module4/historical_variance_solution.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Historical Variance (Solution)\n",
    "\n",
    "Let's see how we'd be calculating a covariance matrix of assets without the help of a factor model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "\u001b[33mYou are using pip version 9.0.1, however version 18.1 is available.\n",
      "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "!{sys.executable} -m pip install -r requirements.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import time\n",
    "import os\n",
    "import quiz_helper\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "plt.style.use('ggplot')\n",
    "plt.rcParams['figure.figsize'] = (14, 8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### data bundle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import quiz_helper\n",
    "from zipline.data import bundles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data Registered\n"
     ]
    }
   ],
   "source": [
    "os.environ['ZIPLINE_ROOT'] = os.path.join(os.getcwd(), '..', '..','data','module_4_quizzes_eod')\n",
    "ingest_func = bundles.csvdir.csvdir_equities(['daily'], quiz_helper.EOD_BUNDLE_NAME)\n",
    "bundles.register(quiz_helper.EOD_BUNDLE_NAME, ingest_func)\n",
    "print('Data Registered')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Build pipeline engine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from zipline.pipeline import Pipeline\n",
    "from zipline.pipeline.factors import AverageDollarVolume\n",
    "from zipline.utils.calendars import get_calendar\n",
    "\n",
    "universe = AverageDollarVolume(window_length=120).top(500) \n",
    "trading_calendar = get_calendar('NYSE') \n",
    "bundle_data = bundles.load(quiz_helper.EOD_BUNDLE_NAME)\n",
    "engine = quiz_helper.build_pipeline_engine(bundle_data, trading_calendar)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### View Data¶\n",
    "With the pipeline engine built, let's get the stocks at the end of the period in the universe we're using. We'll use these tickers to generate the returns data for the our risk model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " Equity(64 [BDX]),\n",
       " Equity(65 [BEN]),\n",
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       " Equity(69 [BLL]),\n",
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       " Equity(82 [CBS]),\n",
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       " Equity(101 [CMI]),\n",
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       " Equity(103 [CNC]),\n",
       " Equity(104 [CNP]),\n",
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       " Equity(106 [COG]),\n",
       " Equity(107 [COL]),\n",
       " Equity(108 [COO]),\n",
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       " Equity(110 [COST]),\n",
       " Equity(111 [COTY]),\n",
       " Equity(112 [CPB]),\n",
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       " Equity(114 [CSCO]),\n",
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       " Equity(135 [DISH]),\n",
       " Equity(136 [DLR]),\n",
       " Equity(137 [DLTR]),\n",
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       " Equity(140 [DRE]),\n",
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       " Equity(275 [LLY]),\n",
       " Equity(276 [LMT]),\n",
       " Equity(277 [LNC]),\n",
       " Equity(278 [LNT]),\n",
       " Equity(279 [LOW]),\n",
       " Equity(280 [LRCX]),\n",
       " Equity(281 [LUK]),\n",
       " Equity(282 [LUV]),\n",
       " Equity(283 [LVLT]),\n",
       " Equity(284 [LYB]),\n",
       " Equity(285 [M]),\n",
       " Equity(286 [MA]),\n",
       " Equity(287 [MAA]),\n",
       " Equity(288 [MAC]),\n",
       " Equity(289 [MAR]),\n",
       " Equity(290 [MAS]),\n",
       " Equity(291 [MAT]),\n",
       " Equity(292 [MCD]),\n",
       " Equity(293 [MCHP]),\n",
       " Equity(294 [MCK]),\n",
       " Equity(295 [MCO]),\n",
       " Equity(296 [MDLZ]),\n",
       " Equity(297 [MDT]),\n",
       " Equity(298 [MET]),\n",
       " Equity(299 [MGM]),\n",
       " Equity(300 [MHK]),\n",
       " Equity(301 [MKC]),\n",
       " Equity(302 [MLM]),\n",
       " Equity(303 [MMC]),\n",
       " Equity(304 [MNST]),\n",
       " Equity(305 [MO]),\n",
       " Equity(306 [MON]),\n",
       " Equity(307 [MOS]),\n",
       " Equity(308 [MPC]),\n",
       " Equity(309 [MRK]),\n",
       " Equity(310 [MRO]),\n",
       " Equity(311 [MS]),\n",
       " Equity(312 [MSFT]),\n",
       " Equity(313 [MSI]),\n",
       " Equity(314 [MTB]),\n",
       " Equity(315 [MTD]),\n",
       " Equity(316 [MU]),\n",
       " Equity(317 [MYL]),\n",
       " Equity(318 [NAVI]),\n",
       " Equity(319 [NBL]),\n",
       " Equity(320 [NDAQ]),\n",
       " Equity(321 [NEE]),\n",
       " Equity(322 [NEM]),\n",
       " Equity(323 [NFLX]),\n",
       " Equity(324 [NFX]),\n",
       " Equity(325 [NI]),\n",
       " Equity(326 [NKE]),\n",
       " Equity(327 [NLSN]),\n",
       " Equity(328 [NOC]),\n",
       " Equity(329 [NOV]),\n",
       " Equity(330 [NRG]),\n",
       " Equity(331 [NSC]),\n",
       " Equity(332 [NTAP]),\n",
       " Equity(333 [NTRS]),\n",
       " Equity(334 [NUE]),\n",
       " Equity(335 [NVDA]),\n",
       " Equity(336 [NWL]),\n",
       " Equity(337 [NWS]),\n",
       " Equity(338 [NWSA]),\n",
       " Equity(339 [O]),\n",
       " Equity(340 [OKE]),\n",
       " Equity(341 [OMC]),\n",
       " Equity(342 [ORCL]),\n",
       " Equity(343 [ORLY]),\n",
       " Equity(344 [OXY]),\n",
       " Equity(345 [PAYX]),\n",
       " Equity(346 [PBCT]),\n",
       " Equity(347 [PCAR]),\n",
       " Equity(348 [PCG]),\n",
       " Equity(349 [PDCO]),\n",
       " Equity(350 [PEG]),\n",
       " Equity(351 [PEP]),\n",
       " Equity(352 [PFE]),\n",
       " Equity(353 [PFG]),\n",
       " Equity(354 [PG]),\n",
       " Equity(355 [PGR]),\n",
       " Equity(356 [PH]),\n",
       " Equity(357 [PHM]),\n",
       " Equity(358 [PKG]),\n",
       " Equity(359 [PKI]),\n",
       " Equity(360 [PLD]),\n",
       " Equity(361 [PM]),\n",
       " Equity(362 [PNC]),\n",
       " Equity(363 [PNR]),\n",
       " Equity(364 [PNW]),\n",
       " Equity(365 [PPG]),\n",
       " Equity(366 [PPL]),\n",
       " Equity(367 [PRGO]),\n",
       " Equity(368 [PRU]),\n",
       " Equity(369 [PSA]),\n",
       " Equity(370 [PSX]),\n",
       " Equity(371 [PVH]),\n",
       " Equity(372 [PWR]),\n",
       " Equity(373 [PX]),\n",
       " Equity(374 [PXD]),\n",
       " Equity(375 [PYPL]),\n",
       " Equity(376 [QCOM]),\n",
       " Equity(377 [QRVO]),\n",
       " Equity(378 [RCL]),\n",
       " Equity(379 [RE]),\n",
       " Equity(380 [REG]),\n",
       " Equity(381 [REGN]),\n",
       " Equity(382 [RF]),\n",
       " Equity(383 [RHI]),\n",
       " Equity(384 [RHT]),\n",
       " Equity(385 [RJF]),\n",
       " Equity(386 [RL]),\n",
       " Equity(387 [RMD]),\n",
       " Equity(388 [ROK]),\n",
       " Equity(389 [ROP]),\n",
       " Equity(390 [ROST]),\n",
       " Equity(391 [RRC]),\n",
       " Equity(392 [RSG]),\n",
       " Equity(393 [RTN]),\n",
       " Equity(394 [SBAC]),\n",
       " Equity(395 [SBUX]),\n",
       " Equity(396 [SCG]),\n",
       " Equity(397 [SCHW]),\n",
       " Equity(398 [SEE]),\n",
       " Equity(399 [SHW]),\n",
       " Equity(400 [SIG]),\n",
       " Equity(401 [SJM]),\n",
       " Equity(402 [SLB]),\n",
       " Equity(403 [SLG]),\n",
       " Equity(404 [SNA]),\n",
       " Equity(405 [SNI]),\n",
       " Equity(406 [SNPS]),\n",
       " Equity(407 [SO]),\n",
       " Equity(408 [SPG]),\n",
       " Equity(409 [SPLS]),\n",
       " Equity(410 [SRCL]),\n",
       " Equity(411 [SRE]),\n",
       " Equity(412 [STI]),\n",
       " Equity(413 [STT]),\n",
       " Equity(414 [STX]),\n",
       " Equity(415 [STZ]),\n",
       " Equity(416 [SWK]),\n",
       " Equity(417 [SWKS]),\n",
       " Equity(418 [SYF]),\n",
       " Equity(419 [SYK]),\n",
       " Equity(420 [SYMC]),\n",
       " Equity(421 [SYY]),\n",
       " Equity(422 [T]),\n",
       " Equity(423 [TAP]),\n",
       " Equity(424 [TDG]),\n",
       " Equity(425 [TEL]),\n",
       " Equity(426 [TGT]),\n",
       " Equity(427 [TIF]),\n",
       " Equity(428 [TJX]),\n",
       " Equity(429 [TMK]),\n",
       " Equity(430 [TMO]),\n",
       " Equity(431 [TRIP]),\n",
       " Equity(432 [TROW]),\n",
       " Equity(433 [TRV]),\n",
       " Equity(434 [TSCO]),\n",
       " Equity(435 [TSN]),\n",
       " Equity(436 [TSS]),\n",
       " Equity(437 [TWX]),\n",
       " Equity(438 [TXN]),\n",
       " Equity(439 [TXT]),\n",
       " Equity(440 [UAA]),\n",
       " Equity(441 [UAL]),\n",
       " Equity(442 [UDR]),\n",
       " Equity(443 [UHS]),\n",
       " Equity(444 [ULTA]),\n",
       " Equity(445 [UNH]),\n",
       " Equity(446 [UNM]),\n",
       " Equity(447 [UNP]),\n",
       " Equity(448 [UPS]),\n",
       " Equity(449 [URI]),\n",
       " Equity(450 [USB]),\n",
       " Equity(451 [UTX]),\n",
       " Equity(452 [V]),\n",
       " Equity(453 [VAR]),\n",
       " Equity(454 [VFC]),\n",
       " Equity(455 [VIAB]),\n",
       " Equity(456 [VLO]),\n",
       " Equity(457 [VMC]),\n",
       " Equity(458 [VNO]),\n",
       " Equity(459 [VRSK]),\n",
       " Equity(460 [VRSN]),\n",
       " Equity(461 [VRTX]),\n",
       " Equity(462 [VTR]),\n",
       " Equity(463 [VZ]),\n",
       " Equity(464 [WAT]),\n",
       " Equity(465 [WBA]),\n",
       " Equity(466 [WDC]),\n",
       " Equity(467 [WEC]),\n",
       " Equity(468 [WFC]),\n",
       " Equity(469 [WHR]),\n",
       " Equity(471 [WM]),\n",
       " Equity(472 [WMB]),\n",
       " Equity(473 [WMT]),\n",
       " Equity(474 [WRK]),\n",
       " Equity(475 [WU]),\n",
       " Equity(476 [WY]),\n",
       " Equity(477 [WYN]),\n",
       " Equity(478 [WYNN]),\n",
       " Equity(479 [XEC]),\n",
       " Equity(480 [XEL]),\n",
       " Equity(481 [XL]),\n",
       " Equity(482 [XLNX]),\n",
       " Equity(483 [XOM]),\n",
       " Equity(484 [XRAY]),\n",
       " Equity(485 [XRX]),\n",
       " Equity(486 [XYL]),\n",
       " Equity(487 [YUM]),\n",
       " Equity(488 [ZBH]),\n",
       " Equity(489 [ZION]),\n",
       " Equity(490 [ZTS])]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "universe_end_date = pd.Timestamp('2016-01-05', tz='UTC')\n",
    "\n",
    "universe_tickers = engine\\\n",
    "    .run_pipeline(\n",
    "        Pipeline(screen=universe),\n",
    "        universe_end_date,\n",
    "        universe_end_date)\\\n",
    "    .index.get_level_values(1)\\\n",
    "    .values.tolist()\n",
    "    \n",
    "universe_tickers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "490"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(universe_tickers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from zipline.data.data_portal import DataPortal\n",
    "\n",
    "data_portal = DataPortal(\n",
    "    bundle_data.asset_finder,\n",
    "    trading_calendar=trading_calendar,\n",
    "    first_trading_day=bundle_data.equity_daily_bar_reader.first_trading_day,\n",
    "    equity_minute_reader=None,\n",
    "    equity_daily_reader=bundle_data.equity_daily_bar_reader,\n",
    "    adjustment_reader=bundle_data.adjustment_reader)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get pricing data helper function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from quiz_helper import get_pricing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## get pricing data into a dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Equity(0 [A])</th>\n",
       "      <th>Equity(1 [AAL])</th>\n",
       "      <th>Equity(2 [AAP])</th>\n",
       "      <th>Equity(3 [AAPL])</th>\n",
       "      <th>Equity(4 [ABBV])</th>\n",
       "      <th>Equity(5 [ABC])</th>\n",
       "      <th>Equity(6 [ABT])</th>\n",
       "      <th>Equity(7 [ACN])</th>\n",
       "      <th>Equity(8 [ADBE])</th>\n",
       "      <th>Equity(9 [ADI])</th>\n",
       "      <th>...</th>\n",
       "      <th>Equity(481 [XL])</th>\n",
       "      <th>Equity(482 [XLNX])</th>\n",
       "      <th>Equity(483 [XOM])</th>\n",
       "      <th>Equity(484 [XRAY])</th>\n",
       "      <th>Equity(485 [XRX])</th>\n",
       "      <th>Equity(486 [XYL])</th>\n",
       "      <th>Equity(487 [YUM])</th>\n",
       "      <th>Equity(488 [ZBH])</th>\n",
       "      <th>Equity(489 [ZION])</th>\n",
       "      <th>Equity(490 [ZTS])</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-01-07 00:00:00+00:00</th>\n",
       "      <td>0.008437</td>\n",
       "      <td>0.014230</td>\n",
       "      <td>0.026702</td>\n",
       "      <td>0.007146</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001994</td>\n",
       "      <td>0.004165</td>\n",
       "      <td>0.001648</td>\n",
       "      <td>-0.007127</td>\n",
       "      <td>-0.005818</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001838</td>\n",
       "      <td>-0.005619</td>\n",
       "      <td>0.005461</td>\n",
       "      <td>-0.004044</td>\n",
       "      <td>-0.013953</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012457</td>\n",
       "      <td>-0.000181</td>\n",
       "      <td>-0.010458</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-10 00:00:00+00:00</th>\n",
       "      <td>-0.004174</td>\n",
       "      <td>0.006195</td>\n",
       "      <td>0.007435</td>\n",
       "      <td>0.018852</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.005714</td>\n",
       "      <td>-0.008896</td>\n",
       "      <td>-0.008854</td>\n",
       "      <td>0.028714</td>\n",
       "      <td>0.002926</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000947</td>\n",
       "      <td>0.007814</td>\n",
       "      <td>-0.006081</td>\n",
       "      <td>0.010466</td>\n",
       "      <td>0.009733</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001440</td>\n",
       "      <td>0.007784</td>\n",
       "      <td>-0.017945</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-11 00:00:00+00:00</th>\n",
       "      <td>-0.001886</td>\n",
       "      <td>-0.043644</td>\n",
       "      <td>-0.005927</td>\n",
       "      <td>-0.002367</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009783</td>\n",
       "      <td>-0.002067</td>\n",
       "      <td>0.013717</td>\n",
       "      <td>0.000607</td>\n",
       "      <td>0.008753</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001314</td>\n",
       "      <td>0.010179</td>\n",
       "      <td>0.007442</td>\n",
       "      <td>0.007351</td>\n",
       "      <td>0.006116</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.006470</td>\n",
       "      <td>0.035676</td>\n",
       "      <td>0.007467</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-12 00:00:00+00:00</th>\n",
       "      <td>0.017254</td>\n",
       "      <td>-0.008237</td>\n",
       "      <td>0.013387</td>\n",
       "      <td>0.008133</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.005979</td>\n",
       "      <td>-0.001011</td>\n",
       "      <td>0.022969</td>\n",
       "      <td>0.017950</td>\n",
       "      <td>0.000257</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004986</td>\n",
       "      <td>0.015666</td>\n",
       "      <td>0.011763</td>\n",
       "      <td>0.027182</td>\n",
       "      <td>0.004386</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002631</td>\n",
       "      <td>0.014741</td>\n",
       "      <td>-0.011903</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-13 00:00:00+00:00</th>\n",
       "      <td>-0.004559</td>\n",
       "      <td>0.000955</td>\n",
       "      <td>0.003031</td>\n",
       "      <td>0.003657</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014925</td>\n",
       "      <td>-0.004451</td>\n",
       "      <td>-0.000400</td>\n",
       "      <td>-0.005719</td>\n",
       "      <td>-0.005012</td>\n",
       "      <td>...</td>\n",
       "      <td>0.030499</td>\n",
       "      <td>-0.003217</td>\n",
       "      <td>0.001694</td>\n",
       "      <td>0.000547</td>\n",
       "      <td>-0.018235</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.005084</td>\n",
       "      <td>-0.004665</td>\n",
       "      <td>-0.009178</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-14 00:00:00+00:00</th>\n",
       "      <td>0.003439</td>\n",
       "      <td>-0.009156</td>\n",
       "      <td>0.003022</td>\n",
       "      <td>0.008106</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001395</td>\n",
       "      <td>-0.010111</td>\n",
       "      <td>0.002590</td>\n",
       "      <td>0.012283</td>\n",
       "      <td>0.019827</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026607</td>\n",
       "      <td>0.025894</td>\n",
       "      <td>0.014743</td>\n",
       "      <td>-0.000287</td>\n",
       "      <td>0.026494</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.021661</td>\n",
       "      <td>0.005949</td>\n",
       "      <td>0.033177</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-18 00:00:00+00:00</th>\n",
       "      <td>0.034254</td>\n",
       "      <td>-0.062085</td>\n",
       "      <td>-0.004286</td>\n",
       "      <td>-0.022474</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020889</td>\n",
       "      <td>0.006621</td>\n",
       "      <td>0.006998</td>\n",
       "      <td>0.011542</td>\n",
       "      <td>0.032645</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001678</td>\n",
       "      <td>0.002501</td>\n",
       "      <td>0.011163</td>\n",
       "      <td>0.011589</td>\n",
       "      <td>0.006044</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029453</td>\n",
       "      <td>0.006998</td>\n",
       "      <td>-0.008534</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-19 00:00:00+00:00</th>\n",
       "      <td>-0.010224</td>\n",
       "      <td>-0.008929</td>\n",
       "      <td>0.008754</td>\n",
       "      <td>-0.005314</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.017144</td>\n",
       "      <td>0.002753</td>\n",
       "      <td>-0.002962</td>\n",
       "      <td>-0.007899</td>\n",
       "      <td>-0.020575</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.014834</td>\n",
       "      <td>-0.023590</td>\n",
       "      <td>-0.005968</td>\n",
       "      <td>-0.019899</td>\n",
       "      <td>-0.012847</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000818</td>\n",
       "      <td>-0.004098</td>\n",
       "      <td>-0.018433</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-20 00:00:00+00:00</th>\n",
       "      <td>-0.008496</td>\n",
       "      <td>0.021953</td>\n",
       "      <td>-0.004732</td>\n",
       "      <td>-0.018189</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004794</td>\n",
       "      <td>0.013322</td>\n",
       "      <td>0.018713</td>\n",
       "      <td>-0.012386</td>\n",
       "      <td>-0.002818</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.024512</td>\n",
       "      <td>0.007744</td>\n",
       "      <td>-0.006261</td>\n",
       "      <td>-0.000841</td>\n",
       "      <td>-0.033798</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.013182</td>\n",
       "      <td>-0.001612</td>\n",
       "      <td>-0.007972</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-21 00:00:00+00:00</th>\n",
       "      <td>0.007873</td>\n",
       "      <td>-0.041038</td>\n",
       "      <td>0.005544</td>\n",
       "      <td>-0.017911</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010642</td>\n",
       "      <td>-0.000853</td>\n",
       "      <td>-0.001952</td>\n",
       "      <td>-0.006569</td>\n",
       "      <td>-0.004113</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000615</td>\n",
       "      <td>0.015825</td>\n",
       "      <td>-0.003048</td>\n",
       "      <td>-0.000872</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.007590</td>\n",
       "      <td>0.009325</td>\n",
       "      <td>0.024020</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-24 00:00:00+00:00</th>\n",
       "      <td>0.014646</td>\n",
       "      <td>0.027473</td>\n",
       "      <td>-0.001106</td>\n",
       "      <td>0.032837</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005249</td>\n",
       "      <td>0.005223</td>\n",
       "      <td>0.008420</td>\n",
       "      <td>0.022843</td>\n",
       "      <td>0.014974</td>\n",
       "      <td>...</td>\n",
       "      <td>0.012359</td>\n",
       "      <td>0.016011</td>\n",
       "      <td>-0.004943</td>\n",
       "      <td>0.001660</td>\n",
       "      <td>0.008049</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000601</td>\n",
       "      <td>-0.016501</td>\n",
       "      <td>-0.023021</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-25 00:00:00+00:00</th>\n",
       "      <td>-0.006736</td>\n",
       "      <td>0.002982</td>\n",
       "      <td>0.009146</td>\n",
       "      <td>0.011710</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.009363</td>\n",
       "      <td>-0.004347</td>\n",
       "      <td>0.004859</td>\n",
       "      <td>-0.013811</td>\n",
       "      <td>-0.014505</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002178</td>\n",
       "      <td>0.006273</td>\n",
       "      <td>0.001154</td>\n",
       "      <td>0.001134</td>\n",
       "      <td>0.015143</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.006208</td>\n",
       "      <td>0.017142</td>\n",
       "      <td>-0.008836</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-26 00:00:00+00:00</th>\n",
       "      <td>-0.030736</td>\n",
       "      <td>0.066133</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>0.007193</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012227</td>\n",
       "      <td>-0.025241</td>\n",
       "      <td>0.012192</td>\n",
       "      <td>-0.001192</td>\n",
       "      <td>0.002837</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002628</td>\n",
       "      <td>0.005934</td>\n",
       "      <td>0.012453</td>\n",
       "      <td>0.000552</td>\n",
       "      <td>-0.076291</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.004803</td>\n",
       "      <td>-0.019524</td>\n",
       "      <td>-0.010626</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-27 00:00:00+00:00</th>\n",
       "      <td>0.007721</td>\n",
       "      <td>0.023178</td>\n",
       "      <td>-0.001553</td>\n",
       "      <td>-0.001877</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011833</td>\n",
       "      <td>-0.007928</td>\n",
       "      <td>0.000179</td>\n",
       "      <td>0.009845</td>\n",
       "      <td>0.007480</td>\n",
       "      <td>...</td>\n",
       "      <td>0.014267</td>\n",
       "      <td>0.021169</td>\n",
       "      <td>0.002751</td>\n",
       "      <td>0.016396</td>\n",
       "      <td>0.024664</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.003746</td>\n",
       "      <td>0.068754</td>\n",
       "      <td>0.020160</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-28 00:00:00+00:00</th>\n",
       "      <td>-0.018846</td>\n",
       "      <td>-0.080553</td>\n",
       "      <td>-0.000936</td>\n",
       "      <td>-0.020710</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.022262</td>\n",
       "      <td>-0.019200</td>\n",
       "      <td>-0.016035</td>\n",
       "      <td>-0.040177</td>\n",
       "      <td>-0.022460</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.025647</td>\n",
       "      <td>-0.020108</td>\n",
       "      <td>-0.011131</td>\n",
       "      <td>-0.021871</td>\n",
       "      <td>-0.022229</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.025001</td>\n",
       "      <td>-0.008472</td>\n",
       "      <td>-0.013873</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-31 00:00:00+00:00</th>\n",
       "      <td>0.003608</td>\n",
       "      <td>-0.023615</td>\n",
       "      <td>-0.002351</td>\n",
       "      <td>0.009578</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.003893</td>\n",
       "      <td>-0.007248</td>\n",
       "      <td>-0.000980</td>\n",
       "      <td>0.017236</td>\n",
       "      <td>0.013818</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004846</td>\n",
       "      <td>0.000298</td>\n",
       "      <td>0.021396</td>\n",
       "      <td>-0.007560</td>\n",
       "      <td>0.006615</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007748</td>\n",
       "      <td>0.009902</td>\n",
       "      <td>0.006378</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-01 00:00:00+00:00</th>\n",
       "      <td>0.011654</td>\n",
       "      <td>-0.001047</td>\n",
       "      <td>-0.009218</td>\n",
       "      <td>0.016818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011976</td>\n",
       "      <td>0.001546</td>\n",
       "      <td>0.017498</td>\n",
       "      <td>0.013918</td>\n",
       "      <td>0.021624</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015687</td>\n",
       "      <td>0.032003</td>\n",
       "      <td>0.040037</td>\n",
       "      <td>0.024795</td>\n",
       "      <td>0.024498</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014102</td>\n",
       "      <td>0.017746</td>\n",
       "      <td>0.030970</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-02 00:00:00+00:00</th>\n",
       "      <td>0.010112</td>\n",
       "      <td>-0.039304</td>\n",
       "      <td>-0.027477</td>\n",
       "      <td>-0.002053</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.021197</td>\n",
       "      <td>0.011068</td>\n",
       "      <td>0.003632</td>\n",
       "      <td>-0.002387</td>\n",
       "      <td>0.002280</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.012846</td>\n",
       "      <td>-0.004518</td>\n",
       "      <td>-0.005958</td>\n",
       "      <td>-0.010390</td>\n",
       "      <td>-0.001827</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006562</td>\n",
       "      <td>0.005161</td>\n",
       "      <td>-0.003706</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-03 00:00:00+00:00</th>\n",
       "      <td>-0.000289</td>\n",
       "      <td>0.007310</td>\n",
       "      <td>0.014126</td>\n",
       "      <td>-0.002560</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.003662</td>\n",
       "      <td>0.005894</td>\n",
       "      <td>0.004178</td>\n",
       "      <td>0.002991</td>\n",
       "      <td>-0.013341</td>\n",
       "      <td>...</td>\n",
       "      <td>0.010430</td>\n",
       "      <td>-0.008169</td>\n",
       "      <td>0.000347</td>\n",
       "      <td>0.008556</td>\n",
       "      <td>0.004596</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.031413</td>\n",
       "      <td>-0.000333</td>\n",
       "      <td>-0.000394</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-04 00:00:00+00:00</th>\n",
       "      <td>0.005627</td>\n",
       "      <td>-0.036500</td>\n",
       "      <td>0.024014</td>\n",
       "      <td>0.008915</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.033047</td>\n",
       "      <td>0.002616</td>\n",
       "      <td>-0.004360</td>\n",
       "      <td>-0.005070</td>\n",
       "      <td>0.019659</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009471</td>\n",
       "      <td>0.024709</td>\n",
       "      <td>-0.001917</td>\n",
       "      <td>0.003048</td>\n",
       "      <td>-0.005506</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001408</td>\n",
       "      <td>0.002471</td>\n",
       "      <td>0.016111</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-07 00:00:00+00:00</th>\n",
       "      <td>0.007709</td>\n",
       "      <td>0.052046</td>\n",
       "      <td>0.008114</td>\n",
       "      <td>0.015538</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.002178</td>\n",
       "      <td>-0.009341</td>\n",
       "      <td>0.002279</td>\n",
       "      <td>0.005995</td>\n",
       "      <td>-0.003514</td>\n",
       "      <td>...</td>\n",
       "      <td>0.006801</td>\n",
       "      <td>-0.005073</td>\n",
       "      <td>0.007803</td>\n",
       "      <td>0.006852</td>\n",
       "      <td>0.002768</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002028</td>\n",
       "      <td>-0.010876</td>\n",
       "      <td>0.027617</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-08 00:00:00+00:00</th>\n",
       "      <td>0.010854</td>\n",
       "      <td>0.016455</td>\n",
       "      <td>0.006202</td>\n",
       "      <td>0.009440</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002182</td>\n",
       "      <td>-0.001738</td>\n",
       "      <td>-0.000557</td>\n",
       "      <td>0.000298</td>\n",
       "      <td>-0.006010</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003846</td>\n",
       "      <td>0.001795</td>\n",
       "      <td>-0.006077</td>\n",
       "      <td>0.005182</td>\n",
       "      <td>-0.002761</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003851</td>\n",
       "      <td>-0.000495</td>\n",
       "      <td>0.004780</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-09 00:00:00+00:00</th>\n",
       "      <td>0.004664</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.016955</td>\n",
       "      <td>0.008332</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003006</td>\n",
       "      <td>-0.001530</td>\n",
       "      <td>0.001138</td>\n",
       "      <td>-0.016682</td>\n",
       "      <td>0.004781</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.011837</td>\n",
       "      <td>-0.001792</td>\n",
       "      <td>-0.005178</td>\n",
       "      <td>-0.018441</td>\n",
       "      <td>0.003705</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.001821</td>\n",
       "      <td>-0.009851</td>\n",
       "      <td>-0.004757</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-10 00:00:00+00:00</th>\n",
       "      <td>0.000413</td>\n",
       "      <td>-0.003048</td>\n",
       "      <td>-0.011367</td>\n",
       "      <td>-0.010109</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001101</td>\n",
       "      <td>-0.001110</td>\n",
       "      <td>0.005503</td>\n",
       "      <td>0.016965</td>\n",
       "      <td>0.004513</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.008947</td>\n",
       "      <td>0.003914</td>\n",
       "      <td>0.007876</td>\n",
       "      <td>0.005512</td>\n",
       "      <td>-0.004624</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004853</td>\n",
       "      <td>0.011449</td>\n",
       "      <td>-0.026498</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-11 00:00:00+00:00</th>\n",
       "      <td>-0.007150</td>\n",
       "      <td>0.028364</td>\n",
       "      <td>0.000764</td>\n",
       "      <td>0.006505</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.001375</td>\n",
       "      <td>0.001534</td>\n",
       "      <td>-0.011146</td>\n",
       "      <td>0.002979</td>\n",
       "      <td>0.015007</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001705</td>\n",
       "      <td>0.010765</td>\n",
       "      <td>-0.004562</td>\n",
       "      <td>0.007147</td>\n",
       "      <td>0.012021</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000616</td>\n",
       "      <td>0.009660</td>\n",
       "      <td>0.014256</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-14 00:00:00+00:00</th>\n",
       "      <td>0.001663</td>\n",
       "      <td>-0.015790</td>\n",
       "      <td>-0.023274</td>\n",
       "      <td>0.006529</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005750</td>\n",
       "      <td>0.009245</td>\n",
       "      <td>0.000202</td>\n",
       "      <td>0.005643</td>\n",
       "      <td>0.009877</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.011616</td>\n",
       "      <td>0.000318</td>\n",
       "      <td>0.025230</td>\n",
       "      <td>-0.005443</td>\n",
       "      <td>0.005476</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010657</td>\n",
       "      <td>0.002484</td>\n",
       "      <td>-0.010021</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-15 00:00:00+00:00</th>\n",
       "      <td>-0.011905</td>\n",
       "      <td>0.011043</td>\n",
       "      <td>-0.003926</td>\n",
       "      <td>0.002016</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.007329</td>\n",
       "      <td>0.016750</td>\n",
       "      <td>-0.008021</td>\n",
       "      <td>0.002363</td>\n",
       "      <td>0.000239</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.006079</td>\n",
       "      <td>-0.001804</td>\n",
       "      <td>-0.022853</td>\n",
       "      <td>0.004097</td>\n",
       "      <td>0.003604</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.008526</td>\n",
       "      <td>-0.001815</td>\n",
       "      <td>-0.004461</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-16 00:00:00+00:00</th>\n",
       "      <td>0.015123</td>\n",
       "      <td>0.001958</td>\n",
       "      <td>0.013860</td>\n",
       "      <td>0.008967</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.003554</td>\n",
       "      <td>-0.010502</td>\n",
       "      <td>0.027329</td>\n",
       "      <td>0.022098</td>\n",
       "      <td>-0.003905</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009174</td>\n",
       "      <td>0.003863</td>\n",
       "      <td>0.008682</td>\n",
       "      <td>0.000285</td>\n",
       "      <td>0.027093</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.008898</td>\n",
       "      <td>0.010557</td>\n",
       "      <td>0.001206</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-17 00:00:00+00:00</th>\n",
       "      <td>-0.003311</td>\n",
       "      <td>-0.017791</td>\n",
       "      <td>-0.024844</td>\n",
       "      <td>-0.013309</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029148</td>\n",
       "      <td>0.001301</td>\n",
       "      <td>0.011784</td>\n",
       "      <td>0.008360</td>\n",
       "      <td>0.008559</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015656</td>\n",
       "      <td>0.000318</td>\n",
       "      <td>0.002275</td>\n",
       "      <td>-0.001911</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003906</td>\n",
       "      <td>0.015325</td>\n",
       "      <td>-0.003227</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-18 00:00:00+00:00</th>\n",
       "      <td>0.011078</td>\n",
       "      <td>-0.020103</td>\n",
       "      <td>-0.006693</td>\n",
       "      <td>-0.021595</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009620</td>\n",
       "      <td>0.012106</td>\n",
       "      <td>-0.007953</td>\n",
       "      <td>0.011721</td>\n",
       "      <td>-0.001691</td>\n",
       "      <td>...</td>\n",
       "      <td>0.053404</td>\n",
       "      <td>0.001447</td>\n",
       "      <td>0.007393</td>\n",
       "      <td>0.013148</td>\n",
       "      <td>-0.004390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.004110</td>\n",
       "      <td>0.023782</td>\n",
       "      <td>-0.017960</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-20 00:00:00+00:00</th>\n",
       "      <td>0.001072</td>\n",
       "      <td>-0.002373</td>\n",
       "      <td>0.002767</td>\n",
       "      <td>0.004381</td>\n",
       "      <td>0.009256</td>\n",
       "      <td>-0.000905</td>\n",
       "      <td>0.006113</td>\n",
       "      <td>0.006430</td>\n",
       "      <td>0.000545</td>\n",
       "      <td>-0.005843</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008131</td>\n",
       "      <td>0.000412</td>\n",
       "      <td>-0.006352</td>\n",
       "      <td>0.002793</td>\n",
       "      <td>0.002899</td>\n",
       "      <td>-0.004498</td>\n",
       "      <td>0.015060</td>\n",
       "      <td>-0.003176</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.008950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-23 00:00:00+00:00</th>\n",
       "      <td>-0.007094</td>\n",
       "      <td>0.002379</td>\n",
       "      <td>-0.001228</td>\n",
       "      <td>-0.012989</td>\n",
       "      <td>0.000646</td>\n",
       "      <td>-0.003728</td>\n",
       "      <td>-0.012381</td>\n",
       "      <td>-0.001206</td>\n",
       "      <td>0.001634</td>\n",
       "      <td>-0.044107</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.004696</td>\n",
       "      <td>-0.006955</td>\n",
       "      <td>0.006131</td>\n",
       "      <td>0.007345</td>\n",
       "      <td>0.027692</td>\n",
       "      <td>0.001322</td>\n",
       "      <td>-0.000966</td>\n",
       "      <td>-0.008581</td>\n",
       "      <td>-0.001992</td>\n",
       "      <td>-0.007600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-24 00:00:00+00:00</th>\n",
       "      <td>0.002085</td>\n",
       "      <td>-0.025309</td>\n",
       "      <td>0.003504</td>\n",
       "      <td>0.009594</td>\n",
       "      <td>-0.000323</td>\n",
       "      <td>-0.002336</td>\n",
       "      <td>0.000210</td>\n",
       "      <td>-0.004537</td>\n",
       "      <td>0.000435</td>\n",
       "      <td>0.063741</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000777</td>\n",
       "      <td>0.012960</td>\n",
       "      <td>0.019935</td>\n",
       "      <td>-0.009563</td>\n",
       "      <td>-0.012992</td>\n",
       "      <td>-0.001871</td>\n",
       "      <td>-0.004252</td>\n",
       "      <td>-0.009043</td>\n",
       "      <td>0.002650</td>\n",
       "      <td>-0.000651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-25 00:00:00+00:00</th>\n",
       "      <td>-0.008206</td>\n",
       "      <td>0.001938</td>\n",
       "      <td>0.006805</td>\n",
       "      <td>-0.007151</td>\n",
       "      <td>-0.013744</td>\n",
       "      <td>0.004365</td>\n",
       "      <td>-0.000862</td>\n",
       "      <td>-0.002338</td>\n",
       "      <td>-0.002500</td>\n",
       "      <td>-0.002810</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.008888</td>\n",
       "      <td>-0.004458</td>\n",
       "      <td>-0.007690</td>\n",
       "      <td>-0.002792</td>\n",
       "      <td>-0.001913</td>\n",
       "      <td>0.004824</td>\n",
       "      <td>0.002894</td>\n",
       "      <td>-0.006174</td>\n",
       "      <td>-0.000309</td>\n",
       "      <td>0.000868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-27 00:00:00+00:00</th>\n",
       "      <td>-0.003256</td>\n",
       "      <td>0.009201</td>\n",
       "      <td>0.003285</td>\n",
       "      <td>-0.001863</td>\n",
       "      <td>-0.004803</td>\n",
       "      <td>0.000612</td>\n",
       "      <td>0.000210</td>\n",
       "      <td>0.003363</td>\n",
       "      <td>0.004359</td>\n",
       "      <td>0.003315</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004736</td>\n",
       "      <td>0.004478</td>\n",
       "      <td>-0.000257</td>\n",
       "      <td>0.002633</td>\n",
       "      <td>0.003795</td>\n",
       "      <td>-0.002140</td>\n",
       "      <td>0.005105</td>\n",
       "      <td>-0.002869</td>\n",
       "      <td>0.005013</td>\n",
       "      <td>0.002343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-30 00:00:00+00:00</th>\n",
       "      <td>-0.010209</td>\n",
       "      <td>-0.010321</td>\n",
       "      <td>-0.012798</td>\n",
       "      <td>0.004159</td>\n",
       "      <td>-0.030838</td>\n",
       "      <td>-0.003542</td>\n",
       "      <td>-0.011004</td>\n",
       "      <td>-0.002228</td>\n",
       "      <td>-0.007703</td>\n",
       "      <td>0.019522</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004212</td>\n",
       "      <td>0.009348</td>\n",
       "      <td>0.005294</td>\n",
       "      <td>-0.007363</td>\n",
       "      <td>-0.007524</td>\n",
       "      <td>-0.006928</td>\n",
       "      <td>-0.006183</td>\n",
       "      <td>0.000101</td>\n",
       "      <td>-0.004339</td>\n",
       "      <td>-0.008071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-01 00:00:00+00:00</th>\n",
       "      <td>0.015748</td>\n",
       "      <td>0.048493</td>\n",
       "      <td>-0.002396</td>\n",
       "      <td>-0.008116</td>\n",
       "      <td>0.014957</td>\n",
       "      <td>0.008718</td>\n",
       "      <td>0.012022</td>\n",
       "      <td>0.008480</td>\n",
       "      <td>0.011918</td>\n",
       "      <td>-0.000970</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015192</td>\n",
       "      <td>0.011075</td>\n",
       "      <td>0.002821</td>\n",
       "      <td>0.021600</td>\n",
       "      <td>0.013276</td>\n",
       "      <td>0.008582</td>\n",
       "      <td>0.027170</td>\n",
       "      <td>0.016927</td>\n",
       "      <td>0.015028</td>\n",
       "      <td>0.006632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-02 00:00:00+00:00</th>\n",
       "      <td>-0.005284</td>\n",
       "      <td>0.012930</td>\n",
       "      <td>-0.027166</td>\n",
       "      <td>-0.009030</td>\n",
       "      <td>-0.022022</td>\n",
       "      <td>-0.006534</td>\n",
       "      <td>-0.005287</td>\n",
       "      <td>-0.004991</td>\n",
       "      <td>-0.005727</td>\n",
       "      <td>-0.006990</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.003858</td>\n",
       "      <td>-0.024693</td>\n",
       "      <td>-0.028571</td>\n",
       "      <td>0.007572</td>\n",
       "      <td>-0.029962</td>\n",
       "      <td>-0.018335</td>\n",
       "      <td>0.006313</td>\n",
       "      <td>-0.004473</td>\n",
       "      <td>-0.015448</td>\n",
       "      <td>-0.013610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-03 00:00:00+00:00</th>\n",
       "      <td>-0.009521</td>\n",
       "      <td>-0.012555</td>\n",
       "      <td>-0.019944</td>\n",
       "      <td>-0.009292</td>\n",
       "      <td>-0.027724</td>\n",
       "      <td>-0.001415</td>\n",
       "      <td>-0.023650</td>\n",
       "      <td>-0.015429</td>\n",
       "      <td>-0.022930</td>\n",
       "      <td>-0.027826</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.008294</td>\n",
       "      <td>-0.010820</td>\n",
       "      <td>-0.014327</td>\n",
       "      <td>0.002733</td>\n",
       "      <td>-0.000959</td>\n",
       "      <td>-0.005676</td>\n",
       "      <td>-0.024272</td>\n",
       "      <td>-0.028367</td>\n",
       "      <td>-0.015725</td>\n",
       "      <td>-0.025244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-04 00:00:00+00:00</th>\n",
       "      <td>0.020199</td>\n",
       "      <td>0.039303</td>\n",
       "      <td>0.006779</td>\n",
       "      <td>0.033246</td>\n",
       "      <td>0.018899</td>\n",
       "      <td>0.011957</td>\n",
       "      <td>0.026046</td>\n",
       "      <td>0.029924</td>\n",
       "      <td>0.029696</td>\n",
       "      <td>0.002713</td>\n",
       "      <td>...</td>\n",
       "      <td>0.022211</td>\n",
       "      <td>0.010326</td>\n",
       "      <td>0.005736</td>\n",
       "      <td>0.007495</td>\n",
       "      <td>0.011599</td>\n",
       "      <td>0.024774</td>\n",
       "      <td>0.041159</td>\n",
       "      <td>0.011977</td>\n",
       "      <td>0.024452</td>\n",
       "      <td>0.027882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-07 00:00:00+00:00</th>\n",
       "      <td>-0.000340</td>\n",
       "      <td>0.018020</td>\n",
       "      <td>-0.029578</td>\n",
       "      <td>-0.006298</td>\n",
       "      <td>-0.015921</td>\n",
       "      <td>0.000898</td>\n",
       "      <td>0.005727</td>\n",
       "      <td>-0.001463</td>\n",
       "      <td>-0.032188</td>\n",
       "      <td>-0.011988</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.008791</td>\n",
       "      <td>-0.026122</td>\n",
       "      <td>-0.001900</td>\n",
       "      <td>-0.029576</td>\n",
       "      <td>-0.019647</td>\n",
       "      <td>0.003540</td>\n",
       "      <td>-0.001384</td>\n",
       "      <td>-0.042085</td>\n",
       "      <td>-0.011841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-08 00:00:00+00:00</th>\n",
       "      <td>-0.023307</td>\n",
       "      <td>-0.026876</td>\n",
       "      <td>-0.008866</td>\n",
       "      <td>-0.000425</td>\n",
       "      <td>0.007114</td>\n",
       "      <td>0.004906</td>\n",
       "      <td>-0.000209</td>\n",
       "      <td>-0.000280</td>\n",
       "      <td>0.023661</td>\n",
       "      <td>-0.008216</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.004606</td>\n",
       "      <td>-0.003910</td>\n",
       "      <td>-0.028251</td>\n",
       "      <td>-0.012067</td>\n",
       "      <td>-0.004930</td>\n",
       "      <td>-0.017074</td>\n",
       "      <td>-0.010735</td>\n",
       "      <td>-0.006277</td>\n",
       "      <td>-0.031813</td>\n",
       "      <td>0.000666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-09 00:00:00+00:00</th>\n",
       "      <td>-0.005170</td>\n",
       "      <td>-0.020213</td>\n",
       "      <td>0.022223</td>\n",
       "      <td>-0.022077</td>\n",
       "      <td>-0.011303</td>\n",
       "      <td>0.001984</td>\n",
       "      <td>-0.012948</td>\n",
       "      <td>-0.014876</td>\n",
       "      <td>-0.023550</td>\n",
       "      <td>-0.023608</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.013092</td>\n",
       "      <td>-0.009934</td>\n",
       "      <td>0.013390</td>\n",
       "      <td>-0.021066</td>\n",
       "      <td>-0.009869</td>\n",
       "      <td>-0.000570</td>\n",
       "      <td>-0.023679</td>\n",
       "      <td>0.002205</td>\n",
       "      <td>-0.007490</td>\n",
       "      <td>-0.015900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-10 00:00:00+00:00</th>\n",
       "      <td>0.015039</td>\n",
       "      <td>0.010092</td>\n",
       "      <td>-0.009466</td>\n",
       "      <td>0.004763</td>\n",
       "      <td>-0.004463</td>\n",
       "      <td>0.012720</td>\n",
       "      <td>0.007772</td>\n",
       "      <td>0.002897</td>\n",
       "      <td>-0.006699</td>\n",
       "      <td>0.008821</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.006757</td>\n",
       "      <td>0.001883</td>\n",
       "      <td>0.000798</td>\n",
       "      <td>-0.000317</td>\n",
       "      <td>0.014970</td>\n",
       "      <td>0.012138</td>\n",
       "      <td>-0.008256</td>\n",
       "      <td>-0.000297</td>\n",
       "      <td>0.014759</td>\n",
       "      <td>0.019695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-11 00:00:00+00:00</th>\n",
       "      <td>-0.012227</td>\n",
       "      <td>-0.045356</td>\n",
       "      <td>-0.019179</td>\n",
       "      <td>-0.025740</td>\n",
       "      <td>-0.031185</td>\n",
       "      <td>0.001280</td>\n",
       "      <td>-0.020962</td>\n",
       "      <td>-0.021380</td>\n",
       "      <td>0.027653</td>\n",
       "      <td>-0.003843</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.014938</td>\n",
       "      <td>-0.012713</td>\n",
       "      <td>-0.017840</td>\n",
       "      <td>-0.017755</td>\n",
       "      <td>-0.012793</td>\n",
       "      <td>-0.013062</td>\n",
       "      <td>-0.025836</td>\n",
       "      <td>-0.010112</td>\n",
       "      <td>-0.029782</td>\n",
       "      <td>-0.005856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 00:00:00+00:00</th>\n",
       "      <td>-0.011197</td>\n",
       "      <td>-0.007618</td>\n",
       "      <td>-0.008325</td>\n",
       "      <td>-0.006189</td>\n",
       "      <td>0.025898</td>\n",
       "      <td>0.004406</td>\n",
       "      <td>0.010145</td>\n",
       "      <td>0.010071</td>\n",
       "      <td>0.020127</td>\n",
       "      <td>-0.001938</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007216</td>\n",
       "      <td>-0.000941</td>\n",
       "      <td>0.022738</td>\n",
       "      <td>-0.001835</td>\n",
       "      <td>-0.017913</td>\n",
       "      <td>0.011580</td>\n",
       "      <td>0.004910</td>\n",
       "      <td>0.005356</td>\n",
       "      <td>-0.014991</td>\n",
       "      <td>0.016583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-15 00:00:00+00:00</th>\n",
       "      <td>0.024683</td>\n",
       "      <td>0.019768</td>\n",
       "      <td>0.057990</td>\n",
       "      <td>-0.017686</td>\n",
       "      <td>0.017133</td>\n",
       "      <td>-0.008194</td>\n",
       "      <td>0.017415</td>\n",
       "      <td>0.003386</td>\n",
       "      <td>0.008149</td>\n",
       "      <td>-0.004743</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015392</td>\n",
       "      <td>0.013516</td>\n",
       "      <td>0.044710</td>\n",
       "      <td>0.004357</td>\n",
       "      <td>0.016222</td>\n",
       "      <td>0.001635</td>\n",
       "      <td>0.013410</td>\n",
       "      <td>0.015787</td>\n",
       "      <td>0.035626</td>\n",
       "      <td>0.008156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-16 00:00:00+00:00</th>\n",
       "      <td>0.010780</td>\n",
       "      <td>0.014190</td>\n",
       "      <td>0.029771</td>\n",
       "      <td>0.007685</td>\n",
       "      <td>0.021998</td>\n",
       "      <td>-0.000985</td>\n",
       "      <td>0.010080</td>\n",
       "      <td>0.022107</td>\n",
       "      <td>0.016379</td>\n",
       "      <td>0.017336</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004713</td>\n",
       "      <td>0.000531</td>\n",
       "      <td>-0.003522</td>\n",
       "      <td>0.008507</td>\n",
       "      <td>0.024937</td>\n",
       "      <td>0.020719</td>\n",
       "      <td>0.012809</td>\n",
       "      <td>0.008606</td>\n",
       "      <td>0.010755</td>\n",
       "      <td>0.002538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-17 00:00:00+00:00</th>\n",
       "      <td>-0.017212</td>\n",
       "      <td>-0.017122</td>\n",
       "      <td>-0.048190</td>\n",
       "      <td>-0.021196</td>\n",
       "      <td>-0.021696</td>\n",
       "      <td>0.007386</td>\n",
       "      <td>-0.017153</td>\n",
       "      <td>-0.053355</td>\n",
       "      <td>-0.014232</td>\n",
       "      <td>-0.024510</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001564</td>\n",
       "      <td>-0.018147</td>\n",
       "      <td>-0.015037</td>\n",
       "      <td>-0.003142</td>\n",
       "      <td>-0.007787</td>\n",
       "      <td>-0.026697</td>\n",
       "      <td>-0.018224</td>\n",
       "      <td>-0.011966</td>\n",
       "      <td>-0.015960</td>\n",
       "      <td>-0.007637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-18 00:00:00+00:00</th>\n",
       "      <td>-0.041084</td>\n",
       "      <td>-0.032259</td>\n",
       "      <td>-0.022863</td>\n",
       "      <td>-0.027064</td>\n",
       "      <td>-0.011342</td>\n",
       "      <td>-0.004497</td>\n",
       "      <td>-0.034461</td>\n",
       "      <td>-0.012883</td>\n",
       "      <td>-0.030679</td>\n",
       "      <td>-0.016940</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.019013</td>\n",
       "      <td>-0.012314</td>\n",
       "      <td>-0.008724</td>\n",
       "      <td>-0.010451</td>\n",
       "      <td>-0.003944</td>\n",
       "      <td>-0.017002</td>\n",
       "      <td>-0.004991</td>\n",
       "      <td>-0.017384</td>\n",
       "      <td>-0.037845</td>\n",
       "      <td>-0.002791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-21 00:00:00+00:00</th>\n",
       "      <td>0.009455</td>\n",
       "      <td>0.031863</td>\n",
       "      <td>0.000531</td>\n",
       "      <td>0.012254</td>\n",
       "      <td>0.008245</td>\n",
       "      <td>0.009916</td>\n",
       "      <td>0.007778</td>\n",
       "      <td>0.010404</td>\n",
       "      <td>0.003395</td>\n",
       "      <td>0.011962</td>\n",
       "      <td>...</td>\n",
       "      <td>0.006358</td>\n",
       "      <td>0.016776</td>\n",
       "      <td>-0.000255</td>\n",
       "      <td>0.007035</td>\n",
       "      <td>0.014779</td>\n",
       "      <td>0.008360</td>\n",
       "      <td>0.021714</td>\n",
       "      <td>0.012842</td>\n",
       "      <td>0.002271</td>\n",
       "      <td>0.015894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-22 00:00:00+00:00</th>\n",
       "      <td>0.010502</td>\n",
       "      <td>0.011670</td>\n",
       "      <td>-0.011760</td>\n",
       "      <td>-0.000927</td>\n",
       "      <td>0.024746</td>\n",
       "      <td>0.002617</td>\n",
       "      <td>0.009978</td>\n",
       "      <td>0.007473</td>\n",
       "      <td>0.024012</td>\n",
       "      <td>0.003326</td>\n",
       "      <td>...</td>\n",
       "      <td>0.031671</td>\n",
       "      <td>0.002735</td>\n",
       "      <td>0.005054</td>\n",
       "      <td>0.010047</td>\n",
       "      <td>0.038863</td>\n",
       "      <td>0.009977</td>\n",
       "      <td>-0.005448</td>\n",
       "      <td>0.014966</td>\n",
       "      <td>0.014553</td>\n",
       "      <td>0.008027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-23 00:00:00+00:00</th>\n",
       "      <td>0.011803</td>\n",
       "      <td>0.009219</td>\n",
       "      <td>0.008325</td>\n",
       "      <td>0.012869</td>\n",
       "      <td>0.017178</td>\n",
       "      <td>0.007567</td>\n",
       "      <td>0.013950</td>\n",
       "      <td>0.006365</td>\n",
       "      <td>0.009380</td>\n",
       "      <td>0.008296</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009199</td>\n",
       "      <td>0.009501</td>\n",
       "      <td>0.032702</td>\n",
       "      <td>0.007586</td>\n",
       "      <td>0.011193</td>\n",
       "      <td>0.017237</td>\n",
       "      <td>0.015349</td>\n",
       "      <td>0.010219</td>\n",
       "      <td>0.018773</td>\n",
       "      <td>0.005444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-24 00:00:00+00:00</th>\n",
       "      <td>-0.003682</td>\n",
       "      <td>0.012022</td>\n",
       "      <td>0.000465</td>\n",
       "      <td>-0.005341</td>\n",
       "      <td>-0.002041</td>\n",
       "      <td>0.000090</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.001820</td>\n",
       "      <td>-0.004224</td>\n",
       "      <td>0.005673</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009623</td>\n",
       "      <td>-0.000620</td>\n",
       "      <td>-0.010724</td>\n",
       "      <td>-0.002127</td>\n",
       "      <td>0.005553</td>\n",
       "      <td>-0.001614</td>\n",
       "      <td>-0.001620</td>\n",
       "      <td>0.001364</td>\n",
       "      <td>0.003975</td>\n",
       "      <td>0.003121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-28 00:00:00+00:00</th>\n",
       "      <td>0.007040</td>\n",
       "      <td>-0.013259</td>\n",
       "      <td>0.009526</td>\n",
       "      <td>-0.011204</td>\n",
       "      <td>0.004953</td>\n",
       "      <td>0.002309</td>\n",
       "      <td>-0.001550</td>\n",
       "      <td>-0.001441</td>\n",
       "      <td>-0.001060</td>\n",
       "      <td>-0.006164</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000503</td>\n",
       "      <td>-0.001064</td>\n",
       "      <td>-0.007439</td>\n",
       "      <td>0.004930</td>\n",
       "      <td>-0.021138</td>\n",
       "      <td>-0.003484</td>\n",
       "      <td>-0.002177</td>\n",
       "      <td>-0.006413</td>\n",
       "      <td>-0.005033</td>\n",
       "      <td>-0.004784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-29 00:00:00+00:00</th>\n",
       "      <td>0.019443</td>\n",
       "      <td>0.006256</td>\n",
       "      <td>0.010957</td>\n",
       "      <td>0.017976</td>\n",
       "      <td>0.011911</td>\n",
       "      <td>0.005569</td>\n",
       "      <td>0.017542</td>\n",
       "      <td>0.011914</td>\n",
       "      <td>0.011996</td>\n",
       "      <td>0.015224</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013813</td>\n",
       "      <td>0.007964</td>\n",
       "      <td>0.005336</td>\n",
       "      <td>0.011436</td>\n",
       "      <td>0.011283</td>\n",
       "      <td>0.004307</td>\n",
       "      <td>0.005415</td>\n",
       "      <td>0.007235</td>\n",
       "      <td>0.006174</td>\n",
       "      <td>0.008997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-30 00:00:00+00:00</th>\n",
       "      <td>-0.006384</td>\n",
       "      <td>-0.016085</td>\n",
       "      <td>-0.005254</td>\n",
       "      <td>-0.013056</td>\n",
       "      <td>0.005904</td>\n",
       "      <td>0.002391</td>\n",
       "      <td>-0.012017</td>\n",
       "      <td>0.005124</td>\n",
       "      <td>-0.000524</td>\n",
       "      <td>-0.013256</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.014617</td>\n",
       "      <td>-0.007064</td>\n",
       "      <td>-0.013261</td>\n",
       "      <td>-0.008079</td>\n",
       "      <td>0.001847</td>\n",
       "      <td>-0.006182</td>\n",
       "      <td>-0.005781</td>\n",
       "      <td>-0.002921</td>\n",
       "      <td>-0.012235</td>\n",
       "      <td>-0.001454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-31 00:00:00+00:00</th>\n",
       "      <td>-0.012432</td>\n",
       "      <td>-0.010532</td>\n",
       "      <td>-0.005879</td>\n",
       "      <td>-0.019199</td>\n",
       "      <td>-0.009372</td>\n",
       "      <td>-0.012481</td>\n",
       "      <td>-0.007953</td>\n",
       "      <td>-0.012844</td>\n",
       "      <td>-0.014064</td>\n",
       "      <td>-0.021745</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.016052</td>\n",
       "      <td>-0.018175</td>\n",
       "      <td>-0.002050</td>\n",
       "      <td>-0.009119</td>\n",
       "      <td>-0.008371</td>\n",
       "      <td>-0.010031</td>\n",
       "      <td>-0.010299</td>\n",
       "      <td>0.001176</td>\n",
       "      <td>-0.006212</td>\n",
       "      <td>-0.007051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-04 00:00:00+00:00</th>\n",
       "      <td>-0.028282</td>\n",
       "      <td>-0.033988</td>\n",
       "      <td>0.011494</td>\n",
       "      <td>0.000855</td>\n",
       "      <td>-0.027512</td>\n",
       "      <td>-0.017741</td>\n",
       "      <td>-0.044067</td>\n",
       "      <td>-0.025551</td>\n",
       "      <td>-0.020971</td>\n",
       "      <td>-0.015919</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.024767</td>\n",
       "      <td>-0.024922</td>\n",
       "      <td>-0.006276</td>\n",
       "      <td>-0.032711</td>\n",
       "      <td>-0.031051</td>\n",
       "      <td>-0.011520</td>\n",
       "      <td>-0.011489</td>\n",
       "      <td>-0.007604</td>\n",
       "      <td>-0.021614</td>\n",
       "      <td>-0.013564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-05 00:00:00+00:00</th>\n",
       "      <td>0.004058</td>\n",
       "      <td>-0.009541</td>\n",
       "      <td>-0.006830</td>\n",
       "      <td>-0.025054</td>\n",
       "      <td>-0.004169</td>\n",
       "      <td>0.014629</td>\n",
       "      <td>-0.000247</td>\n",
       "      <td>0.005207</td>\n",
       "      <td>0.004023</td>\n",
       "      <td>-0.007347</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002098</td>\n",
       "      <td>0.014863</td>\n",
       "      <td>0.008511</td>\n",
       "      <td>0.020390</td>\n",
       "      <td>-0.001957</td>\n",
       "      <td>-0.000286</td>\n",
       "      <td>-0.002495</td>\n",
       "      <td>0.020820</td>\n",
       "      <td>-0.010853</td>\n",
       "      <td>0.015647</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1256 rows × 490 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Equity(0 [A])  Equity(1 [AAL])  Equity(2 [AAP])  \\\n",
       "2011-01-07 00:00:00+00:00       0.008437         0.014230         0.026702   \n",
       "2011-01-10 00:00:00+00:00      -0.004174         0.006195         0.007435   \n",
       "2011-01-11 00:00:00+00:00      -0.001886        -0.043644        -0.005927   \n",
       "2011-01-12 00:00:00+00:00       0.017254        -0.008237         0.013387   \n",
       "2011-01-13 00:00:00+00:00      -0.004559         0.000955         0.003031   \n",
       "2011-01-14 00:00:00+00:00       0.003439        -0.009156         0.003022   \n",
       "2011-01-18 00:00:00+00:00       0.034254        -0.062085        -0.004286   \n",
       "2011-01-19 00:00:00+00:00      -0.010224        -0.008929         0.008754   \n",
       "2011-01-20 00:00:00+00:00      -0.008496         0.021953        -0.004732   \n",
       "2011-01-21 00:00:00+00:00       0.007873        -0.041038         0.005544   \n",
       "2011-01-24 00:00:00+00:00       0.014646         0.027473        -0.001106   \n",
       "2011-01-25 00:00:00+00:00      -0.006736         0.002982         0.009146   \n",
       "2011-01-26 00:00:00+00:00      -0.030736         0.066133         0.003593   \n",
       "2011-01-27 00:00:00+00:00       0.007721         0.023178        -0.001553   \n",
       "2011-01-28 00:00:00+00:00      -0.018846        -0.080553        -0.000936   \n",
       "2011-01-31 00:00:00+00:00       0.003608        -0.023615        -0.002351   \n",
       "2011-02-01 00:00:00+00:00       0.011654        -0.001047        -0.009218   \n",
       "2011-02-02 00:00:00+00:00       0.010112        -0.039304        -0.027477   \n",
       "2011-02-03 00:00:00+00:00      -0.000289         0.007310         0.014126   \n",
       "2011-02-04 00:00:00+00:00       0.005627        -0.036500         0.024014   \n",
       "2011-02-07 00:00:00+00:00       0.007709         0.052046         0.008114   \n",
       "2011-02-08 00:00:00+00:00       0.010854         0.016455         0.006202   \n",
       "2011-02-09 00:00:00+00:00       0.004664         0.000000         0.016955   \n",
       "2011-02-10 00:00:00+00:00       0.000413        -0.003048        -0.011367   \n",
       "2011-02-11 00:00:00+00:00      -0.007150         0.028364         0.000764   \n",
       "2011-02-14 00:00:00+00:00       0.001663        -0.015790        -0.023274   \n",
       "2011-02-15 00:00:00+00:00      -0.011905         0.011043        -0.003926   \n",
       "2011-02-16 00:00:00+00:00       0.015123         0.001958         0.013860   \n",
       "2011-02-17 00:00:00+00:00      -0.003311        -0.017791        -0.024844   \n",
       "2011-02-18 00:00:00+00:00       0.011078        -0.020103        -0.006693   \n",
       "...                                  ...              ...              ...   \n",
       "2015-11-20 00:00:00+00:00       0.001072        -0.002373         0.002767   \n",
       "2015-11-23 00:00:00+00:00      -0.007094         0.002379        -0.001228   \n",
       "2015-11-24 00:00:00+00:00       0.002085        -0.025309         0.003504   \n",
       "2015-11-25 00:00:00+00:00      -0.008206         0.001938         0.006805   \n",
       "2015-11-27 00:00:00+00:00      -0.003256         0.009201         0.003285   \n",
       "2015-11-30 00:00:00+00:00      -0.010209        -0.010321        -0.012798   \n",
       "2015-12-01 00:00:00+00:00       0.015748         0.048493        -0.002396   \n",
       "2015-12-02 00:00:00+00:00      -0.005284         0.012930        -0.027166   \n",
       "2015-12-03 00:00:00+00:00      -0.009521        -0.012555        -0.019944   \n",
       "2015-12-04 00:00:00+00:00       0.020199         0.039303         0.006779   \n",
       "2015-12-07 00:00:00+00:00      -0.000340         0.018020        -0.029578   \n",
       "2015-12-08 00:00:00+00:00      -0.023307        -0.026876        -0.008866   \n",
       "2015-12-09 00:00:00+00:00      -0.005170        -0.020213         0.022223   \n",
       "2015-12-10 00:00:00+00:00       0.015039         0.010092        -0.009466   \n",
       "2015-12-11 00:00:00+00:00      -0.012227        -0.045356        -0.019179   \n",
       "2015-12-14 00:00:00+00:00      -0.011197        -0.007618        -0.008325   \n",
       "2015-12-15 00:00:00+00:00       0.024683         0.019768         0.057990   \n",
       "2015-12-16 00:00:00+00:00       0.010780         0.014190         0.029771   \n",
       "2015-12-17 00:00:00+00:00      -0.017212        -0.017122        -0.048190   \n",
       "2015-12-18 00:00:00+00:00      -0.041084        -0.032259        -0.022863   \n",
       "2015-12-21 00:00:00+00:00       0.009455         0.031863         0.000531   \n",
       "2015-12-22 00:00:00+00:00       0.010502         0.011670        -0.011760   \n",
       "2015-12-23 00:00:00+00:00       0.011803         0.009219         0.008325   \n",
       "2015-12-24 00:00:00+00:00      -0.003682         0.012022         0.000465   \n",
       "2015-12-28 00:00:00+00:00       0.007040        -0.013259         0.009526   \n",
       "2015-12-29 00:00:00+00:00       0.019443         0.006256         0.010957   \n",
       "2015-12-30 00:00:00+00:00      -0.006384        -0.016085        -0.005254   \n",
       "2015-12-31 00:00:00+00:00      -0.012432        -0.010532        -0.005879   \n",
       "2016-01-04 00:00:00+00:00      -0.028282        -0.033988         0.011494   \n",
       "2016-01-05 00:00:00+00:00       0.004058        -0.009541        -0.006830   \n",
       "\n",
       "                           Equity(3 [AAPL])  Equity(4 [ABBV])  \\\n",
       "2011-01-07 00:00:00+00:00          0.007146          0.000000   \n",
       "2011-01-10 00:00:00+00:00          0.018852          0.000000   \n",
       "2011-01-11 00:00:00+00:00         -0.002367          0.000000   \n",
       "2011-01-12 00:00:00+00:00          0.008133          0.000000   \n",
       "2011-01-13 00:00:00+00:00          0.003657          0.000000   \n",
       "2011-01-14 00:00:00+00:00          0.008106          0.000000   \n",
       "2011-01-18 00:00:00+00:00         -0.022474          0.000000   \n",
       "2011-01-19 00:00:00+00:00         -0.005314          0.000000   \n",
       "2011-01-20 00:00:00+00:00         -0.018189          0.000000   \n",
       "2011-01-21 00:00:00+00:00         -0.017911          0.000000   \n",
       "2011-01-24 00:00:00+00:00          0.032837          0.000000   \n",
       "2011-01-25 00:00:00+00:00          0.011710          0.000000   \n",
       "2011-01-26 00:00:00+00:00          0.007193          0.000000   \n",
       "2011-01-27 00:00:00+00:00         -0.001877          0.000000   \n",
       "2011-01-28 00:00:00+00:00         -0.020710          0.000000   \n",
       "2011-01-31 00:00:00+00:00          0.009578          0.000000   \n",
       "2011-02-01 00:00:00+00:00          0.016818          0.000000   \n",
       "2011-02-02 00:00:00+00:00         -0.002053          0.000000   \n",
       "2011-02-03 00:00:00+00:00         -0.002560          0.000000   \n",
       "2011-02-04 00:00:00+00:00          0.008915          0.000000   \n",
       "2011-02-07 00:00:00+00:00          0.015538          0.000000   \n",
       "2011-02-08 00:00:00+00:00          0.009440          0.000000   \n",
       "2011-02-09 00:00:00+00:00          0.008332          0.000000   \n",
       "2011-02-10 00:00:00+00:00         -0.010109          0.000000   \n",
       "2011-02-11 00:00:00+00:00          0.006505          0.000000   \n",
       "2011-02-14 00:00:00+00:00          0.006529          0.000000   \n",
       "2011-02-15 00:00:00+00:00          0.002016          0.000000   \n",
       "2011-02-16 00:00:00+00:00          0.008967          0.000000   \n",
       "2011-02-17 00:00:00+00:00         -0.013309          0.000000   \n",
       "2011-02-18 00:00:00+00:00         -0.021595          0.000000   \n",
       "...                                     ...               ...   \n",
       "2015-11-20 00:00:00+00:00          0.004381          0.009256   \n",
       "2015-11-23 00:00:00+00:00         -0.012989          0.000646   \n",
       "2015-11-24 00:00:00+00:00          0.009594         -0.000323   \n",
       "2015-11-25 00:00:00+00:00         -0.007151         -0.013744   \n",
       "2015-11-27 00:00:00+00:00         -0.001863         -0.004803   \n",
       "2015-11-30 00:00:00+00:00          0.004159         -0.030838   \n",
       "2015-12-01 00:00:00+00:00         -0.008116          0.014957   \n",
       "2015-12-02 00:00:00+00:00         -0.009030         -0.022022   \n",
       "2015-12-03 00:00:00+00:00         -0.009292         -0.027724   \n",
       "2015-12-04 00:00:00+00:00          0.033246          0.018899   \n",
       "2015-12-07 00:00:00+00:00         -0.006298         -0.015921   \n",
       "2015-12-08 00:00:00+00:00         -0.000425          0.007114   \n",
       "2015-12-09 00:00:00+00:00         -0.022077         -0.011303   \n",
       "2015-12-10 00:00:00+00:00          0.004763         -0.004463   \n",
       "2015-12-11 00:00:00+00:00         -0.025740         -0.031185   \n",
       "2015-12-14 00:00:00+00:00         -0.006189          0.025898   \n",
       "2015-12-15 00:00:00+00:00         -0.017686          0.017133   \n",
       "2015-12-16 00:00:00+00:00          0.007685          0.021998   \n",
       "2015-12-17 00:00:00+00:00         -0.021196         -0.021696   \n",
       "2015-12-18 00:00:00+00:00         -0.027064         -0.011342   \n",
       "2015-12-21 00:00:00+00:00          0.012254          0.008245   \n",
       "2015-12-22 00:00:00+00:00         -0.000927          0.024746   \n",
       "2015-12-23 00:00:00+00:00          0.012869          0.017178   \n",
       "2015-12-24 00:00:00+00:00         -0.005341         -0.002041   \n",
       "2015-12-28 00:00:00+00:00         -0.011204          0.004953   \n",
       "2015-12-29 00:00:00+00:00          0.017976          0.011911   \n",
       "2015-12-30 00:00:00+00:00         -0.013056          0.005904   \n",
       "2015-12-31 00:00:00+00:00         -0.019199         -0.009372   \n",
       "2016-01-04 00:00:00+00:00          0.000855         -0.027512   \n",
       "2016-01-05 00:00:00+00:00         -0.025054         -0.004169   \n",
       "\n",
       "                           Equity(5 [ABC])  Equity(6 [ABT])  Equity(7 [ACN])  \\\n",
       "2011-01-07 00:00:00+00:00         0.001994         0.004165         0.001648   \n",
       "2011-01-10 00:00:00+00:00        -0.005714        -0.008896        -0.008854   \n",
       "2011-01-11 00:00:00+00:00         0.009783        -0.002067         0.013717   \n",
       "2011-01-12 00:00:00+00:00        -0.005979        -0.001011         0.022969   \n",
       "2011-01-13 00:00:00+00:00         0.014925        -0.004451        -0.000400   \n",
       "2011-01-14 00:00:00+00:00         0.001395        -0.010111         0.002590   \n",
       "2011-01-18 00:00:00+00:00         0.020889         0.006621         0.006998   \n",
       "2011-01-19 00:00:00+00:00        -0.017144         0.002753        -0.002962   \n",
       "2011-01-20 00:00:00+00:00         0.004794         0.013322         0.018713   \n",
       "2011-01-21 00:00:00+00:00         0.010642        -0.000853        -0.001952   \n",
       "2011-01-24 00:00:00+00:00         0.005249         0.005223         0.008420   \n",
       "2011-01-25 00:00:00+00:00        -0.009363        -0.004347         0.004859   \n",
       "2011-01-26 00:00:00+00:00         0.012227        -0.025241         0.012192   \n",
       "2011-01-27 00:00:00+00:00         0.011833        -0.007928         0.000179   \n",
       "2011-01-28 00:00:00+00:00        -0.022262        -0.019200        -0.016035   \n",
       "2011-01-31 00:00:00+00:00        -0.003893        -0.007248        -0.000980   \n",
       "2011-02-01 00:00:00+00:00         0.011976         0.001546         0.017498   \n",
       "2011-02-02 00:00:00+00:00        -0.021197         0.011068         0.003632   \n",
       "2011-02-03 00:00:00+00:00        -0.003662         0.005894         0.004178   \n",
       "2011-02-04 00:00:00+00:00         0.033047         0.002616        -0.004360   \n",
       "2011-02-07 00:00:00+00:00        -0.002178        -0.009341         0.002279   \n",
       "2011-02-08 00:00:00+00:00         0.002182        -0.001738        -0.000557   \n",
       "2011-02-09 00:00:00+00:00         0.003006        -0.001530         0.001138   \n",
       "2011-02-10 00:00:00+00:00         0.001101        -0.001110         0.005503   \n",
       "2011-02-11 00:00:00+00:00        -0.001375         0.001534        -0.011146   \n",
       "2011-02-14 00:00:00+00:00         0.005750         0.009245         0.000202   \n",
       "2011-02-15 00:00:00+00:00        -0.007329         0.016750        -0.008021   \n",
       "2011-02-16 00:00:00+00:00        -0.003554        -0.010502         0.027329   \n",
       "2011-02-17 00:00:00+00:00         0.029148         0.001301         0.011784   \n",
       "2011-02-18 00:00:00+00:00         0.009620         0.012106        -0.007953   \n",
       "...                                    ...              ...              ...   \n",
       "2015-11-20 00:00:00+00:00        -0.000905         0.006113         0.006430   \n",
       "2015-11-23 00:00:00+00:00        -0.003728        -0.012381        -0.001206   \n",
       "2015-11-24 00:00:00+00:00        -0.002336         0.000210        -0.004537   \n",
       "2015-11-25 00:00:00+00:00         0.004365        -0.000862        -0.002338   \n",
       "2015-11-27 00:00:00+00:00         0.000612         0.000210         0.003363   \n",
       "2015-11-30 00:00:00+00:00        -0.003542        -0.011004        -0.002228   \n",
       "2015-12-01 00:00:00+00:00         0.008718         0.012022         0.008480   \n",
       "2015-12-02 00:00:00+00:00        -0.006534        -0.005287        -0.004991   \n",
       "2015-12-03 00:00:00+00:00        -0.001415        -0.023650        -0.015429   \n",
       "2015-12-04 00:00:00+00:00         0.011957         0.026046         0.029924   \n",
       "2015-12-07 00:00:00+00:00         0.000898         0.005727        -0.001463   \n",
       "2015-12-08 00:00:00+00:00         0.004906        -0.000209        -0.000280   \n",
       "2015-12-09 00:00:00+00:00         0.001984        -0.012948        -0.014876   \n",
       "2015-12-10 00:00:00+00:00         0.012720         0.007772         0.002897   \n",
       "2015-12-11 00:00:00+00:00         0.001280        -0.020962        -0.021380   \n",
       "2015-12-14 00:00:00+00:00         0.004406         0.010145         0.010071   \n",
       "2015-12-15 00:00:00+00:00        -0.008194         0.017415         0.003386   \n",
       "2015-12-16 00:00:00+00:00        -0.000985         0.010080         0.022107   \n",
       "2015-12-17 00:00:00+00:00         0.007386        -0.017153        -0.053355   \n",
       "2015-12-18 00:00:00+00:00        -0.004497        -0.034461        -0.012883   \n",
       "2015-12-21 00:00:00+00:00         0.009916         0.007778         0.010404   \n",
       "2015-12-22 00:00:00+00:00         0.002617         0.009978         0.007473   \n",
       "2015-12-23 00:00:00+00:00         0.007567         0.013950         0.006365   \n",
       "2015-12-24 00:00:00+00:00         0.000090         0.000000        -0.001820   \n",
       "2015-12-28 00:00:00+00:00         0.002309        -0.001550        -0.001441   \n",
       "2015-12-29 00:00:00+00:00         0.005569         0.017542         0.011914   \n",
       "2015-12-30 00:00:00+00:00         0.002391        -0.012017         0.005124   \n",
       "2015-12-31 00:00:00+00:00        -0.012481        -0.007953        -0.012844   \n",
       "2016-01-04 00:00:00+00:00        -0.017741        -0.044067        -0.025551   \n",
       "2016-01-05 00:00:00+00:00         0.014629        -0.000247         0.005207   \n",
       "\n",
       "                           Equity(8 [ADBE])  Equity(9 [ADI])  \\\n",
       "2011-01-07 00:00:00+00:00         -0.007127        -0.005818   \n",
       "2011-01-10 00:00:00+00:00          0.028714         0.002926   \n",
       "2011-01-11 00:00:00+00:00          0.000607         0.008753   \n",
       "2011-01-12 00:00:00+00:00          0.017950         0.000257   \n",
       "2011-01-13 00:00:00+00:00         -0.005719        -0.005012   \n",
       "2011-01-14 00:00:00+00:00          0.012283         0.019827   \n",
       "2011-01-18 00:00:00+00:00          0.011542         0.032645   \n",
       "2011-01-19 00:00:00+00:00         -0.007899        -0.020575   \n",
       "2011-01-20 00:00:00+00:00         -0.012386        -0.002818   \n",
       "2011-01-21 00:00:00+00:00         -0.006569        -0.004113   \n",
       "2011-01-24 00:00:00+00:00          0.022843         0.014974   \n",
       "2011-01-25 00:00:00+00:00         -0.013811        -0.014505   \n",
       "2011-01-26 00:00:00+00:00         -0.001192         0.002837   \n",
       "2011-01-27 00:00:00+00:00          0.009845         0.007480   \n",
       "2011-01-28 00:00:00+00:00         -0.040177        -0.022460   \n",
       "2011-01-31 00:00:00+00:00          0.017236         0.013818   \n",
       "2011-02-01 00:00:00+00:00          0.013918         0.021624   \n",
       "2011-02-02 00:00:00+00:00         -0.002387         0.002280   \n",
       "2011-02-03 00:00:00+00:00          0.002991        -0.013341   \n",
       "2011-02-04 00:00:00+00:00         -0.005070         0.019659   \n",
       "2011-02-07 00:00:00+00:00          0.005995        -0.003514   \n",
       "2011-02-08 00:00:00+00:00          0.000298        -0.006010   \n",
       "2011-02-09 00:00:00+00:00         -0.016682         0.004781   \n",
       "2011-02-10 00:00:00+00:00          0.016965         0.004513   \n",
       "2011-02-11 00:00:00+00:00          0.002979         0.015007   \n",
       "2011-02-14 00:00:00+00:00          0.005643         0.009877   \n",
       "2011-02-15 00:00:00+00:00          0.002363         0.000239   \n",
       "2011-02-16 00:00:00+00:00          0.022098        -0.003905   \n",
       "2011-02-17 00:00:00+00:00          0.008360         0.008559   \n",
       "2011-02-18 00:00:00+00:00          0.011721        -0.001691   \n",
       "...                                     ...              ...   \n",
       "2015-11-20 00:00:00+00:00          0.000545        -0.005843   \n",
       "2015-11-23 00:00:00+00:00          0.001634        -0.044107   \n",
       "2015-11-24 00:00:00+00:00          0.000435         0.063741   \n",
       "2015-11-25 00:00:00+00:00         -0.002500        -0.002810   \n",
       "2015-11-27 00:00:00+00:00          0.004359         0.003315   \n",
       "2015-11-30 00:00:00+00:00         -0.007703         0.019522   \n",
       "2015-12-01 00:00:00+00:00          0.011918        -0.000970   \n",
       "2015-12-02 00:00:00+00:00         -0.005727        -0.006990   \n",
       "2015-12-03 00:00:00+00:00         -0.022930        -0.027826   \n",
       "2015-12-04 00:00:00+00:00          0.029696         0.002713   \n",
       "2015-12-07 00:00:00+00:00         -0.032188        -0.011988   \n",
       "2015-12-08 00:00:00+00:00          0.023661        -0.008216   \n",
       "2015-12-09 00:00:00+00:00         -0.023550        -0.023608   \n",
       "2015-12-10 00:00:00+00:00         -0.006699         0.008821   \n",
       "2015-12-11 00:00:00+00:00          0.027653        -0.003843   \n",
       "2015-12-14 00:00:00+00:00          0.020127        -0.001938   \n",
       "2015-12-15 00:00:00+00:00          0.008149        -0.004743   \n",
       "2015-12-16 00:00:00+00:00          0.016379         0.017336   \n",
       "2015-12-17 00:00:00+00:00         -0.014232        -0.024510   \n",
       "2015-12-18 00:00:00+00:00         -0.030679        -0.016940   \n",
       "2015-12-21 00:00:00+00:00          0.003395         0.011962   \n",
       "2015-12-22 00:00:00+00:00          0.024012         0.003326   \n",
       "2015-12-23 00:00:00+00:00          0.009380         0.008296   \n",
       "2015-12-24 00:00:00+00:00         -0.004224         0.005673   \n",
       "2015-12-28 00:00:00+00:00         -0.001060        -0.006164   \n",
       "2015-12-29 00:00:00+00:00          0.011996         0.015224   \n",
       "2015-12-30 00:00:00+00:00         -0.000524        -0.013256   \n",
       "2015-12-31 00:00:00+00:00         -0.014064        -0.021745   \n",
       "2016-01-04 00:00:00+00:00         -0.020971        -0.015919   \n",
       "2016-01-05 00:00:00+00:00          0.004023        -0.007347   \n",
       "\n",
       "                                 ...          Equity(481 [XL])  \\\n",
       "2011-01-07 00:00:00+00:00        ...                 -0.001838   \n",
       "2011-01-10 00:00:00+00:00        ...                  0.000947   \n",
       "2011-01-11 00:00:00+00:00        ...                  0.001314   \n",
       "2011-01-12 00:00:00+00:00        ...                  0.004986   \n",
       "2011-01-13 00:00:00+00:00        ...                  0.030499   \n",
       "2011-01-14 00:00:00+00:00        ...                  0.026607   \n",
       "2011-01-18 00:00:00+00:00        ...                  0.001678   \n",
       "2011-01-19 00:00:00+00:00        ...                 -0.014834   \n",
       "2011-01-20 00:00:00+00:00        ...                 -0.024512   \n",
       "2011-01-21 00:00:00+00:00        ...                  0.000000   \n",
       "2011-01-24 00:00:00+00:00        ...                  0.012359   \n",
       "2011-01-25 00:00:00+00:00        ...                  0.002178   \n",
       "2011-01-26 00:00:00+00:00        ...                  0.002628   \n",
       "2011-01-27 00:00:00+00:00        ...                  0.014267   \n",
       "2011-01-28 00:00:00+00:00        ...                 -0.025647   \n",
       "2011-01-31 00:00:00+00:00        ...                  0.004846   \n",
       "2011-02-01 00:00:00+00:00        ...                  0.015687   \n",
       "2011-02-02 00:00:00+00:00        ...                 -0.012846   \n",
       "2011-02-03 00:00:00+00:00        ...                  0.010430   \n",
       "2011-02-04 00:00:00+00:00        ...                  0.009471   \n",
       "2011-02-07 00:00:00+00:00        ...                  0.006801   \n",
       "2011-02-08 00:00:00+00:00        ...                  0.003846   \n",
       "2011-02-09 00:00:00+00:00        ...                 -0.011837   \n",
       "2011-02-10 00:00:00+00:00        ...                 -0.008947   \n",
       "2011-02-11 00:00:00+00:00        ...                  0.001705   \n",
       "2011-02-14 00:00:00+00:00        ...                 -0.011616   \n",
       "2011-02-15 00:00:00+00:00        ...                 -0.006079   \n",
       "2011-02-16 00:00:00+00:00        ...                  0.009174   \n",
       "2011-02-17 00:00:00+00:00        ...                  0.015656   \n",
       "2011-02-18 00:00:00+00:00        ...                  0.053404   \n",
       "...                              ...                       ...   \n",
       "2015-11-20 00:00:00+00:00        ...                  0.008131   \n",
       "2015-11-23 00:00:00+00:00        ...                 -0.004696   \n",
       "2015-11-24 00:00:00+00:00        ...                 -0.000777   \n",
       "2015-11-25 00:00:00+00:00        ...                 -0.008888   \n",
       "2015-11-27 00:00:00+00:00        ...                  0.004736   \n",
       "2015-11-30 00:00:00+00:00        ...                  0.004212   \n",
       "2015-12-01 00:00:00+00:00        ...                  0.015192   \n",
       "2015-12-02 00:00:00+00:00        ...                 -0.003858   \n",
       "2015-12-03 00:00:00+00:00        ...                 -0.008294   \n",
       "2015-12-04 00:00:00+00:00        ...                  0.022211   \n",
       "2015-12-07 00:00:00+00:00        ...                  0.000000   \n",
       "2015-12-08 00:00:00+00:00        ...                 -0.004606   \n",
       "2015-12-09 00:00:00+00:00        ...                 -0.013092   \n",
       "2015-12-10 00:00:00+00:00        ...                 -0.006757   \n",
       "2015-12-11 00:00:00+00:00        ...                 -0.014938   \n",
       "2015-12-14 00:00:00+00:00        ...                  0.007216   \n",
       "2015-12-15 00:00:00+00:00        ...                  0.015392   \n",
       "2015-12-16 00:00:00+00:00        ...                  0.004713   \n",
       "2015-12-17 00:00:00+00:00        ...                 -0.001564   \n",
       "2015-12-18 00:00:00+00:00        ...                 -0.019013   \n",
       "2015-12-21 00:00:00+00:00        ...                  0.006358   \n",
       "2015-12-22 00:00:00+00:00        ...                  0.031671   \n",
       "2015-12-23 00:00:00+00:00        ...                  0.009199   \n",
       "2015-12-24 00:00:00+00:00        ...                  0.009623   \n",
       "2015-12-28 00:00:00+00:00        ...                  0.000503   \n",
       "2015-12-29 00:00:00+00:00        ...                  0.013813   \n",
       "2015-12-30 00:00:00+00:00        ...                 -0.014617   \n",
       "2015-12-31 00:00:00+00:00        ...                 -0.016052   \n",
       "2016-01-04 00:00:00+00:00        ...                 -0.024767   \n",
       "2016-01-05 00:00:00+00:00        ...                  0.002098   \n",
       "\n",
       "                           Equity(482 [XLNX])  Equity(483 [XOM])  \\\n",
       "2011-01-07 00:00:00+00:00           -0.005619           0.005461   \n",
       "2011-01-10 00:00:00+00:00            0.007814          -0.006081   \n",
       "2011-01-11 00:00:00+00:00            0.010179           0.007442   \n",
       "2011-01-12 00:00:00+00:00            0.015666           0.011763   \n",
       "2011-01-13 00:00:00+00:00           -0.003217           0.001694   \n",
       "2011-01-14 00:00:00+00:00            0.025894           0.014743   \n",
       "2011-01-18 00:00:00+00:00            0.002501           0.011163   \n",
       "2011-01-19 00:00:00+00:00           -0.023590          -0.005968   \n",
       "2011-01-20 00:00:00+00:00            0.007744          -0.006261   \n",
       "2011-01-21 00:00:00+00:00            0.000615           0.015825   \n",
       "2011-01-24 00:00:00+00:00            0.016011          -0.004943   \n",
       "2011-01-25 00:00:00+00:00            0.006273           0.001154   \n",
       "2011-01-26 00:00:00+00:00            0.005934           0.012453   \n",
       "2011-01-27 00:00:00+00:00            0.021169           0.002751   \n",
       "2011-01-28 00:00:00+00:00           -0.020108          -0.011131   \n",
       "2011-01-31 00:00:00+00:00            0.000298           0.021396   \n",
       "2011-02-01 00:00:00+00:00            0.032003           0.040037   \n",
       "2011-02-02 00:00:00+00:00           -0.004518          -0.005958   \n",
       "2011-02-03 00:00:00+00:00           -0.008169           0.000347   \n",
       "2011-02-04 00:00:00+00:00            0.024709          -0.001917   \n",
       "2011-02-07 00:00:00+00:00           -0.005073           0.007803   \n",
       "2011-02-08 00:00:00+00:00            0.001795          -0.006077   \n",
       "2011-02-09 00:00:00+00:00           -0.001792          -0.005178   \n",
       "2011-02-10 00:00:00+00:00            0.003914           0.007876   \n",
       "2011-02-11 00:00:00+00:00            0.010765          -0.004562   \n",
       "2011-02-14 00:00:00+00:00            0.000318           0.025230   \n",
       "2011-02-15 00:00:00+00:00           -0.001804          -0.022853   \n",
       "2011-02-16 00:00:00+00:00            0.003863           0.008682   \n",
       "2011-02-17 00:00:00+00:00            0.000318           0.002275   \n",
       "2011-02-18 00:00:00+00:00            0.001447           0.007393   \n",
       "...                                       ...                ...   \n",
       "2015-11-20 00:00:00+00:00            0.000412          -0.006352   \n",
       "2015-11-23 00:00:00+00:00           -0.006955           0.006131   \n",
       "2015-11-24 00:00:00+00:00            0.012960           0.019935   \n",
       "2015-11-25 00:00:00+00:00           -0.004458          -0.007690   \n",
       "2015-11-27 00:00:00+00:00            0.004478          -0.000257   \n",
       "2015-11-30 00:00:00+00:00            0.009348           0.005294   \n",
       "2015-12-01 00:00:00+00:00            0.011075           0.002821   \n",
       "2015-12-02 00:00:00+00:00           -0.024693          -0.028571   \n",
       "2015-12-03 00:00:00+00:00           -0.010820          -0.014327   \n",
       "2015-12-04 00:00:00+00:00            0.010326           0.005736   \n",
       "2015-12-07 00:00:00+00:00           -0.008791          -0.026122   \n",
       "2015-12-08 00:00:00+00:00           -0.003910          -0.028251   \n",
       "2015-12-09 00:00:00+00:00           -0.009934           0.013390   \n",
       "2015-12-10 00:00:00+00:00            0.001883           0.000798   \n",
       "2015-12-11 00:00:00+00:00           -0.012713          -0.017840   \n",
       "2015-12-14 00:00:00+00:00           -0.000941           0.022738   \n",
       "2015-12-15 00:00:00+00:00            0.013516           0.044710   \n",
       "2015-12-16 00:00:00+00:00            0.000531          -0.003522   \n",
       "2015-12-17 00:00:00+00:00           -0.018147          -0.015037   \n",
       "2015-12-18 00:00:00+00:00           -0.012314          -0.008724   \n",
       "2015-12-21 00:00:00+00:00            0.016776          -0.000255   \n",
       "2015-12-22 00:00:00+00:00            0.002735           0.005054   \n",
       "2015-12-23 00:00:00+00:00            0.009501           0.032702   \n",
       "2015-12-24 00:00:00+00:00           -0.000620          -0.010724   \n",
       "2015-12-28 00:00:00+00:00           -0.001064          -0.007439   \n",
       "2015-12-29 00:00:00+00:00            0.007964           0.005336   \n",
       "2015-12-30 00:00:00+00:00           -0.007064          -0.013261   \n",
       "2015-12-31 00:00:00+00:00           -0.018175          -0.002050   \n",
       "2016-01-04 00:00:00+00:00           -0.024922          -0.006276   \n",
       "2016-01-05 00:00:00+00:00            0.014863           0.008511   \n",
       "\n",
       "                           Equity(484 [XRAY])  Equity(485 [XRX])  \\\n",
       "2011-01-07 00:00:00+00:00           -0.004044          -0.013953   \n",
       "2011-01-10 00:00:00+00:00            0.010466           0.009733   \n",
       "2011-01-11 00:00:00+00:00            0.007351           0.006116   \n",
       "2011-01-12 00:00:00+00:00            0.027182           0.004386   \n",
       "2011-01-13 00:00:00+00:00            0.000547          -0.018235   \n",
       "2011-01-14 00:00:00+00:00           -0.000287           0.026494   \n",
       "2011-01-18 00:00:00+00:00            0.011589           0.006044   \n",
       "2011-01-19 00:00:00+00:00           -0.019899          -0.012847   \n",
       "2011-01-20 00:00:00+00:00           -0.000841          -0.033798   \n",
       "2011-01-21 00:00:00+00:00           -0.003048          -0.000872   \n",
       "2011-01-24 00:00:00+00:00            0.001660           0.008049   \n",
       "2011-01-25 00:00:00+00:00            0.001134           0.015143   \n",
       "2011-01-26 00:00:00+00:00            0.000552          -0.076291   \n",
       "2011-01-27 00:00:00+00:00            0.016396           0.024664   \n",
       "2011-01-28 00:00:00+00:00           -0.021871          -0.022229   \n",
       "2011-01-31 00:00:00+00:00           -0.007560           0.006615   \n",
       "2011-02-01 00:00:00+00:00            0.024795           0.024498   \n",
       "2011-02-02 00:00:00+00:00           -0.010390          -0.001827   \n",
       "2011-02-03 00:00:00+00:00            0.008556           0.004596   \n",
       "2011-02-04 00:00:00+00:00            0.003048          -0.005506   \n",
       "2011-02-07 00:00:00+00:00            0.006852           0.002768   \n",
       "2011-02-08 00:00:00+00:00            0.005182          -0.002761   \n",
       "2011-02-09 00:00:00+00:00           -0.018441           0.003705   \n",
       "2011-02-10 00:00:00+00:00            0.005512          -0.004624   \n",
       "2011-02-11 00:00:00+00:00            0.007147           0.012021   \n",
       "2011-02-14 00:00:00+00:00           -0.005443           0.005476   \n",
       "2011-02-15 00:00:00+00:00            0.004097           0.003604   \n",
       "2011-02-16 00:00:00+00:00            0.000285           0.027093   \n",
       "2011-02-17 00:00:00+00:00           -0.001911           0.000000   \n",
       "2011-02-18 00:00:00+00:00            0.013148          -0.004390   \n",
       "...                                       ...                ...   \n",
       "2015-11-20 00:00:00+00:00            0.002793           0.002899   \n",
       "2015-11-23 00:00:00+00:00            0.007345           0.027692   \n",
       "2015-11-24 00:00:00+00:00           -0.009563          -0.012992   \n",
       "2015-11-25 00:00:00+00:00           -0.002792          -0.001913   \n",
       "2015-11-27 00:00:00+00:00            0.002633           0.003795   \n",
       "2015-11-30 00:00:00+00:00           -0.007363          -0.007524   \n",
       "2015-12-01 00:00:00+00:00            0.021600           0.013276   \n",
       "2015-12-02 00:00:00+00:00            0.007572          -0.029962   \n",
       "2015-12-03 00:00:00+00:00            0.002733          -0.000959   \n",
       "2015-12-04 00:00:00+00:00            0.007495           0.011599   \n",
       "2015-12-07 00:00:00+00:00           -0.001900          -0.029576   \n",
       "2015-12-08 00:00:00+00:00           -0.012067          -0.004930   \n",
       "2015-12-09 00:00:00+00:00           -0.021066          -0.009869   \n",
       "2015-12-10 00:00:00+00:00           -0.000317           0.014970   \n",
       "2015-12-11 00:00:00+00:00           -0.017755          -0.012793   \n",
       "2015-12-14 00:00:00+00:00           -0.001835          -0.017913   \n",
       "2015-12-15 00:00:00+00:00            0.004357           0.016222   \n",
       "2015-12-16 00:00:00+00:00            0.008507           0.024937   \n",
       "2015-12-17 00:00:00+00:00           -0.003142          -0.007787   \n",
       "2015-12-18 00:00:00+00:00           -0.010451          -0.003944   \n",
       "2015-12-21 00:00:00+00:00            0.007035           0.014779   \n",
       "2015-12-22 00:00:00+00:00            0.010047           0.038863   \n",
       "2015-12-23 00:00:00+00:00            0.007586           0.011193   \n",
       "2015-12-24 00:00:00+00:00           -0.002127           0.005553   \n",
       "2015-12-28 00:00:00+00:00            0.004930          -0.021138   \n",
       "2015-12-29 00:00:00+00:00            0.011436           0.011283   \n",
       "2015-12-30 00:00:00+00:00           -0.008079           0.001847   \n",
       "2015-12-31 00:00:00+00:00           -0.009119          -0.008371   \n",
       "2016-01-04 00:00:00+00:00           -0.032711          -0.031051   \n",
       "2016-01-05 00:00:00+00:00            0.020390          -0.001957   \n",
       "\n",
       "                           Equity(486 [XYL])  Equity(487 [YUM])  \\\n",
       "2011-01-07 00:00:00+00:00           0.000000           0.012457   \n",
       "2011-01-10 00:00:00+00:00           0.000000           0.001440   \n",
       "2011-01-11 00:00:00+00:00           0.000000          -0.006470   \n",
       "2011-01-12 00:00:00+00:00           0.000000           0.002631   \n",
       "2011-01-13 00:00:00+00:00           0.000000          -0.005084   \n",
       "2011-01-14 00:00:00+00:00           0.000000          -0.021661   \n",
       "2011-01-18 00:00:00+00:00           0.000000           0.029453   \n",
       "2011-01-19 00:00:00+00:00           0.000000           0.000818   \n",
       "2011-01-20 00:00:00+00:00           0.000000          -0.013182   \n",
       "2011-01-21 00:00:00+00:00           0.000000          -0.007590   \n",
       "2011-01-24 00:00:00+00:00           0.000000           0.000601   \n",
       "2011-01-25 00:00:00+00:00           0.000000          -0.006208   \n",
       "2011-01-26 00:00:00+00:00           0.000000          -0.004803   \n",
       "2011-01-27 00:00:00+00:00           0.000000          -0.003746   \n",
       "2011-01-28 00:00:00+00:00           0.000000          -0.025001   \n",
       "2011-01-31 00:00:00+00:00           0.000000           0.007748   \n",
       "2011-02-01 00:00:00+00:00           0.000000           0.014102   \n",
       "2011-02-02 00:00:00+00:00           0.000000           0.006562   \n",
       "2011-02-03 00:00:00+00:00           0.000000           0.031413   \n",
       "2011-02-04 00:00:00+00:00           0.000000           0.001408   \n",
       "2011-02-07 00:00:00+00:00           0.000000           0.002028   \n",
       "2011-02-08 00:00:00+00:00           0.000000           0.003851   \n",
       "2011-02-09 00:00:00+00:00           0.000000          -0.001821   \n",
       "2011-02-10 00:00:00+00:00           0.000000           0.004853   \n",
       "2011-02-11 00:00:00+00:00           0.000000           0.000616   \n",
       "2011-02-14 00:00:00+00:00           0.000000           0.010657   \n",
       "2011-02-15 00:00:00+00:00           0.000000           0.008526   \n",
       "2011-02-16 00:00:00+00:00           0.000000           0.008898   \n",
       "2011-02-17 00:00:00+00:00           0.000000           0.003906   \n",
       "2011-02-18 00:00:00+00:00           0.000000          -0.004110   \n",
       "...                                      ...                ...   \n",
       "2015-11-20 00:00:00+00:00          -0.004498           0.015060   \n",
       "2015-11-23 00:00:00+00:00           0.001322          -0.000966   \n",
       "2015-11-24 00:00:00+00:00          -0.001871          -0.004252   \n",
       "2015-11-25 00:00:00+00:00           0.004824           0.002894   \n",
       "2015-11-27 00:00:00+00:00          -0.002140           0.005105   \n",
       "2015-11-30 00:00:00+00:00          -0.006928          -0.006183   \n",
       "2015-12-01 00:00:00+00:00           0.008582           0.027170   \n",
       "2015-12-02 00:00:00+00:00          -0.018335           0.006313   \n",
       "2015-12-03 00:00:00+00:00          -0.005676          -0.024272   \n",
       "2015-12-04 00:00:00+00:00           0.024774           0.041159   \n",
       "2015-12-07 00:00:00+00:00          -0.019647           0.003540   \n",
       "2015-12-08 00:00:00+00:00          -0.017074          -0.010735   \n",
       "2015-12-09 00:00:00+00:00          -0.000570          -0.023679   \n",
       "2015-12-10 00:00:00+00:00           0.012138          -0.008256   \n",
       "2015-12-11 00:00:00+00:00          -0.013062          -0.025836   \n",
       "2015-12-14 00:00:00+00:00           0.011580           0.004910   \n",
       "2015-12-15 00:00:00+00:00           0.001635           0.013410   \n",
       "2015-12-16 00:00:00+00:00           0.020719           0.012809   \n",
       "2015-12-17 00:00:00+00:00          -0.026697          -0.018224   \n",
       "2015-12-18 00:00:00+00:00          -0.017002          -0.004991   \n",
       "2015-12-21 00:00:00+00:00           0.008360           0.021714   \n",
       "2015-12-22 00:00:00+00:00           0.009977          -0.005448   \n",
       "2015-12-23 00:00:00+00:00           0.017237           0.015349   \n",
       "2015-12-24 00:00:00+00:00          -0.001614          -0.001620   \n",
       "2015-12-28 00:00:00+00:00          -0.003484          -0.002177   \n",
       "2015-12-29 00:00:00+00:00           0.004307           0.005415   \n",
       "2015-12-30 00:00:00+00:00          -0.006182          -0.005781   \n",
       "2015-12-31 00:00:00+00:00          -0.010031          -0.010299   \n",
       "2016-01-04 00:00:00+00:00          -0.011520          -0.011489   \n",
       "2016-01-05 00:00:00+00:00          -0.000286          -0.002495   \n",
       "\n",
       "                           Equity(488 [ZBH])  Equity(489 [ZION])  \\\n",
       "2011-01-07 00:00:00+00:00          -0.000181           -0.010458   \n",
       "2011-01-10 00:00:00+00:00           0.007784           -0.017945   \n",
       "2011-01-11 00:00:00+00:00           0.035676            0.007467   \n",
       "2011-01-12 00:00:00+00:00           0.014741           -0.011903   \n",
       "2011-01-13 00:00:00+00:00          -0.004665           -0.009178   \n",
       "2011-01-14 00:00:00+00:00           0.005949            0.033177   \n",
       "2011-01-18 00:00:00+00:00           0.006998           -0.008534   \n",
       "2011-01-19 00:00:00+00:00          -0.004098           -0.018433   \n",
       "2011-01-20 00:00:00+00:00          -0.001612           -0.007972   \n",
       "2011-01-21 00:00:00+00:00           0.009325            0.024020   \n",
       "2011-01-24 00:00:00+00:00          -0.016501           -0.023021   \n",
       "2011-01-25 00:00:00+00:00           0.017142           -0.008836   \n",
       "2011-01-26 00:00:00+00:00          -0.019524           -0.010626   \n",
       "2011-01-27 00:00:00+00:00           0.068754            0.020160   \n",
       "2011-01-28 00:00:00+00:00          -0.008472           -0.013873   \n",
       "2011-01-31 00:00:00+00:00           0.009902            0.006378   \n",
       "2011-02-01 00:00:00+00:00           0.017746            0.030970   \n",
       "2011-02-02 00:00:00+00:00           0.005161           -0.003706   \n",
       "2011-02-03 00:00:00+00:00          -0.000333           -0.000394   \n",
       "2011-02-04 00:00:00+00:00           0.002471            0.016111   \n",
       "2011-02-07 00:00:00+00:00          -0.010876            0.027617   \n",
       "2011-02-08 00:00:00+00:00          -0.000495            0.004780   \n",
       "2011-02-09 00:00:00+00:00          -0.009851           -0.004757   \n",
       "2011-02-10 00:00:00+00:00           0.011449           -0.026498   \n",
       "2011-02-11 00:00:00+00:00           0.009660            0.014256   \n",
       "2011-02-14 00:00:00+00:00           0.002484           -0.010021   \n",
       "2011-02-15 00:00:00+00:00          -0.001815           -0.004461   \n",
       "2011-02-16 00:00:00+00:00           0.010557            0.001206   \n",
       "2011-02-17 00:00:00+00:00           0.015325           -0.003227   \n",
       "2011-02-18 00:00:00+00:00           0.023782           -0.017960   \n",
       "...                                      ...                 ...   \n",
       "2015-11-20 00:00:00+00:00          -0.003176            0.000000   \n",
       "2015-11-23 00:00:00+00:00          -0.008581           -0.001992   \n",
       "2015-11-24 00:00:00+00:00          -0.009043            0.002650   \n",
       "2015-11-25 00:00:00+00:00          -0.006174           -0.000309   \n",
       "2015-11-27 00:00:00+00:00          -0.002869            0.005013   \n",
       "2015-11-30 00:00:00+00:00           0.000101           -0.004339   \n",
       "2015-12-01 00:00:00+00:00           0.016927            0.015028   \n",
       "2015-12-02 00:00:00+00:00          -0.004473           -0.015448   \n",
       "2015-12-03 00:00:00+00:00          -0.028367           -0.015725   \n",
       "2015-12-04 00:00:00+00:00           0.011977            0.024452   \n",
       "2015-12-07 00:00:00+00:00          -0.001384           -0.042085   \n",
       "2015-12-08 00:00:00+00:00          -0.006277           -0.031813   \n",
       "2015-12-09 00:00:00+00:00           0.002205           -0.007490   \n",
       "2015-12-10 00:00:00+00:00          -0.000297            0.014759   \n",
       "2015-12-11 00:00:00+00:00          -0.010112           -0.029782   \n",
       "2015-12-14 00:00:00+00:00           0.005356           -0.014991   \n",
       "2015-12-15 00:00:00+00:00           0.015787            0.035626   \n",
       "2015-12-16 00:00:00+00:00           0.008606            0.010755   \n",
       "2015-12-17 00:00:00+00:00          -0.011966           -0.015960   \n",
       "2015-12-18 00:00:00+00:00          -0.017384           -0.037845   \n",
       "2015-12-21 00:00:00+00:00           0.012842            0.002271   \n",
       "2015-12-22 00:00:00+00:00           0.014966            0.014553   \n",
       "2015-12-23 00:00:00+00:00           0.010219            0.018773   \n",
       "2015-12-24 00:00:00+00:00           0.001364            0.003975   \n",
       "2015-12-28 00:00:00+00:00          -0.006413           -0.005033   \n",
       "2015-12-29 00:00:00+00:00           0.007235            0.006174   \n",
       "2015-12-30 00:00:00+00:00          -0.002921           -0.012235   \n",
       "2015-12-31 00:00:00+00:00           0.001176           -0.006212   \n",
       "2016-01-04 00:00:00+00:00          -0.007604           -0.021614   \n",
       "2016-01-05 00:00:00+00:00           0.020820           -0.010853   \n",
       "\n",
       "                           Equity(490 [ZTS])  \n",
       "2011-01-07 00:00:00+00:00           0.000000  \n",
       "2011-01-10 00:00:00+00:00           0.000000  \n",
       "2011-01-11 00:00:00+00:00           0.000000  \n",
       "2011-01-12 00:00:00+00:00           0.000000  \n",
       "2011-01-13 00:00:00+00:00           0.000000  \n",
       "2011-01-14 00:00:00+00:00           0.000000  \n",
       "2011-01-18 00:00:00+00:00           0.000000  \n",
       "2011-01-19 00:00:00+00:00           0.000000  \n",
       "2011-01-20 00:00:00+00:00           0.000000  \n",
       "2011-01-21 00:00:00+00:00           0.000000  \n",
       "2011-01-24 00:00:00+00:00           0.000000  \n",
       "2011-01-25 00:00:00+00:00           0.000000  \n",
       "2011-01-26 00:00:00+00:00           0.000000  \n",
       "2011-01-27 00:00:00+00:00           0.000000  \n",
       "2011-01-28 00:00:00+00:00           0.000000  \n",
       "2011-01-31 00:00:00+00:00           0.000000  \n",
       "2011-02-01 00:00:00+00:00           0.000000  \n",
       "2011-02-02 00:00:00+00:00           0.000000  \n",
       "2011-02-03 00:00:00+00:00           0.000000  \n",
       "2011-02-04 00:00:00+00:00           0.000000  \n",
       "2011-02-07 00:00:00+00:00           0.000000  \n",
       "2011-02-08 00:00:00+00:00           0.000000  \n",
       "2011-02-09 00:00:00+00:00           0.000000  \n",
       "2011-02-10 00:00:00+00:00           0.000000  \n",
       "2011-02-11 00:00:00+00:00           0.000000  \n",
       "2011-02-14 00:00:00+00:00           0.000000  \n",
       "2011-02-15 00:00:00+00:00           0.000000  \n",
       "2011-02-16 00:00:00+00:00           0.000000  \n",
       "2011-02-17 00:00:00+00:00           0.000000  \n",
       "2011-02-18 00:00:00+00:00           0.000000  \n",
       "...                                      ...  \n",
       "2015-11-20 00:00:00+00:00           0.008950  \n",
       "2015-11-23 00:00:00+00:00          -0.007600  \n",
       "2015-11-24 00:00:00+00:00          -0.000651  \n",
       "2015-11-25 00:00:00+00:00           0.000868  \n",
       "2015-11-27 00:00:00+00:00           0.002343  \n",
       "2015-11-30 00:00:00+00:00          -0.008071  \n",
       "2015-12-01 00:00:00+00:00           0.006632  \n",
       "2015-12-02 00:00:00+00:00          -0.013610  \n",
       "2015-12-03 00:00:00+00:00          -0.025244  \n",
       "2015-12-04 00:00:00+00:00           0.027882  \n",
       "2015-12-07 00:00:00+00:00          -0.011841  \n",
       "2015-12-08 00:00:00+00:00           0.000666  \n",
       "2015-12-09 00:00:00+00:00          -0.015900  \n",
       "2015-12-10 00:00:00+00:00           0.019695  \n",
       "2015-12-11 00:00:00+00:00          -0.005856  \n",
       "2015-12-14 00:00:00+00:00           0.016583  \n",
       "2015-12-15 00:00:00+00:00           0.008156  \n",
       "2015-12-16 00:00:00+00:00           0.002538  \n",
       "2015-12-17 00:00:00+00:00          -0.007637  \n",
       "2015-12-18 00:00:00+00:00          -0.002791  \n",
       "2015-12-21 00:00:00+00:00           0.015894  \n",
       "2015-12-22 00:00:00+00:00           0.008027  \n",
       "2015-12-23 00:00:00+00:00           0.005444  \n",
       "2015-12-24 00:00:00+00:00           0.003121  \n",
       "2015-12-28 00:00:00+00:00          -0.004784  \n",
       "2015-12-29 00:00:00+00:00           0.008997  \n",
       "2015-12-30 00:00:00+00:00          -0.001454  \n",
       "2015-12-31 00:00:00+00:00          -0.007051  \n",
       "2016-01-04 00:00:00+00:00          -0.013564  \n",
       "2016-01-05 00:00:00+00:00           0.015647  \n",
       "\n",
       "[1256 rows x 490 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "returns_df = \\\n",
    "    get_pricing(\n",
    "        data_portal,\n",
    "        trading_calendar,\n",
    "        universe_tickers,\n",
    "        universe_end_date - pd.DateOffset(years=5),\n",
    "        universe_end_date)\\\n",
    "    .pct_change()[1:].fillna(0) #convert prices into returns\n",
    "\n",
    "returns_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quiz 1\n",
    "\n",
    "Check out the [numpy.cov documentation](https://docs.scipy.org/doc/numpy-1.15.0/reference/generated/numpy.cov.html).  Then think about what's wrong with the following use of numpy.cov"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# What's wrong with this?\n",
    "annualization_factor = 252\n",
    "covariance_assets_not_correct = annualization_factor*np.cov(returns_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1256, 1256)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## TODO: Check the shape of the covariance matrix\n",
    "\n",
    "covariance_assets_not_correct.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Answer 1\n",
    "\n",
    "Notice that the dimensions are 1256 by 1256, which is the number of observations for each stock.  We are expecting a matrix of 490 by 490, since that's how many stocks that are stored in the dataframe."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quiz 2\n",
    "How can you adjust the input so that we get the desired covariance matrix of assets?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: calculate the covariance matrix of assets\n",
    "annualization_factor = 252\n",
    "covariance_assets = annualization_factor*np.cov(returns_df.T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(490, 490)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "covariance_assets.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Answer 2\n",
    "Since the documentation expects each row to represent a variable (one stock), we can transpose the dataframe before passing it into the `numpy.cov` function.  So now we have a covariance matrix that's 490 by 490."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize the covariance matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f83b937f6a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# view a heatmap of the covariance matrix\n",
    "sns.heatmap(covariance_assets,cmap='Paired');\n",
    "## If the colors aren't distinctive, please try a couple of these color schemes:\n",
    "## cmap = 'tab10'\n",
    "# cmap = 'Accent'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quiz 3\n",
    "Looking at the colormap are covariances more likely to be positive or negative?  Are covariances likely to be above 0.10 or below 0.10?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Answer 3\n",
    "The colormap range is mostly positive, from 0 to 0.30+, so covariances are more likely to be positive than negative.  In other words, stocks move with the market.  Also, the covariances are mostly below 0.10 rather than higher than 0.10."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fun Quiz!\n",
    "Do you know what the [seaborn visualization package](https://seaborn.pydata.org/index.html) was named after?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fun Answer!\n",
    "The seaborn package is named after \"Samuel Norman Seaborn\", a fictional character from the [TV Series \"The West Wing\"].(https://en.wikipedia.org/wiki/Sam_Seaborn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}