10_SimpleStockMultiIndex.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Stocks Multi Index"
      ],
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": [
        "This is to understand multi index for stocks when you download multi stocks from Wiki and yahoo finance. You can download other stocks from different sources. "
      ],
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")\n",
        "\n",
        "# fix_yahoo_finance is used to fetch data \n",
        "import fix_yahoo_finance as yf\n",
        "yf.pdr_override()"
      ],
      "outputs": [],
      "execution_count": 1,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Get S&P500 stock symbols, sectors, and subsectors from wikipedia\n",
        "wiki_table = pd.read_html('https://en.wikipedia.org/wiki/List_of_S%26P_500_companies',header=0)[0]\n",
        "symbols = list(wiki_table['Symbol'])"
      ],
      "outputs": [],
      "execution_count": 2,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "wiki_table"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 3,
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Security</th>\n",
              "      <th>Symbol</th>\n",
              "      <th>SEC filings</th>\n",
              "      <th>GICS Sector</th>\n",
              "      <th>GICS Sub Industry</th>\n",
              "      <th>Headquarters Location</th>\n",
              "      <th>Date first added[3][4]</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3M Company</td>\n",
              "      <td>MMM</td>\n",
              "      <td>reports</td>\n",
              "      <td>Industrials</td>\n",
              "      <td>Industrial Conglomerates</td>\n",
              "      <td>St. Paul, Minnesota</td>\n",
              "      <td>NaN</td>\n",
              "      <td>66740</td>\n",
              "      <td>1902</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Abbott Laboratories</td>\n",
              "      <td>ABT</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Health Care Equipment</td>\n",
              "      <td>North Chicago, Illinois</td>\n",
              "      <td>1964-03-31</td>\n",
              "      <td>1800</td>\n",
              "      <td>1888</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>AbbVie Inc.</td>\n",
              "      <td>ABBV</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Pharmaceuticals</td>\n",
              "      <td>North Chicago, Illinois</td>\n",
              "      <td>2012-12-31</td>\n",
              "      <td>1551152</td>\n",
              "      <td>2013 (1888)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ABIOMED Inc</td>\n",
              "      <td>ABMD</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Health Care Equipment</td>\n",
              "      <td>Danvers, Massachusetts</td>\n",
              "      <td>2018-05-31</td>\n",
              "      <td>815094</td>\n",
              "      <td>1981</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Accenture plc</td>\n",
              "      <td>ACN</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>IT Consulting &amp; Other Services</td>\n",
              "      <td>Dublin, Ireland</td>\n",
              "      <td>2011-07-06</td>\n",
              "      <td>1467373</td>\n",
              "      <td>1989</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Activision Blizzard</td>\n",
              "      <td>ATVI</td>\n",
              "      <td>reports</td>\n",
              "      <td>Communication Services</td>\n",
              "      <td>Interactive Home Entertainment</td>\n",
              "      <td>Santa Monica, California</td>\n",
              "      <td>2015-08-31</td>\n",
              "      <td>718877</td>\n",
              "      <td>2008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Adobe Systems Inc</td>\n",
              "      <td>ADBE</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Application Software</td>\n",
              "      <td>San Jose, California</td>\n",
              "      <td>1997-05-05</td>\n",
              "      <td>796343</td>\n",
              "      <td>1982</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Advanced Micro Devices Inc</td>\n",
              "      <td>AMD</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Semiconductors</td>\n",
              "      <td>Sunnyvale, California</td>\n",
              "      <td>2017-03-20</td>\n",
              "      <td>2488</td>\n",
              "      <td>1969</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Advance Auto Parts</td>\n",
              "      <td>AAP</td>\n",
              "      <td>reports</td>\n",
              "      <td>Consumer Discretionary</td>\n",
              "      <td>Automotive Retail</td>\n",
              "      <td>Roanoke, Virginia</td>\n",
              "      <td>2015-07-09</td>\n",
              "      <td>1158449</td>\n",
              "      <td>1932</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>AES Corp</td>\n",
              "      <td>AES</td>\n",
              "      <td>reports</td>\n",
              "      <td>Utilities</td>\n",
              "      <td>Independent Power Producers &amp; Energy Traders</td>\n",
              "      <td>Arlington, Virginia</td>\n",
              "      <td>1998-10-02</td>\n",
              "      <td>874761</td>\n",
              "      <td>1981</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Affiliated Managers Group Inc</td>\n",
              "      <td>AMG</td>\n",
              "      <td>reports</td>\n",
              "      <td>Financials</td>\n",
              "      <td>Asset Management &amp; Custody Banks</td>\n",
              "      <td>Beverly, Massachusetts</td>\n",
              "      <td>2014-07-01</td>\n",
              "      <td>1004434</td>\n",
              "      <td>1993</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>AFLAC Inc</td>\n",
              "      <td>AFL</td>\n",
              "      <td>reports</td>\n",
              "      <td>Financials</td>\n",
              "      <td>Life &amp; Health Insurance</td>\n",
              "      <td>Columbus, Georgia</td>\n",
              "      <td>1999-05-28</td>\n",
              "      <td>4977</td>\n",
              "      <td>1955</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Agilent Technologies Inc</td>\n",
              "      <td>A</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Health Care Equipment</td>\n",
              "      <td>Santa Clara, California</td>\n",
              "      <td>2000-06-05</td>\n",
              "      <td>1090872</td>\n",
              "      <td>1999</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Air Products &amp; Chemicals Inc</td>\n",
              "      <td>APD</td>\n",
              "      <td>reports</td>\n",
              "      <td>Materials</td>\n",
              "      <td>Industrial Gases</td>\n",
              "      <td>Allentown, Pennsylvania</td>\n",
              "      <td>1985-04-30</td>\n",
              "      <td>2969</td>\n",
              "      <td>1940</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Akamai Technologies Inc</td>\n",
              "      <td>AKAM</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Internet Services &amp; Infrastructure</td>\n",
              "      <td>Cambridge, Massachusetts</td>\n",
              "      <td>2007-07-12</td>\n",
              "      <td>1086222</td>\n",
              "      <td>1998</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Alaska Air Group Inc</td>\n",
              "      <td>ALK</td>\n",
              "      <td>reports</td>\n",
              "      <td>Industrials</td>\n",
              "      <td>Airlines</td>\n",
              "      <td>Seattle, Washington</td>\n",
              "      <td>2016-05-13</td>\n",
              "      <td>766421</td>\n",
              "      <td>1985</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Albemarle Corp</td>\n",
              "      <td>ALB</td>\n",
              "      <td>reports</td>\n",
              "      <td>Materials</td>\n",
              "      <td>Specialty Chemicals</td>\n",
              "      <td>Baton Rouge, Louisiana</td>\n",
              "      <td>2016-07-01</td>\n",
              "      <td>915913</td>\n",
              "      <td>1994</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Alexandria Real Estate Equities Inc</td>\n",
              "      <td>ARE</td>\n",
              "      <td>reports</td>\n",
              "      <td>Real Estate</td>\n",
              "      <td>Office REITs</td>\n",
              "      <td>Pasadena, California</td>\n",
              "      <td>2017-03-20</td>\n",
              "      <td>1035443</td>\n",
              "      <td>1994</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Alexion Pharmaceuticals</td>\n",
              "      <td>ALXN</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Biotechnology</td>\n",
              "      <td>Cheshire, Connecticut</td>\n",
              "      <td>2012-05-25</td>\n",
              "      <td>899866</td>\n",
              "      <td>1992</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Align Technology</td>\n",
              "      <td>ALGN</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Health Care Supplies</td>\n",
              "      <td>San Jose, California</td>\n",
              "      <td>2017-06-19</td>\n",
              "      <td>1097149</td>\n",
              "      <td>1997</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>Allegion</td>\n",
              "      <td>ALLE</td>\n",
              "      <td>reports</td>\n",
              "      <td>Industrials</td>\n",
              "      <td>Building Products</td>\n",
              "      <td>Dublin, Ireland</td>\n",
              "      <td>2013-12-02</td>\n",
              "      <td>1579241</td>\n",
              "      <td>1908</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>Allergan, Plc</td>\n",
              "      <td>AGN</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Pharmaceuticals</td>\n",
              "      <td>Dublin, Ireland</td>\n",
              "      <td>1999-04-12</td>\n",
              "      <td>1578845</td>\n",
              "      <td>1983</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>Alliance Data Systems</td>\n",
              "      <td>ADS</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Data Processing &amp; Outsourced Services</td>\n",
              "      <td>Plano, Texas</td>\n",
              "      <td>2013-12-23</td>\n",
              "      <td>1101215</td>\n",
              "      <td>1996</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>Alliant Energy Corp</td>\n",
              "      <td>LNT</td>\n",
              "      <td>reports</td>\n",
              "      <td>Utilities</td>\n",
              "      <td>Electric Utilities</td>\n",
              "      <td>Madison, Wisconsin</td>\n",
              "      <td>2016-07-01</td>\n",
              "      <td>352541</td>\n",
              "      <td>1917</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>Allstate Corp</td>\n",
              "      <td>ALL</td>\n",
              "      <td>reports</td>\n",
              "      <td>Financials</td>\n",
              "      <td>Property &amp; Casualty Insurance</td>\n",
              "      <td>Northfield Township, Illinois</td>\n",
              "      <td>1995-07-13</td>\n",
              "      <td>899051</td>\n",
              "      <td>1931</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>Alphabet Inc Class A</td>\n",
              "      <td>GOOGL</td>\n",
              "      <td>reports</td>\n",
              "      <td>Communication Services</td>\n",
              "      <td>Interactive Media &amp; Services</td>\n",
              "      <td>Mountain View, California</td>\n",
              "      <td>2014-04-03</td>\n",
              "      <td>1652044</td>\n",
              "      <td>1998</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>Alphabet Inc Class C</td>\n",
              "      <td>GOOG</td>\n",
              "      <td>reports</td>\n",
              "      <td>Communication Services</td>\n",
              "      <td>Interactive Media &amp; Services</td>\n",
              "      <td>Mountain View, California</td>\n",
              "      <td>2006-04-03</td>\n",
              "      <td>1652044</td>\n",
              "      <td>1998</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>Altria Group Inc</td>\n",
              "      <td>MO</td>\n",
              "      <td>reports</td>\n",
              "      <td>Consumer Staples</td>\n",
              "      <td>Tobacco</td>\n",
              "      <td>Richmond, Virginia</td>\n",
              "      <td>NaN</td>\n",
              "      <td>764180</td>\n",
              "      <td>1985</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>Amazon.com Inc.</td>\n",
              "      <td>AMZN</td>\n",
              "      <td>reports</td>\n",
              "      <td>Consumer Discretionary</td>\n",
              "      <td>Internet &amp; Direct Marketing Retail</td>\n",
              "      <td>Seattle, Washington</td>\n",
              "      <td>2005-11-18</td>\n",
              "      <td>1018724</td>\n",
              "      <td>1994</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>Ameren Corp</td>\n",
              "      <td>AEE</td>\n",
              "      <td>reports</td>\n",
              "      <td>Utilities</td>\n",
              "      <td>Multi-Utilities</td>\n",
              "      <td>St. Louis, Missouri</td>\n",
              "      <td>1991-09-19</td>\n",
              "      <td>1002910</td>\n",
              "      <td>1902</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>475</th>\n",
              "      <td>Vertex Pharmaceuticals Inc</td>\n",
              "      <td>VRTX</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Biotechnology</td>\n",
              "      <td>Cambridge, Massachusetts</td>\n",
              "      <td>2013-09-23</td>\n",
              "      <td>875320</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>476</th>\n",
              "      <td>Viacom Inc.</td>\n",
              "      <td>VIAB</td>\n",
              "      <td>reports</td>\n",
              "      <td>Communication Services</td>\n",
              "      <td>Movies &amp; Entertainment</td>\n",
              "      <td>New York, New York</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1339947</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>477</th>\n",
              "      <td>Visa Inc.</td>\n",
              "      <td>V</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Internet Software &amp; Services</td>\n",
              "      <td>San Francisco, California</td>\n",
              "      <td>2009-12-21</td>\n",
              "      <td>1403161</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>478</th>\n",
              "      <td>Vornado Realty Trust</td>\n",
              "      <td>VNO</td>\n",
              "      <td>reports</td>\n",
              "      <td>Real Estate</td>\n",
              "      <td>Office REITs</td>\n",
              "      <td>New York, New York</td>\n",
              "      <td>NaN</td>\n",
              "      <td>899689</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>479</th>\n",
              "      <td>Vulcan Materials</td>\n",
              "      <td>VMC</td>\n",
              "      <td>reports</td>\n",
              "      <td>Materials</td>\n",
              "      <td>Construction Materials</td>\n",
              "      <td>Birmingham, Alabama</td>\n",
              "      <td>1999-06-30</td>\n",
              "      <td>1396009</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>480</th>\n",
              "      <td>Walmart</td>\n",
              "      <td>WMT</td>\n",
              "      <td>reports</td>\n",
              "      <td>Consumer Staples</td>\n",
              "      <td>Hypermarkets &amp; Super Centers</td>\n",
              "      <td>Bentonville, Arkansas</td>\n",
              "      <td>1982-08-31</td>\n",
              "      <td>104169</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>481</th>\n",
              "      <td>Walgreens Boots Alliance</td>\n",
              "      <td>WBA</td>\n",
              "      <td>reports</td>\n",
              "      <td>Consumer Staples</td>\n",
              "      <td>Drug Retail</td>\n",
              "      <td>Deerfield, Illinois</td>\n",
              "      <td>1979-12-31</td>\n",
              "      <td>1618921</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>482</th>\n",
              "      <td>The Walt Disney Company</td>\n",
              "      <td>DIS</td>\n",
              "      <td>reports</td>\n",
              "      <td>Communication Services</td>\n",
              "      <td>Movies &amp; Entertainment</td>\n",
              "      <td>Burbank, California</td>\n",
              "      <td>1976-06-30</td>\n",
              "      <td>1001039</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>483</th>\n",
              "      <td>Waste Management Inc.</td>\n",
              "      <td>WM</td>\n",
              "      <td>reports</td>\n",
              "      <td>Industrials</td>\n",
              "      <td>Environmental &amp; Facilities Services</td>\n",
              "      <td>Houston, Texas</td>\n",
              "      <td>NaN</td>\n",
              "      <td>823768</td>\n",
              "      <td>1968</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>484</th>\n",
              "      <td>Waters Corporation</td>\n",
              "      <td>WAT</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Health Care Distributors</td>\n",
              "      <td>Milford, Massachusetts</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1000697</td>\n",
              "      <td>1958</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>485</th>\n",
              "      <td>Wec Energy Group Inc</td>\n",
              "      <td>WEC</td>\n",
              "      <td>reports</td>\n",
              "      <td>Utilities</td>\n",
              "      <td>Electric Utilities</td>\n",
              "      <td>Milwaukee, Wisconsin</td>\n",
              "      <td>2008-10-31</td>\n",
              "      <td>783325</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>486</th>\n",
              "      <td>WellCare</td>\n",
              "      <td>WCG</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Managed Health Care</td>\n",
              "      <td>Tampa, Florida</td>\n",
              "      <td>1985</td>\n",
              "      <td>1279363</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>487</th>\n",
              "      <td>Wells Fargo</td>\n",
              "      <td>WFC</td>\n",
              "      <td>reports</td>\n",
              "      <td>Financials</td>\n",
              "      <td>Diversified Banks</td>\n",
              "      <td>San Francisco, California</td>\n",
              "      <td>1976-06-30</td>\n",
              "      <td>72971</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>488</th>\n",
              "      <td>Welltower Inc.</td>\n",
              "      <td>WELL</td>\n",
              "      <td>reports</td>\n",
              "      <td>Real Estate</td>\n",
              "      <td>Health Care REITs</td>\n",
              "      <td>Toledo, Ohio</td>\n",
              "      <td>2009-01-30</td>\n",
              "      <td>766704</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>489</th>\n",
              "      <td>Western Digital</td>\n",
              "      <td>WDC</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Technology Hardware, Storage &amp; Peripherals</td>\n",
              "      <td>Irvine, California</td>\n",
              "      <td>2009-07-01</td>\n",
              "      <td>106040</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>490</th>\n",
              "      <td>Western Union Co</td>\n",
              "      <td>WU</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Internet Software &amp; Services</td>\n",
              "      <td>Englewood, Colorado</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1365135</td>\n",
              "      <td>1851</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>491</th>\n",
              "      <td>WestRock</td>\n",
              "      <td>WRK</td>\n",
              "      <td>reports</td>\n",
              "      <td>Materials</td>\n",
              "      <td>Paper Packaging</td>\n",
              "      <td>Richmond, Virginia</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1636023</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>492</th>\n",
              "      <td>Weyerhaeuser</td>\n",
              "      <td>WY</td>\n",
              "      <td>reports</td>\n",
              "      <td>Real Estate</td>\n",
              "      <td>Specialized REITs</td>\n",
              "      <td>Federal Way, Washington</td>\n",
              "      <td>NaN</td>\n",
              "      <td>106535</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>493</th>\n",
              "      <td>Whirlpool Corp.</td>\n",
              "      <td>WHR</td>\n",
              "      <td>reports</td>\n",
              "      <td>Consumer Discretionary</td>\n",
              "      <td>Household Appliances</td>\n",
              "      <td>Benton Harbor, Michigan</td>\n",
              "      <td>NaN</td>\n",
              "      <td>106640</td>\n",
              "      <td>1911</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>494</th>\n",
              "      <td>Williams Cos.</td>\n",
              "      <td>WMB</td>\n",
              "      <td>reports</td>\n",
              "      <td>Energy</td>\n",
              "      <td>Oil &amp; Gas Storage &amp; Transportation</td>\n",
              "      <td>Tulsa, Oklahoma</td>\n",
              "      <td>1975-03-31</td>\n",
              "      <td>107263</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>495</th>\n",
              "      <td>Willis Towers Watson</td>\n",
              "      <td>WLTW</td>\n",
              "      <td>reports</td>\n",
              "      <td>Financials</td>\n",
              "      <td>Insurance Brokers</td>\n",
              "      <td>London, United Kingdom</td>\n",
              "      <td>2016-01-05</td>\n",
              "      <td>1140536</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>496</th>\n",
              "      <td>Wynn Resorts Ltd</td>\n",
              "      <td>WYNN</td>\n",
              "      <td>reports</td>\n",
              "      <td>Consumer Discretionary</td>\n",
              "      <td>Casinos &amp; Gaming</td>\n",
              "      <td>Paradise, Nevada</td>\n",
              "      <td>2008-11-14</td>\n",
              "      <td>1174922</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>497</th>\n",
              "      <td>Xcel Energy Inc</td>\n",
              "      <td>XEL</td>\n",
              "      <td>reports</td>\n",
              "      <td>Utilities</td>\n",
              "      <td>Multi-Utilities</td>\n",
              "      <td>Minneapolis, Minnesota</td>\n",
              "      <td>NaN</td>\n",
              "      <td>72903</td>\n",
              "      <td>1909</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>498</th>\n",
              "      <td>Xerox</td>\n",
              "      <td>XRX</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Technology Hardware, Storage &amp; Peripherals</td>\n",
              "      <td>Norwalk, Connecticut</td>\n",
              "      <td>NaN</td>\n",
              "      <td>108772</td>\n",
              "      <td>1906</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>499</th>\n",
              "      <td>Xilinx</td>\n",
              "      <td>XLNX</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Semiconductors</td>\n",
              "      <td>San Jose, California</td>\n",
              "      <td>1999-11-08</td>\n",
              "      <td>743988</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>500</th>\n",
              "      <td>Xylem Inc.</td>\n",
              "      <td>XYL</td>\n",
              "      <td>reports</td>\n",
              "      <td>Industrials</td>\n",
              "      <td>Industrial Machinery</td>\n",
              "      <td>White Plains, New York</td>\n",
              "      <td>2011-11-01</td>\n",
              "      <td>1524472</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>501</th>\n",
              "      <td>Yum! Brands Inc</td>\n",
              "      <td>YUM</td>\n",
              "      <td>reports</td>\n",
              "      <td>Consumer Discretionary</td>\n",
              "      <td>Restaurants</td>\n",
              "      <td>Louisville, Kentucky</td>\n",
              "      <td>1997-10-06</td>\n",
              "      <td>1041061</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>502</th>\n",
              "      <td>Zimmer Biomet Holdings</td>\n",
              "      <td>ZBH</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Health Care Equipment</td>\n",
              "      <td>Warsaw, Indiana</td>\n",
              "      <td>2001-08-07</td>\n",
              "      <td>1136869</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>503</th>\n",
              "      <td>Zions Bancorp</td>\n",
              "      <td>ZION</td>\n",
              "      <td>reports</td>\n",
              "      <td>Financials</td>\n",
              "      <td>Regional Banks</td>\n",
              "      <td>Salt Lake City, Utah</td>\n",
              "      <td>2001-06-22</td>\n",
              "      <td>109380</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>504</th>\n",
              "      <td>Zoetis</td>\n",
              "      <td>ZTS</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Pharmaceuticals</td>\n",
              "      <td>Florham Park, New Jersey</td>\n",
              "      <td>2013-06-21</td>\n",
              "      <td>1555280</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>505 rows × 9 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                Security Symbol SEC filings  \\\n",
              "0                             3M Company    MMM     reports   \n",
              "1                    Abbott Laboratories    ABT     reports   \n",
              "2                            AbbVie Inc.   ABBV     reports   \n",
              "3                            ABIOMED Inc   ABMD     reports   \n",
              "4                          Accenture plc    ACN     reports   \n",
              "5                    Activision Blizzard   ATVI     reports   \n",
              "6                      Adobe Systems Inc   ADBE     reports   \n",
              "7             Advanced Micro Devices Inc    AMD     reports   \n",
              "8                     Advance Auto Parts    AAP     reports   \n",
              "9                               AES Corp    AES     reports   \n",
              "10         Affiliated Managers Group Inc    AMG     reports   \n",
              "11                             AFLAC Inc    AFL     reports   \n",
              "12              Agilent Technologies Inc      A     reports   \n",
              "13          Air Products & Chemicals Inc    APD     reports   \n",
              "14               Akamai Technologies Inc   AKAM     reports   \n",
              "15                  Alaska Air Group Inc    ALK     reports   \n",
              "16                        Albemarle Corp    ALB     reports   \n",
              "17   Alexandria Real Estate Equities Inc    ARE     reports   \n",
              "18               Alexion Pharmaceuticals   ALXN     reports   \n",
              "19                      Align Technology   ALGN     reports   \n",
              "20                              Allegion   ALLE     reports   \n",
              "21                         Allergan, Plc    AGN     reports   \n",
              "22                 Alliance Data Systems    ADS     reports   \n",
              "23                   Alliant Energy Corp    LNT     reports   \n",
              "24                         Allstate Corp    ALL     reports   \n",
              "25                  Alphabet Inc Class A  GOOGL     reports   \n",
              "26                  Alphabet Inc Class C   GOOG     reports   \n",
              "27                      Altria Group Inc     MO     reports   \n",
              "28                       Amazon.com Inc.   AMZN     reports   \n",
              "29                           Ameren Corp    AEE     reports   \n",
              "..                                   ...    ...         ...   \n",
              "475           Vertex Pharmaceuticals Inc   VRTX     reports   \n",
              "476                          Viacom Inc.   VIAB     reports   \n",
              "477                            Visa Inc.      V     reports   \n",
              "478                 Vornado Realty Trust    VNO     reports   \n",
              "479                     Vulcan Materials    VMC     reports   \n",
              "480                              Walmart    WMT     reports   \n",
              "481             Walgreens Boots Alliance    WBA     reports   \n",
              "482              The Walt Disney Company    DIS     reports   \n",
              "483                Waste Management Inc.     WM     reports   \n",
              "484                   Waters Corporation    WAT     reports   \n",
              "485                 Wec Energy Group Inc    WEC     reports   \n",
              "486                             WellCare    WCG     reports   \n",
              "487                          Wells Fargo    WFC     reports   \n",
              "488                       Welltower Inc.   WELL     reports   \n",
              "489                      Western Digital    WDC     reports   \n",
              "490                     Western Union Co     WU     reports   \n",
              "491                             WestRock    WRK     reports   \n",
              "492                         Weyerhaeuser     WY     reports   \n",
              "493                      Whirlpool Corp.    WHR     reports   \n",
              "494                        Williams Cos.    WMB     reports   \n",
              "495                 Willis Towers Watson   WLTW     reports   \n",
              "496                     Wynn Resorts Ltd   WYNN     reports   \n",
              "497                      Xcel Energy Inc    XEL     reports   \n",
              "498                                Xerox    XRX     reports   \n",
              "499                               Xilinx   XLNX     reports   \n",
              "500                           Xylem Inc.    XYL     reports   \n",
              "501                      Yum! Brands Inc    YUM     reports   \n",
              "502               Zimmer Biomet Holdings    ZBH     reports   \n",
              "503                        Zions Bancorp   ZION     reports   \n",
              "504                               Zoetis    ZTS     reports   \n",
              "\n",
              "                GICS Sector                             GICS Sub Industry  \\\n",
              "0               Industrials                      Industrial Conglomerates   \n",
              "1               Health Care                         Health Care Equipment   \n",
              "2               Health Care                               Pharmaceuticals   \n",
              "3               Health Care                         Health Care Equipment   \n",
              "4    Information Technology                IT Consulting & Other Services   \n",
              "5    Communication Services                Interactive Home Entertainment   \n",
              "6    Information Technology                          Application Software   \n",
              "7    Information Technology                                Semiconductors   \n",
              "8    Consumer Discretionary                             Automotive Retail   \n",
              "9                 Utilities  Independent Power Producers & Energy Traders   \n",
              "10               Financials              Asset Management & Custody Banks   \n",
              "11               Financials                       Life & Health Insurance   \n",
              "12              Health Care                         Health Care Equipment   \n",
              "13                Materials                              Industrial Gases   \n",
              "14   Information Technology            Internet Services & Infrastructure   \n",
              "15              Industrials                                      Airlines   \n",
              "16                Materials                           Specialty Chemicals   \n",
              "17              Real Estate                                  Office REITs   \n",
              "18              Health Care                                 Biotechnology   \n",
              "19              Health Care                          Health Care Supplies   \n",
              "20              Industrials                             Building Products   \n",
              "21              Health Care                               Pharmaceuticals   \n",
              "22   Information Technology         Data Processing & Outsourced Services   \n",
              "23                Utilities                            Electric Utilities   \n",
              "24               Financials                 Property & Casualty Insurance   \n",
              "25   Communication Services                  Interactive Media & Services   \n",
              "26   Communication Services                  Interactive Media & Services   \n",
              "27         Consumer Staples                                       Tobacco   \n",
              "28   Consumer Discretionary            Internet & Direct Marketing Retail   \n",
              "29                Utilities                               Multi-Utilities   \n",
              "..                      ...                                           ...   \n",
              "475             Health Care                                 Biotechnology   \n",
              "476  Communication Services                        Movies & Entertainment   \n",
              "477  Information Technology                  Internet Software & Services   \n",
              "478             Real Estate                                  Office REITs   \n",
              "479               Materials                        Construction Materials   \n",
              "480        Consumer Staples                  Hypermarkets & Super Centers   \n",
              "481        Consumer Staples                                   Drug Retail   \n",
              "482  Communication Services                        Movies & Entertainment   \n",
              "483             Industrials           Environmental & Facilities Services   \n",
              "484             Health Care                      Health Care Distributors   \n",
              "485               Utilities                            Electric Utilities   \n",
              "486             Health Care                           Managed Health Care   \n",
              "487              Financials                             Diversified Banks   \n",
              "488             Real Estate                             Health Care REITs   \n",
              "489  Information Technology    Technology Hardware, Storage & Peripherals   \n",
              "490  Information Technology                  Internet Software & Services   \n",
              "491               Materials                               Paper Packaging   \n",
              "492             Real Estate                             Specialized REITs   \n",
              "493  Consumer Discretionary                          Household Appliances   \n",
              "494                  Energy            Oil & Gas Storage & Transportation   \n",
              "495              Financials                             Insurance Brokers   \n",
              "496  Consumer Discretionary                              Casinos & Gaming   \n",
              "497               Utilities                               Multi-Utilities   \n",
              "498  Information Technology    Technology Hardware, Storage & Peripherals   \n",
              "499  Information Technology                                Semiconductors   \n",
              "500             Industrials                          Industrial Machinery   \n",
              "501  Consumer Discretionary                                   Restaurants   \n",
              "502             Health Care                         Health Care Equipment   \n",
              "503              Financials                                Regional Banks   \n",
              "504             Health Care                               Pharmaceuticals   \n",
              "\n",
              "             Headquarters Location Date first added[3][4]      CIK  \\\n",
              "0              St. Paul, Minnesota                    NaN    66740   \n",
              "1          North Chicago, Illinois             1964-03-31     1800   \n",
              "2          North Chicago, Illinois             2012-12-31  1551152   \n",
              "3           Danvers, Massachusetts             2018-05-31   815094   \n",
              "4                  Dublin, Ireland             2011-07-06  1467373   \n",
              "5         Santa Monica, California             2015-08-31   718877   \n",
              "6             San Jose, California             1997-05-05   796343   \n",
              "7            Sunnyvale, California             2017-03-20     2488   \n",
              "8                Roanoke, Virginia             2015-07-09  1158449   \n",
              "9              Arlington, Virginia             1998-10-02   874761   \n",
              "10          Beverly, Massachusetts             2014-07-01  1004434   \n",
              "11               Columbus, Georgia             1999-05-28     4977   \n",
              "12         Santa Clara, California             2000-06-05  1090872   \n",
              "13         Allentown, Pennsylvania             1985-04-30     2969   \n",
              "14        Cambridge, Massachusetts             2007-07-12  1086222   \n",
              "15             Seattle, Washington             2016-05-13   766421   \n",
              "16          Baton Rouge, Louisiana             2016-07-01   915913   \n",
              "17            Pasadena, California             2017-03-20  1035443   \n",
              "18           Cheshire, Connecticut             2012-05-25   899866   \n",
              "19            San Jose, California             2017-06-19  1097149   \n",
              "20                 Dublin, Ireland             2013-12-02  1579241   \n",
              "21                 Dublin, Ireland             1999-04-12  1578845   \n",
              "22                    Plano, Texas             2013-12-23  1101215   \n",
              "23              Madison, Wisconsin             2016-07-01   352541   \n",
              "24   Northfield Township, Illinois             1995-07-13   899051   \n",
              "25       Mountain View, California             2014-04-03  1652044   \n",
              "26       Mountain View, California             2006-04-03  1652044   \n",
              "27              Richmond, Virginia                    NaN   764180   \n",
              "28             Seattle, Washington             2005-11-18  1018724   \n",
              "29             St. Louis, Missouri             1991-09-19  1002910   \n",
              "..                             ...                    ...      ...   \n",
              "475       Cambridge, Massachusetts             2013-09-23   875320   \n",
              "476             New York, New York                    NaN  1339947   \n",
              "477      San Francisco, California             2009-12-21  1403161   \n",
              "478             New York, New York                    NaN   899689   \n",
              "479            Birmingham, Alabama             1999-06-30  1396009   \n",
              "480          Bentonville, Arkansas             1982-08-31   104169   \n",
              "481            Deerfield, Illinois             1979-12-31  1618921   \n",
              "482            Burbank, California             1976-06-30  1001039   \n",
              "483                 Houston, Texas                    NaN   823768   \n",
              "484         Milford, Massachusetts                    NaN  1000697   \n",
              "485           Milwaukee, Wisconsin             2008-10-31   783325   \n",
              "486                 Tampa, Florida                   1985  1279363   \n",
              "487      San Francisco, California             1976-06-30    72971   \n",
              "488                   Toledo, Ohio             2009-01-30   766704   \n",
              "489             Irvine, California             2009-07-01   106040   \n",
              "490            Englewood, Colorado                    NaN  1365135   \n",
              "491             Richmond, Virginia                    NaN  1636023   \n",
              "492        Federal Way, Washington                    NaN   106535   \n",
              "493        Benton Harbor, Michigan                    NaN   106640   \n",
              "494                Tulsa, Oklahoma             1975-03-31   107263   \n",
              "495         London, United Kingdom             2016-01-05  1140536   \n",
              "496               Paradise, Nevada             2008-11-14  1174922   \n",
              "497         Minneapolis, Minnesota                    NaN    72903   \n",
              "498           Norwalk, Connecticut                    NaN   108772   \n",
              "499           San Jose, California             1999-11-08   743988   \n",
              "500         White Plains, New York             2011-11-01  1524472   \n",
              "501           Louisville, Kentucky             1997-10-06  1041061   \n",
              "502                Warsaw, Indiana             2001-08-07  1136869   \n",
              "503           Salt Lake City, Utah             2001-06-22   109380   \n",
              "504       Florham Park, New Jersey             2013-06-21  1555280   \n",
              "\n",
              "         Founded  \n",
              "0           1902  \n",
              "1           1888  \n",
              "2    2013 (1888)  \n",
              "3           1981  \n",
              "4           1989  \n",
              "5           2008  \n",
              "6           1982  \n",
              "7           1969  \n",
              "8           1932  \n",
              "9           1981  \n",
              "10          1993  \n",
              "11          1955  \n",
              "12          1999  \n",
              "13          1940  \n",
              "14          1998  \n",
              "15          1985  \n",
              "16          1994  \n",
              "17          1994  \n",
              "18          1992  \n",
              "19          1997  \n",
              "20          1908  \n",
              "21          1983  \n",
              "22          1996  \n",
              "23          1917  \n",
              "24          1931  \n",
              "25          1998  \n",
              "26          1998  \n",
              "27          1985  \n",
              "28          1994  \n",
              "29          1902  \n",
              "..           ...  \n",
              "475          NaN  \n",
              "476          NaN  \n",
              "477          NaN  \n",
              "478          NaN  \n",
              "479          NaN  \n",
              "480          NaN  \n",
              "481          NaN  \n",
              "482          NaN  \n",
              "483         1968  \n",
              "484         1958  \n",
              "485          NaN  \n",
              "486          NaN  \n",
              "487          NaN  \n",
              "488          NaN  \n",
              "489          NaN  \n",
              "490         1851  \n",
              "491          NaN  \n",
              "492          NaN  \n",
              "493         1911  \n",
              "494          NaN  \n",
              "495          NaN  \n",
              "496          NaN  \n",
              "497         1909  \n",
              "498         1906  \n",
              "499          NaN  \n",
              "500          NaN  \n",
              "501          NaN  \n",
              "502          NaN  \n",
              "503          NaN  \n",
              "504          NaN  \n",
              "\n[505 rows x 9 columns]"
            ]
          },
          "metadata": {}
        }
      ],
      "execution_count": 3,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sectors = list(wiki_table['GICS Sector'])\n",
        "subsectors = list(wiki_table['GICS Sub Industry'])"
      ],
      "outputs": [],
      "execution_count": 4,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "url = 'https://en.wikipedia.org/wiki/List_of_S%26P_500_companies'\n",
        "sp500 = pd.read_html(url,header=0)[0]"
      ],
      "outputs": [],
      "execution_count": 5,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sp500"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 6,
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Security</th>\n",
              "      <th>Symbol</th>\n",
              "      <th>SEC filings</th>\n",
              "      <th>GICS Sector</th>\n",
              "      <th>GICS Sub Industry</th>\n",
              "      <th>Headquarters Location</th>\n",
              "      <th>Date first added[3][4]</th>\n",
              "      <th>CIK</th>\n",
              "      <th>Founded</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3M Company</td>\n",
              "      <td>MMM</td>\n",
              "      <td>reports</td>\n",
              "      <td>Industrials</td>\n",
              "      <td>Industrial Conglomerates</td>\n",
              "      <td>St. Paul, Minnesota</td>\n",
              "      <td>NaN</td>\n",
              "      <td>66740</td>\n",
              "      <td>1902</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Abbott Laboratories</td>\n",
              "      <td>ABT</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Health Care Equipment</td>\n",
              "      <td>North Chicago, Illinois</td>\n",
              "      <td>1964-03-31</td>\n",
              "      <td>1800</td>\n",
              "      <td>1888</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>AbbVie Inc.</td>\n",
              "      <td>ABBV</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Pharmaceuticals</td>\n",
              "      <td>North Chicago, Illinois</td>\n",
              "      <td>2012-12-31</td>\n",
              "      <td>1551152</td>\n",
              "      <td>2013 (1888)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ABIOMED Inc</td>\n",
              "      <td>ABMD</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Health Care Equipment</td>\n",
              "      <td>Danvers, Massachusetts</td>\n",
              "      <td>2018-05-31</td>\n",
              "      <td>815094</td>\n",
              "      <td>1981</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Accenture plc</td>\n",
              "      <td>ACN</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>IT Consulting &amp; Other Services</td>\n",
              "      <td>Dublin, Ireland</td>\n",
              "      <td>2011-07-06</td>\n",
              "      <td>1467373</td>\n",
              "      <td>1989</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Activision Blizzard</td>\n",
              "      <td>ATVI</td>\n",
              "      <td>reports</td>\n",
              "      <td>Communication Services</td>\n",
              "      <td>Interactive Home Entertainment</td>\n",
              "      <td>Santa Monica, California</td>\n",
              "      <td>2015-08-31</td>\n",
              "      <td>718877</td>\n",
              "      <td>2008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Adobe Systems Inc</td>\n",
              "      <td>ADBE</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Application Software</td>\n",
              "      <td>San Jose, California</td>\n",
              "      <td>1997-05-05</td>\n",
              "      <td>796343</td>\n",
              "      <td>1982</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Advanced Micro Devices Inc</td>\n",
              "      <td>AMD</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Semiconductors</td>\n",
              "      <td>Sunnyvale, California</td>\n",
              "      <td>2017-03-20</td>\n",
              "      <td>2488</td>\n",
              "      <td>1969</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Advance Auto Parts</td>\n",
              "      <td>AAP</td>\n",
              "      <td>reports</td>\n",
              "      <td>Consumer Discretionary</td>\n",
              "      <td>Automotive Retail</td>\n",
              "      <td>Roanoke, Virginia</td>\n",
              "      <td>2015-07-09</td>\n",
              "      <td>1158449</td>\n",
              "      <td>1932</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>AES Corp</td>\n",
              "      <td>AES</td>\n",
              "      <td>reports</td>\n",
              "      <td>Utilities</td>\n",
              "      <td>Independent Power Producers &amp; Energy Traders</td>\n",
              "      <td>Arlington, Virginia</td>\n",
              "      <td>1998-10-02</td>\n",
              "      <td>874761</td>\n",
              "      <td>1981</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Affiliated Managers Group Inc</td>\n",
              "      <td>AMG</td>\n",
              "      <td>reports</td>\n",
              "      <td>Financials</td>\n",
              "      <td>Asset Management &amp; Custody Banks</td>\n",
              "      <td>Beverly, Massachusetts</td>\n",
              "      <td>2014-07-01</td>\n",
              "      <td>1004434</td>\n",
              "      <td>1993</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>AFLAC Inc</td>\n",
              "      <td>AFL</td>\n",
              "      <td>reports</td>\n",
              "      <td>Financials</td>\n",
              "      <td>Life &amp; Health Insurance</td>\n",
              "      <td>Columbus, Georgia</td>\n",
              "      <td>1999-05-28</td>\n",
              "      <td>4977</td>\n",
              "      <td>1955</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Agilent Technologies Inc</td>\n",
              "      <td>A</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Health Care Equipment</td>\n",
              "      <td>Santa Clara, California</td>\n",
              "      <td>2000-06-05</td>\n",
              "      <td>1090872</td>\n",
              "      <td>1999</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Air Products &amp; Chemicals Inc</td>\n",
              "      <td>APD</td>\n",
              "      <td>reports</td>\n",
              "      <td>Materials</td>\n",
              "      <td>Industrial Gases</td>\n",
              "      <td>Allentown, Pennsylvania</td>\n",
              "      <td>1985-04-30</td>\n",
              "      <td>2969</td>\n",
              "      <td>1940</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Akamai Technologies Inc</td>\n",
              "      <td>AKAM</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Internet Services &amp; Infrastructure</td>\n",
              "      <td>Cambridge, Massachusetts</td>\n",
              "      <td>2007-07-12</td>\n",
              "      <td>1086222</td>\n",
              "      <td>1998</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Alaska Air Group Inc</td>\n",
              "      <td>ALK</td>\n",
              "      <td>reports</td>\n",
              "      <td>Industrials</td>\n",
              "      <td>Airlines</td>\n",
              "      <td>Seattle, Washington</td>\n",
              "      <td>2016-05-13</td>\n",
              "      <td>766421</td>\n",
              "      <td>1985</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Albemarle Corp</td>\n",
              "      <td>ALB</td>\n",
              "      <td>reports</td>\n",
              "      <td>Materials</td>\n",
              "      <td>Specialty Chemicals</td>\n",
              "      <td>Baton Rouge, Louisiana</td>\n",
              "      <td>2016-07-01</td>\n",
              "      <td>915913</td>\n",
              "      <td>1994</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Alexandria Real Estate Equities Inc</td>\n",
              "      <td>ARE</td>\n",
              "      <td>reports</td>\n",
              "      <td>Real Estate</td>\n",
              "      <td>Office REITs</td>\n",
              "      <td>Pasadena, California</td>\n",
              "      <td>2017-03-20</td>\n",
              "      <td>1035443</td>\n",
              "      <td>1994</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Alexion Pharmaceuticals</td>\n",
              "      <td>ALXN</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Biotechnology</td>\n",
              "      <td>Cheshire, Connecticut</td>\n",
              "      <td>2012-05-25</td>\n",
              "      <td>899866</td>\n",
              "      <td>1992</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Align Technology</td>\n",
              "      <td>ALGN</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Health Care Supplies</td>\n",
              "      <td>San Jose, California</td>\n",
              "      <td>2017-06-19</td>\n",
              "      <td>1097149</td>\n",
              "      <td>1997</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>Allegion</td>\n",
              "      <td>ALLE</td>\n",
              "      <td>reports</td>\n",
              "      <td>Industrials</td>\n",
              "      <td>Building Products</td>\n",
              "      <td>Dublin, Ireland</td>\n",
              "      <td>2013-12-02</td>\n",
              "      <td>1579241</td>\n",
              "      <td>1908</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>Allergan, Plc</td>\n",
              "      <td>AGN</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Pharmaceuticals</td>\n",
              "      <td>Dublin, Ireland</td>\n",
              "      <td>1999-04-12</td>\n",
              "      <td>1578845</td>\n",
              "      <td>1983</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>Alliance Data Systems</td>\n",
              "      <td>ADS</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Data Processing &amp; Outsourced Services</td>\n",
              "      <td>Plano, Texas</td>\n",
              "      <td>2013-12-23</td>\n",
              "      <td>1101215</td>\n",
              "      <td>1996</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>Alliant Energy Corp</td>\n",
              "      <td>LNT</td>\n",
              "      <td>reports</td>\n",
              "      <td>Utilities</td>\n",
              "      <td>Electric Utilities</td>\n",
              "      <td>Madison, Wisconsin</td>\n",
              "      <td>2016-07-01</td>\n",
              "      <td>352541</td>\n",
              "      <td>1917</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>Allstate Corp</td>\n",
              "      <td>ALL</td>\n",
              "      <td>reports</td>\n",
              "      <td>Financials</td>\n",
              "      <td>Property &amp; Casualty Insurance</td>\n",
              "      <td>Northfield Township, Illinois</td>\n",
              "      <td>1995-07-13</td>\n",
              "      <td>899051</td>\n",
              "      <td>1931</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>Alphabet Inc Class A</td>\n",
              "      <td>GOOGL</td>\n",
              "      <td>reports</td>\n",
              "      <td>Communication Services</td>\n",
              "      <td>Interactive Media &amp; Services</td>\n",
              "      <td>Mountain View, California</td>\n",
              "      <td>2014-04-03</td>\n",
              "      <td>1652044</td>\n",
              "      <td>1998</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>Alphabet Inc Class C</td>\n",
              "      <td>GOOG</td>\n",
              "      <td>reports</td>\n",
              "      <td>Communication Services</td>\n",
              "      <td>Interactive Media &amp; Services</td>\n",
              "      <td>Mountain View, California</td>\n",
              "      <td>2006-04-03</td>\n",
              "      <td>1652044</td>\n",
              "      <td>1998</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>Altria Group Inc</td>\n",
              "      <td>MO</td>\n",
              "      <td>reports</td>\n",
              "      <td>Consumer Staples</td>\n",
              "      <td>Tobacco</td>\n",
              "      <td>Richmond, Virginia</td>\n",
              "      <td>NaN</td>\n",
              "      <td>764180</td>\n",
              "      <td>1985</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>Amazon.com Inc.</td>\n",
              "      <td>AMZN</td>\n",
              "      <td>reports</td>\n",
              "      <td>Consumer Discretionary</td>\n",
              "      <td>Internet &amp; Direct Marketing Retail</td>\n",
              "      <td>Seattle, Washington</td>\n",
              "      <td>2005-11-18</td>\n",
              "      <td>1018724</td>\n",
              "      <td>1994</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>Ameren Corp</td>\n",
              "      <td>AEE</td>\n",
              "      <td>reports</td>\n",
              "      <td>Utilities</td>\n",
              "      <td>Multi-Utilities</td>\n",
              "      <td>St. Louis, Missouri</td>\n",
              "      <td>1991-09-19</td>\n",
              "      <td>1002910</td>\n",
              "      <td>1902</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>475</th>\n",
              "      <td>Vertex Pharmaceuticals Inc</td>\n",
              "      <td>VRTX</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Biotechnology</td>\n",
              "      <td>Cambridge, Massachusetts</td>\n",
              "      <td>2013-09-23</td>\n",
              "      <td>875320</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>476</th>\n",
              "      <td>Viacom Inc.</td>\n",
              "      <td>VIAB</td>\n",
              "      <td>reports</td>\n",
              "      <td>Communication Services</td>\n",
              "      <td>Movies &amp; Entertainment</td>\n",
              "      <td>New York, New York</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1339947</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>477</th>\n",
              "      <td>Visa Inc.</td>\n",
              "      <td>V</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Internet Software &amp; Services</td>\n",
              "      <td>San Francisco, California</td>\n",
              "      <td>2009-12-21</td>\n",
              "      <td>1403161</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>478</th>\n",
              "      <td>Vornado Realty Trust</td>\n",
              "      <td>VNO</td>\n",
              "      <td>reports</td>\n",
              "      <td>Real Estate</td>\n",
              "      <td>Office REITs</td>\n",
              "      <td>New York, New York</td>\n",
              "      <td>NaN</td>\n",
              "      <td>899689</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>479</th>\n",
              "      <td>Vulcan Materials</td>\n",
              "      <td>VMC</td>\n",
              "      <td>reports</td>\n",
              "      <td>Materials</td>\n",
              "      <td>Construction Materials</td>\n",
              "      <td>Birmingham, Alabama</td>\n",
              "      <td>1999-06-30</td>\n",
              "      <td>1396009</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>480</th>\n",
              "      <td>Walmart</td>\n",
              "      <td>WMT</td>\n",
              "      <td>reports</td>\n",
              "      <td>Consumer Staples</td>\n",
              "      <td>Hypermarkets &amp; Super Centers</td>\n",
              "      <td>Bentonville, Arkansas</td>\n",
              "      <td>1982-08-31</td>\n",
              "      <td>104169</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>481</th>\n",
              "      <td>Walgreens Boots Alliance</td>\n",
              "      <td>WBA</td>\n",
              "      <td>reports</td>\n",
              "      <td>Consumer Staples</td>\n",
              "      <td>Drug Retail</td>\n",
              "      <td>Deerfield, Illinois</td>\n",
              "      <td>1979-12-31</td>\n",
              "      <td>1618921</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>482</th>\n",
              "      <td>The Walt Disney Company</td>\n",
              "      <td>DIS</td>\n",
              "      <td>reports</td>\n",
              "      <td>Communication Services</td>\n",
              "      <td>Movies &amp; Entertainment</td>\n",
              "      <td>Burbank, California</td>\n",
              "      <td>1976-06-30</td>\n",
              "      <td>1001039</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>483</th>\n",
              "      <td>Waste Management Inc.</td>\n",
              "      <td>WM</td>\n",
              "      <td>reports</td>\n",
              "      <td>Industrials</td>\n",
              "      <td>Environmental &amp; Facilities Services</td>\n",
              "      <td>Houston, Texas</td>\n",
              "      <td>NaN</td>\n",
              "      <td>823768</td>\n",
              "      <td>1968</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>484</th>\n",
              "      <td>Waters Corporation</td>\n",
              "      <td>WAT</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Health Care Distributors</td>\n",
              "      <td>Milford, Massachusetts</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1000697</td>\n",
              "      <td>1958</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>485</th>\n",
              "      <td>Wec Energy Group Inc</td>\n",
              "      <td>WEC</td>\n",
              "      <td>reports</td>\n",
              "      <td>Utilities</td>\n",
              "      <td>Electric Utilities</td>\n",
              "      <td>Milwaukee, Wisconsin</td>\n",
              "      <td>2008-10-31</td>\n",
              "      <td>783325</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>486</th>\n",
              "      <td>WellCare</td>\n",
              "      <td>WCG</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Managed Health Care</td>\n",
              "      <td>Tampa, Florida</td>\n",
              "      <td>1985</td>\n",
              "      <td>1279363</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>487</th>\n",
              "      <td>Wells Fargo</td>\n",
              "      <td>WFC</td>\n",
              "      <td>reports</td>\n",
              "      <td>Financials</td>\n",
              "      <td>Diversified Banks</td>\n",
              "      <td>San Francisco, California</td>\n",
              "      <td>1976-06-30</td>\n",
              "      <td>72971</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>488</th>\n",
              "      <td>Welltower Inc.</td>\n",
              "      <td>WELL</td>\n",
              "      <td>reports</td>\n",
              "      <td>Real Estate</td>\n",
              "      <td>Health Care REITs</td>\n",
              "      <td>Toledo, Ohio</td>\n",
              "      <td>2009-01-30</td>\n",
              "      <td>766704</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>489</th>\n",
              "      <td>Western Digital</td>\n",
              "      <td>WDC</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Technology Hardware, Storage &amp; Peripherals</td>\n",
              "      <td>Irvine, California</td>\n",
              "      <td>2009-07-01</td>\n",
              "      <td>106040</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>490</th>\n",
              "      <td>Western Union Co</td>\n",
              "      <td>WU</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Internet Software &amp; Services</td>\n",
              "      <td>Englewood, Colorado</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1365135</td>\n",
              "      <td>1851</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>491</th>\n",
              "      <td>WestRock</td>\n",
              "      <td>WRK</td>\n",
              "      <td>reports</td>\n",
              "      <td>Materials</td>\n",
              "      <td>Paper Packaging</td>\n",
              "      <td>Richmond, Virginia</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1636023</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>492</th>\n",
              "      <td>Weyerhaeuser</td>\n",
              "      <td>WY</td>\n",
              "      <td>reports</td>\n",
              "      <td>Real Estate</td>\n",
              "      <td>Specialized REITs</td>\n",
              "      <td>Federal Way, Washington</td>\n",
              "      <td>NaN</td>\n",
              "      <td>106535</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>493</th>\n",
              "      <td>Whirlpool Corp.</td>\n",
              "      <td>WHR</td>\n",
              "      <td>reports</td>\n",
              "      <td>Consumer Discretionary</td>\n",
              "      <td>Household Appliances</td>\n",
              "      <td>Benton Harbor, Michigan</td>\n",
              "      <td>NaN</td>\n",
              "      <td>106640</td>\n",
              "      <td>1911</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>494</th>\n",
              "      <td>Williams Cos.</td>\n",
              "      <td>WMB</td>\n",
              "      <td>reports</td>\n",
              "      <td>Energy</td>\n",
              "      <td>Oil &amp; Gas Storage &amp; Transportation</td>\n",
              "      <td>Tulsa, Oklahoma</td>\n",
              "      <td>1975-03-31</td>\n",
              "      <td>107263</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>495</th>\n",
              "      <td>Willis Towers Watson</td>\n",
              "      <td>WLTW</td>\n",
              "      <td>reports</td>\n",
              "      <td>Financials</td>\n",
              "      <td>Insurance Brokers</td>\n",
              "      <td>London, United Kingdom</td>\n",
              "      <td>2016-01-05</td>\n",
              "      <td>1140536</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>496</th>\n",
              "      <td>Wynn Resorts Ltd</td>\n",
              "      <td>WYNN</td>\n",
              "      <td>reports</td>\n",
              "      <td>Consumer Discretionary</td>\n",
              "      <td>Casinos &amp; Gaming</td>\n",
              "      <td>Paradise, Nevada</td>\n",
              "      <td>2008-11-14</td>\n",
              "      <td>1174922</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>497</th>\n",
              "      <td>Xcel Energy Inc</td>\n",
              "      <td>XEL</td>\n",
              "      <td>reports</td>\n",
              "      <td>Utilities</td>\n",
              "      <td>Multi-Utilities</td>\n",
              "      <td>Minneapolis, Minnesota</td>\n",
              "      <td>NaN</td>\n",
              "      <td>72903</td>\n",
              "      <td>1909</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>498</th>\n",
              "      <td>Xerox</td>\n",
              "      <td>XRX</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Technology Hardware, Storage &amp; Peripherals</td>\n",
              "      <td>Norwalk, Connecticut</td>\n",
              "      <td>NaN</td>\n",
              "      <td>108772</td>\n",
              "      <td>1906</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>499</th>\n",
              "      <td>Xilinx</td>\n",
              "      <td>XLNX</td>\n",
              "      <td>reports</td>\n",
              "      <td>Information Technology</td>\n",
              "      <td>Semiconductors</td>\n",
              "      <td>San Jose, California</td>\n",
              "      <td>1999-11-08</td>\n",
              "      <td>743988</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>500</th>\n",
              "      <td>Xylem Inc.</td>\n",
              "      <td>XYL</td>\n",
              "      <td>reports</td>\n",
              "      <td>Industrials</td>\n",
              "      <td>Industrial Machinery</td>\n",
              "      <td>White Plains, New York</td>\n",
              "      <td>2011-11-01</td>\n",
              "      <td>1524472</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>501</th>\n",
              "      <td>Yum! Brands Inc</td>\n",
              "      <td>YUM</td>\n",
              "      <td>reports</td>\n",
              "      <td>Consumer Discretionary</td>\n",
              "      <td>Restaurants</td>\n",
              "      <td>Louisville, Kentucky</td>\n",
              "      <td>1997-10-06</td>\n",
              "      <td>1041061</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>502</th>\n",
              "      <td>Zimmer Biomet Holdings</td>\n",
              "      <td>ZBH</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Health Care Equipment</td>\n",
              "      <td>Warsaw, Indiana</td>\n",
              "      <td>2001-08-07</td>\n",
              "      <td>1136869</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>503</th>\n",
              "      <td>Zions Bancorp</td>\n",
              "      <td>ZION</td>\n",
              "      <td>reports</td>\n",
              "      <td>Financials</td>\n",
              "      <td>Regional Banks</td>\n",
              "      <td>Salt Lake City, Utah</td>\n",
              "      <td>2001-06-22</td>\n",
              "      <td>109380</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>504</th>\n",
              "      <td>Zoetis</td>\n",
              "      <td>ZTS</td>\n",
              "      <td>reports</td>\n",
              "      <td>Health Care</td>\n",
              "      <td>Pharmaceuticals</td>\n",
              "      <td>Florham Park, New Jersey</td>\n",
              "      <td>2013-06-21</td>\n",
              "      <td>1555280</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>505 rows × 9 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                Security Symbol SEC filings  \\\n",
              "0                             3M Company    MMM     reports   \n",
              "1                    Abbott Laboratories    ABT     reports   \n",
              "2                            AbbVie Inc.   ABBV     reports   \n",
              "3                            ABIOMED Inc   ABMD     reports   \n",
              "4                          Accenture plc    ACN     reports   \n",
              "5                    Activision Blizzard   ATVI     reports   \n",
              "6                      Adobe Systems Inc   ADBE     reports   \n",
              "7             Advanced Micro Devices Inc    AMD     reports   \n",
              "8                     Advance Auto Parts    AAP     reports   \n",
              "9                               AES Corp    AES     reports   \n",
              "10         Affiliated Managers Group Inc    AMG     reports   \n",
              "11                             AFLAC Inc    AFL     reports   \n",
              "12              Agilent Technologies Inc      A     reports   \n",
              "13          Air Products & Chemicals Inc    APD     reports   \n",
              "14               Akamai Technologies Inc   AKAM     reports   \n",
              "15                  Alaska Air Group Inc    ALK     reports   \n",
              "16                        Albemarle Corp    ALB     reports   \n",
              "17   Alexandria Real Estate Equities Inc    ARE     reports   \n",
              "18               Alexion Pharmaceuticals   ALXN     reports   \n",
              "19                      Align Technology   ALGN     reports   \n",
              "20                              Allegion   ALLE     reports   \n",
              "21                         Allergan, Plc    AGN     reports   \n",
              "22                 Alliance Data Systems    ADS     reports   \n",
              "23                   Alliant Energy Corp    LNT     reports   \n",
              "24                         Allstate Corp    ALL     reports   \n",
              "25                  Alphabet Inc Class A  GOOGL     reports   \n",
              "26                  Alphabet Inc Class C   GOOG     reports   \n",
              "27                      Altria Group Inc     MO     reports   \n",
              "28                       Amazon.com Inc.   AMZN     reports   \n",
              "29                           Ameren Corp    AEE     reports   \n",
              "..                                   ...    ...         ...   \n",
              "475           Vertex Pharmaceuticals Inc   VRTX     reports   \n",
              "476                          Viacom Inc.   VIAB     reports   \n",
              "477                            Visa Inc.      V     reports   \n",
              "478                 Vornado Realty Trust    VNO     reports   \n",
              "479                     Vulcan Materials    VMC     reports   \n",
              "480                              Walmart    WMT     reports   \n",
              "481             Walgreens Boots Alliance    WBA     reports   \n",
              "482              The Walt Disney Company    DIS     reports   \n",
              "483                Waste Management Inc.     WM     reports   \n",
              "484                   Waters Corporation    WAT     reports   \n",
              "485                 Wec Energy Group Inc    WEC     reports   \n",
              "486                             WellCare    WCG     reports   \n",
              "487                          Wells Fargo    WFC     reports   \n",
              "488                       Welltower Inc.   WELL     reports   \n",
              "489                      Western Digital    WDC     reports   \n",
              "490                     Western Union Co     WU     reports   \n",
              "491                             WestRock    WRK     reports   \n",
              "492                         Weyerhaeuser     WY     reports   \n",
              "493                      Whirlpool Corp.    WHR     reports   \n",
              "494                        Williams Cos.    WMB     reports   \n",
              "495                 Willis Towers Watson   WLTW     reports   \n",
              "496                     Wynn Resorts Ltd   WYNN     reports   \n",
              "497                      Xcel Energy Inc    XEL     reports   \n",
              "498                                Xerox    XRX     reports   \n",
              "499                               Xilinx   XLNX     reports   \n",
              "500                           Xylem Inc.    XYL     reports   \n",
              "501                      Yum! Brands Inc    YUM     reports   \n",
              "502               Zimmer Biomet Holdings    ZBH     reports   \n",
              "503                        Zions Bancorp   ZION     reports   \n",
              "504                               Zoetis    ZTS     reports   \n",
              "\n",
              "                GICS Sector                             GICS Sub Industry  \\\n",
              "0               Industrials                      Industrial Conglomerates   \n",
              "1               Health Care                         Health Care Equipment   \n",
              "2               Health Care                               Pharmaceuticals   \n",
              "3               Health Care                         Health Care Equipment   \n",
              "4    Information Technology                IT Consulting & Other Services   \n",
              "5    Communication Services                Interactive Home Entertainment   \n",
              "6    Information Technology                          Application Software   \n",
              "7    Information Technology                                Semiconductors   \n",
              "8    Consumer Discretionary                             Automotive Retail   \n",
              "9                 Utilities  Independent Power Producers & Energy Traders   \n",
              "10               Financials              Asset Management & Custody Banks   \n",
              "11               Financials                       Life & Health Insurance   \n",
              "12              Health Care                         Health Care Equipment   \n",
              "13                Materials                              Industrial Gases   \n",
              "14   Information Technology            Internet Services & Infrastructure   \n",
              "15              Industrials                                      Airlines   \n",
              "16                Materials                           Specialty Chemicals   \n",
              "17              Real Estate                                  Office REITs   \n",
              "18              Health Care                                 Biotechnology   \n",
              "19              Health Care                          Health Care Supplies   \n",
              "20              Industrials                             Building Products   \n",
              "21              Health Care                               Pharmaceuticals   \n",
              "22   Information Technology         Data Processing & Outsourced Services   \n",
              "23                Utilities                            Electric Utilities   \n",
              "24               Financials                 Property & Casualty Insurance   \n",
              "25   Communication Services                  Interactive Media & Services   \n",
              "26   Communication Services                  Interactive Media & Services   \n",
              "27         Consumer Staples                                       Tobacco   \n",
              "28   Consumer Discretionary            Internet & Direct Marketing Retail   \n",
              "29                Utilities                               Multi-Utilities   \n",
              "..                      ...                                           ...   \n",
              "475             Health Care                                 Biotechnology   \n",
              "476  Communication Services                        Movies & Entertainment   \n",
              "477  Information Technology                  Internet Software & Services   \n",
              "478             Real Estate                                  Office REITs   \n",
              "479               Materials                        Construction Materials   \n",
              "480        Consumer Staples                  Hypermarkets & Super Centers   \n",
              "481        Consumer Staples                                   Drug Retail   \n",
              "482  Communication Services                        Movies & Entertainment   \n",
              "483             Industrials           Environmental & Facilities Services   \n",
              "484             Health Care                      Health Care Distributors   \n",
              "485               Utilities                            Electric Utilities   \n",
              "486             Health Care                           Managed Health Care   \n",
              "487              Financials                             Diversified Banks   \n",
              "488             Real Estate                             Health Care REITs   \n",
              "489  Information Technology    Technology Hardware, Storage & Peripherals   \n",
              "490  Information Technology                  Internet Software & Services   \n",
              "491               Materials                               Paper Packaging   \n",
              "492             Real Estate                             Specialized REITs   \n",
              "493  Consumer Discretionary                          Household Appliances   \n",
              "494                  Energy            Oil & Gas Storage & Transportation   \n",
              "495              Financials                             Insurance Brokers   \n",
              "496  Consumer Discretionary                              Casinos & Gaming   \n",
              "497               Utilities                               Multi-Utilities   \n",
              "498  Information Technology    Technology Hardware, Storage & Peripherals   \n",
              "499  Information Technology                                Semiconductors   \n",
              "500             Industrials                          Industrial Machinery   \n",
              "501  Consumer Discretionary                                   Restaurants   \n",
              "502             Health Care                         Health Care Equipment   \n",
              "503              Financials                                Regional Banks   \n",
              "504             Health Care                               Pharmaceuticals   \n",
              "\n",
              "             Headquarters Location Date first added[3][4]      CIK  \\\n",
              "0              St. Paul, Minnesota                    NaN    66740   \n",
              "1          North Chicago, Illinois             1964-03-31     1800   \n",
              "2          North Chicago, Illinois             2012-12-31  1551152   \n",
              "3           Danvers, Massachusetts             2018-05-31   815094   \n",
              "4                  Dublin, Ireland             2011-07-06  1467373   \n",
              "5         Santa Monica, California             2015-08-31   718877   \n",
              "6             San Jose, California             1997-05-05   796343   \n",
              "7            Sunnyvale, California             2017-03-20     2488   \n",
              "8                Roanoke, Virginia             2015-07-09  1158449   \n",
              "9              Arlington, Virginia             1998-10-02   874761   \n",
              "10          Beverly, Massachusetts             2014-07-01  1004434   \n",
              "11               Columbus, Georgia             1999-05-28     4977   \n",
              "12         Santa Clara, California             2000-06-05  1090872   \n",
              "13         Allentown, Pennsylvania             1985-04-30     2969   \n",
              "14        Cambridge, Massachusetts             2007-07-12  1086222   \n",
              "15             Seattle, Washington             2016-05-13   766421   \n",
              "16          Baton Rouge, Louisiana             2016-07-01   915913   \n",
              "17            Pasadena, California             2017-03-20  1035443   \n",
              "18           Cheshire, Connecticut             2012-05-25   899866   \n",
              "19            San Jose, California             2017-06-19  1097149   \n",
              "20                 Dublin, Ireland             2013-12-02  1579241   \n",
              "21                 Dublin, Ireland             1999-04-12  1578845   \n",
              "22                    Plano, Texas             2013-12-23  1101215   \n",
              "23              Madison, Wisconsin             2016-07-01   352541   \n",
              "24   Northfield Township, Illinois             1995-07-13   899051   \n",
              "25       Mountain View, California             2014-04-03  1652044   \n",
              "26       Mountain View, California             2006-04-03  1652044   \n",
              "27              Richmond, Virginia                    NaN   764180   \n",
              "28             Seattle, Washington             2005-11-18  1018724   \n",
              "29             St. Louis, Missouri             1991-09-19  1002910   \n",
              "..                             ...                    ...      ...   \n",
              "475       Cambridge, Massachusetts             2013-09-23   875320   \n",
              "476             New York, New York                    NaN  1339947   \n",
              "477      San Francisco, California             2009-12-21  1403161   \n",
              "478             New York, New York                    NaN   899689   \n",
              "479            Birmingham, Alabama             1999-06-30  1396009   \n",
              "480          Bentonville, Arkansas             1982-08-31   104169   \n",
              "481            Deerfield, Illinois             1979-12-31  1618921   \n",
              "482            Burbank, California             1976-06-30  1001039   \n",
              "483                 Houston, Texas                    NaN   823768   \n",
              "484         Milford, Massachusetts                    NaN  1000697   \n",
              "485           Milwaukee, Wisconsin             2008-10-31   783325   \n",
              "486                 Tampa, Florida                   1985  1279363   \n",
              "487      San Francisco, California             1976-06-30    72971   \n",
              "488                   Toledo, Ohio             2009-01-30   766704   \n",
              "489             Irvine, California             2009-07-01   106040   \n",
              "490            Englewood, Colorado                    NaN  1365135   \n",
              "491             Richmond, Virginia                    NaN  1636023   \n",
              "492        Federal Way, Washington                    NaN   106535   \n",
              "493        Benton Harbor, Michigan                    NaN   106640   \n",
              "494                Tulsa, Oklahoma             1975-03-31   107263   \n",
              "495         London, United Kingdom             2016-01-05  1140536   \n",
              "496               Paradise, Nevada             2008-11-14  1174922   \n",
              "497         Minneapolis, Minnesota                    NaN    72903   \n",
              "498           Norwalk, Connecticut                    NaN   108772   \n",
              "499           San Jose, California             1999-11-08   743988   \n",
              "500         White Plains, New York             2011-11-01  1524472   \n",
              "501           Louisville, Kentucky             1997-10-06  1041061   \n",
              "502                Warsaw, Indiana             2001-08-07  1136869   \n",
              "503           Salt Lake City, Utah             2001-06-22   109380   \n",
              "504       Florham Park, New Jersey             2013-06-21  1555280   \n",
              "\n",
              "         Founded  \n",
              "0           1902  \n",
              "1           1888  \n",
              "2    2013 (1888)  \n",
              "3           1981  \n",
              "4           1989  \n",
              "5           2008  \n",
              "6           1982  \n",
              "7           1969  \n",
              "8           1932  \n",
              "9           1981  \n",
              "10          1993  \n",
              "11          1955  \n",
              "12          1999  \n",
              "13          1940  \n",
              "14          1998  \n",
              "15          1985  \n",
              "16          1994  \n",
              "17          1994  \n",
              "18          1992  \n",
              "19          1997  \n",
              "20          1908  \n",
              "21          1983  \n",
              "22          1996  \n",
              "23          1917  \n",
              "24          1931  \n",
              "25          1998  \n",
              "26          1998  \n",
              "27          1985  \n",
              "28          1994  \n",
              "29          1902  \n",
              "..           ...  \n",
              "475          NaN  \n",
              "476          NaN  \n",
              "477          NaN  \n",
              "478          NaN  \n",
              "479          NaN  \n",
              "480          NaN  \n",
              "481          NaN  \n",
              "482          NaN  \n",
              "483         1968  \n",
              "484         1958  \n",
              "485          NaN  \n",
              "486          NaN  \n",
              "487          NaN  \n",
              "488          NaN  \n",
              "489          NaN  \n",
              "490         1851  \n",
              "491          NaN  \n",
              "492          NaN  \n",
              "493         1911  \n",
              "494          NaN  \n",
              "495          NaN  \n",
              "496          NaN  \n",
              "497         1909  \n",
              "498         1906  \n",
              "499          NaN  \n",
              "500          NaN  \n",
              "501          NaN  \n",
              "502          NaN  \n",
              "503          NaN  \n",
              "504          NaN  \n",
              "\n[505 rows x 9 columns]"
            ]
          },
          "metadata": {}
        }
      ],
      "execution_count": 6,
      "metadata": {
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      "source": [
        "output = {}\n",
        "start = '2017-01-01'\n",
        "end = '2017-12-31'\n",
        "for ticker in sp500['Symbol'][:200]:\n",
        "    try:\n",
        "        output[ticker] = yf.download(ticker, start, end)['Adj Close']\n",
        "    except:\n",
        "        continue\n",
        "df_sp500 = pd.DataFrame(output)\n",
        "df_sp500.head()"
      ],
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[*********************100%***********************]  1 of 1 downloaded\n",
            "[*********************100%***********************]  1 of 1 downloaded\n",
            "[*********************100%***********************]  1 of 1 downloaded\n",
            "[*********************100%***********************]  1 of 1 downloaded\n",
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            "[*********************100%***********************]  1 of 1 downloaded\n",
            "[*********************100%***********************]  1 of 1 downloaded\n",
            "[*********************100%***********************]  1 of 1 downloaded\n",
            "[*********************100%***********************]  1 of 1 downloaded\n",
            "[*********************100%***********************]  1 of 1 downloaded\n"
          ]
        },
        {
          "output_type": "execute_result",
          "execution_count": 7,
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>A</th>\n",
              "      <th>AAL</th>\n",
              "      <th>AAP</th>\n",
              "      <th>AAPL</th>\n",
              "      <th>ABBV</th>\n",
              "      <th>ABC</th>\n",
              "      <th>ABMD</th>\n",
              "      <th>ABT</th>\n",
              "      <th>ACN</th>\n",
              "      <th>ADBE</th>\n",
              "      <th>...</th>\n",
              "      <th>LNT</th>\n",
              "      <th>MMM</th>\n",
              "      <th>MO</th>\n",
              "      <th>RE</th>\n",
              "      <th>SCHW</th>\n",
              "      <th>STZ</th>\n",
              "      <th>T</th>\n",
              "      <th>XEC</th>\n",
              "      <th>XOM</th>\n",
              "      <th>XRAY</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2017-01-03</th>\n",
              "      <td>45.651554</td>\n",
              "      <td>45.464691</td>\n",
              "      <td>169.950409</td>\n",
              "      <td>112.620964</td>\n",
              "      <td>57.250782</td>\n",
              "      <td>79.790779</td>\n",
              "      <td>112.360001</td>\n",
              "      <td>37.304741</td>\n",
              "      <td>112.135040</td>\n",
              "      <td>103.480003</td>\n",
              "      <td>...</td>\n",
              "      <td>35.309452</td>\n",
              "      <td>169.468918</td>\n",
              "      <td>61.948483</td>\n",
              "      <td>206.672363</td>\n",
              "      <td>39.439106</td>\n",
              "      <td>151.139526</td>\n",
              "      <td>38.050098</td>\n",
              "      <td>137.524750</td>\n",
              "      <td>84.072838</td>\n",
              "      <td>57.721180</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2017-01-04</th>\n",
              "      <td>46.250557</td>\n",
              "      <td>45.857471</td>\n",
              "      <td>171.345078</td>\n",
              "      <td>112.494911</td>\n",
              "      <td>58.058044</td>\n",
              "      <td>81.770821</td>\n",
              "      <td>115.739998</td>\n",
              "      <td>37.600883</td>\n",
              "      <td>112.404648</td>\n",
              "      <td>104.139999</td>\n",
              "      <td>...</td>\n",
              "      <td>35.523552</td>\n",
              "      <td>169.725876</td>\n",
              "      <td>62.150005</td>\n",
              "      <td>208.356049</td>\n",
              "      <td>40.439804</td>\n",
              "      <td>154.303955</td>\n",
              "      <td>37.828979</td>\n",
              "      <td>137.237381</td>\n",
              "      <td>83.147842</td>\n",
              "      <td>58.193813</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2017-01-05</th>\n",
              "      <td>45.700653</td>\n",
              "      <td>45.062084</td>\n",
              "      <td>171.225510</td>\n",
              "      <td>113.066986</td>\n",
              "      <td>58.498356</td>\n",
              "      <td>80.824257</td>\n",
              "      <td>114.809998</td>\n",
              "      <td>37.925690</td>\n",
              "      <td>110.719650</td>\n",
              "      <td>105.910004</td>\n",
              "      <td>...</td>\n",
              "      <td>35.477016</td>\n",
              "      <td>169.145309</td>\n",
              "      <td>62.223289</td>\n",
              "      <td>208.336899</td>\n",
              "      <td>40.194534</td>\n",
              "      <td>143.326172</td>\n",
              "      <td>37.722847</td>\n",
              "      <td>138.832718</td>\n",
              "      <td>81.908348</td>\n",
              "      <td>57.435627</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2017-01-06</th>\n",
              "      <td>47.124500</td>\n",
              "      <td>45.376312</td>\n",
              "      <td>168.984100</td>\n",
              "      <td>114.327484</td>\n",
              "      <td>58.516705</td>\n",
              "      <td>81.906044</td>\n",
              "      <td>115.419998</td>\n",
              "      <td>38.957420</td>\n",
              "      <td>111.980995</td>\n",
              "      <td>108.300003</td>\n",
              "      <td>...</td>\n",
              "      <td>35.188435</td>\n",
              "      <td>169.640244</td>\n",
              "      <td>62.498093</td>\n",
              "      <td>209.331818</td>\n",
              "      <td>40.449615</td>\n",
              "      <td>145.953415</td>\n",
              "      <td>36.971249</td>\n",
              "      <td>138.733627</td>\n",
              "      <td>81.862099</td>\n",
              "      <td>57.396240</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2017-01-09</th>\n",
              "      <td>47.271793</td>\n",
              "      <td>46.230621</td>\n",
              "      <td>168.884491</td>\n",
              "      <td>115.374664</td>\n",
              "      <td>58.901985</td>\n",
              "      <td>82.562836</td>\n",
              "      <td>117.110001</td>\n",
              "      <td>38.919216</td>\n",
              "      <td>110.729271</td>\n",
              "      <td>108.570000</td>\n",
              "      <td>...</td>\n",
              "      <td>34.704357</td>\n",
              "      <td>168.726486</td>\n",
              "      <td>62.241611</td>\n",
              "      <td>207.562042</td>\n",
              "      <td>40.341698</td>\n",
              "      <td>146.764053</td>\n",
              "      <td>36.505978</td>\n",
              "      <td>138.089554</td>\n",
              "      <td>80.511604</td>\n",
              "      <td>57.573483</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 199 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                    A        AAL         AAP        AAPL       ABBV  \\\n",
              "Date                                                                  \n",
              "2017-01-03  45.651554  45.464691  169.950409  112.620964  57.250782   \n",
              "2017-01-04  46.250557  45.857471  171.345078  112.494911  58.058044   \n",
              "2017-01-05  45.700653  45.062084  171.225510  113.066986  58.498356   \n",
              "2017-01-06  47.124500  45.376312  168.984100  114.327484  58.516705   \n",
              "2017-01-09  47.271793  46.230621  168.884491  115.374664  58.901985   \n",
              "\n",
              "                  ABC        ABMD        ABT         ACN        ADBE  \\\n",
              "Date                                                                   \n",
              "2017-01-03  79.790779  112.360001  37.304741  112.135040  103.480003   \n",
              "2017-01-04  81.770821  115.739998  37.600883  112.404648  104.139999   \n",
              "2017-01-05  80.824257  114.809998  37.925690  110.719650  105.910004   \n",
              "2017-01-06  81.906044  115.419998  38.957420  111.980995  108.300003   \n",
              "2017-01-09  82.562836  117.110001  38.919216  110.729271  108.570000   \n",
              "\n",
              "              ...            LNT         MMM         MO          RE  \\\n",
              "Date          ...                                                     \n",
              "2017-01-03    ...      35.309452  169.468918  61.948483  206.672363   \n",
              "2017-01-04    ...      35.523552  169.725876  62.150005  208.356049   \n",
              "2017-01-05    ...      35.477016  169.145309  62.223289  208.336899   \n",
              "2017-01-06    ...      35.188435  169.640244  62.498093  209.331818   \n",
              "2017-01-09    ...      34.704357  168.726486  62.241611  207.562042   \n",
              "\n",
              "                 SCHW         STZ          T         XEC        XOM       XRAY  \n",
              "Date                                                                            \n",
              "2017-01-03  39.439106  151.139526  38.050098  137.524750  84.072838  57.721180  \n",
              "2017-01-04  40.439804  154.303955  37.828979  137.237381  83.147842  58.193813  \n",
              "2017-01-05  40.194534  143.326172  37.722847  138.832718  81.908348  57.435627  \n",
              "2017-01-06  40.449615  145.953415  36.971249  138.733627  81.862099  57.396240  \n",
              "2017-01-09  40.341698  146.764053  36.505978  138.089554  80.511604  57.573483  \n",
              "\n[5 rows x 199 columns]"
            ]
          },
          "metadata": {}
        }
      ],
      "execution_count": 7,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "stock_return_sp500 = df_sp500.apply(lambda x: x / x[0])\n",
        "stock_return_sp500.plot(grid = True)"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 8,
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x24f7b46e7b8>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": [
              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\n"
            ],
            "text/plain": [
              "<matplotlib.figure.Figure at 0x24f7b46b2e8>"
            ]
          },
          "metadata": {}
        }
      ],
      "execution_count": 8,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "stock_return_sp500.ix[-1,stock_return_sp500.ix[-1,:]>2]"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 9,
          "data": {
            "text/plain": [
              "ALGN    2.291564\n",
              "ANET    2.427159\n",
              "Name: 2017-12-29 00:00:00, dtype: float64"
            ]
          },
          "metadata": {}
        }
      ],
      "execution_count": 9,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from IPython.display import clear_output\n",
        "\n",
        "# Retrieve daily stock prices in 2017\n",
        "start = '2017-01-01'\n",
        "end = '2017-12-31'\n",
        "\ndf = yf.download(symbols, start, end) #stored as pandas df"
      ],
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[*********************100%***********************]  505 of 505 downloaded\n"
          ]
        }
      ],
      "execution_count": 10,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 11,
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead tr th {\n",
              "        text-align: left;\n",
              "    }\n",
              "\n",
              "    .dataframe thead tr:last-of-type th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th colspan=\"10\" halign=\"left\">Open</th>\n",
              "      <th>...</th>\n",
              "      <th colspan=\"10\" halign=\"left\">Volume</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th>A</th>\n",
              "      <th>AAL</th>\n",
              "      <th>AAP</th>\n",
              "      <th>AAPL</th>\n",
              "      <th>ABBV</th>\n",
              "      <th>ABC</th>\n",
              "      <th>ABMD</th>\n",
              "      <th>ABT</th>\n",
              "      <th>ACN</th>\n",
              "      <th>ADBE</th>\n",
              "      <th>...</th>\n",
              "      <th>XEL</th>\n",
              "      <th>XLNX</th>\n",
              "      <th>XOM</th>\n",
              "      <th>XRAY</th>\n",
              "      <th>XRX</th>\n",
              "      <th>XYL</th>\n",
              "      <th>YUM</th>\n",
              "      <th>ZBH</th>\n",
              "      <th>ZION</th>\n",
              "      <th>ZTS</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2017-01-03</th>\n",
              "      <td>45.930000</td>\n",
              "      <td>47.279999</td>\n",
              "      <td>170.779999</td>\n",
              "      <td>115.800003</td>\n",
              "      <td>62.919998</td>\n",
              "      <td>78.510002</td>\n",
              "      <td>112.559998</td>\n",
              "      <td>38.630001</td>\n",
              "      <td>117.379997</td>\n",
              "      <td>103.430000</td>\n",
              "      <td>...</td>\n",
              "      <td>2065100</td>\n",
              "      <td>4127000</td>\n",
              "      <td>10360600</td>\n",
              "      <td>1778000</td>\n",
              "      <td>16111900</td>\n",
              "      <td>1596700</td>\n",
              "      <td>4793400</td>\n",
              "      <td>1381100</td>\n",
              "      <td>2896200</td>\n",
              "      <td>3579700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2017-01-04</th>\n",
              "      <td>46.930000</td>\n",
              "      <td>46.630001</td>\n",
              "      <td>170.369995</td>\n",
              "      <td>115.849998</td>\n",
              "      <td>62.639999</td>\n",
              "      <td>82.599998</td>\n",
              "      <td>113.019997</td>\n",
              "      <td>39.060001</td>\n",
              "      <td>116.910004</td>\n",
              "      <td>103.739998</td>\n",
              "      <td>...</td>\n",
              "      <td>2542600</td>\n",
              "      <td>3281700</td>\n",
              "      <td>9434200</td>\n",
              "      <td>978300</td>\n",
              "      <td>7687100</td>\n",
              "      <td>1703000</td>\n",
              "      <td>2835200</td>\n",
              "      <td>1502800</td>\n",
              "      <td>1907500</td>\n",
              "      <td>3316300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2017-01-05</th>\n",
              "      <td>47.049999</td>\n",
              "      <td>46.520000</td>\n",
              "      <td>170.869995</td>\n",
              "      <td>115.919998</td>\n",
              "      <td>63.380001</td>\n",
              "      <td>84.379997</td>\n",
              "      <td>115.900002</td>\n",
              "      <td>39.240002</td>\n",
              "      <td>116.980003</td>\n",
              "      <td>104.129997</td>\n",
              "      <td>...</td>\n",
              "      <td>2611900</td>\n",
              "      <td>2198000</td>\n",
              "      <td>14443200</td>\n",
              "      <td>1114500</td>\n",
              "      <td>7060200</td>\n",
              "      <td>1846000</td>\n",
              "      <td>4040000</td>\n",
              "      <td>1453900</td>\n",
              "      <td>2106000</td>\n",
              "      <td>2469100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2017-01-06</th>\n",
              "      <td>46.630001</td>\n",
              "      <td>45.849998</td>\n",
              "      <td>171.320007</td>\n",
              "      <td>116.779999</td>\n",
              "      <td>63.880001</td>\n",
              "      <td>83.529999</td>\n",
              "      <td>115.050003</td>\n",
              "      <td>39.700001</td>\n",
              "      <td>114.989998</td>\n",
              "      <td>105.980003</td>\n",
              "      <td>...</td>\n",
              "      <td>1707400</td>\n",
              "      <td>2381800</td>\n",
              "      <td>16518100</td>\n",
              "      <td>1169600</td>\n",
              "      <td>6171100</td>\n",
              "      <td>1561600</td>\n",
              "      <td>2863800</td>\n",
              "      <td>1821000</td>\n",
              "      <td>2149100</td>\n",
              "      <td>2845800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2017-01-09</th>\n",
              "      <td>48.009998</td>\n",
              "      <td>46.009998</td>\n",
              "      <td>170.059998</td>\n",
              "      <td>117.949997</td>\n",
              "      <td>63.799999</td>\n",
              "      <td>84.599998</td>\n",
              "      <td>115.620003</td>\n",
              "      <td>40.790001</td>\n",
              "      <td>116.139999</td>\n",
              "      <td>107.959999</td>\n",
              "      <td>...</td>\n",
              "      <td>1840100</td>\n",
              "      <td>3548500</td>\n",
              "      <td>13762300</td>\n",
              "      <td>950600</td>\n",
              "      <td>3802700</td>\n",
              "      <td>1090400</td>\n",
              "      <td>1935900</td>\n",
              "      <td>1128100</td>\n",
              "      <td>2104900</td>\n",
              "      <td>2123300</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 3006 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 Open                                                \\\n",
              "                    A        AAL         AAP        AAPL       ABBV   \n",
              "Date                                                                  \n",
              "2017-01-03  45.930000  47.279999  170.779999  115.800003  62.919998   \n",
              "2017-01-04  46.930000  46.630001  170.369995  115.849998  62.639999   \n",
              "2017-01-05  47.049999  46.520000  170.869995  115.919998  63.380001   \n",
              "2017-01-06  46.630001  45.849998  171.320007  116.779999  63.880001   \n",
              "2017-01-09  48.009998  46.009998  170.059998  117.949997  63.799999   \n",
              "\n",
              "                                                                       ...     \\\n",
              "                  ABC        ABMD        ABT         ACN        ADBE   ...      \n",
              "Date                                                                   ...      \n",
              "2017-01-03  78.510002  112.559998  38.630001  117.379997  103.430000   ...      \n",
              "2017-01-04  82.599998  113.019997  39.060001  116.910004  103.739998   ...      \n",
              "2017-01-05  84.379997  115.900002  39.240002  116.980003  104.129997   ...      \n",
              "2017-01-06  83.529999  115.050003  39.700001  114.989998  105.980003   ...      \n",
              "2017-01-09  84.599998  115.620003  40.790001  116.139999  107.959999   ...      \n",
              "\n",
              "             Volume                                                          \\\n",
              "                XEL     XLNX       XOM     XRAY       XRX      XYL      YUM   \n",
              "Date                                                                          \n",
              "2017-01-03  2065100  4127000  10360600  1778000  16111900  1596700  4793400   \n",
              "2017-01-04  2542600  3281700   9434200   978300   7687100  1703000  2835200   \n",
              "2017-01-05  2611900  2198000  14443200  1114500   7060200  1846000  4040000   \n",
              "2017-01-06  1707400  2381800  16518100  1169600   6171100  1561600  2863800   \n",
              "2017-01-09  1840100  3548500  13762300   950600   3802700  1090400  1935900   \n",
              "\n",
              "                                       \n",
              "                ZBH     ZION      ZTS  \n",
              "Date                                   \n",
              "2017-01-03  1381100  2896200  3579700  \n",
              "2017-01-04  1502800  1907500  3316300  \n",
              "2017-01-05  1453900  2106000  2469100  \n",
              "2017-01-06  1821000  2149100  2845800  \n",
              "2017-01-09  1128100  2104900  2123300  \n",
              "\n[5 rows x 3006 columns]"
            ]
          },
          "metadata": {}
        }
      ],
      "execution_count": 11,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.index"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 12,
          "data": {
            "text/plain": [
              "DatetimeIndex(['2017-01-03', '2017-01-04', '2017-01-05', '2017-01-06',\n",
              "               '2017-01-09', '2017-01-10', '2017-01-11', '2017-01-12',\n",
              "               '2017-01-13', '2017-01-17',\n",
              "               ...\n",
              "               '2017-12-15', '2017-12-18', '2017-12-19', '2017-12-20',\n",
              "               '2017-12-21', '2017-12-22', '2017-12-26', '2017-12-27',\n",
              "               '2017-12-28', '2017-12-29'],\n",
              "              dtype='datetime64[ns]', name='Date', length=251, freq=None)"
            ]
          },
          "metadata": {}
        }
      ],
      "execution_count": 12,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 13,
          "data": {
            "text/plain": [
              "MultiIndex(levels=[['Adj Close', 'Close', 'High', 'Low', 'Open', 'Volume'], ['A', 'AAL', 'AAP', 'AAPL', 'ABBV', 'ABC', 'ABMD', 'ABT', 'ACN', 'ADBE', 'ADI', 'ADM', 'ADP', 'ADS', 'ADSK', 'AEE', 'AEP', 'AES', 'AFL', 'AGN', 'AIG', 'AIV', 'AIZ', 'AJG', 'AKAM', 'ALB', 'ALGN', 'ALK', 'ALL', 'ALLE', 'ALXN', 'AMAT', 'AMD', 'AME', 'AMG', 'AMGN', 'AMP', 'AMT', 'AMZN', 'ANET', 'ANSS', 'ANTM', 'AON', 'AOS', 'APA', 'APC', 'APD', 'APH', 'APTV', 'ARE', 'ARNC', 'ATVI', 'AVB', 'AVGO', 'AVY', 'AWK', 'AXP', 'AZO', 'BA', 'BAC', 'BAX', 'BBT', 'BBY', 'BDX', 'BEN', 'BF-B', 'BHF', 'BHGE', 'BIIB', 'BK', 'BKNG', 'BLK', 'BLL', 'BMY', 'BR', 'BRK-B', 'BSX', 'BWA', 'BXP', 'C', 'CAG', 'CAH', 'CAT', 'CB', 'CBOE', 'CBRE', 'CBS', 'CCI', 'CCL', 'CDNS', 'CE', 'CELG', 'CERN', 'CF', 'CFG', 'CHD', 'CHRW', 'CHTR', 'CI', 'CINF', 'CL', 'CLX', 'CMA', 'CMCSA', 'CME', 'CMG', 'CMI', 'CMS', 'CNC', 'CNP', 'COF', 'COG', 'COO', 'COP', 'COST', 'COTY', 'CPB', 'CPRI', 'CPRT', 'CRM', 'CSCO', 'CSX', 'CTAS', 'CTL', 'CTSH', 'CTXS', 'CVS', 'CVX', 'CXO', 'D', 'DAL', 'DE', 'DFS', 'DG', 'DGX', 'DHI', 'DHR', 'DIS', 'DISCA', 'DISCK', 'DISH', 'DLR', 'DLTR', 'DOV', 'DRE', 'DRI', 'DTE', 'DUK', 'DVA', 'DVN', 'DWDP', 'DXC', 'EA', 'EBAY', 'ECL', 'ED', 'EFX', 'EIX', 'EL', 'EMN', 'EMR', 'EOG', 'EQIX', 'EQR', 'ES', 'ESS', 'ETFC', 'ETN', 'ETR', 'EVRG', 'EW', 'EXC', 'EXPD', 'EXPE', 'EXR', 'F', 'FANG', 'FAST', 'FB', 'FBHS', 'FCX', 'FDX', 'FE', 'FFIV', 'FIS', 'FISV', 'FITB', 'FL', 'FLIR', 'FLR', 'FLS', 'FLT', 'FMC', 'FOX', 'FOXA', 'FRC', 'FRT', 'FTI', 'FTNT', 'FTV', 'GD', 'GE', 'GILD', 'GIS', 'GLW', 'GM', 'GOOG', 'GOOGL', 'GPC', 'GPN', 'GPS', 'GRMN', 'GS', 'GT', 'GWW', 'HAL', 'HAS', 'HBAN', 'HBI', 'HCA', 'HCP', 'HD', 'HES', 'HFC', 'HIG', 'HII', 'HLT', 'HOG', 'HOLX', 'HON', 'HP', 'HPE', 'HPQ', 'HRB', 'HRL', 'HRS', 'HSIC', 'HST', 'HSY', 'HUM', 'IBM', 'ICE', 'IDXX', 'IFF', 'ILMN', 'INCY', 'INFO', 'INTC', 'INTU', 'IP', 'IPG', 'IPGP', 'IQV', 'IR', 'IRM', 'ISRG', 'IT', 'ITW', 'IVZ', 'JBHT', 'JCI', 'JEC', 'JEF', 'JKHY', 'JNJ', 'JNPR', 'JPM', 'JWN', 'K', 'KEY', 'KEYS', 'KHC', 'KIM', 'KLAC', 'KMB', 'KMI', 'KMX', 'KO', 'KR', 'KSS', 'KSU', 'L', 'LB', 'LEG', 'LEN', 'LH', 'LIN', 'LKQ', 'LLL', 'LLY', 'LMT', 'LNC', 'LNT', 'LOW', 'LRCX', 'LUV', 'LW', 'LYB', 'M', 'MA', 'MAA', 'MAC', 'MAR', 'MAS', 'MAT', 'MCD', 'MCHP', 'MCK', 'MCO', 'MDLZ', 'MDT', 'MET', 'MGM', 'MHK', 'MKC', 'MLM', 'MMC', 'MMM', 'MNST', 'MO', 'MOS', 'MPC', 'MRK', 'MRO', 'MS', 'MSCI', 'MSFT', 'MSI', 'MTB', 'MTD', 'MU', 'MXIM', 'MYL', 'NBL', 'NCLH', 'NDAQ', 'NEE', 'NEM', 'NFLX', 'NFX', 'NI', 'NKE', 'NKTR', 'NLSN', 'NOC', 'NOV', 'NRG', 'NSC', 'NTAP', 'NTRS', 'NUE', 'NVDA', 'NWL', 'NWS', 'NWSA', 'O', 'OKE', 'OMC', 'ORCL', 'ORLY', 'OXY', 'PAYX', 'PBCT', 'PCAR', 'PEG', 'PEP', 'PFE', 'PFG', 'PG', 'PGR', 'PH', 'PHM', 'PKG', 'PKI', 'PLD', 'PM', 'PNC', 'PNR', 'PNW', 'PPG', 'PPL', 'PRGO', 'PRU', 'PSA', 'PSX', 'PVH', 'PWR', 'PXD', 'PYPL', 'QCOM', 'QRVO', 'RCL', 'RE', 'REG', 'REGN', 'RF', 'RHI', 'RHT', 'RJF', 'RL', 'RMD', 'ROK', 'ROL', 'ROP', 'ROST', 'RSG', 'RTN', 'SBAC', 'SBUX', 'SCHW', 'SEE', 'SHW', 'SIVB', 'SJM', 'SLB', 'SLG', 'SNA', 'SNPS', 'SO', 'SPG', 'SPGI', 'SRE', 'STI', 'STT', 'STX', 'STZ', 'SWK', 'SWKS', 'SYF', 'SYK', 'SYMC', 'SYY', 'T', 'TAP', 'TDG', 'TEL', 'TFX', 'TGT', 'TIF', 'TJX', 'TMK', 'TMO', 'TPR', 'TRIP', 'TROW', 'TRV', 'TSCO', 'TSN', 'TSS', 'TTWO', 'TWTR', 'TXN', 'TXT', 'UA', 'UAA', 'UAL', 'UDR', 'UHS', 'ULTA', 'UNH', 'UNM', 'UNP', 'UPS', 'URI', 'USB', 'UTX', 'V', 'VAR', 'VFC', 'VIAB', 'VLO', 'VMC', 'VNO', 'VRSK', 'VRSN', 'VRTX', 'VTR', 'VZ', 'WAT', 'WBA', 'WCG', 'WDC', 'WEC', 'WELL', 'WFC', 'WHR', 'WLTW', 'WM', 'WMB', 'WMT', 'WRK', 'WU', 'WY', 'WYNN', 'XEC', 'XEL', 'XLNX', 'XOM', 'XRAY', 'XRX', 'XYL', 'YUM', 'ZBH', 'ZION', 'ZTS']],\n",
              "           labels=[[4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 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            ]
          },
          "metadata": {}
        }
      ],
      "execution_count": 13,
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        "outputHidden": false,
        "inputHidden": false
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    },
    {
      "cell_type": "code",
      "source": [
        "df.columns.levels"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 14,
          "data": {
            "text/plain": [
              "FrozenList([['Adj Close', 'Close', 'High', 'Low', 'Open', 'Volume'], ['A', 'AAL', 'AAP', 'AAPL', 'ABBV', 'ABC', 'ABMD', 'ABT', 'ACN', 'ADBE', 'ADI', 'ADM', 'ADP', 'ADS', 'ADSK', 'AEE', 'AEP', 'AES', 'AFL', 'AGN', 'AIG', 'AIV', 'AIZ', 'AJG', 'AKAM', 'ALB', 'ALGN', 'ALK', 'ALL', 'ALLE', 'ALXN', 'AMAT', 'AMD', 'AME', 'AMG', 'AMGN', 'AMP', 'AMT', 'AMZN', 'ANET', 'ANSS', 'ANTM', 'AON', 'AOS', 'APA', 'APC', 'APD', 'APH', 'APTV', 'ARE', 'ARNC', 'ATVI', 'AVB', 'AVGO', 'AVY', 'AWK', 'AXP', 'AZO', 'BA', 'BAC', 'BAX', 'BBT', 'BBY', 'BDX', 'BEN', 'BF-B', 'BHF', 'BHGE', 'BIIB', 'BK', 'BKNG', 'BLK', 'BLL', 'BMY', 'BR', 'BRK-B', 'BSX', 'BWA', 'BXP', 'C', 'CAG', 'CAH', 'CAT', 'CB', 'CBOE', 'CBRE', 'CBS', 'CCI', 'CCL', 'CDNS', 'CE', 'CELG', 'CERN', 'CF', 'CFG', 'CHD', 'CHRW', 'CHTR', 'CI', 'CINF', ...]])"
            ]
          },
          "metadata": {}
        }
      ],
      "execution_count": 14,
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        "collapsed": false,
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    },
    {
      "cell_type": "code",
      "source": [
        "Close = df['Adj Close'].unstack() \n",
        "Open = df['Open'].unstack()"
      ],
      "outputs": [],
      "execution_count": 15,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Close.head()"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 16,
          "data": {
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              "   Date      \n",
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              "   2017-01-04    46.250557\n",
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    {
      "cell_type": "code",
      "source": [
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          "execution_count": 17,
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              "     2017-01-26    48.419998\n",
              "     2017-01-27    48.320000\n",
              "     2017-01-30    48.480000\n",
              "     2017-01-31    48.040001\n",
              "     2017-02-01    48.930000\n",
              "     2017-02-02    48.880001\n",
              "     2017-02-03    49.090000\n",
              "     2017-02-06    49.130001\n",
              "     2017-02-07    49.419998\n",
              "     2017-02-08    49.369999\n",
              "     2017-02-09    49.930000\n",
              "     2017-02-10    50.509998\n",
              "     2017-02-13    50.630001\n",
              "     2017-02-14    50.240002\n",
              "                     ...    \n",
              "ZTS  2017-11-16    69.970001\n",
              "     2017-11-17    70.239998\n",
              "     2017-11-20    70.800003\n",
              "     2017-11-21    71.029999\n",
              "     2017-11-22    71.330002\n",
              "     2017-11-24    71.169998\n",
              "     2017-11-27    71.489998\n",
              "     2017-11-28    71.589996\n",
              "     2017-11-29    71.989998\n",
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              "     2017-12-07    70.970001\n",
              "     2017-12-08    71.889999\n",
              "     2017-12-11    71.839996\n",
              "     2017-12-12    71.769997\n",
              "     2017-12-13    72.139999\n",
              "     2017-12-14    72.250000\n",
              "     2017-12-15    72.209999\n",
              "     2017-12-18    71.959999\n",
              "     2017-12-19    72.820000\n",
              "     2017-12-20    72.680000\n",
              "     2017-12-21    73.000000\n",
              "     2017-12-22    72.269997\n",
              "     2017-12-26    72.400002\n",
              "     2017-12-27    72.589996\n",
              "     2017-12-28    72.489998\n",
              "     2017-12-29    72.550003\n",
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      "execution_count": 17,
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    {
      "cell_type": "code",
      "source": [
        "Daily_Change = (Close - Open) * 100/ Open\n",
        "Daily_Change"
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      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 18,
          "data": {
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              "     Date      \n",
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              "     2017-01-26   -2.310500\n",
              "     2017-01-27   -1.132868\n",
              "     2017-01-30   -3.444167\n",
              "     2017-01-31    0.097479\n",
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              "     2017-02-14   -1.510322\n",
              "                     ...   \n",
              "ZTS  2017-11-16   -0.164549\n",
              "     2017-11-17   -0.011590\n",
              "     2017-11-20   -0.578261\n",
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    {
      "cell_type": "code",
      "source": [
        "stocks_df = Daily_Change.reset_index(level=[1,0])\n",
        "stocks_df"
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      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 19,
          "data": {
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              "      <th>6</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-01-11</td>\n",
              "      <td>0.690775</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-01-12</td>\n",
              "      <td>-2.566591</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-01-13</td>\n",
              "      <td>-1.621654</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-01-17</td>\n",
              "      <td>-1.904982</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-01-18</td>\n",
              "      <td>-2.650890</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-01-19</td>\n",
              "      <td>-2.621120</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-01-20</td>\n",
              "      <td>-2.234641</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-01-23</td>\n",
              "      <td>-2.236719</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-01-24</td>\n",
              "      <td>-2.666862</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-01-25</td>\n",
              "      <td>-0.132504</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-01-26</td>\n",
              "      <td>-2.310500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-01-27</td>\n",
              "      <td>-1.132868</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-01-30</td>\n",
              "      <td>-3.444167</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-01-31</td>\n",
              "      <td>0.097479</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-02-01</td>\n",
              "      <td>-1.141236</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-02-02</td>\n",
              "      <td>-1.763337</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-02-03</td>\n",
              "      <td>-1.223400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-02-06</td>\n",
              "      <td>-1.523682</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-02-07</td>\n",
              "      <td>-1.366374</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-02-08</td>\n",
              "      <td>-0.689644</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-02-09</td>\n",
              "      <td>-0.741486</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-02-10</td>\n",
              "      <td>-2.095108</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-02-13</td>\n",
              "      <td>-2.016840</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>A</td>\n",
              "      <td>2017-02-14</td>\n",
              "      <td>-1.510322</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125721</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-11-16</td>\n",
              "      <td>-0.164549</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125722</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-11-17</td>\n",
              "      <td>-0.011590</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125723</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-11-20</td>\n",
              "      <td>-0.578261</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125724</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-11-21</td>\n",
              "      <td>-0.327507</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125725</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-11-22</td>\n",
              "      <td>-1.150067</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125726</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-11-24</td>\n",
              "      <td>-0.621156</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125727</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-11-27</td>\n",
              "      <td>-0.719056</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125728</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-11-28</td>\n",
              "      <td>-1.065610</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125729</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-11-29</td>\n",
              "      <td>-1.312131</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125730</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-11-30</td>\n",
              "      <td>-0.166988</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125731</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-01</td>\n",
              "      <td>-0.678542</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125732</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-04</td>\n",
              "      <td>-2.733227</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125733</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-05</td>\n",
              "      <td>-0.746425</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125734</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-06</td>\n",
              "      <td>-0.268497</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125735</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-07</td>\n",
              "      <td>0.148170</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125736</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-08</td>\n",
              "      <td>-0.802248</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125737</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-11</td>\n",
              "      <td>-0.885111</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125738</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-12</td>\n",
              "      <td>-0.152557</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125739</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-13</td>\n",
              "      <td>-0.458386</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125740</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-14</td>\n",
              "      <td>-1.461296</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125741</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-15</td>\n",
              "      <td>-1.131930</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125742</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-18</td>\n",
              "      <td>0.135285</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125743</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-19</td>\n",
              "      <td>-0.815681</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125744</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-20</td>\n",
              "      <td>-0.747497</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125745</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-21</td>\n",
              "      <td>-1.766978</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125746</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-22</td>\n",
              "      <td>-1.172819</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125747</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-26</td>\n",
              "      <td>-0.870657</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125748</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-27</td>\n",
              "      <td>-0.979787</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125749</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-28</td>\n",
              "      <td>-0.925295</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125750</th>\n",
              "      <td>ZTS</td>\n",
              "      <td>2017-12-29</td>\n",
              "      <td>-1.485865</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>125751 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       level_0       Date         0\n",
              "0            A 2017-01-03 -0.606240\n",
              "1            A 2017-01-04 -1.447780\n",
              "2            A 2017-01-05 -2.867898\n",
              "3            A 2017-01-06  1.060474\n",
              "4            A 2017-01-09 -1.537607\n",
              "5            A 2017-01-10 -2.291028\n",
              "6            A 2017-01-11  0.690775\n",
              "7            A 2017-01-12 -2.566591\n",
              "8            A 2017-01-13 -1.621654\n",
              "9            A 2017-01-17 -1.904982\n",
              "10           A 2017-01-18 -2.650890\n",
              "11           A 2017-01-19 -2.621120\n",
              "12           A 2017-01-20 -2.234641\n",
              "13           A 2017-01-23 -2.236719\n",
              "14           A 2017-01-24 -2.666862\n",
              "15           A 2017-01-25 -0.132504\n",
              "16           A 2017-01-26 -2.310500\n",
              "17           A 2017-01-27 -1.132868\n",
              "18           A 2017-01-30 -3.444167\n",
              "19           A 2017-01-31  0.097479\n",
              "20           A 2017-02-01 -1.141236\n",
              "21           A 2017-02-02 -1.763337\n",
              "22           A 2017-02-03 -1.223400\n",
              "23           A 2017-02-06 -1.523682\n",
              "24           A 2017-02-07 -1.366374\n",
              "25           A 2017-02-08 -0.689644\n",
              "26           A 2017-02-09 -0.741486\n",
              "27           A 2017-02-10 -2.095108\n",
              "28           A 2017-02-13 -2.016840\n",
              "29           A 2017-02-14 -1.510322\n",
              "...        ...        ...       ...\n",
              "125721     ZTS 2017-11-16 -0.164549\n",
              "125722     ZTS 2017-11-17 -0.011590\n",
              "125723     ZTS 2017-11-20 -0.578261\n",
              "125724     ZTS 2017-11-21 -0.327507\n",
              "125725     ZTS 2017-11-22 -1.150067\n",
              "125726     ZTS 2017-11-24 -0.621156\n",
              "125727     ZTS 2017-11-27 -0.719056\n",
              "125728     ZTS 2017-11-28 -1.065610\n",
              "125729     ZTS 2017-11-29 -1.312131\n",
              "125730     ZTS 2017-11-30 -0.166988\n",
              "125731     ZTS 2017-12-01 -0.678542\n",
              "125732     ZTS 2017-12-04 -2.733227\n",
              "125733     ZTS 2017-12-05 -0.746425\n",
              "125734     ZTS 2017-12-06 -0.268497\n",
              "125735     ZTS 2017-12-07  0.148170\n",
              "125736     ZTS 2017-12-08 -0.802248\n",
              "125737     ZTS 2017-12-11 -0.885111\n",
              "125738     ZTS 2017-12-12 -0.152557\n",
              "125739     ZTS 2017-12-13 -0.458386\n",
              "125740     ZTS 2017-12-14 -1.461296\n",
              "125741     ZTS 2017-12-15 -1.131930\n",
              "125742     ZTS 2017-12-18  0.135285\n",
              "125743     ZTS 2017-12-19 -0.815681\n",
              "125744     ZTS 2017-12-20 -0.747497\n",
              "125745     ZTS 2017-12-21 -1.766978\n",
              "125746     ZTS 2017-12-22 -1.172819\n",
              "125747     ZTS 2017-12-26 -0.870657\n",
              "125748     ZTS 2017-12-27 -0.979787\n",
              "125749     ZTS 2017-12-28 -0.925295\n",
              "125750     ZTS 2017-12-29 -1.485865\n",
              "\n[125751 rows x 3 columns]"
            ]
          },
          "metadata": {}
        }
      ],
      "execution_count": 19,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "s = stocks_df.stack()\n",
        "u = stocks_df.unstack()"
      ],
      "outputs": [],
      "execution_count": 20,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "s.head()"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 21,
          "data": {
            "text/plain": [
              "0  level_0                      A\n",
              "   Date       2017-01-03 00:00:00\n",
              "   0                     -0.60624\n",
              "1  level_0                      A\n",
              "   Date       2017-01-04 00:00:00\n",
              "dtype: object"
            ]
          },
          "metadata": {}
        }
      ],
      "execution_count": 21,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "u.head()"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 22,
          "data": {
            "text/plain": [
              "level_0  0    A\n",
              "         1    A\n",
              "         2    A\n",
              "         3    A\n",
              "         4    A\n",
              "dtype: object"
            ]
          },
          "metadata": {}
        }
      ],
      "execution_count": 22,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "stocks_df = Daily_Change.rename_axis(['Symbols','Date'])\n",
        "stocks_df"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 23,
          "data": {
            "text/plain": [
              "Symbols  Date      \n",
              "A        2017-01-03   -0.606240\n",
              "         2017-01-04   -1.447780\n",
              "         2017-01-05   -2.867898\n",
              "         2017-01-06    1.060474\n",
              "         2017-01-09   -1.537607\n",
              "         2017-01-10   -2.291028\n",
              "         2017-01-11    0.690775\n",
              "         2017-01-12   -2.566591\n",
              "         2017-01-13   -1.621654\n",
              "         2017-01-17   -1.904982\n",
              "         2017-01-18   -2.650890\n",
              "         2017-01-19   -2.621120\n",
              "         2017-01-20   -2.234641\n",
              "         2017-01-23   -2.236719\n",
              "         2017-01-24   -2.666862\n",
              "         2017-01-25   -0.132504\n",
              "         2017-01-26   -2.310500\n",
              "         2017-01-27   -1.132868\n",
              "         2017-01-30   -3.444167\n",
              "         2017-01-31    0.097479\n",
              "         2017-02-01   -1.141236\n",
              "         2017-02-02   -1.763337\n",
              "         2017-02-03   -1.223400\n",
              "         2017-02-06   -1.523682\n",
              "         2017-02-07   -1.366374\n",
              "         2017-02-08   -0.689644\n",
              "         2017-02-09   -0.741486\n",
              "         2017-02-10   -2.095108\n",
              "         2017-02-13   -2.016840\n",
              "         2017-02-14   -1.510322\n",
              "                         ...   \n",
              "ZTS      2017-11-16   -0.164549\n",
              "         2017-11-17   -0.011590\n",
              "         2017-11-20   -0.578261\n",
              "         2017-11-21   -0.327507\n",
              "         2017-11-22   -1.150067\n",
              "         2017-11-24   -0.621156\n",
              "         2017-11-27   -0.719056\n",
              "         2017-11-28   -1.065610\n",
              "         2017-11-29   -1.312131\n",
              "         2017-11-30   -0.166988\n",
              "         2017-12-01   -0.678542\n",
              "         2017-12-04   -2.733227\n",
              "         2017-12-05   -0.746425\n",
              "         2017-12-06   -0.268497\n",
              "         2017-12-07    0.148170\n",
              "         2017-12-08   -0.802248\n",
              "         2017-12-11   -0.885111\n",
              "         2017-12-12   -0.152557\n",
              "         2017-12-13   -0.458386\n",
              "         2017-12-14   -1.461296\n",
              "         2017-12-15   -1.131930\n",
              "         2017-12-18    0.135285\n",
              "         2017-12-19   -0.815681\n",
              "         2017-12-20   -0.747497\n",
              "         2017-12-21   -1.766978\n",
              "         2017-12-22   -1.172819\n",
              "         2017-12-26   -0.870657\n",
              "         2017-12-27   -0.979787\n",
              "         2017-12-28   -0.925295\n",
              "         2017-12-29   -1.485865\n",
              "Length: 125751, dtype: float64"
            ]
          },
          "metadata": {}
        }
      ],
      "execution_count": 23,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "new_df = stocks_df.reset_index(level=[1])"
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              "      <td>-1.223400</td>\n",
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              "    <tr>\n",
              "      <th>A</th>\n",
              "      <td>2017-02-06</td>\n",
              "      <td>-1.523682</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>A</th>\n",
              "      <td>2017-02-07</td>\n",
              "      <td>-1.366374</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>A</th>\n",
              "      <td>2017-02-08</td>\n",
              "      <td>-0.689644</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>A</th>\n",
              "      <td>2017-02-09</td>\n",
              "      <td>-0.741486</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>A</th>\n",
              "      <td>2017-02-10</td>\n",
              "      <td>-2.095108</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>A</th>\n",
              "      <td>2017-02-13</td>\n",
              "      <td>-2.016840</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>A</th>\n",
              "      <td>2017-02-14</td>\n",
              "      <td>-1.510322</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-11-16</td>\n",
              "      <td>-0.164549</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-11-17</td>\n",
              "      <td>-0.011590</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-11-20</td>\n",
              "      <td>-0.578261</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-11-21</td>\n",
              "      <td>-0.327507</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-11-22</td>\n",
              "      <td>-1.150067</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-11-24</td>\n",
              "      <td>-0.621156</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-11-27</td>\n",
              "      <td>-0.719056</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-11-28</td>\n",
              "      <td>-1.065610</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-11-29</td>\n",
              "      <td>-1.312131</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-11-30</td>\n",
              "      <td>-0.166988</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-01</td>\n",
              "      <td>-0.678542</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-04</td>\n",
              "      <td>-2.733227</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-05</td>\n",
              "      <td>-0.746425</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-06</td>\n",
              "      <td>-0.268497</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-07</td>\n",
              "      <td>0.148170</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-08</td>\n",
              "      <td>-0.802248</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-11</td>\n",
              "      <td>-0.885111</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-12</td>\n",
              "      <td>-0.152557</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-13</td>\n",
              "      <td>-0.458386</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-14</td>\n",
              "      <td>-1.461296</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-15</td>\n",
              "      <td>-1.131930</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-18</td>\n",
              "      <td>0.135285</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-19</td>\n",
              "      <td>-0.815681</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-20</td>\n",
              "      <td>-0.747497</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-21</td>\n",
              "      <td>-1.766978</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-22</td>\n",
              "      <td>-1.172819</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-26</td>\n",
              "      <td>-0.870657</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-27</td>\n",
              "      <td>-0.979787</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-28</td>\n",
              "      <td>-0.925295</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZTS</th>\n",
              "      <td>2017-12-29</td>\n",
              "      <td>-1.485865</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>125751 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "              Date  Daily_Change\n",
              "Symbols                         \n",
              "A       2017-01-03     -0.606240\n",
              "A       2017-01-04     -1.447780\n",
              "A       2017-01-05     -2.867898\n",
              "A       2017-01-06      1.060474\n",
              "A       2017-01-09     -1.537607\n",
              "A       2017-01-10     -2.291028\n",
              "A       2017-01-11      0.690775\n",
              "A       2017-01-12     -2.566591\n",
              "A       2017-01-13     -1.621654\n",
              "A       2017-01-17     -1.904982\n",
              "A       2017-01-18     -2.650890\n",
              "A       2017-01-19     -2.621120\n",
              "A       2017-01-20     -2.234641\n",
              "A       2017-01-23     -2.236719\n",
              "A       2017-01-24     -2.666862\n",
              "A       2017-01-25     -0.132504\n",
              "A       2017-01-26     -2.310500\n",
              "A       2017-01-27     -1.132868\n",
              "A       2017-01-30     -3.444167\n",
              "A       2017-01-31      0.097479\n",
              "A       2017-02-01     -1.141236\n",
              "A       2017-02-02     -1.763337\n",
              "A       2017-02-03     -1.223400\n",
              "A       2017-02-06     -1.523682\n",
              "A       2017-02-07     -1.366374\n",
              "A       2017-02-08     -0.689644\n",
              "A       2017-02-09     -0.741486\n",
              "A       2017-02-10     -2.095108\n",
              "A       2017-02-13     -2.016840\n",
              "A       2017-02-14     -1.510322\n",
              "...            ...           ...\n",
              "ZTS     2017-11-16     -0.164549\n",
              "ZTS     2017-11-17     -0.011590\n",
              "ZTS     2017-11-20     -0.578261\n",
              "ZTS     2017-11-21     -0.327507\n",
              "ZTS     2017-11-22     -1.150067\n",
              "ZTS     2017-11-24     -0.621156\n",
              "ZTS     2017-11-27     -0.719056\n",
              "ZTS     2017-11-28     -1.065610\n",
              "ZTS     2017-11-29     -1.312131\n",
              "ZTS     2017-11-30     -0.166988\n",
              "ZTS     2017-12-01     -0.678542\n",
              "ZTS     2017-12-04     -2.733227\n",
              "ZTS     2017-12-05     -0.746425\n",
              "ZTS     2017-12-06     -0.268497\n",
              "ZTS     2017-12-07      0.148170\n",
              "ZTS     2017-12-08     -0.802248\n",
              "ZTS     2017-12-11     -0.885111\n",
              "ZTS     2017-12-12     -0.152557\n",
              "ZTS     2017-12-13     -0.458386\n",
              "ZTS     2017-12-14     -1.461296\n",
              "ZTS     2017-12-15     -1.131930\n",
              "ZTS     2017-12-18      0.135285\n",
              "ZTS     2017-12-19     -0.815681\n",
              "ZTS     2017-12-20     -0.747497\n",
              "ZTS     2017-12-21     -1.766978\n",
              "ZTS     2017-12-22     -1.172819\n",
              "ZTS     2017-12-26     -0.870657\n",
              "ZTS     2017-12-27     -0.979787\n",
              "ZTS     2017-12-28     -0.925295\n",
              "ZTS     2017-12-29     -1.485865\n",
              "\n[125751 rows x 2 columns]"
            ]
          },
          "metadata": {}
        }
      ],
      "execution_count": 26,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "pivoted = pd.pivot_table(a, index='Symbols', columns='Date')"
      ],
      "outputs": [],
      "execution_count": 27,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "pivoted.head()"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 28,
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th colspan=\"21\" halign=\"left\">Daily_Change</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th>2017-01-03</th>\n",
              "      <th>2017-01-04</th>\n",
              "      <th>2017-01-05</th>\n",
              "      <th>2017-01-06</th>\n",
              "      <th>2017-01-09</th>\n",
              "      <th>2017-01-10</th>\n",
              "      <th>2017-01-11</th>\n",
              "      <th>2017-01-12</th>\n",
              "      <th>2017-01-13</th>\n",
              "      <th>2017-01-17</th>\n",
              "      <th>...</th>\n",
              "      <th>2017-12-15</th>\n",
              "      <th>2017-12-18</th>\n",
              "      <th>2017-12-19</th>\n",
              "      <th>2017-12-20</th>\n",
              "      <th>2017-12-21</th>\n",
              "      <th>2017-12-22</th>\n",
              "      <th>2017-12-26</th>\n",
              "      <th>2017-12-27</th>\n",
              "      <th>2017-12-28</th>\n",
              "      <th>2017-12-29</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Symbols</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>A</th>\n",
              "      <td>-0.606240</td>\n",
              "      <td>-1.447780</td>\n",
              "      <td>-2.867898</td>\n",
              "      <td>1.060474</td>\n",
              "      <td>-1.537607</td>\n",
              "      <td>-2.291028</td>\n",
              "      <td>0.690775</td>\n",
              "      <td>-2.566591</td>\n",
              "      <td>-1.621654</td>\n",
              "      <td>-1.904982</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.237184</td>\n",
              "      <td>-1.472207</td>\n",
              "      <td>-1.413762</td>\n",
              "      <td>-1.735027</td>\n",
              "      <td>-1.122643</td>\n",
              "      <td>-1.225287</td>\n",
              "      <td>-1.225420</td>\n",
              "      <td>-1.004886</td>\n",
              "      <td>-1.122632</td>\n",
              "      <td>-1.696382</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>AAL</th>\n",
              "      <td>-3.839484</td>\n",
              "      <td>-1.656723</td>\n",
              "      <td>-3.133955</td>\n",
              "      <td>-1.033121</td>\n",
              "      <td>0.479511</td>\n",
              "      <td>1.288004</td>\n",
              "      <td>-3.099061</td>\n",
              "      <td>-2.954144</td>\n",
              "      <td>-2.843985</td>\n",
              "      <td>-3.476516</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.195033</td>\n",
              "      <td>-0.493551</td>\n",
              "      <td>-1.264467</td>\n",
              "      <td>-0.285168</td>\n",
              "      <td>0.238901</td>\n",
              "      <td>-1.201578</td>\n",
              "      <td>-0.011389</td>\n",
              "      <td>-1.707669</td>\n",
              "      <td>-0.938482</td>\n",
              "      <td>-1.694222</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>AAP</th>\n",
              "      <td>-0.485765</td>\n",
              "      <td>0.572333</td>\n",
              "      <td>0.208062</td>\n",
              "      <td>-1.363476</td>\n",
              "      <td>-0.691231</td>\n",
              "      <td>0.339655</td>\n",
              "      <td>-0.426694</td>\n",
              "      <td>0.803649</td>\n",
              "      <td>-0.169455</td>\n",
              "      <td>-1.146466</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.368146</td>\n",
              "      <td>1.119151</td>\n",
              "      <td>-2.878482</td>\n",
              "      <td>-1.665905</td>\n",
              "      <td>1.472835</td>\n",
              "      <td>-0.258159</td>\n",
              "      <td>0.979953</td>\n",
              "      <td>-2.082678</td>\n",
              "      <td>-0.318836</td>\n",
              "      <td>-0.328846</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>AAPL</th>\n",
              "      <td>-2.745284</td>\n",
              "      <td>-2.896061</td>\n",
              "      <td>-2.461191</td>\n",
              "      <td>-2.100116</td>\n",
              "      <td>-2.183411</td>\n",
              "      <td>-2.760779</td>\n",
              "      <td>-2.213584</td>\n",
              "      <td>-2.752935</td>\n",
              "      <td>-3.095334</td>\n",
              "      <td>-1.678221</td>\n",
              "      <td>...</td>\n",
              "      <td>-1.286192</td>\n",
              "      <td>-0.611538</td>\n",
              "      <td>-1.754922</td>\n",
              "      <td>-1.772068</td>\n",
              "      <td>-1.003959</td>\n",
              "      <td>-1.292988</td>\n",
              "      <td>-1.611776</td>\n",
              "      <td>-1.189513</td>\n",
              "      <td>-1.433015</td>\n",
              "      <td>-2.224426</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ABBV</th>\n",
              "      <td>-9.010197</td>\n",
              "      <td>-7.314743</td>\n",
              "      <td>-7.702185</td>\n",
              "      <td>-8.395892</td>\n",
              "      <td>-7.677138</td>\n",
              "      <td>-8.238006</td>\n",
              "      <td>-10.615866</td>\n",
              "      <td>-6.563444</td>\n",
              "      <td>-6.374448</td>\n",
              "      <td>-7.175998</td>\n",
              "      <td>...</td>\n",
              "      <td>-4.340193</td>\n",
              "      <td>-4.413136</td>\n",
              "      <td>-5.402390</td>\n",
              "      <td>-5.356566</td>\n",
              "      <td>-4.831860</td>\n",
              "      <td>-4.579282</td>\n",
              "      <td>-5.306840</td>\n",
              "      <td>-4.569112</td>\n",
              "      <td>-5.306683</td>\n",
              "      <td>-6.304776</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 251 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        Daily_Change                                                         \\\n",
              "Date      2017-01-03 2017-01-04 2017-01-05 2017-01-06 2017-01-09 2017-01-10   \n",
              "Symbols                                                                       \n",
              "A          -0.606240  -1.447780  -2.867898   1.060474  -1.537607  -2.291028   \n",
              "AAL        -3.839484  -1.656723  -3.133955  -1.033121   0.479511   1.288004   \n",
              "AAP        -0.485765   0.572333   0.208062  -1.363476  -0.691231   0.339655   \n",
              "AAPL       -2.745284  -2.896061  -2.461191  -2.100116  -2.183411  -2.760779   \n",
              "ABBV       -9.010197  -7.314743  -7.702185  -8.395892  -7.677138  -8.238006   \n",
              "\n",
              "                                                       ...                 \\\n",
              "Date    2017-01-11 2017-01-12 2017-01-13 2017-01-17    ...     2017-12-15   \n",
              "Symbols                                                ...                  \n",
              "A         0.690775  -2.566591  -1.621654  -1.904982    ...      -0.237184   \n",
              "AAL      -3.099061  -2.954144  -2.843985  -3.476516    ...      -0.195033   \n",
              "AAP      -0.426694   0.803649  -0.169455  -1.146466    ...      -0.368146   \n",
              "AAPL     -2.213584  -2.752935  -3.095334  -1.678221    ...      -1.286192   \n",
              "ABBV    -10.615866  -6.563444  -6.374448  -7.175998    ...      -4.340193   \n",
              "\n",
              "                                                                           \\\n",
              "Date    2017-12-18 2017-12-19 2017-12-20 2017-12-21 2017-12-22 2017-12-26   \n",
              "Symbols                                                                     \n",
              "A        -1.472207  -1.413762  -1.735027  -1.122643  -1.225287  -1.225420   \n",
              "AAL      -0.493551  -1.264467  -0.285168   0.238901  -1.201578  -0.011389   \n",
              "AAP       1.119151  -2.878482  -1.665905   1.472835  -0.258159   0.979953   \n",
              "AAPL     -0.611538  -1.754922  -1.772068  -1.003959  -1.292988  -1.611776   \n",
              "ABBV     -4.413136  -5.402390  -5.356566  -4.831860  -4.579282  -5.306840   \n",
              "\n",
              "                                          \n",
              "Date    2017-12-27 2017-12-28 2017-12-29  \n",
              "Symbols                                   \n",
              "A        -1.004886  -1.122632  -1.696382  \n",
              "AAL      -1.707669  -0.938482  -1.694222  \n",
              "AAP      -2.082678  -0.318836  -0.328846  \n",
              "AAPL     -1.189513  -1.433015  -2.224426  \n",
              "ABBV     -4.569112  -5.306683  -6.304776  \n",
              "\n[5 rows x 251 columns]"
            ]
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