Finding best parameters for moving average.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from yahoofinancials import YahooFinancials"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import bs4 as bs\n",
    "import pickle\n",
    "import requests\n",
    "\n",
    "def save_sp500_tickers():\n",
    "    resp = requests.get('http://en.wikipedia.org/wiki/List_of_S%26P_500_companies')\n",
    "    soup = bs.BeautifulSoup(resp.text, 'lxml')\n",
    "    table = soup.find('table', {'class': 'wikitable sortable'})\n",
    "    tickers = []\n",
    "    for row in table.findAll('tr')[1:]:\n",
    "        ticker = row.findAll('td')[0].text\n",
    "        tickers.append(ticker)\n",
    "        \n",
    "    with open(\"sp500tickers.pickle\",\"wb\") as f:\n",
    "        pickle.dump(tickers,f)\n",
    "        \n",
    "    return tickers\n",
    "\n",
    "#save_sp500_tickers()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def download_csv_data(ticker, start_date, end_date, freq, path):\n",
    "    \n",
    "    yahoo_financials = YahooFinancials(ticker)\n",
    "\n",
    "    df = yahoo_financials.get_historical_price_data(start_date, end_date, freq)\n",
    "    df = pd.DataFrame(df[ticker]['prices']).drop(['date'], axis=1) \\\n",
    "            .rename(columns={'formatted_date':'date'}) \\\n",
    "            .loc[:, ['date','open','high','low','close','volume']] \\\n",
    "            .set_index('date')\n",
    "    df.index = pd.to_datetime(df.index)\n",
    "    df['dividend'] = 0\n",
    "    df['split'] = 1\n",
    "\n",
    "    # save data to csv for later ingestion\n",
    "    df.to_csv(path, header=True, index=True)\n",
    "\n",
    "    # plot the time series\n",
    "    df.close.plot(title='{} prices --- {}:{}'.format(ticker, start_date, end_date));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tickers=['AAPL', 'SPY']\n",
    "\n",
    "for ticker in tickers:\n",
    "    download_csv_data(ticker=ticker, \n",
    "                      start_date='2017-01-01', \n",
    "                      end_date='2017-12-31', \n",
    "                      freq='daily', \n",
    "                      path='european/daily/'+ticker.strip(' .^')+'.csv')\n",
    "    df=None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from zipline.data import bundles\n",
    "from zipline.data.bundles.csvdir import csvdir_equities\n",
    "import os\n",
    "\n",
    "start_session = pd.Timestamp('2017-01-03', tz='utc')\n",
    "end_session = pd.Timestamp('2017-12-29', tz='utc')\n",
    "\n",
    "os.environ['ZIPLINE_ROOT'] = os.path.join(os.getcwd(),'european')\n",
    "# Create an ingest function \n",
    "ingest_func = csvdir_equities(['daily'], os.environ['ZIPLINE_ROOT'])\n",
    "\n",
    "# Register the data bundle and its ingest function\n",
    "bundles.register('eu_stocks', ingest_func, \n",
    "                 calendar_name='NYSE',  # Euronext Amsterdam\n",
    "                start_session=start_session,\n",
    "                end_session=end_session);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " | AAPL: sid 0\n",
      " | SPY: sid 1\n"
     ]
    }
   ],
   "source": [
    "bundles.ingest('eu_stocks')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "bundle_data = bundles.load('eu_stocks')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Algorithm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#: NOTICE HOW THIS IS OUTSIDE INITIALIZE, BECAUSE IT IS, WE CAN REDEFINE IT EVERYTIME WE REDINE INITIALIZE\n",
    "\n",
    "\n",
    "from zipline.api import *\n",
    "short_mavg_days = 20\n",
    "long_mavg_days = 50\n",
    "\n",
    "def initialize(context):\n",
    "    context.aapl = symbol('AAPL')\n",
    "    context.spy = symbol('SPY')\n",
    "    \n",
    "    # Set context parameters based on global parameters \n",
    "    context.short_mavg_days = short_mavg_days\n",
    "    context.long_mavg_days = long_mavg_days\n",
    "    \n",
    "    # Register 2 histories that track daily prices,\n",
    "    # one with a short window and one with a long window\n",
    "\n",
    "    # Used to warm-up moving averages\n",
    "    context.i = 0\n",
    "    \n",
    "def handle_data(context, data):\n",
    "    \n",
    "    # Skip days to get full windows\n",
    "    context.i += 1\n",
    "    if context.i < context.long_mavg_days:\n",
    "        return\n",
    "    \n",
    "    # Compute averages\n",
    "    # history() has to be called with the same params\n",
    "    # from above and returns a pandas dataframe.\n",
    "    short_mavg = data.history(context.aapl, 'price', bar_count=5, frequency=\"1d\").mean()\n",
    "    long_mavg = data.history(context.aapl, 'price', bar_count=10, frequency=\"1d\").mean()\n",
    "\n",
    "    #sym = symbol('AAPL')\n",
    "\n",
    "    # Trading logic\n",
    "    if short_mavg > long_mavg:\n",
    "        # order_target orders as many shares as needed to\n",
    "        # achieve the desired number of shares.\n",
    "        #print(1)\n",
    "        order_target_percent(context.aapl, 1)\n",
    "    elif short_mavg < long_mavg:\n",
    "        order_target_percent(context.aapl, 0)\n"
   ]
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     "text": [
      "/Users/cnakhare/opt/anaconda3/envs/env_zipline/lib/python3.5/site-packages/empyrical/stats.py:790: RuntimeWarning: invalid value encountered in true_divide\n",
      "  np.divide(average_annual_return, annualized_downside_risk, out=out)\n",
      "/Users/cnakhare/opt/anaconda3/envs/env_zipline/lib/python3.5/site-packages/empyrical/stats.py:704: RuntimeWarning: invalid value encountered in true_divide\n",
      "  out=out,\n"
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       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>19</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-27 16:30:00+00:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>20</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-30 16:30:00+00:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>21</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-31 16:30:00+00:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>22</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-02-01 16:30:00+00:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>23</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-02-02 16:30:00+00:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>24</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-02-03 16:30:00+00:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>25</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-02-06 16:30:00+00:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>26</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-02-07 16:30:00+00:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>27</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-02-08 16:30:00+00:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>28</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-02-09 16:30:00+00:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>29</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-02-10 16:30:00+00:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>30</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-16 16:30:00+00:00</th>\n",
       "      <td>0.139664</td>\n",
       "      <td>0.139556</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>114065.971150</td>\n",
       "      <td>113955.593203</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.645668</td>\n",
       "      <td>-110.377947</td>\n",
       "      <td>112776.360</td>\n",
       "      <td>112776.360</td>\n",
       "      <td>226</td>\n",
       "      <td>[{'sid': Equity(0 [AAPL]), 'commission': None,...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-17 16:30:00+00:00</th>\n",
       "      <td>0.139356</td>\n",
       "      <td>0.139556</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>113955.593203</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.642039</td>\n",
       "      <td>113955.593203</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>227</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-20 16:30:00+00:00</th>\n",
       "      <td>0.139050</td>\n",
       "      <td>0.139556</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>113955.593203</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.638434</td>\n",
       "      <td>113955.593203</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>228</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-21 16:30:00+00:00</th>\n",
       "      <td>0.138747</td>\n",
       "      <td>0.139556</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>113955.593203</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.634853</td>\n",
       "      <td>113955.593203</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>229</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-22 16:30:00+00:00</th>\n",
       "      <td>0.138445</td>\n",
       "      <td>0.139556</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>113955.593203</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.631295</td>\n",
       "      <td>113955.593203</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>230</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-23 16:30:00+00:00</th>\n",
       "      <td>0.138145</td>\n",
       "      <td>0.139556</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>113955.593203</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.627760</td>\n",
       "      <td>113955.593203</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>231</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-24 16:30:00+00:00</th>\n",
       "      <td>0.137850</td>\n",
       "      <td>0.138980</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>-113963.073735</td>\n",
       "      <td>-7.480532</td>\n",
       "      <td>113905.470</td>\n",
       "      <td>113905.470</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.618332</td>\n",
       "      <td>113955.593203</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>232</td>\n",
       "      <td>[{'sid': Equity(0 [AAPL]), 'commission': None,...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-27 16:30:00+00:00</th>\n",
       "      <td>0.137678</td>\n",
       "      <td>0.133245</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-7.480532</td>\n",
       "      <td>113331.939</td>\n",
       "      <td>113331.939</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.553844</td>\n",
       "      <td>-7.480532</td>\n",
       "      <td>113905.470</td>\n",
       "      <td>113905.470</td>\n",
       "      <td>233</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-28 16:30:00+00:00</th>\n",
       "      <td>0.137544</td>\n",
       "      <td>0.126611</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-7.480532</td>\n",
       "      <td>112668.570</td>\n",
       "      <td>112668.570</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.479553</td>\n",
       "      <td>-7.480532</td>\n",
       "      <td>113331.939</td>\n",
       "      <td>113331.939</td>\n",
       "      <td>234</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-29 16:30:00+00:00</th>\n",
       "      <td>0.139010</td>\n",
       "      <td>0.103233</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-7.480532</td>\n",
       "      <td>110330.829</td>\n",
       "      <td>110330.829</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.205267</td>\n",
       "      <td>-7.480532</td>\n",
       "      <td>112668.570</td>\n",
       "      <td>112668.570</td>\n",
       "      <td>235</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-30 16:30:00+00:00</th>\n",
       "      <td>0.139417</td>\n",
       "      <td>0.118669</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-7.480532</td>\n",
       "      <td>111874.350</td>\n",
       "      <td>111874.350</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.359618</td>\n",
       "      <td>-7.480532</td>\n",
       "      <td>110330.829</td>\n",
       "      <td>110330.829</td>\n",
       "      <td>236</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-01 16:30:00+00:00</th>\n",
       "      <td>0.139224</td>\n",
       "      <td>0.113461</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-7.480532</td>\n",
       "      <td>111353.550</td>\n",
       "      <td>111353.550</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.302983</td>\n",
       "      <td>-7.480532</td>\n",
       "      <td>111874.350</td>\n",
       "      <td>111874.350</td>\n",
       "      <td>237</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-04 16:30:00+00:00</th>\n",
       "      <td>0.139192</td>\n",
       "      <td>0.104764</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>110483.879100</td>\n",
       "      <td>110476.398568</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.208804</td>\n",
       "      <td>-7.480532</td>\n",
       "      <td>111353.550</td>\n",
       "      <td>111353.550</td>\n",
       "      <td>238</td>\n",
       "      <td>[{'sid': Equity(0 [AAPL]), 'commission': None,...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-05 16:30:00+00:00</th>\n",
       "      <td>0.138900</td>\n",
       "      <td>0.104764</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>110476.398568</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.206272</td>\n",
       "      <td>110476.398568</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>239</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-06 16:30:00+00:00</th>\n",
       "      <td>0.138610</td>\n",
       "      <td>0.104764</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>110476.398568</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.203757</td>\n",
       "      <td>110476.398568</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>240</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-07 16:30:00+00:00</th>\n",
       "      <td>0.138322</td>\n",
       "      <td>0.104764</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>110476.398568</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.201257</td>\n",
       "      <td>110476.398568</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>241</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-08 16:30:00+00:00</th>\n",
       "      <td>0.138035</td>\n",
       "      <td>0.104764</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>110476.398568</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.198772</td>\n",
       "      <td>110476.398568</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>242</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-11 16:30:00+00:00</th>\n",
       "      <td>0.137751</td>\n",
       "      <td>0.104764</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>110476.398568</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.196303</td>\n",
       "      <td>110476.398568</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>243</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-12 16:30:00+00:00</th>\n",
       "      <td>0.137468</td>\n",
       "      <td>0.104764</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>110476.398568</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.193849</td>\n",
       "      <td>110476.398568</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>244</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-13 16:30:00+00:00</th>\n",
       "      <td>0.137189</td>\n",
       "      <td>0.104204</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>-110825.637805</td>\n",
       "      <td>-349.239237</td>\n",
       "      <td>110769.610</td>\n",
       "      <td>110769.610</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.185837</td>\n",
       "      <td>110476.398568</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>245</td>\n",
       "      <td>[{'sid': Equity(0 [AAPL]), 'commission': None,...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-14 16:30:00+00:00</th>\n",
       "      <td>0.136911</td>\n",
       "      <td>0.103880</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>344.265780</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>110393.020</td>\n",
       "      <td>110393.020</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.180218</td>\n",
       "      <td>-349.239237</td>\n",
       "      <td>110769.610</td>\n",
       "      <td>110769.610</td>\n",
       "      <td>246</td>\n",
       "      <td>[{'sid': Equity(0 [AAPL]), 'commission': None,...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-15 16:30:00+00:00</th>\n",
       "      <td>0.136985</td>\n",
       "      <td>0.115098</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>111514.770</td>\n",
       "      <td>111514.770</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.288685</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>110393.020</td>\n",
       "      <td>110393.020</td>\n",
       "      <td>247</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-18 16:30:00+00:00</th>\n",
       "      <td>0.137393</td>\n",
       "      <td>0.130796</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>113084.579</td>\n",
       "      <td>113084.579</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.439352</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>111514.770</td>\n",
       "      <td>111514.770</td>\n",
       "      <td>248</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-19 16:30:00+00:00</th>\n",
       "      <td>0.137577</td>\n",
       "      <td>0.118745</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>111879.499</td>\n",
       "      <td>111879.499</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.312006</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>113084.579</td>\n",
       "      <td>113084.579</td>\n",
       "      <td>249</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-20 16:30:00+00:00</th>\n",
       "      <td>0.137309</td>\n",
       "      <td>0.117534</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>111758.350</td>\n",
       "      <td>111758.350</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.297626</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>111879.499</td>\n",
       "      <td>111879.499</td>\n",
       "      <td>250</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-21 16:30:00+00:00</th>\n",
       "      <td>0.137074</td>\n",
       "      <td>0.121758</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>112180.769</td>\n",
       "      <td>112180.769</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.335674</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>111758.350</td>\n",
       "      <td>111758.350</td>\n",
       "      <td>251</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-22 16:30:00+00:00</th>\n",
       "      <td>0.136802</td>\n",
       "      <td>0.121758</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>112180.769</td>\n",
       "      <td>112180.769</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.333021</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>112180.769</td>\n",
       "      <td>112180.769</td>\n",
       "      <td>252</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-27 16:30:00+00:00</th>\n",
       "      <td>0.138916</td>\n",
       "      <td>0.093496</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>109354.600</td>\n",
       "      <td>109354.600</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.023869</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>112180.769</td>\n",
       "      <td>112180.769</td>\n",
       "      <td>253</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-28 16:30:00+00:00</th>\n",
       "      <td>0.138662</td>\n",
       "      <td>0.096573</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>109662.280</td>\n",
       "      <td>109662.280</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.050879</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>109354.600</td>\n",
       "      <td>109354.600</td>\n",
       "      <td>254</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-29 16:30:00+00:00</th>\n",
       "      <td>0.138879</td>\n",
       "      <td>0.084159</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>108420.910106</td>\n",
       "      <td>108415.936649</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.925917</td>\n",
       "      <td>-4.973457</td>\n",
       "      <td>109662.280</td>\n",
       "      <td>109662.280</td>\n",
       "      <td>255</td>\n",
       "      <td>[{'sid': Equity(0 [AAPL]), 'commission': None,...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>255 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           algo_volatility  algorithm_period_return alpha  \\\n",
       "2017-01-02 16:30:00+00:00              NaN                 0.000000  None   \n",
       "2017-01-03 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-04 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-05 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-06 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-09 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-10 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-11 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-12 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-13 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-16 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-17 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-18 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-19 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-20 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-23 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-24 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-25 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-26 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-27 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-30 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-01-31 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-02-01 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-02-02 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-02-03 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-02-06 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-02-07 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-02-08 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-02-09 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "2017-02-10 16:30:00+00:00         0.000000                 0.000000  None   \n",
       "...                                    ...                      ...   ...   \n",
       "2017-11-16 16:30:00+00:00         0.139664                 0.139556  None   \n",
       "2017-11-17 16:30:00+00:00         0.139356                 0.139556  None   \n",
       "2017-11-20 16:30:00+00:00         0.139050                 0.139556  None   \n",
       "2017-11-21 16:30:00+00:00         0.138747                 0.139556  None   \n",
       "2017-11-22 16:30:00+00:00         0.138445                 0.139556  None   \n",
       "2017-11-23 16:30:00+00:00         0.138145                 0.139556  None   \n",
       "2017-11-24 16:30:00+00:00         0.137850                 0.138980  None   \n",
       "2017-11-27 16:30:00+00:00         0.137678                 0.133245  None   \n",
       "2017-11-28 16:30:00+00:00         0.137544                 0.126611  None   \n",
       "2017-11-29 16:30:00+00:00         0.139010                 0.103233  None   \n",
       "2017-11-30 16:30:00+00:00         0.139417                 0.118669  None   \n",
       "2017-12-01 16:30:00+00:00         0.139224                 0.113461  None   \n",
       "2017-12-04 16:30:00+00:00         0.139192                 0.104764  None   \n",
       "2017-12-05 16:30:00+00:00         0.138900                 0.104764  None   \n",
       "2017-12-06 16:30:00+00:00         0.138610                 0.104764  None   \n",
       "2017-12-07 16:30:00+00:00         0.138322                 0.104764  None   \n",
       "2017-12-08 16:30:00+00:00         0.138035                 0.104764  None   \n",
       "2017-12-11 16:30:00+00:00         0.137751                 0.104764  None   \n",
       "2017-12-12 16:30:00+00:00         0.137468                 0.104764  None   \n",
       "2017-12-13 16:30:00+00:00         0.137189                 0.104204  None   \n",
       "2017-12-14 16:30:00+00:00         0.136911                 0.103880  None   \n",
       "2017-12-15 16:30:00+00:00         0.136985                 0.115098  None   \n",
       "2017-12-18 16:30:00+00:00         0.137393                 0.130796  None   \n",
       "2017-12-19 16:30:00+00:00         0.137577                 0.118745  None   \n",
       "2017-12-20 16:30:00+00:00         0.137309                 0.117534  None   \n",
       "2017-12-21 16:30:00+00:00         0.137074                 0.121758  None   \n",
       "2017-12-22 16:30:00+00:00         0.136802                 0.121758  None   \n",
       "2017-12-27 16:30:00+00:00         0.138916                 0.093496  None   \n",
       "2017-12-28 16:30:00+00:00         0.138662                 0.096573  None   \n",
       "2017-12-29 16:30:00+00:00         0.138879                 0.084159  None   \n",
       "\n",
       "                           benchmark_period_return  benchmark_volatility  \\\n",
       "2017-01-02 16:30:00+00:00                      0.0                   NaN   \n",
       "2017-01-03 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-04 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-05 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-06 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-09 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-10 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-11 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-12 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-13 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-16 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-17 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-18 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-19 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-20 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-23 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-24 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-25 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-26 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-27 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-30 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-01-31 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-02-01 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-02-02 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-02-03 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-02-06 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-02-07 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-02-08 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-02-09 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-02-10 16:30:00+00:00                      0.0                   0.0   \n",
       "...                                            ...                   ...   \n",
       "2017-11-16 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-11-17 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-11-20 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-11-21 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-11-22 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-11-23 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-11-24 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-11-27 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-11-28 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-11-29 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-11-30 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-01 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-04 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-05 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-06 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-07 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-08 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-11 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-12 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-13 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-14 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-15 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-18 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-19 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-20 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-21 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-22 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-27 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-28 16:30:00+00:00                      0.0                   0.0   \n",
       "2017-12-29 16:30:00+00:00                      0.0                   0.0   \n",
       "\n",
       "                           beta   capital_used    ending_cash  \\\n",
       "2017-01-02 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-03 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-04 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-05 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-06 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-09 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-10 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-11 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-12 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-13 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-16 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-17 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-18 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-19 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-20 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-23 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-24 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-25 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-26 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-27 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-30 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-01-31 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-02-01 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-02-02 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-02-03 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-02-06 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-02-07 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-02-08 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-02-09 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "2017-02-10 16:30:00+00:00  None       0.000000  100000.000000   \n",
       "...                         ...            ...            ...   \n",
       "2017-11-16 16:30:00+00:00  None  114065.971150  113955.593203   \n",
       "2017-11-17 16:30:00+00:00  None       0.000000  113955.593203   \n",
       "2017-11-20 16:30:00+00:00  None       0.000000  113955.593203   \n",
       "2017-11-21 16:30:00+00:00  None       0.000000  113955.593203   \n",
       "2017-11-22 16:30:00+00:00  None       0.000000  113955.593203   \n",
       "2017-11-23 16:30:00+00:00  None       0.000000  113955.593203   \n",
       "2017-11-24 16:30:00+00:00  None -113963.073735      -7.480532   \n",
       "2017-11-27 16:30:00+00:00  None       0.000000      -7.480532   \n",
       "2017-11-28 16:30:00+00:00  None       0.000000      -7.480532   \n",
       "2017-11-29 16:30:00+00:00  None       0.000000      -7.480532   \n",
       "2017-11-30 16:30:00+00:00  None       0.000000      -7.480532   \n",
       "2017-12-01 16:30:00+00:00  None       0.000000      -7.480532   \n",
       "2017-12-04 16:30:00+00:00  None  110483.879100  110476.398568   \n",
       "2017-12-05 16:30:00+00:00  None       0.000000  110476.398568   \n",
       "2017-12-06 16:30:00+00:00  None       0.000000  110476.398568   \n",
       "2017-12-07 16:30:00+00:00  None       0.000000  110476.398568   \n",
       "2017-12-08 16:30:00+00:00  None       0.000000  110476.398568   \n",
       "2017-12-11 16:30:00+00:00  None       0.000000  110476.398568   \n",
       "2017-12-12 16:30:00+00:00  None       0.000000  110476.398568   \n",
       "2017-12-13 16:30:00+00:00  None -110825.637805    -349.239237   \n",
       "2017-12-14 16:30:00+00:00  None     344.265780      -4.973457   \n",
       "2017-12-15 16:30:00+00:00  None       0.000000      -4.973457   \n",
       "2017-12-18 16:30:00+00:00  None       0.000000      -4.973457   \n",
       "2017-12-19 16:30:00+00:00  None       0.000000      -4.973457   \n",
       "2017-12-20 16:30:00+00:00  None       0.000000      -4.973457   \n",
       "2017-12-21 16:30:00+00:00  None       0.000000      -4.973457   \n",
       "2017-12-22 16:30:00+00:00  None       0.000000      -4.973457   \n",
       "2017-12-27 16:30:00+00:00  None       0.000000      -4.973457   \n",
       "2017-12-28 16:30:00+00:00  None       0.000000      -4.973457   \n",
       "2017-12-29 16:30:00+00:00  None  108420.910106  108415.936649   \n",
       "\n",
       "                           ending_exposure  ending_value  \\\n",
       "2017-01-02 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-03 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-04 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-05 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-06 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-09 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-10 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-11 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-12 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-13 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-16 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-17 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-18 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-19 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-20 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-23 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-24 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-25 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-26 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-27 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-30 16:30:00+00:00            0.000         0.000   \n",
       "2017-01-31 16:30:00+00:00            0.000         0.000   \n",
       "2017-02-01 16:30:00+00:00            0.000         0.000   \n",
       "2017-02-02 16:30:00+00:00            0.000         0.000   \n",
       "2017-02-03 16:30:00+00:00            0.000         0.000   \n",
       "2017-02-06 16:30:00+00:00            0.000         0.000   \n",
       "2017-02-07 16:30:00+00:00            0.000         0.000   \n",
       "2017-02-08 16:30:00+00:00            0.000         0.000   \n",
       "2017-02-09 16:30:00+00:00            0.000         0.000   \n",
       "2017-02-10 16:30:00+00:00            0.000         0.000   \n",
       "...                                    ...           ...   \n",
       "2017-11-16 16:30:00+00:00            0.000         0.000   \n",
       "2017-11-17 16:30:00+00:00            0.000         0.000   \n",
       "2017-11-20 16:30:00+00:00            0.000         0.000   \n",
       "2017-11-21 16:30:00+00:00            0.000         0.000   \n",
       "2017-11-22 16:30:00+00:00            0.000         0.000   \n",
       "2017-11-23 16:30:00+00:00            0.000         0.000   \n",
       "2017-11-24 16:30:00+00:00       113905.470    113905.470   \n",
       "2017-11-27 16:30:00+00:00       113331.939    113331.939   \n",
       "2017-11-28 16:30:00+00:00       112668.570    112668.570   \n",
       "2017-11-29 16:30:00+00:00       110330.829    110330.829   \n",
       "2017-11-30 16:30:00+00:00       111874.350    111874.350   \n",
       "2017-12-01 16:30:00+00:00       111353.550    111353.550   \n",
       "2017-12-04 16:30:00+00:00            0.000         0.000   \n",
       "2017-12-05 16:30:00+00:00            0.000         0.000   \n",
       "2017-12-06 16:30:00+00:00            0.000         0.000   \n",
       "2017-12-07 16:30:00+00:00            0.000         0.000   \n",
       "2017-12-08 16:30:00+00:00            0.000         0.000   \n",
       "2017-12-11 16:30:00+00:00            0.000         0.000   \n",
       "2017-12-12 16:30:00+00:00            0.000         0.000   \n",
       "2017-12-13 16:30:00+00:00       110769.610    110769.610   \n",
       "2017-12-14 16:30:00+00:00       110393.020    110393.020   \n",
       "2017-12-15 16:30:00+00:00       111514.770    111514.770   \n",
       "2017-12-18 16:30:00+00:00       113084.579    113084.579   \n",
       "2017-12-19 16:30:00+00:00       111879.499    111879.499   \n",
       "2017-12-20 16:30:00+00:00       111758.350    111758.350   \n",
       "2017-12-21 16:30:00+00:00       112180.769    112180.769   \n",
       "2017-12-22 16:30:00+00:00       112180.769    112180.769   \n",
       "2017-12-27 16:30:00+00:00       109354.600    109354.600   \n",
       "2017-12-28 16:30:00+00:00       109662.280    109662.280   \n",
       "2017-12-29 16:30:00+00:00            0.000         0.000   \n",
       "\n",
       "                                   ...            short_exposure  short_value  \\\n",
       "2017-01-02 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-03 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-04 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-05 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-06 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-09 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-10 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-11 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-12 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-13 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-16 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-17 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-18 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-19 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-20 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-23 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-24 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-25 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-26 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-27 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-30 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-01-31 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-02-01 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-02-02 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-02-03 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-02-06 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-02-07 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-02-08 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-02-09 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-02-10 16:30:00+00:00          ...                       0.0          0.0   \n",
       "...                                ...                       ...          ...   \n",
       "2017-11-16 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-11-17 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-11-20 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-11-21 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-11-22 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-11-23 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-11-24 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-11-27 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-11-28 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-11-29 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-11-30 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-01 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-04 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-05 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-06 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-07 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-08 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-11 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-12 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-13 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-14 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-15 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-18 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-19 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-20 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-21 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-22 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-27 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-28 16:30:00+00:00          ...                       0.0          0.0   \n",
       "2017-12-29 16:30:00+00:00          ...                       0.0          0.0   \n",
       "\n",
       "                           shorts_count   sortino  starting_cash  \\\n",
       "2017-01-02 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-03 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-04 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-05 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-06 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-09 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-10 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-11 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-12 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-13 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-16 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-17 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-18 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-19 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-20 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-23 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-24 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-25 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-26 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-27 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-30 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-01-31 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-02-01 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-02-02 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-02-03 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-02-06 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-02-07 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-02-08 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-02-09 16:30:00+00:00             0       NaN  100000.000000   \n",
       "2017-02-10 16:30:00+00:00             0       NaN  100000.000000   \n",
       "...                                 ...       ...            ...   \n",
       "2017-11-16 16:30:00+00:00             0  1.645668    -110.377947   \n",
       "2017-11-17 16:30:00+00:00             0  1.642039  113955.593203   \n",
       "2017-11-20 16:30:00+00:00             0  1.638434  113955.593203   \n",
       "2017-11-21 16:30:00+00:00             0  1.634853  113955.593203   \n",
       "2017-11-22 16:30:00+00:00             0  1.631295  113955.593203   \n",
       "2017-11-23 16:30:00+00:00             0  1.627760  113955.593203   \n",
       "2017-11-24 16:30:00+00:00             0  1.618332  113955.593203   \n",
       "2017-11-27 16:30:00+00:00             0  1.553844      -7.480532   \n",
       "2017-11-28 16:30:00+00:00             0  1.479553      -7.480532   \n",
       "2017-11-29 16:30:00+00:00             0  1.205267      -7.480532   \n",
       "2017-11-30 16:30:00+00:00             0  1.359618      -7.480532   \n",
       "2017-12-01 16:30:00+00:00             0  1.302983      -7.480532   \n",
       "2017-12-04 16:30:00+00:00             0  1.208804      -7.480532   \n",
       "2017-12-05 16:30:00+00:00             0  1.206272  110476.398568   \n",
       "2017-12-06 16:30:00+00:00             0  1.203757  110476.398568   \n",
       "2017-12-07 16:30:00+00:00             0  1.201257  110476.398568   \n",
       "2017-12-08 16:30:00+00:00             0  1.198772  110476.398568   \n",
       "2017-12-11 16:30:00+00:00             0  1.196303  110476.398568   \n",
       "2017-12-12 16:30:00+00:00             0  1.193849  110476.398568   \n",
       "2017-12-13 16:30:00+00:00             0  1.185837  110476.398568   \n",
       "2017-12-14 16:30:00+00:00             0  1.180218    -349.239237   \n",
       "2017-12-15 16:30:00+00:00             0  1.288685      -4.973457   \n",
       "2017-12-18 16:30:00+00:00             0  1.439352      -4.973457   \n",
       "2017-12-19 16:30:00+00:00             0  1.312006      -4.973457   \n",
       "2017-12-20 16:30:00+00:00             0  1.297626      -4.973457   \n",
       "2017-12-21 16:30:00+00:00             0  1.335674      -4.973457   \n",
       "2017-12-22 16:30:00+00:00             0  1.333021      -4.973457   \n",
       "2017-12-27 16:30:00+00:00             0  1.023869      -4.973457   \n",
       "2017-12-28 16:30:00+00:00             0  1.050879      -4.973457   \n",
       "2017-12-29 16:30:00+00:00             0  0.925917      -4.973457   \n",
       "\n",
       "                           starting_exposure  starting_value  trading_days  \\\n",
       "2017-01-02 16:30:00+00:00              0.000           0.000             1   \n",
       "2017-01-03 16:30:00+00:00              0.000           0.000             2   \n",
       "2017-01-04 16:30:00+00:00              0.000           0.000             3   \n",
       "2017-01-05 16:30:00+00:00              0.000           0.000             4   \n",
       "2017-01-06 16:30:00+00:00              0.000           0.000             5   \n",
       "2017-01-09 16:30:00+00:00              0.000           0.000             6   \n",
       "2017-01-10 16:30:00+00:00              0.000           0.000             7   \n",
       "2017-01-11 16:30:00+00:00              0.000           0.000             8   \n",
       "2017-01-12 16:30:00+00:00              0.000           0.000             9   \n",
       "2017-01-13 16:30:00+00:00              0.000           0.000            10   \n",
       "2017-01-16 16:30:00+00:00              0.000           0.000            11   \n",
       "2017-01-17 16:30:00+00:00              0.000           0.000            12   \n",
       "2017-01-18 16:30:00+00:00              0.000           0.000            13   \n",
       "2017-01-19 16:30:00+00:00              0.000           0.000            14   \n",
       "2017-01-20 16:30:00+00:00              0.000           0.000            15   \n",
       "2017-01-23 16:30:00+00:00              0.000           0.000            16   \n",
       "2017-01-24 16:30:00+00:00              0.000           0.000            17   \n",
       "2017-01-25 16:30:00+00:00              0.000           0.000            18   \n",
       "2017-01-26 16:30:00+00:00              0.000           0.000            19   \n",
       "2017-01-27 16:30:00+00:00              0.000           0.000            20   \n",
       "2017-01-30 16:30:00+00:00              0.000           0.000            21   \n",
       "2017-01-31 16:30:00+00:00              0.000           0.000            22   \n",
       "2017-02-01 16:30:00+00:00              0.000           0.000            23   \n",
       "2017-02-02 16:30:00+00:00              0.000           0.000            24   \n",
       "2017-02-03 16:30:00+00:00              0.000           0.000            25   \n",
       "2017-02-06 16:30:00+00:00              0.000           0.000            26   \n",
       "2017-02-07 16:30:00+00:00              0.000           0.000            27   \n",
       "2017-02-08 16:30:00+00:00              0.000           0.000            28   \n",
       "2017-02-09 16:30:00+00:00              0.000           0.000            29   \n",
       "2017-02-10 16:30:00+00:00              0.000           0.000            30   \n",
       "...                                      ...             ...           ...   \n",
       "2017-11-16 16:30:00+00:00         112776.360      112776.360           226   \n",
       "2017-11-17 16:30:00+00:00              0.000           0.000           227   \n",
       "2017-11-20 16:30:00+00:00              0.000           0.000           228   \n",
       "2017-11-21 16:30:00+00:00              0.000           0.000           229   \n",
       "2017-11-22 16:30:00+00:00              0.000           0.000           230   \n",
       "2017-11-23 16:30:00+00:00              0.000           0.000           231   \n",
       "2017-11-24 16:30:00+00:00              0.000           0.000           232   \n",
       "2017-11-27 16:30:00+00:00         113905.470      113905.470           233   \n",
       "2017-11-28 16:30:00+00:00         113331.939      113331.939           234   \n",
       "2017-11-29 16:30:00+00:00         112668.570      112668.570           235   \n",
       "2017-11-30 16:30:00+00:00         110330.829      110330.829           236   \n",
       "2017-12-01 16:30:00+00:00         111874.350      111874.350           237   \n",
       "2017-12-04 16:30:00+00:00         111353.550      111353.550           238   \n",
       "2017-12-05 16:30:00+00:00              0.000           0.000           239   \n",
       "2017-12-06 16:30:00+00:00              0.000           0.000           240   \n",
       "2017-12-07 16:30:00+00:00              0.000           0.000           241   \n",
       "2017-12-08 16:30:00+00:00              0.000           0.000           242   \n",
       "2017-12-11 16:30:00+00:00              0.000           0.000           243   \n",
       "2017-12-12 16:30:00+00:00              0.000           0.000           244   \n",
       "2017-12-13 16:30:00+00:00              0.000           0.000           245   \n",
       "2017-12-14 16:30:00+00:00         110769.610      110769.610           246   \n",
       "2017-12-15 16:30:00+00:00         110393.020      110393.020           247   \n",
       "2017-12-18 16:30:00+00:00         111514.770      111514.770           248   \n",
       "2017-12-19 16:30:00+00:00         113084.579      113084.579           249   \n",
       "2017-12-20 16:30:00+00:00         111879.499      111879.499           250   \n",
       "2017-12-21 16:30:00+00:00         111758.350      111758.350           251   \n",
       "2017-12-22 16:30:00+00:00         112180.769      112180.769           252   \n",
       "2017-12-27 16:30:00+00:00         112180.769      112180.769           253   \n",
       "2017-12-28 16:30:00+00:00         109354.600      109354.600           254   \n",
       "2017-12-29 16:30:00+00:00         109662.280      109662.280           255   \n",
       "\n",
       "                                                                transactions  \\\n",
       "2017-01-02 16:30:00+00:00                                                 []   \n",
       "2017-01-03 16:30:00+00:00                                                 []   \n",
       "2017-01-04 16:30:00+00:00                                                 []   \n",
       "2017-01-05 16:30:00+00:00                                                 []   \n",
       "2017-01-06 16:30:00+00:00                                                 []   \n",
       "2017-01-09 16:30:00+00:00                                                 []   \n",
       "2017-01-10 16:30:00+00:00                                                 []   \n",
       "2017-01-11 16:30:00+00:00                                                 []   \n",
       "2017-01-12 16:30:00+00:00                                                 []   \n",
       "2017-01-13 16:30:00+00:00                                                 []   \n",
       "2017-01-16 16:30:00+00:00                                                 []   \n",
       "2017-01-17 16:30:00+00:00                                                 []   \n",
       "2017-01-18 16:30:00+00:00                                                 []   \n",
       "2017-01-19 16:30:00+00:00                                                 []   \n",
       "2017-01-20 16:30:00+00:00                                                 []   \n",
       "2017-01-23 16:30:00+00:00                                                 []   \n",
       "2017-01-24 16:30:00+00:00                                                 []   \n",
       "2017-01-25 16:30:00+00:00                                                 []   \n",
       "2017-01-26 16:30:00+00:00                                                 []   \n",
       "2017-01-27 16:30:00+00:00                                                 []   \n",
       "2017-01-30 16:30:00+00:00                                                 []   \n",
       "2017-01-31 16:30:00+00:00                                                 []   \n",
       "2017-02-01 16:30:00+00:00                                                 []   \n",
       "2017-02-02 16:30:00+00:00                                                 []   \n",
       "2017-02-03 16:30:00+00:00                                                 []   \n",
       "2017-02-06 16:30:00+00:00                                                 []   \n",
       "2017-02-07 16:30:00+00:00                                                 []   \n",
       "2017-02-08 16:30:00+00:00                                                 []   \n",
       "2017-02-09 16:30:00+00:00                                                 []   \n",
       "2017-02-10 16:30:00+00:00                                                 []   \n",
       "...                                                                      ...   \n",
       "2017-11-16 16:30:00+00:00  [{'sid': Equity(0 [AAPL]), 'commission': None,...   \n",
       "2017-11-17 16:30:00+00:00                                                 []   \n",
       "2017-11-20 16:30:00+00:00                                                 []   \n",
       "2017-11-21 16:30:00+00:00                                                 []   \n",
       "2017-11-22 16:30:00+00:00                                                 []   \n",
       "2017-11-23 16:30:00+00:00                                                 []   \n",
       "2017-11-24 16:30:00+00:00  [{'sid': Equity(0 [AAPL]), 'commission': None,...   \n",
       "2017-11-27 16:30:00+00:00                                                 []   \n",
       "2017-11-28 16:30:00+00:00                                                 []   \n",
       "2017-11-29 16:30:00+00:00                                                 []   \n",
       "2017-11-30 16:30:00+00:00                                                 []   \n",
       "2017-12-01 16:30:00+00:00                                                 []   \n",
       "2017-12-04 16:30:00+00:00  [{'sid': Equity(0 [AAPL]), 'commission': None,...   \n",
       "2017-12-05 16:30:00+00:00                                                 []   \n",
       "2017-12-06 16:30:00+00:00                                                 []   \n",
       "2017-12-07 16:30:00+00:00                                                 []   \n",
       "2017-12-08 16:30:00+00:00                                                 []   \n",
       "2017-12-11 16:30:00+00:00                                                 []   \n",
       "2017-12-12 16:30:00+00:00                                                 []   \n",
       "2017-12-13 16:30:00+00:00  [{'sid': Equity(0 [AAPL]), 'commission': None,...   \n",
       "2017-12-14 16:30:00+00:00  [{'sid': Equity(0 [AAPL]), 'commission': None,...   \n",
       "2017-12-15 16:30:00+00:00                                                 []   \n",
       "2017-12-18 16:30:00+00:00                                                 []   \n",
       "2017-12-19 16:30:00+00:00                                                 []   \n",
       "2017-12-20 16:30:00+00:00                                                 []   \n",
       "2017-12-21 16:30:00+00:00                                                 []   \n",
       "2017-12-22 16:30:00+00:00                                                 []   \n",
       "2017-12-27 16:30:00+00:00                                                 []   \n",
       "2017-12-28 16:30:00+00:00                                                 []   \n",
       "2017-12-29 16:30:00+00:00  [{'sid': Equity(0 [AAPL]), 'commission': None,...   \n",
       "\n",
       "                          treasury_period_return  \n",
       "2017-01-02 16:30:00+00:00                    0.0  \n",
       "2017-01-03 16:30:00+00:00                    0.0  \n",
       "2017-01-04 16:30:00+00:00                    0.0  \n",
       "2017-01-05 16:30:00+00:00                    0.0  \n",
       "2017-01-06 16:30:00+00:00                    0.0  \n",
       "2017-01-09 16:30:00+00:00                    0.0  \n",
       "2017-01-10 16:30:00+00:00                    0.0  \n",
       "2017-01-11 16:30:00+00:00                    0.0  \n",
       "2017-01-12 16:30:00+00:00                    0.0  \n",
       "2017-01-13 16:30:00+00:00                    0.0  \n",
       "2017-01-16 16:30:00+00:00                    0.0  \n",
       "2017-01-17 16:30:00+00:00                    0.0  \n",
       "2017-01-18 16:30:00+00:00                    0.0  \n",
       "2017-01-19 16:30:00+00:00                    0.0  \n",
       "2017-01-20 16:30:00+00:00                    0.0  \n",
       "2017-01-23 16:30:00+00:00                    0.0  \n",
       "2017-01-24 16:30:00+00:00                    0.0  \n",
       "2017-01-25 16:30:00+00:00                    0.0  \n",
       "2017-01-26 16:30:00+00:00                    0.0  \n",
       "2017-01-27 16:30:00+00:00                    0.0  \n",
       "2017-01-30 16:30:00+00:00                    0.0  \n",
       "2017-01-31 16:30:00+00:00                    0.0  \n",
       "2017-02-01 16:30:00+00:00                    0.0  \n",
       "2017-02-02 16:30:00+00:00                    0.0  \n",
       "2017-02-03 16:30:00+00:00                    0.0  \n",
       "2017-02-06 16:30:00+00:00                    0.0  \n",
       "2017-02-07 16:30:00+00:00                    0.0  \n",
       "2017-02-08 16:30:00+00:00                    0.0  \n",
       "2017-02-09 16:30:00+00:00                    0.0  \n",
       "2017-02-10 16:30:00+00:00                    0.0  \n",
       "...                                          ...  \n",
       "2017-11-16 16:30:00+00:00                    0.0  \n",
       "2017-11-17 16:30:00+00:00                    0.0  \n",
       "2017-11-20 16:30:00+00:00                    0.0  \n",
       "2017-11-21 16:30:00+00:00                    0.0  \n",
       "2017-11-22 16:30:00+00:00                    0.0  \n",
       "2017-11-23 16:30:00+00:00                    0.0  \n",
       "2017-11-24 16:30:00+00:00                    0.0  \n",
       "2017-11-27 16:30:00+00:00                    0.0  \n",
       "2017-11-28 16:30:00+00:00                    0.0  \n",
       "2017-11-29 16:30:00+00:00                    0.0  \n",
       "2017-11-30 16:30:00+00:00                    0.0  \n",
       "2017-12-01 16:30:00+00:00                    0.0  \n",
       "2017-12-04 16:30:00+00:00                    0.0  \n",
       "2017-12-05 16:30:00+00:00                    0.0  \n",
       "2017-12-06 16:30:00+00:00                    0.0  \n",
       "2017-12-07 16:30:00+00:00                    0.0  \n",
       "2017-12-08 16:30:00+00:00                    0.0  \n",
       "2017-12-11 16:30:00+00:00                    0.0  \n",
       "2017-12-12 16:30:00+00:00                    0.0  \n",
       "2017-12-13 16:30:00+00:00                    0.0  \n",
       "2017-12-14 16:30:00+00:00                    0.0  \n",
       "2017-12-15 16:30:00+00:00                    0.0  \n",
       "2017-12-18 16:30:00+00:00                    0.0  \n",
       "2017-12-19 16:30:00+00:00                    0.0  \n",
       "2017-12-20 16:30:00+00:00                    0.0  \n",
       "2017-12-21 16:30:00+00:00                    0.0  \n",
       "2017-12-22 16:30:00+00:00                    0.0  \n",
       "2017-12-27 16:30:00+00:00                    0.0  \n",
       "2017-12-28 16:30:00+00:00                    0.0  \n",
       "2017-12-29 16:30:00+00:00                    0.0  \n",
       "\n",
       "[255 rows x 37 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from datetime import datetime\n",
    "from trading_calendars import get_calendar\n",
    "import pytz\n",
    "import zipline\n",
    "perf = zipline.run_algorithm(start=datetime(2017, 1, 2, 0 , 0, 0, 0, pytz.utc),\n",
    "                      end=datetime(2017, 12, 29,0, 0, 0, 0, pytz.utc),\n",
    "                      initialize=initialize,\n",
    "                      capital_base=100000,\n",
    "                      handle_data=handle_data,\n",
    "                      bundle='eu_stocks',\n",
    "                      trading_calendar=get_calendar('NYSE'))\n",
    "perf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Sharpe ratio is 0.644302\n"
     ]
    }
   ],
   "source": [
    "#: Get the sharpe ratio\n",
    "sharpe = (perf.returns.mean()*252)/(perf.returns.std() * np.sqrt(252))\n",
    "print(\"The Sharpe ratio is %0.6f\" % sharpe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/cnakhare/opt/anaconda3/envs/env_zipline/lib/python3.5/site-packages/empyrical/stats.py:790: RuntimeWarning: invalid value encountered in true_divide\n",
      "  np.divide(average_annual_return, annualized_downside_risk, out=out)\n",
      "/Users/cnakhare/opt/anaconda3/envs/env_zipline/lib/python3.5/site-packages/empyrical/stats.py:704: RuntimeWarning: invalid value encountered in true_divide\n",
      "  out=out,\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\n",
      "All backtest simulations completed!\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from collections import defaultdict\n",
    "\n",
    "# This will create a list with 9 entries\n",
    "short_mavg_days_list = [days for days in np.arange(5, 50, 5)]\n",
    "# This will create a list with 40 entries\n",
    "long_mavg_days_list = [days for days in np.arange(10, 210, 5)]\n",
    "\n",
    "#: Create a dictionary to hold all the results of our algorithm run\n",
    "all_sharpes = defaultdict(dict)\n",
    "\n",
    "# Count the number of backtests run\n",
    "backtest_count = 0\n",
    "\n",
    "# This will loop and run 324 backtests\n",
    "# Each backtest takes about 3 seconds, so this will take around 16 minutes\n",
    "for short_mavg_days in short_mavg_days_list:\n",
    "    for long_mavg_days in long_mavg_days_list:\n",
    "        # Only consider cases where the short is less than long.. but why this not working?\n",
    "        if short_mavg_days < long_mavg_days:\n",
    "            \n",
    "            #: Redefine initialize with new weights\n",
    "            def initialize(context):\n",
    "                context.aapl = context.aapl = symbol('AAPL')\n",
    "    \n",
    "                # Set context parameters based on global parameters \n",
    "                context.short_mavg_days = short_mavg_days\n",
    "                context.long_mavg_days = long_mavg_days\n",
    "    \n",
    "\n",
    "                # Used to warm-up moving averages\n",
    "                context.i = 0  \n",
    "      \n",
    "            perf_manual = zipline.run_algorithm(start=datetime(2017, 1, 2, 0 , 0, 0, 0, pytz.utc),\n",
    "                      end=datetime(2017, 12, 29,0, 0, 0, 0, pytz.utc),\n",
    "                      initialize=initialize,\n",
    "                      capital_base=100000,\n",
    "                      handle_data=handle_data,\n",
    "                      bundle='eu_stocks',\n",
    "                      trading_calendar=get_calendar('NYSE'))\n",
    "            \n",
    "            # Keep track of how many backtests were run\n",
    "            backtest_count += 1\n",
    "            print(\"Backtest {0} completed...\" + str(backtest_count))\n",
    "            \n",
    "            # Calculate the sharpe for this backtest\n",
    "            sharpe = (perf_manual.returns.mean()*252)/(perf_manual.returns.std() * np.sqrt(252))\n",
    "        \n",
    "            #: Add the result to our dict\n",
    "            all_sharpes[short_mavg_days][long_mavg_days] = sharpe\n",
    "\n",
    "\n",
    "print()\n",
    "print(\"All backtest simulations completed!\")\n",
    "print()\n",
    "\n",
    "all_sharpes = pd.DataFrame(all_sharpes)\n",
    "all_sharpes.index.name = \"Long Moving Average Days\"\n",
    "all_sharpes.columns.name = \"Short Moving Average Days\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Short Moving Average Days        5         10        15        20        25  \\\n",
      "Long Moving Average Days                                                      \n",
      "10                         1.613037       NaN       NaN       NaN       NaN   \n",
      "15                         1.518555  1.518555       NaN       NaN       NaN   \n",
      "20                         1.249542  1.249542  1.249542       NaN       NaN   \n",
      "25                         1.076450  1.076450  1.076450  1.076450       NaN   \n",
      "30                         0.896998  0.896998  0.896998  0.896998  0.896998   \n",
      "35                         0.845551  0.845551  0.845551  0.845551  0.845551   \n",
      "40                         0.725157  0.725157  0.725157  0.725157  0.725157   \n",
      "45                         0.741480  0.741480  0.741480  0.741480  0.741480   \n",
      "50                         0.657126  0.657126  0.657126  0.657126  0.657126   \n",
      "55                         0.615527  0.615527  0.615527  0.615527  0.615527   \n",
      "60                         0.463359  0.463359  0.463359  0.463359  0.463359   \n",
      "65                         0.479044  0.479044  0.479044  0.479044  0.479044   \n",
      "70                         0.594027  0.594027  0.594027  0.594027  0.594027   \n",
      "75                         0.594027  0.594027  0.594027  0.594027  0.594027   \n",
      "80                         0.638928  0.638928  0.638928  0.638928  0.638928   \n",
      "85                         0.376452  0.376452  0.376452  0.376452  0.376452   \n",
      "90                         0.012231  0.012231  0.012231  0.012231  0.012231   \n",
      "95                         0.169054  0.169054  0.169054  0.169054  0.169054   \n",
      "100                        0.127615  0.127615  0.127615  0.127615  0.127615   \n",
      "105                        0.113577  0.113577  0.113577  0.113577  0.113577   \n",
      "110                        0.637627  0.637627  0.637627  0.637627  0.637627   \n",
      "115                        0.637627  0.637627  0.637627  0.637627  0.637627   \n",
      "120                        0.637627  0.637627  0.637627  0.637627  0.637627   \n",
      "125                        0.810868  0.810868  0.810868  0.810868  0.810868   \n",
      "130                        0.810868  0.810868  0.810868  0.810868  0.810868   \n",
      "135                        0.542722  0.542722  0.542722  0.542722  0.542722   \n",
      "140                        0.379785  0.379785  0.379785  0.379785  0.379785   \n",
      "145                        0.562936  0.562936  0.562936  0.562936  0.562936   \n",
      "150                       -0.138179 -0.138179 -0.138179 -0.138179 -0.138179   \n",
      "155                       -0.291319 -0.291319 -0.291319 -0.291319 -0.291319   \n",
      "160                       -0.158750 -0.158750 -0.158750 -0.158750 -0.158750   \n",
      "165                       -0.162726 -0.162726 -0.162726 -0.162726 -0.162726   \n",
      "170                       -0.081857 -0.081857 -0.081857 -0.081857 -0.081857   \n",
      "175                       -0.039595 -0.039595 -0.039595 -0.039595 -0.039595   \n",
      "180                       -0.039595 -0.039595 -0.039595 -0.039595 -0.039595   \n",
      "185                       -0.039595 -0.039595 -0.039595 -0.039595 -0.039595   \n",
      "190                       -0.039595 -0.039595 -0.039595 -0.039595 -0.039595   \n",
      "195                       -0.333803 -0.333803 -0.333803 -0.333803 -0.333803   \n",
      "200                       -0.668685 -0.668685 -0.668685 -0.668685 -0.668685   \n",
      "205                       -0.356891 -0.356891 -0.356891 -0.356891 -0.356891   \n",
      "\n",
      "Short Moving Average Days        30        35        40        45  \n",
      "Long Moving Average Days                                           \n",
      "10                              NaN       NaN       NaN       NaN  \n",
      "15                              NaN       NaN       NaN       NaN  \n",
      "20                              NaN       NaN       NaN       NaN  \n",
      "25                              NaN       NaN       NaN       NaN  \n",
      "30                              NaN       NaN       NaN       NaN  \n",
      "35                         0.845551       NaN       NaN       NaN  \n",
      "40                         0.725157  0.725157       NaN       NaN  \n",
      "45                         0.741480  0.741480  0.741480       NaN  \n",
      "50                         0.657126  0.657126  0.657126  0.657126  \n",
      "55                         0.615527  0.615527  0.615527  0.615527  \n",
      "60                         0.463359  0.463359  0.463359  0.463359  \n",
      "65                         0.479044  0.479044  0.479044  0.479044  \n",
      "70                         0.594027  0.594027  0.594027  0.594027  \n",
      "75                         0.594027  0.594027  0.594027  0.594027  \n",
      "80                         0.638928  0.638928  0.638928  0.638928  \n",
      "85                         0.376452  0.376452  0.376452  0.376452  \n",
      "90                         0.012231  0.012231  0.012231  0.012231  \n",
      "95                         0.169054  0.169054  0.169054  0.169054  \n",
      "100                        0.127615  0.127615  0.127615  0.127615  \n",
      "105                        0.113577  0.113577  0.113577  0.113577  \n",
      "110                        0.637627  0.637627  0.637627  0.637627  \n",
      "115                        0.637627  0.637627  0.637627  0.637627  \n",
      "120                        0.637627  0.637627  0.637627  0.637627  \n",
      "125                        0.810868  0.810868  0.810868  0.810868  \n",
      "130                        0.810868  0.810868  0.810868  0.810868  \n",
      "135                        0.542722  0.542722  0.542722  0.542722  \n",
      "140                        0.379785  0.379785  0.379785  0.379785  \n",
      "145                        0.562936  0.562936  0.562936  0.562936  \n",
      "150                       -0.138179 -0.138179 -0.138179 -0.138179  \n",
      "155                       -0.291319 -0.291319 -0.291319 -0.291319  \n",
      "160                       -0.158750 -0.158750 -0.158750 -0.158750  \n",
      "165                       -0.162726 -0.162726 -0.162726 -0.162726  \n",
      "170                       -0.081857 -0.081857 -0.081857 -0.081857  \n",
      "175                       -0.039595 -0.039595 -0.039595 -0.039595  \n",
      "180                       -0.039595 -0.039595 -0.039595 -0.039595  \n",
      "185                       -0.039595 -0.039595 -0.039595 -0.039595  \n",
      "190                       -0.039595 -0.039595 -0.039595 -0.039595  \n",
      "195                       -0.333803 -0.333803 -0.333803 -0.333803  \n",
      "200                       -0.668685 -0.668685 -0.668685 -0.668685  \n",
      "205                       -0.356891 -0.356891 -0.356891 -0.356891  \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x2160 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as pyplot\n",
    "%matplotlib inline\n",
    "\n",
    "\n",
    "def heat_map(df):\n",
    "    \"\"\"\n",
    "    This creates our heatmap using our sharpe ratio dataframe\n",
    "    \"\"\"\n",
    "    fig = pyplot.figure(figsize=(10,30))\n",
    "    ax = fig.add_subplot(111)\n",
    "    axim = ax.imshow(df.values,cmap = pyplot.get_cmap('RdYlGn'), interpolation = 'nearest')\n",
    "    ax.set_xlabel(df.columns.name)\n",
    "    ax.set_xticks(np.arange(len(df.columns)))\n",
    "    ax.set_xticklabels(list(df.columns))\n",
    "    ax.set_ylabel(df.index.name)\n",
    "    ax.set_yticks(np.arange(len(df.index)))\n",
    "    ax.set_yticklabels(list(df.index))\n",
    "    ax.set_title(\"Sharpe Ratios\")\n",
    "    pyplot.colorbar(axim)\n",
    "    \n",
    "#: Plot our heatmap\n",
    "heat_map(all_sharpes)\n",
    "\n",
    "print(all_sharpes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Maximum Sharpe =1.6130368893330056\n"
     ]
    }
   ],
   "source": [
    "Max_Sharpe = max(all_sharpes.max(axis=1))\n",
    "print(\"Maximum Sharpe =\"+ str(Max_Sharpe))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}