Bloc 6_Projet Start-up/Scraping_company_info/Projet final_scraping_companies_info.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5f24d2ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import re\n",
    "pd.options.display.max_columns = None # to see all the columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d0891441",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><div id=61b79506-158a-40e0-b59d-4da69615f5eb style=\"display:none; background-color:#9D6CFF; color:white; width:200px; height:30px; padding-left:5px; border-radius:4px; flex-direction:row; justify-content:space-around; align-items:center;\" onmouseover=\"this.style.backgroundColor='#BA9BF8'\" onmouseout=\"this.style.backgroundColor='#9D6CFF'\" onclick=\"window.commands?.execute('create-mitosheet-from-dataframe-output');\">See Full Dataframe in Mito</div> <script> if (window.commands.hasCommand('create-mitosheet-from-dataframe-output')) document.getElementById('61b79506-158a-40e0-b59d-4da69615f5eb').style.display = 'flex' </script> <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>permalink</th>\n",
       "      <th>name</th>\n",
       "      <th>homepage_url</th>\n",
       "      <th>category_list</th>\n",
       "      <th>funding_total_usd</th>\n",
       "      <th>status</th>\n",
       "      <th>country_code</th>\n",
       "      <th>state_code</th>\n",
       "      <th>region</th>\n",
       "      <th>city</th>\n",
       "      <th>funding_rounds</th>\n",
       "      <th>founded_at</th>\n",
       "      <th>first_funding_at</th>\n",
       "      <th>last_funding_at</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>/organization/-fame</td>\n",
       "      <td>#fame</td>\n",
       "      <td>http://livfame.com</td>\n",
       "      <td>Media</td>\n",
       "      <td>10000000</td>\n",
       "      <td>operating</td>\n",
       "      <td>IND</td>\n",
       "      <td>16</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-01-05</td>\n",
       "      <td>2015-01-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>/organization/-qounter</td>\n",
       "      <td>:Qounter</td>\n",
       "      <td>http://www.qounter.com</td>\n",
       "      <td>Application Platforms|Real Time|Social Network Media</td>\n",
       "      <td>700000</td>\n",
       "      <td>operating</td>\n",
       "      <td>USA</td>\n",
       "      <td>DE</td>\n",
       "      <td>DE - Other</td>\n",
       "      <td>Delaware City</td>\n",
       "      <td>2</td>\n",
       "      <td>2014-09-04</td>\n",
       "      <td>2014-03-01</td>\n",
       "      <td>2014-10-14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>"
      ],
      "text/plain": [
       "                permalink      name            homepage_url  \\\n",
       "0     /organization/-fame     #fame      http://livfame.com   \n",
       "1  /organization/-qounter  :Qounter  http://www.qounter.com   \n",
       "\n",
       "                                       category_list funding_total_usd  \\\n",
       "0                                              Media          10000000   \n",
       "1  Application Platforms|Real Time|Social Network...            700000   \n",
       "\n",
       "      status country_code state_code      region           city  \\\n",
       "0  operating          IND         16      Mumbai         Mumbai   \n",
       "1  operating          USA         DE  DE - Other  Delaware City   \n",
       "\n",
       "   funding_rounds  founded_at first_funding_at last_funding_at  \n",
       "0               1         NaN       2015-01-05      2015-01-05  \n",
       "1               2  2014-09-04       2014-03-01      2014-10-14  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url_1 = \"https://raw.githubusercontent.com/huynam1012/Projet_jedha/main/companies_data_world.csv\"\n",
    "df = pd.read_csv(url_1, encoding='ISO-8859-1')\n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53db1d87",
   "metadata": {},
   "source": [
    "# Scraping données"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ce0c9a4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#!pip install yfinance\n",
    "#!pip install googlesearch-python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3c1c91da",
   "metadata": {},
   "outputs": [],
   "source": [
    "import yfinance as yf\n",
    "from googlesearch import search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e254e44d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><div id=1f02bdfa-b023-4a74-93a1-48049c6e0365 style=\"display:none; background-color:#9D6CFF; color:white; width:200px; height:30px; padding-left:5px; border-radius:4px; flex-direction:row; justify-content:space-around; align-items:center;\" onmouseover=\"this.style.backgroundColor='#BA9BF8'\" onmouseout=\"this.style.backgroundColor='#9D6CFF'\" onclick=\"window.commands?.execute('create-mitosheet-from-dataframe-output');\">See Full Dataframe in Mito</div> <script> if (window.commands.hasCommand('create-mitosheet-from-dataframe-output')) document.getElementById('1f02bdfa-b023-4a74-93a1-48049c6e0365').style.display = 'flex' </script> <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>permalink</th>\n",
       "      <th>name</th>\n",
       "      <th>homepage_url</th>\n",
       "      <th>category_list</th>\n",
       "      <th>funding_total_usd</th>\n",
       "      <th>status</th>\n",
       "      <th>country_code</th>\n",
       "      <th>state_code</th>\n",
       "      <th>region</th>\n",
       "      <th>city</th>\n",
       "      <th>funding_rounds</th>\n",
       "      <th>founded_at</th>\n",
       "      <th>first_funding_at</th>\n",
       "      <th>last_funding_at</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>/organization/21vianet</td>\n",
       "      <td>21viaNet</td>\n",
       "      <td>http://www.ch.21vianet.com</td>\n",
       "      <td>Software|Web Hosting</td>\n",
       "      <td>396000000</td>\n",
       "      <td>ipo</td>\n",
       "      <td>CHN</td>\n",
       "      <td>22</td>\n",
       "      <td>Beijing</td>\n",
       "      <td>Beijing</td>\n",
       "      <td>5</td>\n",
       "      <td>2009-10-16</td>\n",
       "      <td>2008-02-13</td>\n",
       "      <td>2014-12-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>/organization/22nd-century-group</td>\n",
       "      <td>22nd Century Group</td>\n",
       "      <td>http://www.xxiicentury.com</td>\n",
       "      <td>Biotechnology</td>\n",
       "      <td>15034750</td>\n",
       "      <td>ipo</td>\n",
       "      <td>USA</td>\n",
       "      <td>NY</td>\n",
       "      <td>NY - Other</td>\n",
       "      <td>Clarence</td>\n",
       "      <td>6</td>\n",
       "      <td>1998-01-01</td>\n",
       "      <td>2010-12-28</td>\n",
       "      <td>2014-09-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>/organization/2u</td>\n",
       "      <td>2U Inc.</td>\n",
       "      <td>http://2u.com</td>\n",
       "      <td>EdTech|Education|Software</td>\n",
       "      <td>95875000</td>\n",
       "      <td>ipo</td>\n",
       "      <td>USA</td>\n",
       "      <td>MD</td>\n",
       "      <td>MD - Other</td>\n",
       "      <td>Hyattsville</td>\n",
       "      <td>6</td>\n",
       "      <td>2008-01-01</td>\n",
       "      <td>2009-03-25</td>\n",
       "      <td>2013-10-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>/organization/3d-systems</td>\n",
       "      <td>3D Systems</td>\n",
       "      <td>http://www.3dsystems.com</td>\n",
       "      <td>Software</td>\n",
       "      <td>169500000</td>\n",
       "      <td>ipo</td>\n",
       "      <td>USA</td>\n",
       "      <td>SC</td>\n",
       "      <td>SC - Other</td>\n",
       "      <td>Rock Hill</td>\n",
       "      <td>3</td>\n",
       "      <td>1986-01-01</td>\n",
       "      <td>2014-01-15</td>\n",
       "      <td>2014-10-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>/organization/58-com</td>\n",
       "      <td>58.com</td>\n",
       "      <td>http://www.58.com</td>\n",
       "      <td>Curated Web|Internet|Software</td>\n",
       "      <td>876780000</td>\n",
       "      <td>ipo</td>\n",
       "      <td>CHN</td>\n",
       "      <td>19</td>\n",
       "      <td>CHN - Other</td>\n",
       "      <td>Chaoyang</td>\n",
       "      <td>6</td>\n",
       "      <td>2005-01-01</td>\n",
       "      <td>2006-02-01</td>\n",
       "      <td>2014-06-27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>"
      ],
      "text/plain": [
       "                            permalink                name  \\\n",
       "139            /organization/21vianet            21viaNet   \n",
       "140  /organization/22nd-century-group  22nd Century Group   \n",
       "201                  /organization/2u             2U Inc.   \n",
       "270          /organization/3d-systems          3D Systems   \n",
       "436              /organization/58-com              58.com   \n",
       "\n",
       "                   homepage_url                  category_list  \\\n",
       "139  http://www.ch.21vianet.com           Software|Web Hosting   \n",
       "140  http://www.xxiicentury.com                  Biotechnology   \n",
       "201               http://2u.com      EdTech|Education|Software   \n",
       "270    http://www.3dsystems.com                       Software   \n",
       "436           http://www.58.com  Curated Web|Internet|Software   \n",
       "\n",
       "    funding_total_usd status country_code state_code       region  \\\n",
       "139         396000000    ipo          CHN         22      Beijing   \n",
       "140          15034750    ipo          USA         NY   NY - Other   \n",
       "201          95875000    ipo          USA         MD   MD - Other   \n",
       "270         169500000    ipo          USA         SC   SC - Other   \n",
       "436         876780000    ipo          CHN         19  CHN - Other   \n",
       "\n",
       "            city  funding_rounds  founded_at first_funding_at last_funding_at  \n",
       "139      Beijing               5  2009-10-16       2008-02-13      2014-12-04  \n",
       "140     Clarence               6  1998-01-01       2010-12-28      2014-09-18  \n",
       "201  Hyattsville               6  2008-01-01       2009-03-25      2013-10-21  \n",
       "270    Rock Hill               3  1986-01-01       2014-01-15      2014-10-13  \n",
       "436     Chaoyang               6  2005-01-01       2006-02-01      2014-06-27  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df[df[\"status\"] == \"ipo\"]\n",
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b7ab8a25",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><div id=ef00734b-87e4-4a2e-9d73-aa3812e93209 style=\"display:none; background-color:#9D6CFF; color:white; width:200px; height:30px; padding-left:5px; border-radius:4px; flex-direction:row; justify-content:space-around; align-items:center;\" onmouseover=\"this.style.backgroundColor='#BA9BF8'\" onmouseout=\"this.style.backgroundColor='#9D6CFF'\" onclick=\"window.commands?.execute('create-mitosheet-from-dataframe-output');\">See Full Dataframe in Mito</div> <script> if (window.commands.hasCommand('create-mitosheet-from-dataframe-output')) document.getElementById('ef00734b-87e4-4a2e-9d73-aa3812e93209').style.display = 'flex' </script> <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>21viaNet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>22nd Century Group</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>2U Inc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>3D Systems</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>58.com</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>"
      ],
      "text/plain": [
       "                   name\n",
       "139            21viaNet\n",
       "140  22nd Century Group\n",
       "201             2U Inc.\n",
       "270          3D Systems\n",
       "436              58.com"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = df[[\"name\"]]\n",
    "df1.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d19b6c12",
   "metadata": {},
   "outputs": [],
   "source": [
    "def name_convert(self):\n",
    "\n",
    "    searchval = 'yahoo finance '+self\n",
    "    link = []\n",
    "    #limits to the first link\n",
    "    for url in search(searchval, tld='es', lang='es', stop=1):\n",
    "        link.append(url)\n",
    "\n",
    "    link = str(link[0])\n",
    "    link=link.split(\"/\")\n",
    "    if link[-1]=='':\n",
    "        ticker=link[-2]\n",
    "    else:\n",
    "        x=link[-1].split('=')\n",
    "        ticker=x[-1]\n",
    "\n",
    "    return(ticker)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "914e6dfb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><div id=def23032-cf4f-4ac5-8758-042e61f6ffbc style=\"display:none; background-color:#9D6CFF; color:white; width:200px; height:30px; padding-left:5px; border-radius:4px; flex-direction:row; justify-content:space-around; align-items:center;\" onmouseover=\"this.style.backgroundColor='#BA9BF8'\" onmouseout=\"this.style.backgroundColor='#9D6CFF'\" onclick=\"window.commands?.execute('create-mitosheet-from-dataframe-output');\">See Full Dataframe in Mito</div> <script> if (window.commands.hasCommand('create-mitosheet-from-dataframe-output')) document.getElementById('def23032-cf4f-4ac5-8758-042e61f6ffbc').style.display = 'flex' </script> <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>21viaNet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>22nd Century Group</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>2U Inc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>3D Systems</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>58.com</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>"
      ],
      "text/plain": [
       "                   name\n",
       "139            21viaNet\n",
       "140  22nd Century Group\n",
       "201             2U Inc.\n",
       "270          3D Systems\n",
       "436              58.com"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1_a = df1.copy()\n",
    "df1_a.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d502365e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><div id=d745ff08-89ea-4085-a198-ce3dea224ed8 style=\"display:none; background-color:#9D6CFF; color:white; width:200px; height:30px; padding-left:5px; border-radius:4px; flex-direction:row; justify-content:space-around; align-items:center;\" onmouseover=\"this.style.backgroundColor='#BA9BF8'\" onmouseout=\"this.style.backgroundColor='#9D6CFF'\" onclick=\"window.commands?.execute('create-mitosheet-from-dataframe-output');\">See Full Dataframe in Mito</div> <script> if (window.commands.hasCommand('create-mitosheet-from-dataframe-output')) document.getElementById('d745ff08-89ea-4085-a198-ce3dea224ed8').style.display = 'flex' </script> <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>name_ticker</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>21viaNet</td>\n",
       "      <td>VNET</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>22nd Century Group</td>\n",
       "      <td>XXII</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>2U Inc.</td>\n",
       "      <td>TWOU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>3D Systems</td>\n",
       "      <td>DDD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>58.com</td>\n",
       "      <td>finance.yahoo.com</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>"
      ],
      "text/plain": [
       "                   name        name_ticker\n",
       "139            21viaNet               VNET\n",
       "140  22nd Century Group               XXII\n",
       "201             2U Inc.               TWOU\n",
       "270          3D Systems                DDD\n",
       "436              58.com  finance.yahoo.com"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1_a[\"name_ticker\"] = df1_a[\"name\"].apply(name_convert)\n",
    "df1_a.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "41b6db89",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1_a.to_csv(\"scrapping_tickers.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "63f97963",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><div id=c138dcbb-4f80-4f62-851d-a95de6343793 style=\"display:none; background-color:#9D6CFF; color:white; width:200px; height:30px; padding-left:5px; border-radius:4px; flex-direction:row; justify-content:space-around; align-items:center;\" onmouseover=\"this.style.backgroundColor='#BA9BF8'\" onmouseout=\"this.style.backgroundColor='#9D6CFF'\" onclick=\"window.commands?.execute('create-mitosheet-from-dataframe-output');\">See Full Dataframe in Mito</div> <script> if (window.commands.hasCommand('create-mitosheet-from-dataframe-output')) document.getElementById('c138dcbb-4f80-4f62-851d-a95de6343793').style.display = 'flex' </script> <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>name_ticker</th>\n",
       "      <th>lenticker</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>21viaNet</td>\n",
       "      <td>VNET</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>22nd Century Group</td>\n",
       "      <td>XXII</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2U Inc.</td>\n",
       "      <td>TWOU</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3D Systems</td>\n",
       "      <td>DDD</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6D Global Technologies</td>\n",
       "      <td>SIXD</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>"
      ],
      "text/plain": [
       "                     name name_ticker  lenticker\n",
       "0                21viaNet        VNET        4.0\n",
       "1      22nd Century Group        XXII        4.0\n",
       "2                 2U Inc.        TWOU        4.0\n",
       "3              3D Systems         DDD        3.0\n",
       "6  6D Global Technologies        SIXD        4.0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1_a = pd.read_csv(\"scrapping_tickers.csv\").drop([\"Unnamed: 0\"], axis=1)\n",
    "df1_a[\"lenticker\"] = df1_a[\"name_ticker\"].str.len()\n",
    "df1_a = df1_a[df1_a[\"lenticker\"]<6]\n",
    "df1_a.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b4be3f65",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1034 entries, 0 to 1546\n",
      "Data columns (total 3 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   name         1034 non-null   object \n",
      " 1   name_ticker  1034 non-null   object \n",
      " 2   lenticker    1034 non-null   float64\n",
      "dtypes: float64(1), object(2)\n",
      "memory usage: 32.3+ KB\n"
     ]
    }
   ],
   "source": [
    "df1_a.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cbd0f49f",
   "metadata": {},
   "outputs": [],
   "source": [
    "description = []\n",
    "for i in df1_a[\"name_ticker\"]:\n",
    "    msft = yf.Ticker(i).info\n",
    "    # get stock info\n",
    "    x = msft.get('longBusinessSummary')\n",
    "    description.append(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8a6532b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><div id=9fb1dd10-aa5b-4ecc-a429-28e54b78fa7a style=\"display:none; background-color:#9D6CFF; color:white; width:200px; height:30px; padding-left:5px; border-radius:4px; flex-direction:row; justify-content:space-around; align-items:center;\" onmouseover=\"this.style.backgroundColor='#BA9BF8'\" onmouseout=\"this.style.backgroundColor='#9D6CFF'\" onclick=\"window.commands?.execute('create-mitosheet-from-dataframe-output');\">See Full Dataframe in Mito</div> <script> if (window.commands.hasCommand('create-mitosheet-from-dataframe-output')) document.getElementById('9fb1dd10-aa5b-4ecc-a429-28e54b78fa7a').style.display = 'flex' </script> <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>name_ticker</th>\n",
       "      <th>lenticker</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>21viaNet</td>\n",
       "      <td>VNET</td>\n",
       "      <td>4.0</td>\n",
       "      <td>VNET Group, Inc., an investment holding company, provides hosting and related services to Internet companies, government entities, blue-chip enterprises, and small-to mid-sized enterprises in the People's Republic of China. It offers hosting and related services to house servers and networking equipment in its data centers, and connects them through a data transmission network. The company's hosting and related services include managed hosting services that offer data center space to house its customers' servers and networking equipment, and provide tailored server administration services; and interconnectivity services that enable customers to connect their servers with internet backbones and other networks through its border gateway protocol network or single-line, dual-line, or multiple-line network. Its hosting and related services also comprise cloud services that enable businesses to run their applications over the internet using its IT infrastructure; virtual private network services; hybrid IT Services, which provide customers with a complete package of infrastructure service offerings; and other value-added services, such as firewall, server load balancing, data backup and recovery, data center management, server management, and backup server services. In addition, the company provides traffic charts and analysis, gateway monitoring for servers, domain name system setup, defense mechanism against distributed denial of service attacks, basic setting of switches and routers, and virus protections; and managed network service. As of December 31, 2020, it operated 32 self-built data centers housing 49,876 cabinets and 52 partnered data centers housing with 3,677 cabinets. It has a strategic partnership with Microsoft Corporation. The company was formerly known as 21Vianet Group, Inc. and changed its name to VNET Group, Inc. in October 2021. VNET Group, Inc. was founded in 1999 and is headquartered in Beijing, the People's Republic of China.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>22nd Century Group</td>\n",
       "      <td>XXII</td>\n",
       "      <td>4.0</td>\n",
       "      <td>22nd Century Group, Inc., a biotechnology company, develops plant-based solutions for the life science, consumer product, and pharmaceutical markets. It develops very low nicotine content tobacco and cigarette products under the Moonlight and Moonlight Menthol names; and SPECTRUM research cigarettes for use in independent clinical studies. 22nd Century Group, Inc. has collaboration with Keygene N.V. to develop hemp/cannabis plants for exceptional cannabinoid profiles and other superior agronomic traits for medical, therapeutic, and agricultural uses, as well as other applications. 22nd Century Group, Inc. was founded in 1998 and is headquartered in Buffalo, New York.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2U Inc.</td>\n",
       "      <td>TWOU</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2U, Inc. operates as an education technology company in the United States, Hong Kong, South Africa, and the United Kingdom. The company operates in two segments, Degree Program and Alternative Credential. The Degree Program segment provides the technology and services to nonprofit colleges and universities to enable the online delivery of degree programs. This segment targets students seeking an undergraduate or graduate degree. The Alternative Credential segment offers online short courses, and technical and skills-based boot camps through nonprofit colleges and universities. This segment targets students seeking to reskill or upskill through shorter duration and lower-priced offerings. It also provides 2UOS, a platform that provides front-end and back-end cloud-based SaaS technology and technology-enabled services. The company was formerly known as 2Tor Inc. and changed its name to 2U, Inc. in October 2012. 2U, Inc. was founded in 2008 and is headquartered in Lanham, Maryland.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3D Systems</td>\n",
       "      <td>DDD</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3D Systems Corporation, through its subsidiaries, provides 3D printing and digital manufacturing solutions in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. The company offers 3D printers, such as stereolithography, selective laser sintering, direct metal printing, multi jet printing, and color jet printers that transform digital data input generated by 3D design software, computer aided design (CAD) software, or other 3D design tools into printed parts under the Accura, DuraForm, LaserForm, CastForm, and VisiJet brand names. It also develops, blends, and markets various print materials, such as plastic, nylon, metal, composite, elastomeric, wax, polymeric dental, and Class IV bio-compatible materials. In addition, the company provides digital design tools, including software, scanners, and haptic devices, as well as solutions for product design, mold and die design, 3D scan-to-print, reverse engineering, production machining, metrology, and inspection under the Geomagic brand. Further, it offers 3D Sprint and 3DXpert, a proprietary software to prepare and optimize CAD data and manage the additive manufacturing processes, which provides automated support building and placement, build platform management, and print queue management; and 3D virtual reality simulators and simulator modules for medical applications under the Simbionix brand, and digitizing scanners for medical and mechanical applications. Additionally, the company provides warranty, maintenance, and training services; on-demand manufacturing solutions; and software and precision healthcare services. It primarily serves companies and small and midsize businesses in medical, dental, automotive, aerospace, durable good, government, defense, technology, jewelry, electronic, education, consumer good, energy, and other industries through direct sales force, as well as partner channels and distributors. The company was founded in 1986 and is headquartered in Rock Hill, South Carolina.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6D Global Technologies</td>\n",
       "      <td>SIXD</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6D Global Technologies, Inc. provides digital business solutions serving the digital marketing and technology needs of global organizations worldwide. The company's service portfolio includes mobile application development, digital and content management, marketing data analysis, marketing and creative solutions, and information technology (IT) infrastructure staffing. It provides Web content management, Web analytics, marketing automation, mobile applications, business intelligence, and marketing cloud services. The company also offers contract and contract-to-hire IT professional staffing services. It serves the Fortune 500 commercial, nonprofit, and public sector enterprises in various industries comprising healthcare, consumer, education, manufacturing, and high tech sectors. 6D Global Technologies, Inc. is headquartered in New York, New York.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8x8 Inc</td>\n",
       "      <td>EGHT</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8x8, Inc. provides voice, video, chat, contact center, and enterprise-class application programmable interface (API) Software-as-a-Service solutions for small and mid-size businesses, mid-market and larger enterprises, government agencies, and other organizations worldwide. It offers unified communications, team collaboration, video conferencing, contact center, data and analytics, communication APIs, and other services. The company provides 8x8 Work, a self-contained end-to-end united communications solution that delivers enterprise voice with public switched telephone network connectivity, video meetings, and unified messaging; 8x8 Contact Center, a multi-channel cloud-based contact center solution; and 8x8 Meet, a cloud-based video conferencing and collaboration solution that enables secure and continuous collaboration with borderless high definition video and audio communications from mobile and desktop devices. It also offers 8x8 Team Messaging, an integrated open team messaging platform, which facilitate modern modes of communication with support for direct messages, public and private team messaging rooms, short messaging service, presence, emojis, and Â@ mentions'; 8x8 CPaaS, a set of global communications Platform-as-a-Service; and X1 through X4 and X5 through X8, which provide enterprise-grade voice, unified communications, and video meetings and team collaboration, and contact centre solutions. The company markets its services to end users through search engine marketing and optimization, third-party lead generation sources, industry conferences, trade shows, Webinars, and digital advertising channels, as well as direct sales organization. 8x8, Inc. was incorporated in 1987 and is headquartered in Campbell, California.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>A10 Networks</td>\n",
       "      <td>ATEN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>A10 Networks, Inc. provides networking solutions in the United States, Japan, other Asia Pacific, and EMEA countries. The company offers Thunder Application Delivery Controller (ADC) that provides advanced server load balancing; Lightning ADC, a cloud-native software-as-a-service platform to boost the delivery and security of applications and micro services; and Thunder Carrier Grade Networking product, which offers standards-compliant address and protocol translation services for service provider networks. It also provides Thunder Threat Protection System (TPS) for the protection of networks and server resources against massive distributed denial of service attacks; Thunder Secure Sockets Layer (SSL) Insight solution that decrypts SSL-encrypted traffic and forwards it to a third-party security device for deep packet inspection; and Thunder Convergent Firewall, which addresses various critical security capabilities in one package by consolidating various security and networking functions in a single appliance. In addition, the company offers intelligent management and automation tools comprising harmony controller that provides intelligent management, automation, and analytics for secure application delivery in multi-cloud environment; and aGalaxy TPS, a multi-device network management solution. The company delivers its solutions on optimized hardware appliances, bare metal software, containerized software, virtual appliances, and cloud-native software. It serves cloud providers, service providers, government organizations, and enterprises in the telecommunications, technology, industrial, retail, government, financial, gaming, and education industries. The company markets its products through sales organizations, as well as distribution channel partners, including distributors, value added resellers, and system integrators. A10 Networks, Inc. was incorporated in 2004 and is headquartered in San Jose, California.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>AAC Technologies Holdings</td>\n",
       "      <td>AACAY</td>\n",
       "      <td>5.0</td>\n",
       "      <td>AAC Technologies Holdings Inc., an investment holding company, provides solutions to enhance user experience of smart mobile devices in Mainland China, Hong Kong SAR, Taiwan, other Asian countries, the United States, and Europe. It operates through Dynamic Components, Electromagnetic Drives and Precision Mechanics, Optics Products, Micro Electro-Mechanical System Components, and Other Products segments. The company researches, develops, manufactures, and sells acoustic products, electronic components, tooling and precision components, and electronics related accessories and components; and offers electroplating services. Its products include stereo sound, glass and metal processing, haptic, optic, digital microphone, and RF antenna products. The company was formerly known as AAC Acoustic Technologies Holdings Inc. and changed its name to AAC Technologies Holdings Inc. in May 2011. AAC Technologies Holdings Inc. was founded in 1993 and is headquartered in Shenzhen, the People's Republic of China.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Aastrom Biosciences</td>\n",
       "      <td>astm</td>\n",
       "      <td>4.0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Abattis Bioceuticals</td>\n",
       "      <td>attbf</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Abattis Bioceuticals Corp. operates as a life sciences and biotechnology company in Canada. The company develops and licenses natural health products, medicines, extractions, and ingredients for the biological, nutraceutical, bioceutical, and cosmetic markets. It also provides Comfort, a cannabinoid enhanced nutraceutical for pain and inflammation; and Health-Canada licensed services for the cannabis industry. The company was formerly known as Abattis Biologix Corporation and changed its name to Abattis Bioceuticals Corporation in September 2012. Abattis Bioceuticals Corp. was incorporated in 1997 and is headquartered in Vancouver, Canada.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>"
      ],
      "text/plain": [
       "                         name name_ticker  lenticker  \\\n",
       "0                    21viaNet        VNET        4.0   \n",
       "1          22nd Century Group        XXII        4.0   \n",
       "2                     2U Inc.        TWOU        4.0   \n",
       "3                  3D Systems         DDD        3.0   \n",
       "6      6D Global Technologies        SIXD        4.0   \n",
       "7                     8x8 Inc        EGHT        4.0   \n",
       "8                A10 Networks        ATEN        4.0   \n",
       "11  AAC Technologies Holdings       AACAY        5.0   \n",
       "12        Aastrom Biosciences        astm        4.0   \n",
       "13       Abattis Bioceuticals       attbf        5.0   \n",
       "\n",
       "                                          description  \n",
       "0   VNET Group, Inc., an investment holding compan...  \n",
       "1   22nd Century Group, Inc., a biotechnology comp...  \n",
       "2   2U, Inc. operates as an education technology c...  \n",
       "3   3D Systems Corporation, through its subsidiari...  \n",
       "6   6D Global Technologies, Inc. provides digital ...  \n",
       "7   8x8, Inc. provides voice, video, chat, contact...  \n",
       "8   A10 Networks, Inc. provides networking solutio...  \n",
       "11  AAC Technologies Holdings Inc., an investment ...  \n",
       "12                                               None  \n",
       "13  Abattis Bioceuticals Corp. operates as a life ...  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1_a['description'] = description\n",
    "df1_a.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e8f458a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1_a.to_csv(\"scrapping_tickers_description.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a28d3112",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><div id=dae04628-e143-477d-892a-b5aea74e47ec style=\"display:none; background-color:#9D6CFF; color:white; width:200px; height:30px; padding-left:5px; border-radius:4px; flex-direction:row; justify-content:space-around; align-items:center;\" onmouseover=\"this.style.backgroundColor='#BA9BF8'\" onmouseout=\"this.style.backgroundColor='#9D6CFF'\" onclick=\"window.commands?.execute('create-mitosheet-from-dataframe-output');\">See Full Dataframe in Mito</div> <script> if (window.commands.hasCommand('create-mitosheet-from-dataframe-output')) document.getElementById('dae04628-e143-477d-892a-b5aea74e47ec').style.display = 'flex' </script> <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>name_ticker</th>\n",
       "      <th>lenticker</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>21viaNet</td>\n",
       "      <td>VNET</td>\n",
       "      <td>4.0</td>\n",
       "      <td>VNET Group, Inc., an investment holding company, provides hosting and related services to Internet companies, government entities, blue-chip enterprises, and small-to mid-sized enterprises in the People's Republic of China. It offers hosting and related services to house servers and networking equipment in its data centers, and connects them through a data transmission network. The company's hosting and related services include managed hosting services that offer data center space to house its customers' servers and networking equipment, and provide tailored server administration services; and interconnectivity services that enable customers to connect their servers with internet backbones and other networks through its border gateway protocol network or single-line, dual-line, or multiple-line network. Its hosting and related services also comprise cloud services that enable businesses to run their applications over the internet using its IT infrastructure; virtual private network services; hybrid IT Services, which provide customers with a complete package of infrastructure service offerings; and other value-added services, such as firewall, server load balancing, data backup and recovery, data center management, server management, and backup server services. In addition, the company provides traffic charts and analysis, gateway monitoring for servers, domain name system setup, defense mechanism against distributed denial of service attacks, basic setting of switches and routers, and virus protections; and managed network service. As of December 31, 2020, it operated 32 self-built data centers housing 49,876 cabinets and 52 partnered data centers housing with 3,677 cabinets. It has a strategic partnership with Microsoft Corporation. The company was formerly known as 21Vianet Group, Inc. and changed its name to VNET Group, Inc. in October 2021. VNET Group, Inc. was founded in 1999 and is headquartered in Beijing, the People's Republic of China.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>22nd Century Group</td>\n",
       "      <td>XXII</td>\n",
       "      <td>4.0</td>\n",
       "      <td>22nd Century Group, Inc., a biotechnology company, develops plant-based solutions for the life science, consumer product, and pharmaceutical markets. It develops very low nicotine content tobacco and cigarette products under the Moonlight and Moonlight Menthol names; and SPECTRUM research cigarettes for use in independent clinical studies. 22nd Century Group, Inc. has collaboration with Keygene N.V. to develop hemp/cannabis plants for exceptional cannabinoid profiles and other superior agronomic traits for medical, therapeutic, and agricultural uses, as well as other applications. 22nd Century Group, Inc. was founded in 1998 and is headquartered in Buffalo, New York.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>"
      ],
      "text/plain": [
       "                 name name_ticker  lenticker  \\\n",
       "0            21viaNet        VNET        4.0   \n",
       "1  22nd Century Group        XXII        4.0   \n",
       "\n",
       "                                         description  \n",
       "0  VNET Group, Inc., an investment holding compan...  \n",
       "1  22nd Century Group, Inc., a biotechnology comp...  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1_a = pd.read_csv(\"scrapping_tickers_description.csv\").drop([\"Unnamed: 0\"], axis=1)\n",
    "df1_a.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "632c8afb",
   "metadata": {},
   "outputs": [],
   "source": [
    "text = ' '.join(df1_a.name_ticker)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "2cb22599",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "'VNET XXII TWOU DDD SIXD EGHT ATEN AACAY astm attbf ABB ABT ABLX ABHDD AC.TO actg ACAD ACNV AXDX xlrn NGM ACCO ACRX AKAOQ ACHN ACRS acor ACINX AMCY atnm ON acur ACUS adms ADMP ADAP ADTM ADXN ADUS ADPTQ ADMA ADP news adxs aehr aeri aro AEMD AFMD agen AGRX AGIO ANTE MIMO akba ALRM ALDX alxn baba ALGN ALIM ADGL agy.l NPCUF ALL ALNY AOSL atec ATGN AMRN BRJ.F AMZN AMBA AMBO MGP.L ammj GNOW adge DGX AMGN AFSLF fold ampe APPB AMSC AMRS ANAC news ANGI v1 ANTH AOXG APIC ARI APPF AAPL apdn AGTC amnl AAOI AQB abio rkda ARDX ARNA ACRE argx RWLK args art.v ASPW arql Arry arraf ARWR ASND ASTI aspn AZPN ASUR CLKS atra athn ATHX ATOS atrc attu life AEYE ausi 1 adat GCEH aveo AVGR AVA avu.v ACLS AXPWQ AXGN BA.L BIDU BLDP BGO.L BZUN BNED cuda bcon BLCM BNFT ekso BYOC BGMD BPTH BIOC BCRX BDSI BIOL blrx ABMT BVXV ANIP bota BT6.F BTCS BB BERI NILE BLUE BFLY bphx bpmc bmc BK BODY WIFI bosc EPAY BVX BOX BCLI BWAY BLIN BCOV BMY BR prss CAMP CALB CALA CALX ROXIF CATC CSIQ CGIX CANF CARA CBYL cdxi CAH CSII CSII crxm CPYT CASY CSLT CATB cvat CAVM DEL CDEX CDW CDR CVM LCTX CLDN cldx CLSN aktx SRE CNC CRNT CERC cwr.l CERU CERS cfbk CSBR ECOM CTHR CRL CHTR chek CHKP CHGG CCXI chma CMRX CBPO ccih CNET CDXC CDTX CIDM CSCO CBLI CLVS CNS CDRBQ CDXS ccoi CHRS COLL KNIT news CMCSA CBSH cce.v COMM CYRN cob CODI CHCR SCOR CNCE CFMS CNXR CORT CORR CORI CRMD csod CRSR SBBP COTY QUOT CREE CXDO CRTO CROX CRSS crwg CRMBQ CRY CSX TCOM CUBE CUI CRIS cvt CYBR CYCC cbay cydy CYTK AURX ctmx cytr dang DQ dwch DTEA NEE DMPWW DLPH dmd DWRE DNACF depo dsci DXCM DRNA DKS DIGP DGLY DIOD dprx DSS TDS DD DRRX dyai dysl DYNT ETEK EGRX v1 ESYL EBAY ebix Elon ECHO ECTE EGLTQ EBIO ELTP EMKR EBS ena.v ENTA ENB ECYT elgx EFOI Enoc el.v ENPH ETRM EVC ENV EPAM epaz epzm EFX EQIX ESE ESPR ETSY INVO TSLA evti EVOK EVH exas stay EYEG FB frp fate FEYE FDC FSLR FIVE fprx FIVN FLT FLEX flxn FPAY FLEX fldm FTNT TLK.V v1 NXPI FMS FCEL GAIAX GCAP glpg GMTN news GENE news GD GE GNBT GCO GENE 1 GEOS govx GERN GEVO GGLT GIGA GIGM gimo GKOS GBT GLOB GBIM GMED GLRI gluu glyc gogo GSS news GOOG GPRO GBEI GREE GDOT GWTI GRPN GBLX PHOT GRUB GTAT GTX fv GTHP gwph HSITF HALO hqcl HCI HDVY HQY HSTM HEWA hway HTBX AMHD pacb HSKA HGGGQ ONE HSTO HOLx HBCP HON hzd.l HRZN HZNP HDP HTGM HUBS HYGN HDII ICAD ICON IPWR INVE IDRA kang IWSY AXSM IMO.L IMNPQ JNJ IMGN immu IMM.L IMH impv immy impr IMRSQ IBTX INFN infi 2IB.F INGN IPHI INPC INSM NSPR INST PODD NTEC IGAP igxt iqnt IDN INS icpt icld ICE itmsf igldf IPLY XENT INTU INVN invt GMVD NVTA IVTY IPSI IRWD TA8.F ions ITM.L v1 IZEA JACK JAGX jay.l JAZZ JD JTPY JMEI JNPR LRN KTWO HGEN XNET KPTI kmph KEYW news KC KIOR GAME KZ KOS SGTB LJPC DRIO SR LTRX LDK LDRH LC LEN LNVGY v1 lvlt LXRX LBTYA LCTC LOCK LFVN lgnd LSCG LITB LWLG LIME LIN LQMT LPSN LVCLY lixt LOCMQ LMT logm PATH WDC MTSI mcur MGNX mgic mnsb MMYT MNTX MNKD MARA MRIN MRNS mkto INFO MBII MTLS matr MMS MXL mck REFG MNOV MDGS MDWD MIR.V MD MTACU meip SSKN t MEMS mack mtst mu MVIS MLSS MIME MNDO NERV MG mitk MMM MOBL MOBQ MODN MOGO MOH LZ1.F MPWR MORN MOR MRC MVBF news MYR=X MYSZ ALPN NABI NBRV NNDM NSHSF NSTG NTSFF nnvc nbio NTCXF NTRA navb NCR NKTR NEO NEON NPTN NTE.F NEPH nete NTES NFLX NTGR NLST NTWK NTIP NBIX NURO NVRO NEWR NWSA NYT TER NTMD NOAH NRTSF NTCXF NRTHF NWBO NBY NVAX NQ=F nmrx nuva NVDA OPTT OCUL OMER OMBP ONDK ONXC ONCY ontx oncs OVIT ONSM OTEX opra OPGN OPK ORMP EORBF ORCT orex ogi ONVO OSIS OTIC ovas OSTK OXFD oxgn pacb peix PTN PANW panc P PCYG prkr PKT.V PCTY BTU PEB PEN PRFT WOOF pfnx PFSW FENG OPMG FORM PIRS PXH.F PMAH PSTI PTK.V ptla PBPB PPG PEYE PBIO PRMW PCAF GALT dnai PFM.V PRPH PRLB PSDV PTCT PBYI PURE pstg PTTL PYR QTWO QLIK QUAD QSII QTS QLYS PWR QMCO QTMM QRHC QNST qunr QTNT CSGS RXT RACK RDCM RSH rsys RDUS RKUNF RMBS RPD RTX REPH RDHL rgnx rgls MARK REGI RENN RGEN RPRX RSASF RESN GDPEF ryu.v RVNC RSTAY RIBT RIGL NAME RNET RNG RITT RLJE roam RKFL RCKZF col RMTI ROSGQ rpx.v rkus rvue RXII SB SAGE SAIC crm SLNM sgmo SNWR SAP SPNS SRPT SBRCY SCIO TSCRF SCYX seab SEAC STX SGEN SMLR SQNS ATNF mcrb NOW SREV SFBS SPX.L SFT SHOP 1 SIEN SSNI SINA WB Sirf SIRI SYKWF SNBR SMSI SNAP SNDX SPN.V SODA SOFT SOHU FSLR SCTY SEDG SWI SAH fv sphs SFUN EDTXF spdc SPLK sqd.v SQ spls SBUX UTHR USRM STXS SHC STE STL SSYS SPH NA.TO SNSS gomo RUN SCON supn sprwf SGRY scai srna sync SNYR snta sysx ttoo TNDM TEDU tgtx CNTFY TTGT TGEN TDOC telk TTCNF TCEHY TNGNQ TII.V terp tsro TSLA TTEK TLOG TTPH TXN TGTX TXMD tbph tbph STT TSL.L THLD TMDI TTNP TIVO IMUN tbra TOKTY TNXP MMX.L TSEM TCON VRTX trxc TTHI TRU trmr trvn TRMB TRN TSC TRIV REGN TRUE trup meds TUBE TOUR TWTR PRTS SLCA QMKR UI ULTA RARE ULBI ulur UNXLQ qure UNH UQM UR.TO usat utsi VRCA val.l VIT vnda VRNS VBIV VECO VEEV VPT.V VTYX VCYT VSTM VTEQ VZ VET vsar vrso VTNR VRTX VER VFC VSL VSAT VCST VIEW VGGL vktx vmem VIPS VIPS VHC VBAY VRTU VPG APVS VTGN 3VP.F Job VCRA VLX.L VNRX VLTCP VG VYGR VRNGW vuzi ttoo wfbi WVE W CSCO WK wssi PRO WHLR WSM WINMQ WIX WDAY xtly CDNA xncr xene XRX xing XL xoxo XPLR XTNT kji YELP YGYI yume YY ZAYO ZBRA ZEN ZGSI Z ZION ZIOP zgnx ZM v1 ZSAN ZYNE ZNGA'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "51fdaddc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*********************100%***********************]  1006 of 1006 completed\n",
      "\n",
      "204 Failed downloads:\n",
      "- ADGL: No data found for this date range, symbol may be delisted\n",
      "- KIOR: None\n",
      "- WSSI: None\n",
      "- 3VP.F: None\n",
      "- MEMS: None\n",
      "- HDP: No data found for this date range, symbol may be delisted\n",
      "- GWPH: No data found, symbol may be delisted\n",
      "- ARQL: No data found, symbol may be delisted\n",
      "- CCIH: No data found for this date range, symbol may be delisted\n",
      "- PRSS: No data found for this date range, symbol may be delisted\n",
      "- IMRSQ: None\n",
      "- PTTL: None\n",
      "- ONSM: No data found for this date range, symbol may be delisted\n",
      "- CORI: No data found for this date range, symbol may be delisted\n",
      "- RSYS: No data found for this date range, symbol may be delisted\n",
      "- CBLI: No data found, symbol may be delisted\n",
      "- ATTU: No data found, symbol may be delisted\n",
      "- SYNC: No data found, symbol may be delisted\n",
      "- V1: No data found, symbol may be delisted\n",
      "- TUBE: None\n",
      "- SCIO: No data found, symbol may be delisted\n",
      "- LDK: None\n",
      "- CREE: No data found, symbol may be delisted\n",
      "- TRIV: None\n",
      "- TSCRF: No data found, symbol may be delisted\n",
      "- MATR: No data found for this date range, symbol may be delisted\n",
      "- LOGM: No data found, symbol may be delisted\n",
      "- SNTA: None\n",
      "- SNSS: No data found, symbol may be delisted\n",
      "- DMPWW: No data found for this date range, symbol may be delisted\n",
      "- VRNGW: No data found, symbol may be delisted\n",
      "- CERC: No data found, symbol may be delisted\n",
      "- VSAR: None\n",
      "- WIFI: No data found, symbol may be delisted\n",
      "- DEPO: None\n",
      "- SEAB: None\n",
      "- VMEM: None\n",
      "- NEWS: None\n",
      "- YUME: None\n",
      "- ASTM: None\n",
      "- PEIX: No data found, symbol may be delisted\n",
      "- KEYW: No data found for this date range, symbol may be delisted\n",
      "- BMC: None\n",
      "- CERU: None\n",
      "- VRTU: No data found, symbol may be delisted\n",
      "- OREX: None\n",
      "- IVTY: No data found for this date range, symbol may be delisted\n",
      "- NTSFF: No data found, symbol may be delisted\n",
      "- CLDN: None\n",
      "- QTMM: No data found, symbol may be delisted\n",
      "- NMRX: None\n",
      "- DLPH: No data found, symbol may be delisted\n",
      "- PFNX: No data found, symbol may be delisted\n",
      "- TTHI: None\n",
      "- KZ: None\n",
      "- GCAP: No data found, symbol may be delisted\n",
      "- HQCL: No data found for this date range, symbol may be delisted\n",
      "- TELK: None\n",
      "- NAME: None\n",
      "- DWCH: No data found for this date range, symbol may be delisted\n",
      "- QSII: None\n",
      "- DANG: None\n",
      "- NTE.F: No data found for this date range, symbol may be delisted\n",
      "- ELGX: No data found, symbol may be delisted\n",
      "- PMAH: None\n",
      "- CGIX: No data found, symbol may be delisted\n",
      "- ABLX: No data found for this date range, symbol may be delisted\n",
      "- 2IB.F: None\n",
      "- DPRX: None\n",
      "- FRP: None\n",
      "- FPRX: No data found, symbol may be delisted\n",
      "- INPC: None\n",
      "- QTS: No data found, symbol may be delisted\n",
      "- TTPH: No data found, symbol may be delisted\n",
      "- AFSLF: None\n",
      "- SCON: No data found, symbol may be delisted\n",
      "- DNAI: None\n",
      "- GMTN: None\n",
      "- ORCT: None\n",
      "- MCUR: None\n",
      "- DEL: No data found for this date range, symbol may be delisted\n",
      "- SPLS: None\n",
      "- GTAT: No data found, symbol may be delisted\n",
      "- BPHX: None\n",
      "- BOTA: None\n",
      "- INVN: None\n",
      "- TERP: No data found, symbol may be delisted\n",
      "- LOCK: None\n",
      "- 1: No data found, symbol may be delisted\n",
      "- XOXO: No data found for this date range, symbol may be delisted\n",
      "- DSCI: None\n",
      "- ECYT: No data found for this date range, symbol may be delisted\n",
      "- ARO: None\n",
      "- FEYE: No data found, symbol may be delisted\n",
      "- RCKZF: None\n",
      "- ETRM: None\n",
      "- CUI: No data found, symbol may be delisted\n",
      "- KANG: No data found for this date range, symbol may be delisted\n",
      "- ARGS: None\n",
      "- OMBP: No data found, symbol may be delisted\n",
      "- LVLT: None\n",
      "- NABI: None\n",
      "- CSOD: No data found, symbol may be delisted\n",
      "- P: No data found for this date range, symbol may be delisted\n",
      "- RVUE: None\n",
      "- COB: None\n",
      "- STAY: No data found, symbol may be delisted\n",
      "- BCON: None\n",
      "- CBPO: No data found, symbol may be delisted\n",
      "- LDRH: None\n",
      "- IPHI: No data found, symbol may be delisted\n",
      "- BRJ.F: No data found for this date range, symbol may be delisted\n",
      "- BVX: None\n",
      "- ICON: No data found, symbol may be delisted\n",
      "- PTLA: No data found, symbol may be delisted\n",
      "- KJI: None\n",
      "- RNET: No data found, symbol may be delisted\n",
      "- GIMO: None\n",
      "- DWRE: None\n",
      "- WFBI: None\n",
      "- TBRA: None\n",
      "- AKAOQ: No data found, symbol may be delisted\n",
      "- IMMY: None\n",
      "- PCAF: None\n",
      "- XPLR: No data found for this date range, symbol may be delisted\n",
      "- ADAT: None\n",
      "- CDEX: No data found for this date range, symbol may be delisted\n",
      "- PANC: None\n",
      "- RXII: None\n",
      "- BT6.F: No data found for this date range, symbol may be delisted\n",
      "- SCAI: None\n",
      "- WINMQ: No data found, symbol may be delisted\n",
      "- ADPTQ: None\n",
      "- QLIK: None\n",
      "- SBBP: No data found, symbol may be delisted\n",
      "- ELON: No data found for this date range, symbol may be delisted\n",
      "- SINA: No data found, symbol may be delisted\n",
      "- TIVO: No data found, symbol may be delisted\n",
      "- ONDK: No data found, symbol may be delisted\n",
      "- OVAS: None\n",
      "- QMKR: None\n",
      "- ZAYO: No data found, symbol may be delisted\n",
      "- CBYL: None\n",
      "- SPRWF: No data found, symbol may be delisted\n",
      "- DMD: None\n",
      "- VER: No data found, symbol may be delisted\n",
      "- SIRF: None\n",
      "- RSH: None\n",
      "- USAT: No data found, symbol may be delisted\n",
      "- RKUS: None\n",
      "- KTWO: No data found for this date range, symbol may be delisted\n",
      "- GOMO: No data found, symbol may be delisted\n",
      "- VBAY: No data found, symbol may be delisted\n",
      "- IQNT: None\n",
      "- LZ1.F: No data found for this date range, symbol may be delisted\n",
      "- THLD: None\n",
      "- ABHDD: None\n",
      "- ALXN: No data found, symbol may be delisted\n",
      "- XING: None\n",
      "- CATB: No data found, symbol may be delisted\n",
      "- APIC: None\n",
      "- XTLY: None\n",
      "- EBIO: None\n",
      "- HZD.L: No data found, symbol may be delisted\n",
      "- MKTO: None\n",
      "- UQM: No data found, symbol may be delisted\n",
      "- FDC: No data found, symbol may be delisted\n",
      "- CAVM: No data found for this date range, symbol may be delisted\n",
      "- UR.TO: No data found, symbol may be delisted\n",
      "- QUNR: None\n",
      "- OXFD: No data found, symbol may be delisted\n",
      "- ENOC: None\n",
      "- IMPR: None\n",
      "- SODA: No data found for this date range, symbol may be delisted\n",
      "- NTMD: None\n",
      "- JTPY: No data found for this date range, symbol may be delisted\n",
      "- JMEI: No data found, symbol may be delisted\n",
      "- SSNI: None\n",
      "- PSDV: None\n",
      "- GLUU: No data found, symbol may be delisted\n",
      "- VRSO: None\n",
      "- RLJE: No data found for this date range, symbol may be delisted\n",
      "- ADGE: None\n",
      "- CLKS: None\n",
      "- VIT: None\n",
      "- RACK: None\n",
      "- GAIAX: None\n",
      "- COL: No data found for this date range, symbol may be delisted\n",
      "- LIME: No data found for this date range, symbol may be delisted\n",
      "- OXGN: None\n",
      "- CNXR: No data found for this date range, symbol may be delisted\n",
      "- IMMU: No data found, symbol may be delisted\n",
      "- EGLTQ: No data found for this date range, symbol may be delisted\n",
      "- VGGL: No data found, symbol may be delisted\n",
      "- IMPV: No data found for this date range, symbol may be delisted\n",
      "- TRXC: No data found, symbol may be delisted\n",
      "- IMO.L: No data found, symbol may be delisted\n",
      "- ECTE: No data found, symbol may be delisted\n",
      "- TLK.V: No data found, symbol may be delisted\n",
      "- TSRO: No data found for this date range, symbol may be delisted\n",
      "- HWAY: None\n",
      "- MOBL: No data found for this date range, symbol may be delisted\n",
      "- VLTCP: None\n",
      "- NTEC: No data found, symbol may be delisted\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><div id=09904dc7-8a4d-4134-b411-8e3ac50ba76f style=\"display:none; background-color:#9D6CFF; color:white; width:200px; height:30px; padding-left:5px; border-radius:4px; flex-direction:row; justify-content:space-around; align-items:center;\" onmouseover=\"this.style.backgroundColor='#BA9BF8'\" onmouseout=\"this.style.backgroundColor='#9D6CFF'\" onclick=\"window.commands?.execute('create-mitosheet-from-dataframe-output');\">See Full Dataframe in Mito</div> <script> if (window.commands.hasCommand('create-mitosheet-from-dataframe-output')) document.getElementById('09904dc7-8a4d-4134-b411-8e3ac50ba76f').style.display = 'flex' </script> <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>1</th>\n",
       "      <th>2IB.F</th>\n",
       "      <th>3VP.F</th>\n",
       "      <th>AACAY</th>\n",
       "      <th>AAOI</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>ABB</th>\n",
       "      <th>ABHDD</th>\n",
       "      <th>ABIO</th>\n",
       "      <th>ABLX</th>\n",
       "      <th>ABMT</th>\n",
       "      <th>ABT</th>\n",
       "      <th>AC.TO</th>\n",
       "      <th>ACAD</th>\n",
       "      <th>ACCO</th>\n",
       "      <th>ACHN</th>\n",
       "      <th>ACINX</th>\n",
       "      <th>ACLS</th>\n",
       "      <th>ACNV</th>\n",
       "      <th>ACOR</th>\n",
       "      <th>ACRE</th>\n",
       "      <th>ACRS</th>\n",
       "      <th>ACRX</th>\n",
       "      <th>ACTG</th>\n",
       "      <th>ACUR</th>\n",
       "      <th>ACUS</th>\n",
       "      <th>ADAP</th>\n",
       "      <th>ADAT</th>\n",
       "      <th>ADGE</th>\n",
       "      <th>ADGL</th>\n",
       "      <th>ADMA</th>\n",
       "      <th>ADMP</th>\n",
       "      <th>ADMS</th>\n",
       "      <th>ADP</th>\n",
       "      <th>ADPTQ</th>\n",
       "      <th>ADTM</th>\n",
       "      <th>ADUS</th>\n",
       "      <th>ADXN</th>\n",
       "      <th>ADXS</th>\n",
       "      <th>AEHR</th>\n",
       "      <th>AEMD</th>\n",
       "      <th>AERI</th>\n",
       "      <th>AEYE</th>\n",
       "      <th>AFMD</th>\n",
       "      <th>AFSLF</th>\n",
       "      <th>AGEN</th>\n",
       "      <th>AGIO</th>\n",
       "      <th>AGRX</th>\n",
       "      <th>AGTC</th>\n",
       "      <th>AGY.L</th>\n",
       "      <th>AKAOQ</th>\n",
       "      <th>AKBA</th>\n",
       "      <th>AKTX</th>\n",
       "      <th>ALDX</th>\n",
       "      <th>ALGN</th>\n",
       "      <th>ALIM</th>\n",
       "      <th>ALL</th>\n",
       "      <th>ALNY</th>\n",
       "      <th>ALPN</th>\n",
       "      <th>ALRM</th>\n",
       "      <th>ALXN</th>\n",
       "      <th>AMBA</th>\n",
       "      <th>AMBO</th>\n",
       "      <th>AMCY</th>\n",
       "      <th>AMGN</th>\n",
       "      <th>AMHD</th>\n",
       "      <th>AMMJ</th>\n",
       "      <th>AMNL</th>\n",
       "      <th>AMPE</th>\n",
       "      <th>AMRN</th>\n",
       "      <th>AMRS</th>\n",
       "      <th>AMSC</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>ANAC</th>\n",
       "      <th>ANGI</th>\n",
       "      <th>ANIP</th>\n",
       "      <th>ANTE</th>\n",
       "      <th>ANTH</th>\n",
       "      <th>AOSL</th>\n",
       "      <th>AOXG</th>\n",
       "      <th>APDN</th>\n",
       "      <th>APIC</th>\n",
       "      <th>APPB</th>\n",
       "      <th>APPF</th>\n",
       "      <th>APVS</th>\n",
       "      <th>AQB</th>\n",
       "      <th>ARDX</th>\n",
       "      <th>ARGS</th>\n",
       "      <th>ARGX</th>\n",
       "      <th>ARI</th>\n",
       "      <th>ARNA</th>\n",
       "      <th>ARO</th>\n",
       "      <th>ARQL</th>\n",
       "      <th>ARRAF</th>\n",
       "      <th>ARRY</th>\n",
       "      <th>ART.V</th>\n",
       "      <th>ARWR</th>\n",
       "      <th>ASND</th>\n",
       "      <th>ASPN</th>\n",
       "      <th>ASPW</th>\n",
       "      <th>ASTI</th>\n",
       "      <th>ASTM</th>\n",
       "      <th>ASUR</th>\n",
       "      <th>ATEC</th>\n",
       "      <th>ATEN</th>\n",
       "      <th>ATGN</th>\n",
       "      <th>ATHN</th>\n",
       "      <th>ATHX</th>\n",
       "      <th>ATNF</th>\n",
       "      <th>ATNM</th>\n",
       "      <th>ATOS</th>\n",
       "      <th>ATRA</th>\n",
       "      <th>ATRC</th>\n",
       "      <th>ATTBF</th>\n",
       "      <th>ATTU</th>\n",
       "      <th>AURX</th>\n",
       "      <th>AUSI</th>\n",
       "      <th>AVA</th>\n",
       "      <th>AVEO</th>\n",
       "      <th>AVGR</th>\n",
       "      <th>AVU.V</th>\n",
       "      <th>AXDX</th>\n",
       "      <th>AXGN</th>\n",
       "      <th>AXPWQ</th>\n",
       "      <th>AXSM</th>\n",
       "      <th>AZPN</th>\n",
       "      <th>BA.L</th>\n",
       "      <th>BABA</th>\n",
       "      <th>BB</th>\n",
       "      <th>BCLI</th>\n",
       "      <th>BCON</th>\n",
       "      <th>BCOV</th>\n",
       "      <th>BCRX</th>\n",
       "      <th>BDSI</th>\n",
       "      <th>BERI</th>\n",
       "      <th>BFLY</th>\n",
       "      <th>BGMD</th>\n",
       "      <th>BGO.L</th>\n",
       "      <th>BIDU</th>\n",
       "      <th>BIOC</th>\n",
       "      <th>BIOL</th>\n",
       "      <th>BK</th>\n",
       "      <th>BLCM</th>\n",
       "      <th>BLDP</th>\n",
       "      <th>BLIN</th>\n",
       "      <th>BLRX</th>\n",
       "      <th>BLUE</th>\n",
       "      <th>BMC</th>\n",
       "      <th>BMY</th>\n",
       "      <th>BNED</th>\n",
       "      <th>BNFT</th>\n",
       "      <th>BODY</th>\n",
       "      <th>BOSC</th>\n",
       "      <th>BOTA</th>\n",
       "      <th>BOX</th>\n",
       "      <th>BPHX</th>\n",
       "      <th>BPMC</th>\n",
       "      <th>BPTH</th>\n",
       "      <th>BR</th>\n",
       "      <th>BRJ.F</th>\n",
       "      <th>BT6.F</th>\n",
       "      <th>BTCS</th>\n",
       "      <th>BTU</th>\n",
       "      <th>BVX</th>\n",
       "      <th>BVXV</th>\n",
       "      <th>BWAY</th>\n",
       "      <th>BYOC</th>\n",
       "      <th>BZUN</th>\n",
       "      <th>CAH</th>\n",
       "      <th>CALA</th>\n",
       "      <th>CALB</th>\n",
       "      <th>CALX</th>\n",
       "      <th>CAMP</th>\n",
       "      <th>CANF</th>\n",
       "      <th>CARA</th>\n",
       "      <th>CASY</th>\n",
       "      <th>CATB</th>\n",
       "      <th>CATC</th>\n",
       "      <th>CAVM</th>\n",
       "      <th>CBAY</th>\n",
       "      <th>CBLI</th>\n",
       "      <th>CBPO</th>\n",
       "      <th>CBSH</th>\n",
       "      <th>CBYL</th>\n",
       "      <th>CCE.V</th>\n",
       "      <th>CCIH</th>\n",
       "      <th>CCOI</th>\n",
       "      <th>CCXI</th>\n",
       "      <th>CDEX</th>\n",
       "      <th>CDNA</th>\n",
       "      <th>CDR</th>\n",
       "      <th>CDRBQ</th>\n",
       "      <th>CDTX</th>\n",
       "      <th>CDW</th>\n",
       "      <th>CDXC</th>\n",
       "      <th>CDXI</th>\n",
       "      <th>CDXS</th>\n",
       "      <th>CERC</th>\n",
       "      <th>CERS</th>\n",
       "      <th>CERU</th>\n",
       "      <th>CFBK</th>\n",
       "      <th>CFMS</th>\n",
       "      <th>CGIX</th>\n",
       "      <th>CHCR</th>\n",
       "      <th>CHEK</th>\n",
       "      <th>CHGG</th>\n",
       "      <th>CHKP</th>\n",
       "      <th>CHMA</th>\n",
       "      <th>CHRS</th>\n",
       "      <th>CHTR</th>\n",
       "      <th>CIDM</th>\n",
       "      <th>CLDN</th>\n",
       "      <th>CLDX</th>\n",
       "      <th>CLKS</th>\n",
       "      <th>CLSN</th>\n",
       "      <th>CLVS</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CMRX</th>\n",
       "      <th>CNC</th>\n",
       "      <th>CNCE</th>\n",
       "      <th>CNET</th>\n",
       "      <th>CNS</th>\n",
       "      <th>CNTFY</th>\n",
       "      <th>CNXR</th>\n",
       "      <th>COB</th>\n",
       "      <th>CODI</th>\n",
       "      <th>COL</th>\n",
       "      <th>COLL</th>\n",
       "      <th>COMM</th>\n",
       "      <th>CORI</th>\n",
       "      <th>CORR</th>\n",
       "      <th>CORT</th>\n",
       "      <th>COTY</th>\n",
       "      <th>CPYT</th>\n",
       "      <th>CREE</th>\n",
       "      <th>CRIS</th>\n",
       "      <th>CRL</th>\n",
       "      <th>CRM</th>\n",
       "      <th>CRMBQ</th>\n",
       "      <th>CRMD</th>\n",
       "      <th>CRNT</th>\n",
       "      <th>CROX</th>\n",
       "      <th>CRSR</th>\n",
       "      <th>CRSS</th>\n",
       "      <th>CRTO</th>\n",
       "      <th>CRWG</th>\n",
       "      <th>CRXM</th>\n",
       "      <th>CRY</th>\n",
       "      <th>CSBR</th>\n",
       "      <th>CSCO</th>\n",
       "      <th>CSGS</th>\n",
       "      <th>CSII</th>\n",
       "      <th>CSIQ</th>\n",
       "      <th>CSLT</th>\n",
       "      <th>CSOD</th>\n",
       "      <th>CSX</th>\n",
       "      <th>CTHR</th>\n",
       "      <th>CTMX</th>\n",
       "      <th>CUBE</th>\n",
       "      <th>CUDA</th>\n",
       "      <th>CUI</th>\n",
       "      <th>CVAT</th>\n",
       "      <th>CVM</th>\n",
       "      <th>CVT</th>\n",
       "      <th>CWR.L</th>\n",
       "      <th>CXDO</th>\n",
       "      <th>CYBR</th>\n",
       "      <th>CYCC</th>\n",
       "      <th>CYDY</th>\n",
       "      <th>CYRN</th>\n",
       "      <th>CYTK</th>\n",
       "      <th>CYTR</th>\n",
       "      <th>DANG</th>\n",
       "      <th>DD</th>\n",
       "      <th>DDD</th>\n",
       "      <th>DEL</th>\n",
       "      <th>DEPO</th>\n",
       "      <th>DGLY</th>\n",
       "      <th>DGX</th>\n",
       "      <th>DIGP</th>\n",
       "      <th>DIOD</th>\n",
       "      <th>DKS</th>\n",
       "      <th>DLPH</th>\n",
       "      <th>DMD</th>\n",
       "      <th>DMPWW</th>\n",
       "      <th>DNACF</th>\n",
       "      <th>DNAI</th>\n",
       "      <th>DPRX</th>\n",
       "      <th>DQ</th>\n",
       "      <th>DRIO</th>\n",
       "      <th>DRNA</th>\n",
       "      <th>DRRX</th>\n",
       "      <th>DSCI</th>\n",
       "      <th>DSS</th>\n",
       "      <th>DTEA</th>\n",
       "      <th>DWCH</th>\n",
       "      <th>DWRE</th>\n",
       "      <th>DXCM</th>\n",
       "      <th>DYAI</th>\n",
       "      <th>DYNT</th>\n",
       "      <th>DYSL</th>\n",
       "      <th>EBAY</th>\n",
       "      <th>EBIO</th>\n",
       "      <th>EBIX</th>\n",
       "      <th>EBS</th>\n",
       "      <th>ECHO</th>\n",
       "      <th>ECOM</th>\n",
       "      <th>ECTE</th>\n",
       "      <th>ECYT</th>\n",
       "      <th>EDTXF</th>\n",
       "      <th>EFOI</th>\n",
       "      <th>EFX</th>\n",
       "      <th>EGHT</th>\n",
       "      <th>EGLTQ</th>\n",
       "      <th>EGRX</th>\n",
       "      <th>EKSO</th>\n",
       "      <th>EL.V</th>\n",
       "      <th>ELGX</th>\n",
       "      <th>ELON</th>\n",
       "      <th>ELTP</th>\n",
       "      <th>EMKR</th>\n",
       "      <th>ENA.V</th>\n",
       "      <th>ENB</th>\n",
       "      <th>ENOC</th>\n",
       "      <th>ENPH</th>\n",
       "      <th>ENTA</th>\n",
       "      <th>ENV</th>\n",
       "      <th>EORBF</th>\n",
       "      <th>EPAM</th>\n",
       "      <th>EPAY</th>\n",
       "      <th>EPAZ</th>\n",
       "      <th>EPZM</th>\n",
       "      <th>EQIX</th>\n",
       "      <th>ESE</th>\n",
       "      <th>ESPR</th>\n",
       "      <th>ESYL</th>\n",
       "      <th>ETEK</th>\n",
       "      <th>ETRM</th>\n",
       "      <th>ETSY</th>\n",
       "      <th>EVC</th>\n",
       "      <th>EVH</th>\n",
       "      <th>EVOK</th>\n",
       "      <th>EVTI</th>\n",
       "      <th>EXAS</th>\n",
       "      <th>EYEG</th>\n",
       "      <th>FATE</th>\n",
       "      <th>FB</th>\n",
       "      <th>FCEL</th>\n",
       "      <th>FDC</th>\n",
       "      <th>FENG</th>\n",
       "      <th>FEYE</th>\n",
       "      <th>FIVE</th>\n",
       "      <th>FIVN</th>\n",
       "      <th>FLDM</th>\n",
       "      <th>FLEX</th>\n",
       "      <th>FLT</th>\n",
       "      <th>FLXN</th>\n",
       "      <th>FMS</th>\n",
       "      <th>FOLD</th>\n",
       "      <th>FORM</th>\n",
       "      <th>FPAY</th>\n",
       "      <th>FPRX</th>\n",
       "      <th>FRP</th>\n",
       "      <th>FSLR</th>\n",
       "      <th>FTNT</th>\n",
       "      <th>FV</th>\n",
       "      <th>GAIAX</th>\n",
       "      <th>GALT</th>\n",
       "      <th>GAME</th>\n",
       "      <th>GBEI</th>\n",
       "      <th>GBIM</th>\n",
       "      <th>GBLX</th>\n",
       "      <th>GBT</th>\n",
       "      <th>GCAP</th>\n",
       "      <th>GCEH</th>\n",
       "      <th>GCO</th>\n",
       "      <th>GD</th>\n",
       "      <th>GDOT</th>\n",
       "      <th>GDPEF</th>\n",
       "      <th>GE</th>\n",
       "      <th>GENE</th>\n",
       "      <th>GEOS</th>\n",
       "      <th>GERN</th>\n",
       "      <th>GEVO</th>\n",
       "      <th>GGLT</th>\n",
       "      <th>GIGA</th>\n",
       "      <th>GIGM</th>\n",
       "      <th>GIMO</th>\n",
       "      <th>GKOS</th>\n",
       "      <th>GLOB</th>\n",
       "      <th>GLPG</th>\n",
       "      <th>GLRI</th>\n",
       "      <th>GLUU</th>\n",
       "      <th>GLYC</th>\n",
       "      <th>GMED</th>\n",
       "      <th>GMTN</th>\n",
       "      <th>GMVD</th>\n",
       "      <th>GNBT</th>\n",
       "      <th>GNOW</th>\n",
       "      <th>GOGO</th>\n",
       "      <th>GOMO</th>\n",
       "      <th>GOOG</th>\n",
       "      <th>GOVX</th>\n",
       "      <th>GPRO</th>\n",
       "      <th>GREE</th>\n",
       "      <th>GRPN</th>\n",
       "      <th>GRUB</th>\n",
       "      <th>GSS</th>\n",
       "      <th>GTAT</th>\n",
       "      <th>GTHP</th>\n",
       "      <th>GTX</th>\n",
       "      <th>GWPH</th>\n",
       "      <th>GWTI</th>\n",
       "      <th>HALO</th>\n",
       "      <th>HBCP</th>\n",
       "      <th>HCI</th>\n",
       "      <th>HDII</th>\n",
       "      <th>HDP</th>\n",
       "      <th>HDVY</th>\n",
       "      <th>HEWA</th>\n",
       "      <th>HGEN</th>\n",
       "      <th>HGGGQ</th>\n",
       "      <th>HOLX</th>\n",
       "      <th>HON</th>\n",
       "      <th>HQCL</th>\n",
       "      <th>HQY</th>\n",
       "      <th>HRZN</th>\n",
       "      <th>HSITF</th>\n",
       "      <th>HSKA</th>\n",
       "      <th>HSTM</th>\n",
       "      <th>HSTO</th>\n",
       "      <th>HTBX</th>\n",
       "      <th>HTGM</th>\n",
       "      <th>HUBS</th>\n",
       "      <th>HWAY</th>\n",
       "      <th>HYGN</th>\n",
       "      <th>HZD.L</th>\n",
       "      <th>HZNP</th>\n",
       "      <th>IBTX</th>\n",
       "      <th>ICAD</th>\n",
       "      <th>ICE</th>\n",
       "      <th>ICLD</th>\n",
       "      <th>ICON</th>\n",
       "      <th>ICPT</th>\n",
       "      <th>IDN</th>\n",
       "      <th>IDRA</th>\n",
       "      <th>IGAP</th>\n",
       "      <th>IGLDF</th>\n",
       "      <th>IGXT</th>\n",
       "      <th>IMGN</th>\n",
       "      <th>IMH</th>\n",
       "      <th>IMM.L</th>\n",
       "      <th>IMMU</th>\n",
       "      <th>IMMY</th>\n",
       "      <th>IMNPQ</th>\n",
       "      <th>IMO.L</th>\n",
       "      <th>IMPR</th>\n",
       "      <th>IMPV</th>\n",
       "      <th>IMRSQ</th>\n",
       "      <th>IMUN</th>\n",
       "      <th>INFI</th>\n",
       "      <th>INFN</th>\n",
       "      <th>INFO</th>\n",
       "      <th>INGN</th>\n",
       "      <th>INPC</th>\n",
       "      <th>INS</th>\n",
       "      <th>INSM</th>\n",
       "      <th>INST</th>\n",
       "      <th>INTU</th>\n",
       "      <th>INVE</th>\n",
       "      <th>INVN</th>\n",
       "      <th>INVO</th>\n",
       "      <th>INVT</th>\n",
       "      <th>IONS</th>\n",
       "      <th>IPHI</th>\n",
       "      <th>IPLY</th>\n",
       "      <th>IPSI</th>\n",
       "      <th>IPWR</th>\n",
       "      <th>IQNT</th>\n",
       "      <th>IRWD</th>\n",
       "      <th>ITM.L</th>\n",
       "      <th>ITMSF</th>\n",
       "      <th>IVTY</th>\n",
       "      <th>IWSY</th>\n",
       "      <th>IZEA</th>\n",
       "      <th>JACK</th>\n",
       "      <th>JAGX</th>\n",
       "      <th>JAY.L</th>\n",
       "      <th>JAZZ</th>\n",
       "      <th>JD</th>\n",
       "      <th>JMEI</th>\n",
       "      <th>JNJ</th>\n",
       "      <th>JNPR</th>\n",
       "      <th>JOB</th>\n",
       "      <th>JTPY</th>\n",
       "      <th>KANG</th>\n",
       "      <th>KC</th>\n",
       "      <th>KEYW</th>\n",
       "      <th>KIOR</th>\n",
       "      <th>KJI</th>\n",
       "      <th>KMPH</th>\n",
       "      <th>KNIT</th>\n",
       "      <th>KOS</th>\n",
       "      <th>KPTI</th>\n",
       "      <th>KTWO</th>\n",
       "      <th>KZ</th>\n",
       "      <th>LBTYA</th>\n",
       "      <th>LC</th>\n",
       "      <th>LCTC</th>\n",
       "      <th>LCTX</th>\n",
       "      <th>LDK</th>\n",
       "      <th>LDRH</th>\n",
       "      <th>LEN</th>\n",
       "      <th>LFVN</th>\n",
       "      <th>LGND</th>\n",
       "      <th>LIFE</th>\n",
       "      <th>LIME</th>\n",
       "      <th>LIN</th>\n",
       "      <th>LITB</th>\n",
       "      <th>LIXT</th>\n",
       "      <th>LJPC</th>\n",
       "      <th>LMT</th>\n",
       "      <th>LNVGY</th>\n",
       "      <th>LOCK</th>\n",
       "      <th>LOCMQ</th>\n",
       "      <th>LOGM</th>\n",
       "      <th>LPSN</th>\n",
       "      <th>LQMT</th>\n",
       "      <th>LRN</th>\n",
       "      <th>LSCG</th>\n",
       "      <th>LTRX</th>\n",
       "      <th>LVCLY</th>\n",
       "      <th>LVLT</th>\n",
       "      <th>LWLG</th>\n",
       "      <th>LXRX</th>\n",
       "      <th>LZ1.F</th>\n",
       "      <th>MACK</th>\n",
       "      <th>MARA</th>\n",
       "      <th>MARK</th>\n",
       "      <th>MATR</th>\n",
       "      <th>MBII</th>\n",
       "      <th>MCK</th>\n",
       "      <th>MCRB</th>\n",
       "      <th>MCUR</th>\n",
       "      <th>MD</th>\n",
       "      <th>MDGS</th>\n",
       "      <th>MDWD</th>\n",
       "      <th>MEDS</th>\n",
       "      <th>MEIP</th>\n",
       "      <th>MEMS</th>\n",
       "      <th>MG</th>\n",
       "      <th>MGIC</th>\n",
       "      <th>MGNX</th>\n",
       "      <th>MGP.L</th>\n",
       "      <th>MIME</th>\n",
       "      <th>MIMO</th>\n",
       "      <th>MIR.V</th>\n",
       "      <th>MITK</th>\n",
       "      <th>MKTO</th>\n",
       "      <th>MLSS</th>\n",
       "      <th>MMM</th>\n",
       "      <th>MMS</th>\n",
       "      <th>MMX.L</th>\n",
       "      <th>MMYT</th>\n",
       "      <th>MNDO</th>\n",
       "      <th>MNKD</th>\n",
       "      <th>MNOV</th>\n",
       "      <th>MNSB</th>\n",
       "      <th>MNTX</th>\n",
       "      <th>MOBL</th>\n",
       "      <th>MOBQ</th>\n",
       "      <th>MODN</th>\n",
       "      <th>MOGO</th>\n",
       "      <th>MOH</th>\n",
       "      <th>MOR</th>\n",
       "      <th>MORN</th>\n",
       "      <th>MPWR</th>\n",
       "      <th>MRC</th>\n",
       "      <th>MRIN</th>\n",
       "      <th>MRNS</th>\n",
       "      <th>MTACU</th>\n",
       "      <th>MTLS</th>\n",
       "      <th>MTSI</th>\n",
       "      <th>MTST</th>\n",
       "      <th>MU</th>\n",
       "      <th>MVBF</th>\n",
       "      <th>MVIS</th>\n",
       "      <th>MXL</th>\n",
       "      <th>MYR=X</th>\n",
       "      <th>MYSZ</th>\n",
       "      <th>NA.TO</th>\n",
       "      <th>NABI</th>\n",
       "      <th>NAME</th>\n",
       "      <th>NAVB</th>\n",
       "      <th>NBIO</th>\n",
       "      <th>NBIX</th>\n",
       "      <th>NBRV</th>\n",
       "      <th>NBY</th>\n",
       "      <th>NCR</th>\n",
       "      <th>NEE</th>\n",
       "      <th>NEO</th>\n",
       "      <th>NEON</th>\n",
       "      <th>NEPH</th>\n",
       "      <th>NERV</th>\n",
       "      <th>NETE</th>\n",
       "      <th>NEWR</th>\n",
       "      <th>NEWS</th>\n",
       "      <th>NFLX</th>\n",
       "      <th>NGM</th>\n",
       "      <th>NILE</th>\n",
       "      <th>NKTR</th>\n",
       "      <th>NLST</th>\n",
       "      <th>NMRX</th>\n",
       "      <th>NNDM</th>\n",
       "      <th>NNVC</th>\n",
       "      <th>NOAH</th>\n",
       "      <th>NOW</th>\n",
       "      <th>NPCUF</th>\n",
       "      <th>NPTN</th>\n",
       "      <th>NQ=F</th>\n",
       "      <th>NRTHF</th>\n",
       "      <th>NRTSF</th>\n",
       "      <th>NSHSF</th>\n",
       "      <th>NSPR</th>\n",
       "      <th>NSTG</th>\n",
       "      <th>NTCXF</th>\n",
       "      <th>NTE.F</th>\n",
       "      <th>NTEC</th>\n",
       "      <th>NTES</th>\n",
       "      <th>NTGR</th>\n",
       "      <th>NTIP</th>\n",
       "      <th>NTMD</th>\n",
       "      <th>NTRA</th>\n",
       "      <th>NTSFF</th>\n",
       "      <th>NTWK</th>\n",
       "      <th>NURO</th>\n",
       "      <th>NUVA</th>\n",
       "      <th>NVAX</th>\n",
       "      <th>NVDA</th>\n",
       "      <th>NVRO</th>\n",
       "      <th>NVTA</th>\n",
       "      <th>NWBO</th>\n",
       "      <th>NWSA</th>\n",
       "      <th>NXPI</th>\n",
       "      <th>NYT</th>\n",
       "      <th>OCUL</th>\n",
       "      <th>OGI</th>\n",
       "      <th>OMBP</th>\n",
       "      <th>OMER</th>\n",
       "      <th>ON</th>\n",
       "      <th>ONCS</th>\n",
       "      <th>ONCY</th>\n",
       "      <th>ONDK</th>\n",
       "      <th>ONE</th>\n",
       "      <th>ONSM</th>\n",
       "      <th>ONTX</th>\n",
       "      <th>ONVO</th>\n",
       "      <th>ONXC</th>\n",
       "      <th>OPGN</th>\n",
       "      <th>OPK</th>\n",
       "      <th>OPMG</th>\n",
       "      <th>OPRA</th>\n",
       "      <th>OPTT</th>\n",
       "      <th>ORCT</th>\n",
       "      <th>OREX</th>\n",
       "      <th>ORMP</th>\n",
       "      <th>OSIS</th>\n",
       "      <th>OSTK</th>\n",
       "      <th>OTEX</th>\n",
       "      <th>OTIC</th>\n",
       "      <th>OVAS</th>\n",
       "      <th>OVIT</th>\n",
       "      <th>OXFD</th>\n",
       "      <th>OXGN</th>\n",
       "      <th>P</th>\n",
       "      <th>PACB</th>\n",
       "      <th>PANC</th>\n",
       "      <th>PANW</th>\n",
       "      <th>PATH</th>\n",
       "      <th>PBIO</th>\n",
       "      <th>PBPB</th>\n",
       "      <th>PBYI</th>\n",
       "      <th>PCAF</th>\n",
       "      <th>PCTY</th>\n",
       "      <th>PCYG</th>\n",
       "      <th>PEB</th>\n",
       "      <th>PEIX</th>\n",
       "      <th>PEN</th>\n",
       "      <th>PEYE</th>\n",
       "      <th>PFM.V</th>\n",
       "      <th>PFNX</th>\n",
       "      <th>PFSW</th>\n",
       "      <th>PHOT</th>\n",
       "      <th>PIRS</th>\n",
       "      <th>PKT.V</th>\n",
       "      <th>PMAH</th>\n",
       "      <th>PODD</th>\n",
       "      <th>PPG</th>\n",
       "      <th>PRFT</th>\n",
       "      <th>PRKR</th>\n",
       "      <th>PRLB</th>\n",
       "      <th>PRMW</th>\n",
       "      <th>PRO</th>\n",
       "      <th>PRPH</th>\n",
       "      <th>PRSS</th>\n",
       "      <th>PRTS</th>\n",
       "      <th>PSDV</th>\n",
       "      <th>PSTG</th>\n",
       "      <th>PSTI</th>\n",
       "      <th>PTCT</th>\n",
       "      <th>PTK.V</th>\n",
       "      <th>PTLA</th>\n",
       "      <th>PTN</th>\n",
       "      <th>PTTL</th>\n",
       "      <th>PURE</th>\n",
       "      <th>PWR</th>\n",
       "      <th>PXH.F</th>\n",
       "      <th>PYR</th>\n",
       "      <th>QLIK</th>\n",
       "      <th>QLYS</th>\n",
       "      <th>QMCO</th>\n",
       "      <th>QMKR</th>\n",
       "      <th>QNST</th>\n",
       "      <th>QRHC</th>\n",
       "      <th>QSII</th>\n",
       "      <th>QTMM</th>\n",
       "      <th>QTNT</th>\n",
       "      <th>QTS</th>\n",
       "      <th>QTWO</th>\n",
       "      <th>QUAD</th>\n",
       "      <th>QUNR</th>\n",
       "      <th>QUOT</th>\n",
       "      <th>QURE</th>\n",
       "      <th>RACK</th>\n",
       "      <th>RARE</th>\n",
       "      <th>RCKZF</th>\n",
       "      <th>RDCM</th>\n",
       "      <th>RDHL</th>\n",
       "      <th>RDUS</th>\n",
       "      <th>REFG</th>\n",
       "      <th>REGI</th>\n",
       "      <th>REGN</th>\n",
       "      <th>RENN</th>\n",
       "      <th>REPH</th>\n",
       "      <th>RESN</th>\n",
       "      <th>RGEN</th>\n",
       "      <th>RGLS</th>\n",
       "      <th>RGNX</th>\n",
       "      <th>RIBT</th>\n",
       "      <th>RIGL</th>\n",
       "      <th>RITT</th>\n",
       "      <th>RKDA</th>\n",
       "      <th>RKFL</th>\n",
       "      <th>RKUNF</th>\n",
       "      <th>RKUS</th>\n",
       "      <th>RLJE</th>\n",
       "      <th>RMBS</th>\n",
       "      <th>RMTI</th>\n",
       "      <th>RNET</th>\n",
       "      <th>RNG</th>\n",
       "      <th>ROAM</th>\n",
       "      <th>ROSGQ</th>\n",
       "      <th>ROXIF</th>\n",
       "      <th>RPD</th>\n",
       "      <th>RPRX</th>\n",
       "      <th>RPX.V</th>\n",
       "      <th>RSASF</th>\n",
       "      <th>RSH</th>\n",
       "      <th>RSTAY</th>\n",
       "      <th>RSYS</th>\n",
       "      <th>RTX</th>\n",
       "      <th>RUN</th>\n",
       "      <th>RVNC</th>\n",
       "      <th>RVUE</th>\n",
       "      <th>RWLK</th>\n",
       "      <th>RXII</th>\n",
       "      <th>RXT</th>\n",
       "      <th>RYU.V</th>\n",
       "      <th>SAGE</th>\n",
       "      <th>SAH</th>\n",
       "      <th>SAIC</th>\n",
       "      <th>SAP</th>\n",
       "      <th>SB</th>\n",
       "      <th>SBBP</th>\n",
       "      <th>SBRCY</th>\n",
       "      <th>SBUX</th>\n",
       "      <th>SCAI</th>\n",
       "      <th>SCIO</th>\n",
       "      <th>SCON</th>\n",
       "      <th>SCOR</th>\n",
       "      <th>SCTY</th>\n",
       "      <th>SCYX</th>\n",
       "      <th>SEAB</th>\n",
       "      <th>SEAC</th>\n",
       "      <th>SEDG</th>\n",
       "      <th>SFBS</th>\n",
       "      <th>SFT</th>\n",
       "      <th>SFUN</th>\n",
       "      <th>SGEN</th>\n",
       "      <th>SGMO</th>\n",
       "      <th>SGRY</th>\n",
       "      <th>SGTB</th>\n",
       "      <th>SHC</th>\n",
       "      <th>SHOP</th>\n",
       "      <th>SIEN</th>\n",
       "      <th>SINA</th>\n",
       "      <th>SIRF</th>\n",
       "      <th>SIRI</th>\n",
       "      <th>SIXD</th>\n",
       "      <th>SLCA</th>\n",
       "      <th>SLNM</th>\n",
       "      <th>SMLR</th>\n",
       "      <th>SMSI</th>\n",
       "      <th>SNAP</th>\n",
       "      <th>SNBR</th>\n",
       "      <th>SNDX</th>\n",
       "      <th>SNSS</th>\n",
       "      <th>SNTA</th>\n",
       "      <th>SNWR</th>\n",
       "      <th>SNYR</th>\n",
       "      <th>SODA</th>\n",
       "      <th>SOFT</th>\n",
       "      <th>SOHU</th>\n",
       "      <th>SPDC</th>\n",
       "      <th>SPH</th>\n",
       "      <th>SPHS</th>\n",
       "      <th>SPLK</th>\n",
       "      <th>SPLS</th>\n",
       "      <th>SPN.V</th>\n",
       "      <th>SPNS</th>\n",
       "      <th>SPRWF</th>\n",
       "      <th>SPX.L</th>\n",
       "      <th>SQ</th>\n",
       "      <th>SQD.V</th>\n",
       "      <th>SQNS</th>\n",
       "      <th>SR</th>\n",
       "      <th>SRE</th>\n",
       "      <th>SREV</th>\n",
       "      <th>SRNA</th>\n",
       "      <th>SRPT</th>\n",
       "      <th>SSKN</th>\n",
       "      <th>SSNI</th>\n",
       "      <th>SSYS</th>\n",
       "      <th>STAY</th>\n",
       "      <th>STE</th>\n",
       "      <th>STL</th>\n",
       "      <th>STT</th>\n",
       "      <th>STX</th>\n",
       "      <th>STXS</th>\n",
       "      <th>SUPN</th>\n",
       "      <th>SWI</th>\n",
       "      <th>SYKWF</th>\n",
       "      <th>SYNC</th>\n",
       "      <th>SYSX</th>\n",
       "      <th>T</th>\n",
       "      <th>TA8.F</th>\n",
       "      <th>TBPH</th>\n",
       "      <th>TBRA</th>\n",
       "      <th>TCEHY</th>\n",
       "      <th>TCOM</th>\n",
       "      <th>TCON</th>\n",
       "      <th>TDOC</th>\n",
       "      <th>TDS</th>\n",
       "      <th>TEDU</th>\n",
       "      <th>TELK</th>\n",
       "      <th>TER</th>\n",
       "      <th>TERP</th>\n",
       "      <th>TGEN</th>\n",
       "      <th>TGTX</th>\n",
       "      <th>THLD</th>\n",
       "      <th>TII.V</th>\n",
       "      <th>TIVO</th>\n",
       "      <th>TLK.V</th>\n",
       "      <th>TLOG</th>\n",
       "      <th>TMDI</th>\n",
       "      <th>TNDM</th>\n",
       "      <th>TNGNQ</th>\n",
       "      <th>TNXP</th>\n",
       "      <th>TOKTY</th>\n",
       "      <th>TOUR</th>\n",
       "      <th>TRIV</th>\n",
       "      <th>TRMB</th>\n",
       "      <th>TRMR</th>\n",
       "      <th>TRN</th>\n",
       "      <th>TRU</th>\n",
       "      <th>TRUE</th>\n",
       "      <th>TRUP</th>\n",
       "      <th>TRVN</th>\n",
       "      <th>TRXC</th>\n",
       "      <th>TSC</th>\n",
       "      <th>TSCRF</th>\n",
       "      <th>TSEM</th>\n",
       "      <th>TSL.L</th>\n",
       "      <th>TSLA</th>\n",
       "      <th>TSRO</th>\n",
       "      <th>TTCNF</th>\n",
       "      <th>TTEK</th>\n",
       "      <th>TTGT</th>\n",
       "      <th>TTHI</th>\n",
       "      <th>TTNP</th>\n",
       "      <th>TTOO</th>\n",
       "      <th>TTPH</th>\n",
       "      <th>TUBE</th>\n",
       "      <th>TWOU</th>\n",
       "      <th>TWTR</th>\n",
       "      <th>TXMD</th>\n",
       "      <th>TXN</th>\n",
       "      <th>UI</th>\n",
       "      <th>ULBI</th>\n",
       "      <th>ULTA</th>\n",
       "      <th>ULUR</th>\n",
       "      <th>UNH</th>\n",
       "      <th>UNXLQ</th>\n",
       "      <th>UQM</th>\n",
       "      <th>UR.TO</th>\n",
       "      <th>USAT</th>\n",
       "      <th>USRM</th>\n",
       "      <th>UTHR</th>\n",
       "      <th>UTSI</th>\n",
       "      <th>V1</th>\n",
       "      <th>VAL.L</th>\n",
       "      <th>VBAY</th>\n",
       "      <th>VBIV</th>\n",
       "      <th>VCRA</th>\n",
       "      <th>VCST</th>\n",
       "      <th>VCYT</th>\n",
       "      <th>VECO</th>\n",
       "      <th>VEEV</th>\n",
       "      <th>VER</th>\n",
       "      <th>VET</th>\n",
       "      <th>VFC</th>\n",
       "      <th>VG</th>\n",
       "      <th>VGGL</th>\n",
       "      <th>VHC</th>\n",
       "      <th>VIEW</th>\n",
       "      <th>VIPS</th>\n",
       "      <th>VIT</th>\n",
       "      <th>VKTX</th>\n",
       "      <th>VLTCP</th>\n",
       "      <th>VLX.L</th>\n",
       "      <th>VMEM</th>\n",
       "      <th>VNDA</th>\n",
       "      <th>VNET</th>\n",
       "      <th>VNRX</th>\n",
       "      <th>VPG</th>\n",
       "      <th>VPT.V</th>\n",
       "      <th>VRCA</th>\n",
       "      <th>VRNGW</th>\n",
       "      <th>VRNS</th>\n",
       "      <th>VRSO</th>\n",
       "      <th>VRTU</th>\n",
       "      <th>VRTX</th>\n",
       "      <th>VSAR</th>\n",
       "      <th>VSAT</th>\n",
       "      <th>VSL</th>\n",
       "      <th>VSTM</th>\n",
       "      <th>VTEQ</th>\n",
       "      <th>VTGN</th>\n",
       "      <th>VTNR</th>\n",
       "      <th>VTYX</th>\n",
       "      <th>VUZI</th>\n",
       "      <th>VYGR</th>\n",
       "      <th>VZ</th>\n",
       "      <th>W</th>\n",
       "      <th>WB</th>\n",
       "      <th>WDAY</th>\n",
       "      <th>WDC</th>\n",
       "      <th>WFBI</th>\n",
       "      <th>WHLR</th>\n",
       "      <th>WIFI</th>\n",
       "      <th>WINMQ</th>\n",
       "      <th>WIX</th>\n",
       "      <th>WK</th>\n",
       "      <th>WOOF</th>\n",
       "      <th>WSM</th>\n",
       "      <th>WSSI</th>\n",
       "      <th>WVE</th>\n",
       "      <th>XENE</th>\n",
       "      <th>XENT</th>\n",
       "      <th>XING</th>\n",
       "      <th>XL</th>\n",
       "      <th>XLRN</th>\n",
       "      <th>XNCR</th>\n",
       "      <th>XNET</th>\n",
       "      <th>XOXO</th>\n",
       "      <th>XPLR</th>\n",
       "      <th>XRX</th>\n",
       "      <th>XTLY</th>\n",
       "      <th>XTNT</th>\n",
       "      <th>XXII</th>\n",
       "      <th>YELP</th>\n",
       "      <th>YGYI</th>\n",
       "      <th>YUME</th>\n",
       "      <th>YY</th>\n",
       "      <th>Z</th>\n",
       "      <th>ZAYO</th>\n",
       "      <th>ZBRA</th>\n",
       "      <th>ZEN</th>\n",
       "      <th>ZGNX</th>\n",
       "      <th>ZGSI</th>\n",
       "      <th>ZION</th>\n",
       "      <th>ZIOP</th>\n",
       "      <th>ZM</th>\n",
       "      <th>ZNGA</th>\n",
       "      <th>ZSAN</th>\n",
       "      <th>ZYNE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-08-02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.05</td>\n",
       "      <td>7.64</td>\n",
       "      <td>145.520004</td>\n",
       "      <td>36.430000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.08</td>\n",
       "      <td>120.919998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>8.83</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.570000</td>\n",
       "      <td>38.560001</td>\n",
       "      <td>0.00540</td>\n",
       "      <td>3.72</td>\n",
       "      <td>14.62</td>\n",
       "      <td>15.08</td>\n",
       "      <td>1.21</td>\n",
       "      <td>5.75</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.0130</td>\n",
       "      <td>3.58</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.11</td>\n",
       "      <td>5.00</td>\n",
       "      <td>209.449997</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0004</td>\n",
       "      <td>85.110001</td>\n",
       "      <td>9.080</td>\n",
       "      <td>0.440</td>\n",
       "      <td>5.73</td>\n",
       "      <td>5.07</td>\n",
       "      <td>15.87</td>\n",
       "      <td>13.63</td>\n",
       "      <td>6.91</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.29</td>\n",
       "      <td>48.189999</td>\n",
       "      <td>1.22</td>\n",
       "      <td>3.64</td>\n",
       "      <td>26.85</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.60</td>\n",
       "      <td>1.64</td>\n",
       "      <td>9.02</td>\n",
       "      <td>700.000000</td>\n",
       "      <td>8.89</td>\n",
       "      <td>129.759995</td>\n",
       "      <td>177.960007</td>\n",
       "      <td>8.41</td>\n",
       "      <td>84.330002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>97.769997</td>\n",
       "      <td>1.680</td>\n",
       "      <td>2.01</td>\n",
       "      <td>239.789993</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.136</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.36</td>\n",
       "      <td>4.22</td>\n",
       "      <td>14.46</td>\n",
       "      <td>13.87</td>\n",
       "      <td>3331.479980</td>\n",
       "      <td>9.75</td>\n",
       "      <td>11.44</td>\n",
       "      <td>33.369999</td>\n",
       "      <td>2.26</td>\n",
       "      <td>0.02999</td>\n",
       "      <td>26.00</td>\n",
       "      <td>0.0155</td>\n",
       "      <td>5.43</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.02</td>\n",
       "      <td>140.850006</td>\n",
       "      <td>0.00445</td>\n",
       "      <td>4.87</td>\n",
       "      <td>1.68</td>\n",
       "      <td>NaN</td>\n",
       "      <td>308.760010</td>\n",
       "      <td>15.08</td>\n",
       "      <td>60.490002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.25</td>\n",
       "      <td>12.96</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.010002</td>\n",
       "      <td>120.339996</td>\n",
       "      <td>36.849998</td>\n",
       "      <td>0.0011</td>\n",
       "      <td>0.0177</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.40</td>\n",
       "      <td>14.88</td>\n",
       "      <td>13.19</td>\n",
       "      <td>1.96</td>\n",
       "      <td>9.86</td>\n",
       "      <td>1.55</td>\n",
       "      <td>7.70</td>\n",
       "      <td>6.91</td>\n",
       "      <td>2.91</td>\n",
       "      <td>12.92</td>\n",
       "      <td>84.250000</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.337</td>\n",
       "      <td>42.959999</td>\n",
       "      <td>5.25</td>\n",
       "      <td>0.965</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.24</td>\n",
       "      <td>20.379999</td>\n",
       "      <td>0.0015</td>\n",
       "      <td>50.320000</td>\n",
       "      <td>145.649994</td>\n",
       "      <td>582.599976</td>\n",
       "      <td>200.089996</td>\n",
       "      <td>10.10</td>\n",
       "      <td>4.09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.52</td>\n",
       "      <td>16.100000</td>\n",
       "      <td>3.83</td>\n",
       "      <td>0.507</td>\n",
       "      <td>10.71</td>\n",
       "      <td>0.0275</td>\n",
       "      <td>213.5</td>\n",
       "      <td>166.610001</td>\n",
       "      <td>4.10</td>\n",
       "      <td>0.57</td>\n",
       "      <td>51.279999</td>\n",
       "      <td>3.09</td>\n",
       "      <td>15.84</td>\n",
       "      <td>5.92</td>\n",
       "      <td>3.24</td>\n",
       "      <td>16.580311</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.019997</td>\n",
       "      <td>8.19</td>\n",
       "      <td>13.06</td>\n",
       "      <td>9.53</td>\n",
       "      <td>3.94</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.400000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86.980003</td>\n",
       "      <td>6.50</td>\n",
       "      <td>173.389999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.560</td>\n",
       "      <td>11.70</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.88</td>\n",
       "      <td>9.00</td>\n",
       "      <td>0.0012</td>\n",
       "      <td>25.459999</td>\n",
       "      <td>59.570000</td>\n",
       "      <td>1.99</td>\n",
       "      <td>17.860001</td>\n",
       "      <td>45.459999</td>\n",
       "      <td>12.08</td>\n",
       "      <td>2.09</td>\n",
       "      <td>12.15</td>\n",
       "      <td>196.789993</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>37.000000</td>\n",
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       "      <td>107.519997</td>\n",
       "      <td>NaN</td>\n",
       "      <td>550.969971</td>\n",
       "      <td>129.350006</td>\n",
       "      <td>16.320000</td>\n",
       "      <td>2.09</td>\n",
       "      <td>51.630001</td>\n",
       "      <td>2.30</td>\n",
       "      <td>378.959991</td>\n",
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       "      <td>0.751</td>\n",
       "      <td>4.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-08-03</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>7.62</td>\n",
       "      <td>147.360001</td>\n",
       "      <td>37.099998</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>122.120003</td>\n",
       "      <td>24.320000</td>\n",
       "      <td>21.629999</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>39.070000</td>\n",
       "      <td>0.00240</td>\n",
       "      <td>3.87</td>\n",
       "      <td>14.52</td>\n",
       "      <td>14.91</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>5.29</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>3366.239990</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>1.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>278.859985</td>\n",
       "      <td>165.630005</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>1.36</td>\n",
       "      <td>78.290001</td>\n",
       "      <td>16.490000</td>\n",
       "      <td>42.209999</td>\n",
       "      <td>7.23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.389999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.320000</td>\n",
       "      <td>3.27</td>\n",
       "      <td>38.540001</td>\n",
       "      <td>1.11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.51</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.40</td>\n",
       "      <td>91.180000</td>\n",
       "      <td>0.680</td>\n",
       "      <td>3.66</td>\n",
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       "      <td>104.279999</td>\n",
       "      <td>6.33</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.680000</td>\n",
       "      <td>5.97</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.43</td>\n",
       "      <td>NaN</td>\n",
       "      <td>98.410004</td>\n",
       "      <td>3.59</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.75</td>\n",
       "      <td>29.360001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83.769997</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.96</td>\n",
       "      <td>6.63</td>\n",
       "      <td>14.60</td>\n",
       "      <td>0.0070</td>\n",
       "      <td>59.320000</td>\n",
       "      <td>586.510010</td>\n",
       "      <td>9.82</td>\n",
       "      <td>1.96</td>\n",
       "      <td>2.86</td>\n",
       "      <td>249.070007</td>\n",
       "      <td>0.75</td>\n",
       "      <td>32.049999</td>\n",
       "      <td>0.97</td>\n",
       "      <td>3.78</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.415</td>\n",
       "      <td>1.15</td>\n",
       "      <td>11.360</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.49</td>\n",
       "      <td>0.74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>269.899994</td>\n",
       "      <td>25.150000</td>\n",
       "      <td>0.0675</td>\n",
       "      <td>NaN</td>\n",
       "      <td>115.360001</td>\n",
       "      <td>37.680000</td>\n",
       "      <td>0.50</td>\n",
       "      <td>1.05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.970001</td>\n",
       "      <td>53.590000</td>\n",
       "      <td>30.150000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.43</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.260000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>41.759998</td>\n",
       "      <td>54.570000</td>\n",
       "      <td>83.690002</td>\n",
       "      <td>145.539993</td>\n",
       "      <td>3.41</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.950001</td>\n",
       "      <td>119.129997</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.94</td>\n",
       "      <td>9.00</td>\n",
       "      <td>6.91</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.07</td>\n",
       "      <td>299.809998</td>\n",
       "      <td>71.660004</td>\n",
       "      <td>8.28</td>\n",
       "      <td>9.94</td>\n",
       "      <td>158.190002</td>\n",
       "      <td>9.58</td>\n",
       "      <td>56.419998</td>\n",
       "      <td>0.0500</td>\n",
       "      <td>23.190001</td>\n",
       "      <td>1522.560059</td>\n",
       "      <td>7.72</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.45</td>\n",
       "      <td>0.10</td>\n",
       "      <td>10.35</td>\n",
       "      <td>0.00650</td>\n",
       "      <td>114.800003</td>\n",
       "      <td>5.20</td>\n",
       "      <td>73.379997</td>\n",
       "      <td>97.500000</td>\n",
       "      <td>14.41</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007</td>\n",
       "      <td>0.05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.25</td>\n",
       "      <td>19.719999</td>\n",
       "      <td>0.023</td>\n",
       "      <td>15.80</td>\n",
       "      <td>0.01429</td>\n",
       "      <td>140.600006</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.110</td>\n",
       "      <td>25.080000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15235.0</td>\n",
       "      <td>269.489990</td>\n",
       "      <td>0.17</td>\n",
       "      <td>5.51</td>\n",
       "      <td>73.150002</td>\n",
       "      <td>131.979996</td>\n",
       "      <td>1.58</td>\n",
       "      <td>0.077</td>\n",
       "      <td>69.040001</td>\n",
       "      <td>1.38</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.639999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>218.940002</td>\n",
       "      <td>22.260000</td>\n",
       "      <td>88.019997</td>\n",
       "      <td>90.419998</td>\n",
       "      <td>8.99</td>\n",
       "      <td>26.889999</td>\n",
       "      <td>22.639999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.700</td>\n",
       "      <td>28.190001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.63</td>\n",
       "      <td>NaN</td>\n",
       "      <td>56.830002</td>\n",
       "      <td>24.59</td>\n",
       "      <td>3.40</td>\n",
       "      <td>151.410004</td>\n",
       "      <td>20.270000</td>\n",
       "      <td>7.65</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.739998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.940</td>\n",
       "      <td>25.469999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.55</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.015</td>\n",
       "      <td>1.64</td>\n",
       "      <td>104.989998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.69</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.855</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.809998</td>\n",
       "      <td>21.760000</td>\n",
       "      <td>27.889999</td>\n",
       "      <td>120.690002</td>\n",
       "      <td>5.27</td>\n",
       "      <td>115.930000</td>\n",
       "      <td>1.36</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.160000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.500000</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>709.739990</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>133.759995</td>\n",
       "      <td>72.690002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.31</td>\n",
       "      <td>1.06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.680000</td>\n",
       "      <td>68.629997</td>\n",
       "      <td>0.98</td>\n",
       "      <td>189.339996</td>\n",
       "      <td>317.320007</td>\n",
       "      <td>8.06</td>\n",
       "      <td>346.660004</td>\n",
       "      <td>0.26</td>\n",
       "      <td>421.899994</td>\n",
       "      <td>0.00285</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.013</td>\n",
       "      <td>180.660004</td>\n",
       "      <td>1.40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.10</td>\n",
       "      <td>44.230000</td>\n",
       "      <td>0.00790</td>\n",
       "      <td>44.599998</td>\n",
       "      <td>23.209999</td>\n",
       "      <td>338.049988</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.33</td>\n",
       "      <td>81.570000</td>\n",
       "      <td>14.48</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.98</td>\n",
       "      <td>6.08</td>\n",
       "      <td>17.370001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.97</td>\n",
       "      <td>NaN</td>\n",
       "      <td>351.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.92</td>\n",
       "      <td>17.500000</td>\n",
       "      <td>3.31</td>\n",
       "      <td>35.750000</td>\n",
       "      <td>0.34</td>\n",
       "      <td>10.65</td>\n",
       "      <td>NaN</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>200.050003</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.430000</td>\n",
       "      <td>43.659000</td>\n",
       "      <td>2.88</td>\n",
       "      <td>0.201</td>\n",
       "      <td>2.76</td>\n",
       "      <td>8.64</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.18</td>\n",
       "      <td>3.29</td>\n",
       "      <td>55.730000</td>\n",
       "      <td>249.490005</td>\n",
       "      <td>56.580002</td>\n",
       "      <td>235.360001</td>\n",
       "      <td>66.139999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>295.109985</td>\n",
       "      <td>128.660004</td>\n",
       "      <td>19.559999</td>\n",
       "      <td>158.699997</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.56</td>\n",
       "      <td>17.24</td>\n",
       "      <td>23.990000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.65</td>\n",
       "      <td>123.010002</td>\n",
       "      <td>31.360001</td>\n",
       "      <td>3.62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.370001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.32</td>\n",
       "      <td>3.12</td>\n",
       "      <td>36.500000</td>\n",
       "      <td>0.23700</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.419998</td>\n",
       "      <td>104.589996</td>\n",
       "      <td>NaN</td>\n",
       "      <td>546.739990</td>\n",
       "      <td>127.209999</td>\n",
       "      <td>16.299999</td>\n",
       "      <td>2.09</td>\n",
       "      <td>52.740002</td>\n",
       "      <td>2.29</td>\n",
       "      <td>374.880005</td>\n",
       "      <td>9.87</td>\n",
       "      <td>0.760</td>\n",
       "      <td>4.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-08-04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.43</td>\n",
       "      <td>7.71</td>\n",
       "      <td>146.949997</td>\n",
       "      <td>37.160000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.94</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>121.570000</td>\n",
       "      <td>24.080000</td>\n",
       "      <td>21.049999</td>\n",
       "      <td>8.64</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.910000</td>\n",
       "      <td>38.709999</td>\n",
       "      <td>0.00250</td>\n",
       "      <td>3.75</td>\n",
       "      <td>14.40</td>\n",
       "      <td>14.31</td>\n",
       "      <td>1.15</td>\n",
       "      <td>5.63</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.0350</td>\n",
       "      <td>3.44</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.03</td>\n",
       "      <td>5.24</td>\n",
       "      <td>212.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0004</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>9.845</td>\n",
       "      <td>0.430</td>\n",
       "      <td>5.45</td>\n",
       "      <td>5.54</td>\n",
       "      <td>15.00</td>\n",
       "      <td>13.22</td>\n",
       "      <td>6.86</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.57</td>\n",
       "      <td>46.549999</td>\n",
       "      <td>1.18</td>\n",
       "      <td>3.56</td>\n",
       "      <td>29.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.48</td>\n",
       "      <td>1.62</td>\n",
       "      <td>8.84</td>\n",
       "      <td>708.010010</td>\n",
       "      <td>8.63</td>\n",
       "      <td>128.929993</td>\n",
       "      <td>183.440002</td>\n",
       "      <td>8.19</td>\n",
       "      <td>84.029999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>97.900002</td>\n",
       "      <td>1.680</td>\n",
       "      <td>NaN</td>\n",
       "      <td>228.309998</td>\n",
       "      <td>0.060</td>\n",
       "      <td>0.129</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.21</td>\n",
       "      <td>4.44</td>\n",
       "      <td>14.15</td>\n",
       "      <td>12.99</td>\n",
       "      <td>3354.719971</td>\n",
       "      <td>9.71</td>\n",
       "      <td>11.20</td>\n",
       "      <td>32.669998</td>\n",
       "      <td>2.21</td>\n",
       "      <td>0.02990</td>\n",
       "      <td>25.60</td>\n",
       "      <td>0.0126</td>\n",
       "      <td>6.46</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>140.449997</td>\n",
       "      <td>0.00420</td>\n",
       "      <td>4.57</td>\n",
       "      <td>1.60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>308.880005</td>\n",
       "      <td>15.01</td>\n",
       "      <td>59.369999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.44</td>\n",
       "      <td>0.22</td>\n",
       "      <td>66.120003</td>\n",
       "      <td>123.660004</td>\n",
       "      <td>36.799999</td>\n",
       "      <td>0.0050</td>\n",
       "      <td>0.0170</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.35</td>\n",
       "      <td>15.23</td>\n",
       "      <td>13.24</td>\n",
       "      <td>1.98</td>\n",
       "      <td>9.90</td>\n",
       "      <td>1.48</td>\n",
       "      <td>7.17</td>\n",
       "      <td>6.64</td>\n",
       "      <td>3.15</td>\n",
       "      <td>12.40</td>\n",
       "      <td>81.879997</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.409</td>\n",
       "      <td>42.770000</td>\n",
       "      <td>5.24</td>\n",
       "      <td>0.930</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.93</td>\n",
       "      <td>19.299999</td>\n",
       "      <td>0.0020</td>\n",
       "      <td>49.349998</td>\n",
       "      <td>145.600006</td>\n",
       "      <td>576.000000</td>\n",
       "      <td>200.710007</td>\n",
       "      <td>9.87</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>11.41</td>\n",
       "      <td>16.260000</td>\n",
       "      <td>3.75</td>\n",
       "      <td>0.461</td>\n",
       "      <td>10.17</td>\n",
       "      <td>0.0295</td>\n",
       "      <td>210.0</td>\n",
       "      <td>163.820007</td>\n",
       "      <td>3.96</td>\n",
       "      <td>0.56</td>\n",
       "      <td>51.490002</td>\n",
       "      <td>2.94</td>\n",
       "      <td>15.22</td>\n",
       "      <td>5.32</td>\n",
       "      <td>3.03</td>\n",
       "      <td>16.191710</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.489998</td>\n",
       "      <td>7.69</td>\n",
       "      <td>11.62</td>\n",
       "      <td>8.64</td>\n",
       "      <td>3.84</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.389999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86.989998</td>\n",
       "      <td>6.39</td>\n",
       "      <td>174.039993</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.540</td>\n",
       "      <td>11.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.77</td>\n",
       "      <td>8.37</td>\n",
       "      <td>0.0014</td>\n",
       "      <td>24.389999</td>\n",
       "      <td>58.980000</td>\n",
       "      <td>1.90</td>\n",
       "      <td>17.790001</td>\n",
       "      <td>44.860001</td>\n",
       "      <td>11.76</td>\n",
       "      <td>2.07</td>\n",
       "      <td>11.55</td>\n",
       "      <td>192.929993</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83.099998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.85</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>65.095238</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74.559998</td>\n",
       "      <td>15.32</td>\n",
       "      <td>NaN</td>\n",
       "      <td>82.029999</td>\n",
       "      <td>16.660000</td>\n",
       "      <td>0.0200</td>\n",
       "      <td>1.70</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>20.299999</td>\n",
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       "      <td>38.480000</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>0.40</td>\n",
       "      <td>89.040001</td>\n",
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       "      <td>6.30</td>\n",
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       "      <td>17.680000</td>\n",
       "      <td>5.57</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.58</td>\n",
       "      <td>NaN</td>\n",
       "      <td>98.820000</td>\n",
       "      <td>3.85</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.83</td>\n",
       "      <td>29.420000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.449997</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.82</td>\n",
       "      <td>6.99</td>\n",
       "      <td>14.31</td>\n",
       "      <td>0.0099</td>\n",
       "      <td>57.470001</td>\n",
       "      <td>580.950012</td>\n",
       "      <td>9.83</td>\n",
       "      <td>1.85</td>\n",
       "      <td>2.78</td>\n",
       "      <td>252.589996</td>\n",
       "      <td>0.73</td>\n",
       "      <td>31.549999</td>\n",
       "      <td>0.94</td>\n",
       "      <td>3.73</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.370</td>\n",
       "      <td>1.01</td>\n",
       "      <td>12.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.00</td>\n",
       "      <td>0.71</td>\n",
       "      <td>NaN</td>\n",
       "      <td>259.660004</td>\n",
       "      <td>25.313000</td>\n",
       "      <td>0.0400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116.459999</td>\n",
       "      <td>36.740002</td>\n",
       "      <td>0.46</td>\n",
       "      <td>1.03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.820000</td>\n",
       "      <td>52.810001</td>\n",
       "      <td>29.320000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.040001</td>\n",
       "      <td>0.12</td>\n",
       "      <td>41.650002</td>\n",
       "      <td>50.980000</td>\n",
       "      <td>82.360001</td>\n",
       "      <td>146.389999</td>\n",
       "      <td>3.27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.959999</td>\n",
       "      <td>118.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.86</td>\n",
       "      <td>9.70</td>\n",
       "      <td>6.65</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.06</td>\n",
       "      <td>292.730011</td>\n",
       "      <td>71.089996</td>\n",
       "      <td>8.19</td>\n",
       "      <td>9.99</td>\n",
       "      <td>163.210007</td>\n",
       "      <td>9.46</td>\n",
       "      <td>47.980000</td>\n",
       "      <td>0.0488</td>\n",
       "      <td>23.240000</td>\n",
       "      <td>1555.520020</td>\n",
       "      <td>7.64</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.43</td>\n",
       "      <td>0.06</td>\n",
       "      <td>9.34</td>\n",
       "      <td>0.00650</td>\n",
       "      <td>115.519997</td>\n",
       "      <td>5.00</td>\n",
       "      <td>76.900002</td>\n",
       "      <td>97.250000</td>\n",
       "      <td>13.87</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.008</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>0.25</td>\n",
       "      <td>20.120001</td>\n",
       "      <td>0.030</td>\n",
       "      <td>15.35</td>\n",
       "      <td>0.01470</td>\n",
       "      <td>141.199997</td>\n",
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       "      <td>0.105</td>\n",
       "      <td>27.160000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15330.0</td>\n",
       "      <td>266.420013</td>\n",
       "      <td>0.16</td>\n",
       "      <td>5.47</td>\n",
       "      <td>72.919998</td>\n",
       "      <td>130.860001</td>\n",
       "      <td>1.57</td>\n",
       "      <td>0.075</td>\n",
       "      <td>67.500000</td>\n",
       "      <td>1.41</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.700001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>216.470001</td>\n",
       "      <td>21.950001</td>\n",
       "      <td>86.589996</td>\n",
       "      <td>89.320000</td>\n",
       "      <td>8.93</td>\n",
       "      <td>27.180000</td>\n",
       "      <td>20.530001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.840</td>\n",
       "      <td>27.850000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>59.139999</td>\n",
       "      <td>24.18</td>\n",
       "      <td>3.45</td>\n",
       "      <td>149.729996</td>\n",
       "      <td>19.389999</td>\n",
       "      <td>6.25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.900002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.900</td>\n",
       "      <td>24.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.55</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.025</td>\n",
       "      <td>1.61</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.820</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86.730003</td>\n",
       "      <td>21.709999</td>\n",
       "      <td>27.260000</td>\n",
       "      <td>119.459999</td>\n",
       "      <td>5.21</td>\n",
       "      <td>114.949997</td>\n",
       "      <td>1.25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.049999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.250000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>710.919983</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>133.339996</td>\n",
       "      <td>73.589996</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.24</td>\n",
       "      <td>1.21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.820000</td>\n",
       "      <td>68.699997</td>\n",
       "      <td>0.91</td>\n",
       "      <td>192.380005</td>\n",
       "      <td>317.690002</td>\n",
       "      <td>8.18</td>\n",
       "      <td>342.570007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>421.540009</td>\n",
       "      <td>0.00285</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.014</td>\n",
       "      <td>206.089996</td>\n",
       "      <td>1.38</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.12</td>\n",
       "      <td>44.639999</td>\n",
       "      <td>0.00788</td>\n",
       "      <td>46.340000</td>\n",
       "      <td>22.379999</td>\n",
       "      <td>340.980011</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.85</td>\n",
       "      <td>79.269997</td>\n",
       "      <td>14.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.02</td>\n",
       "      <td>5.97</td>\n",
       "      <td>17.620001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.85</td>\n",
       "      <td>NaN</td>\n",
       "      <td>354.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.94</td>\n",
       "      <td>17.200001</td>\n",
       "      <td>3.28</td>\n",
       "      <td>35.799999</td>\n",
       "      <td>0.32</td>\n",
       "      <td>10.58</td>\n",
       "      <td>NaN</td>\n",
       "      <td>59.150002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>199.589996</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.060001</td>\n",
       "      <td>43.529999</td>\n",
       "      <td>2.94</td>\n",
       "      <td>0.201</td>\n",
       "      <td>2.64</td>\n",
       "      <td>8.40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.68</td>\n",
       "      <td>3.18</td>\n",
       "      <td>55.369999</td>\n",
       "      <td>251.050003</td>\n",
       "      <td>56.849998</td>\n",
       "      <td>232.229996</td>\n",
       "      <td>64.940002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.53</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>294.359985</td>\n",
       "      <td>138.699997</td>\n",
       "      <td>19.709999</td>\n",
       "      <td>156.520004</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.55</td>\n",
       "      <td>16.73</td>\n",
       "      <td>24.480000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.56</td>\n",
       "      <td>126.500000</td>\n",
       "      <td>31.059999</td>\n",
       "      <td>3.63</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.440001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.33</td>\n",
       "      <td>2.99</td>\n",
       "      <td>35.930000</td>\n",
       "      <td>0.23100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.970001</td>\n",
       "      <td>109.230003</td>\n",
       "      <td>NaN</td>\n",
       "      <td>560.000000</td>\n",
       "      <td>127.459999</td>\n",
       "      <td>16.170000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.230000</td>\n",
       "      <td>2.22</td>\n",
       "      <td>400.579987</td>\n",
       "      <td>9.90</td>\n",
       "      <td>0.739</td>\n",
       "      <td>4.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-08-05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.30</td>\n",
       "      <td>7.70</td>\n",
       "      <td>147.059998</td>\n",
       "      <td>37.290001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>122.209999</td>\n",
       "      <td>24.860001</td>\n",
       "      <td>19.250000</td>\n",
       "      <td>8.77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.959999</td>\n",
       "      <td>43.650002</td>\n",
       "      <td>0.00250</td>\n",
       "      <td>4.10</td>\n",
       "      <td>14.56</td>\n",
       "      <td>14.76</td>\n",
       "      <td>1.20</td>\n",
       "      <td>5.81</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.0360</td>\n",
       "      <td>3.53</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.57</td>\n",
       "      <td>1.03</td>\n",
       "      <td>5.35</td>\n",
       "      <td>213.289993</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0003</td>\n",
       "      <td>89.419998</td>\n",
       "      <td>9.930</td>\n",
       "      <td>0.436</td>\n",
       "      <td>5.67</td>\n",
       "      <td>5.30</td>\n",
       "      <td>15.01</td>\n",
       "      <td>13.59</td>\n",
       "      <td>6.98</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.67</td>\n",
       "      <td>46.369999</td>\n",
       "      <td>1.10</td>\n",
       "      <td>3.70</td>\n",
       "      <td>29.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.87</td>\n",
       "      <td>1.69</td>\n",
       "      <td>9.57</td>\n",
       "      <td>699.219971</td>\n",
       "      <td>8.59</td>\n",
       "      <td>127.930000</td>\n",
       "      <td>193.899994</td>\n",
       "      <td>8.50</td>\n",
       "      <td>85.410004</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101.809998</td>\n",
       "      <td>1.664</td>\n",
       "      <td>NaN</td>\n",
       "      <td>233.990005</td>\n",
       "      <td>0.055</td>\n",
       "      <td>0.121</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.45</td>\n",
       "      <td>4.86</td>\n",
       "      <td>14.46</td>\n",
       "      <td>12.54</td>\n",
       "      <td>3375.989990</td>\n",
       "      <td>9.71</td>\n",
       "      <td>11.76</td>\n",
       "      <td>33.340000</td>\n",
       "      <td>2.40</td>\n",
       "      <td>0.02570</td>\n",
       "      <td>25.83</td>\n",
       "      <td>0.0074</td>\n",
       "      <td>6.56</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>140.929993</td>\n",
       "      <td>0.00330</td>\n",
       "      <td>4.90</td>\n",
       "      <td>1.65</td>\n",
       "      <td>NaN</td>\n",
       "      <td>310.329987</td>\n",
       "      <td>15.32</td>\n",
       "      <td>62.099998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.74</td>\n",
       "      <td>0.22</td>\n",
       "      <td>68.050003</td>\n",
       "      <td>124.639999</td>\n",
       "      <td>37.360001</td>\n",
       "      <td>0.0050</td>\n",
       "      <td>0.0188</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.33</td>\n",
       "      <td>13.84</td>\n",
       "      <td>13.51</td>\n",
       "      <td>1.95</td>\n",
       "      <td>9.86</td>\n",
       "      <td>1.54</td>\n",
       "      <td>7.29</td>\n",
       "      <td>6.94</td>\n",
       "      <td>3.33</td>\n",
       "      <td>12.87</td>\n",
       "      <td>81.470001</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>0.345</td>\n",
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       "      <td>5.50</td>\n",
       "      <td>0.946</td>\n",
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       "      <td>7.33</td>\n",
       "      <td>19.360001</td>\n",
       "      <td>0.0029</td>\n",
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       "      <td>146.529999</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>17.650000</td>\n",
       "      <td>3.74</td>\n",
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       "      <td>10.57</td>\n",
       "      <td>0.0291</td>\n",
       "      <td>212.5</td>\n",
       "      <td>165.860001</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.56</td>\n",
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       "      <td>5.41</td>\n",
       "      <td>3.15</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>7.98</td>\n",
       "      <td>11.50</td>\n",
       "      <td>8.66</td>\n",
       "      <td>3.91</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>89.680000</td>\n",
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       "      <td>173.929993</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>7.95</td>\n",
       "      <td>0.0014</td>\n",
       "      <td>24.299999</td>\n",
       "      <td>50.570000</td>\n",
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       "      <td>17.719999</td>\n",
       "      <td>44.810001</td>\n",
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       "      <td>2.12</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>0.0209</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>6.24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.549999</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>0.41</td>\n",
       "      <td>92.529999</td>\n",
       "      <td>0.662</td>\n",
       "      <td>3.87</td>\n",
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       "      <td>105.160004</td>\n",
       "      <td>6.55</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.059999</td>\n",
       "      <td>5.82</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>92.440002</td>\n",
       "      <td>4.27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.87</td>\n",
       "      <td>31.110001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.309998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.23</td>\n",
       "      <td>7.10</td>\n",
       "      <td>14.04</td>\n",
       "      <td>0.0094</td>\n",
       "      <td>61.500000</td>\n",
       "      <td>602.469971</td>\n",
       "      <td>9.15</td>\n",
       "      <td>1.85</td>\n",
       "      <td>2.87</td>\n",
       "      <td>254.669998</td>\n",
       "      <td>0.72</td>\n",
       "      <td>32.150002</td>\n",
       "      <td>0.94</td>\n",
       "      <td>3.89</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.400</td>\n",
       "      <td>1.09</td>\n",
       "      <td>12.355</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.01</td>\n",
       "      <td>0.71</td>\n",
       "      <td>NaN</td>\n",
       "      <td>249.869995</td>\n",
       "      <td>25.327999</td>\n",
       "      <td>0.0400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113.760002</td>\n",
       "      <td>37.250000</td>\n",
       "      <td>0.45</td>\n",
       "      <td>1.04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86.879997</td>\n",
       "      <td>53.450001</td>\n",
       "      <td>29.830000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.129999</td>\n",
       "      <td>0.12</td>\n",
       "      <td>43.209999</td>\n",
       "      <td>52.009998</td>\n",
       "      <td>82.400002</td>\n",
       "      <td>148.940002</td>\n",
       "      <td>3.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.230000</td>\n",
       "      <td>119.029999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.95</td>\n",
       "      <td>9.25</td>\n",
       "      <td>6.98</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.06</td>\n",
       "      <td>286.390015</td>\n",
       "      <td>71.680000</td>\n",
       "      <td>8.27</td>\n",
       "      <td>9.99</td>\n",
       "      <td>162.199997</td>\n",
       "      <td>9.97</td>\n",
       "      <td>49.040001</td>\n",
       "      <td>0.0440</td>\n",
       "      <td>23.160000</td>\n",
       "      <td>1545.550049</td>\n",
       "      <td>7.74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.51</td>\n",
       "      <td>0.06</td>\n",
       "      <td>9.58</td>\n",
       "      <td>0.00420</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>5.30</td>\n",
       "      <td>77.320000</td>\n",
       "      <td>99.730003</td>\n",
       "      <td>14.20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007</td>\n",
       "      <td>0.05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.25</td>\n",
       "      <td>20.080000</td>\n",
       "      <td>0.029</td>\n",
       "      <td>15.53</td>\n",
       "      <td>0.01350</td>\n",
       "      <td>146.509995</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.100</td>\n",
       "      <td>28.350000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15410.0</td>\n",
       "      <td>281.809998</td>\n",
       "      <td>0.16</td>\n",
       "      <td>5.52</td>\n",
       "      <td>73.209999</td>\n",
       "      <td>132.940002</td>\n",
       "      <td>1.54</td>\n",
       "      <td>0.073</td>\n",
       "      <td>78.540001</td>\n",
       "      <td>1.41</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.889999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>215.529999</td>\n",
       "      <td>22.370001</td>\n",
       "      <td>87.489998</td>\n",
       "      <td>90.900002</td>\n",
       "      <td>8.88</td>\n",
       "      <td>26.590000</td>\n",
       "      <td>20.360001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.725</td>\n",
       "      <td>27.940001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.400002</td>\n",
       "      <td>24.73</td>\n",
       "      <td>3.68</td>\n",
       "      <td>153.029999</td>\n",
       "      <td>19.559999</td>\n",
       "      <td>6.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.580002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.890</td>\n",
       "      <td>24.450001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.021</td>\n",
       "      <td>1.68</td>\n",
       "      <td>109.970001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.69</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.890</td>\n",
       "      <td>NaN</td>\n",
       "      <td>89.419998</td>\n",
       "      <td>21.680000</td>\n",
       "      <td>27.520000</td>\n",
       "      <td>120.459999</td>\n",
       "      <td>5.21</td>\n",
       "      <td>113.809998</td>\n",
       "      <td>1.43</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.440001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.490000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>714.630005</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135.539993</td>\n",
       "      <td>82.930000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.26</td>\n",
       "      <td>1.17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.630001</td>\n",
       "      <td>69.279999</td>\n",
       "      <td>0.94</td>\n",
       "      <td>193.160004</td>\n",
       "      <td>313.769989</td>\n",
       "      <td>8.38</td>\n",
       "      <td>351.649994</td>\n",
       "      <td>0.27</td>\n",
       "      <td>411.190002</td>\n",
       "      <td>0.00285</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.013</td>\n",
       "      <td>205.419998</td>\n",
       "      <td>1.37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.18</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>0.01260</td>\n",
       "      <td>47.840000</td>\n",
       "      <td>22.500000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.00</td>\n",
       "      <td>80.559998</td>\n",
       "      <td>14.93</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.13</td>\n",
       "      <td>6.29</td>\n",
       "      <td>17.490000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>351.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.01</td>\n",
       "      <td>17.129999</td>\n",
       "      <td>3.20</td>\n",
       "      <td>36.150002</td>\n",
       "      <td>0.40</td>\n",
       "      <td>11.10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.020000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>202.990005</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.160000</td>\n",
       "      <td>43.418999</td>\n",
       "      <td>3.07</td>\n",
       "      <td>0.200</td>\n",
       "      <td>2.79</td>\n",
       "      <td>8.66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.00</td>\n",
       "      <td>3.18</td>\n",
       "      <td>55.299999</td>\n",
       "      <td>276.160004</td>\n",
       "      <td>56.580002</td>\n",
       "      <td>236.000000</td>\n",
       "      <td>67.070000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>273.980011</td>\n",
       "      <td>135.750000</td>\n",
       "      <td>19.740000</td>\n",
       "      <td>157.910004</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.03</td>\n",
       "      <td>17.00</td>\n",
       "      <td>24.520000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.67</td>\n",
       "      <td>127.379997</td>\n",
       "      <td>32.270000</td>\n",
       "      <td>3.70</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.480000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.29</td>\n",
       "      <td>3.52</td>\n",
       "      <td>37.200001</td>\n",
       "      <td>0.22400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.950001</td>\n",
       "      <td>110.239998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>569.219971</td>\n",
       "      <td>129.419998</td>\n",
       "      <td>16.530001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.119999</td>\n",
       "      <td>2.31</td>\n",
       "      <td>398.679993</td>\n",
       "      <td>9.77</td>\n",
       "      <td>0.750</td>\n",
       "      <td>4.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-08-06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.20</td>\n",
       "      <td>7.15</td>\n",
       "      <td>146.139999</td>\n",
       "      <td>36.980000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>122.169998</td>\n",
       "      <td>25.049999</td>\n",
       "      <td>19.180000</td>\n",
       "      <td>8.93</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.509998</td>\n",
       "      <td>45.560001</td>\n",
       "      <td>0.00415</td>\n",
       "      <td>3.65</td>\n",
       "      <td>14.63</td>\n",
       "      <td>14.90</td>\n",
       "      <td>1.24</td>\n",
       "      <td>5.92</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.0038</td>\n",
       "      <td>3.49</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.58</td>\n",
       "      <td>1.03</td>\n",
       "      <td>5.27</td>\n",
       "      <td>213.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0004</td>\n",
       "      <td>91.400002</td>\n",
       "      <td>9.870</td>\n",
       "      <td>0.431</td>\n",
       "      <td>5.85</td>\n",
       "      <td>5.21</td>\n",
       "      <td>15.22</td>\n",
       "      <td>13.84</td>\n",
       "      <td>6.76</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.63</td>\n",
       "      <td>46.049999</td>\n",
       "      <td>1.11</td>\n",
       "      <td>3.74</td>\n",
       "      <td>28.75</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.74</td>\n",
       "      <td>1.67</td>\n",
       "      <td>9.82</td>\n",
       "      <td>693.669983</td>\n",
       "      <td>8.12</td>\n",
       "      <td>130.820007</td>\n",
       "      <td>195.229996</td>\n",
       "      <td>8.86</td>\n",
       "      <td>90.279999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102.760002</td>\n",
       "      <td>1.620</td>\n",
       "      <td>NaN</td>\n",
       "      <td>230.149994</td>\n",
       "      <td>0.030</td>\n",
       "      <td>0.122</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.51</td>\n",
       "      <td>4.93</td>\n",
       "      <td>14.54</td>\n",
       "      <td>12.69</td>\n",
       "      <td>3344.939941</td>\n",
       "      <td>9.71</td>\n",
       "      <td>11.21</td>\n",
       "      <td>33.060001</td>\n",
       "      <td>2.41</td>\n",
       "      <td>0.02900</td>\n",
       "      <td>26.52</td>\n",
       "      <td>0.0073</td>\n",
       "      <td>6.80</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>138.779999</td>\n",
       "      <td>0.00310</td>\n",
       "      <td>4.96</td>\n",
       "      <td>1.60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>313.109985</td>\n",
       "      <td>15.39</td>\n",
       "      <td>55.160000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.62</td>\n",
       "      <td>0.21</td>\n",
       "      <td>64.790001</td>\n",
       "      <td>123.730003</td>\n",
       "      <td>36.599998</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>13.23</td>\n",
       "      <td>1.95</td>\n",
       "      <td>9.86</td>\n",
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       "      <td>7.95</td>\n",
       "      <td>6.92</td>\n",
       "      <td>3.38</td>\n",
       "      <td>12.64</td>\n",
       "      <td>83.750000</td>\n",
       "      <td>0.01275</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>0.345</td>\n",
       "      <td>42.669998</td>\n",
       "      <td>5.95</td>\n",
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       "      <td>7.05</td>\n",
       "      <td>18.250000</td>\n",
       "      <td>0.0015</td>\n",
       "      <td>51.160000</td>\n",
       "      <td>147.970001</td>\n",
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       "      <td>196.389999</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>17.610001</td>\n",
       "      <td>3.75</td>\n",
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       "      <td>0.0295</td>\n",
       "      <td>215.0</td>\n",
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       "      <td>5.00</td>\n",
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       "      <td>16.211140</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>8.08</td>\n",
       "      <td>11.56</td>\n",
       "      <td>8.86</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>95.489998</td>\n",
       "      <td>6.77</td>\n",
       "      <td>173.369995</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>7.99</td>\n",
       "      <td>0.0013</td>\n",
       "      <td>23.879999</td>\n",
       "      <td>50.990002</td>\n",
       "      <td>2.30</td>\n",
       "      <td>17.700001</td>\n",
       "      <td>45.700001</td>\n",
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       "      <td>3.93</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.65</td>\n",
       "      <td>NaN</td>\n",
       "      <td>89.959999</td>\n",
       "      <td>4.80</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.15</td>\n",
       "      <td>30.520000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>88.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.00</td>\n",
       "      <td>7.13</td>\n",
       "      <td>14.06</td>\n",
       "      <td>0.0098</td>\n",
       "      <td>60.060001</td>\n",
       "      <td>610.859985</td>\n",
       "      <td>9.35</td>\n",
       "      <td>1.89</td>\n",
       "      <td>2.96</td>\n",
       "      <td>250.649994</td>\n",
       "      <td>0.72</td>\n",
       "      <td>31.309999</td>\n",
       "      <td>0.94</td>\n",
       "      <td>3.81</td>\n",
       "      <td>0.0251</td>\n",
       "      <td>2.400</td>\n",
       "      <td>1.10</td>\n",
       "      <td>12.210</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.91</td>\n",
       "      <td>0.71</td>\n",
       "      <td>NaN</td>\n",
       "      <td>247.429993</td>\n",
       "      <td>25.077000</td>\n",
       "      <td>0.0430</td>\n",
       "      <td>NaN</td>\n",
       "      <td>112.489998</td>\n",
       "      <td>36.990002</td>\n",
       "      <td>0.45</td>\n",
       "      <td>1.05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.580002</td>\n",
       "      <td>48.369999</td>\n",
       "      <td>29.070000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.250000</td>\n",
       "      <td>0.11</td>\n",
       "      <td>41.090000</td>\n",
       "      <td>52.470001</td>\n",
       "      <td>82.519997</td>\n",
       "      <td>146.369995</td>\n",
       "      <td>3.37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.370001</td>\n",
       "      <td>119.050003</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.91</td>\n",
       "      <td>9.25</td>\n",
       "      <td>6.92</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.06</td>\n",
       "      <td>295.279999</td>\n",
       "      <td>74.379997</td>\n",
       "      <td>8.56</td>\n",
       "      <td>10.00</td>\n",
       "      <td>160.990005</td>\n",
       "      <td>9.76</td>\n",
       "      <td>50.330002</td>\n",
       "      <td>0.0490</td>\n",
       "      <td>23.030001</td>\n",
       "      <td>1525.060059</td>\n",
       "      <td>7.77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.50</td>\n",
       "      <td>0.06</td>\n",
       "      <td>9.89</td>\n",
       "      <td>0.00420</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>5.02</td>\n",
       "      <td>75.980003</td>\n",
       "      <td>98.919998</td>\n",
       "      <td>14.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.009</td>\n",
       "      <td>0.05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.25</td>\n",
       "      <td>19.500000</td>\n",
       "      <td>0.023</td>\n",
       "      <td>15.78</td>\n",
       "      <td>0.01490</td>\n",
       "      <td>144.660004</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.100</td>\n",
       "      <td>28.139999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15115.0</td>\n",
       "      <td>275.100006</td>\n",
       "      <td>0.17</td>\n",
       "      <td>5.55</td>\n",
       "      <td>72.589996</td>\n",
       "      <td>132.330002</td>\n",
       "      <td>1.50</td>\n",
       "      <td>0.077</td>\n",
       "      <td>79.800003</td>\n",
       "      <td>1.40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.320000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>216.289993</td>\n",
       "      <td>23.129999</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>92.150002</td>\n",
       "      <td>9.00</td>\n",
       "      <td>26.400000</td>\n",
       "      <td>19.090000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.120</td>\n",
       "      <td>27.959999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.709999</td>\n",
       "      <td>24.67</td>\n",
       "      <td>3.62</td>\n",
       "      <td>149.259995</td>\n",
       "      <td>19.350000</td>\n",
       "      <td>6.70</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.870003</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.874</td>\n",
       "      <td>23.520000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.024</td>\n",
       "      <td>1.69</td>\n",
       "      <td>107.139999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.69</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.910</td>\n",
       "      <td>NaN</td>\n",
       "      <td>89.360001</td>\n",
       "      <td>22.080000</td>\n",
       "      <td>27.870001</td>\n",
       "      <td>119.889999</td>\n",
       "      <td>4.16</td>\n",
       "      <td>99.400002</td>\n",
       "      <td>1.40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.980000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.309999</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>699.099976</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.080002</td>\n",
       "      <td>81.400002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.22</td>\n",
       "      <td>1.05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.240002</td>\n",
       "      <td>67.370003</td>\n",
       "      <td>0.95</td>\n",
       "      <td>192.960007</td>\n",
       "      <td>315.380005</td>\n",
       "      <td>8.60</td>\n",
       "      <td>352.989990</td>\n",
       "      <td>0.27</td>\n",
       "      <td>415.119995</td>\n",
       "      <td>0.00370</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.013</td>\n",
       "      <td>213.330002</td>\n",
       "      <td>1.38</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.85</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.08</td>\n",
       "      <td>46.060001</td>\n",
       "      <td>0.00851</td>\n",
       "      <td>46.970001</td>\n",
       "      <td>23.070000</td>\n",
       "      <td>338.820007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.08</td>\n",
       "      <td>80.620003</td>\n",
       "      <td>14.70</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.13</td>\n",
       "      <td>6.18</td>\n",
       "      <td>17.299999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>349.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.00</td>\n",
       "      <td>18.080000</td>\n",
       "      <td>3.17</td>\n",
       "      <td>36.680000</td>\n",
       "      <td>0.43</td>\n",
       "      <td>10.60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58.189999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>200.669998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>51.869999</td>\n",
       "      <td>43.608002</td>\n",
       "      <td>3.05</td>\n",
       "      <td>0.200</td>\n",
       "      <td>2.78</td>\n",
       "      <td>8.75</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.54</td>\n",
       "      <td>3.31</td>\n",
       "      <td>55.220001</td>\n",
       "      <td>263.820007</td>\n",
       "      <td>55.669998</td>\n",
       "      <td>235.720001</td>\n",
       "      <td>68.760002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>267.679993</td>\n",
       "      <td>133.139999</td>\n",
       "      <td>19.969999</td>\n",
       "      <td>154.649994</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.94</td>\n",
       "      <td>16.50</td>\n",
       "      <td>27.370001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.94</td>\n",
       "      <td>124.570000</td>\n",
       "      <td>31.219999</td>\n",
       "      <td>3.87</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.950001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.32</td>\n",
       "      <td>3.53</td>\n",
       "      <td>39.150002</td>\n",
       "      <td>0.21000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.080002</td>\n",
       "      <td>101.150002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>562.270020</td>\n",
       "      <td>128.619995</td>\n",
       "      <td>14.270000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54.990002</td>\n",
       "      <td>2.27</td>\n",
       "      <td>383.470001</td>\n",
       "      <td>7.99</td>\n",
       "      <td>0.774</td>\n",
       "      <td>4.44</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>"
      ],
      "text/plain": [
       "        Date   1  2IB.F  3VP.F  AACAY  AAOI        AAPL        ABB  ABHDD  \\\n",
       "0 2021-08-02 NaN    NaN    NaN   6.05  7.64  145.520004  36.430000    NaN   \n",
       "1 2021-08-03 NaN    NaN    NaN   6.01  7.62  147.360001  37.099998    NaN   \n",
       "2 2021-08-04 NaN    NaN    NaN   6.43  7.71  146.949997  37.160000    NaN   \n",
       "3 2021-08-05 NaN    NaN    NaN   6.30  7.70  147.059998  37.290001    NaN   \n",
       "4 2021-08-06 NaN    NaN    NaN   6.20  7.15  146.139999  36.980000    NaN   \n",
       "\n",
       "   ABIO  ABLX  ABMT         ABT      AC.TO       ACAD  ACCO  ACHN      ACINX  \\\n",
       "0  3.19   NaN  0.08  120.919998        NaN  21.000000  8.83   NaN  37.570000   \n",
       "1  3.02   NaN   NaN  122.120003  24.320000  21.629999  8.92   NaN  37.779999   \n",
       "2  2.94   NaN   NaN  121.570000  24.080000  21.049999  8.64   NaN  37.910000   \n",
       "3  3.10   NaN   NaN  122.209999  24.860001  19.250000  8.77   NaN  37.959999   \n",
       "4  3.11   NaN   NaN  122.169998  25.049999  19.180000  8.93   NaN  37.509998   \n",
       "\n",
       "        ACLS     ACNV  ACOR   ACRE   ACRS  ACRX  ACTG  ACUR    ACUS  ADAP  \\\n",
       "0  38.560001  0.00540  3.72  14.62  15.08  1.21  5.75  0.60  0.0130  3.58   \n",
       "1  39.070000  0.00240  3.87  14.52  14.91  1.20  5.64  0.53  0.0249  3.48   \n",
       "2  38.709999  0.00250  3.75  14.40  14.31  1.15  5.63  0.53  0.0350  3.44   \n",
       "3  43.650002  0.00250  4.10  14.56  14.76  1.20  5.81  0.53  0.0360  3.53   \n",
       "4  45.560001  0.00415  3.65  14.63  14.90  1.24  5.92  0.53  0.0038  3.49   \n",
       "\n",
       "   ADAT  ADGE  ADGL  ADMA  ADMP  ADMS         ADP  ADPTQ    ADTM       ADUS  \\\n",
       "0   NaN   NaN   NaN  1.59  1.11  5.00  209.449997    NaN  0.0004  85.110001   \n",
       "1   NaN   NaN   NaN  1.58  1.06  5.29  213.440002    NaN  0.0004  94.699997   \n",
       "2   NaN   NaN   NaN  1.51  1.03  5.24  212.000000    NaN  0.0004  92.000000   \n",
       "3   NaN   NaN   NaN  1.57  1.03  5.35  213.289993    NaN  0.0003  89.419998   \n",
       "4   NaN   NaN   NaN  1.58  1.03  5.27  213.000000    NaN  0.0004  91.400002   \n",
       "\n",
       "    ADXN   ADXS  AEHR  AEMD   AERI   AEYE  AFMD  AFSLF  AGEN       AGIO  AGRX  \\\n",
       "0  9.080  0.440  5.73  5.07  15.87  13.63  6.91    NaN  5.29  48.189999  1.22   \n",
       "1  9.825  0.429  5.67  4.83  15.25  13.70  6.89    NaN  5.45  47.119999  1.17   \n",
       "2  9.845  0.430  5.45  5.54  15.00  13.22  6.86    NaN  5.57  46.549999  1.18   \n",
       "3  9.930  0.436  5.67  5.30  15.01  13.59  6.98    NaN  5.67  46.369999  1.10   \n",
       "4  9.870  0.431  5.85  5.21  15.22  13.84  6.76    NaN  5.63  46.049999  1.11   \n",
       "\n",
       "   AGTC  AGY.L  AKAOQ  AKBA  AKTX  ALDX        ALGN  ALIM         ALL  \\\n",
       "0  3.64  26.85    NaN  2.60  1.64  9.02  700.000000  8.89  129.759995   \n",
       "1  3.63  28.50    NaN  2.57  1.63  8.95  701.340027  8.57  130.710007   \n",
       "2  3.56  29.50    NaN  2.48  1.62  8.84  708.010010  8.63  128.929993   \n",
       "3  3.70  29.50    NaN  2.87  1.69  9.57  699.219971  8.59  127.930000   \n",
       "4  3.74  28.75    NaN  2.74  1.67  9.82  693.669983  8.12  130.820007   \n",
       "\n",
       "         ALNY  ALPN       ALRM  ALXN        AMBA   AMBO  AMCY        AMGN  \\\n",
       "0  177.960007  8.41  84.330002   NaN   97.769997  1.680  2.01  239.789993   \n",
       "1  178.809998  8.40  85.989998   NaN   97.059998  1.640   NaN  244.080002   \n",
       "2  183.440002  8.19  84.029999   NaN   97.900002  1.680   NaN  228.309998   \n",
       "3  193.899994  8.50  85.410004   NaN  101.809998  1.664   NaN  233.990005   \n",
       "4  195.229996  8.86  90.279999   NaN  102.760002  1.620   NaN  230.149994   \n",
       "\n",
       "    AMHD   AMMJ  AMNL  AMPE  AMRN   AMRS   AMSC         AMZN  ANAC   ANGI  \\\n",
       "0  0.063  0.136  0.02  1.36  4.22  14.46  13.87  3331.479980  9.75  11.44   \n",
       "1  0.026  0.134  0.02  1.32  4.30  14.40  13.50  3366.239990  9.70  11.13   \n",
       "2  0.060  0.129  0.02  1.21  4.44  14.15  12.99  3354.719971  9.71  11.20   \n",
       "3  0.055  0.121  0.02  1.45  4.86  14.46  12.54  3375.989990  9.71  11.76   \n",
       "4  0.030  0.122  0.02  1.51  4.93  14.54  12.69  3344.939941  9.71  11.21   \n",
       "\n",
       "        ANIP  ANTE     ANTH   AOSL    AOXG  APDN  APIC  APPB        APPF  \\\n",
       "0  33.369999  2.26  0.02999  26.00  0.0155  5.43   NaN  0.02  140.850006   \n",
       "1  34.009998  2.22  0.02885  26.02  0.0139  6.81   NaN   NaN  138.559998   \n",
       "2  32.669998  2.21  0.02990  25.60  0.0126  6.46   NaN   NaN  140.449997   \n",
       "3  33.340000  2.40  0.02570  25.83  0.0074  6.56   NaN   NaN  140.929993   \n",
       "4  33.060001  2.41  0.02900  26.52  0.0073  6.80   NaN   NaN  138.779999   \n",
       "\n",
       "      APVS   AQB  ARDX  ARGS        ARGX    ARI       ARNA  ARO  ARQL  ARRAF  \\\n",
       "0  0.00445  4.87  1.68   NaN  308.760010  15.08  60.490002  NaN   NaN   0.25   \n",
       "1  0.00445  4.74  1.64   NaN  311.500000  15.35  60.430000  NaN   NaN    NaN   \n",
       "2  0.00420  4.57  1.60   NaN  308.880005  15.01  59.369999  NaN   NaN    NaN   \n",
       "3  0.00330  4.90  1.65   NaN  310.329987  15.32  62.099998  NaN   NaN    NaN   \n",
       "4  0.00310  4.96  1.60   NaN  313.109985  15.39  55.160000  NaN   NaN    NaN   \n",
       "\n",
       "    ARRY  ART.V       ARWR        ASND       ASPN    ASPW    ASTI  ASTM  ASUR  \\\n",
       "0  12.96    NaN  68.010002  120.339996  36.849998  0.0011  0.0177   NaN  9.40   \n",
       "1  13.46   0.22  66.750000  122.500000  37.820000  0.0050  0.0162   NaN  9.29   \n",
       "2  13.44   0.22  66.120003  123.660004  36.799999  0.0050  0.0170   NaN  9.35   \n",
       "3  13.74   0.22  68.050003  124.639999  37.360001  0.0050  0.0188   NaN  9.33   \n",
       "4  13.62   0.21  64.790001  123.730003  36.599998     NaN  0.0212   NaN  9.37   \n",
       "\n",
       "    ATEC   ATEN  ATGN  ATHN  ATHX  ATNF  ATNM  ATOS   ATRA       ATRC  \\\n",
       "0  14.88  13.19  1.96  9.86  1.55  7.70  6.91  2.91  12.92  84.250000   \n",
       "1  14.27  13.01  1.95  9.87  1.48  7.56  6.91  2.89  12.59  83.519997   \n",
       "2  15.23  13.24  1.98  9.90  1.48  7.17  6.64  3.15  12.40  81.879997   \n",
       "3  13.84  13.51  1.95  9.86  1.54  7.29  6.94  3.33  12.87  81.470001   \n",
       "4  14.01  13.23  1.95  9.86  1.60  7.95  6.92  3.38  12.64  83.750000   \n",
       "\n",
       "     ATTBF  ATTU  AURX   AUSI        AVA  AVEO   AVGR  AVU.V  AXDX       AXGN  \\\n",
       "0  0.01000   NaN  0.45  0.337  42.959999  5.25  0.965    NaN  7.24  20.379999   \n",
       "1  0.00935   NaN   NaN  0.367  44.240002  5.22  0.943  0.085  7.59  19.850000   \n",
       "2  0.00950   NaN   NaN  0.409  42.770000  5.24  0.930    NaN  6.93  19.299999   \n",
       "3  0.00940   NaN   NaN  0.345  43.130001  5.50  0.946  0.080  7.33  19.360001   \n",
       "4  0.01275   NaN   NaN  0.345  42.669998  5.95  0.940  0.080  7.05  18.250000   \n",
       "\n",
       "    AXPWQ       AXSM        AZPN        BA.L        BABA     BB  BCLI  BCON  \\\n",
       "0  0.0015  50.320000  145.649994  582.599976  200.089996  10.10  4.09   NaN   \n",
       "1  0.0029  49.180000  145.039993  574.799988  197.380005  10.17  3.76   NaN   \n",
       "2  0.0020  49.349998  145.600006  576.000000  200.710007   9.87  3.77   NaN   \n",
       "3  0.0029  50.660000  146.529999  576.400024  199.279999  10.43  3.94   NaN   \n",
       "4  0.0015  51.160000  147.970001  574.799988  196.389999  10.29  3.96   NaN   \n",
       "\n",
       "    BCOV       BCRX  BDSI   BERI   BFLY    BGMD  BGO.L        BIDU  BIOC  \\\n",
       "0  11.52  16.100000  3.83  0.507  10.71  0.0275  213.5  166.610001  4.10   \n",
       "1  11.61  16.760000  3.90  0.461  10.38  0.0248  213.5  164.089996  3.95   \n",
       "2  11.41  16.260000  3.75  0.461  10.17  0.0295  210.0  163.820007  3.96   \n",
       "3  11.49  17.650000  3.74  0.497  10.57  0.0291  212.5  165.860001  4.00   \n",
       "4  11.44  17.610001  3.75  0.400  10.44  0.0295  215.0  164.259995  4.07   \n",
       "\n",
       "   BIOL         BK  BLCM   BLDP  BLIN  BLRX       BLUE  BMC        BMY  BNED  \\\n",
       "0  0.57  51.279999  3.09  15.84  5.92  3.24  16.580311  NaN  68.019997  8.19   \n",
       "1  0.58  52.000000  3.03  15.63  5.73  3.23  16.262953  NaN  69.309998  7.96   \n",
       "2  0.56  51.490002  2.94  15.22  5.32  3.03  16.191710  NaN  68.489998  7.69   \n",
       "3  0.56  51.799999  3.08  15.23  5.41  3.15  16.755180  NaN  68.419998  7.98   \n",
       "4  0.59  53.160000  3.22  15.49  5.00  3.15  16.211140  NaN  68.120003  8.08   \n",
       "\n",
       "    BNFT  BODY  BOSC  BOTA        BOX  BPHX       BPMC  BPTH          BR  \\\n",
       "0  13.06  9.53  3.94   NaN  24.400000   NaN  86.980003  6.50  173.389999   \n",
       "1  12.87  9.19  3.87   NaN  24.530001   NaN  85.989998  6.47  174.990005   \n",
       "2  11.62  8.64  3.84   NaN  24.389999   NaN  86.989998  6.39  174.039993   \n",
       "3  11.50  8.66  3.91   NaN  24.620001   NaN  89.680000  6.58  173.929993   \n",
       "4  11.56  8.86  3.92   NaN  24.770000   NaN  95.489998  6.77  173.369995   \n",
       "\n",
       "   BRJ.F  BT6.F   BTCS    BTU  BVX  BVXV  BWAY    BYOC       BZUN        CAH  \\\n",
       "0    NaN    NaN  0.560  11.70  NaN  2.88  9.00  0.0012  25.459999  59.570000   \n",
       "1    NaN    NaN  0.530  11.39  NaN  2.89  8.60  0.0013  24.980000  59.630001   \n",
       "2    NaN    NaN  0.540  11.01  NaN  2.77  8.37  0.0014  24.389999  58.980000   \n",
       "3    NaN    NaN  0.541  11.66  NaN  2.75  7.95  0.0014  24.299999  50.570000   \n",
       "4    NaN    NaN  0.577  12.35  NaN  2.72  7.99  0.0013  23.879999  50.990002   \n",
       "\n",
       "   CALA       CALB       CALX   CAMP  CANF   CARA        CASY  CATB  \\\n",
       "0  1.99  17.860001  45.459999  12.08  2.09  12.15  196.789993   NaN   \n",
       "1  2.04  17.750000  46.029999  12.03  2.08  11.67  197.250000   NaN   \n",
       "2  1.90  17.790001  44.860001  11.76  2.07  11.55  192.929993   NaN   \n",
       "3  2.13  17.719999  44.810001  11.81  2.12  12.50  196.220001   NaN   \n",
       "4  2.30  17.700001  45.700001  12.08  2.12  12.78  195.449997   NaN   \n",
       "\n",
       "        CATC  CAVM  CBAY  CBLI  CBPO       CBSH  CBYL  CCE.V  CCIH       CCOI  \\\n",
       "0  82.250000   NaN  3.98   NaN   NaN  66.457146   NaN    NaN   NaN  77.279999   \n",
       "1  84.459999   NaN  3.90   NaN   NaN  65.238098   NaN   0.24   NaN  77.820000   \n",
       "2  83.099998   NaN  3.85   NaN   NaN  65.095238   NaN   0.23   NaN  74.559998   \n",
       "3  84.239998   NaN  3.93   NaN   NaN  65.666664   NaN   0.23   NaN  75.489998   \n",
       "4  85.000000   NaN  3.93   NaN   NaN  67.447617   NaN   0.23   NaN  77.959999   \n",
       "\n",
       "    CCXI  CDEX       CDNA        CDR   CDRBQ  CDTX         CDW  CDXC  CDXI  \\\n",
       "0  14.89   NaN  82.250000  16.700001  0.0208  1.61  183.669998  8.92  1.26   \n",
       "1  15.11   NaN  82.010002  16.620001  0.0208  1.71  185.289993  8.73   NaN   \n",
       "2  15.32   NaN  82.029999  16.660000  0.0200  1.70  188.240005  8.26   NaN   \n",
       "3  15.69   NaN  84.389999  17.250000  0.0209  1.69  190.619995  8.73   NaN   \n",
       "4  15.25   NaN  81.540001  18.139999  0.0209  1.67  190.050003  8.74   NaN   \n",
       "\n",
       "        CDXS  CERC  CERS  CERU       CFBK  CFMS  CGIX    CHCR  CHEK  \\\n",
       "0  21.320000   NaN  5.11   NaN  18.650000  1.57   NaN  0.0410  1.11   \n",
       "1  21.610001   NaN  5.13   NaN  18.850000  1.64   NaN  0.0410  1.10   \n",
       "2  21.600000   NaN  6.19   NaN  19.330000  1.53   NaN  0.0446  1.09   \n",
       "3  22.650000   NaN  6.24   NaN  19.549999  1.56   NaN  0.0446  1.09   \n",
       "4  25.320000   NaN  6.23   NaN  19.240000  1.42   NaN  0.0400  1.13   \n",
       "\n",
       "        CHGG        CHKP  CHMA   CHRS        CHTR  CIDM  CLDN       CLDX  \\\n",
       "0  89.470001  125.910004  4.17  13.10  749.869995  1.70   NaN  43.700001   \n",
       "1  88.459999  127.169998  4.04  13.21  770.020020  1.52   NaN  44.889999   \n",
       "2  88.559998  126.080002  4.00  12.79  770.000000  1.50   NaN  44.840000   \n",
       "3  87.180000  125.510002  3.76  12.96  769.909973  1.58   NaN  47.700001   \n",
       "4  83.949997  124.459999   NaN  13.02  770.090027  1.55   NaN  47.599998   \n",
       "\n",
       "   CLKS  CLSN  CLVS      CMCSA  CMRX        CNC  CNCE  CNET        CNS  \\\n",
       "0   NaN  1.12  4.92  58.470001  6.86  70.309998  3.42  1.59  83.449997   \n",
       "1   NaN  1.07  4.86  58.230000  6.66  69.330002  3.35  1.58  84.279999   \n",
       "2   NaN  1.05  4.82  57.970001  6.48  69.089996  3.31  1.53  84.900002   \n",
       "3   NaN  1.07  5.06  58.340000  6.73  67.230003  3.56  1.58  86.360001   \n",
       "4   NaN  1.09  4.97  58.689999  6.72  66.800003  3.50  1.68  87.290001   \n",
       "\n",
       "     CNTFY  CNXR  COB       CODI  COL       COLL       COMM  CORI  CORR  \\\n",
       "0  0.01500   NaN  NaN  24.879999  NaN  24.959999  20.459999   NaN  5.39   \n",
       "1  0.02900   NaN  NaN  25.209999  NaN  25.250000  20.879999   NaN  5.37   \n",
       "2  0.02000   NaN  NaN  25.250000  NaN  24.940001  20.690001   NaN  5.17   \n",
       "3  0.03199   NaN  NaN  26.040001  NaN  24.840000  16.410000   NaN  5.07   \n",
       "4  0.03105   NaN  NaN  26.370001  NaN  20.540001  16.540001   NaN  5.25   \n",
       "\n",
       "        CORT  COTY  CPYT  CREE  CRIS         CRL         CRM  CRMBQ  CRMD  \\\n",
       "0  21.020000  8.53   0.1   NaN  7.72  405.600006  240.860001  0.062  6.01   \n",
       "1  21.580000  8.53   NaN   NaN  6.99  411.239990  241.130005  0.068  5.90   \n",
       "2  21.570000  8.07   NaN   NaN  7.19  416.309998  244.169998  0.068  5.77   \n",
       "3  21.639999  8.50   NaN   NaN  7.25  409.970001  250.559998  0.065  5.98   \n",
       "4  21.830000  8.60   NaN   NaN  6.94  408.410004  250.589996  0.068  6.01   \n",
       "\n",
       "   CRNT        CROX       CRSR       CRSS       CRTO    CRWG     CRXM  \\\n",
       "0  4.10  136.639999  28.980000  25.680000  38.680000  0.0119  0.05450   \n",
       "1  4.19  137.089996  27.129999  25.600000  40.349998  0.0108  0.04995   \n",
       "2  3.88  140.429993  27.400000  25.750000  39.740002  0.0103  0.04840   \n",
       "3  3.99  141.910004  28.330000  25.200001  39.090000  0.0092  0.04450   \n",
       "4  4.13  140.809998  28.080000  24.500000  38.720001  0.0084  0.04280   \n",
       "\n",
       "         CRY   CSBR       CSCO       CSGS       CSII       CSIQ  CSLT  CSOD  \\\n",
       "0  26.950001  10.50  55.450001  44.799999  38.240002  39.869999  2.22   NaN   \n",
       "1  26.969999  10.62  56.250000  44.910000  37.570000  41.599998  2.10   NaN   \n",
       "2  26.719999  10.49  55.689999  44.470001  37.939999  41.410000  2.06   NaN   \n",
       "3  27.170000  10.77  55.759998  45.980000  39.380001  40.060001  1.89   NaN   \n",
       "4  27.309999  10.55  55.590000  46.060001  38.950001  40.009998  1.98   NaN   \n",
       "\n",
       "         CSX  CTHR  CTMX       CUBE  CUDA  CUI  CVAT   CVM    CVT   CWR.L  \\\n",
       "0  32.090000  2.73  5.61  49.910000   NaN  NaN  0.08  8.15  9.865  1020.0   \n",
       "1  32.430000  2.67  5.74  50.369999  0.06  NaN  0.08  8.31  9.860  1014.0   \n",
       "2  31.920000  2.60  5.58  50.220001  0.07  NaN  0.08  8.83  9.870  1011.0   \n",
       "3  32.150002  2.59  5.79  50.310001  0.06  NaN  0.08  9.25  9.860   973.0   \n",
       "4  32.299999  2.62  5.25  50.139999  0.06  NaN  0.09  9.17  9.860  1024.0   \n",
       "\n",
       "   CXDO        CYBR  CYCC  CYDY  CYRN   CYTK  CYTR  DANG         DD  \\\n",
       "0  6.06  142.369995  5.21  1.54  0.61  28.77  0.75   NaN  74.650002   \n",
       "1  6.31  142.809998  5.00  1.47  0.59  28.83  0.76   NaN  74.389999   \n",
       "2  6.28  143.360001  4.99  1.40  0.59  29.51  0.75   NaN  74.260002   \n",
       "3  6.03  141.460007  5.08  1.34  0.59  30.24  0.78   NaN  74.209999   \n",
       "4  6.05  139.309998  5.08  1.32  0.58  31.82  0.75   NaN  76.070000   \n",
       "\n",
       "         DDD  DEL  DEPO  DGLY         DGX    DIGP       DIOD         DKS  \\\n",
       "0  27.510000  NaN   NaN  1.61  143.039993  0.0457  82.430000  105.139999   \n",
       "1  26.600000  NaN   NaN  1.56  145.360001  0.0496  84.199997  108.250000   \n",
       "2  26.290001  NaN   NaN  1.54  146.710007  0.0478  86.379997  104.690002   \n",
       "3  28.070000  NaN   NaN  1.55  147.300003  0.0455  87.379997  107.779999   \n",
       "4  27.660000  NaN   NaN  1.53  146.600006  0.0493  89.989998  107.550003   \n",
       "\n",
       "   DLPH  DMD  DMPWW      DNACF  DNAI  DPRX         DQ   DRIO       DRNA  DRRX  \\\n",
       "0   NaN  NaN    NaN  19.110001   NaN   NaN  61.029999  14.77  36.939999  1.39   \n",
       "1   NaN  NaN    NaN        NaN   NaN   NaN  60.840000  14.40  36.900002  1.35   \n",
       "2   NaN  NaN    NaN        NaN   NaN   NaN  59.770000  14.01  37.299999  1.30   \n",
       "3   NaN  NaN    NaN        NaN   NaN   NaN  58.560001  14.68  37.919998  1.35   \n",
       "4   NaN  NaN    NaN  18.209999   NaN   NaN  58.150002  14.83  27.250000  1.37   \n",
       "\n",
       "   DSCI   DSS   DTEA  DWCH  DWRE        DXCM  DYAI  DYNT  DYSL       EBAY  \\\n",
       "0   NaN  1.40  3.590   NaN   NaN  511.350006  3.46  1.35  1.18  68.629997   \n",
       "1   NaN  1.37  3.549   NaN   NaN  521.219971  3.34  1.28  1.18  68.010002   \n",
       "2   NaN  1.31  3.510   NaN   NaN  514.530029  3.56  1.29  1.18  68.000000   \n",
       "3   NaN  1.35  3.670   NaN   NaN  523.929993  3.60  1.29  1.23  67.279999   \n",
       "4   NaN  1.32  3.730   NaN   NaN  516.640015  3.69  1.24  1.23  65.489998   \n",
       "\n",
       "   EBIO       EBIX        EBS       ECHO       ECOM  ECTE  ECYT  EDTXF  EFOI  \\\n",
       "0   NaN  30.160000  63.720001  30.590000  23.170000   NaN   NaN  0.300  3.85   \n",
       "1   NaN  30.370001  63.380001  31.950001  23.290001   NaN   NaN  0.300  3.96   \n",
       "2   NaN  29.730000  62.040001  30.950001  22.690001   NaN   NaN  0.300  3.86   \n",
       "3   NaN  30.110001  61.549999  30.629999  24.450001   NaN   NaN  0.299  3.87   \n",
       "4   NaN  30.309999  60.810001  31.230000  24.440001   NaN   NaN  0.291  3.86   \n",
       "\n",
       "          EFX       EGHT  EGLTQ       EGRX  EKSO   EL.V  ELGX  ELON  ELTP  \\\n",
       "0  258.489990  25.969999    NaN  47.360001  4.94    NaN   NaN   NaN  0.05   \n",
       "1  259.690002  25.790001    NaN  47.950001  5.08  0.125   NaN   NaN  0.05   \n",
       "2  256.089996  24.760000    NaN  46.540001  4.90  0.125   NaN   NaN  0.05   \n",
       "3  255.809998  25.570000    NaN  46.470001  5.09  0.120   NaN   NaN  0.04   \n",
       "4  253.830002  25.340000    NaN  45.770000  5.04  0.100   NaN   NaN  0.04   \n",
       "\n",
       "   EMKR  ENA.V        ENB  ENOC        ENPH       ENTA        ENV   EORBF  \\\n",
       "0  8.63    NaN  39.070000   NaN  183.110001  42.549999  74.900002  0.0015   \n",
       "1  8.51    2.4  39.470001   NaN  192.619995  43.099998  74.360001     NaN   \n",
       "2  8.24    NaN  39.180000   NaN  193.929993  42.480000  74.339996  0.0012   \n",
       "3  9.15    NaN  39.509998   NaN  183.449997  46.250000  74.440002  0.0012   \n",
       "4  9.04    3.6  39.540001   NaN  179.740005  44.849998  76.510002  0.0012   \n",
       "\n",
       "         EPAM       EPAY     EPAZ  EPZM        EQIX        ESE   ESPR    ESYL  \\\n",
       "0  558.400024  38.580002  0.01133  6.52  818.989990  93.190002  14.99  0.0032   \n",
       "1  571.210022  40.230000  0.01118  6.56  820.309998  93.199997  14.27  0.0032   \n",
       "2  569.080017  39.639999  0.01260  6.46  828.340027  91.330002  14.00     NaN   \n",
       "3  589.659973  40.680000  0.01350  6.59  830.619995  92.680000  15.00     NaN   \n",
       "4  598.020020  41.680000  0.01300  6.47  820.150024  93.690002  14.21  0.0020   \n",
       "\n",
       "     ETEK  ETRM        ETSY   EVC        EVH  EVOK    EVTI        EXAS  EYEG  \\\n",
       "0  0.0013   NaN  188.889999  6.05  22.639999  1.14  0.0001  108.400002  2.41   \n",
       "1  0.0013   NaN  190.460007  5.88  23.080000  1.12     NaN  104.209999  2.62   \n",
       "2  0.0011   NaN  202.100006  5.81  22.700001  1.08     NaN  105.830002  2.33   \n",
       "3  0.0011   NaN  182.410004  6.15  23.879999  1.10     NaN  108.019997  2.38   \n",
       "4  0.0010   NaN  178.360001  6.69  23.820000  1.08     NaN  102.000000  2.24   \n",
       "\n",
       "        FATE          FB  FCEL  FDC  FENG  FEYE        FIVE        FIVN  FLDM  \\\n",
       "0  85.080002  351.950012  6.33  NaN  1.38   NaN  194.039993  201.889999  6.91   \n",
       "1  83.250000  351.239990  6.20  NaN  1.38   NaN  194.820007  199.399994  7.00   \n",
       "2  85.730003  358.920013  5.98  NaN  1.38   NaN  194.809998  209.699997  6.87   \n",
       "3  95.540001  362.970001  6.19  NaN  1.40   NaN  200.429993  208.220001  6.83   \n",
       "4  95.419998  363.510010  6.33  NaN  1.40   NaN  203.600006  201.679993  6.39   \n",
       "\n",
       "        FLEX         FLT  FLXN        FMS   FOLD       FORM  FPAY  FPRX  FRP  \\\n",
       "0  17.830000  253.979996  6.25  38.360001   9.40  37.889999  2.63   NaN  NaN   \n",
       "1  17.730000  251.289993  6.04  39.980000   9.33  37.860001  2.65   NaN  NaN   \n",
       "2  17.660000  247.600006  5.79  39.930000   9.68  38.500000  2.73   NaN  NaN   \n",
       "3  17.549999  260.790009  6.50  39.970001  10.06  38.299999  2.68   NaN  NaN   \n",
       "4  17.790001  267.049988  5.70  39.430000  10.50  38.650002  2.73   NaN  NaN   \n",
       "\n",
       "        FSLR        FTNT         FV  GAIAX  GALT  GAME     GBEI    GBIM  GBLX  \\\n",
       "0  88.269997  284.619995  47.400002    NaN  3.17  6.26  0.04019  0.5490  0.05   \n",
       "1  92.339996  297.760010  47.730000    NaN  2.99  6.01      NaN  0.4730  0.05   \n",
       "2  92.209999  304.019989  47.389999    NaN  3.15  5.75      NaN  0.4005  0.05   \n",
       "3  91.620003  300.019989  47.700001    NaN  3.16  6.02      NaN  0.5000  0.05   \n",
       "4  93.150002  303.679993  47.619999    NaN  3.44  6.65      NaN  0.5000  0.04   \n",
       "\n",
       "         GBT  GCAP  GCEH        GCO          GD       GDOT   GDPEF  \\\n",
       "0  27.750000   NaN  5.10  57.299999  195.830002  45.639999  0.0001   \n",
       "1  26.889999   NaN  5.10  57.400002  197.320007  44.840000     NaN   \n",
       "2  32.259998   NaN  5.10  52.770000  195.869995  45.520000     NaN   \n",
       "3  33.389999   NaN  4.98  55.340000  196.690002  46.849998     NaN   \n",
       "4  33.590000   NaN  5.02  56.700001  199.080002  47.820000     NaN   \n",
       "\n",
       "           GE  GENE  GEOS  GERN  GEVO   GGLT  GIGA  GIGM  GIMO       GKOS  \\\n",
       "0  100.599998  3.41  8.80  1.25  5.88  400.0  3.41  2.76   NaN  51.009998   \n",
       "1  103.059998  3.46  8.66  1.22  5.84  315.0   NaN  2.73   NaN  49.410000   \n",
       "2  102.910004  3.41  8.52  1.22  5.60  315.0  3.28  2.68   NaN  49.160000   \n",
       "3  103.019997  3.42  8.62  1.28  5.81  283.0  3.28  2.63   NaN  50.959999   \n",
       "4  104.519997  3.40  9.52  1.25  5.81  283.0  3.28  2.64   NaN  51.020000   \n",
       "\n",
       "         GLOB       GLPG    GLRI  GLUU  GLYC       GMED  GMTN  GMVD   GNBT  \\\n",
       "0  235.399994  61.459999  0.0041   NaN  2.01  82.669998   NaN  2.66  0.228   \n",
       "1  238.429993  61.000000  0.0041   NaN  2.03  82.629997   NaN  2.61  0.220   \n",
       "2  242.929993  60.730000  0.0041   NaN  1.97  80.629997   NaN  2.82  0.217   \n",
       "3  250.320007  60.060001  0.0041   NaN  2.15  79.900002   NaN  2.74  0.210   \n",
       "4  258.309998  60.139999  0.0041   NaN  2.06  80.489998   NaN  2.70  0.218   \n",
       "\n",
       "      GNOW   GOGO  GOMO         GOOG  GOVX   GPRO       GREE       GRPN  \\\n",
       "0  0.01555  10.29   NaN  2719.790039  4.38  10.00  63.913044  36.130001   \n",
       "1  0.01555  10.45   NaN  2725.600098  4.33  10.07  54.086956  36.720001   \n",
       "2      NaN  10.40   NaN  2720.570068  4.22   9.88  60.869564  35.840000   \n",
       "3  0.00830  11.62   NaN  2738.800049  4.37  10.07  57.739128  35.630001   \n",
       "4  0.00830  12.01   NaN  2740.719971  4.72  10.09  62.000000  30.610001   \n",
       "\n",
       "        GRUB   GSS  GTAT   GTHP   GTX  GWPH  GWTI       HALO       HBCP  \\\n",
       "0  18.010000  2.54   NaN  0.550  6.86   NaN  0.05  40.549999  35.169998   \n",
       "1  17.709999  2.61   NaN  0.500  7.21   NaN  0.05  40.299999  35.290001   \n",
       "2  17.379999  2.46   NaN  0.480  7.18   NaN  0.05  40.139999  35.480000   \n",
       "3  17.940001  2.38   NaN  0.500  7.32   NaN  0.06  40.419998  36.169998   \n",
       "4  18.150000  2.29   NaN  0.547  7.22   NaN  0.06  40.500000  36.970001   \n",
       "\n",
       "          HCI     HDII  HDP    HDVY  HEWA       HGEN    HGGGQ       HOLX  \\\n",
       "0  102.290001  0.01741  NaN  0.2114  0.20  15.720000  0.02010  75.830002   \n",
       "1  101.550003  0.01880  NaN  0.2000  0.20  15.880000  0.02005  75.739998   \n",
       "2  100.919998  0.01815  NaN  0.1886   NaN  16.000000  0.01825  76.589996   \n",
       "3   98.330002  0.01753  NaN  0.1941  0.17  16.209999  0.01150  76.349998   \n",
       "4  115.639999  0.01740  NaN  0.1950  0.20  15.900000  0.01940  75.940002   \n",
       "\n",
       "          HON  HQCL        HQY   HRZN  HSITF        HSKA   HSTM  HSTO  HTBX  \\\n",
       "0  232.419998   NaN  74.169998  17.48   1.52  250.130005  29.58  0.89  6.33   \n",
       "1  232.649994   NaN  72.169998  17.27    NaN  254.259995  29.98  0.85  6.36   \n",
       "2  229.589996   NaN  71.970001  17.08    NaN  258.380005  29.66  0.84  6.25   \n",
       "3  229.880005   NaN  73.589996  17.27    NaN  262.019989  29.77  0.85  6.48   \n",
       "4  229.679993   NaN  73.169998  17.15    NaN  261.700012  30.24  0.84  6.67   \n",
       "\n",
       "   HTGM        HUBS  HWAY    HYGN  HZD.L        HZNP       IBTX   ICAD  \\\n",
       "0  6.32  596.000000   NaN  0.0001    NaN   99.779999  69.339996  14.14   \n",
       "1  6.23  583.890015   NaN     NaN    NaN   99.760002  70.459999  14.53   \n",
       "2  6.27  590.000000   NaN     NaN    NaN  107.510002  69.599998  14.22   \n",
       "3  6.42  660.000000   NaN     NaN    NaN  106.370003  70.110001  15.40   \n",
       "4  6.37  659.049988   NaN     NaN    NaN  105.959999  72.099998  11.77   \n",
       "\n",
       "          ICE    ICLD  ICON       ICPT   IDN  IDRA   IGAP  IGLDF  IGXT  IMGN  \\\n",
       "0  119.430000  0.0011   NaN  17.350000  9.07  1.05  0.441   8.49  0.51  5.72   \n",
       "1  119.120003  0.0012   NaN  16.639999  8.91  1.11  0.456   5.81  0.48  5.65   \n",
       "2  119.529999  0.0010   NaN  16.520000  9.20  1.04  0.479   5.81  0.47  5.52   \n",
       "3  119.419998  0.0010   NaN  16.870001  8.85  1.07  0.479    NaN  0.43  5.69   \n",
       "4  120.000000  0.0009   NaN  16.620001  8.65  1.06  0.420   9.52  0.40  5.71   \n",
       "\n",
       "    IMH  IMM.L  IMMU  IMMY   IMNPQ  IMO.L  IMPR  IMPV  IMRSQ  IMUN  INFI  \\\n",
       "0  1.70   8.96   NaN   NaN  0.0031    NaN   NaN   NaN    NaN  3.98  2.93   \n",
       "1  1.64   8.65   NaN   NaN  0.0031    NaN   NaN   NaN    NaN  3.70  2.66   \n",
       "2  1.66   8.32   NaN   NaN  0.0032    NaN   NaN   NaN    NaN  3.70  2.66   \n",
       "3  1.64   8.76   NaN   NaN  0.0030    NaN   NaN   NaN    NaN  3.70  3.00   \n",
       "4  1.66   9.30   NaN   NaN  0.0002    NaN   NaN   NaN    NaN  3.05  2.98   \n",
       "\n",
       "    INFN        INFO       INGN  INPC        INS       INSM       INST  \\\n",
       "0   9.86  117.980003  78.680000   NaN  32.939999  24.129999  20.080000   \n",
       "1   9.86  117.900002  78.139999   NaN  33.020000  24.040001  20.150000   \n",
       "2   9.71  117.930000  82.260002   NaN  33.189999  24.770000  20.049999   \n",
       "3  10.05  119.419998  60.290001   NaN  35.540001  25.309999  21.650000   \n",
       "4   9.72  119.610001  64.279999   NaN  35.599998  25.600000  21.070000   \n",
       "\n",
       "         INTU       INVE  INVN  INVO  INVT       IONS  IPHI     IPLY   IPSI  \\\n",
       "0  527.510010  15.960000   NaN  4.40  0.02  37.630001   NaN  0.02456  0.074   \n",
       "1  530.179993  16.360001   NaN  4.41  0.02  37.810001   NaN  0.02638  0.076   \n",
       "2  536.059998  16.450001   NaN  4.32  0.02  37.810001   NaN  0.02969  0.075   \n",
       "3  538.010010  17.350000   NaN  4.32  0.02  39.380001   NaN  0.02969  0.077   \n",
       "4  534.289978  18.180000   NaN  4.27  0.02  38.799999   NaN  0.02969  0.079   \n",
       "\n",
       "        IPWR  IQNT   IRWD       ITM.L  ITMSF  IVTY  IWSY  IZEA        JACK  \\\n",
       "0  15.090000   NaN  13.27  420.000000   0.94   NaN  0.05  2.27  107.639999   \n",
       "1  15.860000   NaN  13.00  417.600006   0.87   NaN  0.05  2.19  104.860001   \n",
       "2  15.810000   NaN  12.94  399.600006   0.86   NaN  0.05  2.17  103.919998   \n",
       "3  16.760000   NaN  13.29  380.399994   0.84   NaN  0.04  2.19  101.099998   \n",
       "4  17.450001   NaN  13.35  391.000000   0.83   NaN  0.05  2.26  101.400002   \n",
       "\n",
       "   JAGX  JAY.L        JAZZ         JD  JMEI         JNJ       JNPR   JOB  \\\n",
       "0  4.35  9.300  170.710007  71.489998   NaN  172.270004  28.010000  0.46   \n",
       "1  4.20  9.000  171.500000  70.239998   NaN  174.389999  29.049999  0.44   \n",
       "2  4.08  9.100  153.550003  71.400002   NaN  173.360001  28.549999  0.45   \n",
       "3  3.99  9.200  148.490005  70.739998   NaN  173.690002  28.219999  0.47   \n",
       "4  4.08  9.335  150.039993  69.589996   NaN  173.110001  28.389999  0.47   \n",
       "\n",
       "   JTPY  KANG         KC  KEYW  KIOR  KJI   KMPH  KNIT   KOS  KPTI  KTWO  KZ  \\\n",
       "0   NaN   NaN  31.059999   NaN   NaN  NaN  10.30  1.75  2.24  8.42   NaN NaN   \n",
       "1   NaN   NaN  29.240000   NaN   NaN  NaN   9.89   NaN  2.21  7.77   NaN NaN   \n",
       "2   NaN   NaN  28.910000   NaN   NaN  NaN   9.72   NaN  2.05  7.82   NaN NaN   \n",
       "3   NaN   NaN  28.190001   NaN   NaN  NaN   9.78   NaN  2.25  5.93   NaN NaN   \n",
       "4   NaN   NaN  27.850000   NaN   NaN  NaN   9.87   NaN  2.29  5.52   NaN NaN   \n",
       "\n",
       "       LBTYA         LC  LCTC  LCTX  LDK  LDRH         LEN  LFVN        LGND  \\\n",
       "0  26.690001  25.809999  3.40  2.59  NaN   NaN  105.849998  8.00  110.949997   \n",
       "1  27.440001  26.059999  3.59  2.61  NaN   NaN  107.290001  7.99  111.050003   \n",
       "2  27.660000  27.559999  3.59  2.56  NaN   NaN  105.440002  7.60  109.059998   \n",
       "3  27.740000  27.290001  3.59  2.58  NaN   NaN  105.449997  7.90  108.970001   \n",
       "4  27.900000  26.910000  3.59  2.55  NaN   NaN  104.050003  7.52  110.029999   \n",
       "\n",
       "   LIFE  LIME         LIN  LITB  LIXT  LJPC         LMT      LNVGY  LOCK  \\\n",
       "0  4.67   NaN  300.220001  1.40  2.80  3.61  368.299988  19.530001   NaN   \n",
       "1  4.55   NaN  302.920013  1.35  2.82  3.64  369.450012  19.299999   NaN   \n",
       "2  4.57   NaN  305.619995  1.34  2.46  3.54  361.640015  19.240000   NaN   \n",
       "3  4.72   NaN  304.829987  1.23  2.57  4.09  360.779999  18.889999   NaN   \n",
       "4  4.70   NaN  305.869995  1.26  2.54  3.99  362.049988  18.860001   NaN   \n",
       "\n",
       "   LOCMQ  LOGM       LPSN  LQMT        LRN    LSCG  LTRX  LVCLY  LVLT  LWLG  \\\n",
       "0  0.001   NaN  63.910000  0.10  30.709999  0.0001  5.15    0.1   NaN  7.53   \n",
       "1    NaN   NaN  64.459999  0.11  31.260000  0.0001  5.03    0.1   NaN  8.55   \n",
       "2    NaN   NaN  62.310001  0.10  30.270000     NaN  4.95    0.1   NaN  8.60   \n",
       "3  0.003   NaN  62.000000  0.10  30.420000  0.0002  5.00    0.1   NaN  8.22   \n",
       "4  0.002   NaN  61.790001  0.10  30.030001  0.0002  4.91    NaN   NaN  8.37   \n",
       "\n",
       "   LXRX  LZ1.F  MACK       MARA  MARK  MATR  MBII         MCK  MCRB  MCUR  \\\n",
       "0  3.65    NaN  5.32  28.230000  1.32   NaN  1.26  203.570007  7.03   NaN   \n",
       "1  3.61    NaN  5.18  27.129999  1.27   NaN  1.41  206.419998  6.96   NaN   \n",
       "2  3.41    NaN  5.21  28.719999  1.21   NaN  1.33  205.369995  7.09   NaN   \n",
       "3  3.59    NaN  5.15  31.469999  1.26   NaN  1.40  199.669998  6.98   NaN   \n",
       "4  3.56    NaN  5.36  34.250000  1.26   NaN  1.40  199.929993  6.98   NaN   \n",
       "\n",
       "          MD  MDGS  MDWD  MEDS  MEIP  MEMS     MG       MGIC       MGNX  \\\n",
       "0  29.690001  1.65  3.87  5.19  2.61   NaN  10.32  17.379999  25.299999   \n",
       "1  30.209999  1.55  3.76  5.02  2.54   NaN  10.58  17.350000  24.900000   \n",
       "2  29.700001  1.56  3.66  4.95  2.60   NaN  10.39  17.309999  24.780001   \n",
       "3  30.330000  1.59  3.78  5.18  2.66   NaN  10.13  17.750000  25.530001   \n",
       "4  33.139999  1.53  3.71  5.12  2.78   NaN  10.33  17.370001  24.540001   \n",
       "\n",
       "   MGP.L       MIME    MIMO  MIR.V       MITK  MKTO  MLSS         MMM  \\\n",
       "0  173.0  55.119999  10.070    NaN  21.580000   NaN  2.02  197.520004   \n",
       "1  173.0  58.009998  10.070   0.12  21.750000   NaN  1.92  201.029999   \n",
       "2  173.0  58.930000  10.075   0.12  21.540001   NaN  1.84  197.529999   \n",
       "3  172.0  58.820000  10.075   0.13  21.680000   NaN  1.83  197.800003   \n",
       "4  172.0  58.590000  10.030   0.12  21.260000   NaN  1.79  198.130005   \n",
       "\n",
       "         MMS  MMX.L       MMYT  MNDO  MNKD  MNOV       MNSB  MNTX  MOBL  MOBQ  \\\n",
       "0  88.059998    7.3  28.150000  3.31  4.03  3.67  23.910000  7.91   NaN   7.7   \n",
       "1  87.660004    7.3  26.740000  3.38  3.99  3.70  23.920000  7.44   NaN   8.0   \n",
       "2  86.139999    7.3  27.010000  3.35  4.03  3.64  23.629999  7.86   NaN   8.0   \n",
       "3  84.699997    7.3  27.850000  3.38  4.20  3.65  24.180000  7.39   NaN   8.2   \n",
       "4  83.989998    7.3  28.450001  3.49  4.04  3.68  24.000000  7.49   NaN   8.2   \n",
       "\n",
       "        MODN  MOGO         MOH    MOR        MORN        MPWR   MRC  MRIN  \\\n",
       "0  31.790001  5.56  274.250000  13.97  257.980011  454.459991  8.55  7.13   \n",
       "1  31.580000  5.55  277.450012  13.69  262.529999  456.540009  8.66  6.68   \n",
       "2  32.650002  5.46  278.790009  13.43  266.179993  466.429993  8.03  5.97   \n",
       "3  32.810001  5.63  268.640015  13.72  261.350006  463.480011  8.32  6.15   \n",
       "4  32.610001  6.08  265.059998  13.26  261.029999  461.790009  8.40  5.87   \n",
       "\n",
       "    MRNS  MTACU       MTLS       MTSI    MTST         MU       MVBF   MVIS  \\\n",
       "0  15.04  10.00  22.360001  61.520000  0.0029  77.639999  40.330002  13.58   \n",
       "1  13.80  10.00  21.629999  60.919998  0.0029  80.860001  40.490002  12.47   \n",
       "2  12.80   9.98  22.059999  61.400002  0.0028  81.980003  39.169998  12.22   \n",
       "3  13.27   9.98  22.510000  61.790001  0.0050  81.489998  41.299999  13.76   \n",
       "4  12.90   9.95  21.820000  61.939999  0.0050  82.000000  44.110001  15.44   \n",
       "\n",
       "         MXL   MYR=X  MYSZ      NA.TO  NABI  NAME  NAVB    NBIO       NBIX  \\\n",
       "0  48.470001  4.2190  1.21        NaN   NaN   NaN  1.64  0.0985  95.910004   \n",
       "1  49.139999  4.2225  1.18  95.750000   NaN   NaN  1.65  0.0990  97.699997   \n",
       "2  50.459999  4.2310  1.16  95.379997   NaN   NaN  1.68  0.1022  93.199997   \n",
       "3  52.220001  4.2195  1.22  95.739998   NaN   NaN  1.66  0.0960  92.690002   \n",
       "4  50.520000  4.2150  1.19  96.339996   NaN   NaN  1.70  0.0960  89.570000   \n",
       "\n",
       "    NBRV   NBY        NCR        NEE        NEO  NEON  NEPH  NERV   NETE  \\\n",
       "0  1.159  0.66  44.369999  78.809998  46.080002  5.36  8.80  1.84  12.12   \n",
       "1  1.220  0.66  44.160000  79.419998  46.189999  5.20  8.90  1.77  11.80   \n",
       "2  1.210  0.63  40.209999  79.870003  47.490002  5.22  8.36  1.71  11.19   \n",
       "3  1.160  0.62  39.680000  80.489998  47.709999  5.39  8.43  1.81  11.73   \n",
       "4  1.170  0.62  41.380001  80.610001  46.750000  5.50  7.95  1.83  11.69   \n",
       "\n",
       "        NEWR  NEWS        NFLX        NGM  NILE   NKTR  NLST  NMRX  NNDM  \\\n",
       "0  69.000000   NaN  515.150024  20.990000  2.34  15.96  8.60   NaN  6.30   \n",
       "1  68.320000   NaN  510.820007  20.150000  2.33  15.80  8.22   NaN  6.22   \n",
       "2  78.830002   NaN  517.349976  22.120001  2.40  15.62  8.14   NaN  6.09   \n",
       "3  82.470001   NaN  524.890015  23.040001  2.44  15.87  7.77   NaN  6.26   \n",
       "4  80.889999   NaN  520.549988  25.360001  2.49  15.77  7.04   NaN  6.24   \n",
       "\n",
       "   NNVC       NOAH         NOW   NPCUF  NPTN      NQ=F    NRTHF   NRTSF  \\\n",
       "0  3.93  39.799999  584.669983  0.0160  9.13  14952.75  0.03990  0.0015   \n",
       "1  3.76  39.619999  584.659973     NaN  8.90  15046.25  0.04935  0.0015   \n",
       "2  3.85  39.799999  593.469971  0.0004  9.66  15073.50  0.04935  0.0015   \n",
       "3  3.91  40.720001  595.500000  0.0004  9.31  15167.75      NaN  0.0015   \n",
       "4  3.91  40.740002  590.679993     NaN  9.32  15095.50      NaN  0.0024   \n",
       "\n",
       "    NSHSF  NSPR       NSTG   NTCXF  NTE.F  NTEC        NTES       NTGR  NTIP  \\\n",
       "0  0.2701  3.78  61.459999  0.0072    NaN   NaN  105.040001  33.880001  3.08   \n",
       "1  0.0700  3.78  62.410000  0.0075    NaN   NaN   93.059998  34.610001  3.03   \n",
       "2  0.2709  3.76  63.560001  0.0075    NaN   NaN   93.019997  34.169998  3.01   \n",
       "3  0.2709  3.84  61.860001  0.0100    NaN   NaN   87.709999  34.459999  3.04   \n",
       "4  0.2900  3.83  60.860001  0.0071    NaN   NaN   87.000000  34.380001  3.03   \n",
       "\n",
       "   NTMD        NTRA  NTSFF  NTWK   NURO       NUVA        NVAX        NVDA  \\\n",
       "0   NaN  112.330002    NaN  4.56  13.12  62.799999  182.720001  197.500000   \n",
       "1   NaN  110.839996    NaN  4.66  14.54  60.290001  188.570007  198.149994   \n",
       "2   NaN  114.519997    NaN  4.61  13.26  61.189999  223.809998  202.740005   \n",
       "3   NaN  119.639999    NaN  4.71  14.27  60.250000  236.199997  206.369995   \n",
       "4   NaN  117.300003    NaN  4.75  13.91  60.169998  189.889999  203.660004   \n",
       "\n",
       "         NVRO       NVTA  NWBO       NWSA        NXPI        NYT   OCUL   OGI  \\\n",
       "0  155.130005  28.290001  1.17  24.740000  208.979996  43.459999  11.26  2.59   \n",
       "1  151.190002  28.500000  1.13  24.070000  210.529999  43.209999  10.78  2.58   \n",
       "2  147.880005  30.920000  1.10  24.330000  212.429993  46.520000  10.51  2.49   \n",
       "3  115.070000  30.870001  1.23  24.850000  212.899994  46.910000  10.84  2.67   \n",
       "4  119.730003  29.660000  1.30  24.719999  213.750000  47.779999  10.53  2.69   \n",
       "\n",
       "   OMBP   OMER         ON  ONCS  ONCY  ONDK    ONE  ONSM  ONTX  ONVO  ONXC  \\\n",
       "0   NaN  14.98  43.639999  2.22  2.27   NaN  0.530   NaN  5.19  7.95  1.06   \n",
       "1   NaN  14.78  45.380001  2.16  2.27   NaN  0.514   NaN  5.04  7.62   NaN   \n",
       "2   NaN  14.50  45.669998  2.14  2.16   NaN  0.890   NaN  5.01  7.51   NaN   \n",
       "3   NaN  15.22  44.820000  2.28  2.19   NaN  0.705   NaN  5.12  7.89   NaN   \n",
       "4   NaN  14.69  45.279999  2.32  2.23   NaN  0.790   NaN  5.13  7.70   NaN   \n",
       "\n",
       "   OPGN   OPK    OPMG   OPRA  OPTT  ORCT  OREX   ORMP       OSIS       OSTK  \\\n",
       "0  2.62  3.55  0.0001   9.79  1.91   NaN   NaN  14.94  98.080002  67.750000   \n",
       "1  2.40  3.61     NaN   9.67  1.90   NaN   NaN  15.49  98.269997  68.059998   \n",
       "2  2.36  3.62     NaN  10.22  1.89   NaN   NaN  15.10  96.260002  66.000000   \n",
       "3  2.47  3.76     NaN   9.80  1.93   NaN   NaN  17.32  96.449997  69.000000   \n",
       "4  2.42  3.81     NaN   9.91  1.92   NaN   NaN  18.26  98.059998  68.050003   \n",
       "\n",
       "        OTEX   OTIC  OVAS    OVIT  OXFD  OXGN   P       PACB  PANC  \\\n",
       "0  51.880001  1.765   NaN  0.0243   NaN   NaN NaN  31.240000   NaN   \n",
       "1  51.860001  1.650   NaN  0.0240   NaN   NaN NaN  30.209999   NaN   \n",
       "2  51.599998  1.690   NaN  0.0202   NaN   NaN NaN  32.130001   NaN   \n",
       "3  52.169998  1.610   NaN  0.0200   NaN   NaN NaN  35.020000   NaN   \n",
       "4  52.619999  1.620   NaN  0.0200   NaN   NaN NaN  32.310001   NaN   \n",
       "\n",
       "         PANW       PATH  PBIO  PBPB  PBYI  PCAF        PCTY  PCYG        PEB  \\\n",
       "0  400.320007  59.669998  2.82  6.86  7.67   NaN  203.559998  5.53  21.709999   \n",
       "1  398.329987  60.549999  2.75  6.88  7.31   NaN  203.449997  5.61  21.680000   \n",
       "2  403.329987  62.000000  2.49  7.22  6.85   NaN  214.449997  5.44  21.370001   \n",
       "3  403.640015  64.589996  2.60  7.31  6.99   NaN  219.279999  5.54  22.129999   \n",
       "4  386.359985  63.060001  2.50  7.16  7.10   NaN  241.800003  5.48  22.320000   \n",
       "\n",
       "   PEIX         PEN  PEYE  PFM.V  PFNX   PFSW   PHOT  PIRS  PKT.V  PMAH  \\\n",
       "0   NaN  265.290009  1.70    NaN   NaN  12.19  0.054  3.52    NaN   NaN   \n",
       "1   NaN  262.170013  1.70   1.11   NaN  12.15  0.052  3.64   1.50   NaN   \n",
       "2   NaN  262.880005   NaN   1.10   NaN  12.50  0.053  3.65   1.49   NaN   \n",
       "3   NaN  270.149994  1.70   1.04   NaN  13.04  0.051  3.76   1.50   NaN   \n",
       "4   NaN  263.940002  1.66   1.04   NaN  12.60  0.052  3.80   1.57   NaN   \n",
       "\n",
       "         PODD         PPG        PRFT  PRKR       PRLB       PRMW        PRO  \\\n",
       "0  278.700012  163.300003   95.370003  1.43  79.379997  16.450001  43.369999   \n",
       "1  278.859985  165.630005   98.000000  1.36  78.290001  16.490000  42.209999   \n",
       "2  279.179993  163.809998   99.199997  1.37  79.800003  16.240000  42.880001   \n",
       "3  280.450012  162.949997  101.120003  1.43  81.489998  16.830000  44.480000   \n",
       "4  275.510010  164.229996  100.650002  1.42  80.470001  16.879999  44.700001   \n",
       "\n",
       "   PRPH  PRSS       PRTS  PSDV       PSTG  PSTI       PTCT  PTK.V  PTLA   PTN  \\\n",
       "0  7.26   NaN  17.290001   NaN  20.040001  3.33  38.680000    NaN   NaN  0.52   \n",
       "1  7.23   NaN  17.389999   NaN  20.320000  3.27  38.540001   1.11   NaN  0.51   \n",
       "2  7.23   NaN  17.150000   NaN  20.299999  3.15  38.480000   1.11   NaN  0.50   \n",
       "3  7.31   NaN  16.959999   NaN  20.730000  3.15  39.889999   1.10   NaN  0.50   \n",
       "4  7.27   NaN  19.930000   NaN  20.110001  3.21  39.919998   1.09   NaN  0.50   \n",
       "\n",
       "   PTTL  PURE        PWR  PXH.F   PYR  QLIK        QLYS  QMCO  QMKR  \\\n",
       "0   NaN  0.40  89.099998  0.696  3.89   NaN  102.830002  6.29   NaN   \n",
       "1   NaN  0.40  91.180000  0.680  3.66   NaN  104.279999  6.33   NaN   \n",
       "2   NaN  0.40  89.040001  0.683  3.52   NaN  103.970001  6.30   NaN   \n",
       "3   NaN  0.41  92.529999  0.662  3.87   NaN  105.160004  6.55   NaN   \n",
       "4   NaN  0.41  92.349998  0.674  3.74   NaN  102.370003  6.40   NaN   \n",
       "\n",
       "        QNST  QRHC  QSII  QTMM  QTNT  QTS        QTWO  QUAD  QUNR   QUOT  \\\n",
       "0  18.150000  6.23   NaN   NaN  3.38  NaN  100.599998  3.48   NaN  10.65   \n",
       "1  17.680000  5.97   NaN   NaN  3.43  NaN   98.410004  3.59   NaN  10.75   \n",
       "2  17.680000  5.57   NaN   NaN  3.58  NaN   98.820000  3.85   NaN  10.83   \n",
       "3  19.059999  5.82   NaN   NaN  3.77  NaN   92.440002  4.27   NaN  10.87   \n",
       "4  18.760000  5.82   NaN   NaN  3.65  NaN   89.959999  4.80   NaN   8.15   \n",
       "\n",
       "        QURE  RACK       RARE  RCKZF   RDCM  RDHL   RDUS    REFG       REGI  \\\n",
       "0  28.950001   NaN  80.839996    NaN  11.20  6.55  15.04  0.0098  58.759998   \n",
       "1  29.360001   NaN  83.769997    NaN  10.96  6.63  14.60  0.0070  59.320000   \n",
       "2  29.420000   NaN  85.449997    NaN  10.82  6.99  14.31  0.0099  57.470001   \n",
       "3  31.110001   NaN  90.309998    NaN  11.23  7.10  14.04  0.0094  61.500000   \n",
       "4  30.520000   NaN  88.500000    NaN  11.00  7.13  14.06  0.0098  60.060001   \n",
       "\n",
       "         REGN   RENN  REPH  RESN        RGEN  RGLS       RGNX  RIBT  RIGL  \\\n",
       "0  577.130005  10.60  1.86  3.05  247.869995  0.77  31.959999  1.01  4.02   \n",
       "1  586.510010   9.82  1.96  2.86  249.070007  0.75  32.049999  0.97  3.78   \n",
       "2  580.950012   9.83  1.85  2.78  252.589996  0.73  31.549999  0.94  3.73   \n",
       "3  602.469971   9.15  1.85  2.87  254.669998  0.72  32.150002  0.94  3.89   \n",
       "4  610.859985   9.35  1.89  2.96  250.649994  0.72  31.309999  0.94  3.81   \n",
       "\n",
       "     RITT   RKDA  RKFL   RKUNF  RKUS  RLJE   RMBS  RMTI  RNET         RNG  \\\n",
       "0  0.0251  2.440  1.16  11.410   NaN   NaN  23.52  0.74   NaN  270.369995   \n",
       "1     NaN  2.415  1.15  11.360   NaN   NaN  24.49  0.74   NaN  269.899994   \n",
       "2     NaN  2.370  1.01  12.000   NaN   NaN  25.00  0.71   NaN  259.660004   \n",
       "3     NaN  2.400  1.09  12.355   NaN   NaN  25.01  0.71   NaN  249.869995   \n",
       "4  0.0251  2.400  1.10  12.210   NaN   NaN  24.91  0.71   NaN  247.429993   \n",
       "\n",
       "        ROAM   ROSGQ   ROXIF         RPD       RPRX  RPX.V  RSASF  RSH  \\\n",
       "0  24.989000  0.0399  0.0159  115.599998  37.209999    NaN   1.08  NaN   \n",
       "1  25.150000  0.0675     NaN  115.360001  37.680000   0.50   1.05  NaN   \n",
       "2  25.313000  0.0400     NaN  116.459999  36.740002   0.46   1.03  NaN   \n",
       "3  25.327999  0.0400     NaN  113.760002  37.250000   0.45   1.04  NaN   \n",
       "4  25.077000  0.0430     NaN  112.489998  36.990002   0.45   1.05  NaN   \n",
       "\n",
       "       RSTAY  RSYS        RTX        RUN       RVNC  RVUE  RWLK  RXII  \\\n",
       "0  98.099998   NaN  86.610001  51.200001  29.280001   NaN  1.47   NaN   \n",
       "1        NaN   NaN  87.970001  53.590000  30.150000   NaN  1.43   NaN   \n",
       "2        NaN   NaN  85.820000  52.810001  29.320000   NaN  1.42   NaN   \n",
       "3        NaN   NaN  86.879997  53.450001  29.830000   NaN  1.45   NaN   \n",
       "4        NaN   NaN  87.580002  48.369999  29.070000   NaN  1.42   NaN   \n",
       "\n",
       "         RXT  RYU.V       SAGE        SAH       SAIC         SAP    SB  SBBP  \\\n",
       "0  17.840000    NaN  43.369999  56.169998  87.099998  143.320007  3.44   NaN   \n",
       "1  17.260000   0.12  41.759998  54.570000  83.690002  145.539993  3.41   NaN   \n",
       "2  17.040001   0.12  41.650002  50.980000  82.360001  146.389999  3.27   NaN   \n",
       "3  17.129999   0.12  43.209999  52.009998  82.400002  148.940002  3.42   NaN   \n",
       "4  17.250000   0.11  41.090000  52.470001  82.519997  146.369995  3.37   NaN   \n",
       "\n",
       "       SBRCY        SBUX  SCAI  SCIO  SCON  SCOR  SCTY  SCYX  SEAB  SEAC  \\\n",
       "0  16.770000  120.370003   NaN   NaN   NaN  4.05  9.09  6.87   NaN  1.10   \n",
       "1  16.950001  119.129997   NaN   NaN   NaN  3.94  9.00  6.91   NaN  1.07   \n",
       "2  16.959999  118.250000   NaN   NaN   NaN  3.86  9.70  6.65   NaN  1.06   \n",
       "3  17.230000  119.029999   NaN   NaN   NaN  3.95  9.25  6.98   NaN  1.06   \n",
       "4  17.370001  119.050003   NaN   NaN   NaN  3.91  9.25  6.92   NaN  1.06   \n",
       "\n",
       "         SEDG       SFBS   SFT   SFUN        SGEN  SGMO       SGRY    SGTB  \\\n",
       "0  257.720001  70.720001  8.56   9.76  154.240005  9.63  54.540001  0.0359   \n",
       "1  299.809998  71.660004  8.28   9.94  158.190002  9.58  56.419998  0.0500   \n",
       "2  292.730011  71.089996  8.19   9.99  163.210007  9.46  47.980000  0.0488   \n",
       "3  286.390015  71.680000  8.27   9.99  162.199997  9.97  49.040001  0.0440   \n",
       "4  295.279999  74.379997  8.56  10.00  160.990005  9.76  50.330002  0.0490   \n",
       "\n",
       "         SHC         SHOP  SIEN  SINA  SIRF  SIRI  SIXD   SLCA     SLNM  \\\n",
       "0  23.330000  1538.670044  7.99   NaN   NaN  6.49  0.10   9.84  0.00675   \n",
       "1  23.190001  1522.560059  7.72   NaN   NaN  6.45  0.10  10.35  0.00650   \n",
       "2  23.240000  1555.520020  7.64   NaN   NaN  6.43  0.06   9.34  0.00650   \n",
       "3  23.160000  1545.550049  7.74   NaN   NaN  6.51  0.06   9.58  0.00420   \n",
       "4  23.030001  1525.060059  7.77   NaN   NaN  6.50  0.06   9.89  0.00420   \n",
       "\n",
       "         SMLR  SMSI       SNAP       SNBR   SNDX  SNSS  SNTA   SNWR  SNYR  \\\n",
       "0  118.199997  5.68  73.500000  99.230003  14.98   NaN   NaN  0.009  0.05   \n",
       "1  114.800003  5.20  73.379997  97.500000  14.41   NaN   NaN  0.007  0.05   \n",
       "2  115.519997  5.00  76.900002  97.250000  13.87   NaN   NaN  0.008  0.05   \n",
       "3  115.000000  5.30  77.320000  99.730003  14.20   NaN   NaN  0.007  0.05   \n",
       "4  115.000000  5.02  75.980003  98.919998  14.31   NaN   NaN  0.009  0.05   \n",
       "\n",
       "   SODA  SOFT       SOHU   SPDC    SPH     SPHS        SPLK  SPLS  SPN.V  \\\n",
       "0   NaN  0.25  20.500000  0.030  15.90  0.01590  141.690002   NaN    NaN   \n",
       "1   NaN  0.25  19.719999  0.023  15.80  0.01429  140.600006   NaN  0.110   \n",
       "2   NaN  0.25  20.120001  0.030  15.35  0.01470  141.199997   NaN  0.105   \n",
       "3   NaN  0.25  20.080000  0.029  15.53  0.01350  146.509995   NaN  0.100   \n",
       "4   NaN  0.25  19.500000  0.023  15.78  0.01490  144.660004   NaN  0.100   \n",
       "\n",
       "        SPNS  SPRWF    SPX.L          SQ  SQD.V  SQNS         SR         SRE  \\\n",
       "0  25.180000    NaN  15195.0  272.380005    NaN  5.43  71.650002  131.250000   \n",
       "1  25.080000    NaN  15235.0  269.489990   0.17  5.51  73.150002  131.979996   \n",
       "2  27.160000    NaN  15330.0  266.420013   0.16  5.47  72.919998  130.860001   \n",
       "3  28.350000    NaN  15410.0  281.809998   0.16  5.52  73.209999  132.940002   \n",
       "4  28.139999    NaN  15115.0  275.100006   0.17  5.55  72.589996  132.330002   \n",
       "\n",
       "   SREV   SRNA       SRPT  SSKN  SSNI       SSYS  STAY         STE        STL  \\\n",
       "0  1.58  0.073  68.589996  1.46   NaN  19.879999   NaN  218.330002  21.660000   \n",
       "1  1.58  0.077  69.040001  1.38   NaN  19.639999   NaN  218.940002  22.260000   \n",
       "2  1.57  0.075  67.500000  1.41   NaN  19.700001   NaN  216.470001  21.950001   \n",
       "3  1.54  0.073  78.540001  1.41   NaN  21.889999   NaN  215.529999  22.370001   \n",
       "4  1.50  0.077  79.800003  1.40   NaN  21.320000   NaN  216.289993  23.129999   \n",
       "\n",
       "         STT        STX  STXS       SUPN        SWI  SYKWF  SYNC   SYSX  \\\n",
       "0  87.010002  88.500000  9.13  26.740000  22.070000    0.1   NaN  2.550   \n",
       "1  88.019997  90.419998  8.99  26.889999  22.639999    NaN   NaN  2.700   \n",
       "2  86.589996  89.320000  8.93  27.180000  20.530001    NaN   NaN  2.840   \n",
       "3  87.489998  90.900002  8.88  26.590000  20.360001    NaN   NaN  2.725   \n",
       "4  90.000000  92.150002  9.00  26.400000  19.090000    NaN   NaN  3.120   \n",
       "\n",
       "           T  TA8.F   TBPH  TBRA      TCEHY   TCOM  TCON        TDOC  \\\n",
       "0  28.110001   0.64  13.82   NaN  61.320000  25.99  3.78  150.059998   \n",
       "1  28.190001    NaN  13.63   NaN  56.830002  24.59  3.40  151.410004   \n",
       "2  27.850000    NaN  13.00   NaN  59.139999  24.18  3.45  149.729996   \n",
       "3  27.940001    NaN  13.45   NaN  57.400002  24.73  3.68  153.029999   \n",
       "4  27.959999    NaN  13.00   NaN  57.709999  24.67  3.62  149.259995   \n",
       "\n",
       "         TDS  TEDU  TELK         TER  TERP   TGEN       TGTX  THLD  TII.V  \\\n",
       "0  20.160000  9.60   NaN  127.019997   NaN  1.951  27.420000   NaN    NaN   \n",
       "1  20.270000  7.65   NaN  126.739998   NaN  1.940  25.469999   NaN   6.55   \n",
       "2  19.389999  6.25   NaN  127.900002   NaN  1.900  24.250000   NaN   6.55   \n",
       "3  19.559999  6.50   NaN  126.580002   NaN  1.890  24.450001   NaN    NaN   \n",
       "4  19.350000  6.70   NaN  126.870003   NaN  1.874  23.520000   NaN   6.30   \n",
       "\n",
       "   TIVO  TLK.V   TLOG  TMDI        TNDM   TNGNQ  TNXP  TOKTY   TOUR  TRIV  \\\n",
       "0   NaN    NaN  0.021  1.71  106.620003  0.0001  0.72   3.52  1.900   NaN   \n",
       "1   NaN    NaN  0.015  1.64  104.989998     NaN  0.69    NaN  1.855   NaN   \n",
       "2   NaN    NaN  0.025  1.61  105.000000     NaN  0.66    NaN  1.820   NaN   \n",
       "3   NaN    NaN  0.021  1.68  109.970001     NaN  0.69    NaN  1.890   NaN   \n",
       "4   NaN    NaN  0.024  1.69  107.139999     NaN  0.69    NaN  1.910   NaN   \n",
       "\n",
       "        TRMB       TRMR        TRN         TRU  TRUE        TRUP  TRVN  TRXC  \\\n",
       "0  85.309998  22.360001  26.980000  120.500000  5.32  114.089996  1.36   NaN   \n",
       "1  85.809998  21.760000  27.889999  120.690002  5.27  115.930000  1.36   NaN   \n",
       "2  86.730003  21.709999  27.260000  119.459999  5.21  114.949997  1.25   NaN   \n",
       "3  89.419998  21.680000  27.520000  120.459999  5.21  113.809998  1.43   NaN   \n",
       "4  89.360001  22.080000  27.870001  119.889999  4.16   99.400002  1.40   NaN   \n",
       "\n",
       "         TSC  TSCRF       TSEM       TSL.L        TSLA  TSRO  TTCNF  \\\n",
       "0  20.230000    NaN  29.320000   97.199997  709.669983   NaN   3.27   \n",
       "1  20.160000    NaN  29.500000   96.000000  709.739990   NaN    NaN   \n",
       "2  20.049999    NaN  29.250000   93.000000  710.919983   NaN    NaN   \n",
       "3  20.440001    NaN  29.490000   92.000000  714.630005   NaN    NaN   \n",
       "4  20.980000    NaN  29.309999  100.000000  699.099976   NaN    NaN   \n",
       "\n",
       "         TTEK       TTGT  TTHI  TTNP  TTOO  TTPH  TUBE       TWOU       TWTR  \\\n",
       "0  131.759995  73.050003   NaN  2.26  1.07   NaN   NaN  44.660000  69.129997   \n",
       "1  133.759995  72.690002   NaN  2.31  1.06   NaN   NaN  42.680000  68.629997   \n",
       "2  133.339996  73.589996   NaN  2.24  1.21   NaN   NaN  41.820000  68.699997   \n",
       "3  135.539993  82.930000   NaN  2.26  1.17   NaN   NaN  41.630001  69.279999   \n",
       "4  136.080002  81.400002   NaN  2.22  1.05   NaN   NaN  41.240002  67.370003   \n",
       "\n",
       "   TXMD         TXN          UI  ULBI        ULTA  ULUR         UNH    UNXLQ  \\\n",
       "0  1.01  190.720001  310.079987  7.97  336.760010  0.26  415.570007  0.00380   \n",
       "1  0.98  189.339996  317.320007  8.06  346.660004  0.26  421.899994  0.00285   \n",
       "2  0.91  192.380005  317.690002  8.18  342.570007   NaN  421.540009  0.00285   \n",
       "3  0.94  193.160004  313.769989  8.38  351.649994  0.27  411.190002  0.00285   \n",
       "4  0.95  192.960007  315.380005  8.60  352.989990  0.27  415.119995  0.00370   \n",
       "\n",
       "   UQM  UR.TO  USAT   USRM        UTHR  UTSI  V1  VAL.L  VBAY  VBIV  \\\n",
       "0  NaN    NaN   NaN  0.013  179.860001  1.40 NaN  18.25   NaN  3.03   \n",
       "1  NaN    NaN   NaN  0.013  180.660004  1.40 NaN  18.25   NaN  3.10   \n",
       "2  NaN    NaN   NaN  0.014  206.089996  1.38 NaN  18.25   NaN  3.12   \n",
       "3  NaN    NaN   NaN  0.013  205.419998  1.37 NaN  18.10   NaN  3.18   \n",
       "4  NaN    NaN   NaN  0.013  213.330002  1.38 NaN  17.85   NaN  3.08   \n",
       "\n",
       "        VCRA     VCST       VCYT       VECO        VEEV  VER   VET        VFC  \\\n",
       "0  43.220001  0.00580  43.939999  23.000000  332.779999  NaN  7.05  81.830002   \n",
       "1  44.230000  0.00790  44.599998  23.209999  338.049988  NaN  7.33  81.570000   \n",
       "2  44.639999  0.00788  46.340000  22.379999  340.980011  NaN  6.85  79.269997   \n",
       "3  46.000000  0.01260  47.840000  22.500000  341.000000  NaN  7.00  80.559998   \n",
       "4  46.060001  0.00851  46.970001  23.070000  338.820007  NaN  7.08  80.620003   \n",
       "\n",
       "      VG  VGGL   VHC  VIEW       VIPS  VIT  VKTX  VLTCP  VLX.L  VMEM   VNDA  \\\n",
       "0  14.51   NaN  4.16  6.18  16.900000  NaN  6.06    NaN  345.0   NaN  16.91   \n",
       "1  14.48   NaN  3.98  6.08  17.370001  NaN  5.97    NaN  351.0   NaN  16.92   \n",
       "2  14.31   NaN  4.02  5.97  17.620001  NaN  5.85    NaN  354.0   NaN  15.94   \n",
       "3  14.93   NaN  4.13  6.29  17.490000  NaN  6.15    NaN  351.0   NaN  16.01   \n",
       "4  14.70   NaN  4.13  6.18  17.299999  NaN  6.12    NaN  349.0   NaN  16.00   \n",
       "\n",
       "        VNET  VNRX        VPG  VPT.V   VRCA  VRNGW       VRNS  VRSO  VRTU  \\\n",
       "0  17.750000  3.35  36.180000    NaN  10.87    NaN  60.990002   NaN   NaN   \n",
       "1  17.500000  3.31  35.750000   0.34  10.65    NaN  59.000000   NaN   NaN   \n",
       "2  17.200001  3.28  35.799999   0.32  10.58    NaN  59.150002   NaN   NaN   \n",
       "3  17.129999  3.20  36.150002   0.40  11.10    NaN  60.020000   NaN   NaN   \n",
       "4  18.080000  3.17  36.680000   0.43  10.60    NaN  58.189999   NaN   NaN   \n",
       "\n",
       "         VRTX  VSAR       VSAT        VSL  VSTM   VTEQ  VTGN  VTNR  VTYX  \\\n",
       "0  198.320007   NaN  48.090000  43.379002  3.21  0.201  2.75  8.92   NaN   \n",
       "1  200.050003   NaN  48.430000  43.659000  2.88  0.201  2.76  8.64   NaN   \n",
       "2  199.589996   NaN  48.060001  43.529999  2.94  0.201  2.64  8.40   NaN   \n",
       "3  202.990005   NaN  52.160000  43.418999  3.07  0.200  2.79  8.66   NaN   \n",
       "4  200.669998   NaN  51.869999  43.608002  3.05  0.200  2.78  8.75   NaN   \n",
       "\n",
       "    VUZI  VYGR         VZ           W         WB        WDAY        WDC  WFBI  \\\n",
       "0  14.79  3.32  55.759998  242.369995  57.500000  233.649994  64.690002   NaN   \n",
       "1  14.18  3.29  55.730000  249.490005  56.580002  235.360001  66.139999   NaN   \n",
       "2  13.68  3.18  55.369999  251.050003  56.849998  232.229996  64.940002   NaN   \n",
       "3  14.00  3.18  55.299999  276.160004  56.580002  236.000000  67.070000   NaN   \n",
       "4  13.54  3.31  55.220001  263.820007  55.669998  235.720001  68.760002   NaN   \n",
       "\n",
       "   WHLR  WIFI  WINMQ         WIX          WK       WOOF         WSM  WSSI  \\\n",
       "0  2.69   NaN    NaN  298.660004  129.070007  20.230000  154.830002   NaN   \n",
       "1  3.25   NaN    NaN  295.109985  128.660004  19.559999  158.699997   NaN   \n",
       "2  3.53   NaN    NaN  294.359985  138.699997  19.709999  156.520004   NaN   \n",
       "3  3.28   NaN    NaN  273.980011  135.750000  19.740000  157.910004   NaN   \n",
       "4  3.12   NaN    NaN  267.679993  133.139999  19.969999  154.649994   NaN   \n",
       "\n",
       "    WVE   XENE       XENT  XING    XL        XLRN       XNCR  XNET  XOXO  \\\n",
       "0  5.61  17.58  24.230000   NaN  6.88  124.720001  30.870001  3.71   NaN   \n",
       "1  5.56  17.24  23.990000   NaN  6.65  123.010002  31.360001  3.62   NaN   \n",
       "2  5.55  16.73  24.480000   NaN  6.56  126.500000  31.059999  3.63   NaN   \n",
       "3  6.03  17.00  24.520000   NaN  6.67  127.379997  32.270000  3.70   NaN   \n",
       "4  5.94  16.50  27.370001   NaN  6.94  124.570000  31.219999  3.87   NaN   \n",
       "\n",
       "   XPLR        XRX  XTLY  XTNT  XXII       YELP     YGYI  YUME         YY  \\\n",
       "0   NaN  24.080000   NaN  1.30  3.18  37.000000  0.20509   NaN  52.959999   \n",
       "1   NaN  24.370001   NaN  1.32  3.12  36.500000  0.23700   NaN  50.419998   \n",
       "2   NaN  23.440001   NaN  1.33  2.99  35.930000  0.23100   NaN  49.970001   \n",
       "3   NaN  23.480000   NaN  1.29  3.52  37.200001  0.22400   NaN  49.950001   \n",
       "4   NaN  23.950001   NaN  1.32  3.53  39.150002  0.21000   NaN  49.080002   \n",
       "\n",
       "            Z  ZAYO        ZBRA         ZEN       ZGNX  ZGSI       ZION  ZIOP  \\\n",
       "0  107.519997   NaN  550.969971  129.350006  16.320000  2.09  51.630001  2.30   \n",
       "1  104.589996   NaN  546.739990  127.209999  16.299999  2.09  52.740002  2.29   \n",
       "2  109.230003   NaN  560.000000  127.459999  16.170000   NaN  52.230000  2.22   \n",
       "3  110.239998   NaN  569.219971  129.419998  16.530001   NaN  53.119999  2.31   \n",
       "4  101.150002   NaN  562.270020  128.619995  14.270000   NaN  54.990002  2.27   \n",
       "\n",
       "           ZM   ZNGA   ZSAN  ZYNE  \n",
       "0  378.959991  10.06  0.751  4.50  \n",
       "1  374.880005   9.87  0.760  4.44  \n",
       "2  400.579987   9.90  0.739  4.33  \n",
       "3  398.679993   9.77  0.750  4.53  \n",
       "4  383.470001   7.99  0.774  4.44  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock = yf.download(text, start=\"2021-08-01\", end=\"2021-11-25\")\n",
    "stock = stock[\"Close\"]\n",
    "stock = stock.reset_index()\n",
    "stock.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a5c5ab72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.heatmap(stock.isnull())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b7829318",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(83, 1007)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "fd91c1b3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percentage of missing values: \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "OREX     100.000000\n",
       "PCAF     100.000000\n",
       "CORI     100.000000\n",
       "COL      100.000000\n",
       "COB      100.000000\n",
       "            ...    \n",
       "GOGO       1.204819\n",
       "GOOG       1.204819\n",
       "PXH.F      0.000000\n",
       "MYR=X      0.000000\n",
       "Date       0.000000\n",
       "Length: 1007, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Percentage of missing values: \")\n",
    "display((100*stock.isnull().sum()/stock.shape[0]).sort_values(ascending=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "32adb882",
   "metadata": {},
   "outputs": [],
   "source": [
    "stock1 = stock[stock.columns[stock.isnull().sum()/stock.shape[0] < 0.2]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "5fe70631",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.heatmap(stock1.isnull())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "71549bc9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(83, 723)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock1.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "0a89e662",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 83 entries, 0 to 82\n",
      "Columns: 723 entries, Date to ZYNE\n",
      "dtypes: datetime64[ns](1), float64(722)\n",
      "memory usage: 468.9 KB\n"
     ]
    }
   ],
   "source": [
    "stock1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4b33d6df",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percentage of missing values: \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "NTCXF    19.277108\n",
       "NETE     18.072289\n",
       "IMUN     16.867470\n",
       "PEYE     15.662651\n",
       "MTACU    14.457831\n",
       "           ...    \n",
       "ENPH      1.204819\n",
       "ENV       1.204819\n",
       "MYR=X     0.000000\n",
       "PXH.F     0.000000\n",
       "Date      0.000000\n",
       "Length: 723, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Percentage of missing values: \")\n",
    "display((100*stock1.isnull().sum()/stock1.shape[0]).sort_values(ascending=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "377d472e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Huy Nam TRAN\\anaconda3\\envs\\huynam\\lib\\site-packages\\pandas\\core\\indexing.py:1851: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_single_column(loc, val, pi)\n"
     ]
    }
   ],
   "source": [
    "stock1.iloc[:,1:]= stock1.iloc[:,1:].interpolate(method='polynomial', order=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "1cfa2618",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><div id=67099907-8a60-4095-9294-cd1931510112 style=\"display:none; background-color:#9D6CFF; color:white; width:200px; height:30px; padding-left:5px; border-radius:4px; flex-direction:row; justify-content:space-around; align-items:center;\" onmouseover=\"this.style.backgroundColor='#BA9BF8'\" onmouseout=\"this.style.backgroundColor='#9D6CFF'\" onclick=\"window.commands?.execute('create-mitosheet-from-dataframe-output');\">See Full Dataframe in Mito</div> <script> if (window.commands.hasCommand('create-mitosheet-from-dataframe-output')) document.getElementById('67099907-8a60-4095-9294-cd1931510112').style.display = 'flex' </script> <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>AACAY</th>\n",
       "      <th>AAOI</th>\n",
       "      <th>AAPL</th>\n",
       "      <th>ABB</th>\n",
       "      <th>ABIO</th>\n",
       "      <th>ABT</th>\n",
       "      <th>AC.TO</th>\n",
       "      <th>ACAD</th>\n",
       "      <th>ACCO</th>\n",
       "      <th>ACINX</th>\n",
       "      <th>ACLS</th>\n",
       "      <th>ACOR</th>\n",
       "      <th>ACRE</th>\n",
       "      <th>ACRS</th>\n",
       "      <th>ACRX</th>\n",
       "      <th>ACTG</th>\n",
       "      <th>ACUR</th>\n",
       "      <th>ADAP</th>\n",
       "      <th>ADMA</th>\n",
       "      <th>ADMP</th>\n",
       "      <th>ADMS</th>\n",
       "      <th>ADP</th>\n",
       "      <th>ADUS</th>\n",
       "      <th>ADXN</th>\n",
       "      <th>ADXS</th>\n",
       "      <th>AEHR</th>\n",
       "      <th>AEMD</th>\n",
       "      <th>AERI</th>\n",
       "      <th>AEYE</th>\n",
       "      <th>AFMD</th>\n",
       "      <th>AGEN</th>\n",
       "      <th>AGIO</th>\n",
       "      <th>AGRX</th>\n",
       "      <th>AGTC</th>\n",
       "      <th>AGY.L</th>\n",
       "      <th>AKBA</th>\n",
       "      <th>AKTX</th>\n",
       "      <th>ALDX</th>\n",
       "      <th>ALGN</th>\n",
       "      <th>ALIM</th>\n",
       "      <th>ALL</th>\n",
       "      <th>ALNY</th>\n",
       "      <th>ALPN</th>\n",
       "      <th>ALRM</th>\n",
       "      <th>AMBA</th>\n",
       "      <th>AMBO</th>\n",
       "      <th>AMGN</th>\n",
       "      <th>AMMJ</th>\n",
       "      <th>AMNL</th>\n",
       "      <th>AMPE</th>\n",
       "      <th>AMRN</th>\n",
       "      <th>AMRS</th>\n",
       "      <th>AMSC</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>ANAC</th>\n",
       "      <th>ANGI</th>\n",
       "      <th>ANIP</th>\n",
       "      <th>ANTE</th>\n",
       "      <th>AOSL</th>\n",
       "      <th>APDN</th>\n",
       "      <th>APPF</th>\n",
       "      <th>AQB</th>\n",
       "      <th>ARDX</th>\n",
       "      <th>ARGX</th>\n",
       "      <th>ARI</th>\n",
       "      <th>ARNA</th>\n",
       "      <th>ARRY</th>\n",
       "      <th>ART.V</th>\n",
       "      <th>ARWR</th>\n",
       "      <th>ASND</th>\n",
       "      <th>ASPN</th>\n",
       "      <th>ASTI</th>\n",
       "      <th>ASUR</th>\n",
       "      <th>ATEC</th>\n",
       "      <th>ATEN</th>\n",
       "      <th>ATGN</th>\n",
       "      <th>ATHN</th>\n",
       "      <th>ATHX</th>\n",
       "      <th>ATNF</th>\n",
       "      <th>ATNM</th>\n",
       "      <th>ATOS</th>\n",
       "      <th>ATRA</th>\n",
       "      <th>ATRC</th>\n",
       "      <th>ATTBF</th>\n",
       "      <th>AUSI</th>\n",
       "      <th>AVA</th>\n",
       "      <th>AVEO</th>\n",
       "      <th>AVGR</th>\n",
       "      <th>AXDX</th>\n",
       "      <th>AXGN</th>\n",
       "      <th>AXSM</th>\n",
       "      <th>AZPN</th>\n",
       "      <th>BA.L</th>\n",
       "      <th>BABA</th>\n",
       "      <th>BB</th>\n",
       "      <th>BCLI</th>\n",
       "      <th>BCOV</th>\n",
       "      <th>BCRX</th>\n",
       "      <th>BDSI</th>\n",
       "      <th>BERI</th>\n",
       "      <th>BFLY</th>\n",
       "      <th>BGO.L</th>\n",
       "      <th>BIDU</th>\n",
       "      <th>BIOC</th>\n",
       "      <th>BIOL</th>\n",
       "      <th>BK</th>\n",
       "      <th>BLCM</th>\n",
       "      <th>BLDP</th>\n",
       "      <th>BLIN</th>\n",
       "      <th>BLRX</th>\n",
       "      <th>BLUE</th>\n",
       "      <th>BMY</th>\n",
       "      <th>BNED</th>\n",
       "      <th>BNFT</th>\n",
       "      <th>BODY</th>\n",
       "      <th>BOSC</th>\n",
       "      <th>BOX</th>\n",
       "      <th>BPMC</th>\n",
       "      <th>BPTH</th>\n",
       "      <th>BR</th>\n",
       "      <th>BTCS</th>\n",
       "      <th>BTU</th>\n",
       "      <th>BVXV</th>\n",
       "      <th>BWAY</th>\n",
       "      <th>BYOC</th>\n",
       "      <th>BZUN</th>\n",
       "      <th>CAH</th>\n",
       "      <th>CALA</th>\n",
       "      <th>CALB</th>\n",
       "      <th>CALX</th>\n",
       "      <th>CAMP</th>\n",
       "      <th>CANF</th>\n",
       "      <th>CARA</th>\n",
       "      <th>CASY</th>\n",
       "      <th>CATC</th>\n",
       "      <th>CBAY</th>\n",
       "      <th>CBSH</th>\n",
       "      <th>CCE.V</th>\n",
       "      <th>CCOI</th>\n",
       "      <th>CCXI</th>\n",
       "      <th>CDNA</th>\n",
       "      <th>CDR</th>\n",
       "      <th>CDTX</th>\n",
       "      <th>CDW</th>\n",
       "      <th>CDXC</th>\n",
       "      <th>CDXS</th>\n",
       "      <th>CERS</th>\n",
       "      <th>CFBK</th>\n",
       "      <th>CFMS</th>\n",
       "      <th>CHEK</th>\n",
       "      <th>CHGG</th>\n",
       "      <th>CHKP</th>\n",
       "      <th>CHRS</th>\n",
       "      <th>CHTR</th>\n",
       "      <th>CIDM</th>\n",
       "      <th>CLDX</th>\n",
       "      <th>CLSN</th>\n",
       "      <th>CLVS</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CMRX</th>\n",
       "      <th>CNC</th>\n",
       "      <th>CNCE</th>\n",
       "      <th>CNET</th>\n",
       "      <th>CNS</th>\n",
       "      <th>CODI</th>\n",
       "      <th>COLL</th>\n",
       "      <th>COMM</th>\n",
       "      <th>CORR</th>\n",
       "      <th>CORT</th>\n",
       "      <th>COTY</th>\n",
       "      <th>CRIS</th>\n",
       "      <th>CRL</th>\n",
       "      <th>CRM</th>\n",
       "      <th>CRMD</th>\n",
       "      <th>CRNT</th>\n",
       "      <th>CROX</th>\n",
       "      <th>CRSR</th>\n",
       "      <th>CRSS</th>\n",
       "      <th>CRTO</th>\n",
       "      <th>CRWG</th>\n",
       "      <th>CRY</th>\n",
       "      <th>CSBR</th>\n",
       "      <th>CSCO</th>\n",
       "      <th>CSGS</th>\n",
       "      <th>CSII</th>\n",
       "      <th>CSIQ</th>\n",
       "      <th>CSLT</th>\n",
       "      <th>CSX</th>\n",
       "      <th>CTHR</th>\n",
       "      <th>CTMX</th>\n",
       "      <th>CUBE</th>\n",
       "      <th>CVAT</th>\n",
       "      <th>CVM</th>\n",
       "      <th>CVT</th>\n",
       "      <th>CWR.L</th>\n",
       "      <th>CXDO</th>\n",
       "      <th>CYBR</th>\n",
       "      <th>CYCC</th>\n",
       "      <th>CYDY</th>\n",
       "      <th>CYRN</th>\n",
       "      <th>CYTK</th>\n",
       "      <th>CYTR</th>\n",
       "      <th>DD</th>\n",
       "      <th>DDD</th>\n",
       "      <th>DGLY</th>\n",
       "      <th>DGX</th>\n",
       "      <th>DIGP</th>\n",
       "      <th>DIOD</th>\n",
       "      <th>DKS</th>\n",
       "      <th>DQ</th>\n",
       "      <th>DRIO</th>\n",
       "      <th>DRNA</th>\n",
       "      <th>DRRX</th>\n",
       "      <th>DSS</th>\n",
       "      <th>DTEA</th>\n",
       "      <th>DXCM</th>\n",
       "      <th>DYAI</th>\n",
       "      <th>DYNT</th>\n",
       "      <th>EBAY</th>\n",
       "      <th>EBIX</th>\n",
       "      <th>EBS</th>\n",
       "      <th>ECHO</th>\n",
       "      <th>ECOM</th>\n",
       "      <th>EDTXF</th>\n",
       "      <th>EFOI</th>\n",
       "      <th>EFX</th>\n",
       "      <th>EGHT</th>\n",
       "      <th>EGRX</th>\n",
       "      <th>EKSO</th>\n",
       "      <th>ELTP</th>\n",
       "      <th>EMKR</th>\n",
       "      <th>ENA.V</th>\n",
       "      <th>ENB</th>\n",
       "      <th>ENPH</th>\n",
       "      <th>ENTA</th>\n",
       "      <th>ENV</th>\n",
       "      <th>EPAM</th>\n",
       "      <th>EPAY</th>\n",
       "      <th>EPAZ</th>\n",
       "      <th>EPZM</th>\n",
       "      <th>EQIX</th>\n",
       "      <th>ESE</th>\n",
       "      <th>ESPR</th>\n",
       "      <th>ESYL</th>\n",
       "      <th>ETEK</th>\n",
       "      <th>ETSY</th>\n",
       "      <th>EVC</th>\n",
       "      <th>EVH</th>\n",
       "      <th>EVOK</th>\n",
       "      <th>EXAS</th>\n",
       "      <th>EYEG</th>\n",
       "      <th>FATE</th>\n",
       "      <th>FB</th>\n",
       "      <th>FCEL</th>\n",
       "      <th>FENG</th>\n",
       "      <th>FIVE</th>\n",
       "      <th>FIVN</th>\n",
       "      <th>FLDM</th>\n",
       "      <th>FLEX</th>\n",
       "      <th>FLT</th>\n",
       "      <th>FLXN</th>\n",
       "      <th>FMS</th>\n",
       "      <th>FOLD</th>\n",
       "      <th>FORM</th>\n",
       "      <th>FPAY</th>\n",
       "      <th>FSLR</th>\n",
       "      <th>FTNT</th>\n",
       "      <th>FV</th>\n",
       "      <th>GALT</th>\n",
       "      <th>GAME</th>\n",
       "      <th>GBLX</th>\n",
       "      <th>GBT</th>\n",
       "      <th>GCEH</th>\n",
       "      <th>GCO</th>\n",
       "      <th>GD</th>\n",
       "      <th>GDOT</th>\n",
       "      <th>GE</th>\n",
       "      <th>GENE</th>\n",
       "      <th>GEOS</th>\n",
       "      <th>GERN</th>\n",
       "      <th>GEVO</th>\n",
       "      <th>GIGM</th>\n",
       "      <th>GKOS</th>\n",
       "      <th>GLOB</th>\n",
       "      <th>GLPG</th>\n",
       "      <th>GLYC</th>\n",
       "      <th>GMED</th>\n",
       "      <th>GMVD</th>\n",
       "      <th>GNBT</th>\n",
       "      <th>GOGO</th>\n",
       "      <th>GOOG</th>\n",
       "      <th>GOVX</th>\n",
       "      <th>GPRO</th>\n",
       "      <th>GREE</th>\n",
       "      <th>GRPN</th>\n",
       "      <th>GRUB</th>\n",
       "      <th>GSS</th>\n",
       "      <th>GTHP</th>\n",
       "      <th>GTX</th>\n",
       "      <th>GWTI</th>\n",
       "      <th>HALO</th>\n",
       "      <th>HBCP</th>\n",
       "      <th>HCI</th>\n",
       "      <th>HDII</th>\n",
       "      <th>HDVY</th>\n",
       "      <th>HGEN</th>\n",
       "      <th>HOLX</th>\n",
       "      <th>HON</th>\n",
       "      <th>HQY</th>\n",
       "      <th>HRZN</th>\n",
       "      <th>HSKA</th>\n",
       "      <th>HSTM</th>\n",
       "      <th>HSTO</th>\n",
       "      <th>HTBX</th>\n",
       "      <th>HTGM</th>\n",
       "      <th>HUBS</th>\n",
       "      <th>HZNP</th>\n",
       "      <th>IBTX</th>\n",
       "      <th>ICAD</th>\n",
       "      <th>ICE</th>\n",
       "      <th>ICLD</th>\n",
       "      <th>ICPT</th>\n",
       "      <th>IDN</th>\n",
       "      <th>IDRA</th>\n",
       "      <th>IGAP</th>\n",
       "      <th>IGXT</th>\n",
       "      <th>IMGN</th>\n",
       "      <th>IMH</th>\n",
       "      <th>IMM.L</th>\n",
       "      <th>IMNPQ</th>\n",
       "      <th>IMUN</th>\n",
       "      <th>INFI</th>\n",
       "      <th>INFN</th>\n",
       "      <th>INFO</th>\n",
       "      <th>INGN</th>\n",
       "      <th>INS</th>\n",
       "      <th>INSM</th>\n",
       "      <th>INST</th>\n",
       "      <th>INTU</th>\n",
       "      <th>INVE</th>\n",
       "      <th>INVO</th>\n",
       "      <th>IONS</th>\n",
       "      <th>IPSI</th>\n",
       "      <th>IPWR</th>\n",
       "      <th>IRWD</th>\n",
       "      <th>ITM.L</th>\n",
       "      <th>ITMSF</th>\n",
       "      <th>IWSY</th>\n",
       "      <th>IZEA</th>\n",
       "      <th>JACK</th>\n",
       "      <th>JAGX</th>\n",
       "      <th>JAY.L</th>\n",
       "      <th>JAZZ</th>\n",
       "      <th>JD</th>\n",
       "      <th>JNJ</th>\n",
       "      <th>JNPR</th>\n",
       "      <th>JOB</th>\n",
       "      <th>KC</th>\n",
       "      <th>KMPH</th>\n",
       "      <th>KOS</th>\n",
       "      <th>KPTI</th>\n",
       "      <th>LBTYA</th>\n",
       "      <th>LC</th>\n",
       "      <th>LCTC</th>\n",
       "      <th>LCTX</th>\n",
       "      <th>LEN</th>\n",
       "      <th>LFVN</th>\n",
       "      <th>LGND</th>\n",
       "      <th>LIFE</th>\n",
       "      <th>LIN</th>\n",
       "      <th>LITB</th>\n",
       "      <th>LIXT</th>\n",
       "      <th>LJPC</th>\n",
       "      <th>LMT</th>\n",
       "      <th>LNVGY</th>\n",
       "      <th>LPSN</th>\n",
       "      <th>LQMT</th>\n",
       "      <th>LRN</th>\n",
       "      <th>LTRX</th>\n",
       "      <th>LWLG</th>\n",
       "      <th>LXRX</th>\n",
       "      <th>MACK</th>\n",
       "      <th>MARA</th>\n",
       "      <th>MARK</th>\n",
       "      <th>MBII</th>\n",
       "      <th>MCK</th>\n",
       "      <th>MCRB</th>\n",
       "      <th>MD</th>\n",
       "      <th>MDGS</th>\n",
       "      <th>MDWD</th>\n",
       "      <th>MEDS</th>\n",
       "      <th>MEIP</th>\n",
       "      <th>MG</th>\n",
       "      <th>MGIC</th>\n",
       "      <th>MGNX</th>\n",
       "      <th>MGP.L</th>\n",
       "      <th>MIME</th>\n",
       "      <th>MIMO</th>\n",
       "      <th>MIR.V</th>\n",
       "      <th>MITK</th>\n",
       "      <th>MLSS</th>\n",
       "      <th>MMM</th>\n",
       "      <th>MMS</th>\n",
       "      <th>MMX.L</th>\n",
       "      <th>MMYT</th>\n",
       "      <th>MNDO</th>\n",
       "      <th>MNKD</th>\n",
       "      <th>MNOV</th>\n",
       "      <th>MNSB</th>\n",
       "      <th>MNTX</th>\n",
       "      <th>MOBQ</th>\n",
       "      <th>MODN</th>\n",
       "      <th>MOGO</th>\n",
       "      <th>MOH</th>\n",
       "      <th>MOR</th>\n",
       "      <th>MORN</th>\n",
       "      <th>MPWR</th>\n",
       "      <th>MRC</th>\n",
       "      <th>MRIN</th>\n",
       "      <th>MRNS</th>\n",
       "      <th>MTACU</th>\n",
       "      <th>MTLS</th>\n",
       "      <th>MTSI</th>\n",
       "      <th>MU</th>\n",
       "      <th>MVBF</th>\n",
       "      <th>MVIS</th>\n",
       "      <th>MXL</th>\n",
       "      <th>MYR=X</th>\n",
       "      <th>MYSZ</th>\n",
       "      <th>NA.TO</th>\n",
       "      <th>NAVB</th>\n",
       "      <th>NBIO</th>\n",
       "      <th>NBIX</th>\n",
       "      <th>NBRV</th>\n",
       "      <th>NBY</th>\n",
       "      <th>NCR</th>\n",
       "      <th>NEE</th>\n",
       "      <th>NEO</th>\n",
       "      <th>NEON</th>\n",
       "      <th>NEPH</th>\n",
       "      <th>NERV</th>\n",
       "      <th>NETE</th>\n",
       "      <th>NEWR</th>\n",
       "      <th>NFLX</th>\n",
       "      <th>NGM</th>\n",
       "      <th>NILE</th>\n",
       "      <th>NKTR</th>\n",
       "      <th>NLST</th>\n",
       "      <th>NNDM</th>\n",
       "      <th>NNVC</th>\n",
       "      <th>NOAH</th>\n",
       "      <th>NOW</th>\n",
       "      <th>NPTN</th>\n",
       "      <th>NQ=F</th>\n",
       "      <th>NRTSF</th>\n",
       "      <th>NSPR</th>\n",
       "      <th>NSTG</th>\n",
       "      <th>NTCXF</th>\n",
       "      <th>NTES</th>\n",
       "      <th>NTGR</th>\n",
       "      <th>NTIP</th>\n",
       "      <th>NTRA</th>\n",
       "      <th>NTWK</th>\n",
       "      <th>NURO</th>\n",
       "      <th>NUVA</th>\n",
       "      <th>NVAX</th>\n",
       "      <th>NVDA</th>\n",
       "      <th>NVRO</th>\n",
       "      <th>NVTA</th>\n",
       "      <th>NWBO</th>\n",
       "      <th>NWSA</th>\n",
       "      <th>NXPI</th>\n",
       "      <th>NYT</th>\n",
       "      <th>OCUL</th>\n",
       "      <th>OGI</th>\n",
       "      <th>OMER</th>\n",
       "      <th>ON</th>\n",
       "      <th>ONCS</th>\n",
       "      <th>ONCY</th>\n",
       "      <th>ONTX</th>\n",
       "      <th>ONVO</th>\n",
       "      <th>OPGN</th>\n",
       "      <th>OPK</th>\n",
       "      <th>OPRA</th>\n",
       "      <th>OPTT</th>\n",
       "      <th>ORMP</th>\n",
       "      <th>OSIS</th>\n",
       "      <th>OSTK</th>\n",
       "      <th>OTEX</th>\n",
       "      <th>OTIC</th>\n",
       "      <th>PACB</th>\n",
       "      <th>PANW</th>\n",
       "      <th>PATH</th>\n",
       "      <th>PBIO</th>\n",
       "      <th>PBPB</th>\n",
       "      <th>PBYI</th>\n",
       "      <th>PCTY</th>\n",
       "      <th>PCYG</th>\n",
       "      <th>PEB</th>\n",
       "      <th>PEN</th>\n",
       "      <th>PEYE</th>\n",
       "      <th>PFM.V</th>\n",
       "      <th>PFSW</th>\n",
       "      <th>PHOT</th>\n",
       "      <th>PIRS</th>\n",
       "      <th>PKT.V</th>\n",
       "      <th>PODD</th>\n",
       "      <th>PPG</th>\n",
       "      <th>PRFT</th>\n",
       "      <th>PRKR</th>\n",
       "      <th>PRLB</th>\n",
       "      <th>PRMW</th>\n",
       "      <th>PRO</th>\n",
       "      <th>PRPH</th>\n",
       "      <th>PRTS</th>\n",
       "      <th>PSTG</th>\n",
       "      <th>PSTI</th>\n",
       "      <th>PTCT</th>\n",
       "      <th>PTK.V</th>\n",
       "      <th>PTN</th>\n",
       "      <th>PURE</th>\n",
       "      <th>PWR</th>\n",
       "      <th>PXH.F</th>\n",
       "      <th>PYR</th>\n",
       "      <th>QLYS</th>\n",
       "      <th>QMCO</th>\n",
       "      <th>QNST</th>\n",
       "      <th>QRHC</th>\n",
       "      <th>QTNT</th>\n",
       "      <th>QTWO</th>\n",
       "      <th>QUAD</th>\n",
       "      <th>QUOT</th>\n",
       "      <th>QURE</th>\n",
       "      <th>RARE</th>\n",
       "      <th>RDCM</th>\n",
       "      <th>RDHL</th>\n",
       "      <th>RDUS</th>\n",
       "      <th>REFG</th>\n",
       "      <th>REGI</th>\n",
       "      <th>REGN</th>\n",
       "      <th>RENN</th>\n",
       "      <th>REPH</th>\n",
       "      <th>RESN</th>\n",
       "      <th>RGEN</th>\n",
       "      <th>RGLS</th>\n",
       "      <th>RGNX</th>\n",
       "      <th>RIBT</th>\n",
       "      <th>RIGL</th>\n",
       "      <th>RKDA</th>\n",
       "      <th>RKFL</th>\n",
       "      <th>RKUNF</th>\n",
       "      <th>RMBS</th>\n",
       "      <th>RMTI</th>\n",
       "      <th>RNG</th>\n",
       "      <th>ROAM</th>\n",
       "      <th>ROXIF</th>\n",
       "      <th>RPD</th>\n",
       "      <th>RPRX</th>\n",
       "      <th>RPX.V</th>\n",
       "      <th>RSASF</th>\n",
       "      <th>RTX</th>\n",
       "      <th>RUN</th>\n",
       "      <th>RVNC</th>\n",
       "      <th>RWLK</th>\n",
       "      <th>RXT</th>\n",
       "      <th>RYU.V</th>\n",
       "      <th>SAGE</th>\n",
       "      <th>SAH</th>\n",
       "      <th>SAIC</th>\n",
       "      <th>SAP</th>\n",
       "      <th>SB</th>\n",
       "      <th>SBRCY</th>\n",
       "      <th>SBUX</th>\n",
       "      <th>SCOR</th>\n",
       "      <th>SCYX</th>\n",
       "      <th>SEAC</th>\n",
       "      <th>SEDG</th>\n",
       "      <th>SFBS</th>\n",
       "      <th>SFT</th>\n",
       "      <th>SFUN</th>\n",
       "      <th>SGEN</th>\n",
       "      <th>SGMO</th>\n",
       "      <th>SGRY</th>\n",
       "      <th>SGTB</th>\n",
       "      <th>SHC</th>\n",
       "      <th>SHOP</th>\n",
       "      <th>SIEN</th>\n",
       "      <th>SIRI</th>\n",
       "      <th>SLCA</th>\n",
       "      <th>SMLR</th>\n",
       "      <th>SMSI</th>\n",
       "      <th>SNAP</th>\n",
       "      <th>SNBR</th>\n",
       "      <th>SNDX</th>\n",
       "      <th>SNWR</th>\n",
       "      <th>SOHU</th>\n",
       "      <th>SPH</th>\n",
       "      <th>SPLK</th>\n",
       "      <th>SPN.V</th>\n",
       "      <th>SPNS</th>\n",
       "      <th>SPX.L</th>\n",
       "      <th>SQ</th>\n",
       "      <th>SQD.V</th>\n",
       "      <th>SQNS</th>\n",
       "      <th>SR</th>\n",
       "      <th>SRE</th>\n",
       "      <th>SREV</th>\n",
       "      <th>SRNA</th>\n",
       "      <th>SRPT</th>\n",
       "      <th>SSKN</th>\n",
       "      <th>SSYS</th>\n",
       "      <th>STE</th>\n",
       "      <th>STL</th>\n",
       "      <th>STT</th>\n",
       "      <th>STX</th>\n",
       "      <th>STXS</th>\n",
       "      <th>SUPN</th>\n",
       "      <th>SWI</th>\n",
       "      <th>SYSX</th>\n",
       "      <th>T</th>\n",
       "      <th>TBPH</th>\n",
       "      <th>TCEHY</th>\n",
       "      <th>TCOM</th>\n",
       "      <th>TCON</th>\n",
       "      <th>TDOC</th>\n",
       "      <th>TDS</th>\n",
       "      <th>TEDU</th>\n",
       "      <th>TER</th>\n",
       "      <th>TGEN</th>\n",
       "      <th>TGTX</th>\n",
       "      <th>TMDI</th>\n",
       "      <th>TNDM</th>\n",
       "      <th>TNXP</th>\n",
       "      <th>TOUR</th>\n",
       "      <th>TRMB</th>\n",
       "      <th>TRMR</th>\n",
       "      <th>TRN</th>\n",
       "      <th>TRU</th>\n",
       "      <th>TRUE</th>\n",
       "      <th>TRUP</th>\n",
       "      <th>TRVN</th>\n",
       "      <th>TSC</th>\n",
       "      <th>TSEM</th>\n",
       "      <th>TSL.L</th>\n",
       "      <th>TSLA</th>\n",
       "      <th>TTEK</th>\n",
       "      <th>TTGT</th>\n",
       "      <th>TTNP</th>\n",
       "      <th>TTOO</th>\n",
       "      <th>TWOU</th>\n",
       "      <th>TWTR</th>\n",
       "      <th>TXMD</th>\n",
       "      <th>TXN</th>\n",
       "      <th>UI</th>\n",
       "      <th>ULBI</th>\n",
       "      <th>ULTA</th>\n",
       "      <th>UNH</th>\n",
       "      <th>USRM</th>\n",
       "      <th>UTHR</th>\n",
       "      <th>UTSI</th>\n",
       "      <th>VAL.L</th>\n",
       "      <th>VBIV</th>\n",
       "      <th>VCRA</th>\n",
       "      <th>VCYT</th>\n",
       "      <th>VECO</th>\n",
       "      <th>VEEV</th>\n",
       "      <th>VET</th>\n",
       "      <th>VFC</th>\n",
       "      <th>VG</th>\n",
       "      <th>VHC</th>\n",
       "      <th>VIEW</th>\n",
       "      <th>VIPS</th>\n",
       "      <th>VKTX</th>\n",
       "      <th>VLX.L</th>\n",
       "      <th>VNDA</th>\n",
       "      <th>VNET</th>\n",
       "      <th>VNRX</th>\n",
       "      <th>VPG</th>\n",
       "      <th>VPT.V</th>\n",
       "      <th>VRCA</th>\n",
       "      <th>VRNS</th>\n",
       "      <th>VRTX</th>\n",
       "      <th>VSAT</th>\n",
       "      <th>VSL</th>\n",
       "      <th>VSTM</th>\n",
       "      <th>VTGN</th>\n",
       "      <th>VTNR</th>\n",
       "      <th>VUZI</th>\n",
       "      <th>VYGR</th>\n",
       "      <th>VZ</th>\n",
       "      <th>W</th>\n",
       "      <th>WB</th>\n",
       "      <th>WDAY</th>\n",
       "      <th>WDC</th>\n",
       "      <th>WHLR</th>\n",
       "      <th>WIX</th>\n",
       "      <th>WK</th>\n",
       "      <th>WOOF</th>\n",
       "      <th>WSM</th>\n",
       "      <th>WVE</th>\n",
       "      <th>XENE</th>\n",
       "      <th>XENT</th>\n",
       "      <th>XL</th>\n",
       "      <th>XLRN</th>\n",
       "      <th>XNCR</th>\n",
       "      <th>XNET</th>\n",
       "      <th>XRX</th>\n",
       "      <th>XTNT</th>\n",
       "      <th>XXII</th>\n",
       "      <th>YELP</th>\n",
       "      <th>YGYI</th>\n",
       "      <th>YY</th>\n",
       "      <th>Z</th>\n",
       "      <th>ZBRA</th>\n",
       "      <th>ZEN</th>\n",
       "      <th>ZGNX</th>\n",
       "      <th>ZION</th>\n",
       "      <th>ZIOP</th>\n",
       "      <th>ZM</th>\n",
       "      <th>ZNGA</th>\n",
       "      <th>ZSAN</th>\n",
       "      <th>ZYNE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-08-02</td>\n",
       "      <td>6.05</td>\n",
       "      <td>7.64</td>\n",
       "      <td>145.520004</td>\n",
       "      <td>36.430000</td>\n",
       "      <td>3.19</td>\n",
       "      <td>120.919998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>8.83</td>\n",
       "      <td>37.570000</td>\n",
       "      <td>38.560001</td>\n",
       "      <td>3.72</td>\n",
       "      <td>14.62</td>\n",
       "      <td>15.08</td>\n",
       "      <td>1.21</td>\n",
       "      <td>5.75</td>\n",
       "      <td>0.60</td>\n",
       "      <td>3.58</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.11</td>\n",
       "      <td>5.00</td>\n",
       "      <td>209.449997</td>\n",
       "      <td>85.110001</td>\n",
       "      <td>9.080</td>\n",
       "      <td>0.440</td>\n",
       "      <td>5.73</td>\n",
       "      <td>5.07</td>\n",
       "      <td>15.87</td>\n",
       "      <td>13.63</td>\n",
       "      <td>6.91</td>\n",
       "      <td>5.29</td>\n",
       "      <td>48.189999</td>\n",
       "      <td>1.22</td>\n",
       "      <td>3.64</td>\n",
       "      <td>26.85</td>\n",
       "      <td>2.60</td>\n",
       "      <td>1.64</td>\n",
       "      <td>9.02</td>\n",
       "      <td>700.000000</td>\n",
       "      <td>8.89</td>\n",
       "      <td>129.759995</td>\n",
       "      <td>177.960007</td>\n",
       "      <td>8.41</td>\n",
       "      <td>84.330002</td>\n",
       "      <td>97.769997</td>\n",
       "      <td>1.680</td>\n",
       "      <td>239.789993</td>\n",
       "      <td>0.136</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.36</td>\n",
       "      <td>4.22</td>\n",
       "      <td>14.46</td>\n",
       "      <td>13.87</td>\n",
       "      <td>3331.479980</td>\n",
       "      <td>9.75</td>\n",
       "      <td>11.44</td>\n",
       "      <td>33.369999</td>\n",
       "      <td>2.26</td>\n",
       "      <td>26.00</td>\n",
       "      <td>5.43</td>\n",
       "      <td>140.850006</td>\n",
       "      <td>4.87</td>\n",
       "      <td>1.68</td>\n",
       "      <td>308.760010</td>\n",
       "      <td>15.08</td>\n",
       "      <td>60.490002</td>\n",
       "      <td>12.96</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.010002</td>\n",
       "      <td>120.339996</td>\n",
       "      <td>36.849998</td>\n",
       "      <td>0.0177</td>\n",
       "      <td>9.40</td>\n",
       "      <td>14.88</td>\n",
       "      <td>13.19</td>\n",
       "      <td>1.96</td>\n",
       "      <td>9.86</td>\n",
       "      <td>1.55</td>\n",
       "      <td>7.70</td>\n",
       "      <td>6.91</td>\n",
       "      <td>2.91</td>\n",
       "      <td>12.92</td>\n",
       "      <td>84.250000</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>0.337</td>\n",
       "      <td>42.959999</td>\n",
       "      <td>5.25</td>\n",
       "      <td>0.965</td>\n",
       "      <td>7.24</td>\n",
       "      <td>20.379999</td>\n",
       "      <td>50.320000</td>\n",
       "      <td>145.649994</td>\n",
       "      <td>582.599976</td>\n",
       "      <td>200.089996</td>\n",
       "      <td>10.10</td>\n",
       "      <td>4.09</td>\n",
       "      <td>11.52</td>\n",
       "      <td>16.100000</td>\n",
       "      <td>3.83</td>\n",
       "      <td>0.507</td>\n",
       "      <td>10.71</td>\n",
       "      <td>213.5</td>\n",
       "      <td>166.610001</td>\n",
       "      <td>4.10</td>\n",
       "      <td>0.57</td>\n",
       "      <td>51.279999</td>\n",
       "      <td>3.09</td>\n",
       "      <td>15.84</td>\n",
       "      <td>5.92</td>\n",
       "      <td>3.24</td>\n",
       "      <td>16.580311</td>\n",
       "      <td>68.019997</td>\n",
       "      <td>8.19</td>\n",
       "      <td>13.06</td>\n",
       "      <td>9.53</td>\n",
       "      <td>3.94</td>\n",
       "      <td>24.400000</td>\n",
       "      <td>86.980003</td>\n",
       "      <td>6.50</td>\n",
       "      <td>173.389999</td>\n",
       "      <td>0.560</td>\n",
       "      <td>11.70</td>\n",
       "      <td>2.88</td>\n",
       "      <td>9.00</td>\n",
       "      <td>0.0012</td>\n",
       "      <td>25.459999</td>\n",
       "      <td>59.570000</td>\n",
       "      <td>1.99</td>\n",
       "      <td>17.860001</td>\n",
       "      <td>45.459999</td>\n",
       "      <td>12.08</td>\n",
       "      <td>2.09</td>\n",
       "      <td>12.15</td>\n",
       "      <td>196.789993</td>\n",
       "      <td>82.250000</td>\n",
       "      <td>3.98</td>\n",
       "      <td>66.457146</td>\n",
       "      <td>NaN</td>\n",
       "      <td>77.279999</td>\n",
       "      <td>14.89</td>\n",
       "      <td>82.250000</td>\n",
       "      <td>16.700001</td>\n",
       "      <td>1.61</td>\n",
       "      <td>183.669998</td>\n",
       "      <td>8.92</td>\n",
       "      <td>21.320000</td>\n",
       "      <td>5.11</td>\n",
       "      <td>18.650000</td>\n",
       "      <td>1.57</td>\n",
       "      <td>1.11</td>\n",
       "      <td>89.470001</td>\n",
       "      <td>125.910004</td>\n",
       "      <td>13.10</td>\n",
       "      <td>749.869995</td>\n",
       "      <td>1.70</td>\n",
       "      <td>43.700001</td>\n",
       "      <td>1.12</td>\n",
       "      <td>4.92</td>\n",
       "      <td>58.470001</td>\n",
       "      <td>6.86</td>\n",
       "      <td>70.309998</td>\n",
       "      <td>3.42</td>\n",
       "      <td>1.59</td>\n",
       "      <td>83.449997</td>\n",
       "      <td>24.879999</td>\n",
       "      <td>24.959999</td>\n",
       "      <td>20.459999</td>\n",
       "      <td>5.39</td>\n",
       "      <td>21.020000</td>\n",
       "      <td>8.53</td>\n",
       "      <td>7.72</td>\n",
       "      <td>405.600006</td>\n",
       "      <td>240.860001</td>\n",
       "      <td>6.01</td>\n",
       "      <td>4.10</td>\n",
       "      <td>136.639999</td>\n",
       "      <td>28.980000</td>\n",
       "      <td>25.680000</td>\n",
       "      <td>38.680000</td>\n",
       "      <td>0.0119</td>\n",
       "      <td>26.950001</td>\n",
       "      <td>10.50</td>\n",
       "      <td>55.450001</td>\n",
       "      <td>44.799999</td>\n",
       "      <td>38.240002</td>\n",
       "      <td>39.869999</td>\n",
       "      <td>2.22</td>\n",
       "      <td>32.090000</td>\n",
       "      <td>2.73</td>\n",
       "      <td>5.61</td>\n",
       "      <td>49.910000</td>\n",
       "      <td>0.08</td>\n",
       "      <td>8.15</td>\n",
       "      <td>9.865</td>\n",
       "      <td>1020.0</td>\n",
       "      <td>6.06</td>\n",
       "      <td>142.369995</td>\n",
       "      <td>5.21</td>\n",
       "      <td>1.54</td>\n",
       "      <td>0.61</td>\n",
       "      <td>28.77</td>\n",
       "      <td>0.75</td>\n",
       "      <td>74.650002</td>\n",
       "      <td>27.510000</td>\n",
       "      <td>1.61</td>\n",
       "      <td>143.039993</td>\n",
       "      <td>0.0457</td>\n",
       "      <td>82.430000</td>\n",
       "      <td>105.139999</td>\n",
       "      <td>61.029999</td>\n",
       "      <td>14.77</td>\n",
       "      <td>36.939999</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.40</td>\n",
       "      <td>3.590</td>\n",
       "      <td>511.350006</td>\n",
       "      <td>3.46</td>\n",
       "      <td>1.35</td>\n",
       "      <td>68.629997</td>\n",
       "      <td>30.160000</td>\n",
       "      <td>63.720001</td>\n",
       "      <td>30.590000</td>\n",
       "      <td>23.170000</td>\n",
       "      <td>0.300</td>\n",
       "      <td>3.85</td>\n",
       "      <td>258.489990</td>\n",
       "      <td>25.969999</td>\n",
       "      <td>47.360001</td>\n",
       "      <td>4.94</td>\n",
       "      <td>0.05</td>\n",
       "      <td>8.63</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.070000</td>\n",
       "      <td>183.110001</td>\n",
       "      <td>42.549999</td>\n",
       "      <td>74.900002</td>\n",
       "      <td>558.400024</td>\n",
       "      <td>38.580002</td>\n",
       "      <td>0.01133</td>\n",
       "      <td>6.52</td>\n",
       "      <td>818.989990</td>\n",
       "      <td>93.190002</td>\n",
       "      <td>14.99</td>\n",
       "      <td>0.003200</td>\n",
       "      <td>0.0013</td>\n",
       "      <td>188.889999</td>\n",
       "      <td>6.05</td>\n",
       "      <td>22.639999</td>\n",
       "      <td>1.14</td>\n",
       "      <td>108.400002</td>\n",
       "      <td>2.41</td>\n",
       "      <td>85.080002</td>\n",
       "      <td>351.950012</td>\n",
       "      <td>6.33</td>\n",
       "      <td>1.38</td>\n",
       "      <td>194.039993</td>\n",
       "      <td>201.889999</td>\n",
       "      <td>6.91</td>\n",
       "      <td>17.830000</td>\n",
       "      <td>253.979996</td>\n",
       "      <td>6.25</td>\n",
       "      <td>38.360001</td>\n",
       "      <td>9.40</td>\n",
       "      <td>37.889999</td>\n",
       "      <td>2.63</td>\n",
       "      <td>88.269997</td>\n",
       "      <td>284.619995</td>\n",
       "      <td>47.400002</td>\n",
       "      <td>3.17</td>\n",
       "      <td>6.26</td>\n",
       "      <td>0.05</td>\n",
       "      <td>27.750000</td>\n",
       "      <td>5.10</td>\n",
       "      <td>57.299999</td>\n",
       "      <td>195.830002</td>\n",
       "      <td>45.639999</td>\n",
       "      <td>100.599998</td>\n",
       "      <td>3.41</td>\n",
       "      <td>8.80</td>\n",
       "      <td>1.25</td>\n",
       "      <td>5.88</td>\n",
       "      <td>2.76</td>\n",
       "      <td>51.009998</td>\n",
       "      <td>235.399994</td>\n",
       "      <td>61.459999</td>\n",
       "      <td>2.01</td>\n",
       "      <td>82.669998</td>\n",
       "      <td>2.66</td>\n",
       "      <td>0.228</td>\n",
       "      <td>10.29</td>\n",
       "      <td>2719.790039</td>\n",
       "      <td>4.38</td>\n",
       "      <td>10.00</td>\n",
       "      <td>63.913044</td>\n",
       "      <td>36.130001</td>\n",
       "      <td>18.010000</td>\n",
       "      <td>2.54</td>\n",
       "      <td>0.550</td>\n",
       "      <td>6.86</td>\n",
       "      <td>0.05</td>\n",
       "      <td>40.549999</td>\n",
       "      <td>35.169998</td>\n",
       "      <td>102.290001</td>\n",
       "      <td>0.01741</td>\n",
       "      <td>0.2114</td>\n",
       "      <td>15.720000</td>\n",
       "      <td>75.830002</td>\n",
       "      <td>232.419998</td>\n",
       "      <td>74.169998</td>\n",
       "      <td>17.48</td>\n",
       "      <td>250.130005</td>\n",
       "      <td>29.58</td>\n",
       "      <td>0.89</td>\n",
       "      <td>6.33</td>\n",
       "      <td>6.32</td>\n",
       "      <td>596.000000</td>\n",
       "      <td>99.779999</td>\n",
       "      <td>69.339996</td>\n",
       "      <td>14.14</td>\n",
       "      <td>119.430000</td>\n",
       "      <td>0.0011</td>\n",
       "      <td>17.350000</td>\n",
       "      <td>9.07</td>\n",
       "      <td>1.05</td>\n",
       "      <td>0.441</td>\n",
       "      <td>0.51</td>\n",
       "      <td>5.72</td>\n",
       "      <td>1.70</td>\n",
       "      <td>8.96</td>\n",
       "      <td>0.0031</td>\n",
       "      <td>3.98</td>\n",
       "      <td>2.93</td>\n",
       "      <td>9.86</td>\n",
       "      <td>117.980003</td>\n",
       "      <td>78.680000</td>\n",
       "      <td>32.939999</td>\n",
       "      <td>24.129999</td>\n",
       "      <td>20.080000</td>\n",
       "      <td>527.510010</td>\n",
       "      <td>15.960000</td>\n",
       "      <td>4.40</td>\n",
       "      <td>37.630001</td>\n",
       "      <td>0.074</td>\n",
       "      <td>15.090000</td>\n",
       "      <td>13.27</td>\n",
       "      <td>420.000000</td>\n",
       "      <td>0.94</td>\n",
       "      <td>0.05</td>\n",
       "      <td>2.27</td>\n",
       "      <td>107.639999</td>\n",
       "      <td>4.35</td>\n",
       "      <td>9.300</td>\n",
       "      <td>170.710007</td>\n",
       "      <td>71.489998</td>\n",
       "      <td>172.270004</td>\n",
       "      <td>28.010000</td>\n",
       "      <td>0.46</td>\n",
       "      <td>31.059999</td>\n",
       "      <td>10.30</td>\n",
       "      <td>2.24</td>\n",
       "      <td>8.42</td>\n",
       "      <td>26.690001</td>\n",
       "      <td>25.809999</td>\n",
       "      <td>3.40</td>\n",
       "      <td>2.59</td>\n",
       "      <td>105.849998</td>\n",
       "      <td>8.00</td>\n",
       "      <td>110.949997</td>\n",
       "      <td>4.67</td>\n",
       "      <td>300.220001</td>\n",
       "      <td>1.40</td>\n",
       "      <td>2.80</td>\n",
       "      <td>3.61</td>\n",
       "      <td>368.299988</td>\n",
       "      <td>19.530001</td>\n",
       "      <td>63.910000</td>\n",
       "      <td>0.10</td>\n",
       "      <td>30.709999</td>\n",
       "      <td>5.15</td>\n",
       "      <td>7.53</td>\n",
       "      <td>3.65</td>\n",
       "      <td>5.32</td>\n",
       "      <td>28.230000</td>\n",
       "      <td>1.32</td>\n",
       "      <td>1.26</td>\n",
       "      <td>203.570007</td>\n",
       "      <td>7.03</td>\n",
       "      <td>29.690001</td>\n",
       "      <td>1.65</td>\n",
       "      <td>3.87</td>\n",
       "      <td>5.19</td>\n",
       "      <td>2.61</td>\n",
       "      <td>10.32</td>\n",
       "      <td>17.379999</td>\n",
       "      <td>25.299999</td>\n",
       "      <td>173.0</td>\n",
       "      <td>55.119999</td>\n",
       "      <td>10.070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.580000</td>\n",
       "      <td>2.02</td>\n",
       "      <td>197.520004</td>\n",
       "      <td>88.059998</td>\n",
       "      <td>7.3</td>\n",
       "      <td>28.150000</td>\n",
       "      <td>3.31</td>\n",
       "      <td>4.03</td>\n",
       "      <td>3.67</td>\n",
       "      <td>23.910000</td>\n",
       "      <td>7.91</td>\n",
       "      <td>7.7</td>\n",
       "      <td>31.790001</td>\n",
       "      <td>5.56</td>\n",
       "      <td>274.250000</td>\n",
       "      <td>13.97</td>\n",
       "      <td>257.980011</td>\n",
       "      <td>454.459991</td>\n",
       "      <td>8.55</td>\n",
       "      <td>7.13</td>\n",
       "      <td>15.04</td>\n",
       "      <td>10.00</td>\n",
       "      <td>22.360001</td>\n",
       "      <td>61.520000</td>\n",
       "      <td>77.639999</td>\n",
       "      <td>40.330002</td>\n",
       "      <td>13.58</td>\n",
       "      <td>48.470001</td>\n",
       "      <td>4.2190</td>\n",
       "      <td>1.21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.64</td>\n",
       "      <td>0.0985</td>\n",
       "      <td>95.910004</td>\n",
       "      <td>1.159</td>\n",
       "      <td>0.66</td>\n",
       "      <td>44.369999</td>\n",
       "      <td>78.809998</td>\n",
       "      <td>46.080002</td>\n",
       "      <td>5.36</td>\n",
       "      <td>8.80</td>\n",
       "      <td>1.84</td>\n",
       "      <td>12.12</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>515.150024</td>\n",
       "      <td>20.990000</td>\n",
       "      <td>2.34</td>\n",
       "      <td>15.96</td>\n",
       "      <td>8.60</td>\n",
       "      <td>6.30</td>\n",
       "      <td>3.93</td>\n",
       "      <td>39.799999</td>\n",
       "      <td>584.669983</td>\n",
       "      <td>9.13</td>\n",
       "      <td>14952.75</td>\n",
       "      <td>0.0015</td>\n",
       "      <td>3.78</td>\n",
       "      <td>61.459999</td>\n",
       "      <td>0.0072</td>\n",
       "      <td>105.040001</td>\n",
       "      <td>33.880001</td>\n",
       "      <td>3.08</td>\n",
       "      <td>112.330002</td>\n",
       "      <td>4.56</td>\n",
       "      <td>13.12</td>\n",
       "      <td>62.799999</td>\n",
       "      <td>182.720001</td>\n",
       "      <td>197.500000</td>\n",
       "      <td>155.130005</td>\n",
       "      <td>28.290001</td>\n",
       "      <td>1.17</td>\n",
       "      <td>24.740000</td>\n",
       "      <td>208.979996</td>\n",
       "      <td>43.459999</td>\n",
       "      <td>11.26</td>\n",
       "      <td>2.59</td>\n",
       "      <td>14.98</td>\n",
       "      <td>43.639999</td>\n",
       "      <td>2.22</td>\n",
       "      <td>2.27</td>\n",
       "      <td>5.19</td>\n",
       "      <td>7.95</td>\n",
       "      <td>2.62</td>\n",
       "      <td>3.55</td>\n",
       "      <td>9.79</td>\n",
       "      <td>1.91</td>\n",
       "      <td>14.94</td>\n",
       "      <td>98.080002</td>\n",
       "      <td>67.750000</td>\n",
       "      <td>51.880001</td>\n",
       "      <td>1.765</td>\n",
       "      <td>31.240000</td>\n",
       "      <td>400.320007</td>\n",
       "      <td>59.669998</td>\n",
       "      <td>2.82</td>\n",
       "      <td>6.86</td>\n",
       "      <td>7.67</td>\n",
       "      <td>203.559998</td>\n",
       "      <td>5.53</td>\n",
       "      <td>21.709999</td>\n",
       "      <td>265.290009</td>\n",
       "      <td>1.700000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.19</td>\n",
       "      <td>0.054</td>\n",
       "      <td>3.52</td>\n",
       "      <td>NaN</td>\n",
       "      <td>278.700012</td>\n",
       "      <td>163.300003</td>\n",
       "      <td>95.370003</td>\n",
       "      <td>1.43</td>\n",
       "      <td>79.379997</td>\n",
       "      <td>16.450001</td>\n",
       "      <td>43.369999</td>\n",
       "      <td>7.26</td>\n",
       "      <td>17.290001</td>\n",
       "      <td>20.040001</td>\n",
       "      <td>3.33</td>\n",
       "      <td>38.680000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.52</td>\n",
       "      <td>0.40</td>\n",
       "      <td>89.099998</td>\n",
       "      <td>0.696</td>\n",
       "      <td>3.89</td>\n",
       "      <td>102.830002</td>\n",
       "      <td>6.29</td>\n",
       "      <td>18.150000</td>\n",
       "      <td>6.23</td>\n",
       "      <td>3.38</td>\n",
       "      <td>100.599998</td>\n",
       "      <td>3.48</td>\n",
       "      <td>10.65</td>\n",
       "      <td>28.950001</td>\n",
       "      <td>80.839996</td>\n",
       "      <td>11.20</td>\n",
       "      <td>6.55</td>\n",
       "      <td>15.04</td>\n",
       "      <td>0.0098</td>\n",
       "      <td>58.759998</td>\n",
       "      <td>577.130005</td>\n",
       "      <td>10.60</td>\n",
       "      <td>1.86</td>\n",
       "      <td>3.05</td>\n",
       "      <td>247.869995</td>\n",
       "      <td>0.77</td>\n",
       "      <td>31.959999</td>\n",
       "      <td>1.01</td>\n",
       "      <td>4.02</td>\n",
       "      <td>2.440</td>\n",
       "      <td>1.16</td>\n",
       "      <td>11.410</td>\n",
       "      <td>23.52</td>\n",
       "      <td>0.74</td>\n",
       "      <td>270.369995</td>\n",
       "      <td>24.989000</td>\n",
       "      <td>0.015900</td>\n",
       "      <td>115.599998</td>\n",
       "      <td>37.209999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.08</td>\n",
       "      <td>86.610001</td>\n",
       "      <td>51.200001</td>\n",
       "      <td>29.280001</td>\n",
       "      <td>1.47</td>\n",
       "      <td>17.840000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.369999</td>\n",
       "      <td>56.169998</td>\n",
       "      <td>87.099998</td>\n",
       "      <td>143.320007</td>\n",
       "      <td>3.44</td>\n",
       "      <td>16.770000</td>\n",
       "      <td>120.370003</td>\n",
       "      <td>4.05</td>\n",
       "      <td>6.87</td>\n",
       "      <td>1.10</td>\n",
       "      <td>257.720001</td>\n",
       "      <td>70.720001</td>\n",
       "      <td>8.56</td>\n",
       "      <td>9.76</td>\n",
       "      <td>154.240005</td>\n",
       "      <td>9.63</td>\n",
       "      <td>54.540001</td>\n",
       "      <td>0.0359</td>\n",
       "      <td>23.330000</td>\n",
       "      <td>1538.670044</td>\n",
       "      <td>7.99</td>\n",
       "      <td>6.49</td>\n",
       "      <td>9.84</td>\n",
       "      <td>118.199997</td>\n",
       "      <td>5.68</td>\n",
       "      <td>73.500000</td>\n",
       "      <td>99.230003</td>\n",
       "      <td>14.98</td>\n",
       "      <td>0.009</td>\n",
       "      <td>20.500000</td>\n",
       "      <td>15.90</td>\n",
       "      <td>141.690002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.180000</td>\n",
       "      <td>15195.0</td>\n",
       "      <td>272.380005</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.43</td>\n",
       "      <td>71.650002</td>\n",
       "      <td>131.250000</td>\n",
       "      <td>1.58</td>\n",
       "      <td>0.073</td>\n",
       "      <td>68.589996</td>\n",
       "      <td>1.46</td>\n",
       "      <td>19.879999</td>\n",
       "      <td>218.330002</td>\n",
       "      <td>21.660000</td>\n",
       "      <td>87.010002</td>\n",
       "      <td>88.500000</td>\n",
       "      <td>9.13</td>\n",
       "      <td>26.740000</td>\n",
       "      <td>22.070000</td>\n",
       "      <td>2.550</td>\n",
       "      <td>28.110001</td>\n",
       "      <td>13.82</td>\n",
       "      <td>61.320000</td>\n",
       "      <td>25.99</td>\n",
       "      <td>3.78</td>\n",
       "      <td>150.059998</td>\n",
       "      <td>20.160000</td>\n",
       "      <td>9.60</td>\n",
       "      <td>127.019997</td>\n",
       "      <td>1.951</td>\n",
       "      <td>27.420000</td>\n",
       "      <td>1.71</td>\n",
       "      <td>106.620003</td>\n",
       "      <td>0.72</td>\n",
       "      <td>1.900</td>\n",
       "      <td>85.309998</td>\n",
       "      <td>22.360001</td>\n",
       "      <td>26.980000</td>\n",
       "      <td>120.500000</td>\n",
       "      <td>5.32</td>\n",
       "      <td>114.089996</td>\n",
       "      <td>1.36</td>\n",
       "      <td>20.230000</td>\n",
       "      <td>29.320000</td>\n",
       "      <td>97.199997</td>\n",
       "      <td>709.669983</td>\n",
       "      <td>131.759995</td>\n",
       "      <td>73.050003</td>\n",
       "      <td>2.26</td>\n",
       "      <td>1.07</td>\n",
       "      <td>44.660000</td>\n",
       "      <td>69.129997</td>\n",
       "      <td>1.01</td>\n",
       "      <td>190.720001</td>\n",
       "      <td>310.079987</td>\n",
       "      <td>7.97</td>\n",
       "      <td>336.760010</td>\n",
       "      <td>415.570007</td>\n",
       "      <td>0.013</td>\n",
       "      <td>179.860001</td>\n",
       "      <td>1.40</td>\n",
       "      <td>18.25</td>\n",
       "      <td>3.03</td>\n",
       "      <td>43.220001</td>\n",
       "      <td>43.939999</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>332.779999</td>\n",
       "      <td>7.05</td>\n",
       "      <td>81.830002</td>\n",
       "      <td>14.51</td>\n",
       "      <td>4.16</td>\n",
       "      <td>6.18</td>\n",
       "      <td>16.900000</td>\n",
       "      <td>6.06</td>\n",
       "      <td>345.0</td>\n",
       "      <td>16.91</td>\n",
       "      <td>17.750000</td>\n",
       "      <td>3.35</td>\n",
       "      <td>36.180000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.87</td>\n",
       "      <td>60.990002</td>\n",
       "      <td>198.320007</td>\n",
       "      <td>48.090000</td>\n",
       "      <td>43.379002</td>\n",
       "      <td>3.21</td>\n",
       "      <td>2.75</td>\n",
       "      <td>8.92</td>\n",
       "      <td>14.79</td>\n",
       "      <td>3.32</td>\n",
       "      <td>55.759998</td>\n",
       "      <td>242.369995</td>\n",
       "      <td>57.500000</td>\n",
       "      <td>233.649994</td>\n",
       "      <td>64.690002</td>\n",
       "      <td>2.69</td>\n",
       "      <td>298.660004</td>\n",
       "      <td>129.070007</td>\n",
       "      <td>20.230000</td>\n",
       "      <td>154.830002</td>\n",
       "      <td>5.61</td>\n",
       "      <td>17.58</td>\n",
       "      <td>24.230000</td>\n",
       "      <td>6.88</td>\n",
       "      <td>124.720001</td>\n",
       "      <td>30.870001</td>\n",
       "      <td>3.71</td>\n",
       "      <td>24.080000</td>\n",
       "      <td>1.30</td>\n",
       "      <td>3.18</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>0.20509</td>\n",
       "      <td>52.959999</td>\n",
       "      <td>107.519997</td>\n",
       "      <td>550.969971</td>\n",
       "      <td>129.350006</td>\n",
       "      <td>16.320000</td>\n",
       "      <td>51.630001</td>\n",
       "      <td>2.30</td>\n",
       "      <td>378.959991</td>\n",
       "      <td>10.06</td>\n",
       "      <td>0.751</td>\n",
       "      <td>4.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-08-03</td>\n",
       "      <td>6.01</td>\n",
       "      <td>7.62</td>\n",
       "      <td>147.360001</td>\n",
       "      <td>37.099998</td>\n",
       "      <td>3.02</td>\n",
       "      <td>122.120003</td>\n",
       "      <td>24.320000</td>\n",
       "      <td>21.629999</td>\n",
       "      <td>8.92</td>\n",
       "      <td>37.779999</td>\n",
       "      <td>39.070000</td>\n",
       "      <td>3.87</td>\n",
       "      <td>14.52</td>\n",
       "      <td>14.91</td>\n",
       "      <td>1.20</td>\n",
       "      <td>5.64</td>\n",
       "      <td>0.53</td>\n",
       "      <td>3.48</td>\n",
       "      <td>1.58</td>\n",
       "      <td>1.06</td>\n",
       "      <td>5.29</td>\n",
       "      <td>213.440002</td>\n",
       "      <td>94.699997</td>\n",
       "      <td>9.825</td>\n",
       "      <td>0.429</td>\n",
       "      <td>5.67</td>\n",
       "      <td>4.83</td>\n",
       "      <td>15.25</td>\n",
       "      <td>13.70</td>\n",
       "      <td>6.89</td>\n",
       "      <td>5.45</td>\n",
       "      <td>47.119999</td>\n",
       "      <td>1.17</td>\n",
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       "      <td>1.63</td>\n",
       "      <td>8.95</td>\n",
       "      <td>701.340027</td>\n",
       "      <td>8.57</td>\n",
       "      <td>130.710007</td>\n",
       "      <td>178.809998</td>\n",
       "      <td>8.40</td>\n",
       "      <td>85.989998</td>\n",
       "      <td>97.059998</td>\n",
       "      <td>1.640</td>\n",
       "      <td>244.080002</td>\n",
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       "      <td>3366.239990</td>\n",
       "      <td>9.70</td>\n",
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       "      <td>16.620001</td>\n",
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       "      <td>1.64</td>\n",
       "      <td>1.10</td>\n",
       "      <td>88.459999</td>\n",
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       "      <td>41.599998</td>\n",
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       "      <td>0.51</td>\n",
       "      <td>0.40</td>\n",
       "      <td>91.180000</td>\n",
       "      <td>0.680</td>\n",
       "      <td>3.66</td>\n",
       "      <td>104.279999</td>\n",
       "      <td>6.33</td>\n",
       "      <td>17.680000</td>\n",
       "      <td>5.97</td>\n",
       "      <td>3.43</td>\n",
       "      <td>98.410004</td>\n",
       "      <td>3.59</td>\n",
       "      <td>10.75</td>\n",
       "      <td>29.360001</td>\n",
       "      <td>83.769997</td>\n",
       "      <td>10.96</td>\n",
       "      <td>6.63</td>\n",
       "      <td>14.60</td>\n",
       "      <td>0.0070</td>\n",
       "      <td>59.320000</td>\n",
       "      <td>586.510010</td>\n",
       "      <td>9.82</td>\n",
       "      <td>1.96</td>\n",
       "      <td>2.86</td>\n",
       "      <td>249.070007</td>\n",
       "      <td>0.75</td>\n",
       "      <td>32.049999</td>\n",
       "      <td>0.97</td>\n",
       "      <td>3.78</td>\n",
       "      <td>2.415</td>\n",
       "      <td>1.15</td>\n",
       "      <td>11.360</td>\n",
       "      <td>24.49</td>\n",
       "      <td>0.74</td>\n",
       "      <td>269.899994</td>\n",
       "      <td>25.150000</td>\n",
       "      <td>0.013763</td>\n",
       "      <td>115.360001</td>\n",
       "      <td>37.680000</td>\n",
       "      <td>0.50</td>\n",
       "      <td>1.05</td>\n",
       "      <td>87.970001</td>\n",
       "      <td>53.590000</td>\n",
       "      <td>30.150000</td>\n",
       "      <td>1.43</td>\n",
       "      <td>17.260000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>41.759998</td>\n",
       "      <td>54.570000</td>\n",
       "      <td>83.690002</td>\n",
       "      <td>145.539993</td>\n",
       "      <td>3.41</td>\n",
       "      <td>16.950001</td>\n",
       "      <td>119.129997</td>\n",
       "      <td>3.94</td>\n",
       "      <td>6.91</td>\n",
       "      <td>1.07</td>\n",
       "      <td>299.809998</td>\n",
       "      <td>71.660004</td>\n",
       "      <td>8.28</td>\n",
       "      <td>9.94</td>\n",
       "      <td>158.190002</td>\n",
       "      <td>9.58</td>\n",
       "      <td>56.419998</td>\n",
       "      <td>0.0500</td>\n",
       "      <td>23.190001</td>\n",
       "      <td>1522.560059</td>\n",
       "      <td>7.72</td>\n",
       "      <td>6.45</td>\n",
       "      <td>10.35</td>\n",
       "      <td>114.800003</td>\n",
       "      <td>5.20</td>\n",
       "      <td>73.379997</td>\n",
       "      <td>97.500000</td>\n",
       "      <td>14.41</td>\n",
       "      <td>0.007</td>\n",
       "      <td>19.719999</td>\n",
       "      <td>15.80</td>\n",
       "      <td>140.600006</td>\n",
       "      <td>0.110</td>\n",
       "      <td>25.080000</td>\n",
       "      <td>15235.0</td>\n",
       "      <td>269.489990</td>\n",
       "      <td>0.17</td>\n",
       "      <td>5.51</td>\n",
       "      <td>73.150002</td>\n",
       "      <td>131.979996</td>\n",
       "      <td>1.58</td>\n",
       "      <td>0.077</td>\n",
       "      <td>69.040001</td>\n",
       "      <td>1.38</td>\n",
       "      <td>19.639999</td>\n",
       "      <td>218.940002</td>\n",
       "      <td>22.260000</td>\n",
       "      <td>88.019997</td>\n",
       "      <td>90.419998</td>\n",
       "      <td>8.99</td>\n",
       "      <td>26.889999</td>\n",
       "      <td>22.639999</td>\n",
       "      <td>2.700</td>\n",
       "      <td>28.190001</td>\n",
       "      <td>13.63</td>\n",
       "      <td>56.830002</td>\n",
       "      <td>24.59</td>\n",
       "      <td>3.40</td>\n",
       "      <td>151.410004</td>\n",
       "      <td>20.270000</td>\n",
       "      <td>7.65</td>\n",
       "      <td>126.739998</td>\n",
       "      <td>1.940</td>\n",
       "      <td>25.469999</td>\n",
       "      <td>1.64</td>\n",
       "      <td>104.989998</td>\n",
       "      <td>0.69</td>\n",
       "      <td>1.855</td>\n",
       "      <td>85.809998</td>\n",
       "      <td>21.760000</td>\n",
       "      <td>27.889999</td>\n",
       "      <td>120.690002</td>\n",
       "      <td>5.27</td>\n",
       "      <td>115.930000</td>\n",
       "      <td>1.36</td>\n",
       "      <td>20.160000</td>\n",
       "      <td>29.500000</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>709.739990</td>\n",
       "      <td>133.759995</td>\n",
       "      <td>72.690002</td>\n",
       "      <td>2.31</td>\n",
       "      <td>1.06</td>\n",
       "      <td>42.680000</td>\n",
       "      <td>68.629997</td>\n",
       "      <td>0.98</td>\n",
       "      <td>189.339996</td>\n",
       "      <td>317.320007</td>\n",
       "      <td>8.06</td>\n",
       "      <td>346.660004</td>\n",
       "      <td>421.899994</td>\n",
       "      <td>0.013</td>\n",
       "      <td>180.660004</td>\n",
       "      <td>1.40</td>\n",
       "      <td>18.25</td>\n",
       "      <td>3.10</td>\n",
       "      <td>44.230000</td>\n",
       "      <td>44.599998</td>\n",
       "      <td>23.209999</td>\n",
       "      <td>338.049988</td>\n",
       "      <td>7.33</td>\n",
       "      <td>81.570000</td>\n",
       "      <td>14.48</td>\n",
       "      <td>3.98</td>\n",
       "      <td>6.08</td>\n",
       "      <td>17.370001</td>\n",
       "      <td>5.97</td>\n",
       "      <td>351.0</td>\n",
       "      <td>16.92</td>\n",
       "      <td>17.500000</td>\n",
       "      <td>3.31</td>\n",
       "      <td>35.750000</td>\n",
       "      <td>0.34</td>\n",
       "      <td>10.65</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>200.050003</td>\n",
       "      <td>48.430000</td>\n",
       "      <td>43.659000</td>\n",
       "      <td>2.88</td>\n",
       "      <td>2.76</td>\n",
       "      <td>8.64</td>\n",
       "      <td>14.18</td>\n",
       "      <td>3.29</td>\n",
       "      <td>55.730000</td>\n",
       "      <td>249.490005</td>\n",
       "      <td>56.580002</td>\n",
       "      <td>235.360001</td>\n",
       "      <td>66.139999</td>\n",
       "      <td>3.25</td>\n",
       "      <td>295.109985</td>\n",
       "      <td>128.660004</td>\n",
       "      <td>19.559999</td>\n",
       "      <td>158.699997</td>\n",
       "      <td>5.56</td>\n",
       "      <td>17.24</td>\n",
       "      <td>23.990000</td>\n",
       "      <td>6.65</td>\n",
       "      <td>123.010002</td>\n",
       "      <td>31.360001</td>\n",
       "      <td>3.62</td>\n",
       "      <td>24.370001</td>\n",
       "      <td>1.32</td>\n",
       "      <td>3.12</td>\n",
       "      <td>36.500000</td>\n",
       "      <td>0.23700</td>\n",
       "      <td>50.419998</td>\n",
       "      <td>104.589996</td>\n",
       "      <td>546.739990</td>\n",
       "      <td>127.209999</td>\n",
       "      <td>16.299999</td>\n",
       "      <td>52.740002</td>\n",
       "      <td>2.29</td>\n",
       "      <td>374.880005</td>\n",
       "      <td>9.87</td>\n",
       "      <td>0.760</td>\n",
       "      <td>4.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-08-04</td>\n",
       "      <td>6.43</td>\n",
       "      <td>7.71</td>\n",
       "      <td>146.949997</td>\n",
       "      <td>37.160000</td>\n",
       "      <td>2.94</td>\n",
       "      <td>121.570000</td>\n",
       "      <td>24.080000</td>\n",
       "      <td>21.049999</td>\n",
       "      <td>8.64</td>\n",
       "      <td>37.910000</td>\n",
       "      <td>38.709999</td>\n",
       "      <td>3.75</td>\n",
       "      <td>14.40</td>\n",
       "      <td>14.31</td>\n",
       "      <td>1.15</td>\n",
       "      <td>5.63</td>\n",
       "      <td>0.53</td>\n",
       "      <td>3.44</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.03</td>\n",
       "      <td>5.24</td>\n",
       "      <td>212.000000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>9.845</td>\n",
       "      <td>0.430</td>\n",
       "      <td>5.45</td>\n",
       "      <td>5.54</td>\n",
       "      <td>15.00</td>\n",
       "      <td>13.22</td>\n",
       "      <td>6.86</td>\n",
       "      <td>5.57</td>\n",
       "      <td>46.549999</td>\n",
       "      <td>1.18</td>\n",
       "      <td>3.56</td>\n",
       "      <td>29.50</td>\n",
       "      <td>2.48</td>\n",
       "      <td>1.62</td>\n",
       "      <td>8.84</td>\n",
       "      <td>708.010010</td>\n",
       "      <td>8.63</td>\n",
       "      <td>128.929993</td>\n",
       "      <td>183.440002</td>\n",
       "      <td>8.19</td>\n",
       "      <td>84.029999</td>\n",
       "      <td>97.900002</td>\n",
       "      <td>1.680</td>\n",
       "      <td>228.309998</td>\n",
       "      <td>0.129</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.21</td>\n",
       "      <td>4.44</td>\n",
       "      <td>14.15</td>\n",
       "      <td>12.99</td>\n",
       "      <td>3354.719971</td>\n",
       "      <td>9.71</td>\n",
       "      <td>11.20</td>\n",
       "      <td>32.669998</td>\n",
       "      <td>2.21</td>\n",
       "      <td>25.60</td>\n",
       "      <td>6.46</td>\n",
       "      <td>140.449997</td>\n",
       "      <td>4.57</td>\n",
       "      <td>1.60</td>\n",
       "      <td>308.880005</td>\n",
       "      <td>15.01</td>\n",
       "      <td>59.369999</td>\n",
       "      <td>13.44</td>\n",
       "      <td>0.22</td>\n",
       "      <td>66.120003</td>\n",
       "      <td>123.660004</td>\n",
       "      <td>36.799999</td>\n",
       "      <td>0.0170</td>\n",
       "      <td>9.35</td>\n",
       "      <td>15.23</td>\n",
       "      <td>13.24</td>\n",
       "      <td>1.98</td>\n",
       "      <td>9.90</td>\n",
       "      <td>1.48</td>\n",
       "      <td>7.17</td>\n",
       "      <td>6.64</td>\n",
       "      <td>3.15</td>\n",
       "      <td>12.40</td>\n",
       "      <td>81.879997</td>\n",
       "      <td>0.00950</td>\n",
       "      <td>0.409</td>\n",
       "      <td>42.770000</td>\n",
       "      <td>5.24</td>\n",
       "      <td>0.930</td>\n",
       "      <td>6.93</td>\n",
       "      <td>19.299999</td>\n",
       "      <td>49.349998</td>\n",
       "      <td>145.600006</td>\n",
       "      <td>576.000000</td>\n",
       "      <td>200.710007</td>\n",
       "      <td>9.87</td>\n",
       "      <td>3.77</td>\n",
       "      <td>11.41</td>\n",
       "      <td>16.260000</td>\n",
       "      <td>3.75</td>\n",
       "      <td>0.461</td>\n",
       "      <td>10.17</td>\n",
       "      <td>210.0</td>\n",
       "      <td>163.820007</td>\n",
       "      <td>3.96</td>\n",
       "      <td>0.56</td>\n",
       "      <td>51.490002</td>\n",
       "      <td>2.94</td>\n",
       "      <td>15.22</td>\n",
       "      <td>5.32</td>\n",
       "      <td>3.03</td>\n",
       "      <td>16.191710</td>\n",
       "      <td>68.489998</td>\n",
       "      <td>7.69</td>\n",
       "      <td>11.62</td>\n",
       "      <td>8.64</td>\n",
       "      <td>3.84</td>\n",
       "      <td>24.389999</td>\n",
       "      <td>86.989998</td>\n",
       "      <td>6.39</td>\n",
       "      <td>174.039993</td>\n",
       "      <td>0.540</td>\n",
       "      <td>11.01</td>\n",
       "      <td>2.77</td>\n",
       "      <td>8.37</td>\n",
       "      <td>0.0014</td>\n",
       "      <td>24.389999</td>\n",
       "      <td>58.980000</td>\n",
       "      <td>1.90</td>\n",
       "      <td>17.790001</td>\n",
       "      <td>44.860001</td>\n",
       "      <td>11.76</td>\n",
       "      <td>2.07</td>\n",
       "      <td>11.55</td>\n",
       "      <td>192.929993</td>\n",
       "      <td>83.099998</td>\n",
       "      <td>3.85</td>\n",
       "      <td>65.095238</td>\n",
       "      <td>0.23</td>\n",
       "      <td>74.559998</td>\n",
       "      <td>15.32</td>\n",
       "      <td>82.029999</td>\n",
       "      <td>16.660000</td>\n",
       "      <td>1.70</td>\n",
       "      <td>188.240005</td>\n",
       "      <td>8.26</td>\n",
       "      <td>21.600000</td>\n",
       "      <td>6.19</td>\n",
       "      <td>19.330000</td>\n",
       "      <td>1.53</td>\n",
       "      <td>1.09</td>\n",
       "      <td>88.559998</td>\n",
       "      <td>126.080002</td>\n",
       "      <td>12.79</td>\n",
       "      <td>770.000000</td>\n",
       "      <td>1.50</td>\n",
       "      <td>44.840000</td>\n",
       "      <td>1.05</td>\n",
       "      <td>4.82</td>\n",
       "      <td>57.970001</td>\n",
       "      <td>6.48</td>\n",
       "      <td>69.089996</td>\n",
       "      <td>3.31</td>\n",
       "      <td>1.53</td>\n",
       "      <td>84.900002</td>\n",
       "      <td>25.250000</td>\n",
       "      <td>24.940001</td>\n",
       "      <td>20.690001</td>\n",
       "      <td>5.17</td>\n",
       "      <td>21.570000</td>\n",
       "      <td>8.07</td>\n",
       "      <td>7.19</td>\n",
       "      <td>416.309998</td>\n",
       "      <td>244.169998</td>\n",
       "      <td>5.77</td>\n",
       "      <td>3.88</td>\n",
       "      <td>140.429993</td>\n",
       "      <td>27.400000</td>\n",
       "      <td>25.750000</td>\n",
       "      <td>39.740002</td>\n",
       "      <td>0.0103</td>\n",
       "      <td>26.719999</td>\n",
       "      <td>10.49</td>\n",
       "      <td>55.689999</td>\n",
       "      <td>44.470001</td>\n",
       "      <td>37.939999</td>\n",
       "      <td>41.410000</td>\n",
       "      <td>2.06</td>\n",
       "      <td>31.920000</td>\n",
       "      <td>2.60</td>\n",
       "      <td>5.58</td>\n",
       "      <td>50.220001</td>\n",
       "      <td>0.08</td>\n",
       "      <td>8.83</td>\n",
       "      <td>9.870</td>\n",
       "      <td>1011.0</td>\n",
       "      <td>6.28</td>\n",
       "      <td>143.360001</td>\n",
       "      <td>4.99</td>\n",
       "      <td>1.40</td>\n",
       "      <td>0.59</td>\n",
       "      <td>29.51</td>\n",
       "      <td>0.75</td>\n",
       "      <td>74.260002</td>\n",
       "      <td>26.290001</td>\n",
       "      <td>1.54</td>\n",
       "      <td>146.710007</td>\n",
       "      <td>0.0478</td>\n",
       "      <td>86.379997</td>\n",
       "      <td>104.690002</td>\n",
       "      <td>59.770000</td>\n",
       "      <td>14.01</td>\n",
       "      <td>37.299999</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.31</td>\n",
       "      <td>3.510</td>\n",
       "      <td>514.530029</td>\n",
       "      <td>3.56</td>\n",
       "      <td>1.29</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>29.730000</td>\n",
       "      <td>62.040001</td>\n",
       "      <td>30.950001</td>\n",
       "      <td>22.690001</td>\n",
       "      <td>0.300</td>\n",
       "      <td>3.86</td>\n",
       "      <td>256.089996</td>\n",
       "      <td>24.760000</td>\n",
       "      <td>46.540001</td>\n",
       "      <td>4.90</td>\n",
       "      <td>0.05</td>\n",
       "      <td>8.24</td>\n",
       "      <td>2.889494</td>\n",
       "      <td>39.180000</td>\n",
       "      <td>193.929993</td>\n",
       "      <td>42.480000</td>\n",
       "      <td>74.339996</td>\n",
       "      <td>569.080017</td>\n",
       "      <td>39.639999</td>\n",
       "      <td>0.01260</td>\n",
       "      <td>6.46</td>\n",
       "      <td>828.340027</td>\n",
       "      <td>91.330002</td>\n",
       "      <td>14.00</td>\n",
       "      <td>0.002874</td>\n",
       "      <td>0.0011</td>\n",
       "      <td>202.100006</td>\n",
       "      <td>5.81</td>\n",
       "      <td>22.700001</td>\n",
       "      <td>1.08</td>\n",
       "      <td>105.830002</td>\n",
       "      <td>2.33</td>\n",
       "      <td>85.730003</td>\n",
       "      <td>358.920013</td>\n",
       "      <td>5.98</td>\n",
       "      <td>1.38</td>\n",
       "      <td>194.809998</td>\n",
       "      <td>209.699997</td>\n",
       "      <td>6.87</td>\n",
       "      <td>17.660000</td>\n",
       "      <td>247.600006</td>\n",
       "      <td>5.79</td>\n",
       "      <td>39.930000</td>\n",
       "      <td>9.68</td>\n",
       "      <td>38.500000</td>\n",
       "      <td>2.73</td>\n",
       "      <td>92.209999</td>\n",
       "      <td>304.019989</td>\n",
       "      <td>47.389999</td>\n",
       "      <td>3.15</td>\n",
       "      <td>5.75</td>\n",
       "      <td>0.05</td>\n",
       "      <td>32.259998</td>\n",
       "      <td>5.10</td>\n",
       "      <td>52.770000</td>\n",
       "      <td>195.869995</td>\n",
       "      <td>45.520000</td>\n",
       "      <td>102.910004</td>\n",
       "      <td>3.41</td>\n",
       "      <td>8.52</td>\n",
       "      <td>1.22</td>\n",
       "      <td>5.60</td>\n",
       "      <td>2.68</td>\n",
       "      <td>49.160000</td>\n",
       "      <td>242.929993</td>\n",
       "      <td>60.730000</td>\n",
       "      <td>1.97</td>\n",
       "      <td>80.629997</td>\n",
       "      <td>2.82</td>\n",
       "      <td>0.217</td>\n",
       "      <td>10.40</td>\n",
       "      <td>2720.570068</td>\n",
       "      <td>4.22</td>\n",
       "      <td>9.88</td>\n",
       "      <td>60.869564</td>\n",
       "      <td>35.840000</td>\n",
       "      <td>17.379999</td>\n",
       "      <td>2.46</td>\n",
       "      <td>0.480</td>\n",
       "      <td>7.18</td>\n",
       "      <td>0.05</td>\n",
       "      <td>40.139999</td>\n",
       "      <td>35.480000</td>\n",
       "      <td>100.919998</td>\n",
       "      <td>0.01815</td>\n",
       "      <td>0.1886</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>76.589996</td>\n",
       "      <td>229.589996</td>\n",
       "      <td>71.970001</td>\n",
       "      <td>17.08</td>\n",
       "      <td>258.380005</td>\n",
       "      <td>29.66</td>\n",
       "      <td>0.84</td>\n",
       "      <td>6.25</td>\n",
       "      <td>6.27</td>\n",
       "      <td>590.000000</td>\n",
       "      <td>107.510002</td>\n",
       "      <td>69.599998</td>\n",
       "      <td>14.22</td>\n",
       "      <td>119.529999</td>\n",
       "      <td>0.0010</td>\n",
       "      <td>16.520000</td>\n",
       "      <td>9.20</td>\n",
       "      <td>1.04</td>\n",
       "      <td>0.479</td>\n",
       "      <td>0.47</td>\n",
       "      <td>5.52</td>\n",
       "      <td>1.66</td>\n",
       "      <td>8.32</td>\n",
       "      <td>0.0032</td>\n",
       "      <td>3.70</td>\n",
       "      <td>2.66</td>\n",
       "      <td>9.71</td>\n",
       "      <td>117.930000</td>\n",
       "      <td>82.260002</td>\n",
       "      <td>33.189999</td>\n",
       "      <td>24.770000</td>\n",
       "      <td>20.049999</td>\n",
       "      <td>536.059998</td>\n",
       "      <td>16.450001</td>\n",
       "      <td>4.32</td>\n",
       "      <td>37.810001</td>\n",
       "      <td>0.075</td>\n",
       "      <td>15.810000</td>\n",
       "      <td>12.94</td>\n",
       "      <td>399.600006</td>\n",
       "      <td>0.86</td>\n",
       "      <td>0.05</td>\n",
       "      <td>2.17</td>\n",
       "      <td>103.919998</td>\n",
       "      <td>4.08</td>\n",
       "      <td>9.100</td>\n",
       "      <td>153.550003</td>\n",
       "      <td>71.400002</td>\n",
       "      <td>173.360001</td>\n",
       "      <td>28.549999</td>\n",
       "      <td>0.45</td>\n",
       "      <td>28.910000</td>\n",
       "      <td>9.72</td>\n",
       "      <td>2.05</td>\n",
       "      <td>7.82</td>\n",
       "      <td>27.660000</td>\n",
       "      <td>27.559999</td>\n",
       "      <td>3.59</td>\n",
       "      <td>2.56</td>\n",
       "      <td>105.440002</td>\n",
       "      <td>7.60</td>\n",
       "      <td>109.059998</td>\n",
       "      <td>4.57</td>\n",
       "      <td>305.619995</td>\n",
       "      <td>1.34</td>\n",
       "      <td>2.46</td>\n",
       "      <td>3.54</td>\n",
       "      <td>361.640015</td>\n",
       "      <td>19.240000</td>\n",
       "      <td>62.310001</td>\n",
       "      <td>0.10</td>\n",
       "      <td>30.270000</td>\n",
       "      <td>4.95</td>\n",
       "      <td>8.60</td>\n",
       "      <td>3.41</td>\n",
       "      <td>5.21</td>\n",
       "      <td>28.719999</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.33</td>\n",
       "      <td>205.369995</td>\n",
       "      <td>7.09</td>\n",
       "      <td>29.700001</td>\n",
       "      <td>1.56</td>\n",
       "      <td>3.66</td>\n",
       "      <td>4.95</td>\n",
       "      <td>2.60</td>\n",
       "      <td>10.39</td>\n",
       "      <td>17.309999</td>\n",
       "      <td>24.780001</td>\n",
       "      <td>173.0</td>\n",
       "      <td>58.930000</td>\n",
       "      <td>10.075</td>\n",
       "      <td>0.12</td>\n",
       "      <td>21.540001</td>\n",
       "      <td>1.84</td>\n",
       "      <td>197.529999</td>\n",
       "      <td>86.139999</td>\n",
       "      <td>7.3</td>\n",
       "      <td>27.010000</td>\n",
       "      <td>3.35</td>\n",
       "      <td>4.03</td>\n",
       "      <td>3.64</td>\n",
       "      <td>23.629999</td>\n",
       "      <td>7.86</td>\n",
       "      <td>8.0</td>\n",
       "      <td>32.650002</td>\n",
       "      <td>5.46</td>\n",
       "      <td>278.790009</td>\n",
       "      <td>13.43</td>\n",
       "      <td>266.179993</td>\n",
       "      <td>466.429993</td>\n",
       "      <td>8.03</td>\n",
       "      <td>5.97</td>\n",
       "      <td>12.80</td>\n",
       "      <td>9.98</td>\n",
       "      <td>22.059999</td>\n",
       "      <td>61.400002</td>\n",
       "      <td>81.980003</td>\n",
       "      <td>39.169998</td>\n",
       "      <td>12.22</td>\n",
       "      <td>50.459999</td>\n",
       "      <td>4.2310</td>\n",
       "      <td>1.16</td>\n",
       "      <td>95.379997</td>\n",
       "      <td>1.68</td>\n",
       "      <td>0.1022</td>\n",
       "      <td>93.199997</td>\n",
       "      <td>1.210</td>\n",
       "      <td>0.63</td>\n",
       "      <td>40.209999</td>\n",
       "      <td>79.870003</td>\n",
       "      <td>47.490002</td>\n",
       "      <td>5.22</td>\n",
       "      <td>8.36</td>\n",
       "      <td>1.71</td>\n",
       "      <td>11.19</td>\n",
       "      <td>78.830002</td>\n",
       "      <td>517.349976</td>\n",
       "      <td>22.120001</td>\n",
       "      <td>2.40</td>\n",
       "      <td>15.62</td>\n",
       "      <td>8.14</td>\n",
       "      <td>6.09</td>\n",
       "      <td>3.85</td>\n",
       "      <td>39.799999</td>\n",
       "      <td>593.469971</td>\n",
       "      <td>9.66</td>\n",
       "      <td>15073.50</td>\n",
       "      <td>0.0015</td>\n",
       "      <td>3.76</td>\n",
       "      <td>63.560001</td>\n",
       "      <td>0.0075</td>\n",
       "      <td>93.019997</td>\n",
       "      <td>34.169998</td>\n",
       "      <td>3.01</td>\n",
       "      <td>114.519997</td>\n",
       "      <td>4.61</td>\n",
       "      <td>13.26</td>\n",
       "      <td>61.189999</td>\n",
       "      <td>223.809998</td>\n",
       "      <td>202.740005</td>\n",
       "      <td>147.880005</td>\n",
       "      <td>30.920000</td>\n",
       "      <td>1.10</td>\n",
       "      <td>24.330000</td>\n",
       "      <td>212.429993</td>\n",
       "      <td>46.520000</td>\n",
       "      <td>10.51</td>\n",
       "      <td>2.49</td>\n",
       "      <td>14.50</td>\n",
       "      <td>45.669998</td>\n",
       "      <td>2.14</td>\n",
       "      <td>2.16</td>\n",
       "      <td>5.01</td>\n",
       "      <td>7.51</td>\n",
       "      <td>2.36</td>\n",
       "      <td>3.62</td>\n",
       "      <td>10.22</td>\n",
       "      <td>1.89</td>\n",
       "      <td>15.10</td>\n",
       "      <td>96.260002</td>\n",
       "      <td>66.000000</td>\n",
       "      <td>51.599998</td>\n",
       "      <td>1.690</td>\n",
       "      <td>32.130001</td>\n",
       "      <td>403.329987</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>2.49</td>\n",
       "      <td>7.22</td>\n",
       "      <td>6.85</td>\n",
       "      <td>214.449997</td>\n",
       "      <td>5.44</td>\n",
       "      <td>21.370001</td>\n",
       "      <td>262.880005</td>\n",
       "      <td>1.708891</td>\n",
       "      <td>1.10</td>\n",
       "      <td>12.50</td>\n",
       "      <td>0.053</td>\n",
       "      <td>3.65</td>\n",
       "      <td>1.49</td>\n",
       "      <td>279.179993</td>\n",
       "      <td>163.809998</td>\n",
       "      <td>99.199997</td>\n",
       "      <td>1.37</td>\n",
       "      <td>79.800003</td>\n",
       "      <td>16.240000</td>\n",
       "      <td>42.880001</td>\n",
       "      <td>7.23</td>\n",
       "      <td>17.150000</td>\n",
       "      <td>20.299999</td>\n",
       "      <td>3.15</td>\n",
       "      <td>38.480000</td>\n",
       "      <td>1.11</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.40</td>\n",
       "      <td>89.040001</td>\n",
       "      <td>0.683</td>\n",
       "      <td>3.52</td>\n",
       "      <td>103.970001</td>\n",
       "      <td>6.30</td>\n",
       "      <td>17.680000</td>\n",
       "      <td>5.57</td>\n",
       "      <td>3.58</td>\n",
       "      <td>98.820000</td>\n",
       "      <td>3.85</td>\n",
       "      <td>10.83</td>\n",
       "      <td>29.420000</td>\n",
       "      <td>85.449997</td>\n",
       "      <td>10.82</td>\n",
       "      <td>6.99</td>\n",
       "      <td>14.31</td>\n",
       "      <td>0.0099</td>\n",
       "      <td>57.470001</td>\n",
       "      <td>580.950012</td>\n",
       "      <td>9.83</td>\n",
       "      <td>1.85</td>\n",
       "      <td>2.78</td>\n",
       "      <td>252.589996</td>\n",
       "      <td>0.73</td>\n",
       "      <td>31.549999</td>\n",
       "      <td>0.94</td>\n",
       "      <td>3.73</td>\n",
       "      <td>2.370</td>\n",
       "      <td>1.01</td>\n",
       "      <td>12.000</td>\n",
       "      <td>25.00</td>\n",
       "      <td>0.71</td>\n",
       "      <td>259.660004</td>\n",
       "      <td>25.313000</td>\n",
       "      <td>0.011867</td>\n",
       "      <td>116.459999</td>\n",
       "      <td>36.740002</td>\n",
       "      <td>0.46</td>\n",
       "      <td>1.03</td>\n",
       "      <td>85.820000</td>\n",
       "      <td>52.810001</td>\n",
       "      <td>29.320000</td>\n",
       "      <td>1.42</td>\n",
       "      <td>17.040001</td>\n",
       "      <td>0.12</td>\n",
       "      <td>41.650002</td>\n",
       "      <td>50.980000</td>\n",
       "      <td>82.360001</td>\n",
       "      <td>146.389999</td>\n",
       "      <td>3.27</td>\n",
       "      <td>16.959999</td>\n",
       "      <td>118.250000</td>\n",
       "      <td>3.86</td>\n",
       "      <td>6.65</td>\n",
       "      <td>1.06</td>\n",
       "      <td>292.730011</td>\n",
       "      <td>71.089996</td>\n",
       "      <td>8.19</td>\n",
       "      <td>9.99</td>\n",
       "      <td>163.210007</td>\n",
       "      <td>9.46</td>\n",
       "      <td>47.980000</td>\n",
       "      <td>0.0488</td>\n",
       "      <td>23.240000</td>\n",
       "      <td>1555.520020</td>\n",
       "      <td>7.64</td>\n",
       "      <td>6.43</td>\n",
       "      <td>9.34</td>\n",
       "      <td>115.519997</td>\n",
       "      <td>5.00</td>\n",
       "      <td>76.900002</td>\n",
       "      <td>97.250000</td>\n",
       "      <td>13.87</td>\n",
       "      <td>0.008</td>\n",
       "      <td>20.120001</td>\n",
       "      <td>15.35</td>\n",
       "      <td>141.199997</td>\n",
       "      <td>0.105</td>\n",
       "      <td>27.160000</td>\n",
       "      <td>15330.0</td>\n",
       "      <td>266.420013</td>\n",
       "      <td>0.16</td>\n",
       "      <td>5.47</td>\n",
       "      <td>72.919998</td>\n",
       "      <td>130.860001</td>\n",
       "      <td>1.57</td>\n",
       "      <td>0.075</td>\n",
       "      <td>67.500000</td>\n",
       "      <td>1.41</td>\n",
       "      <td>19.700001</td>\n",
       "      <td>216.470001</td>\n",
       "      <td>21.950001</td>\n",
       "      <td>86.589996</td>\n",
       "      <td>89.320000</td>\n",
       "      <td>8.93</td>\n",
       "      <td>27.180000</td>\n",
       "      <td>20.530001</td>\n",
       "      <td>2.840</td>\n",
       "      <td>27.850000</td>\n",
       "      <td>13.00</td>\n",
       "      <td>59.139999</td>\n",
       "      <td>24.18</td>\n",
       "      <td>3.45</td>\n",
       "      <td>149.729996</td>\n",
       "      <td>19.389999</td>\n",
       "      <td>6.25</td>\n",
       "      <td>127.900002</td>\n",
       "      <td>1.900</td>\n",
       "      <td>24.250000</td>\n",
       "      <td>1.61</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>0.66</td>\n",
       "      <td>1.820</td>\n",
       "      <td>86.730003</td>\n",
       "      <td>21.709999</td>\n",
       "      <td>27.260000</td>\n",
       "      <td>119.459999</td>\n",
       "      <td>5.21</td>\n",
       "      <td>114.949997</td>\n",
       "      <td>1.25</td>\n",
       "      <td>20.049999</td>\n",
       "      <td>29.250000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>710.919983</td>\n",
       "      <td>133.339996</td>\n",
       "      <td>73.589996</td>\n",
       "      <td>2.24</td>\n",
       "      <td>1.21</td>\n",
       "      <td>41.820000</td>\n",
       "      <td>68.699997</td>\n",
       "      <td>0.91</td>\n",
       "      <td>192.380005</td>\n",
       "      <td>317.690002</td>\n",
       "      <td>8.18</td>\n",
       "      <td>342.570007</td>\n",
       "      <td>421.540009</td>\n",
       "      <td>0.014</td>\n",
       "      <td>206.089996</td>\n",
       "      <td>1.38</td>\n",
       "      <td>18.25</td>\n",
       "      <td>3.12</td>\n",
       "      <td>44.639999</td>\n",
       "      <td>46.340000</td>\n",
       "      <td>22.379999</td>\n",
       "      <td>340.980011</td>\n",
       "      <td>6.85</td>\n",
       "      <td>79.269997</td>\n",
       "      <td>14.31</td>\n",
       "      <td>4.02</td>\n",
       "      <td>5.97</td>\n",
       "      <td>17.620001</td>\n",
       "      <td>5.85</td>\n",
       "      <td>354.0</td>\n",
       "      <td>15.94</td>\n",
       "      <td>17.200001</td>\n",
       "      <td>3.28</td>\n",
       "      <td>35.799999</td>\n",
       "      <td>0.32</td>\n",
       "      <td>10.58</td>\n",
       "      <td>59.150002</td>\n",
       "      <td>199.589996</td>\n",
       "      <td>48.060001</td>\n",
       "      <td>43.529999</td>\n",
       "      <td>2.94</td>\n",
       "      <td>2.64</td>\n",
       "      <td>8.40</td>\n",
       "      <td>13.68</td>\n",
       "      <td>3.18</td>\n",
       "      <td>55.369999</td>\n",
       "      <td>251.050003</td>\n",
       "      <td>56.849998</td>\n",
       "      <td>232.229996</td>\n",
       "      <td>64.940002</td>\n",
       "      <td>3.53</td>\n",
       "      <td>294.359985</td>\n",
       "      <td>138.699997</td>\n",
       "      <td>19.709999</td>\n",
       "      <td>156.520004</td>\n",
       "      <td>5.55</td>\n",
       "      <td>16.73</td>\n",
       "      <td>24.480000</td>\n",
       "      <td>6.56</td>\n",
       "      <td>126.500000</td>\n",
       "      <td>31.059999</td>\n",
       "      <td>3.63</td>\n",
       "      <td>23.440001</td>\n",
       "      <td>1.33</td>\n",
       "      <td>2.99</td>\n",
       "      <td>35.930000</td>\n",
       "      <td>0.23100</td>\n",
       "      <td>49.970001</td>\n",
       "      <td>109.230003</td>\n",
       "      <td>560.000000</td>\n",
       "      <td>127.459999</td>\n",
       "      <td>16.170000</td>\n",
       "      <td>52.230000</td>\n",
       "      <td>2.22</td>\n",
       "      <td>400.579987</td>\n",
       "      <td>9.90</td>\n",
       "      <td>0.739</td>\n",
       "      <td>4.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-08-05</td>\n",
       "      <td>6.30</td>\n",
       "      <td>7.70</td>\n",
       "      <td>147.059998</td>\n",
       "      <td>37.290001</td>\n",
       "      <td>3.10</td>\n",
       "      <td>122.209999</td>\n",
       "      <td>24.860001</td>\n",
       "      <td>19.250000</td>\n",
       "      <td>8.77</td>\n",
       "      <td>37.959999</td>\n",
       "      <td>43.650002</td>\n",
       "      <td>4.10</td>\n",
       "      <td>14.56</td>\n",
       "      <td>14.76</td>\n",
       "      <td>1.20</td>\n",
       "      <td>5.81</td>\n",
       "      <td>0.53</td>\n",
       "      <td>3.53</td>\n",
       "      <td>1.57</td>\n",
       "      <td>1.03</td>\n",
       "      <td>5.35</td>\n",
       "      <td>213.289993</td>\n",
       "      <td>89.419998</td>\n",
       "      <td>9.930</td>\n",
       "      <td>0.436</td>\n",
       "      <td>5.67</td>\n",
       "      <td>5.30</td>\n",
       "      <td>15.01</td>\n",
       "      <td>13.59</td>\n",
       "      <td>6.98</td>\n",
       "      <td>5.67</td>\n",
       "      <td>46.369999</td>\n",
       "      <td>1.10</td>\n",
       "      <td>3.70</td>\n",
       "      <td>29.50</td>\n",
       "      <td>2.87</td>\n",
       "      <td>1.69</td>\n",
       "      <td>9.57</td>\n",
       "      <td>699.219971</td>\n",
       "      <td>8.59</td>\n",
       "      <td>127.930000</td>\n",
       "      <td>193.899994</td>\n",
       "      <td>8.50</td>\n",
       "      <td>85.410004</td>\n",
       "      <td>101.809998</td>\n",
       "      <td>1.664</td>\n",
       "      <td>233.990005</td>\n",
       "      <td>0.121</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.45</td>\n",
       "      <td>4.86</td>\n",
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       "      <td>9.15</td>\n",
       "      <td>1.85</td>\n",
       "      <td>2.87</td>\n",
       "      <td>254.669998</td>\n",
       "      <td>0.72</td>\n",
       "      <td>32.150002</td>\n",
       "      <td>0.94</td>\n",
       "      <td>3.89</td>\n",
       "      <td>2.400</td>\n",
       "      <td>1.09</td>\n",
       "      <td>12.355</td>\n",
       "      <td>25.01</td>\n",
       "      <td>0.71</td>\n",
       "      <td>249.869995</td>\n",
       "      <td>25.327999</td>\n",
       "      <td>0.010211</td>\n",
       "      <td>113.760002</td>\n",
       "      <td>37.250000</td>\n",
       "      <td>0.45</td>\n",
       "      <td>1.04</td>\n",
       "      <td>86.879997</td>\n",
       "      <td>53.450001</td>\n",
       "      <td>29.830000</td>\n",
       "      <td>1.45</td>\n",
       "      <td>17.129999</td>\n",
       "      <td>0.12</td>\n",
       "      <td>43.209999</td>\n",
       "      <td>52.009998</td>\n",
       "      <td>82.400002</td>\n",
       "      <td>148.940002</td>\n",
       "      <td>3.42</td>\n",
       "      <td>17.230000</td>\n",
       "      <td>119.029999</td>\n",
       "      <td>3.95</td>\n",
       "      <td>6.98</td>\n",
       "      <td>1.06</td>\n",
       "      <td>286.390015</td>\n",
       "      <td>71.680000</td>\n",
       "      <td>8.27</td>\n",
       "      <td>9.99</td>\n",
       "      <td>162.199997</td>\n",
       "      <td>9.97</td>\n",
       "      <td>49.040001</td>\n",
       "      <td>0.0440</td>\n",
       "      <td>23.160000</td>\n",
       "      <td>1545.550049</td>\n",
       "      <td>7.74</td>\n",
       "      <td>6.51</td>\n",
       "      <td>9.58</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>5.30</td>\n",
       "      <td>77.320000</td>\n",
       "      <td>99.730003</td>\n",
       "      <td>14.20</td>\n",
       "      <td>0.007</td>\n",
       "      <td>20.080000</td>\n",
       "      <td>15.53</td>\n",
       "      <td>146.509995</td>\n",
       "      <td>0.100</td>\n",
       "      <td>28.350000</td>\n",
       "      <td>15410.0</td>\n",
       "      <td>281.809998</td>\n",
       "      <td>0.16</td>\n",
       "      <td>5.52</td>\n",
       "      <td>73.209999</td>\n",
       "      <td>132.940002</td>\n",
       "      <td>1.54</td>\n",
       "      <td>0.073</td>\n",
       "      <td>78.540001</td>\n",
       "      <td>1.41</td>\n",
       "      <td>21.889999</td>\n",
       "      <td>215.529999</td>\n",
       "      <td>22.370001</td>\n",
       "      <td>87.489998</td>\n",
       "      <td>90.900002</td>\n",
       "      <td>8.88</td>\n",
       "      <td>26.590000</td>\n",
       "      <td>20.360001</td>\n",
       "      <td>2.725</td>\n",
       "      <td>27.940001</td>\n",
       "      <td>13.45</td>\n",
       "      <td>57.400002</td>\n",
       "      <td>24.73</td>\n",
       "      <td>3.68</td>\n",
       "      <td>153.029999</td>\n",
       "      <td>19.559999</td>\n",
       "      <td>6.50</td>\n",
       "      <td>126.580002</td>\n",
       "      <td>1.890</td>\n",
       "      <td>24.450001</td>\n",
       "      <td>1.68</td>\n",
       "      <td>109.970001</td>\n",
       "      <td>0.69</td>\n",
       "      <td>1.890</td>\n",
       "      <td>89.419998</td>\n",
       "      <td>21.680000</td>\n",
       "      <td>27.520000</td>\n",
       "      <td>120.459999</td>\n",
       "      <td>5.21</td>\n",
       "      <td>113.809998</td>\n",
       "      <td>1.43</td>\n",
       "      <td>20.440001</td>\n",
       "      <td>29.490000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>714.630005</td>\n",
       "      <td>135.539993</td>\n",
       "      <td>82.930000</td>\n",
       "      <td>2.26</td>\n",
       "      <td>1.17</td>\n",
       "      <td>41.630001</td>\n",
       "      <td>69.279999</td>\n",
       "      <td>0.94</td>\n",
       "      <td>193.160004</td>\n",
       "      <td>313.769989</td>\n",
       "      <td>8.38</td>\n",
       "      <td>351.649994</td>\n",
       "      <td>411.190002</td>\n",
       "      <td>0.013</td>\n",
       "      <td>205.419998</td>\n",
       "      <td>1.37</td>\n",
       "      <td>18.10</td>\n",
       "      <td>3.18</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>47.840000</td>\n",
       "      <td>22.500000</td>\n",
       "      <td>341.000000</td>\n",
       "      <td>7.00</td>\n",
       "      <td>80.559998</td>\n",
       "      <td>14.93</td>\n",
       "      <td>4.13</td>\n",
       "      <td>6.29</td>\n",
       "      <td>17.490000</td>\n",
       "      <td>6.15</td>\n",
       "      <td>351.0</td>\n",
       "      <td>16.01</td>\n",
       "      <td>17.129999</td>\n",
       "      <td>3.20</td>\n",
       "      <td>36.150002</td>\n",
       "      <td>0.40</td>\n",
       "      <td>11.10</td>\n",
       "      <td>60.020000</td>\n",
       "      <td>202.990005</td>\n",
       "      <td>52.160000</td>\n",
       "      <td>43.418999</td>\n",
       "      <td>3.07</td>\n",
       "      <td>2.79</td>\n",
       "      <td>8.66</td>\n",
       "      <td>14.00</td>\n",
       "      <td>3.18</td>\n",
       "      <td>55.299999</td>\n",
       "      <td>276.160004</td>\n",
       "      <td>56.580002</td>\n",
       "      <td>236.000000</td>\n",
       "      <td>67.070000</td>\n",
       "      <td>3.28</td>\n",
       "      <td>273.980011</td>\n",
       "      <td>135.750000</td>\n",
       "      <td>19.740000</td>\n",
       "      <td>157.910004</td>\n",
       "      <td>6.03</td>\n",
       "      <td>17.00</td>\n",
       "      <td>24.520000</td>\n",
       "      <td>6.67</td>\n",
       "      <td>127.379997</td>\n",
       "      <td>32.270000</td>\n",
       "      <td>3.70</td>\n",
       "      <td>23.480000</td>\n",
       "      <td>1.29</td>\n",
       "      <td>3.52</td>\n",
       "      <td>37.200001</td>\n",
       "      <td>0.22400</td>\n",
       "      <td>49.950001</td>\n",
       "      <td>110.239998</td>\n",
       "      <td>569.219971</td>\n",
       "      <td>129.419998</td>\n",
       "      <td>16.530001</td>\n",
       "      <td>53.119999</td>\n",
       "      <td>2.31</td>\n",
       "      <td>398.679993</td>\n",
       "      <td>9.77</td>\n",
       "      <td>0.750</td>\n",
       "      <td>4.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-08-06</td>\n",
       "      <td>6.20</td>\n",
       "      <td>7.15</td>\n",
       "      <td>146.139999</td>\n",
       "      <td>36.980000</td>\n",
       "      <td>3.11</td>\n",
       "      <td>122.169998</td>\n",
       "      <td>25.049999</td>\n",
       "      <td>19.180000</td>\n",
       "      <td>8.93</td>\n",
       "      <td>37.509998</td>\n",
       "      <td>45.560001</td>\n",
       "      <td>3.65</td>\n",
       "      <td>14.63</td>\n",
       "      <td>14.90</td>\n",
       "      <td>1.24</td>\n",
       "      <td>5.92</td>\n",
       "      <td>0.53</td>\n",
       "      <td>3.49</td>\n",
       "      <td>1.58</td>\n",
       "      <td>1.03</td>\n",
       "      <td>5.27</td>\n",
       "      <td>213.000000</td>\n",
       "      <td>91.400002</td>\n",
       "      <td>9.870</td>\n",
       "      <td>0.431</td>\n",
       "      <td>5.85</td>\n",
       "      <td>5.21</td>\n",
       "      <td>15.22</td>\n",
       "      <td>13.84</td>\n",
       "      <td>6.76</td>\n",
       "      <td>5.63</td>\n",
       "      <td>46.049999</td>\n",
       "      <td>1.11</td>\n",
       "      <td>3.74</td>\n",
       "      <td>28.75</td>\n",
       "      <td>2.74</td>\n",
       "      <td>1.67</td>\n",
       "      <td>9.82</td>\n",
       "      <td>693.669983</td>\n",
       "      <td>8.12</td>\n",
       "      <td>130.820007</td>\n",
       "      <td>195.229996</td>\n",
       "      <td>8.86</td>\n",
       "      <td>90.279999</td>\n",
       "      <td>102.760002</td>\n",
       "      <td>1.620</td>\n",
       "      <td>230.149994</td>\n",
       "      <td>0.122</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.51</td>\n",
       "      <td>4.93</td>\n",
       "      <td>14.54</td>\n",
       "      <td>12.69</td>\n",
       "      <td>3344.939941</td>\n",
       "      <td>9.71</td>\n",
       "      <td>11.21</td>\n",
       "      <td>33.060001</td>\n",
       "      <td>2.41</td>\n",
       "      <td>26.52</td>\n",
       "      <td>6.80</td>\n",
       "      <td>138.779999</td>\n",
       "      <td>4.96</td>\n",
       "      <td>1.60</td>\n",
       "      <td>313.109985</td>\n",
       "      <td>15.39</td>\n",
       "      <td>55.160000</td>\n",
       "      <td>13.62</td>\n",
       "      <td>0.21</td>\n",
       "      <td>64.790001</td>\n",
       "      <td>123.730003</td>\n",
       "      <td>36.599998</td>\n",
       "      <td>0.0212</td>\n",
       "      <td>9.37</td>\n",
       "      <td>14.01</td>\n",
       "      <td>13.23</td>\n",
       "      <td>1.95</td>\n",
       "      <td>9.86</td>\n",
       "      <td>1.60</td>\n",
       "      <td>7.95</td>\n",
       "      <td>6.92</td>\n",
       "      <td>3.38</td>\n",
       "      <td>12.64</td>\n",
       "      <td>83.750000</td>\n",
       "      <td>0.01275</td>\n",
       "      <td>0.345</td>\n",
       "      <td>42.669998</td>\n",
       "      <td>5.95</td>\n",
       "      <td>0.940</td>\n",
       "      <td>7.05</td>\n",
       "      <td>18.250000</td>\n",
       "      <td>51.160000</td>\n",
       "      <td>147.970001</td>\n",
       "      <td>574.799988</td>\n",
       "      <td>196.389999</td>\n",
       "      <td>10.29</td>\n",
       "      <td>3.96</td>\n",
       "      <td>11.44</td>\n",
       "      <td>17.610001</td>\n",
       "      <td>3.75</td>\n",
       "      <td>0.400</td>\n",
       "      <td>10.44</td>\n",
       "      <td>215.0</td>\n",
       "      <td>164.259995</td>\n",
       "      <td>4.07</td>\n",
       "      <td>0.59</td>\n",
       "      <td>53.160000</td>\n",
       "      <td>3.22</td>\n",
       "      <td>15.49</td>\n",
       "      <td>5.00</td>\n",
       "      <td>3.15</td>\n",
       "      <td>16.211140</td>\n",
       "      <td>68.120003</td>\n",
       "      <td>8.08</td>\n",
       "      <td>11.56</td>\n",
       "      <td>8.86</td>\n",
       "      <td>3.92</td>\n",
       "      <td>24.770000</td>\n",
       "      <td>95.489998</td>\n",
       "      <td>6.77</td>\n",
       "      <td>173.369995</td>\n",
       "      <td>0.577</td>\n",
       "      <td>12.35</td>\n",
       "      <td>2.72</td>\n",
       "      <td>7.99</td>\n",
       "      <td>0.0013</td>\n",
       "      <td>23.879999</td>\n",
       "      <td>50.990002</td>\n",
       "      <td>2.30</td>\n",
       "      <td>17.700001</td>\n",
       "      <td>45.700001</td>\n",
       "      <td>12.08</td>\n",
       "      <td>2.12</td>\n",
       "      <td>12.78</td>\n",
       "      <td>195.449997</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>3.93</td>\n",
       "      <td>67.447617</td>\n",
       "      <td>0.23</td>\n",
       "      <td>77.959999</td>\n",
       "      <td>15.25</td>\n",
       "      <td>81.540001</td>\n",
       "      <td>18.139999</td>\n",
       "      <td>1.67</td>\n",
       "      <td>190.050003</td>\n",
       "      <td>8.74</td>\n",
       "      <td>25.320000</td>\n",
       "      <td>6.23</td>\n",
       "      <td>19.240000</td>\n",
       "      <td>1.42</td>\n",
       "      <td>1.13</td>\n",
       "      <td>83.949997</td>\n",
       "      <td>124.459999</td>\n",
       "      <td>13.02</td>\n",
       "      <td>770.090027</td>\n",
       "      <td>1.55</td>\n",
       "      <td>47.599998</td>\n",
       "      <td>1.09</td>\n",
       "      <td>4.97</td>\n",
       "      <td>58.689999</td>\n",
       "      <td>6.72</td>\n",
       "      <td>66.800003</td>\n",
       "      <td>3.50</td>\n",
       "      <td>1.68</td>\n",
       "      <td>87.290001</td>\n",
       "      <td>26.370001</td>\n",
       "      <td>20.540001</td>\n",
       "      <td>16.540001</td>\n",
       "      <td>5.25</td>\n",
       "      <td>21.830000</td>\n",
       "      <td>8.60</td>\n",
       "      <td>6.94</td>\n",
       "      <td>408.410004</td>\n",
       "      <td>250.589996</td>\n",
       "      <td>6.01</td>\n",
       "      <td>4.13</td>\n",
       "      <td>140.809998</td>\n",
       "      <td>28.080000</td>\n",
       "      <td>24.500000</td>\n",
       "      <td>38.720001</td>\n",
       "      <td>0.0084</td>\n",
       "      <td>27.309999</td>\n",
       "      <td>10.55</td>\n",
       "      <td>55.590000</td>\n",
       "      <td>46.060001</td>\n",
       "      <td>38.950001</td>\n",
       "      <td>40.009998</td>\n",
       "      <td>1.98</td>\n",
       "      <td>32.299999</td>\n",
       "      <td>2.62</td>\n",
       "      <td>5.25</td>\n",
       "      <td>50.139999</td>\n",
       "      <td>0.09</td>\n",
       "      <td>9.17</td>\n",
       "      <td>9.860</td>\n",
       "      <td>1024.0</td>\n",
       "      <td>6.05</td>\n",
       "      <td>139.309998</td>\n",
       "      <td>5.08</td>\n",
       "      <td>1.32</td>\n",
       "      <td>0.58</td>\n",
       "      <td>31.82</td>\n",
       "      <td>0.75</td>\n",
       "      <td>76.070000</td>\n",
       "      <td>27.660000</td>\n",
       "      <td>1.53</td>\n",
       "      <td>146.600006</td>\n",
       "      <td>0.0493</td>\n",
       "      <td>89.989998</td>\n",
       "      <td>107.550003</td>\n",
       "      <td>58.150002</td>\n",
       "      <td>14.83</td>\n",
       "      <td>27.250000</td>\n",
       "      <td>1.37</td>\n",
       "      <td>1.32</td>\n",
       "      <td>3.730</td>\n",
       "      <td>516.640015</td>\n",
       "      <td>3.69</td>\n",
       "      <td>1.24</td>\n",
       "      <td>65.489998</td>\n",
       "      <td>30.309999</td>\n",
       "      <td>60.810001</td>\n",
       "      <td>31.230000</td>\n",
       "      <td>24.440001</td>\n",
       "      <td>0.291</td>\n",
       "      <td>3.86</td>\n",
       "      <td>253.830002</td>\n",
       "      <td>25.340000</td>\n",
       "      <td>45.770000</td>\n",
       "      <td>5.04</td>\n",
       "      <td>0.04</td>\n",
       "      <td>9.04</td>\n",
       "      <td>3.600000</td>\n",
       "      <td>39.540001</td>\n",
       "      <td>179.740005</td>\n",
       "      <td>44.849998</td>\n",
       "      <td>76.510002</td>\n",
       "      <td>598.020020</td>\n",
       "      <td>41.680000</td>\n",
       "      <td>0.01300</td>\n",
       "      <td>6.47</td>\n",
       "      <td>820.150024</td>\n",
       "      <td>93.690002</td>\n",
       "      <td>14.21</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.0010</td>\n",
       "      <td>178.360001</td>\n",
       "      <td>6.69</td>\n",
       "      <td>23.820000</td>\n",
       "      <td>1.08</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>2.24</td>\n",
       "      <td>95.419998</td>\n",
       "      <td>363.510010</td>\n",
       "      <td>6.33</td>\n",
       "      <td>1.40</td>\n",
       "      <td>203.600006</td>\n",
       "      <td>201.679993</td>\n",
       "      <td>6.39</td>\n",
       "      <td>17.790001</td>\n",
       "      <td>267.049988</td>\n",
       "      <td>5.70</td>\n",
       "      <td>39.430000</td>\n",
       "      <td>10.50</td>\n",
       "      <td>38.650002</td>\n",
       "      <td>2.73</td>\n",
       "      <td>93.150002</td>\n",
       "      <td>303.679993</td>\n",
       "      <td>47.619999</td>\n",
       "      <td>3.44</td>\n",
       "      <td>6.65</td>\n",
       "      <td>0.04</td>\n",
       "      <td>33.590000</td>\n",
       "      <td>5.02</td>\n",
       "      <td>56.700001</td>\n",
       "      <td>199.080002</td>\n",
       "      <td>47.820000</td>\n",
       "      <td>104.519997</td>\n",
       "      <td>3.40</td>\n",
       "      <td>9.52</td>\n",
       "      <td>1.25</td>\n",
       "      <td>5.81</td>\n",
       "      <td>2.64</td>\n",
       "      <td>51.020000</td>\n",
       "      <td>258.309998</td>\n",
       "      <td>60.139999</td>\n",
       "      <td>2.06</td>\n",
       "      <td>80.489998</td>\n",
       "      <td>2.70</td>\n",
       "      <td>0.218</td>\n",
       "      <td>12.01</td>\n",
       "      <td>2740.719971</td>\n",
       "      <td>4.72</td>\n",
       "      <td>10.09</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>30.610001</td>\n",
       "      <td>18.150000</td>\n",
       "      <td>2.29</td>\n",
       "      <td>0.547</td>\n",
       "      <td>7.22</td>\n",
       "      <td>0.06</td>\n",
       "      <td>40.500000</td>\n",
       "      <td>36.970001</td>\n",
       "      <td>115.639999</td>\n",
       "      <td>0.01740</td>\n",
       "      <td>0.1950</td>\n",
       "      <td>15.900000</td>\n",
       "      <td>75.940002</td>\n",
       "      <td>229.679993</td>\n",
       "      <td>73.169998</td>\n",
       "      <td>17.15</td>\n",
       "      <td>261.700012</td>\n",
       "      <td>30.24</td>\n",
       "      <td>0.84</td>\n",
       "      <td>6.67</td>\n",
       "      <td>6.37</td>\n",
       "      <td>659.049988</td>\n",
       "      <td>105.959999</td>\n",
       "      <td>72.099998</td>\n",
       "      <td>11.77</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>0.0009</td>\n",
       "      <td>16.620001</td>\n",
       "      <td>8.65</td>\n",
       "      <td>1.06</td>\n",
       "      <td>0.420</td>\n",
       "      <td>0.40</td>\n",
       "      <td>5.71</td>\n",
       "      <td>1.66</td>\n",
       "      <td>9.30</td>\n",
       "      <td>0.0002</td>\n",
       "      <td>3.05</td>\n",
       "      <td>2.98</td>\n",
       "      <td>9.72</td>\n",
       "      <td>119.610001</td>\n",
       "      <td>64.279999</td>\n",
       "      <td>35.599998</td>\n",
       "      <td>25.600000</td>\n",
       "      <td>21.070000</td>\n",
       "      <td>534.289978</td>\n",
       "      <td>18.180000</td>\n",
       "      <td>4.27</td>\n",
       "      <td>38.799999</td>\n",
       "      <td>0.079</td>\n",
       "      <td>17.450001</td>\n",
       "      <td>13.35</td>\n",
       "      <td>391.000000</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.05</td>\n",
       "      <td>2.26</td>\n",
       "      <td>101.400002</td>\n",
       "      <td>4.08</td>\n",
       "      <td>9.335</td>\n",
       "      <td>150.039993</td>\n",
       "      <td>69.589996</td>\n",
       "      <td>173.110001</td>\n",
       "      <td>28.389999</td>\n",
       "      <td>0.47</td>\n",
       "      <td>27.850000</td>\n",
       "      <td>9.87</td>\n",
       "      <td>2.29</td>\n",
       "      <td>5.52</td>\n",
       "      <td>27.900000</td>\n",
       "      <td>26.910000</td>\n",
       "      <td>3.59</td>\n",
       "      <td>2.55</td>\n",
       "      <td>104.050003</td>\n",
       "      <td>7.52</td>\n",
       "      <td>110.029999</td>\n",
       "      <td>4.70</td>\n",
       "      <td>305.869995</td>\n",
       "      <td>1.26</td>\n",
       "      <td>2.54</td>\n",
       "      <td>3.99</td>\n",
       "      <td>362.049988</td>\n",
       "      <td>18.860001</td>\n",
       "      <td>61.790001</td>\n",
       "      <td>0.10</td>\n",
       "      <td>30.030001</td>\n",
       "      <td>4.91</td>\n",
       "      <td>8.37</td>\n",
       "      <td>3.56</td>\n",
       "      <td>5.36</td>\n",
       "      <td>34.250000</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.40</td>\n",
       "      <td>199.929993</td>\n",
       "      <td>6.98</td>\n",
       "      <td>33.139999</td>\n",
       "      <td>1.53</td>\n",
       "      <td>3.71</td>\n",
       "      <td>5.12</td>\n",
       "      <td>2.78</td>\n",
       "      <td>10.33</td>\n",
       "      <td>17.370001</td>\n",
       "      <td>24.540001</td>\n",
       "      <td>172.0</td>\n",
       "      <td>58.590000</td>\n",
       "      <td>10.030</td>\n",
       "      <td>0.12</td>\n",
       "      <td>21.260000</td>\n",
       "      <td>1.79</td>\n",
       "      <td>198.130005</td>\n",
       "      <td>83.989998</td>\n",
       "      <td>7.3</td>\n",
       "      <td>28.450001</td>\n",
       "      <td>3.49</td>\n",
       "      <td>4.04</td>\n",
       "      <td>3.68</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>7.49</td>\n",
       "      <td>8.2</td>\n",
       "      <td>32.610001</td>\n",
       "      <td>6.08</td>\n",
       "      <td>265.059998</td>\n",
       "      <td>13.26</td>\n",
       "      <td>261.029999</td>\n",
       "      <td>461.790009</td>\n",
       "      <td>8.40</td>\n",
       "      <td>5.87</td>\n",
       "      <td>12.90</td>\n",
       "      <td>9.95</td>\n",
       "      <td>21.820000</td>\n",
       "      <td>61.939999</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>44.110001</td>\n",
       "      <td>15.44</td>\n",
       "      <td>50.520000</td>\n",
       "      <td>4.2150</td>\n",
       "      <td>1.19</td>\n",
       "      <td>96.339996</td>\n",
       "      <td>1.70</td>\n",
       "      <td>0.0960</td>\n",
       "      <td>89.570000</td>\n",
       "      <td>1.170</td>\n",
       "      <td>0.62</td>\n",
       "      <td>41.380001</td>\n",
       "      <td>80.610001</td>\n",
       "      <td>46.750000</td>\n",
       "      <td>5.50</td>\n",
       "      <td>7.95</td>\n",
       "      <td>1.83</td>\n",
       "      <td>11.69</td>\n",
       "      <td>80.889999</td>\n",
       "      <td>520.549988</td>\n",
       "      <td>25.360001</td>\n",
       "      <td>2.49</td>\n",
       "      <td>15.77</td>\n",
       "      <td>7.04</td>\n",
       "      <td>6.24</td>\n",
       "      <td>3.91</td>\n",
       "      <td>40.740002</td>\n",
       "      <td>590.679993</td>\n",
       "      <td>9.32</td>\n",
       "      <td>15095.50</td>\n",
       "      <td>0.0024</td>\n",
       "      <td>3.83</td>\n",
       "      <td>60.860001</td>\n",
       "      <td>0.0071</td>\n",
       "      <td>87.000000</td>\n",
       "      <td>34.380001</td>\n",
       "      <td>3.03</td>\n",
       "      <td>117.300003</td>\n",
       "      <td>4.75</td>\n",
       "      <td>13.91</td>\n",
       "      <td>60.169998</td>\n",
       "      <td>189.889999</td>\n",
       "      <td>203.660004</td>\n",
       "      <td>119.730003</td>\n",
       "      <td>29.660000</td>\n",
       "      <td>1.30</td>\n",
       "      <td>24.719999</td>\n",
       "      <td>213.750000</td>\n",
       "      <td>47.779999</td>\n",
       "      <td>10.53</td>\n",
       "      <td>2.69</td>\n",
       "      <td>14.69</td>\n",
       "      <td>45.279999</td>\n",
       "      <td>2.32</td>\n",
       "      <td>2.23</td>\n",
       "      <td>5.13</td>\n",
       "      <td>7.70</td>\n",
       "      <td>2.42</td>\n",
       "      <td>3.81</td>\n",
       "      <td>9.91</td>\n",
       "      <td>1.92</td>\n",
       "      <td>18.26</td>\n",
       "      <td>98.059998</td>\n",
       "      <td>68.050003</td>\n",
       "      <td>52.619999</td>\n",
       "      <td>1.620</td>\n",
       "      <td>32.310001</td>\n",
       "      <td>386.359985</td>\n",
       "      <td>63.060001</td>\n",
       "      <td>2.50</td>\n",
       "      <td>7.16</td>\n",
       "      <td>7.10</td>\n",
       "      <td>241.800003</td>\n",
       "      <td>5.48</td>\n",
       "      <td>22.320000</td>\n",
       "      <td>263.940002</td>\n",
       "      <td>1.660000</td>\n",
       "      <td>1.04</td>\n",
       "      <td>12.60</td>\n",
       "      <td>0.052</td>\n",
       "      <td>3.80</td>\n",
       "      <td>1.57</td>\n",
       "      <td>275.510010</td>\n",
       "      <td>164.229996</td>\n",
       "      <td>100.650002</td>\n",
       "      <td>1.42</td>\n",
       "      <td>80.470001</td>\n",
       "      <td>16.879999</td>\n",
       "      <td>44.700001</td>\n",
       "      <td>7.27</td>\n",
       "      <td>19.930000</td>\n",
       "      <td>20.110001</td>\n",
       "      <td>3.21</td>\n",
       "      <td>39.919998</td>\n",
       "      <td>1.09</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.41</td>\n",
       "      <td>92.349998</td>\n",
       "      <td>0.674</td>\n",
       "      <td>3.74</td>\n",
       "      <td>102.370003</td>\n",
       "      <td>6.40</td>\n",
       "      <td>18.760000</td>\n",
       "      <td>5.82</td>\n",
       "      <td>3.65</td>\n",
       "      <td>89.959999</td>\n",
       "      <td>4.80</td>\n",
       "      <td>8.15</td>\n",
       "      <td>30.520000</td>\n",
       "      <td>88.500000</td>\n",
       "      <td>11.00</td>\n",
       "      <td>7.13</td>\n",
       "      <td>14.06</td>\n",
       "      <td>0.0098</td>\n",
       "      <td>60.060001</td>\n",
       "      <td>610.859985</td>\n",
       "      <td>9.35</td>\n",
       "      <td>1.89</td>\n",
       "      <td>2.96</td>\n",
       "      <td>250.649994</td>\n",
       "      <td>0.72</td>\n",
       "      <td>31.309999</td>\n",
       "      <td>0.94</td>\n",
       "      <td>3.81</td>\n",
       "      <td>2.400</td>\n",
       "      <td>1.10</td>\n",
       "      <td>12.210</td>\n",
       "      <td>24.91</td>\n",
       "      <td>0.71</td>\n",
       "      <td>247.429993</td>\n",
       "      <td>25.077000</td>\n",
       "      <td>0.008797</td>\n",
       "      <td>112.489998</td>\n",
       "      <td>36.990002</td>\n",
       "      <td>0.45</td>\n",
       "      <td>1.05</td>\n",
       "      <td>87.580002</td>\n",
       "      <td>48.369999</td>\n",
       "      <td>29.070000</td>\n",
       "      <td>1.42</td>\n",
       "      <td>17.250000</td>\n",
       "      <td>0.11</td>\n",
       "      <td>41.090000</td>\n",
       "      <td>52.470001</td>\n",
       "      <td>82.519997</td>\n",
       "      <td>146.369995</td>\n",
       "      <td>3.37</td>\n",
       "      <td>17.370001</td>\n",
       "      <td>119.050003</td>\n",
       "      <td>3.91</td>\n",
       "      <td>6.92</td>\n",
       "      <td>1.06</td>\n",
       "      <td>295.279999</td>\n",
       "      <td>74.379997</td>\n",
       "      <td>8.56</td>\n",
       "      <td>10.00</td>\n",
       "      <td>160.990005</td>\n",
       "      <td>9.76</td>\n",
       "      <td>50.330002</td>\n",
       "      <td>0.0490</td>\n",
       "      <td>23.030001</td>\n",
       "      <td>1525.060059</td>\n",
       "      <td>7.77</td>\n",
       "      <td>6.50</td>\n",
       "      <td>9.89</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>5.02</td>\n",
       "      <td>75.980003</td>\n",
       "      <td>98.919998</td>\n",
       "      <td>14.31</td>\n",
       "      <td>0.009</td>\n",
       "      <td>19.500000</td>\n",
       "      <td>15.78</td>\n",
       "      <td>144.660004</td>\n",
       "      <td>0.100</td>\n",
       "      <td>28.139999</td>\n",
       "      <td>15115.0</td>\n",
       "      <td>275.100006</td>\n",
       "      <td>0.17</td>\n",
       "      <td>5.55</td>\n",
       "      <td>72.589996</td>\n",
       "      <td>132.330002</td>\n",
       "      <td>1.50</td>\n",
       "      <td>0.077</td>\n",
       "      <td>79.800003</td>\n",
       "      <td>1.40</td>\n",
       "      <td>21.320000</td>\n",
       "      <td>216.289993</td>\n",
       "      <td>23.129999</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>92.150002</td>\n",
       "      <td>9.00</td>\n",
       "      <td>26.400000</td>\n",
       "      <td>19.090000</td>\n",
       "      <td>3.120</td>\n",
       "      <td>27.959999</td>\n",
       "      <td>13.00</td>\n",
       "      <td>57.709999</td>\n",
       "      <td>24.67</td>\n",
       "      <td>3.62</td>\n",
       "      <td>149.259995</td>\n",
       "      <td>19.350000</td>\n",
       "      <td>6.70</td>\n",
       "      <td>126.870003</td>\n",
       "      <td>1.874</td>\n",
       "      <td>23.520000</td>\n",
       "      <td>1.69</td>\n",
       "      <td>107.139999</td>\n",
       "      <td>0.69</td>\n",
       "      <td>1.910</td>\n",
       "      <td>89.360001</td>\n",
       "      <td>22.080000</td>\n",
       "      <td>27.870001</td>\n",
       "      <td>119.889999</td>\n",
       "      <td>4.16</td>\n",
       "      <td>99.400002</td>\n",
       "      <td>1.40</td>\n",
       "      <td>20.980000</td>\n",
       "      <td>29.309999</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>699.099976</td>\n",
       "      <td>136.080002</td>\n",
       "      <td>81.400002</td>\n",
       "      <td>2.22</td>\n",
       "      <td>1.05</td>\n",
       "      <td>41.240002</td>\n",
       "      <td>67.370003</td>\n",
       "      <td>0.95</td>\n",
       "      <td>192.960007</td>\n",
       "      <td>315.380005</td>\n",
       "      <td>8.60</td>\n",
       "      <td>352.989990</td>\n",
       "      <td>415.119995</td>\n",
       "      <td>0.013</td>\n",
       "      <td>213.330002</td>\n",
       "      <td>1.38</td>\n",
       "      <td>17.85</td>\n",
       "      <td>3.08</td>\n",
       "      <td>46.060001</td>\n",
       "      <td>46.970001</td>\n",
       "      <td>23.070000</td>\n",
       "      <td>338.820007</td>\n",
       "      <td>7.08</td>\n",
       "      <td>80.620003</td>\n",
       "      <td>14.70</td>\n",
       "      <td>4.13</td>\n",
       "      <td>6.18</td>\n",
       "      <td>17.299999</td>\n",
       "      <td>6.12</td>\n",
       "      <td>349.0</td>\n",
       "      <td>16.00</td>\n",
       "      <td>18.080000</td>\n",
       "      <td>3.17</td>\n",
       "      <td>36.680000</td>\n",
       "      <td>0.43</td>\n",
       "      <td>10.60</td>\n",
       "      <td>58.189999</td>\n",
       "      <td>200.669998</td>\n",
       "      <td>51.869999</td>\n",
       "      <td>43.608002</td>\n",
       "      <td>3.05</td>\n",
       "      <td>2.78</td>\n",
       "      <td>8.75</td>\n",
       "      <td>13.54</td>\n",
       "      <td>3.31</td>\n",
       "      <td>55.220001</td>\n",
       "      <td>263.820007</td>\n",
       "      <td>55.669998</td>\n",
       "      <td>235.720001</td>\n",
       "      <td>68.760002</td>\n",
       "      <td>3.12</td>\n",
       "      <td>267.679993</td>\n",
       "      <td>133.139999</td>\n",
       "      <td>19.969999</td>\n",
       "      <td>154.649994</td>\n",
       "      <td>5.94</td>\n",
       "      <td>16.50</td>\n",
       "      <td>27.370001</td>\n",
       "      <td>6.94</td>\n",
       "      <td>124.570000</td>\n",
       "      <td>31.219999</td>\n",
       "      <td>3.87</td>\n",
       "      <td>23.950001</td>\n",
       "      <td>1.32</td>\n",
       "      <td>3.53</td>\n",
       "      <td>39.150002</td>\n",
       "      <td>0.21000</td>\n",
       "      <td>49.080002</td>\n",
       "      <td>101.150002</td>\n",
       "      <td>562.270020</td>\n",
       "      <td>128.619995</td>\n",
       "      <td>14.270000</td>\n",
       "      <td>54.990002</td>\n",
       "      <td>2.27</td>\n",
       "      <td>383.470001</td>\n",
       "      <td>7.99</td>\n",
       "      <td>0.774</td>\n",
       "      <td>4.44</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>"
      ],
      "text/plain": [
       "        Date  AACAY  AAOI        AAPL        ABB  ABIO         ABT      AC.TO  \\\n",
       "0 2021-08-02   6.05  7.64  145.520004  36.430000  3.19  120.919998        NaN   \n",
       "1 2021-08-03   6.01  7.62  147.360001  37.099998  3.02  122.120003  24.320000   \n",
       "2 2021-08-04   6.43  7.71  146.949997  37.160000  2.94  121.570000  24.080000   \n",
       "3 2021-08-05   6.30  7.70  147.059998  37.290001  3.10  122.209999  24.860001   \n",
       "4 2021-08-06   6.20  7.15  146.139999  36.980000  3.11  122.169998  25.049999   \n",
       "\n",
       "        ACAD  ACCO      ACINX       ACLS  ACOR   ACRE   ACRS  ACRX  ACTG  \\\n",
       "0  21.000000  8.83  37.570000  38.560001  3.72  14.62  15.08  1.21  5.75   \n",
       "1  21.629999  8.92  37.779999  39.070000  3.87  14.52  14.91  1.20  5.64   \n",
       "2  21.049999  8.64  37.910000  38.709999  3.75  14.40  14.31  1.15  5.63   \n",
       "3  19.250000  8.77  37.959999  43.650002  4.10  14.56  14.76  1.20  5.81   \n",
       "4  19.180000  8.93  37.509998  45.560001  3.65  14.63  14.90  1.24  5.92   \n",
       "\n",
       "   ACUR  ADAP  ADMA  ADMP  ADMS         ADP       ADUS   ADXN   ADXS  AEHR  \\\n",
       "0  0.60  3.58  1.59  1.11  5.00  209.449997  85.110001  9.080  0.440  5.73   \n",
       "1  0.53  3.48  1.58  1.06  5.29  213.440002  94.699997  9.825  0.429  5.67   \n",
       "2  0.53  3.44  1.51  1.03  5.24  212.000000  92.000000  9.845  0.430  5.45   \n",
       "3  0.53  3.53  1.57  1.03  5.35  213.289993  89.419998  9.930  0.436  5.67   \n",
       "4  0.53  3.49  1.58  1.03  5.27  213.000000  91.400002  9.870  0.431  5.85   \n",
       "\n",
       "   AEMD   AERI   AEYE  AFMD  AGEN       AGIO  AGRX  AGTC  AGY.L  AKBA  AKTX  \\\n",
       "0  5.07  15.87  13.63  6.91  5.29  48.189999  1.22  3.64  26.85  2.60  1.64   \n",
       "1  4.83  15.25  13.70  6.89  5.45  47.119999  1.17  3.63  28.50  2.57  1.63   \n",
       "2  5.54  15.00  13.22  6.86  5.57  46.549999  1.18  3.56  29.50  2.48  1.62   \n",
       "3  5.30  15.01  13.59  6.98  5.67  46.369999  1.10  3.70  29.50  2.87  1.69   \n",
       "4  5.21  15.22  13.84  6.76  5.63  46.049999  1.11  3.74  28.75  2.74  1.67   \n",
       "\n",
       "   ALDX        ALGN  ALIM         ALL        ALNY  ALPN       ALRM  \\\n",
       "0  9.02  700.000000  8.89  129.759995  177.960007  8.41  84.330002   \n",
       "1  8.95  701.340027  8.57  130.710007  178.809998  8.40  85.989998   \n",
       "2  8.84  708.010010  8.63  128.929993  183.440002  8.19  84.029999   \n",
       "3  9.57  699.219971  8.59  127.930000  193.899994  8.50  85.410004   \n",
       "4  9.82  693.669983  8.12  130.820007  195.229996  8.86  90.279999   \n",
       "\n",
       "         AMBA   AMBO        AMGN   AMMJ  AMNL  AMPE  AMRN   AMRS   AMSC  \\\n",
       "0   97.769997  1.680  239.789993  0.136  0.02  1.36  4.22  14.46  13.87   \n",
       "1   97.059998  1.640  244.080002  0.134  0.02  1.32  4.30  14.40  13.50   \n",
       "2   97.900002  1.680  228.309998  0.129  0.02  1.21  4.44  14.15  12.99   \n",
       "3  101.809998  1.664  233.990005  0.121  0.02  1.45  4.86  14.46  12.54   \n",
       "4  102.760002  1.620  230.149994  0.122  0.02  1.51  4.93  14.54  12.69   \n",
       "\n",
       "          AMZN  ANAC   ANGI       ANIP  ANTE   AOSL  APDN        APPF   AQB  \\\n",
       "0  3331.479980  9.75  11.44  33.369999  2.26  26.00  5.43  140.850006  4.87   \n",
       "1  3366.239990  9.70  11.13  34.009998  2.22  26.02  6.81  138.559998  4.74   \n",
       "2  3354.719971  9.71  11.20  32.669998  2.21  25.60  6.46  140.449997  4.57   \n",
       "3  3375.989990  9.71  11.76  33.340000  2.40  25.83  6.56  140.929993  4.90   \n",
       "4  3344.939941  9.71  11.21  33.060001  2.41  26.52  6.80  138.779999  4.96   \n",
       "\n",
       "   ARDX        ARGX    ARI       ARNA   ARRY  ART.V       ARWR        ASND  \\\n",
       "0  1.68  308.760010  15.08  60.490002  12.96    NaN  68.010002  120.339996   \n",
       "1  1.64  311.500000  15.35  60.430000  13.46   0.22  66.750000  122.500000   \n",
       "2  1.60  308.880005  15.01  59.369999  13.44   0.22  66.120003  123.660004   \n",
       "3  1.65  310.329987  15.32  62.099998  13.74   0.22  68.050003  124.639999   \n",
       "4  1.60  313.109985  15.39  55.160000  13.62   0.21  64.790001  123.730003   \n",
       "\n",
       "        ASPN    ASTI  ASUR   ATEC   ATEN  ATGN  ATHN  ATHX  ATNF  ATNM  ATOS  \\\n",
       "0  36.849998  0.0177  9.40  14.88  13.19  1.96  9.86  1.55  7.70  6.91  2.91   \n",
       "1  37.820000  0.0162  9.29  14.27  13.01  1.95  9.87  1.48  7.56  6.91  2.89   \n",
       "2  36.799999  0.0170  9.35  15.23  13.24  1.98  9.90  1.48  7.17  6.64  3.15   \n",
       "3  37.360001  0.0188  9.33  13.84  13.51  1.95  9.86  1.54  7.29  6.94  3.33   \n",
       "4  36.599998  0.0212  9.37  14.01  13.23  1.95  9.86  1.60  7.95  6.92  3.38   \n",
       "\n",
       "    ATRA       ATRC    ATTBF   AUSI        AVA  AVEO   AVGR  AXDX       AXGN  \\\n",
       "0  12.92  84.250000  0.01000  0.337  42.959999  5.25  0.965  7.24  20.379999   \n",
       "1  12.59  83.519997  0.00935  0.367  44.240002  5.22  0.943  7.59  19.850000   \n",
       "2  12.40  81.879997  0.00950  0.409  42.770000  5.24  0.930  6.93  19.299999   \n",
       "3  12.87  81.470001  0.00940  0.345  43.130001  5.50  0.946  7.33  19.360001   \n",
       "4  12.64  83.750000  0.01275  0.345  42.669998  5.95  0.940  7.05  18.250000   \n",
       "\n",
       "        AXSM        AZPN        BA.L        BABA     BB  BCLI   BCOV  \\\n",
       "0  50.320000  145.649994  582.599976  200.089996  10.10  4.09  11.52   \n",
       "1  49.180000  145.039993  574.799988  197.380005  10.17  3.76  11.61   \n",
       "2  49.349998  145.600006  576.000000  200.710007   9.87  3.77  11.41   \n",
       "3  50.660000  146.529999  576.400024  199.279999  10.43  3.94  11.49   \n",
       "4  51.160000  147.970001  574.799988  196.389999  10.29  3.96  11.44   \n",
       "\n",
       "        BCRX  BDSI   BERI   BFLY  BGO.L        BIDU  BIOC  BIOL         BK  \\\n",
       "0  16.100000  3.83  0.507  10.71  213.5  166.610001  4.10  0.57  51.279999   \n",
       "1  16.760000  3.90  0.461  10.38  213.5  164.089996  3.95  0.58  52.000000   \n",
       "2  16.260000  3.75  0.461  10.17  210.0  163.820007  3.96  0.56  51.490002   \n",
       "3  17.650000  3.74  0.497  10.57  212.5  165.860001  4.00  0.56  51.799999   \n",
       "4  17.610001  3.75  0.400  10.44  215.0  164.259995  4.07  0.59  53.160000   \n",
       "\n",
       "   BLCM   BLDP  BLIN  BLRX       BLUE        BMY  BNED   BNFT  BODY  BOSC  \\\n",
       "0  3.09  15.84  5.92  3.24  16.580311  68.019997  8.19  13.06  9.53  3.94   \n",
       "1  3.03  15.63  5.73  3.23  16.262953  69.309998  7.96  12.87  9.19  3.87   \n",
       "2  2.94  15.22  5.32  3.03  16.191710  68.489998  7.69  11.62  8.64  3.84   \n",
       "3  3.08  15.23  5.41  3.15  16.755180  68.419998  7.98  11.50  8.66  3.91   \n",
       "4  3.22  15.49  5.00  3.15  16.211140  68.120003  8.08  11.56  8.86  3.92   \n",
       "\n",
       "         BOX       BPMC  BPTH          BR   BTCS    BTU  BVXV  BWAY    BYOC  \\\n",
       "0  24.400000  86.980003  6.50  173.389999  0.560  11.70  2.88  9.00  0.0012   \n",
       "1  24.530001  85.989998  6.47  174.990005  0.530  11.39  2.89  8.60  0.0013   \n",
       "2  24.389999  86.989998  6.39  174.039993  0.540  11.01  2.77  8.37  0.0014   \n",
       "3  24.620001  89.680000  6.58  173.929993  0.541  11.66  2.75  7.95  0.0014   \n",
       "4  24.770000  95.489998  6.77  173.369995  0.577  12.35  2.72  7.99  0.0013   \n",
       "\n",
       "        BZUN        CAH  CALA       CALB       CALX   CAMP  CANF   CARA  \\\n",
       "0  25.459999  59.570000  1.99  17.860001  45.459999  12.08  2.09  12.15   \n",
       "1  24.980000  59.630001  2.04  17.750000  46.029999  12.03  2.08  11.67   \n",
       "2  24.389999  58.980000  1.90  17.790001  44.860001  11.76  2.07  11.55   \n",
       "3  24.299999  50.570000  2.13  17.719999  44.810001  11.81  2.12  12.50   \n",
       "4  23.879999  50.990002  2.30  17.700001  45.700001  12.08  2.12  12.78   \n",
       "\n",
       "         CASY       CATC  CBAY       CBSH  CCE.V       CCOI   CCXI       CDNA  \\\n",
       "0  196.789993  82.250000  3.98  66.457146    NaN  77.279999  14.89  82.250000   \n",
       "1  197.250000  84.459999  3.90  65.238098   0.24  77.820000  15.11  82.010002   \n",
       "2  192.929993  83.099998  3.85  65.095238   0.23  74.559998  15.32  82.029999   \n",
       "3  196.220001  84.239998  3.93  65.666664   0.23  75.489998  15.69  84.389999   \n",
       "4  195.449997  85.000000  3.93  67.447617   0.23  77.959999  15.25  81.540001   \n",
       "\n",
       "         CDR  CDTX         CDW  CDXC       CDXS  CERS       CFBK  CFMS  CHEK  \\\n",
       "0  16.700001  1.61  183.669998  8.92  21.320000  5.11  18.650000  1.57  1.11   \n",
       "1  16.620001  1.71  185.289993  8.73  21.610001  5.13  18.850000  1.64  1.10   \n",
       "2  16.660000  1.70  188.240005  8.26  21.600000  6.19  19.330000  1.53  1.09   \n",
       "3  17.250000  1.69  190.619995  8.73  22.650000  6.24  19.549999  1.56  1.09   \n",
       "4  18.139999  1.67  190.050003  8.74  25.320000  6.23  19.240000  1.42  1.13   \n",
       "\n",
       "        CHGG        CHKP   CHRS        CHTR  CIDM       CLDX  CLSN  CLVS  \\\n",
       "0  89.470001  125.910004  13.10  749.869995  1.70  43.700001  1.12  4.92   \n",
       "1  88.459999  127.169998  13.21  770.020020  1.52  44.889999  1.07  4.86   \n",
       "2  88.559998  126.080002  12.79  770.000000  1.50  44.840000  1.05  4.82   \n",
       "3  87.180000  125.510002  12.96  769.909973  1.58  47.700001  1.07  5.06   \n",
       "4  83.949997  124.459999  13.02  770.090027  1.55  47.599998  1.09  4.97   \n",
       "\n",
       "       CMCSA  CMRX        CNC  CNCE  CNET        CNS       CODI       COLL  \\\n",
       "0  58.470001  6.86  70.309998  3.42  1.59  83.449997  24.879999  24.959999   \n",
       "1  58.230000  6.66  69.330002  3.35  1.58  84.279999  25.209999  25.250000   \n",
       "2  57.970001  6.48  69.089996  3.31  1.53  84.900002  25.250000  24.940001   \n",
       "3  58.340000  6.73  67.230003  3.56  1.58  86.360001  26.040001  24.840000   \n",
       "4  58.689999  6.72  66.800003  3.50  1.68  87.290001  26.370001  20.540001   \n",
       "\n",
       "        COMM  CORR       CORT  COTY  CRIS         CRL         CRM  CRMD  CRNT  \\\n",
       "0  20.459999  5.39  21.020000  8.53  7.72  405.600006  240.860001  6.01  4.10   \n",
       "1  20.879999  5.37  21.580000  8.53  6.99  411.239990  241.130005  5.90  4.19   \n",
       "2  20.690001  5.17  21.570000  8.07  7.19  416.309998  244.169998  5.77  3.88   \n",
       "3  16.410000  5.07  21.639999  8.50  7.25  409.970001  250.559998  5.98  3.99   \n",
       "4  16.540001  5.25  21.830000  8.60  6.94  408.410004  250.589996  6.01  4.13   \n",
       "\n",
       "         CROX       CRSR       CRSS       CRTO    CRWG        CRY   CSBR  \\\n",
       "0  136.639999  28.980000  25.680000  38.680000  0.0119  26.950001  10.50   \n",
       "1  137.089996  27.129999  25.600000  40.349998  0.0108  26.969999  10.62   \n",
       "2  140.429993  27.400000  25.750000  39.740002  0.0103  26.719999  10.49   \n",
       "3  141.910004  28.330000  25.200001  39.090000  0.0092  27.170000  10.77   \n",
       "4  140.809998  28.080000  24.500000  38.720001  0.0084  27.309999  10.55   \n",
       "\n",
       "        CSCO       CSGS       CSII       CSIQ  CSLT        CSX  CTHR  CTMX  \\\n",
       "0  55.450001  44.799999  38.240002  39.869999  2.22  32.090000  2.73  5.61   \n",
       "1  56.250000  44.910000  37.570000  41.599998  2.10  32.430000  2.67  5.74   \n",
       "2  55.689999  44.470001  37.939999  41.410000  2.06  31.920000  2.60  5.58   \n",
       "3  55.759998  45.980000  39.380001  40.060001  1.89  32.150002  2.59  5.79   \n",
       "4  55.590000  46.060001  38.950001  40.009998  1.98  32.299999  2.62  5.25   \n",
       "\n",
       "        CUBE  CVAT   CVM    CVT   CWR.L  CXDO        CYBR  CYCC  CYDY  CYRN  \\\n",
       "0  49.910000  0.08  8.15  9.865  1020.0  6.06  142.369995  5.21  1.54  0.61   \n",
       "1  50.369999  0.08  8.31  9.860  1014.0  6.31  142.809998  5.00  1.47  0.59   \n",
       "2  50.220001  0.08  8.83  9.870  1011.0  6.28  143.360001  4.99  1.40  0.59   \n",
       "3  50.310001  0.08  9.25  9.860   973.0  6.03  141.460007  5.08  1.34  0.59   \n",
       "4  50.139999  0.09  9.17  9.860  1024.0  6.05  139.309998  5.08  1.32  0.58   \n",
       "\n",
       "    CYTK  CYTR         DD        DDD  DGLY         DGX    DIGP       DIOD  \\\n",
       "0  28.77  0.75  74.650002  27.510000  1.61  143.039993  0.0457  82.430000   \n",
       "1  28.83  0.76  74.389999  26.600000  1.56  145.360001  0.0496  84.199997   \n",
       "2  29.51  0.75  74.260002  26.290001  1.54  146.710007  0.0478  86.379997   \n",
       "3  30.24  0.78  74.209999  28.070000  1.55  147.300003  0.0455  87.379997   \n",
       "4  31.82  0.75  76.070000  27.660000  1.53  146.600006  0.0493  89.989998   \n",
       "\n",
       "          DKS         DQ   DRIO       DRNA  DRRX   DSS   DTEA        DXCM  \\\n",
       "0  105.139999  61.029999  14.77  36.939999  1.39  1.40  3.590  511.350006   \n",
       "1  108.250000  60.840000  14.40  36.900002  1.35  1.37  3.549  521.219971   \n",
       "2  104.690002  59.770000  14.01  37.299999  1.30  1.31  3.510  514.530029   \n",
       "3  107.779999  58.560001  14.68  37.919998  1.35  1.35  3.670  523.929993   \n",
       "4  107.550003  58.150002  14.83  27.250000  1.37  1.32  3.730  516.640015   \n",
       "\n",
       "   DYAI  DYNT       EBAY       EBIX        EBS       ECHO       ECOM  EDTXF  \\\n",
       "0  3.46  1.35  68.629997  30.160000  63.720001  30.590000  23.170000  0.300   \n",
       "1  3.34  1.28  68.010002  30.370001  63.380001  31.950001  23.290001  0.300   \n",
       "2  3.56  1.29  68.000000  29.730000  62.040001  30.950001  22.690001  0.300   \n",
       "3  3.60  1.29  67.279999  30.110001  61.549999  30.629999  24.450001  0.299   \n",
       "4  3.69  1.24  65.489998  30.309999  60.810001  31.230000  24.440001  0.291   \n",
       "\n",
       "   EFOI         EFX       EGHT       EGRX  EKSO  ELTP  EMKR     ENA.V  \\\n",
       "0  3.85  258.489990  25.969999  47.360001  4.94  0.05  8.63       NaN   \n",
       "1  3.96  259.690002  25.790001  47.950001  5.08  0.05  8.51  2.400000   \n",
       "2  3.86  256.089996  24.760000  46.540001  4.90  0.05  8.24  2.889494   \n",
       "3  3.87  255.809998  25.570000  46.470001  5.09  0.04  9.15  3.289494   \n",
       "4  3.86  253.830002  25.340000  45.770000  5.04  0.04  9.04  3.600000   \n",
       "\n",
       "         ENB        ENPH       ENTA        ENV        EPAM       EPAY  \\\n",
       "0  39.070000  183.110001  42.549999  74.900002  558.400024  38.580002   \n",
       "1  39.470001  192.619995  43.099998  74.360001  571.210022  40.230000   \n",
       "2  39.180000  193.929993  42.480000  74.339996  569.080017  39.639999   \n",
       "3  39.509998  183.449997  46.250000  74.440002  589.659973  40.680000   \n",
       "4  39.540001  179.740005  44.849998  76.510002  598.020020  41.680000   \n",
       "\n",
       "      EPAZ  EPZM        EQIX        ESE   ESPR      ESYL    ETEK        ETSY  \\\n",
       "0  0.01133  6.52  818.989990  93.190002  14.99  0.003200  0.0013  188.889999   \n",
       "1  0.01118  6.56  820.309998  93.199997  14.27  0.003200  0.0013  190.460007   \n",
       "2  0.01260  6.46  828.340027  91.330002  14.00  0.002874  0.0011  202.100006   \n",
       "3  0.01350  6.59  830.619995  92.680000  15.00  0.002305  0.0011  182.410004   \n",
       "4  0.01300  6.47  820.150024  93.690002  14.21  0.002000  0.0010  178.360001   \n",
       "\n",
       "    EVC        EVH  EVOK        EXAS  EYEG       FATE          FB  FCEL  FENG  \\\n",
       "0  6.05  22.639999  1.14  108.400002  2.41  85.080002  351.950012  6.33  1.38   \n",
       "1  5.88  23.080000  1.12  104.209999  2.62  83.250000  351.239990  6.20  1.38   \n",
       "2  5.81  22.700001  1.08  105.830002  2.33  85.730003  358.920013  5.98  1.38   \n",
       "3  6.15  23.879999  1.10  108.019997  2.38  95.540001  362.970001  6.19  1.40   \n",
       "4  6.69  23.820000  1.08  102.000000  2.24  95.419998  363.510010  6.33  1.40   \n",
       "\n",
       "         FIVE        FIVN  FLDM       FLEX         FLT  FLXN        FMS  \\\n",
       "0  194.039993  201.889999  6.91  17.830000  253.979996  6.25  38.360001   \n",
       "1  194.820007  199.399994  7.00  17.730000  251.289993  6.04  39.980000   \n",
       "2  194.809998  209.699997  6.87  17.660000  247.600006  5.79  39.930000   \n",
       "3  200.429993  208.220001  6.83  17.549999  260.790009  6.50  39.970001   \n",
       "4  203.600006  201.679993  6.39  17.790001  267.049988  5.70  39.430000   \n",
       "\n",
       "    FOLD       FORM  FPAY       FSLR        FTNT         FV  GALT  GAME  GBLX  \\\n",
       "0   9.40  37.889999  2.63  88.269997  284.619995  47.400002  3.17  6.26  0.05   \n",
       "1   9.33  37.860001  2.65  92.339996  297.760010  47.730000  2.99  6.01  0.05   \n",
       "2   9.68  38.500000  2.73  92.209999  304.019989  47.389999  3.15  5.75  0.05   \n",
       "3  10.06  38.299999  2.68  91.620003  300.019989  47.700001  3.16  6.02  0.05   \n",
       "4  10.50  38.650002  2.73  93.150002  303.679993  47.619999  3.44  6.65  0.04   \n",
       "\n",
       "         GBT  GCEH        GCO          GD       GDOT          GE  GENE  GEOS  \\\n",
       "0  27.750000  5.10  57.299999  195.830002  45.639999  100.599998  3.41  8.80   \n",
       "1  26.889999  5.10  57.400002  197.320007  44.840000  103.059998  3.46  8.66   \n",
       "2  32.259998  5.10  52.770000  195.869995  45.520000  102.910004  3.41  8.52   \n",
       "3  33.389999  4.98  55.340000  196.690002  46.849998  103.019997  3.42  8.62   \n",
       "4  33.590000  5.02  56.700001  199.080002  47.820000  104.519997  3.40  9.52   \n",
       "\n",
       "   GERN  GEVO  GIGM       GKOS        GLOB       GLPG  GLYC       GMED  GMVD  \\\n",
       "0  1.25  5.88  2.76  51.009998  235.399994  61.459999  2.01  82.669998  2.66   \n",
       "1  1.22  5.84  2.73  49.410000  238.429993  61.000000  2.03  82.629997  2.61   \n",
       "2  1.22  5.60  2.68  49.160000  242.929993  60.730000  1.97  80.629997  2.82   \n",
       "3  1.28  5.81  2.63  50.959999  250.320007  60.060001  2.15  79.900002  2.74   \n",
       "4  1.25  5.81  2.64  51.020000  258.309998  60.139999  2.06  80.489998  2.70   \n",
       "\n",
       "    GNBT   GOGO         GOOG  GOVX   GPRO       GREE       GRPN       GRUB  \\\n",
       "0  0.228  10.29  2719.790039  4.38  10.00  63.913044  36.130001  18.010000   \n",
       "1  0.220  10.45  2725.600098  4.33  10.07  54.086956  36.720001  17.709999   \n",
       "2  0.217  10.40  2720.570068  4.22   9.88  60.869564  35.840000  17.379999   \n",
       "3  0.210  11.62  2738.800049  4.37  10.07  57.739128  35.630001  17.940001   \n",
       "4  0.218  12.01  2740.719971  4.72  10.09  62.000000  30.610001  18.150000   \n",
       "\n",
       "    GSS   GTHP   GTX  GWTI       HALO       HBCP         HCI     HDII    HDVY  \\\n",
       "0  2.54  0.550  6.86  0.05  40.549999  35.169998  102.290001  0.01741  0.2114   \n",
       "1  2.61  0.500  7.21  0.05  40.299999  35.290001  101.550003  0.01880  0.2000   \n",
       "2  2.46  0.480  7.18  0.05  40.139999  35.480000  100.919998  0.01815  0.1886   \n",
       "3  2.38  0.500  7.32  0.06  40.419998  36.169998   98.330002  0.01753  0.1941   \n",
       "4  2.29  0.547  7.22  0.06  40.500000  36.970001  115.639999  0.01740  0.1950   \n",
       "\n",
       "        HGEN       HOLX         HON        HQY   HRZN        HSKA   HSTM  \\\n",
       "0  15.720000  75.830002  232.419998  74.169998  17.48  250.130005  29.58   \n",
       "1  15.880000  75.739998  232.649994  72.169998  17.27  254.259995  29.98   \n",
       "2  16.000000  76.589996  229.589996  71.970001  17.08  258.380005  29.66   \n",
       "3  16.209999  76.349998  229.880005  73.589996  17.27  262.019989  29.77   \n",
       "4  15.900000  75.940002  229.679993  73.169998  17.15  261.700012  30.24   \n",
       "\n",
       "   HSTO  HTBX  HTGM        HUBS        HZNP       IBTX   ICAD         ICE  \\\n",
       "0  0.89  6.33  6.32  596.000000   99.779999  69.339996  14.14  119.430000   \n",
       "1  0.85  6.36  6.23  583.890015   99.760002  70.459999  14.53  119.120003   \n",
       "2  0.84  6.25  6.27  590.000000  107.510002  69.599998  14.22  119.529999   \n",
       "3  0.85  6.48  6.42  660.000000  106.370003  70.110001  15.40  119.419998   \n",
       "4  0.84  6.67  6.37  659.049988  105.959999  72.099998  11.77  120.000000   \n",
       "\n",
       "     ICLD       ICPT   IDN  IDRA   IGAP  IGXT  IMGN   IMH  IMM.L   IMNPQ  \\\n",
       "0  0.0011  17.350000  9.07  1.05  0.441  0.51  5.72  1.70   8.96  0.0031   \n",
       "1  0.0012  16.639999  8.91  1.11  0.456  0.48  5.65  1.64   8.65  0.0031   \n",
       "2  0.0010  16.520000  9.20  1.04  0.479  0.47  5.52  1.66   8.32  0.0032   \n",
       "3  0.0010  16.870001  8.85  1.07  0.479  0.43  5.69  1.64   8.76  0.0030   \n",
       "4  0.0009  16.620001  8.65  1.06  0.420  0.40  5.71  1.66   9.30  0.0002   \n",
       "\n",
       "   IMUN  INFI   INFN        INFO       INGN        INS       INSM       INST  \\\n",
       "0  3.98  2.93   9.86  117.980003  78.680000  32.939999  24.129999  20.080000   \n",
       "1  3.70  2.66   9.86  117.900002  78.139999  33.020000  24.040001  20.150000   \n",
       "2  3.70  2.66   9.71  117.930000  82.260002  33.189999  24.770000  20.049999   \n",
       "3  3.70  3.00  10.05  119.419998  60.290001  35.540001  25.309999  21.650000   \n",
       "4  3.05  2.98   9.72  119.610001  64.279999  35.599998  25.600000  21.070000   \n",
       "\n",
       "         INTU       INVE  INVO       IONS   IPSI       IPWR   IRWD  \\\n",
       "0  527.510010  15.960000  4.40  37.630001  0.074  15.090000  13.27   \n",
       "1  530.179993  16.360001  4.41  37.810001  0.076  15.860000  13.00   \n",
       "2  536.059998  16.450001  4.32  37.810001  0.075  15.810000  12.94   \n",
       "3  538.010010  17.350000  4.32  39.380001  0.077  16.760000  13.29   \n",
       "4  534.289978  18.180000  4.27  38.799999  0.079  17.450001  13.35   \n",
       "\n",
       "        ITM.L  ITMSF  IWSY  IZEA        JACK  JAGX  JAY.L        JAZZ  \\\n",
       "0  420.000000   0.94  0.05  2.27  107.639999  4.35  9.300  170.710007   \n",
       "1  417.600006   0.87  0.05  2.19  104.860001  4.20  9.000  171.500000   \n",
       "2  399.600006   0.86  0.05  2.17  103.919998  4.08  9.100  153.550003   \n",
       "3  380.399994   0.84  0.04  2.19  101.099998  3.99  9.200  148.490005   \n",
       "4  391.000000   0.83  0.05  2.26  101.400002  4.08  9.335  150.039993   \n",
       "\n",
       "          JD         JNJ       JNPR   JOB         KC   KMPH   KOS  KPTI  \\\n",
       "0  71.489998  172.270004  28.010000  0.46  31.059999  10.30  2.24  8.42   \n",
       "1  70.239998  174.389999  29.049999  0.44  29.240000   9.89  2.21  7.77   \n",
       "2  71.400002  173.360001  28.549999  0.45  28.910000   9.72  2.05  7.82   \n",
       "3  70.739998  173.690002  28.219999  0.47  28.190001   9.78  2.25  5.93   \n",
       "4  69.589996  173.110001  28.389999  0.47  27.850000   9.87  2.29  5.52   \n",
       "\n",
       "       LBTYA         LC  LCTC  LCTX         LEN  LFVN        LGND  LIFE  \\\n",
       "0  26.690001  25.809999  3.40  2.59  105.849998  8.00  110.949997  4.67   \n",
       "1  27.440001  26.059999  3.59  2.61  107.290001  7.99  111.050003  4.55   \n",
       "2  27.660000  27.559999  3.59  2.56  105.440002  7.60  109.059998  4.57   \n",
       "3  27.740000  27.290001  3.59  2.58  105.449997  7.90  108.970001  4.72   \n",
       "4  27.900000  26.910000  3.59  2.55  104.050003  7.52  110.029999  4.70   \n",
       "\n",
       "          LIN  LITB  LIXT  LJPC         LMT      LNVGY       LPSN  LQMT  \\\n",
       "0  300.220001  1.40  2.80  3.61  368.299988  19.530001  63.910000  0.10   \n",
       "1  302.920013  1.35  2.82  3.64  369.450012  19.299999  64.459999  0.11   \n",
       "2  305.619995  1.34  2.46  3.54  361.640015  19.240000  62.310001  0.10   \n",
       "3  304.829987  1.23  2.57  4.09  360.779999  18.889999  62.000000  0.10   \n",
       "4  305.869995  1.26  2.54  3.99  362.049988  18.860001  61.790001  0.10   \n",
       "\n",
       "         LRN  LTRX  LWLG  LXRX  MACK       MARA  MARK  MBII         MCK  MCRB  \\\n",
       "0  30.709999  5.15  7.53  3.65  5.32  28.230000  1.32  1.26  203.570007  7.03   \n",
       "1  31.260000  5.03  8.55  3.61  5.18  27.129999  1.27  1.41  206.419998  6.96   \n",
       "2  30.270000  4.95  8.60  3.41  5.21  28.719999  1.21  1.33  205.369995  7.09   \n",
       "3  30.420000  5.00  8.22  3.59  5.15  31.469999  1.26  1.40  199.669998  6.98   \n",
       "4  30.030001  4.91  8.37  3.56  5.36  34.250000  1.26  1.40  199.929993  6.98   \n",
       "\n",
       "          MD  MDGS  MDWD  MEDS  MEIP     MG       MGIC       MGNX  MGP.L  \\\n",
       "0  29.690001  1.65  3.87  5.19  2.61  10.32  17.379999  25.299999  173.0   \n",
       "1  30.209999  1.55  3.76  5.02  2.54  10.58  17.350000  24.900000  173.0   \n",
       "2  29.700001  1.56  3.66  4.95  2.60  10.39  17.309999  24.780001  173.0   \n",
       "3  30.330000  1.59  3.78  5.18  2.66  10.13  17.750000  25.530001  172.0   \n",
       "4  33.139999  1.53  3.71  5.12  2.78  10.33  17.370001  24.540001  172.0   \n",
       "\n",
       "        MIME    MIMO  MIR.V       MITK  MLSS         MMM        MMS  MMX.L  \\\n",
       "0  55.119999  10.070    NaN  21.580000  2.02  197.520004  88.059998    7.3   \n",
       "1  58.009998  10.070   0.12  21.750000  1.92  201.029999  87.660004    7.3   \n",
       "2  58.930000  10.075   0.12  21.540001  1.84  197.529999  86.139999    7.3   \n",
       "3  58.820000  10.075   0.13  21.680000  1.83  197.800003  84.699997    7.3   \n",
       "4  58.590000  10.030   0.12  21.260000  1.79  198.130005  83.989998    7.3   \n",
       "\n",
       "        MMYT  MNDO  MNKD  MNOV       MNSB  MNTX  MOBQ       MODN  MOGO  \\\n",
       "0  28.150000  3.31  4.03  3.67  23.910000  7.91   7.7  31.790001  5.56   \n",
       "1  26.740000  3.38  3.99  3.70  23.920000  7.44   8.0  31.580000  5.55   \n",
       "2  27.010000  3.35  4.03  3.64  23.629999  7.86   8.0  32.650002  5.46   \n",
       "3  27.850000  3.38  4.20  3.65  24.180000  7.39   8.2  32.810001  5.63   \n",
       "4  28.450001  3.49  4.04  3.68  24.000000  7.49   8.2  32.610001  6.08   \n",
       "\n",
       "          MOH    MOR        MORN        MPWR   MRC  MRIN   MRNS  MTACU  \\\n",
       "0  274.250000  13.97  257.980011  454.459991  8.55  7.13  15.04  10.00   \n",
       "1  277.450012  13.69  262.529999  456.540009  8.66  6.68  13.80  10.00   \n",
       "2  278.790009  13.43  266.179993  466.429993  8.03  5.97  12.80   9.98   \n",
       "3  268.640015  13.72  261.350006  463.480011  8.32  6.15  13.27   9.98   \n",
       "4  265.059998  13.26  261.029999  461.790009  8.40  5.87  12.90   9.95   \n",
       "\n",
       "        MTLS       MTSI         MU       MVBF   MVIS        MXL   MYR=X  MYSZ  \\\n",
       "0  22.360001  61.520000  77.639999  40.330002  13.58  48.470001  4.2190  1.21   \n",
       "1  21.629999  60.919998  80.860001  40.490002  12.47  49.139999  4.2225  1.18   \n",
       "2  22.059999  61.400002  81.980003  39.169998  12.22  50.459999  4.2310  1.16   \n",
       "3  22.510000  61.790001  81.489998  41.299999  13.76  52.220001  4.2195  1.22   \n",
       "4  21.820000  61.939999  82.000000  44.110001  15.44  50.520000  4.2150  1.19   \n",
       "\n",
       "       NA.TO  NAVB    NBIO       NBIX   NBRV   NBY        NCR        NEE  \\\n",
       "0        NaN  1.64  0.0985  95.910004  1.159  0.66  44.369999  78.809998   \n",
       "1  95.750000  1.65  0.0990  97.699997  1.220  0.66  44.160000  79.419998   \n",
       "2  95.379997  1.68  0.1022  93.199997  1.210  0.63  40.209999  79.870003   \n",
       "3  95.739998  1.66  0.0960  92.690002  1.160  0.62  39.680000  80.489998   \n",
       "4  96.339996  1.70  0.0960  89.570000  1.170  0.62  41.380001  80.610001   \n",
       "\n",
       "         NEO  NEON  NEPH  NERV   NETE       NEWR        NFLX        NGM  NILE  \\\n",
       "0  46.080002  5.36  8.80  1.84  12.12  69.000000  515.150024  20.990000  2.34   \n",
       "1  46.189999  5.20  8.90  1.77  11.80  68.320000  510.820007  20.150000  2.33   \n",
       "2  47.490002  5.22  8.36  1.71  11.19  78.830002  517.349976  22.120001  2.40   \n",
       "3  47.709999  5.39  8.43  1.81  11.73  82.470001  524.890015  23.040001  2.44   \n",
       "4  46.750000  5.50  7.95  1.83  11.69  80.889999  520.549988  25.360001  2.49   \n",
       "\n",
       "    NKTR  NLST  NNDM  NNVC       NOAH         NOW  NPTN      NQ=F   NRTSF  \\\n",
       "0  15.96  8.60  6.30  3.93  39.799999  584.669983  9.13  14952.75  0.0015   \n",
       "1  15.80  8.22  6.22  3.76  39.619999  584.659973  8.90  15046.25  0.0015   \n",
       "2  15.62  8.14  6.09  3.85  39.799999  593.469971  9.66  15073.50  0.0015   \n",
       "3  15.87  7.77  6.26  3.91  40.720001  595.500000  9.31  15167.75  0.0015   \n",
       "4  15.77  7.04  6.24  3.91  40.740002  590.679993  9.32  15095.50  0.0024   \n",
       "\n",
       "   NSPR       NSTG   NTCXF        NTES       NTGR  NTIP        NTRA  NTWK  \\\n",
       "0  3.78  61.459999  0.0072  105.040001  33.880001  3.08  112.330002  4.56   \n",
       "1  3.78  62.410000  0.0075   93.059998  34.610001  3.03  110.839996  4.66   \n",
       "2  3.76  63.560001  0.0075   93.019997  34.169998  3.01  114.519997  4.61   \n",
       "3  3.84  61.860001  0.0100   87.709999  34.459999  3.04  119.639999  4.71   \n",
       "4  3.83  60.860001  0.0071   87.000000  34.380001  3.03  117.300003  4.75   \n",
       "\n",
       "    NURO       NUVA        NVAX        NVDA        NVRO       NVTA  NWBO  \\\n",
       "0  13.12  62.799999  182.720001  197.500000  155.130005  28.290001  1.17   \n",
       "1  14.54  60.290001  188.570007  198.149994  151.190002  28.500000  1.13   \n",
       "2  13.26  61.189999  223.809998  202.740005  147.880005  30.920000  1.10   \n",
       "3  14.27  60.250000  236.199997  206.369995  115.070000  30.870001  1.23   \n",
       "4  13.91  60.169998  189.889999  203.660004  119.730003  29.660000  1.30   \n",
       "\n",
       "        NWSA        NXPI        NYT   OCUL   OGI   OMER         ON  ONCS  \\\n",
       "0  24.740000  208.979996  43.459999  11.26  2.59  14.98  43.639999  2.22   \n",
       "1  24.070000  210.529999  43.209999  10.78  2.58  14.78  45.380001  2.16   \n",
       "2  24.330000  212.429993  46.520000  10.51  2.49  14.50  45.669998  2.14   \n",
       "3  24.850000  212.899994  46.910000  10.84  2.67  15.22  44.820000  2.28   \n",
       "4  24.719999  213.750000  47.779999  10.53  2.69  14.69  45.279999  2.32   \n",
       "\n",
       "   ONCY  ONTX  ONVO  OPGN   OPK   OPRA  OPTT   ORMP       OSIS       OSTK  \\\n",
       "0  2.27  5.19  7.95  2.62  3.55   9.79  1.91  14.94  98.080002  67.750000   \n",
       "1  2.27  5.04  7.62  2.40  3.61   9.67  1.90  15.49  98.269997  68.059998   \n",
       "2  2.16  5.01  7.51  2.36  3.62  10.22  1.89  15.10  96.260002  66.000000   \n",
       "3  2.19  5.12  7.89  2.47  3.76   9.80  1.93  17.32  96.449997  69.000000   \n",
       "4  2.23  5.13  7.70  2.42  3.81   9.91  1.92  18.26  98.059998  68.050003   \n",
       "\n",
       "        OTEX   OTIC       PACB        PANW       PATH  PBIO  PBPB  PBYI  \\\n",
       "0  51.880001  1.765  31.240000  400.320007  59.669998  2.82  6.86  7.67   \n",
       "1  51.860001  1.650  30.209999  398.329987  60.549999  2.75  6.88  7.31   \n",
       "2  51.599998  1.690  32.130001  403.329987  62.000000  2.49  7.22  6.85   \n",
       "3  52.169998  1.610  35.020000  403.640015  64.589996  2.60  7.31  6.99   \n",
       "4  52.619999  1.620  32.310001  386.359985  63.060001  2.50  7.16  7.10   \n",
       "\n",
       "         PCTY  PCYG        PEB         PEN      PEYE  PFM.V   PFSW   PHOT  \\\n",
       "0  203.559998  5.53  21.709999  265.290009  1.700000    NaN  12.19  0.054   \n",
       "1  203.449997  5.61  21.680000  262.170013  1.700000   1.11  12.15  0.052   \n",
       "2  214.449997  5.44  21.370001  262.880005  1.708891   1.10  12.50  0.053   \n",
       "3  219.279999  5.54  22.129999  270.149994  1.700000   1.04  13.04  0.051   \n",
       "4  241.800003  5.48  22.320000  263.940002  1.660000   1.04  12.60  0.052   \n",
       "\n",
       "   PIRS  PKT.V        PODD         PPG        PRFT  PRKR       PRLB  \\\n",
       "0  3.52    NaN  278.700012  163.300003   95.370003  1.43  79.379997   \n",
       "1  3.64   1.50  278.859985  165.630005   98.000000  1.36  78.290001   \n",
       "2  3.65   1.49  279.179993  163.809998   99.199997  1.37  79.800003   \n",
       "3  3.76   1.50  280.450012  162.949997  101.120003  1.43  81.489998   \n",
       "4  3.80   1.57  275.510010  164.229996  100.650002  1.42  80.470001   \n",
       "\n",
       "        PRMW        PRO  PRPH       PRTS       PSTG  PSTI       PTCT  PTK.V  \\\n",
       "0  16.450001  43.369999  7.26  17.290001  20.040001  3.33  38.680000    NaN   \n",
       "1  16.490000  42.209999  7.23  17.389999  20.320000  3.27  38.540001   1.11   \n",
       "2  16.240000  42.880001  7.23  17.150000  20.299999  3.15  38.480000   1.11   \n",
       "3  16.830000  44.480000  7.31  16.959999  20.730000  3.15  39.889999   1.10   \n",
       "4  16.879999  44.700001  7.27  19.930000  20.110001  3.21  39.919998   1.09   \n",
       "\n",
       "    PTN  PURE        PWR  PXH.F   PYR        QLYS  QMCO       QNST  QRHC  \\\n",
       "0  0.52  0.40  89.099998  0.696  3.89  102.830002  6.29  18.150000  6.23   \n",
       "1  0.51  0.40  91.180000  0.680  3.66  104.279999  6.33  17.680000  5.97   \n",
       "2  0.50  0.40  89.040001  0.683  3.52  103.970001  6.30  17.680000  5.57   \n",
       "3  0.50  0.41  92.529999  0.662  3.87  105.160004  6.55  19.059999  5.82   \n",
       "4  0.50  0.41  92.349998  0.674  3.74  102.370003  6.40  18.760000  5.82   \n",
       "\n",
       "   QTNT        QTWO  QUAD   QUOT       QURE       RARE   RDCM  RDHL   RDUS  \\\n",
       "0  3.38  100.599998  3.48  10.65  28.950001  80.839996  11.20  6.55  15.04   \n",
       "1  3.43   98.410004  3.59  10.75  29.360001  83.769997  10.96  6.63  14.60   \n",
       "2  3.58   98.820000  3.85  10.83  29.420000  85.449997  10.82  6.99  14.31   \n",
       "3  3.77   92.440002  4.27  10.87  31.110001  90.309998  11.23  7.10  14.04   \n",
       "4  3.65   89.959999  4.80   8.15  30.520000  88.500000  11.00  7.13  14.06   \n",
       "\n",
       "     REFG       REGI        REGN   RENN  REPH  RESN        RGEN  RGLS  \\\n",
       "0  0.0098  58.759998  577.130005  10.60  1.86  3.05  247.869995  0.77   \n",
       "1  0.0070  59.320000  586.510010   9.82  1.96  2.86  249.070007  0.75   \n",
       "2  0.0099  57.470001  580.950012   9.83  1.85  2.78  252.589996  0.73   \n",
       "3  0.0094  61.500000  602.469971   9.15  1.85  2.87  254.669998  0.72   \n",
       "4  0.0098  60.060001  610.859985   9.35  1.89  2.96  250.649994  0.72   \n",
       "\n",
       "        RGNX  RIBT  RIGL   RKDA  RKFL   RKUNF   RMBS  RMTI         RNG  \\\n",
       "0  31.959999  1.01  4.02  2.440  1.16  11.410  23.52  0.74  270.369995   \n",
       "1  32.049999  0.97  3.78  2.415  1.15  11.360  24.49  0.74  269.899994   \n",
       "2  31.549999  0.94  3.73  2.370  1.01  12.000  25.00  0.71  259.660004   \n",
       "3  32.150002  0.94  3.89  2.400  1.09  12.355  25.01  0.71  249.869995   \n",
       "4  31.309999  0.94  3.81  2.400  1.10  12.210  24.91  0.71  247.429993   \n",
       "\n",
       "        ROAM     ROXIF         RPD       RPRX  RPX.V  RSASF        RTX  \\\n",
       "0  24.989000  0.015900  115.599998  37.209999    NaN   1.08  86.610001   \n",
       "1  25.150000  0.013763  115.360001  37.680000   0.50   1.05  87.970001   \n",
       "2  25.313000  0.011867  116.459999  36.740002   0.46   1.03  85.820000   \n",
       "3  25.327999  0.010211  113.760002  37.250000   0.45   1.04  86.879997   \n",
       "4  25.077000  0.008797  112.489998  36.990002   0.45   1.05  87.580002   \n",
       "\n",
       "         RUN       RVNC  RWLK        RXT  RYU.V       SAGE        SAH  \\\n",
       "0  51.200001  29.280001  1.47  17.840000    NaN  43.369999  56.169998   \n",
       "1  53.590000  30.150000  1.43  17.260000   0.12  41.759998  54.570000   \n",
       "2  52.810001  29.320000  1.42  17.040001   0.12  41.650002  50.980000   \n",
       "3  53.450001  29.830000  1.45  17.129999   0.12  43.209999  52.009998   \n",
       "4  48.369999  29.070000  1.42  17.250000   0.11  41.090000  52.470001   \n",
       "\n",
       "        SAIC         SAP    SB      SBRCY        SBUX  SCOR  SCYX  SEAC  \\\n",
       "0  87.099998  143.320007  3.44  16.770000  120.370003  4.05  6.87  1.10   \n",
       "1  83.690002  145.539993  3.41  16.950001  119.129997  3.94  6.91  1.07   \n",
       "2  82.360001  146.389999  3.27  16.959999  118.250000  3.86  6.65  1.06   \n",
       "3  82.400002  148.940002  3.42  17.230000  119.029999  3.95  6.98  1.06   \n",
       "4  82.519997  146.369995  3.37  17.370001  119.050003  3.91  6.92  1.06   \n",
       "\n",
       "         SEDG       SFBS   SFT   SFUN        SGEN  SGMO       SGRY    SGTB  \\\n",
       "0  257.720001  70.720001  8.56   9.76  154.240005  9.63  54.540001  0.0359   \n",
       "1  299.809998  71.660004  8.28   9.94  158.190002  9.58  56.419998  0.0500   \n",
       "2  292.730011  71.089996  8.19   9.99  163.210007  9.46  47.980000  0.0488   \n",
       "3  286.390015  71.680000  8.27   9.99  162.199997  9.97  49.040001  0.0440   \n",
       "4  295.279999  74.379997  8.56  10.00  160.990005  9.76  50.330002  0.0490   \n",
       "\n",
       "         SHC         SHOP  SIEN  SIRI   SLCA        SMLR  SMSI       SNAP  \\\n",
       "0  23.330000  1538.670044  7.99  6.49   9.84  118.199997  5.68  73.500000   \n",
       "1  23.190001  1522.560059  7.72  6.45  10.35  114.800003  5.20  73.379997   \n",
       "2  23.240000  1555.520020  7.64  6.43   9.34  115.519997  5.00  76.900002   \n",
       "3  23.160000  1545.550049  7.74  6.51   9.58  115.000000  5.30  77.320000   \n",
       "4  23.030001  1525.060059  7.77  6.50   9.89  115.000000  5.02  75.980003   \n",
       "\n",
       "        SNBR   SNDX   SNWR       SOHU    SPH        SPLK  SPN.V       SPNS  \\\n",
       "0  99.230003  14.98  0.009  20.500000  15.90  141.690002    NaN  25.180000   \n",
       "1  97.500000  14.41  0.007  19.719999  15.80  140.600006  0.110  25.080000   \n",
       "2  97.250000  13.87  0.008  20.120001  15.35  141.199997  0.105  27.160000   \n",
       "3  99.730003  14.20  0.007  20.080000  15.53  146.509995  0.100  28.350000   \n",
       "4  98.919998  14.31  0.009  19.500000  15.78  144.660004  0.100  28.139999   \n",
       "\n",
       "     SPX.L          SQ  SQD.V  SQNS         SR         SRE  SREV   SRNA  \\\n",
       "0  15195.0  272.380005    NaN  5.43  71.650002  131.250000  1.58  0.073   \n",
       "1  15235.0  269.489990   0.17  5.51  73.150002  131.979996  1.58  0.077   \n",
       "2  15330.0  266.420013   0.16  5.47  72.919998  130.860001  1.57  0.075   \n",
       "3  15410.0  281.809998   0.16  5.52  73.209999  132.940002  1.54  0.073   \n",
       "4  15115.0  275.100006   0.17  5.55  72.589996  132.330002  1.50  0.077   \n",
       "\n",
       "        SRPT  SSKN       SSYS         STE        STL        STT        STX  \\\n",
       "0  68.589996  1.46  19.879999  218.330002  21.660000  87.010002  88.500000   \n",
       "1  69.040001  1.38  19.639999  218.940002  22.260000  88.019997  90.419998   \n",
       "2  67.500000  1.41  19.700001  216.470001  21.950001  86.589996  89.320000   \n",
       "3  78.540001  1.41  21.889999  215.529999  22.370001  87.489998  90.900002   \n",
       "4  79.800003  1.40  21.320000  216.289993  23.129999  90.000000  92.150002   \n",
       "\n",
       "   STXS       SUPN        SWI   SYSX          T   TBPH      TCEHY   TCOM  \\\n",
       "0  9.13  26.740000  22.070000  2.550  28.110001  13.82  61.320000  25.99   \n",
       "1  8.99  26.889999  22.639999  2.700  28.190001  13.63  56.830002  24.59   \n",
       "2  8.93  27.180000  20.530001  2.840  27.850000  13.00  59.139999  24.18   \n",
       "3  8.88  26.590000  20.360001  2.725  27.940001  13.45  57.400002  24.73   \n",
       "4  9.00  26.400000  19.090000  3.120  27.959999  13.00  57.709999  24.67   \n",
       "\n",
       "   TCON        TDOC        TDS  TEDU         TER   TGEN       TGTX  TMDI  \\\n",
       "0  3.78  150.059998  20.160000  9.60  127.019997  1.951  27.420000  1.71   \n",
       "1  3.40  151.410004  20.270000  7.65  126.739998  1.940  25.469999  1.64   \n",
       "2  3.45  149.729996  19.389999  6.25  127.900002  1.900  24.250000  1.61   \n",
       "3  3.68  153.029999  19.559999  6.50  126.580002  1.890  24.450001  1.68   \n",
       "4  3.62  149.259995  19.350000  6.70  126.870003  1.874  23.520000  1.69   \n",
       "\n",
       "         TNDM  TNXP   TOUR       TRMB       TRMR        TRN         TRU  TRUE  \\\n",
       "0  106.620003  0.72  1.900  85.309998  22.360001  26.980000  120.500000  5.32   \n",
       "1  104.989998  0.69  1.855  85.809998  21.760000  27.889999  120.690002  5.27   \n",
       "2  105.000000  0.66  1.820  86.730003  21.709999  27.260000  119.459999  5.21   \n",
       "3  109.970001  0.69  1.890  89.419998  21.680000  27.520000  120.459999  5.21   \n",
       "4  107.139999  0.69  1.910  89.360001  22.080000  27.870001  119.889999  4.16   \n",
       "\n",
       "         TRUP  TRVN        TSC       TSEM       TSL.L        TSLA        TTEK  \\\n",
       "0  114.089996  1.36  20.230000  29.320000   97.199997  709.669983  131.759995   \n",
       "1  115.930000  1.36  20.160000  29.500000   96.000000  709.739990  133.759995   \n",
       "2  114.949997  1.25  20.049999  29.250000   93.000000  710.919983  133.339996   \n",
       "3  113.809998  1.43  20.440001  29.490000   92.000000  714.630005  135.539993   \n",
       "4   99.400002  1.40  20.980000  29.309999  100.000000  699.099976  136.080002   \n",
       "\n",
       "        TTGT  TTNP  TTOO       TWOU       TWTR  TXMD         TXN          UI  \\\n",
       "0  73.050003  2.26  1.07  44.660000  69.129997  1.01  190.720001  310.079987   \n",
       "1  72.690002  2.31  1.06  42.680000  68.629997  0.98  189.339996  317.320007   \n",
       "2  73.589996  2.24  1.21  41.820000  68.699997  0.91  192.380005  317.690002   \n",
       "3  82.930000  2.26  1.17  41.630001  69.279999  0.94  193.160004  313.769989   \n",
       "4  81.400002  2.22  1.05  41.240002  67.370003  0.95  192.960007  315.380005   \n",
       "\n",
       "   ULBI        ULTA         UNH   USRM        UTHR  UTSI  VAL.L  VBIV  \\\n",
       "0  7.97  336.760010  415.570007  0.013  179.860001  1.40  18.25  3.03   \n",
       "1  8.06  346.660004  421.899994  0.013  180.660004  1.40  18.25  3.10   \n",
       "2  8.18  342.570007  421.540009  0.014  206.089996  1.38  18.25  3.12   \n",
       "3  8.38  351.649994  411.190002  0.013  205.419998  1.37  18.10  3.18   \n",
       "4  8.60  352.989990  415.119995  0.013  213.330002  1.38  17.85  3.08   \n",
       "\n",
       "        VCRA       VCYT       VECO        VEEV   VET        VFC     VG   VHC  \\\n",
       "0  43.220001  43.939999  23.000000  332.779999  7.05  81.830002  14.51  4.16   \n",
       "1  44.230000  44.599998  23.209999  338.049988  7.33  81.570000  14.48  3.98   \n",
       "2  44.639999  46.340000  22.379999  340.980011  6.85  79.269997  14.31  4.02   \n",
       "3  46.000000  47.840000  22.500000  341.000000  7.00  80.559998  14.93  4.13   \n",
       "4  46.060001  46.970001  23.070000  338.820007  7.08  80.620003  14.70  4.13   \n",
       "\n",
       "   VIEW       VIPS  VKTX  VLX.L   VNDA       VNET  VNRX        VPG  VPT.V  \\\n",
       "0  6.18  16.900000  6.06  345.0  16.91  17.750000  3.35  36.180000    NaN   \n",
       "1  6.08  17.370001  5.97  351.0  16.92  17.500000  3.31  35.750000   0.34   \n",
       "2  5.97  17.620001  5.85  354.0  15.94  17.200001  3.28  35.799999   0.32   \n",
       "3  6.29  17.490000  6.15  351.0  16.01  17.129999  3.20  36.150002   0.40   \n",
       "4  6.18  17.299999  6.12  349.0  16.00  18.080000  3.17  36.680000   0.43   \n",
       "\n",
       "    VRCA       VRNS        VRTX       VSAT        VSL  VSTM  VTGN  VTNR  \\\n",
       "0  10.87  60.990002  198.320007  48.090000  43.379002  3.21  2.75  8.92   \n",
       "1  10.65  59.000000  200.050003  48.430000  43.659000  2.88  2.76  8.64   \n",
       "2  10.58  59.150002  199.589996  48.060001  43.529999  2.94  2.64  8.40   \n",
       "3  11.10  60.020000  202.990005  52.160000  43.418999  3.07  2.79  8.66   \n",
       "4  10.60  58.189999  200.669998  51.869999  43.608002  3.05  2.78  8.75   \n",
       "\n",
       "    VUZI  VYGR         VZ           W         WB        WDAY        WDC  WHLR  \\\n",
       "0  14.79  3.32  55.759998  242.369995  57.500000  233.649994  64.690002  2.69   \n",
       "1  14.18  3.29  55.730000  249.490005  56.580002  235.360001  66.139999  3.25   \n",
       "2  13.68  3.18  55.369999  251.050003  56.849998  232.229996  64.940002  3.53   \n",
       "3  14.00  3.18  55.299999  276.160004  56.580002  236.000000  67.070000  3.28   \n",
       "4  13.54  3.31  55.220001  263.820007  55.669998  235.720001  68.760002  3.12   \n",
       "\n",
       "          WIX          WK       WOOF         WSM   WVE   XENE       XENT  \\\n",
       "0  298.660004  129.070007  20.230000  154.830002  5.61  17.58  24.230000   \n",
       "1  295.109985  128.660004  19.559999  158.699997  5.56  17.24  23.990000   \n",
       "2  294.359985  138.699997  19.709999  156.520004  5.55  16.73  24.480000   \n",
       "3  273.980011  135.750000  19.740000  157.910004  6.03  17.00  24.520000   \n",
       "4  267.679993  133.139999  19.969999  154.649994  5.94  16.50  27.370001   \n",
       "\n",
       "     XL        XLRN       XNCR  XNET        XRX  XTNT  XXII       YELP  \\\n",
       "0  6.88  124.720001  30.870001  3.71  24.080000  1.30  3.18  37.000000   \n",
       "1  6.65  123.010002  31.360001  3.62  24.370001  1.32  3.12  36.500000   \n",
       "2  6.56  126.500000  31.059999  3.63  23.440001  1.33  2.99  35.930000   \n",
       "3  6.67  127.379997  32.270000  3.70  23.480000  1.29  3.52  37.200001   \n",
       "4  6.94  124.570000  31.219999  3.87  23.950001  1.32  3.53  39.150002   \n",
       "\n",
       "      YGYI         YY           Z        ZBRA         ZEN       ZGNX  \\\n",
       "0  0.20509  52.959999  107.519997  550.969971  129.350006  16.320000   \n",
       "1  0.23700  50.419998  104.589996  546.739990  127.209999  16.299999   \n",
       "2  0.23100  49.970001  109.230003  560.000000  127.459999  16.170000   \n",
       "3  0.22400  49.950001  110.239998  569.219971  129.419998  16.530001   \n",
       "4  0.21000  49.080002  101.150002  562.270020  128.619995  14.270000   \n",
       "\n",
       "        ZION  ZIOP          ZM   ZNGA   ZSAN  ZYNE  \n",
       "0  51.630001  2.30  378.959991  10.06  0.751  4.50  \n",
       "1  52.740002  2.29  374.880005   9.87  0.760  4.44  \n",
       "2  52.230000  2.22  400.579987   9.90  0.739  4.33  \n",
       "3  53.119999  2.31  398.679993   9.77  0.750  4.53  \n",
       "4  54.990002  2.27  383.470001   7.99  0.774  4.44  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock1.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "577fd995",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.heatmap(stock1.isnull())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "0203f274",
   "metadata": {},
   "outputs": [],
   "source": [
    "stock1.to_csv(\"stock_3_months.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cc594e24",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}