{ "cells": [ { "cell_type": "markdown", "id": "8107a9ba", "metadata": {}, "source": [ "# Pipeline built-in factors\n", "\n", "本文將介紹 zipline 內建的因子。" ] }, { "cell_type": "code", "execution_count": 1, "id": "876871a2", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Merging daily equity files:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "[2023-12-21 02:25:42.322694] INFO: zipline.data.bundles.core: Ingesting tquant.\n", "[2023-12-21 02:25:44.519796] INFO: zipline.data.bundles.core: Ingest tquant successfully.\n" ] } ], "source": [ "import pandas as pd \n", "import numpy as np \n", "import os \n", "\n", "os.environ['TEJAPI_KEY'] = \"your key\" \n", "os.environ['TEJAPI_BASE'] = \"https://api.tej.com.tw\"\n", "\n", "os.environ['mdate'] = '20150101 20230702'\n", "os.environ['ticker'] = \"2330 IR0001\"\n", "!zipline ingest -b tquant" ] }, { "cell_type": "markdown", "id": "426a1008", "metadata": {}, "source": [ "\n", "## 選單\n", "* [AverageDollarVolume](#AverageDollarVolume)\n", "* [BollingerBands](#BollingerBands)\n", "* [DailyReturns](#DailyReturns)\n", "* [SimpleMovingAverage](#SimpleMovingAverage)\n", "* [LinearWeightedMovingAverage](#LinearWeightedMovingAverage)\n", "* [ExponentialWeightedMovingAverage](#ExponentialWeightedMovingAverage)\n", "* [ExponentialWeightedMovingStdDev](#ExponentialWeightedMovingStdDev)\n", "* [Latest](#Latest)\n", "* [MaxDrawdown](#MaxDrawdown) \n", "* [Returns](#Returns)\n", "* [RollingPearson](#RollingPearson)\n", "* [RollingLinearRegressionOfReturns](#RollingLinearRegressionOfReturns)\n", "* [RollingSpearmanOfReturns](#RollingSpearmanOfReturns)\n", "* [SimpleBeta](#SimpleBeta)\n", "* [RSI](#RSI)\n", "* [VWAP](#VWAP)\n", "* [WeightedAverageValue](#WeightedAverageValue)\n", "* [PercentChange](#PercentChange)\n", "* [PeerCount](#PeerCount)\n", "* [RateOfChangePercentage](#RateOfChangePercentage)\n", "* [Aroon](#Aroon)\n", "* [FastStochasticOscillator](#FastStochasticOscillator)\n", "* [TrueRange](#TrueRange)\n", "* [IchimokuKinkoHyo](#IchimokuKinkoHyo)" ] }, { "cell_type": "code", "execution_count": 2, "id": "14c77b01", "metadata": {}, "outputs": [], "source": [ "from zipline.TQresearch.tej_pipeline import run_pipeline \n", "from zipline.pipeline import Pipeline\n", "from zipline.pipeline.data import TWEquityPricing\n", "\n", "start_time = pd.Timestamp(\"2018-02-02\", tz=\"UTC\")\n", "end_time = pd.Timestamp(\"2022-07-02\", tz=\"UTC\")" ] }, { "cell_type": "markdown", "id": "b182dc85", "metadata": {}, "source": [ "\n", "### zipline.pipeline.factors.AverageDollarVolume\n", "\n", "計算當日以前 n 天的資產平均價值，$ 每日平均價值 = 成交量 \\times 價格$。 \n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_, optional\n", " 所欲計算之價格資料，預設 = EquityPricing.close。\n", "* window_length: _int_\n", " 決定 n 天。\n", " \n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 3, "id": "6253eddc", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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avg_dollar_volume
2018-02-02 00:00:00+00:00Equity(0 [2330])1.065447e+10
Equity(1 [IR0001])4.975421e+13
2018-02-05 00:00:00+00:00Equity(0 [2330])9.914759e+09
Equity(1 [IR0001])4.839457e+13
2018-02-06 00:00:00+00:00Equity(0 [2330])9.892107e+09
.........
2022-06-29 00:00:00+00:00Equity(1 [IR0001])7.144668e+13
2022-06-30 00:00:00+00:00Equity(0 [2330])1.734140e+10
Equity(1 [IR0001])7.240678e+13
2022-07-01 00:00:00+00:00Equity(0 [2330])1.809191e+10
Equity(1 [IR0001])7.315819e+13
\n", "

2146 rows × 1 columns

\n", "
" ], "text/plain": [ " avg_dollar_volume\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 1.065447e+10\n", " Equity(1 [IR0001]) 4.975421e+13\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 9.914759e+09\n", " Equity(1 [IR0001]) 4.839457e+13\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 9.892107e+09\n", "... ...\n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) 7.144668e+13\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 1.734140e+10\n", " Equity(1 [IR0001]) 7.240678e+13\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 1.809191e+10\n", " Equity(1 [IR0001]) 7.315819e+13\n", "\n", "[2146 rows x 1 columns]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import AverageDollarVolume\n", "def make_pipeline():\n", " return Pipeline(\n", " columns = {\n", " \"avg_dollar_volume\": AverageDollarVolume(\n", " inputs = [TWEquityPricing.close, TWEquityPricing.volume],\n", " window_length = 10\n", " )\n", " }\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "e79f6267", "metadata": {}, "source": [ "\n", "### zipline.pipeline.factors.BollingerBands\n", "\n", "布林通道利用統計學概念，創造上、中、下三軌，中軌為 n 日的移動平均線，上下兩軌分別為中軌 $\\pm m$ 個標準差。\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_, optional\n", " 所欲計算之價格資料，預設 = EquityPricing.close。\n", "* window_length: _int_\n", " 決定 n 天。\n", "* k: _int_\n", " 決定 m 個標準差。\n", " \n", "#### Note:\n", "不推薦以下使用方式。這種方式會產出帶有 tuple 的 DataFrame，在某些 pandas 版本（例如：1.5.3）下會出現`ValueError: no types given`的錯誤。\n", "\n", "```python\n", "def make_pipeline():\n", " return Pipeline(\n", " columns = {\n", " \"bbands\": BollingerBands(\n", " inputs = [TWEquityPricing.close], \n", " window_length = 14,\n", " k=1.5\n", " )\n", " }\n", " )\n", "```\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 4, "id": "ed4cdfd3", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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upper_boundmiddlelower_bound
2018-02-02 00:00:00+00:00Equity(0 [2330])265.252912253.642857242.032803
Equity(1 [IR0001])19279.70195119052.49000018825.278049
2018-02-05 00:00:00+00:00Equity(0 [2330])265.332723255.035714244.738706
Equity(1 [IR0001])19268.23567919073.28500018878.334321
2018-02-06 00:00:00+00:00Equity(0 [2330])264.351390255.928571247.505753
...............
2022-06-29 00:00:00+00:00Equity(1 [IR0001])32611.73915131462.74928630313.759420
2022-06-30 00:00:00+00:00Equity(0 [2330])517.756648501.594794485.432939
Equity(1 [IR0001])32256.62329331296.08928630335.555279
2022-07-01 00:00:00+00:00Equity(0 [2330])513.161348497.942184482.723019
Equity(1 [IR0001])31978.16924131095.97214330213.775044
\n", "

2146 rows × 3 columns

\n", "
" ], "text/plain": [ " upper_bound middle \\\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 265.252912 253.642857 \n", " Equity(1 [IR0001]) 19279.701951 19052.490000 \n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 265.332723 255.035714 \n", " Equity(1 [IR0001]) 19268.235679 19073.285000 \n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 264.351390 255.928571 \n", "... ... ... \n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) 32611.739151 31462.749286 \n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 517.756648 501.594794 \n", " Equity(1 [IR0001]) 32256.623293 31296.089286 \n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 513.161348 497.942184 \n", " Equity(1 [IR0001]) 31978.169241 31095.972143 \n", "\n", " lower_bound \n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 242.032803 \n", " Equity(1 [IR0001]) 18825.278049 \n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 244.738706 \n", " Equity(1 [IR0001]) 18878.334321 \n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 247.505753 \n", "... ... \n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) 30313.759420 \n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 485.432939 \n", " Equity(1 [IR0001]) 30335.555279 \n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 482.723019 \n", " Equity(1 [IR0001]) 30213.775044 \n", "\n", "[2146 rows x 3 columns]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import BollingerBands\n", "def make_pipeline():\n", " upper = BollingerBands(inputs = [TWEquityPricing.close], window_length = 14, k = 1.5).upper\n", " middle = BollingerBands(inputs = [TWEquityPricing.close], window_length = 14, k = 1.5).middle\n", " lower = BollingerBands(inputs = [TWEquityPricing.close], window_length = 14, k = 1.5).lower\n", " return Pipeline(\n", " columns = {\n", " \"upper_bound\":upper,\n", " \"middle\":middle,\n", " \"lower_bound\":lower\n", " }\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "19b8d557", "metadata": {}, "source": [ "\n", " \n", "### zipline.pipeline.factors.DailyReturns\n", "\n", "計算日報酬率。\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_, optional\n", " 所欲計算之價格資料，預設 = EquityPricing.close。\n", " \n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 5, "id": "3c8b929a", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Daily Return
2018-02-02 00:00:00+00:00Equity(0 [2330])0.017647
Equity(1 [IR0001])0.005086
2018-02-05 00:00:00+00:00Equity(0 [2330])0.000000
Equity(1 [IR0001])-0.003049
2018-02-06 00:00:00+00:00Equity(0 [2330])-0.025048
.........
2022-06-29 00:00:00+00:00Equity(1 [IR0001])-0.005615
2022-06-30 00:00:00+00:00Equity(0 [2330])-0.013065
Equity(1 [IR0001])-0.009731
2022-07-01 00:00:00+00:00Equity(0 [2330])-0.030550
Equity(1 [IR0001])-0.025612
\n", "

2146 rows × 1 columns

\n", "
" ], "text/plain": [ " Daily Return\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 0.017647\n", " Equity(1 [IR0001]) 0.005086\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 0.000000\n", " Equity(1 [IR0001]) -0.003049\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) -0.025048\n", "... ...\n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) -0.005615\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) -0.013065\n", " Equity(1 [IR0001]) -0.009731\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) -0.030550\n", " Equity(1 [IR0001]) -0.025612\n", "\n", "[2146 rows x 1 columns]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import DailyReturns\n", "def make_pipeline():\n", " return Pipeline(\n", " columns = {\n", " \"Daily Return\": DailyReturns(\n", " inputs = [TWEquityPricing.close]\n", " )\n", " }\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "1249a816", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.SimpleMovingAverage\n", "\n", "計算 n 日的簡單移動平均。\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_\n", " 所欲計算之資料。\n", "* window_length: _int_\n", " 決定 n 日。\n", " \n", "[回到選單](#menu\n", ")" ] }, { "cell_type": "code", "execution_count": 6, "id": "9872dd46", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
SMA
2018-02-02 00:00:00+00:00Equity(0 [2330])258.000
Equity(1 [IR0001])19131.611
2018-02-05 00:00:00+00:00Equity(0 [2330])258.400
Equity(1 [IR0001])19127.393
2018-02-06 00:00:00+00:00Equity(0 [2330])257.550
.........
2022-06-29 00:00:00+00:00Equity(1 [IR0001])31072.561
2022-06-30 00:00:00+00:00Equity(0 [2330])496.550
Equity(1 [IR0001])30962.418
2022-07-01 00:00:00+00:00Equity(0 [2330])493.350
Equity(1 [IR0001])30799.546
\n", "

2146 rows × 1 columns

\n", "
" ], "text/plain": [ " SMA\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 258.000\n", " Equity(1 [IR0001]) 19131.611\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 258.400\n", " Equity(1 [IR0001]) 19127.393\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 257.550\n", "... ...\n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) 31072.561\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 496.550\n", " Equity(1 [IR0001]) 30962.418\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 493.350\n", " Equity(1 [IR0001]) 30799.546\n", "\n", "[2146 rows x 1 columns]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import SimpleMovingAverage\n", "def make_pipeline():\n", " return Pipeline(\n", " columns = {\n", " \"SMA\": SimpleMovingAverage(\n", " inputs = [TWEquityPricing.close], \n", " window_length = 10\n", " )\n", " }\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "d1869fc8", "metadata": {}, "source": [ "\n", "### zipline.pipeline.factors.LinearWeightedMovingAverage\n", "\n", "計算 n 日的線性加權移動平均，計算方法: \n", "\n", "$$\n", "\\frac{\\sum_{i=1}^{n} i \\times x_{i}}{\\sum_{i=1}^{n} i}\n", "$$\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_\n", " 所欲計算之資料。\n", "* window_length: _int_\n", " 決定 n 日。\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 7, "id": "65e63a6b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
LWMA
2018-02-02 00:00:00+00:00Equity(0 [2330])257.309091
Equity(1 [IR0001])19108.238000
2018-02-05 00:00:00+00:00Equity(0 [2330])257.581818
Equity(1 [IR0001])19095.746909
2018-02-06 00:00:00+00:00Equity(0 [2330])256.600000
.........
2022-06-29 00:00:00+00:00Equity(1 [IR0001])30947.352545
2022-06-30 00:00:00+00:00Equity(0 [2330])494.372727
Equity(1 [IR0001])30887.412364
2022-07-01 00:00:00+00:00Equity(0 [2330])490.636364
Equity(1 [IR0001])30704.338182
\n", "

2146 rows × 1 columns

\n", "
" ], "text/plain": [ " LWMA\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 257.309091\n", " Equity(1 [IR0001]) 19108.238000\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 257.581818\n", " Equity(1 [IR0001]) 19095.746909\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 256.600000\n", "... ...\n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) 30947.352545\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 494.372727\n", " Equity(1 [IR0001]) 30887.412364\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 490.636364\n", " Equity(1 [IR0001]) 30704.338182\n", "\n", "[2146 rows x 1 columns]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import LinearWeightedMovingAverage\n", "def make_pipeline():\n", " return Pipeline(\n", " columns = {\n", " \"LWMA\": LinearWeightedMovingAverage(\n", " inputs = [TWEquityPricing.close], \n", " window_length = 10\n", " )\n", " }\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "dedf038b", "metadata": {}, "source": [ "\n", "### zipline.pipeline.factors.ExponentialWeightedMovingAverage\n", "\n", "計算 n 日的指數加權移動平均，計算方法: \n", "\n", "$$\n", "\\frac{\\sum_{i=1}^{n} {decay}^i \\times x_{i}}{\\sum_{i=1}^{n} {decay}^i}\n", "$$\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_\n", " 所欲計算之資料。\n", "* window_length: _int_\n", " 決定 n 日。\n", "* decay_rate: _float_\n", " 指數衰退率。\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 8, "id": "8db837e8", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
EWMA
2018-02-02 00:00:00+00:00Equity(0 [2330])259.035181
Equity(1 [IR0001])19111.308296
2018-02-05 00:00:00+00:00Equity(0 [2330])259.453518
Equity(1 [IR0001])19067.749830
2018-02-06 00:00:00+00:00Equity(0 [2330])253.645352
.........
2022-06-29 00:00:00+00:00Equity(1 [IR0001])31056.864215
2022-06-30 00:00:00+00:00Equity(0 [2330])491.648000
Equity(1 [IR0001])30774.287421
2022-07-01 00:00:00+00:00Equity(0 [2330])477.564800
Equity(1 [IR0001])30037.387742
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2146 rows × 1 columns

\n", "
" ], "text/plain": [ " EWMA\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 259.035181\n", " Equity(1 [IR0001]) 19111.308296\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 259.453518\n", " Equity(1 [IR0001]) 19067.749830\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 253.645352\n", "... ...\n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) 31056.864215\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 491.648000\n", " Equity(1 [IR0001]) 30774.287421\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 477.564800\n", " Equity(1 [IR0001]) 30037.387742\n", "\n", "[2146 rows x 1 columns]" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import ExponentialWeightedMovingAverage\n", "def make_pipeline():\n", " return Pipeline(\n", " columns = {\n", " \"EWMA\": ExponentialWeightedMovingAverage(\n", " inputs = [TWEquityPricing.close],\n", " window_length = 10,\n", " decay_rate = 0.1\n", " )\n", " }\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "88330ef2", "metadata": {}, "source": [ "\n", "### zipline.pipeline.factors.ExponentialWeightedMovingStdDev\n", "\n", "計算 n 日的指數加權移動標準差。\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_\n", " 所欲計算之資料。\n", "* window_length: _int_\n", " 決定 n 日。\n", "* decay_rate: _float_\n", " 指數衰退率。\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 9, "id": "b9b342b5", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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EWMSTD
2018-02-02 00:00:00+00:00Equity(0 [2330])3.307859
Equity(1 [IR0001])71.847546
2018-02-05 00:00:00+00:00Equity(0 [2330])1.095966
Equity(1 [IR0001])40.935224
2018-02-06 00:00:00+00:00Equity(0 [2330])4.553660
.........
2022-06-29 00:00:00+00:00Equity(1 [IR0001])152.145031
2022-06-30 00:00:00+00:00Equity(0 [2330])4.637399
Equity(1 [IR0001])226.079224
2022-07-01 00:00:00+00:00Equity(0 [2330])11.106583
Equity(1 [IR0001])580.480345
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2146 rows × 1 columns

\n", "
" ], "text/plain": [ " EWMSTD\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 3.307859\n", " Equity(1 [IR0001]) 71.847546\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 1.095966\n", " Equity(1 [IR0001]) 40.935224\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 4.553660\n", "... ...\n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) 152.145031\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 4.637399\n", " Equity(1 [IR0001]) 226.079224\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 11.106583\n", " Equity(1 [IR0001]) 580.480345\n", "\n", "[2146 rows x 1 columns]" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import ExponentialWeightedMovingStdDev\n", "def make_pipeline():\n", " return Pipeline(\n", " columns = {\n", " \"EWMSTD\": ExponentialWeightedMovingStdDev(\n", " inputs = [TWEquityPricing.close],\n", " window_length = 10,\n", " decay_rate = 0.1\n", " )\n", " }\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "19d27e29", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.Latest\n", "\n", "輸出最近一期資料。\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_\n", " 所欲計算之資料。\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 10, "id": "ab7516d2", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Latest
2018-02-02 00:00:00+00:00Equity(0 [2330])259.50
Equity(1 [IR0001])19121.21
2018-02-05 00:00:00+00:00Equity(0 [2330])259.50
Equity(1 [IR0001])19062.91
2018-02-06 00:00:00+00:00Equity(0 [2330])253.00
.........
2022-06-29 00:00:00+00:00Equity(1 [IR0001])31044.99
2022-06-30 00:00:00+00:00Equity(0 [2330])491.00
Equity(1 [IR0001])30742.89
2022-07-01 00:00:00+00:00Equity(0 [2330])476.00
Equity(1 [IR0001])29955.51
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2146 rows × 1 columns

\n", "
" ], "text/plain": [ " Latest\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 259.50\n", " Equity(1 [IR0001]) 19121.21\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 259.50\n", " Equity(1 [IR0001]) 19062.91\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 253.00\n", "... ...\n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) 31044.99\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 491.00\n", " Equity(1 [IR0001]) 30742.89\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 476.00\n", " Equity(1 [IR0001]) 29955.51\n", "\n", "[2146 rows x 1 columns]" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import Latest\n", "def make_pipeline():\n", " return Pipeline(\n", " columns = {\n", " \"Latest\": Latest(\n", " inputs = [TWEquityPricing.close]\n", " )\n", " }\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "e3f3b00f", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.MaxDrawdown\n", "\n", "以 n 天為周期計算最大回撤。\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_\n", " 計算最大回徹所需要的價格資訊。\n", "* window_lengthL: _int_\n", " 以 n 天為週期計算。\n", "\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 11, "id": "5331f4f5", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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MaxDrawdown
2018-02-02 00:00:00+00:00Equity(0 [2330])0.0
Equity(1 [IR0001])0.0
2018-02-05 00:00:00+00:00Equity(0 [2330])0.0
Equity(1 [IR0001])0.0
2018-02-06 00:00:00+00:00Equity(0 [2330])0.0
.........
2022-06-29 00:00:00+00:00Equity(1 [IR0001])0.0
2022-06-30 00:00:00+00:00Equity(0 [2330])0.0
Equity(1 [IR0001])0.0
2022-07-01 00:00:00+00:00Equity(0 [2330])0.0
Equity(1 [IR0001])0.0
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2146 rows × 1 columns

\n", "
" ], "text/plain": [ " MaxDrawdown\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 0.0\n", " Equity(1 [IR0001]) 0.0\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 0.0\n", " Equity(1 [IR0001]) 0.0\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 0.0\n", "... ...\n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) 0.0\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 0.0\n", " Equity(1 [IR0001]) 0.0\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 0.0\n", " Equity(1 [IR0001]) 0.0\n", "\n", "[2146 rows x 1 columns]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import MaxDrawdown\n", "def make_pipeline():\n", " return Pipeline(\n", " columns = {\n", " \"MaxDrawdown\": MaxDrawdown(\n", " inputs = [TWEquityPricing.close],\n", " window_length = 1\n", " )\n", " }\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "df7b8e9e", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.Returns\n", "\n", "以 n 天為窗格，計算報酬率。\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_\n", " 計算報酬率所需要的價格資訊，預設 = EquityPricing.close。\n", "* window_lengthL: _int_\n", " 以 n 天為週期。\n", "\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 12, "id": "c788ef3b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Returns
2018-02-02 00:00:00+00:00Equity(0 [2330])0.017647
Equity(1 [IR0001])0.005086
2018-02-05 00:00:00+00:00Equity(0 [2330])0.000000
Equity(1 [IR0001])-0.003049
2018-02-06 00:00:00+00:00Equity(0 [2330])-0.025048
.........
2022-06-29 00:00:00+00:00Equity(1 [IR0001])-0.005615
2022-06-30 00:00:00+00:00Equity(0 [2330])-0.013065
Equity(1 [IR0001])-0.009731
2022-07-01 00:00:00+00:00Equity(0 [2330])-0.030550
Equity(1 [IR0001])-0.025612
\n", "

2146 rows × 1 columns

\n", "
" ], "text/plain": [ " Returns\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 0.017647\n", " Equity(1 [IR0001]) 0.005086\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 0.000000\n", " Equity(1 [IR0001]) -0.003049\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) -0.025048\n", "... ...\n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) -0.005615\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) -0.013065\n", " Equity(1 [IR0001]) -0.009731\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) -0.030550\n", " Equity(1 [IR0001]) -0.025612\n", "\n", "[2146 rows x 1 columns]" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import Returns\n", "def make_pipeline():\n", " return Pipeline(\n", " columns = {\n", " \"Returns\": Returns(\n", " inputs = [TWEquityPricing.close],\n", " window_length = 2\n", " )\n", " }\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "358b386f", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.RollingPearson\n", "\n", "計算因子或變數之間的滾動皮爾森相關係數。\n", "\n", "#### Parameters:\n", "* base_factor: _zipline.pipeline.Factor_\n", " 計算相關係數的因子。\n", "* target: _zipline.pipeline.Term or _numerical term_\n", " 與 base_factor 計算彼此間的相關係數。\n", "* correlation_length : _int_\n", " 向前 n 天為窗格計算相關係數，若僅計算前一日設定為 2。\n", "* mask: _zipline.pipeline.Filter_\n", " 遮蔽特定證券所需的濾網，遮蔽者將不會計算相關係數。\n", "\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 13, "id": "e076000b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
RollingPearson
2018-02-02 00:00:00+00:00Equity(0 [2330])0.396933
Equity(1 [IR0001])0.476625
2018-02-05 00:00:00+00:00Equity(0 [2330])0.306692
Equity(1 [IR0001])0.412337
2018-02-06 00:00:00+00:00Equity(0 [2330])0.235285
.........
2022-06-29 00:00:00+00:00Equity(1 [IR0001])0.724798
2022-06-30 00:00:00+00:00Equity(0 [2330])0.450101
Equity(1 [IR0001])0.612251
2022-07-01 00:00:00+00:00Equity(0 [2330])0.520262
Equity(1 [IR0001])0.519533
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2146 rows × 1 columns

\n", "
" ], "text/plain": [ " RollingPearson\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 0.396933\n", " Equity(1 [IR0001]) 0.476625\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 0.306692\n", " Equity(1 [IR0001]) 0.412337\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 0.235285\n", "... ...\n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) 0.724798\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 0.450101\n", " Equity(1 [IR0001]) 0.612251\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 0.520262\n", " Equity(1 [IR0001]) 0.519533\n", "\n", "[2146 rows x 1 columns]" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import RollingPearson\n", "from zipline.pipeline.factors import DailyReturns\n", "from zipline.pipeline.factors import Returns\n", "def make_pipeline():\n", " base_factor = DailyReturns(inputs = [TWEquityPricing.close])\n", " target = Returns(inputs = [TWEquityPricing.close], window_length = 6)\n", " return Pipeline(\n", " columns = {\n", " \"RollingPearson\": RollingPearson(\n", " base_factor = base_factor,\n", " target = target,\n", " correlation_length = 10\n", " )\n", " }\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "452d1307", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.RollingLinearRegressionOfReturns\n", "\n", "以一個特定資產為自變數，其餘資產為應變數，進行 OLS 迴歸。會輸出迴歸式的 beta, alpha, r_value, p_value 與 standard error。迴歸式如下: \n", "\n", "$$\n", "Return_{i,t} = \\beta_{i} \\times {Certain Return}_{i,t} + \\alpha_{i}\n", "$$\n", "\n", "#### Parameters:\n", "* target: _zipline.assets.Asset_\n", " 歸類於自變數的資產。\n", "* returns_length : _int_\n", " 向前 n 天為窗格計算報酬，若為日報酬率，設定為 2。\n", "* regression_length: _int_\n", " 計算各項迴歸式的向前窗格天數。\n", "* mask: _zipline.pipeline.Filter_\n", " 遮蔽特定證券所需的濾網，遮蔽者將不會計算相關係數。\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 14, "id": "a280b373", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "====================================================================================================\n", "Beta: Equity(0 [2330]) 2.628594\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.001886\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.911471\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000006\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.342465\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 2.652884\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.002775\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.914045\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000005\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.339837\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 2.361614\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.00435\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.923077\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000003\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.284059\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.489498\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.005201\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.904185\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000009\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.203125\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.331859\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.002195\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.880894\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000032\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.206582\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.269446\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.000377\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.886592\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000024\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.191188\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.23135\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001303\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.893236\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000017\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.178912\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.234696\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001534\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.90296\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.00001\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.169625\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.149199\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001079\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.93429\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000001\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.12659\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.151954\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001454\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.932109\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000001\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.129211\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.186877\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.000067\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.938333\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 6.945594e-07\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.12624\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.176821\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.000397\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.939137\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 6.430988e-07\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.124271\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.161261\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.000032\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.93862\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 6.758080e-07\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.123199\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.157749\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.00098\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.934948\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 9.500134e-07\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.126824\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.135675\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.002094\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.946007\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 3.182224e-07\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.112334\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.128316\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001498\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.932382\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000001\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.126277\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.182984\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.000481\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.912597\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000005\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.152997\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.300328\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.000582\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.836645\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000191\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.245753\n", "Name: stderr, dtype: float64\n", 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"====================================================================================================\n", "Beta: Equity(0 [2330]) 1.304814\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.000879\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.834031\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000209\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.249168\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.326791\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.000607\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.845637\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000139\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.241753\n", "Name: stderr, dtype: float64\n", 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"====================================================================================================\n", "Beta: Equity(0 [2330]) 1.779815\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.000954\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.949252\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 2.209547e-07\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.170234\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.795401\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001452\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.939398\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 6.271027e-07\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.189147\n", "Name: stderr, dtype: float64\n", 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"====================================================================================================\n", "Beta: Equity(0 [2330]) 1.80927\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.003622\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.647849\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.012233\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.614132\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.754459\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.00343\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.618327\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.018423\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.643745\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.993966\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.002658\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.664251\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.009569\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.647757\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 2.084102\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.002499\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.695497\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.005748\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.621553\n", "Name: stderr, dtype: float64\n", 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"====================================================================================================\n", "Beta: Equity(0 [2330]) 1.522686\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.003152\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.872697\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000046\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.245929\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.567923\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.002716\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.835065\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000202\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.298192\n", "Name: stderr, dtype: float64\n", 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"====================================================================================================\n", "Beta: Equity(0 [2330]) 2.314959\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001624\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.821954\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.00031\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.463063\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 2.229723\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.002521\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.798783\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000612\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.48479\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 2.417892\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.002318\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.815415\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000379\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.495511\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 2.401116\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.002489\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.795052\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000677\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.528796\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 2.280188\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.002375\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.794036\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000696\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.503909\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 2.359463\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001482\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.859279\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000082\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.405453\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 2.372879\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001837\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.854886\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000098\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.41571\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 2.37367\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.002687\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.891221\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000019\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.348728\n", "Name: stderr, dtype: float64\n", 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"====================================================================================================\n", "Beta: Equity(0 [2330]) 2.407809\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.002569\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.892332\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000018\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.351599\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 2.465317\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.00273\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.896065\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000014\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.352574\n", "Name: stderr, dtype: float64\n", 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"====================================================================================================\n", "Beta: Equity(0 [2330]) 2.35578\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.00119\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.9046\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000009\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.320453\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 2.375034\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.002534\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.915732\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000004\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.300823\n", "Name: stderr, dtype: float64\n", 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"====================================================================================================\n", "Beta: Equity(0 [2330]) 1.363278\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.000901\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.909958\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000006\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.179352\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.444501\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.000232\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.905234\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000009\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.195734\n", "Name: stderr, dtype: float64\n", 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"====================================================================================================\n", "Beta: Equity(0 [2330]) 1.376765\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.000173\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.905348\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000008\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.186425\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.421825\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.000219\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.905304\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000008\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.192579\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.338377\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.000302\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.899244\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000012\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.187948\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.370548\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.000178\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.916661\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000004\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.172501\n", "Name: stderr, dtype: float64\n", 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"====================================================================================================\n", "Beta: Equity(0 [2330]) 1.132884\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.000911\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.876169\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.00004\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.179911\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.473658\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001806\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.912239\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000005\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.191038\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.498279\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001975\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.917922\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000004\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.18695\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.395538\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.00086\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.88227\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.00003\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.214948\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.557573\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001255\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.894073\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000016\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.225261\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.504295\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.000098\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.870735\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000051\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.245247\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.060744\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.003273\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.711445\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.004326\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.302465\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.04668\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.003629\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.720765\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.003633\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.290587\n", "Name: stderr, dtype: float64\n", 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"====================================================================================================\n", "Beta: Equity(0 [2330]) 1.491107\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001303\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.923468\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000002\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.178839\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.381345\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.000821\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.943303\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 4.241074e-07\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.140317\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.455584\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001932\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.925857\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000002\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.171494\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.382403\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.00227\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.928799\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000002\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.159224\n", "Name: stderr, dtype: float64\n", 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"====================================================================================================\n", "Beta: Equity(0 [2330]) 1.282283\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.000475\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.806231\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000496\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.27162\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.34074\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001169\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.769658\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.001286\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.321061\n", "Name: stderr, dtype: float64\n", 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"====================================================================================================\n", "Beta: Equity(0 [2330]) 1.70884\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.002364\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.98072\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 7.114856e-10\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.098296\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.531008\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001054\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.967089\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 1.708938e-08\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.11628\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.558925\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001544\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.967452\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 1.600265e-08\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.117713\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.582462\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.00134\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.969066\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 1.183335e-08\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.116341\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.491494\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.000216\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.94075\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 5.493160e-07\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.155197\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.424941\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.000136\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.925418\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000002\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.168441\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 1.199536\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) 0.000136\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.822753\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000302\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.239225\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 0.861618\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.003115\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.803369\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000538\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.184365\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 0.831078\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.002422\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.83683\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.00019\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.156953\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 0.836578\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.002453\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.835966\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000196\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.158535\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 0.821515\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.002697\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.837153\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000188\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.154947\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 0.920967\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001291\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.867029\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.00006\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.152782\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 0.866769\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001881\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.857061\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.00009\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.150415\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 0.872993\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001954\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.858595\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.000085\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.150472\n", "Name: stderr, dtype: float64\n", "====================================================================================================\n", "Beta: Equity(0 [2330]) 0.902893\n", "Name: beta, dtype: float64\n", "alpha: Equity(0 [2330]) -0.001501\n", "Name: alpha, dtype: float64\n", "r_value: Equity(0 [2330]) 0.88992\n", "Name: r_value, dtype: float64\n", "p_value: Equity(0 [2330]) 0.00002\n", "Name: p_value, dtype: float64\n", "stderr: Equity(0 [2330]) 0.133589\n", "Name: stderr, dtype: float64\n" ] } ], "source": [ "from zipline.pipeline.factors import RollingLinearRegressionOfReturns\n", "from zipline.pipeline.filters import StaticAssets\n", "from zipline import run_algorithm\n", "from zipline.api import symbol, attach_pipeline, pipeline_output\n", "\n", "def make_pipeline():\n", " regressor = RollingLinearRegressionOfReturns(\n", " target = symbol(\"IR0001\"),\n", " returns_length = 2,\n", " regression_length = 14,\n", " )\n", " return Pipeline(\n", " columns = {\n", " \"beta\": regressor.beta,\n", " \"alpha\": regressor.alpha,\n", " \"r_value\": regressor.r_value,\n", " \"p_value\": regressor.p_value,\n", " \"stderr\": regressor.stderr\n", " }, screen = ~StaticAssets([symbol(\"IR0001\")])\n", " )\n", "\n", "def initialize(context):\n", " my_pipe = attach_pipeline(make_pipeline(), 'my_pipe')\n", " \n", "def handle_data(context, data):\n", " pipe = pipeline_output('my_pipe')\n", " print(\"=\" * 100)\n", " print(f\"Beta: {pipe.beta}\")\n", " print(f\"alpha: {pipe.alpha}\")\n", " print(f\"r_value: {pipe.r_value}\")\n", " print(f\"p_value: {pipe.p_value}\")\n", " print(f\"stderr: {pipe.stderr}\")\n", "\n", "def analyze(context, perf):\n", " pass\n", "\n", "results = run_algorithm(\n", " start = start_time,\n", " end = end_time,\n", " initialize = initialize,\n", " capital_base = 1e6,\n", " handle_data = handle_data,\n", " analyze = analyze, \n", " bundle = 'tquant'\n", ")\n" ] }, { "cell_type": "markdown", "id": "4357c46e", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.RollingSpearmanOfReturns\n", "\n", "給定一個特定資產，計算其他資產報酬與特定資產報酬的斯匹爾曼等級相關係數。\n", "\n", "#### Parameters:\n", "* target: _zipline.assets.Asset_\n", " 特定資產。\n", "* returns_length : _int_\n", " 向前 n 天為窗格計算報酬，若為日報酬率，設定為 2。\n", "* correlation_length : _int_\n", " 計算相關係數的窗格數。\n", "* mask: _zipline.pipeline.Filter_\n", " 遮蔽特定證券所需的濾網，遮蔽者將不會計算相關係數。\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 15, "id": "5c8e580f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.859341\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.904291\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.926293\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.926293\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.860287\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.875688\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.880089\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.888889\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.915292\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.920879\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.912088\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.920879\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.912088\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.925275\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.938462\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.859341\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.832967\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.797802\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.885714\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.885714\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.868132\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.876923\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.81978\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.824176\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.797802\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.79648\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.778878\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.809681\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.770077\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.968097\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.939495\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.952696\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.952696\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.935094\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.939495\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.906491\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.875688\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.888889\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.898901\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.898901\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.881319\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.868132\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.868132\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.824176\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.903297\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.885714\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.89011\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.920879\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.925275\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.797802\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.806593\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.810989\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.810989\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.850549\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.802198\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.802198\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.81978\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.832967\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.828571\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.859341\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.797802\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.789011\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.69747\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.79868\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.743937\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.743937\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.766012\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.779257\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.768936\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.782271\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.802272\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.823198\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.754228\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.787601\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.819902\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.806642\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.806642\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.828742\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.791172\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.782332\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.832098\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.836548\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.864102\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.792502\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.735107\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.796917\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.827823\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.827823\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.743937\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.730691\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.750275\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.750275\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.745055\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.802198\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.846154\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.868132\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.863736\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.789011\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.789011\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.723077\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.687912\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.687912\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.613187\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.630769\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.652747\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.723077\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.78022\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.78022\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.784615\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.740659\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.775824\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.784615\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.797802\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.815385\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.846154\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.810989\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.78022\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.727473\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.784615\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.789011\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.758242\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.705495\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.749451\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.828571\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.806593\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.872527\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.898901\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.925275\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.938462\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.89011\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.916484\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.907692\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.881319\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.89011\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.894505\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.885714\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.872527\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.872527\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.898901\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.784615\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.762637\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.437363\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.41978\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.336264\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.397802\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.252747\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.059341\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.827823\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.853686\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.853686\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.888889\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.869087\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.89549\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.832238\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.832238\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.779257\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.833884\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.886689\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.868132\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.762637\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.758242\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.771429\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.916484\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.898901\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.89769\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.875688\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.853686\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.853686\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.849285\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.888889\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.888889\n", 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0.942857\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.956044\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.956044\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.951648\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.938462\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.938462\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.964835\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.978022\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.973626\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.964835\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.956044\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.942857\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.89329\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.89329\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.930694\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.930694\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.946095\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.946095\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.907692\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.881319\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.906491\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.939495\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.921893\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.919693\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.919693\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.873488\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.898901\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.881319\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.885714\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.912088\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.912088\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.915292\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.924954\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.964689\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.965897\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.919693\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.89769\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.906491\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.910892\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.907692\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.894505\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.912088\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.956044\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.934066\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.934066\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.881319\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.912088\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.898901\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.872527\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.885714\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.907692\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.868132\n", 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[2330]) 0.938462\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.89011\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.863736\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.828571\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.758242\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.78022\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.749451\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.824176\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.898901\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.942857\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.947253\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.934066\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.964835\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.942857\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.942857\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.947253\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.951648\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.96044\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.789011\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.81978\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.810989\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.745055\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.687912\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.665934\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.635864\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.631464\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.671068\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.745055\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.797802\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.806169\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.828196\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.81498\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.828196\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.869087\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.846154\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.859341\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.868132\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.917492\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.89769\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.937294\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.937294\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.928493\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.906491\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.913092\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.908691\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.930694\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.930694\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.904291\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.886689\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.837363\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.736264\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.767033\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.692308\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.714286\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.520879\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.604396\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.648352\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.674725\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.898901\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.924093\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.950496\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.937294\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.96044\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.973626\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.934066\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.938462\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.942857\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.951648\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.942857\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.912088\n", 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[2330]) 0.934066\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.925275\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.925275\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.925275\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.951648\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.964835\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.868132\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.881319\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.872527\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.868132\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.854945\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.854945\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.837363\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.810989\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.846154\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.846154\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.846154\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 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[2330]) 0.875688\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.638064\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.638064\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.719472\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.719472\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.481848\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.459341\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.578022\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.652747\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.736264\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.701099\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.70989\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.850549\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.894505\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.894505\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.828571\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.828571\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.907692\n", 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0.868132\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.872527\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.898901\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.907692\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.907692\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.903297\n", 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[2330]) 0.59186\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.60066\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.528053\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.525853\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.638064\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.582418\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.81978\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.81978\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.775824\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.806593\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.815385\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.784615\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.81978\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.907692\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.916484\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.916484\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.894505\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.903297\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.89011\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.894505\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.872527\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.894505\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.832967\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.753846\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.749451\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.797802\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.797802\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.868132\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.876923\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.657143\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.758242\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.828571\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.762637\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.727473\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.683516\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.692308\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.69967\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.69967\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.706271\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.730473\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.671068\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.731868\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.784615\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.793407\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.800881\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.827283\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.814082\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.69527\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.69527\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.816282\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.776678\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.757182\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.721861\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.63956\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.745055\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.683516\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.687912\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.687912\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.70989\n", 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RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.784615\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.789011\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.837363\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.828571\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.832967\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.802198\n", 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[2330]) 0.859341\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.859341\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.841758\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.849285\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.858086\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.855886\n", 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0.934066\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.947253\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.964835\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.964835\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.951648\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.951648\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.991209\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.991209\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.872527\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.837363\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.727473\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.723077\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.802198\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.837363\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.837363\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.876923\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.832967\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.828571\n", "====================================================================================================\n", " RollingSpearmanOfReturns\n", "Equity(0 [2330]) 0.872527\n" ] } ], "source": [ "from zipline.pipeline.factors import RollingSpearmanOfReturns\n", "from zipline.pipeline.filters import StaticAssets\n", "from zipline import run_algorithm\n", "from zipline.api import symbol, attach_pipeline, pipeline_output\n", "\n", "def make_pipeline():\n", " regressor = RollingSpearmanOfReturns(\n", " target = symbol(\"IR0001\"),\n", " returns_length = 2,\n", " correlation_length = 14,\n", " )\n", " return Pipeline(\n", " columns = {\n", " \"RollingSpearmanOfReturns\": regressor\n", " }, screen = ~StaticAssets([symbol(\"IR0001\")])\n", " )\n", "\n", "def initialize(context):\n", " my_pipe = attach_pipeline(make_pipeline(), 'my_pipe')\n", " \n", "def handle_data(context, data):\n", " pipe = pipeline_output('my_pipe')\n", " print(\"=\" * 100)\n", " print(pipe)\n", "\n", "def analyze(context, perf):\n", " pass\n", "\n", "results = run_algorithm(\n", " start = start_time,\n", " end = end_time,\n", " initialize = initialize,\n", " capital_base = 1e6,\n", " handle_data = handle_data,\n", " analyze = analyze, \n", " bundle = 'tquant'\n", ")\n" ] }, { "cell_type": "markdown", "id": "750cd6fc", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.SimpleBeta\n", "\n", "給定一個特定資產，以該特定資產為自變數，其他資產為應變數，進行迴歸計算 beta 值，與 RollingLinearRegressionOfReturns 的 beta 等價。\n", "\n", "#### Parameters:\n", "* target: _zipline.assets.Asset_\n", " 特定資產。\n", "* regression_length : _int_\n", " 計算 beta 的窗格數。\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 16, "id": "bb8d69dc", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "====================================================================================================\n", " SimpleBeta\n", "Equity(0 [2330]) 2.118428\n", "====================================================================================================\n", " SimpleBeta\n", "Equity(0 [2330]) 2.104674\n", 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"====================================================================================================\n", " SimpleBeta\n", "Equity(0 [2330]) 1.423504\n", "====================================================================================================\n", " SimpleBeta\n", "Equity(0 [2330]) 1.387244\n", "====================================================================================================\n", " SimpleBeta\n", "Equity(0 [2330]) 1.391438\n", "====================================================================================================\n", " SimpleBeta\n", "Equity(0 [2330]) 1.387643\n", "====================================================================================================\n", " SimpleBeta\n", "Equity(0 [2330]) 1.365164\n", "====================================================================================================\n", " SimpleBeta\n", "Equity(0 [2330]) 1.351128\n", "====================================================================================================\n", " SimpleBeta\n", "Equity(0 [2330]) 1.283979\n", "====================================================================================================\n", " SimpleBeta\n", "Equity(0 [2330]) 1.242294\n", "====================================================================================================\n", " SimpleBeta\n", "Equity(0 [2330]) 1.210354\n", "====================================================================================================\n", " SimpleBeta\n", "Equity(0 [2330]) 1.225087\n", "====================================================================================================\n", " SimpleBeta\n", "Equity(0 [2330]) 1.207092\n", "====================================================================================================\n", " SimpleBeta\n", "Equity(0 [2330]) 1.233086\n", "====================================================================================================\n", " SimpleBeta\n", "Equity(0 [2330]) 1.215484\n", "====================================================================================================\n", " SimpleBeta\n", "Equity(0 [2330]) 1.199251\n", "====================================================================================================\n", " SimpleBeta\n", "Equity(0 [2330]) 1.202016\n" ] } ], "source": [ "from zipline.pipeline.factors import SimpleBeta\n", "from zipline.pipeline.filters import StaticAssets\n", "from zipline import run_algorithm\n", "from zipline.api import symbol, attach_pipeline, pipeline_output\n", "\n", "def make_pipeline():\n", " Beta = SimpleBeta(\n", " target = symbol(\"IR0001\"),\n", " regression_length = 30\n", " )\n", " return Pipeline(\n", " columns = {\n", " \"SimpleBeta\": Beta\n", " }, screen = ~StaticAssets([symbol(\"IR0001\")])\n", " )\n", "\n", "def initialize(context):\n", " my_pipe = attach_pipeline(make_pipeline(), 'my_pipe')\n", " \n", "def handle_data(context, data):\n", " pipe = pipeline_output('my_pipe')\n", " print(\"=\" * 100)\n", " print(pipe)\n", "\n", "def analyze(context, perf):\n", " pass\n", "\n", "results = run_algorithm(\n", " start = start_time,\n", " end = end_time,\n", " initialize = initialize,\n", " capital_base = 1e6,\n", " handle_data = handle_data,\n", " analyze = analyze, \n", " bundle = 'tquant'\n", ")\n" ] }, { "cell_type": "markdown", "id": "12ef2162", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.RSI\n", "\n", "以 n 天為窗格，計算 RSI。\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_\n", " 計算報酬率所需要的價格資訊，預設 = EquityPricing.close。\n", "* window_lengthL: _int_\n", " 以 n 天為週期，預設為 15 日。\n", "\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 17, "id": "53788797", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
RSI
2018-02-02 00:00:00+00:00Equity(0 [2330])60.436893
Equity(1 [IR0001])60.170946
2018-02-05 00:00:00+00:00Equity(0 [2330])60.436893
Equity(1 [IR0001])59.138719
2018-02-06 00:00:00+00:00Equity(0 [2330])57.793765
.........
2022-06-29 00:00:00+00:00Equity(1 [IR0001])41.305609
2022-06-30 00:00:00+00:00Equity(0 [2330])40.030904
Equity(1 [IR0001])41.586548
2022-07-01 00:00:00+00:00Equity(0 [2330])39.244412
Equity(1 [IR0001])40.149446
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2146 rows × 1 columns

\n", "
" ], "text/plain": [ " RSI\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 60.436893\n", " Equity(1 [IR0001]) 60.170946\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 60.436893\n", " Equity(1 [IR0001]) 59.138719\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 57.793765\n", "... ...\n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) 41.305609\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 40.030904\n", " Equity(1 [IR0001]) 41.586548\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 39.244412\n", " Equity(1 [IR0001]) 40.149446\n", "\n", "[2146 rows x 1 columns]" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import RSI\n", "def make_pipeline():\n", " return Pipeline(\n", " columns = {\n", " \"RSI\": RSI(\n", " inputs = [TWEquityPricing.close],\n", " window_length = 87\n", " )\n", " }\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "63b57e93", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.VWAP\n", "\n", "以 n 天為窗格，計算 Volume Weighted Average Price (以成交量加權價格)。\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_\n", " 計算報酬率所需要的價格與成交量資訊，預設 = EquityPricing.close,EquityPricing.volume。\n", "* window_lengthL: _int_\n", " 以 n 天為週期。\n", "\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 18, "id": "78d09c45", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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VWAP
2018-02-02 00:00:00+00:00Equity(0 [2330])238.161039
Equity(1 [IR0001])18491.679435
2018-02-05 00:00:00+00:00Equity(0 [2330])238.608356
Equity(1 [IR0001])18499.878408
2018-02-06 00:00:00+00:00Equity(0 [2330])238.922956
.........
2022-06-29 00:00:00+00:00Equity(1 [IR0001])33489.451784
2022-06-30 00:00:00+00:00Equity(0 [2330])551.037441
Equity(1 [IR0001])33419.285813
2022-07-01 00:00:00+00:00Equity(0 [2330])549.093145
Equity(1 [IR0001])33317.315573
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2146 rows × 1 columns

\n", "
" ], "text/plain": [ " VWAP\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 238.161039\n", " Equity(1 [IR0001]) 18491.679435\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 238.608356\n", " Equity(1 [IR0001]) 18499.878408\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 238.922956\n", "... ...\n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) 33489.451784\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 551.037441\n", " Equity(1 [IR0001]) 33419.285813\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 549.093145\n", " Equity(1 [IR0001]) 33317.315573\n", "\n", "[2146 rows x 1 columns]" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import VWAP\n", "def make_pipeline():\n", " return Pipeline(\n", " columns = {\n", " \"VWAP\": VWAP(\n", " inputs = [TWEquityPricing.close, TWEquityPricing.volume],\n", " window_length = 87\n", " )\n", " }\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "b404dee8", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.WeightedAverageValue\n", "\n", "以 n 天為窗格，與 VWAP 相似，計算以成交量加權的某數值平均。\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_\n", " 計算報酬率所需要的資訊，預設 = EquityPricing.close,EquityPricing.volume。\n", "* window_lengthL: _int_\n", " 以 n 天為週期。\n", "\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 19, "id": "de898eef", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
WeightedAverageValue
2018-02-02 00:00:00+00:00Equity(0 [2330])260.303304
Equity(1 [IR0001])0.000000
2018-02-05 00:00:00+00:00Equity(0 [2330])260.971786
Equity(1 [IR0001])0.000000
2018-02-06 00:00:00+00:00Equity(0 [2330])260.065718
.........
2022-06-29 00:00:00+00:00Equity(1 [IR0001])0.000000
2022-06-30 00:00:00+00:00Equity(0 [2330])501.895564
Equity(1 [IR0001])0.000000
2022-07-01 00:00:00+00:00Equity(0 [2330])498.581515
Equity(1 [IR0001])0.000000
\n", "

2146 rows × 1 columns

\n", "
" ], "text/plain": [ " WeightedAverageValue\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 260.303304\n", " Equity(1 [IR0001]) 0.000000\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 260.971786\n", " Equity(1 [IR0001]) 0.000000\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 260.065718\n", "... ...\n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) 0.000000\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 501.895564\n", " Equity(1 [IR0001]) 0.000000\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 498.581515\n", " Equity(1 [IR0001]) 0.000000\n", "\n", "[2146 rows x 1 columns]" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import WeightedAverageValue\n", "def make_pipeline():\n", " return Pipeline(\n", " columns = {\n", " \"WeightedAverageValue\": WeightedAverageValue(\n", " inputs = [TWEquityPricing.high, TWEquityPricing.volume],\n", " window_length = 10\n", " )\n", " }\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "eae5e4c8", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.PercentChange\n", "\n", "以 n 天為窗格，計算 x 變數百分比變化。計算公式:\n", "\n", "$$\n", "\\frac{new - old}{|old|}\n", "$$\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_\n", " x 變數資訊。\n", "* window_lengthL: _int_\n", " 以 n 天為週期，需大於等於 2。\n", "\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 20, "id": "fa61755f", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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PercentChange
2018-02-02 00:00:00+00:00Equity(0 [2330])0.017647
Equity(1 [IR0001])0.005086
2018-02-05 00:00:00+00:00Equity(0 [2330])0.000000
Equity(1 [IR0001])-0.003049
2018-02-06 00:00:00+00:00Equity(0 [2330])-0.025048
.........
2022-06-29 00:00:00+00:00Equity(1 [IR0001])-0.005615
2022-06-30 00:00:00+00:00Equity(0 [2330])-0.013065
Equity(1 [IR0001])-0.009731
2022-07-01 00:00:00+00:00Equity(0 [2330])-0.030550
Equity(1 [IR0001])-0.025612
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2146 rows × 1 columns

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" ], "text/plain": [ " PercentChange\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 0.017647\n", " Equity(1 [IR0001]) 0.005086\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 0.000000\n", " Equity(1 [IR0001]) -0.003049\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) -0.025048\n", "... ...\n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) -0.005615\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) -0.013065\n", " Equity(1 [IR0001]) -0.009731\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) -0.030550\n", " Equity(1 [IR0001]) -0.025612\n", "\n", "[2146 rows x 1 columns]" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import PercentChange\n", "def make_pipeline():\n", " return Pipeline(\n", " columns = {\n", " \"PercentChange\": PercentChange(\n", " inputs = [TWEquityPricing.close],\n", " window_length = 2\n", " )\n", " }\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "435f3d28", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.PeerCount\n", "\n", "以 factor/classifier 為判斷基準，呈現同類的公司數量。這裡以報酬率的四分位數為基準。\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.factors.factor_\n", " 判斷基準\n", "* window_lengthL: _int_\n", " 以 n 天為週期。\n", "\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 21, "id": "9dfceecc", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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PeerCount
2018-02-02 00:00:00+00:00Equity(0 [2330])1.0
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2018-02-05 00:00:00+00:00Equity(0 [2330])1.0
Equity(1 [IR0001])1.0
2018-02-06 00:00:00+00:00Equity(0 [2330])1.0
.........
2022-06-29 00:00:00+00:00Equity(1 [IR0001])1.0
2022-06-30 00:00:00+00:00Equity(0 [2330])1.0
Equity(1 [IR0001])1.0
2022-07-01 00:00:00+00:00Equity(0 [2330])1.0
Equity(1 [IR0001])1.0
\n", "

2146 rows × 1 columns

\n", "
" ], "text/plain": [ " PeerCount\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 1.0\n", " Equity(1 [IR0001]) 1.0\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 1.0\n", " Equity(1 [IR0001]) 1.0\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 1.0\n", "... ...\n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) 1.0\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 1.0\n", " Equity(1 [IR0001]) 1.0\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 1.0\n", " Equity(1 [IR0001]) 1.0\n", "\n", "[2146 rows x 1 columns]" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import PeerCount, Returns\n", "def make_pipeline():\n", "\n", " Ret = Returns(inputs = [TWEquityPricing.close], window_length = 2)\n", " quarter = Ret.quartiles()\n", " \n", " return Pipeline(\n", " columns = {\n", " \"PeerCount\": PeerCount(\n", " inputs = [quarter]\n", " )\n", " }\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "f5002863", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.RateOfChangePercentage\n", "\n", "計算因子在指定時間長度的 %變化量，公式：(尾 - 頭) / 頭 * 100\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_\n", " 計算所需價量資料。\n", "* window_lengthL: _int_\n", " 以 n 天為週期。\n", "\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 22, "id": "4f8334ca", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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RateOfChangePercentage
2018-02-02 00:00:00+00:00Equity(0 [2330])1.565558
Equity(1 [IR0001])0.084375
2018-02-05 00:00:00+00:00Equity(0 [2330])-0.764818
Equity(1 [IR0001])-0.936954
2018-02-06 00:00:00+00:00Equity(0 [2330])-4.887218
.........
2022-06-29 00:00:00+00:00Equity(1 [IR0001])-2.510118
2022-06-30 00:00:00+00:00Equity(0 [2330])-3.346457
Equity(1 [IR0001])-2.663798
2022-07-01 00:00:00+00:00Equity(0 [2330])-4.990020
Equity(1 [IR0001])-3.973330
\n", "

2146 rows × 1 columns

\n", "
" ], "text/plain": [ " RateOfChangePercentage\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 1.565558\n", " Equity(1 [IR0001]) 0.084375\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) -0.764818\n", " Equity(1 [IR0001]) -0.936954\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) -4.887218\n", "... ...\n", "2022-06-29 00:00:00+00:00 Equity(1 [IR0001]) -2.510118\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) -3.346457\n", " Equity(1 [IR0001]) -2.663798\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) -4.990020\n", " Equity(1 [IR0001]) -3.973330\n", "\n", "[2146 rows x 1 columns]" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import RateOfChangePercentage\n", "def make_pipeline():\n", " \n", " return Pipeline(\n", " columns = {\n", " \"RateOfChangePercentage\": RateOfChangePercentage(\n", " inputs = [TWEquityPricing.close],\n", " window_length = 10\n", " )\n", " }\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "6a221e67", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.Aroon\n", "\n", "阿隆指標，計算從指定期間 (window_length) 股價最高/低點到現在的時間，回傳一組 (down, up)，數值介於 0 - 100。\n", "\n", "計算方式：
\n", "up = 取期間 EquityPricing.high 最高那日index，除以 (window_length - 1)，再乘上100
\n", "down = 取期間 EquityPricing.low 最低那日index，除以 (window_length - 1)，再乘上100
\n", "100 = 期間最後一日達到最高/低，0 = 期間第一日達到最高/低
\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_\n", " 計算所需價量資料，預設 = EquityPricing.low, EquityPricing.high。\n", "* window_lengthL: _int_\n", " 以 n 天為週期。\n", " \n", "\n", "#### Note:\n", "不推薦以下使用方式。這種方式會產出帶有 tuple 格式的 DataFrame，在某些 pandas 版本（例如：1.5.3）下會出現`ValueError: no types given`的錯誤。\n", "\n", "```python\n", "def make_pipeline():\n", " \n", " return Pipeline(\n", " columns = {\n", " \"Aroon\": Aroon(\n", " inputs = [TWEquityPricing.high, TWEquityPricing.low],\n", " window_length = 10,\n", " mask = StaticSids([0])\n", " )\n", " }, screen=StaticSids([0])\n", " )\n", "```\n", "\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 23, "id": "41e2d329", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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updown
2018-02-02 00:00:00+00:00Equity(0 [2330])22.2222220.000000
2018-02-05 00:00:00+00:00Equity(0 [2330])11.11111144.444444
2018-02-06 00:00:00+00:00Equity(0 [2330])0.000000100.000000
2018-02-07 00:00:00+00:00Equity(0 [2330])66.666667100.000000
2018-02-08 00:00:00+00:00Equity(0 [2330])55.55555688.888889
............
2022-06-27 00:00:00+00:00Equity(0 [2330])0.000000100.000000
2022-06-28 00:00:00+00:00Equity(0 [2330])22.22222288.888889
2022-06-29 00:00:00+00:00Equity(0 [2330])11.11111177.777778
2022-06-30 00:00:00+00:00Equity(0 [2330])0.00000066.666667
2022-07-01 00:00:00+00:00Equity(0 [2330])0.000000100.000000
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1073 rows × 2 columns

\n", "
" ], "text/plain": [ " up down\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 22.222222 0.000000\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 11.111111 44.444444\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 0.000000 100.000000\n", "2018-02-07 00:00:00+00:00 Equity(0 [2330]) 66.666667 100.000000\n", "2018-02-08 00:00:00+00:00 Equity(0 [2330]) 55.555556 88.888889\n", "... ... ...\n", "2022-06-27 00:00:00+00:00 Equity(0 [2330]) 0.000000 100.000000\n", "2022-06-28 00:00:00+00:00 Equity(0 [2330]) 22.222222 88.888889\n", "2022-06-29 00:00:00+00:00 Equity(0 [2330]) 11.111111 77.777778\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 0.000000 66.666667\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 0.000000 100.000000\n", "\n", "[1073 rows x 2 columns]" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import Aroon\n", "from zipline.pipeline.filters import StaticSids\n", "def make_pipeline():\n", " \n", " aroon = Aroon(inputs = [TWEquityPricing.high, TWEquityPricing.low],\n", " window_length = 10,\n", " mask = StaticSids([0]))\n", " \n", " return Pipeline(\n", " columns = {\n", " \"up\": aroon.up,\n", " \"down\": aroon.down,\n", " }, screen=StaticSids([0])\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "c5ab90c3", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.FastStochasticOscillator\n", "\n", "快速隨機指標 (K值)，0-100，通常超過 80 有超買跡象，低於 20 有超賣跡象；D 值通常為 K 值三日 SMA。\n", "\n", "計算方式：\n", "(最後收盤價 - 期間最低) / (期間最高 - 期間最低) * 100\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_\n", " 計算所需價量資料，預設 = EquityPricing.close, EquityPricing.low, EquityPricing.high。\n", "* window_lengthL: _int_\n", " 以 n 天為週期，預設 = 14。\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 24, "id": "5c1e7a84", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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FastStochasticOscillator
2018-02-02 00:00:00+00:00Equity(0 [2330])55.172414
2018-02-05 00:00:00+00:00Equity(0 [2330])53.571429
2018-02-06 00:00:00+00:00Equity(0 [2330])16.129032
2018-02-07 00:00:00+00:00Equity(0 [2330])16.666667
2018-02-08 00:00:00+00:00Equity(0 [2330])20.000000
.........
2022-06-27 00:00:00+00:00Equity(0 [2330])4.808313
2022-06-28 00:00:00+00:00Equity(0 [2330])43.548387
2022-06-29 00:00:00+00:00Equity(0 [2330])40.322581
2022-06-30 00:00:00+00:00Equity(0 [2330])19.354839
2022-07-01 00:00:00+00:00Equity(0 [2330])0.000000
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1073 rows × 1 columns

\n", "
" ], "text/plain": [ " FastStochasticOscillator\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 55.172414\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 53.571429\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 16.129032\n", "2018-02-07 00:00:00+00:00 Equity(0 [2330]) 16.666667\n", "2018-02-08 00:00:00+00:00 Equity(0 [2330]) 20.000000\n", "... ...\n", "2022-06-27 00:00:00+00:00 Equity(0 [2330]) 4.808313\n", "2022-06-28 00:00:00+00:00 Equity(0 [2330]) 43.548387\n", "2022-06-29 00:00:00+00:00 Equity(0 [2330]) 40.322581\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 19.354839\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 0.000000\n", "\n", "[1073 rows x 1 columns]" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import FastStochasticOscillator\n", "def make_pipeline():\n", " \n", " return Pipeline(\n", " columns = {\n", " \"FastStochasticOscillator\": FastStochasticOscillator(\n", " inputs = [TWEquityPricing.close, TWEquityPricing.low, TWEquityPricing.high],\n", " window_length = 10,\n", " mask = StaticSids([0])\n", " )\n", " }, screen=StaticSids([0])\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "906c0b0f", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.TrueRange\n", "\n", "真實波動幅度，從\n", " \n", " 今天最高 - 今天最低\n", " |今天最高 - 昨天收盤| \n", " |今天最低 - 昨天收盤| \n", " \n", "中挑出最大值，數值越大代表波動性越大。\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_\n", " 計算所需價量資料，預設 = EquityPricing.high, EquityPricing.low, EquityPricing.close。\n", "* window_length: _int_\n", " 以 n 天為週期，預設 = 2，且\"目前也僅支援 window_length = 2\"。\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 25, "id": "40f91cba", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TrueRange
2018-02-02 00:00:00+00:00Equity(0 [2330])6.0
2018-02-05 00:00:00+00:00Equity(0 [2330])5.0
2018-02-06 00:00:00+00:00Equity(0 [2330])9.0
2018-02-07 00:00:00+00:00Equity(0 [2330])19.0
2018-02-08 00:00:00+00:00Equity(0 [2330])6.5
.........
2022-06-27 00:00:00+00:00Equity(0 [2330])7.0
2022-06-28 00:00:00+00:00Equity(0 [2330])19.5
2022-06-29 00:00:00+00:00Equity(0 [2330])4.0
2022-06-30 00:00:00+00:00Equity(0 [2330])7.5
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1073 rows × 1 columns

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" ], "text/plain": [ " TrueRange\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 6.0\n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 5.0\n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 9.0\n", "2018-02-07 00:00:00+00:00 Equity(0 [2330]) 19.0\n", "2018-02-08 00:00:00+00:00 Equity(0 [2330]) 6.5\n", "... ...\n", "2022-06-27 00:00:00+00:00 Equity(0 [2330]) 7.0\n", "2022-06-28 00:00:00+00:00 Equity(0 [2330]) 19.5\n", "2022-06-29 00:00:00+00:00 Equity(0 [2330]) 4.0\n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 7.5\n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 15.0\n", "\n", "[1073 rows x 1 columns]" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import TrueRange\n", "def make_pipeline():\n", " \n", " return Pipeline(\n", " columns = {\n", " \"TrueRange\": TrueRange(\n", " inputs = [TWEquityPricing.high, TWEquityPricing.low, TWEquityPricing.close],\n", " window_length = 2,\n", " mask = StaticSids([0])\n", " )\n", " }, screen=StaticSids([0])\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] }, { "cell_type": "markdown", "id": "929806a4", "metadata": {}, "source": [ "\n", "\n", "### zipline.pipeline.factors.IchimokuKinkoHyo\n", "\n", "輸出順序為 \"tenkan_sen\" 轉換線， \"kijun_sen\" 基準線， \"senkou_span_a\" 先行帶A， \"senkou_span_b\" 先行帶B， \"chikou_span\" 遲行帶
\n", "\n", "\"tenkan_sen\" 轉換線：(9日最高 ＋ 9日最低) / 2
\n", "\"kijun_sen\" 基準線：(26日最高 ＋ 26日最低) / 2
\n", "\"senkou_span_a\" 先行帶A：前兩項平均
\n", "\"senkou_span_b\" 先行帶B：(52日最高 ＋ 52日最低) / 2
\n", " \"chikou_span\" 遲行帶：26天前收盤價
\n", "\n", "#### Parameters:\n", "* inputs: _zipline.pipeline.data.Dataset.BoundColumn_\n", " 計算所需價量資料，預設 = EquityPricing.high, EquityPricing.low, EquityPricing.close。\n", "* window_lengthL: _int_\n", " 以 n 天為週期，預設 = 52。\n", "* tenkan_sen_length: _int_\n", " 決定轉換線日數。\n", "* kijun_sen_length: _int_\n", " 決定基準線日數。\n", "* chikou_span_length: _int_\n", " 決定遲行帶日數。\n", "\n", "#### Note:\n", "不推薦以下使用方式。這種方式會產出帶有 tuple 格式的 DataFrame，在某些 pandas 版本（例如：1.5.3）下會出現`ValueError: no types given`的錯誤。\n", "\n", "```python\n", "def make_pipeline():\n", " \n", " return Pipeline(\n", " columns = {\n", " \"IchimokuKinkoHyo\": IchimokuKinkoHyo(\n", " inputs = [TWEquityPricing.high, TWEquityPricing.low, TWEquityPricing.close],\n", " window_length = 52,\n", " mask = StaticSids([0])\n", " )\n", " }, screen=StaticSids([0])\n", " )\n", "```\n", "\n", "[回到選單](#menu)" ] }, { "cell_type": "code", "execution_count": 26, "id": "90ed9ae7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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tenkan_senkijun_sensenkou_span_asenkou_span_bchikou_span
2018-02-02 00:00:00+00:00Equity(0 [2330])259.00245.50000252.250000244.250000225.000000
2018-02-05 00:00:00+00:00Equity(0 [2330])259.00245.50000252.250000244.250000226.000000
2018-02-06 00:00:00+00:00Equity(0 [2330])257.25246.25000251.750000244.250000229.500000
2018-02-07 00:00:00+00:00Equity(0 [2330])249.00248.50000248.750000244.250000232.500000
2018-02-08 00:00:00+00:00Equity(0 [2330])247.75249.25000248.500000244.250000237.000000
.....................
2022-06-27 00:00:00+00:00Equity(0 [2330])500.50520.98723510.743615529.938605519.179764
2022-06-28 00:00:00+00:00Equity(0 [2330])500.50520.98723510.743615529.938605527.136542
2022-06-29 00:00:00+00:00Equity(0 [2330])500.50520.98723510.743615529.938605525.147348
2022-06-30 00:00:00+00:00Equity(0 [2330])495.50520.98723508.243615526.457515517.190570
2022-07-01 00:00:00+00:00Equity(0 [2330])491.00516.48723503.743615521.957515521.168959
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1073 rows × 5 columns

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" ], "text/plain": [ " tenkan_sen kijun_sen \\\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 259.00 245.50000 \n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 259.00 245.50000 \n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 257.25 246.25000 \n", "2018-02-07 00:00:00+00:00 Equity(0 [2330]) 249.00 248.50000 \n", "2018-02-08 00:00:00+00:00 Equity(0 [2330]) 247.75 249.25000 \n", "... ... ... \n", "2022-06-27 00:00:00+00:00 Equity(0 [2330]) 500.50 520.98723 \n", "2022-06-28 00:00:00+00:00 Equity(0 [2330]) 500.50 520.98723 \n", "2022-06-29 00:00:00+00:00 Equity(0 [2330]) 500.50 520.98723 \n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 495.50 520.98723 \n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 491.00 516.48723 \n", "\n", " senkou_span_a senkou_span_b \\\n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 252.250000 244.250000 \n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 252.250000 244.250000 \n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 251.750000 244.250000 \n", "2018-02-07 00:00:00+00:00 Equity(0 [2330]) 248.750000 244.250000 \n", "2018-02-08 00:00:00+00:00 Equity(0 [2330]) 248.500000 244.250000 \n", "... ... ... \n", "2022-06-27 00:00:00+00:00 Equity(0 [2330]) 510.743615 529.938605 \n", "2022-06-28 00:00:00+00:00 Equity(0 [2330]) 510.743615 529.938605 \n", "2022-06-29 00:00:00+00:00 Equity(0 [2330]) 510.743615 529.938605 \n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 508.243615 526.457515 \n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 503.743615 521.957515 \n", "\n", " chikou_span \n", "2018-02-02 00:00:00+00:00 Equity(0 [2330]) 225.000000 \n", "2018-02-05 00:00:00+00:00 Equity(0 [2330]) 226.000000 \n", "2018-02-06 00:00:00+00:00 Equity(0 [2330]) 229.500000 \n", "2018-02-07 00:00:00+00:00 Equity(0 [2330]) 232.500000 \n", "2018-02-08 00:00:00+00:00 Equity(0 [2330]) 237.000000 \n", "... ... \n", "2022-06-27 00:00:00+00:00 Equity(0 [2330]) 519.179764 \n", "2022-06-28 00:00:00+00:00 Equity(0 [2330]) 527.136542 \n", "2022-06-29 00:00:00+00:00 Equity(0 [2330]) 525.147348 \n", "2022-06-30 00:00:00+00:00 Equity(0 [2330]) 517.190570 \n", "2022-07-01 00:00:00+00:00 Equity(0 [2330]) 521.168959 \n", "\n", "[1073 rows x 5 columns]" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from zipline.pipeline.factors import IchimokuKinkoHyo\n", "def make_pipeline():\n", " \n", " Ich = IchimokuKinkoHyo(\n", " inputs = [TWEquityPricing.high, TWEquityPricing.low, TWEquityPricing.close],\n", " window_length = 52,\n", " mask = StaticSids([0])\n", " )\n", "\n", " return Pipeline(\n", " columns = {\n", " \"tenkan_sen\": Ich.tenkan_sen,\n", " \"kijun_sen\": Ich.kijun_sen,\n", " \"senkou_span_a\": Ich.senkou_span_a,\n", " \"senkou_span_b\": Ich.senkou_span_b,\n", " \"chikou_span\": Ich.chikou_span\n", " }, screen=StaticSids([0])\n", " )\n", "run_pipeline(make_pipeline(), start_time, end_time)" ] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:zipline-tej-client] *", "language": "python", "name": "conda-env-zipline-tej-client-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.13" } }, "nbformat": 4, "nbformat_minor": 5 }