{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Intro to Python for Financial Market Data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Most finance websites show quotes or charts for various financial markets. Where is this data freely available and how can we download it, wrangle it into a useable format, and visualize it ourselves?\n",
"\n",
"A quote for a financial instrument like a stock, currency, or commodity is a snapshot in time reflecting the sum of individual trades happening on the market for this instrument. Data points like price or trading volume are collected periodically to form a historical time series. If we chart this time series, we can visualize the activity of individual instruments, or the market as a whole with an index, and gain a quick overview, and perhaps some insights into the data.\n",
"\n",
"Python is an excellent language for working with this kind of financial market data. The syntax is compact and helpful for exploratory data analysis using an interactive shell like iPython. This also makes it easy to capture ideas quickly, and concisely display code and data in a logbook format like a Jupyter Notebook. There is also strong support for downloading, manipulating, and visualizing financial market data through popular open source libraries like Pandas and Matplotlib."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Fetching and Exploring Data"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" Open | \n",
" High | \n",
" Low | \n",
" Close | \n",
" Adj Close | \n",
" Volume | \n",
"
\n",
" \n",
" Date | \n",
" | \n",
" | \n",
" | \n",
" | \n",
" | \n",
" | \n",
"
\n",
" \n",
" \n",
" \n",
" 2017-10-16 | \n",
" 255.210007 | \n",
" 255.509995 | \n",
" 254.820007 | \n",
" 255.289993 | \n",
" 255.289993 | \n",
" 38221700 | \n",
"
\n",
" \n",
" 2017-10-17 | \n",
" 255.229996 | \n",
" 255.520004 | \n",
" 254.979996 | \n",
" 255.470001 | \n",
" 255.470001 | \n",
" 31561000 | \n",
"
\n",
" \n",
" 2017-10-18 | \n",
" 255.899994 | \n",
" 255.949997 | \n",
" 255.500000 | \n",
" 255.720001 | \n",
" 255.720001 | \n",
" 40888300 | \n",
"
\n",
" \n",
" 2017-10-19 | \n",
" 254.830002 | \n",
" 255.830002 | \n",
" 254.350006 | \n",
" 255.789993 | \n",
" 255.789993 | \n",
" 61903800 | \n",
"
\n",
" \n",
" 2017-10-20 | \n",
" 256.700012 | \n",
" 257.140015 | \n",
" 255.770004 | \n",
" 257.109985 | \n",
" 257.109985 | \n",
" 82477300 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" Open High Low Close Adj Close \\\n",
"Date \n",
"2017-10-16 255.210007 255.509995 254.820007 255.289993 255.289993 \n",
"2017-10-17 255.229996 255.520004 254.979996 255.470001 255.470001 \n",
"2017-10-18 255.899994 255.949997 255.500000 255.720001 255.720001 \n",
"2017-10-19 254.830002 255.830002 254.350006 255.789993 255.789993 \n",
"2017-10-20 256.700012 257.140015 255.770004 257.109985 257.109985 \n",
"\n",
" Volume \n",
"Date \n",
"2017-10-16 38221700 \n",
"2017-10-17 31561000 \n",
"2017-10-18 40888300 \n",
"2017-10-19 61903800 \n",
"2017-10-20 82477300 "
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Download free end of day historical stock data\n",
"# Use pandas-datareader and Yahoo finance\n",
"from datetime import datetime\n",
"import pandas_datareader as pdr\n",
"\n",
"end = datetime.now()\n",
"start = datetime(end.year - 5, end.month, end.day)\n",
"df = pdr.get_data_yahoo('SPY', start, end)\n",
"df.tail()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The above is a Pandas DataFrame, a two-dimensional tabular, column-oriented data structure with rich, high-performance time series functionality built on top of NumPy's array-computing features. A DataFrame provides many of the capabilities of a spreadsheet and relational database with flexible handling of missing data and integration with Matplotlib for visualization."
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" Open | \n",
" High | \n",
" Low | \n",
" Close | \n",
" Adj Close | \n",
" Volume | \n",
"
\n",
" \n",
" \n",
" \n",
" count | \n",
" 1258.000000 | \n",
" 1258.000000 | \n",
" 1258.000000 | \n",
" 1258.000000 | \n",
" 1258.000000 | \n",
" 1.258000e+03 | \n",
"
\n",
" \n",
" mean | \n",
" 198.976081 | \n",
" 199.786065 | \n",
" 198.090239 | \n",
" 199.021717 | \n",
" 189.901637 | \n",
" 1.084079e+08 | \n",
"
\n",
" \n",
" std | \n",
" 27.420185 | \n",
" 27.392707 | \n",
" 27.440104 | \n",
" 27.424731 | \n",
" 31.270607 | \n",
" 4.908361e+07 | \n",
"
\n",
" \n",
" min | \n",
" 135.899994 | \n",
" 136.490005 | \n",
" 134.699997 | \n",
" 135.699997 | \n",
" 122.511452 | \n",
" 3.156100e+07 | \n",
"
\n",
" \n",
" 25% | \n",
" 182.962494 | \n",
" 183.642505 | \n",
" 181.845005 | \n",
" 182.922497 | \n",
" 169.699688 | \n",
" 7.428145e+07 | \n",
"
\n",
" \n",
" 50% | \n",
" 202.840004 | \n",
" 203.855004 | \n",
" 201.740005 | \n",
" 203.114998 | \n",
" 193.377548 | \n",
" 9.750890e+07 | \n",
"
\n",
" \n",
" 75% | \n",
" 213.127498 | \n",
" 214.035003 | \n",
" 212.500000 | \n",
" 213.164997 | \n",
" 208.331898 | \n",
" 1.310476e+08 | \n",
"
\n",
" \n",
" max | \n",
" 256.700012 | \n",
" 257.140015 | \n",
" 255.770004 | \n",
" 257.109985 | \n",
" 257.109985 | \n",
" 5.072443e+08 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" Open High Low Close Adj Close \\\n",
"count 1258.000000 1258.000000 1258.000000 1258.000000 1258.000000 \n",
"mean 198.976081 199.786065 198.090239 199.021717 189.901637 \n",
"std 27.420185 27.392707 27.440104 27.424731 31.270607 \n",
"min 135.899994 136.490005 134.699997 135.699997 122.511452 \n",
"25% 182.962494 183.642505 181.845005 182.922497 169.699688 \n",
"50% 202.840004 203.855004 201.740005 203.114998 193.377548 \n",
"75% 213.127498 214.035003 212.500000 213.164997 208.331898 \n",
"max 256.700012 257.140015 255.770004 257.109985 257.109985 \n",
"\n",
" Volume \n",
"count 1.258000e+03 \n",
"mean 1.084079e+08 \n",
"std 4.908361e+07 \n",
"min 3.156100e+07 \n",
"25% 7.428145e+07 \n",
"50% 9.750890e+07 \n",
"75% 1.310476e+08 \n",
"max 5.072443e+08 "
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# summary statistics accross the whole DataFrame\n",
"df.describe()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Slicing a DataFrame's column yields a Series that can be operated on alone as seen below."
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Date\n",
"2017-10-16 255.289993\n",
"2017-10-17 255.470001\n",
"2017-10-18 255.720001\n",
"2017-10-19 255.789993\n",
"2017-10-20 257.109985\n",
"Name: Close, dtype: float64"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Closing price for most recent 5 trading days\n",
"df['Close'].tail()"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Min: 31561000 Max: 507244300 Average: 108407877.34499206\n"
]
}
],
"source": [
"# volume statistics\n",
"vol = df['Volume']\n",
"print(\"Min: %s Max: %s Average: %s\" % (vol.min(), vol.max(), vol.mean()))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A wrapper around [Matplotlib](http://matplotlib.org/) produces preformatted two-dimensional charts."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Charting and Visualiation"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
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79hJSEwaupj5RSUAlhBBCTDLrd1bicLpYMev4ZpT0eh3nrcglPMxAblrwNIIeDRJQCSGE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VAAAg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\nUoQUKoIgCIIgiBT5PzWxGsjRGvbTAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# plot the historical closing prices and volume using matplotlib\n",
"plots = df[['Close', 'Volume']].plot(subplots=True, figsize=(10, 10))\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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cv6eV9XtasZoNzCjLYmdlB5fNKEApTDnknFG5yXz/5nIgllhvNOjo9QR5ccl+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FAAAC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\nRU5ErkJggg==\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# chart a basic 50 period moving average of the closing price\n",
"import pandas as pd\n",
"df['ma50'] = df.Close.rolling(window=50).mean()\n",
"df['ma200'] = df.Close.rolling(window=200).mean()\n",
"data = df[['Close', 'ma50', 'ma200']][-500:]\n",
"plots = data.plot(subplots=False,figsize=(10, 4))\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## References\n",
"* [Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython](http://amzn.to/2zG3dM4)\n",
"* [10 Minutes to pandas](http://pandas.pydata.org/pandas-docs/stable/10min.html)\n",
"* [pandas-datareader](https://pandas-datareader.readthedocs.io/en/latest/)\n",
"* [Visualization](http://pandas.pydata.org/pandas-docs/stable/visualization.html)\n",
"* [Seaborn](http://seaborn.pydata.org/)"
]
},
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