nNnMXB52O51FQwGm3S5YQdehANGcOp9KWxXi/ior4GsZ5f/QRv97Jk0STJxPFx1vvwiA4j4alItWk\noYnshQvm/HU/P9uIrC3QalmgKimfcUvUaqJ//IPo/HkWQKPwPfMMt5mxVldApeIvnDNnKhexoiKi\nkhKuW9C4MV97yRKizEyzKAJEJ06Y5/P++0QDBxIlJhJ9/bX5mKtXza+bnEw0axb/vxQU8PEKBdHc\nuSzGajXfm+Ji53x5CVWjYalINWloIvvHH5aiYK0QiqPQaFhsnnmG6Msva2at6fV8HZ2OaO1aohUr\niF57ja3r4cOJpk6t+AulsJBo2jS+FwoF0datLGplUamI3nmHaO9e/td47zp25LEnnuDt2FizmO/b\nZz7O15dF0suLxT8/nwX1/HkiDw9z/6+SEj7/jz+Ijh3jY9u2Jfrf//h9Ca5Lw1KRatLQRFatJnrj\nDaLbbydatKj8o6sjKS7m1y8tZavaKEqHD9f8mgUFRNOnE23ezGIWHW2+7uLF5a3BvDyinj3Nx4wZ\nYynyeXlEEybw2OjRRElJLJYA0aRJfKxaze+lrIj/+qv5mo0b83ucNo3o8mWiVavYnbFzp+UXnrEq\n1o0bRA8/bN7/9NPWm0lqNGaBdub/Z0OmyssKOp2u3L5r165BZa1ku1Cn8PHhUKCDBzmDyln9pjQa\nDmmaMoWlpEyn+BotyqlUXPCbCHjjDeDhhzmutKTE8ro3h0R7eppDyHx9gZdesoyMIOIFKIAXpfR6\nju9NTQU++IDP8fHhBaqy50VHAwsWAE88wc0idTq+70olsGwZV9Tq1g0YMYKjIebNM8fPengAnTub\nr3X77TzPijAYuFtCUBAvkP30k3ROcApVVeM5c+aU22cwGOj555+3qeq7EtW4PYIN2bzZbKn99BPR\njh1EDzxQs7qsGg3Rt9/y476nJ1FcHFuOpaW8IPbww1yDVaUi2rCBH+XLWqsqFVuKGk15l0JxMdHF\ni0T9+vH8MjPZNVHVeeXlWbYBV6l48Qsg6t6dKCurYgtUoyFavZpo3Trr90OtJnr5ZfO97NmTX1Nw\nLLcsEPPVV1/hwIEDOHHiBLp162aRAXX16lUkJycjNzfX3t8FTkEyvpzD6tVcFhDgdi+nTpk7Ixjr\nGKjVbN3dKmc/Lw/417/MDRmHDePOAf7+bEGqVCxB775r7ijwyy9s7VaF4mIuY+jhwXOrbZtytZob\nMfr4cFGZWz1NqFT8PoyJDmXR6YCff2aLGeAng2nTJDPM0dyyTMXzzz+Pc+fO4dKlSwgPD7cQndtv\nvx3z58+36wSFhseTT3IMa1oap6Le3Mk1P59rtTZqxEWrrRWQ8fRkkdm3j0V58GBzgoOHB2eWGYtp\nGzl2jBMiqpLi2qiR9YQJo2hevgzcc8+tvxR8fateprGoiN0M6ensUujY0VLkPTy46ldaGn/ZdO0q\nhWScQZVLHV69ehVBQUEW+/R6PdLT03H77bfbZXLORixZ51FYyD5OpdJSOPLz2Te6cSNvv/oql/uz\nJrQqFWeQeXlxwL6vLwurTsfX1uvZ4nv5ZU7/3buXq3nZgowM/re4mL84hg2zXTvzshZ/WBiLrbVs\nOltTXMx+XxFu61S54FpgYCB+/vln5OXlmYQnLy8Pn3/+Of73v//ZbYJCw6SyR1oiy8Ubjab8gtXN\n+PlZPnZrNNwJYN06thp/+40rfT3xBLslbJHKC7AIFRZyB9nAQO68W50Sh8bmhgUFnK128xdJWfeA\nh8et74Mt0Wj4y02j4acJcUFYoarO22HDhlGvXr2oc+fOFBMTQzExMRQWFkZvvfWWHVzFrkE1bo/g\nIPR6DnUaOJBo8OCaxfKqVJbhUXFxtp8nEc+td2/z60ycWPUGhcbmhsamjO++W/5ctZoXA59+muNl\nyy6i2RO1mmjKFPP7GjpUFtSsUeXv1XvuuQdr167F4cOH4eXlha5du+LatWv46KOP7PgVIAiWuLlx\nXYC1a9lnWpN6qh4e3Mjw2DE+v1s3tjr1er6+rR65FQoOwTLSunXVF8ZKStiFYbROf/mFF67K4uPD\n+7RatnJtXUeXiK1pDw+ej5cX3xuDgd02RoztdYSKqXKcbHZ2Ng4fPozo6Gh88803uHDhAm7cuIFV\nq1bZcXqCUB43N16wqmnBai8vYP9+Ls7y558sHIMGsUvhscdsF0saEACsWsWFYBYv5gaFt6q0ZcTY\n3NDXl8V6/PiKXQ1Kpf0KlRcU8MJZaCiwaRO7PgC+T/Pm8T178EGuNmYrP3N9pMoLX5s3b8bEiROx\na9cueHt7IzY2FleuXME999xTb2vKysKXa2Mw2KZK15kz5kphAAtvu3bVv45xIchgYPEzCp9ez0JZ\n3bkaq3JpteUjLGxBcTH/eHhUHCr2+edcSQzgBcOLF9l6NkZdGC1Yf/+6WfPXUdS4kWJRURFSU1MR\nFRUF79oGB7ooIrKuiVoNJCQAR4+ydRgYWLsPuUYDREYCWVlAy5bA//5XvRXz4mLu/pCRwdd46CEW\nH1uVarQHGg13aPjgAw4tmzq1/HtOTORC6wAfs2OHtLupCVX+EzAYDFi1ahU+++wzAMD//vc/HD9+\n3KYCazAYEBsbi8S/O89lZWVh/PjxWLZsGUaNGoVTp06ZjrXHmOCalJayKJw7x77B33/nR9X33gMe\neIBFTq3m4tiZmRyyVR08Pbmm6+7d/G91IgA0GuDAAXMsbFERd8697z5zyq0zKSzkGNmbs+K9vLhD\nQ2IiMHcuh5fdTI8ePP755+wTtlXURYOjqitkY8aMoaZNm9LgwYNN+zZt2kTvvvuuzVbhPv/8c2ra\ntCklJiaSwWCg6Ohoivt76Tc1NZUiIiJIr9fbfExXSRmjatwewY789RdRSAivZH/5JdFXX5lXtv39\nuQDKrl3mqlWLF1c//dYaxnq4y5ZxqcSyq/ilpUQBAUS7dxNlZxOFh5vnNmNG1dNs7YFazRENDz9M\nlJLC98mIVkvUpIl5rgcP3vp6BQUcMSFVv6pHlVVk4MCBVFJSQvPmzTPty87OpqCgIJtMZP/+/bR9\n+3Zq06YNJSYm0u7du0mpVJK2TG25yMhI2rRpk13GKkJE1jX48UezGHTuzCFYAweyoH3/PYvwqFHm\nY+6917ZlGi9fJmrUiK8dGmopViUlRGFhHKp1/TrRgAHmeWzdars5lKWkhOsp3Cpka9ky81zatbP8\n4iku5rKJI0ZUrYSkWs01Hh57jOjcufIlH4XKqbK7oHv37vC6aWl006ZN5fbVhGvXruHgwYMYOHCg\n0brGgQMHEBERAY8yz26RkZGIj4/HwYMHbT4m2J+SEl6xLiioeLy0lB/9r161bAtz771A8+b8e5s2\nvAj03Xf8aN+pE7BoEScSGP9bhw+v+ip+VbhwwVz96/Jly+gDhYJTdrt0AU6cAL7/nlfb9+7llffa\noFYDK1ZwJITxfqhUwI8/ctbbvn3W2+eUvQeenpZhVt7eXMFryRJg5Ejri2p6PTd9XLaMK3k99ZRU\n86oOVfY+9ezZExMnTsSVK1fw5ZdfIiEhAd9//z0WLlxY60ksXLgQ06ZNs9iXk5ODgJu87E2aNEFm\nZiYMBoPNxgICApCZmVnr9yBYp6QESEnh7KcWLTgt9uZF/fhzOwAAIABJREFUlBs3uBFgdjaHLH34\nIa96+/tzBEB2NocTGesFFBRw1tEPPwCbN7PP1hg7a8tUz65dgUcfBfbs4YW2splWnp4s/AsWsKh5\nenLoVW0pLOQ6C3FxvL1rF9CvH3DtGjB0KAvmli3AX39Vfo2nn+aIgIwMvk83f/G4u1c9U6usn9oe\n4WL1mSqL7OOPP47o6GisW7cOx48fR/v27XHw4EHcddddtZrA8uXLMXz48HIWsbu7OzxvKitkMBhA\nRPDw8LDpmDVmzJhh+j0mJgYxxuVWoVqUlLDApqTwz4cfAjNnWgrWtm0spADw9dfA32us8PLin7Jh\nVgAL6b//zUH7Q4awEPXqVftKWDfj4wOsX89hWRpNeatPoaheeJVaDZw9y/MMCeFFKYWC36PxOh4e\nbKkbOXqUoxa0WrNFqtfzj7V5T5nC1/fzq3mkg7s7h3JdvcrREx9/bPtwsvpMNdZRgbCwMLz11lsW\n+7777jsMHfr/2bvO8KiKLnw2vQABpENC6CJFKYKIJRRBUEARFJRipVgQlKIi/aMpWKhCUETpvUvv\nvfckhAQIgYSElO19z/fjdXJ3k900siaQ+z5PHthb5p47u/POmdOmV74FCA8PpyFiX2MiMhqN1KFD\nB2LmLIVn0tPTKSQkhCpXrkyHDx8usHOhoaEu5bMnWRkPh8qVQbBEyH7KrBG1aQNi0OlQalCvz77U\nn5cXNN+0NMSmWq0FT7ACQo6HzdHXapGtNm4c0VdfoZRj794g2Q0bUP3LxwfvM3OmVLRm4EBcU6kS\nEhvWryf6+OOczSIFpdEHBGBStFofjrCLJXJrvA0PD+eQkBD29PRkhUKR8efh4VGgRmLh+Dp27BiX\nLFnS4VzNmjV51apVbjnnDHnoHhm5gFKJfbDmzXPu/dfpsJHguXMFGx1QELDZUDxbp3s42dLT4UhL\nSUG9gc6dJefUG2841gDQaODc0modoxS0Wjj2ispGlzKyR65ZpHLlyrx582aOiYnhmzdv8s2bNzkm\nJobHjh1boAIJkrXZbNywYUPet28fMzNHRERwxYoVWafTFei5SpUqsc7Fr1Um2YKHyZT/sCaTCcQS\nH//fk3BqKnOPHgiH2rUrf8/XaJgXLEDRl4AA7IArdqpVKJiXLs3/jrwyii5ybS54+umnqUuXLlmO\nDx06tAD1agkKhYI2bdpEEydOpIiICDp16hRt27aN/P+t3lFQ57Zu3ZpxTob74Wo/qtxAo4EX/+5d\nRBOEhxPt20fUubPzZbFWCx3xwQNEJ+S0dFapJNuo1SplgHl7Y6+sX3+FXbJUqfwVRLFYiBYskMo1\nzp0Ls0G7dnhu2bLuM3fIKDy4TKtNSkqiyMjIjM+RkZEUHx9P7du3zzhmtVpp9erVNF/s2/GYQU6r\nLVrYvBlZSgJaLSpyffUV0ahRjiSq16MWa5MmsNm+/z5CvVzZeLVahH7duYPCMWFhRGfOwNl2+TIK\nYj//PNr96its41K6dN7k12jgNJowATbN7duJ2reXvfWPO1yS7PXr16lRo0ZUxb5WWybYbDZKTEwk\no/22n48RZJItWkhOxk6tKSkgp7/+QkhXt26odmVPekYj4lWFT9XXF0TqitBEMZR69RDlUKeOdO7e\nPez/NWkSPgcHY0uX/HjYtVqiW7fgQHviiaLrpdfpiE6ehHwNGhRdOR8JZGdL2Lp1a472ht3uqnhc\nBJBD98j4j2EwwHl25QqcUN27M1eujMwlsxnOKYMBtlu9nvnaNaS8EjG/+27WXV/tsWkTrgsMhP21\nRQt8rlMHbV2+DDsqEfOoUbkvvp0baDTMp04xX72ac+bVfwG1mvnbbyWH3O+/O2a5ycgbcl2Fa9as\nWTRo0KACyfB6VCBrskUXajW0UosFiQk+PliOv/YaSvD9+Se0rzJlsL9XaGhWbUytxn1mM5bvV65A\nA27WDOcTEqAp+/ggG81sRrGVgtRANRpsFim05JUrkYSQlyI1BY30dNTVFdGO/fvD1CJvMZM/5Dra\n7cKFCzR58mQaM2YMHTt2zJ0yyZCRLTQaFJGuXRsxpmYzjl+7hljTv//Gkl7sROBsfyydjqhPH8Tu\nzpkDsjabkYl28iQIt2pVqS6sKI4dElKwS2eLBZlkArt2SSm8hQU/P6LvvkPflS4NG7SIX756FTZu\nUetWRs7Icz1Zs9lM27dvp4MHD1LZsmWpf//+FBwc7C75ChXFRZO1WDCw/fwKV4PKLaxWDHqTCZ9X\nrkTpQ7MZGtihQ0TPPosyfa4CR/buhV2XCPUPjhyB1moyQXONiYH9tF69h5dXp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gFu8vQV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\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HiYnZb3Wj08HGqFYjsiCz/TI9HfbSRYtgf92yBeFVwkFnMOQ/3lOrRX0BT0+8c+nSeatQ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\n/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UdHZ6cxiAAAIABJREFULj+5dy9nrrVuzaFkV69y9MN//sNjvv2W567RAKdPs784Jobd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\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FRQWWLl2K7du3IyYmBlevXuUf01EfIb3B9evXMWXKFK19CxcuvOs2Mra2tjh9+nS7x3p4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2h4jlu2qG82H31EsZ0zh66hpk35wE35n2E/dSpjiwu0w5OUALuL7KZNm7BixQoIIdC3b194e3tj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\nRU5ErkJggg==\n", "text": [ "" ] } ], "prompt_number": 49 }, { "cell_type": "markdown", "metadata": {}, "source": [ "These scatterplots explore the relationship between our variables in the S&P. The wide range of r^2 values points to the importance of using a neural network to self-populate the weights for each variable. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "'''\n", "input: dataset\n", "\n", "function: checks for collinearity between all variables\n", " excludes percent difference, binned, and advanced columns by default\n", "\n", "return: sorted list of tuples of column names and their correlation coefficent \n", "'''\n", "def colin(df, extra=False):\n", " cols = list(df.columns)\n", " if extra == False:\n", " cols = [c for c in list(df.columns) if c[-6:] != '_pdiff' or '_bins' or '_adv']\n", " cols = combinations(cols, 2)\n", " Rs = []\n", " for col in cols:\n", " m, b, r, p, se = scipy.stats.linregress(df[col[0]], df[col[1]])\n", " Rs.append((col, (r*r)))\n", " return sorted(Rs, key=operator.itemgetter(1), reverse=True)\n", "\n", "print_num = 5\n", "print 'top %d most collinear' % print_num\n", "for i in colin(dataset)[:print_num]:\n", " print '-' * 25\n", " print clean_column_name(i[0][0])\n", " print clean_column_name(i[0][1])\n", " print i[1]" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "top 5 most collinear\n", "-------------------------" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "gdp\n", "cpi\n", "0.977857780175\n", "-------------------------\n", "gdp\n", "retail and food\n", "0.949209724486\n", "-------------------------\n", "gas price\n", "crude futures\n", "0.938690507594\n", "-------------------------\n", "gdp\n", "corporate profits\n", "0.899950823772\n", "-------------------------\n", "cpi\n", "retail and food\n", "0.892970734135\n" ] } ], "prompt_number": 50 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We printed out the collinearity between our variables and found that out of 190 combinations of variables, only four have collinearity above .9, which points to a good, mutually exclusive dataset. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "'''\n", "input: dataframe\n", " column name\n", " optional begin and end date\n", "\n", "funtion: creats a line graph of a specific coulumn name\n", " if data increases week to week fill green\n", " if data decreases week to week fill red\n", "\n", "return: none\n", "'''\n", "def filled_plt(df, col, begin_date=None, end_date=None):\n", " if begin_date == None:\n", " begin_date = df.index[0]\n", " \n", " if end_date == None:\n", " end_date = df.index[-1]\n", "\n", " temp = df.truncate(before=begin_date, after=end_date)\n", " for i in range(len(temp)-1):\n", " x = temp.index[i:i+2]\n", " y = temp[col][i:i+2]\n", " c = brewer_rg[1]\n", " if y[0] >= y[1]:\n", " c = brewer_rg[0]\n", " plt.fill_between(x, y, color=c)\n", " ymin = min([0, temp[col].min()])\n", " plt.ylim(ymin, temp[col].max())\n", " plt.xticks(rotation='vertical')\n", " plt.xlabel('date')\n", " plt.ylabel('value')\n", " plt.title('%s between %s and %s' % (clean_column_name(col), begin_date.strftime('%B %d, %Y'), end_date.strftime('%B %d, %Y')))\n", " remove_border()\n", "\n", "filled_plt(dataset, 's_and_p_500', begin_date=datetime.datetime(2011,6,7,0,0,0))#, end_date=datetime.datetime(2010,1,1,0,0,0)) " ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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Vq2Lr1q329/1W+/btQ2BgIDZu3Gjf9uGHH2Lq1KmYNm2avanZx8cHI0eOBAB89NFHOHbs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\n7twpIqJwhw8fxg8//IDi4mJ4e3tj5MiRNv22Z3+2bNkynD17VrtyDdx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"text": [ "" ] } ], "prompt_number": 54 }, { "cell_type": "markdown", "metadata": {}, "source": [ "This graph plots red for decreases and green for increases whatever input variables you provide. We used this function to explore our training and tests, seeing which variables trended up or down over different time frames. This particular iteration of this graph shows the s&p over the time period that will end up becoming our test set. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "'''\n", "input: dataframe\n", " column name to compare to (x axis)\n", " list of column names to check agreement with\n", " dict of slopes of regression lines for each dataset against the target\n", " optional begin and end date\n", "\n", "function: creats a line graph of specific column name\n", " if target data is in agreement with all specified other datasets fill green\n", " agreement is defined by the slope of the regression line \n", " (+ the two datapoints change in the same direction WoW\n", " - the two datapoints chage in opposite directions WoW)\n", "\n", "return: the number of times all specified datasets were in agreement with the target dataset\n", " total number of weeks that were checked\n", "''' \n", "def agreement_plt(df, target, var, dct, begin_date=None, end_date=None):\n", " if begin_date == None:\n", " begin_date = df.index[0]\n", " if end_date == None:\n", " end_date = df.index[-1]\n", " temp = df.truncate(before=begin_date, after=end_date)\n", " agree = 0.\n", " total = 0.\n", " title = ''\n", " for v in var:\n", " title += ' %s,' % clean_column_name(v)\n", " for i in range(len(temp)-1):\n", " x = temp.index[i:i+2]\n", " y = temp[target][i:i+2]\n", " c = dark2_colors[0]\n", " t = []\n", " for v in var:\n", " if (dct[v] > 0):\n", " if ((y[0] >= y[1]) & (temp[v][i] >= temp[v][i+1])) | ((y[0] <= y[1]) & (temp[v][i] <= temp[v][i+1])):\n", " t.append(0)\n", " else:\n", " t.append(1)\n", " else:\n", " if ((y[0] >= y[1]) & (temp[v][i] <= temp[v][i+1])) | ((y[0] <= y[1]) & (temp[v][i] >= temp[v][i+1])):\n", " t.append(0)\n", " else:\n", " t.append(1)\n", " if(sum(t) == 0):\n", " plt.fill_between(x, y, color=c)\n", " agree += 1\n", " total += 1\n", " else:\n", " plt.plot(x, y, color=dark2_colors[1])\n", " total += 1\n", " ymin = min([0, temp[target].min()])\n", " plt.ylim(ymin, temp[target].max())\n", " plt.xticks(rotation='vertical')\n", " plt.xlabel('date')\n", " plt.ylabel('value')\n", " plt.title('trends of %s and %s between %s and %s' % (title, clean_column_name(target), begin_date.strftime('%B %d, %Y'), end_date.strftime('%B %d, %Y')))\n", " remove_border()\n", " return (agree, total)\n", "\n", "agree = agreement_plt(dataset, 's_and_p_500', data.keys()[0:2], slope, begin_date=datetime.datetime(2007,6,7,0,0,0), end_date=datetime.datetime(2010,1,1,0,0,0)) \n", "print 'they are in agreement %.2f%% of the time' % (agree[0]/agree[1]*100)\n", "\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "they are in agreement 42.11% of the time\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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lypWj8ePH0+TJk6lbt25aq8afPn2azM3NqV69ejnG4e/vT02aNCFTU1Nyd3en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Ljgy5cvGBwcRExMDF68eIHc3Fz09vbi0aNHePDggcxDIiIV0ebl5eXJDkFEJIO/vz/c3Nxw9OhR\nVFdXY968eRBCIDIyEvX19SguLkZwcDD6+/vx6NEjbNmyBQ4ODsjPz4ejoyPi4uIQFBSEs2fP4syZ\nMwCA48ePQ6vVSj4yIlIDru4kIiIiskG83ElERERkgzhIIyIiIrJBHKQRERER2SAO0oiIiIhsEAdp\nRERERDaIgzQiIiIiG/Q/b6Yh53G1vGsAAAAASUVORK5CYII=\n", "text": [ "" ] } ], "prompt_number": 55 }, { "cell_type": "markdown", "metadata": {}, "source": [ "This function takes a target variable (the s&p) and a list of other variables, along with the slope of the regression line from before, then shows when all variables in agreement based on their correlation. The green bars are when all positively correlated variables line up with that week's change in the s&p and all negatively correlated variables line up with the change in the s&p. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Neural Network ##" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We originally ran the neural network using magnatude data, but found that it often failed and did not produce reliable results. Because our data had such a wide variability in the magnitude of the input variables, for example unemployment numbers are in the hundreds of thousands and the USD-Euro exchange rate is in the tenths, so we would have to have either used an extrmely high learning rate (not a good idea) or an absured number of epochs (too computationaly intensive). To fix this problem we switched to using percent differences, which made the math more tractable and allowed the neural netowrk to weight each variable from an even starting point. \n", "\n", "We also found that the neural network was very finnicky. Small changes in the learning rate, the range of randomly initialized weights, or the number of epochs used caused a wide variation in the predictive power of the neural network. We observed that with too high of a learning rate or if we used too many epochs the output would be extreme (nearly all preidictions were increases). Too few epochs or too low of a learning rate caused mostly predictions of decreases. The challenge was to balance the learning rate and number of epochs so that the network could be sufficiently trained, without overtraining and becoming one-sided." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Building the Model ###" ] }, { "cell_type": "code", "collapsed": false, "input": [ "datakeys = [x+\"_pdiff\" for x in data.keys()]\n", "\n", "data_array = dataframe_to_array(dataset, datakeys, ['s_and_p_500_pdiff_b_0.00-100.00_adv'])\n", "\n", "training = data_array[0:-100]\n", "testing = data_array[-100:]\n", "\n", "training_rows = len(training)\n", "training_columns = len(training[0])\n", "\n", "testing_rows = len(testing)\n", "testing_columns = len(testing[0])\n", "split = len(dataset) - len(testing)\n", "\n", "\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 84 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The neural network we ended up using is adapted from lab10, as it proved to be the most reliable and had the most predictive power. We also explored a few other neural network models including the one in the `PyBrain` module and others from around the internet. The neural networks we ultimately rejected were more difficult to train and often only predicted increases regardless of the data we fed it or the paramaters we changed. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "#Neural Network Class \n", "class Neural_Net:\n", " #constructor initializes a new neural network with randomly selected weights and pre-specified height, and number of neurons per layer\n", " def __init__(self,non,height):\n", " #list to store the number of neurons in each layer of the network\n", " self.num_of_neurons = non\n", " #height of the network\n", " self.L = height\n", " #list to store number of weights in each layer of the network, indexed by layer, output neuron, input neuron\n", " self.weights = numpy.zeros(shape=((non[0]+1),(non[0]+1),(non[0]+1)))\n", " #delta_matrix: stores the gradient that is used in backpropagation\n", " self.deltas = numpy.zeros(shape=((non[0]+1),(non[0]+1)))\n", " #matrix that stores thresholded signals\n", " self.signals = numpy.zeros(shape=((non[0]+1),(non[0]+1)))\n", " #(tunable) learning_rate used in backpropagation\n", " self.learning_rate = .00001\n", " #initialize weights to be between -2 and 2\n", " for i in range(1,self.L+1):\n", " for j in range(1,self.num_of_neurons[i]+1):\n", " for k in range(self.num_of_neurons[i-1]+1):\n", " self.weights[i][j][k] = (random.randrange(-2,2)) #changed to adjust \n", " \n", " #forward_pass computes the output of the neural network given an input\n", " def forward_pass(self,x):\n", " #(for convenience, we index neurons starting at 1 instead of zero)\n", " self.signals[0][0] = -1\n", " for i in range(1,self.num_of_neurons[0]+1):\n", " self.signals[0][i] = x[i-1]\n", " for i in range(1,self.L+1):\n", " self.signals[i][0] = -1\n", " for j in range(1,self.num_of_neurons[i]+1):\n", " self.signals[i][j] = self.compute_signal(i,j)\n", " return self.signals[self.L][1]\n", " \n", " #tune_weights performs the backpropagation algorithm given a training example as input\n", " def tune_weights(self,y):\n", " self.deltas[self.L][1] = 2*(self.signals[self.L][1]-y)*(1-math.pow(self.signals[self.L][1],2))\n", " for i in range(self.L-1,0,-1):\n", " for j in range(1,self.num_of_neurons[i]+1):\n", " self.deltas[i][j] = self.compute_delta(i,j)\n", " for i in range(1,self.L+1):\n", " for j in range(1,self.num_of_neurons[i]+1):\n", " for k in range(self.num_of_neurons[i-1]+1):\n", " self.weights[i][j][k] = self.weights[i][j][k]-self.learning_rate*self.signals[i-1][k]*self.deltas[i][j]\n", " \n", " #compute_signal: computes the delta for a given neuron at a given level\n", " def compute_signal(self,level,neuron):\n", " s = 0\n", " for i in range(self.num_of_neurons[level-1]+1):\n", " s += self.weights[level][neuron][i]*self.signals[level-1][i]\n", " return self.g(s)\n", " \n", " #compute_delta: computes the signal s for a given neuron at a given level\n", " def compute_delta(self,level,neuron):\n", " s = 0\n", " for j in range(1,self.num_of_neurons[level+1]+1):\n", " s += self.weights[level+1][j][neuron]*self.deltas[level+1][j]\n", " return (1-math.pow(self.signals[level][neuron],2))*s\n", " \n", " #soft threshold function\n", " def g(self,s):\n", " #print s\n", " try:\n", " return (math.exp(s)-math.exp(-s))/(math.exp(s)+math.exp(-s))\n", " except OverflowError:\n", " return 0.\n", " " ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 154 }, { "cell_type": "code", "collapsed": false, "input": [ "num_of_neurons = [(len(testing[0])-1),13,1]\n", "network = Neural_Net(num_of_neurons,2)\n", "e = 500\n", "train = numpy.zeros(shape = (e))\n", "test = numpy.zeros(shape = (e))" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 167 }, { "cell_type": "markdown", "metadata": {}, "source": [ "# WARNING: The next cell takes a long time to run (~15 minutes)#" ] }, { "cell_type": "code", "collapsed": false, "input": [ "for epoch in range(e):\n", " training_error = 0\n", " test_error = 0\n", " for j in range(testing_rows):\n", " test_error = test_error+math.pow(network.forward_pass(testing[j]) - testing[j][testing_columns-1], 2)\n", " #compute the test errors\n", " #compute the training errors, SEQUENTIALLY. In other words, we perform backpropagation for *every* example\n", " #instead of all at once. \n", " for i in range(training_rows):\n", " training_error = training_error+math.pow(network.forward_pass(training[i])- training[i][training_columns-1], 2)\n", " network.tune_weights(training[i][training_columns-1])\n", " training_error = training_error/training_rows\n", " test_error = test_error/testing_rows\n", " train[epoch] = training_error\n", " test[epoch] = test_error\n", " " ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 168 }, { "cell_type": "code", "collapsed": false, "input": [ "nn_results = []\n", "for j in range(testing_rows):\n", " nn_results.append(network.forward_pass(testing[j]))" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 169 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Validating the Model ###" ] }, { "cell_type": "code", "collapsed": false, "input": [ "plt.plot(numpy.arange(e), test, lw=2, label = 'test')\n", "plt.plot(numpy.arange(e), train, lw=2, label = 'train')\n", "plt.legend(loc=0, frameon=False)\n", "plt.xlabel('Epoch')\n", "plt.ylabel('MSE')\n", "remove_border()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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S0tLcYSwrK0vFxcWybVvbtm3T7bffrsWLFys1NVXp6eny9/c/bxsAAIB05glNs2bN+tmT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\nAAcAAGAYAhwAAIB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"text": [ "" ] } ], "prompt_number": 152 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Results ##" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Performance ###" ] }, { "cell_type": "code", "collapsed": false, "input": [ "def results(df, graph, nn_results, sp, title=\"prediction\"):\n", " temp = df.copy()\n", " for i in range(len(temp)-1):\n", " temp[graph][i] = temp[graph][i+1]\n", " temp = temp[-len(nn_results):]\n", " mi = temp[graph].min()-.005\n", " ma = temp[graph].max()+.005\n", " ci = 0.\n", " cd = 0.\n", " ti = 0.\n", " td = 0.\n", " pi = 0.\n", " pde = 0.\n", " for i in range(len(nn_results)-1):\n", " t = temp[graph][i]\n", " x1 = temp.index[i]\n", " x2 = temp.index[i+1]\n", " y1 = temp[graph][i]\n", " y2 = temp[graph][i+1]\n", " if(t > 0 and nn_results[i] > sp):\n", " plt.fill_between([x1,x2], [ma,ma], color=brewer_rg[1], label=('accurate prediction'))\n", " ci += 1\n", " ti += 1\n", " pi += 1\n", " elif(t < 0 and nn_results[i] <= sp):\n", " plt.fill_between([x1,x2], [mi,mi], color=brewer_rg[1], label=('accurate prediction'))\n", " cd += 1\n", " td += 1\n", " pde += 1\n", " elif(t > 0 and nn_results[i] <= sp):\n", " plt.fill_between([x1,x2], [mi,mi], color=brewer_rg[0], label=('inacurate prediction'))\n", " ti += 1\n", " pde += 1\n", " elif(t < 0 and nn_results[i] > sp):\n", " plt.fill_between([x1,x2], [ma,ma], color=brewer_rg[0], label=('inacurate prediction'))\n", " td += 1\n", " pi += 1\n", " plt.fill_between([x1,x2], [y1,y2], color='k', label='s&p 500 pdiff')\n", " plt.ylim(mi, ma)\n", " plt.xticks(rotation='vertical')\n", " plt.xlabel('date')\n", " plt.ylabel('s&p 500 pdiff')\n", " plt.title(title)\n", " remove_border()\n", " return ci, cd, ti, td, pi, pde" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 90 }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Naive Bayes ####" ] }, { "cell_type": "code", "collapsed": false, "input": [ "data_array = dataframe_to_array(datalist, top_regressions.keys(), ['YAHOO.INDEX_GSPC - Adjusted Close_pdiff_b_0.00-100.00_adv'])\n", "\n", "training = data_array[0:-100]\n", "testing = data_array[-100:]\n", "train_in = training[:,:-1]\n", "train_out =training [:,-1:]\n", "train_out=train_out.reshape(train_out.shape[0])\n", "test_in = testing[:,:-1]\n", "test_out = testing [:,-1:]\n", "test_out=test_out.reshape(test_out.shape[0])\n", "clf = MultinomialNB().fit(train_in, train_out)\n", "k = clf.score(test_in, test_out)\n", "predictions = clf.predict(test_in)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 80 }, { "cell_type": "code", "collapsed": false, "input": [ "cinb, cdnb, tinb, tdnb, _, _ = results(datalist, 'YAHOO.INDEX_GSPC - Adjusted Close_pdiff', predictions, .5, title=\"accuracy of NB predictions\")\n", "\n", "print 'average accuracy: %.2f%%' % ((cinb+cdnb)/(tinb+tdnb)*100)\n", "print 'accuracy on decrease: %.2f%%' % (cdnb/tdnb*100)\n", "print 'accuracy on increase: %.2f%%' % (cinb/tinb*100)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "average accuracy: 61.62%\n", "accuracy on decrease: 28.57%\n", "accuracy on increase: 79.69%\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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uQoiSdQAUrJdbJxqN4q233sJNN93k+js3PLUx//fYQ8Zgj0M+53ncDMPUBgEA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\na8cQQgiTm7WI2gOOu16rLsHDkglIRFJJWgoTWtHlnp4eSFItW5twOd4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99BBuu+02vPba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\nAABJRU5ErkJggg==\n", "text": [ "" ] } ], "prompt_number": 82 }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Neural Network ####" ] }, { "cell_type": "code", "collapsed": false, "input": [ "ci, cd, ti, td, _, _ = results(dataset, 's_and_p_500_pdiff', nn_results, 0., title='accuracy of NN predictions')\n", "\n", "print 'average accuracy: %.2f%%' % ((ci+cd)/(ti+td)*100)\n", "print 'accuracy on decrease: %.2f%%' % (cd/td*100)\n", "print 'accuracy on increase: %.2f%%' % (ci/ti*100)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "average accuracy: 63.64%\n", "accuracy on decrease: 36.11%\n", "accuracy on increase: 79.37%\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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z741Fzf8/rm4EZvgeNcMwQZF20VZbkoXQRSD9aLNdtMGdozaQ0UFXpARpumwK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\nRkb15q/rXiQ+CQwMRFFRUb1P0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"text": [ "" ] } ], "prompt_number": 170 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Trading Strategies ###" ] }, { "cell_type": "code", "collapsed": false, "input": [ "def score(df, split, nn_results):\n", " t = df[-split:].copy()\n", " t['out'] = float('nan')\n", " for i in range(split):\n", " if nn_results[i] < 0:\n", " t['out'][i] = -1\n", " else:\n", " t['out'][i] = 1\n", " return t\n", "\n", "dataset_out = score(dataset, len(testing), nn_results) " ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 822 }, { "cell_type": "code", "collapsed": false, "input": [ "def buy_pass(df_score, nn_results):\n", " my_list = []\n", " market_list =[]\n", " start = 100000000\n", " my_money = start\n", " market_money = start\n", " for i in range(1, (len(nn_results)-1)):\n", " market_money = market_money * (1+dataset_out.s_and_p_500_pdiff[i+1])\n", " market_list.append(market_money)\n", " if (nn_results[i] >0):\n", " my_money = my_money * (1+dataset_out.s_and_p_500_pdiff[i+1])\n", " my_list.append(my_money)\n", " \n", " my_list = [(i-start)/start for i in my_list] \n", " market_list = [(i-start)/start for i in market_list]\n", " x = df_score.index[1:-1]\n", " return my_list, market_list, x\n", "\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 805 }, { "cell_type": "code", "collapsed": false, "input": [ "my_list, market_list, N = buy_pass(dataset_out, nn_results)\n", "my_list = [i*100 for i in my_list]\n", "market_list = [i*100 for i in market_list]\n", "\n", "def buy_pass_plot(list_data, list_lab, N, x, y, title):\n", " mi = np.inf\n", " ma = -np.inf\n", " if len(list_data) != len(list_lab):\n", " raise Exception('length mismatch')\n", " \n", " for i in range(len(list_data)):\n", " plt.plot(N, list_data[i], label=list_lab[i])\n", " if min(list_data[i]) < mi:\n", " mi = min(list_data[i])\n", " if max(list_data[i]) > ma:\n", " ma = max(list_data[i])\n", " plt.axhline(y=.05, linewidth=1.5, color='k')\n", " plt.xticks(rotation='vertical')\n", " plt.xlabel(x)\n", " plt.ylabel(y)\n", " plt.title(title)\n", " plt.legend(loc=0, frameon=False)\n", " if 0 < mi:\n", " mi = 0\n", " plt.ylim(mi,ma)\n", " remove_border(bottom=False)\n", "\n", "buy_pass_plot([my_list, market_list], ['strategy', 'no strategy'], N, 'date', '% chage', 'basic trading strategy based on nn prediction')\n", "print 'our model made %.2f%% while the market increased by %.2f%% over a period of %d weeks' % (my_list[-1], market_list[-1], len(my_list))\n", "\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "our model made 25.09% while the market increased by 22.69% over a period of 98 weeks\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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XXnnFpo+BAwcSHBzMF198wfr16+nVq9cVfmIhhBDixojKSCLPqKe2pw+mU7uB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\nODjJKVfBNrdK9hNnuEzg94bucWrw6wxPwI4rFbC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YTfxpzye4/H0dswsS0/jForPRTOEX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Lz1Oep6T0iUoH+pYTh4YDP6l+6FVaHCJTP/LnU4hISNJbp2QtqMlIB5CEzANyUH8b/Soy2umRw2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\n6NFD6tDazG63o76+HiqVCpmZmXA6nbDZb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Gv9lxCiwcLvmzdvNmhe5EDuDSOgjFl7uTeN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\n4H4cEys1AAAAAElFTkSuQmCC\n", "text": [ "" ] } ], "prompt_number": 814 }, { "cell_type": "code", "collapsed": false, "input": [ "my_list_pdiff = []\n", "for i in range(len(my_list)):\n", " my_list_pdiff.append(my_list[i]-market_list[i])\n", " \n", "buy_pass_plot([my_list_pdiff], ['%'], N, 'date', '% better/worse', '% better or worse than market')\n", "print 'our model preformed %.2f%% better than the market' % (my_list[-1]-market_list[-1])\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "our model preformed 2.39% better than the market\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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Tpo2wsbERmzZtEjqdTgwdOlQ4ODiIXr16idDQUNGpUyfh5+cn/vzzTzFz5kwhl8vFuHHj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\nQdyaqIpSqcSNGzfQt29frqPoJCkpSfN9eFFE+vj4wNHRketodaJQKPD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"text": [ "" ] } ], "prompt_number": 821 }, { "cell_type": "markdown", "metadata": {}, "source": [ "##Final Analysis###" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We were successful in exploring the use of Artificial Neural Networks for predicting and analyzing financial time series data. We have made a few important contributions to the understanding of neural networks:\n", "\n", "First, we learned a lot about which variables have predictive power for the s&p. Seemingly critical variables like gold prices actually have only r^2 of .03 with the s&p. Other times we were intrigued to see variables that we had selected by intuition ended up coming back out of our Naive Bayes, like corporate profits. \n", "\n", "Second, we were able to better optimize the neural network. Although it is a powerful system, it is very difficult to use and computationally expensive. By incorporating additional data sets and exploration, we were able to cut down the variables we actually ran through the network, allowing us to spend more time tweaking the various parameters. \n", "\n", "Third, and most importantly, we were able to beat the stock market. We proved that there is enough of a relationship between the data on a weekly basis to have a better 'guess' than a coin flip or even just guessing all increases (based on the tendency of the stock market to, in general, improve). \n", "\n", "One interesting finding from our model was a tendency to predict increases better than decreases. We believe that this is because the stock market improves based on macroeconomic data (jobs and housing numbers), but often decreases based on investor intuition. For example, two of the largest decreases that we missed were the downgrading of the US credit rating and the flash crash. A next step could be to expand our model to include other (non-economic) variables like sentiment analysis, which, we feel would help us rectify this deficiency. \n", "\n", "We were also able to construct novel and dazzling visualizations of a neural network weights using d3 that required significant technical skill. This expansive exploration of the inner workings of a neural network is not something we were able to find elsewhere.\n", "\n", "Finally, we were able to create a simplistic yet still effective trading strategy based on our neural network which outperformed the S&P index, answering the question we set out to address: can we guess what the market will do? The answer is yes, with 2.63 percentage point better precision than the efficient market hypothesis. " ] }, { "cell_type": "code", "collapsed": false, "input": [], "language": "python", "metadata": {}, "outputs": [] } ], "metadata": {} } ] }