Zipline Local run_algorithm Without Pipeline.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext zipline\n",
    "%load_ext watermark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import zipline\n",
    "from yahoofinancials import YahooFinancials\n",
    "import warnings\n",
    "import pandas_datareader as pdr\n",
    "plt.style.use('seaborn')\n",
    "\n",
    "plt.rcParams['figure.figsize'] = [16, 9]\n",
    "plt.rcParams['figure.dpi'] = 200\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "watermark --iversions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### There are two methods to use a custom dataset, one is shown below which converts dataframe into panel, the other one using zipline bundle ingest, check 'Zipline Local Pipeline' notebook for that."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from collections import OrderedDict\n",
    "import pytz\n",
    "import pandas_datareader as pdr\n",
    "\n",
    "def get_from_pdr_to_panel(symbol=\"NVDA\", datefrom=\"2016-01-01\", dateto=\"2018-01-01\"):\n",
    "    nvidia=pdr.get_data_yahoo(symbol, datefrom, dateto)\n",
    "    nvidia.head()\n",
    "    data = OrderedDict()\n",
    "    data[symbol] = nvidia\n",
    "    data[symbol] = data[symbol][[\"Open\",\"High\",\"Low\",\"Close\",\"Volume\"]]\n",
    "    #print(data[symbol].head())\n",
    "    panel = pd.Panel(data)\n",
    "    panel.minor_axis = [\"open\",\"high\",\"low\",\"close\",\"volume\"]\n",
    "    panel.major_axis = panel.major_axis.tz_localize(pytz.utc)\n",
    "    print(panel)\n",
    "    return panel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.panel.Panel'>\n",
      "Dimensions: 1 (items) x 503 (major_axis) x 5 (minor_axis)\n",
      "Items axis: NVDA to NVDA\n",
      "Major_axis axis: 2016-01-04 00:00:00+00:00 to 2017-12-29 00:00:00+00:00\n",
      "Minor_axis axis: open to volume\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "E:\\anaconda3\\envs\\env_zipline\\lib\\site-packages\\ipykernel_launcher.py:3: DeprecationWarning: \n",
      "Panel is deprecated and will be removed in a future version.\n",
      "The recommended way to represent these types of 3-dimensional data are with a MultiIndex on a DataFrame, via the Panel.to_frame() method\n",
      "Alternatively, you can use the xarray package http://xarray.pydata.org/en/stable/.\n",
      "Pandas provides a `.to_xarray()` method to help automate this conversion.\n",
      "\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    }
   ],
   "source": [
    "from scripts.get_from_pdr_to_panel import get_from_pdr_to_panel\n",
    "\n",
    "panel = get_from_pdr_to_panel()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "from zipline.api import order, record, symbol, set_benchmark\n",
    "import zipline\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import datetime\n",
    "\n",
    "\n",
    "def initialize(context):\n",
    "    set_benchmark(symbol(\"NVDA\"))\n",
    "\n",
    "\n",
    "def handle_data(context, data):\n",
    "    order(symbol(\"NVDA\"), 10)\n",
    "    record(NVDA=data.current(symbol('NVDA'), 'price'))\n",
    "\n",
    "perf = zipline.run_algorithm(start=datetime(2016, 1, 5, 0, 0, 0, 0, pytz.utc),\n",
    "                      end=datetime(2017, 12, 29, 0, 0, 0, 0, pytz.utc),\n",
    "                      initialize=initialize,\n",
    "                      capital_base=100000,\n",
    "                      handle_data=handle_data,\n",
    "                      data=panel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2016-01-05 21:00:00+00:00    0.000000\n",
       "2016-01-06 21:00:00+00:00   -0.000002\n",
       "2016-01-07 21:00:00+00:00   -0.000128\n",
       "2016-01-08 21:00:00+00:00   -0.000260\n",
       "2016-01-11 21:00:00+00:00   -0.000246\n",
       "2016-01-12 21:00:00+00:00   -0.000048\n",
       "2016-01-13 21:00:00+00:00   -0.000510\n",
       "2016-01-14 21:00:00+00:00   -0.000865\n",
       "2016-01-15 21:00:00+00:00   -0.001959\n",
       "2016-01-19 21:00:00+00:00   -0.001784\n",
       "2016-01-20 21:00:00+00:00   -0.001651\n",
       "2016-01-21 21:00:00+00:00   -0.001332\n",
       "2016-01-22 21:00:00+00:00   -0.000619\n",
       "2016-01-25 21:00:00+00:00   -0.000656\n",
       "2016-01-26 21:00:00+00:00   -0.000294\n",
       "2016-01-27 21:00:00+00:00   -0.000771\n",
       "2016-01-28 21:00:00+00:00   -0.001238\n",
       "2016-01-29 21:00:00+00:00    0.000745\n",
       "2016-02-01 21:00:00+00:00    0.000760\n",
       "2016-02-02 21:00:00+00:00   -0.001473\n",
       "2016-02-03 21:00:00+00:00   -0.001209\n",
       "2016-02-04 21:00:00+00:00   -0.001190\n",
       "2016-02-05 21:00:00+00:00   -0.004930\n",
       "2016-02-08 21:00:00+00:00   -0.007593\n",
       "2016-02-09 21:00:00+00:00   -0.006973\n",
       "2016-02-10 21:00:00+00:00   -0.007119\n",
       "2016-02-11 21:00:00+00:00   -0.007445\n",
       "2016-02-12 21:00:00+00:00   -0.006329\n",
       "2016-02-16 21:00:00+00:00   -0.002928\n",
       "2016-02-17 21:00:00+00:00   -0.001054\n",
       "                               ...   \n",
       "2017-11-16 21:00:00+00:00    5.453589\n",
       "2017-11-17 21:00:00+00:00    5.441778\n",
       "2017-11-20 21:00:00+00:00    5.570423\n",
       "2017-11-21 21:00:00+00:00    5.663791\n",
       "2017-11-22 21:00:00+00:00    5.610579\n",
       "2017-11-24 18:00:00+00:00    5.707197\n",
       "2017-11-27 21:00:00+00:00    5.572672\n",
       "2017-11-28 21:00:00+00:00    5.408707\n",
       "2017-11-29 21:00:00+00:00    4.724206\n",
       "2017-11-30 21:00:00+00:00    4.930116\n",
       "2017-12-01 21:00:00+00:00    4.784363\n",
       "2017-12-04 21:00:00+00:00    4.253190\n",
       "2017-12-05 21:00:00+00:00    4.305344\n",
       "2017-12-06 21:00:00+00:00    4.378902\n",
       "2017-12-07 21:00:00+00:00    4.511298\n",
       "2017-12-08 21:00:00+00:00    4.486989\n",
       "2017-12-11 21:00:00+00:00    4.641358\n",
       "2017-12-12 21:00:00+00:00    4.454932\n",
       "2017-12-13 21:00:00+00:00    4.227048\n",
       "2017-12-14 21:00:00+00:00    4.241249\n",
       "2017-12-15 21:00:00+00:00    4.491158\n",
       "2017-12-18 21:00:00+00:00    4.803076\n",
       "2017-12-19 21:00:00+00:00    4.714819\n",
       "2017-12-20 21:00:00+00:00    4.748896\n",
       "2017-12-21 21:00:00+00:00    4.703840\n",
       "2017-12-22 21:00:00+00:00    4.673079\n",
       "2017-12-26 21:00:00+00:00    4.780918\n",
       "2017-12-27 21:00:00+00:00    4.767462\n",
       "2017-12-28 21:00:00+00:00    4.778928\n",
       "2017-12-29 21:00:00+00:00    4.583919\n",
       "Name: portfolio_value, Length: 502, dtype: float64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "perf.portfolio_value.pct_change().fillna(0).add(1).cumprod().sub(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                 Open       High        Low      Close      Volume\n",
      "Date                                                              \n",
      "2016-01-04  32.290001  32.580002  32.040001  32.369999   8951900.0\n",
      "2016-01-05  32.980000  33.439999  32.500000  32.889999  12256800.0\n",
      "2016-01-06  32.349998  32.500000  31.160000  31.530001  11233600.0\n",
      "2016-01-07  30.740000  30.950001  29.879999  30.280001  16132600.0\n",
      "2016-01-08  30.670000  30.700001  29.570000  29.629999   9961800.0\n"
     ]
    }
   ],
   "source": [
    "data = OrderedDict()\n",
    "data['NVDA'] = nvidia\n",
    "data['NVDA'] = data['NVDA'][[\"Open\",\"High\",\"Low\",\"Close\",\"Volume\"]]\n",
    "data['NVDA'] = data['NVDA'].resample(\"1d\").mean()\n",
    "data['NVDA'].fillna(method=\"ffill\", inplace=True)\n",
    "print(data['NVDA'].head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
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\n",
      "text/plain": [
       "<Figure size 3200x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import style\n",
    "\n",
    "\n",
    "style.use(\"ggplot\")\n",
    "\n",
    "perf.portfolio_value.pct_change().fillna(0).add(1).cumprod().sub(1).plot(label='portfolio')\n",
    "perf.NVDA.pct_change().fillna(0).add(1).cumprod().sub(1).plot(label='benchmark')\n",
    "plt.legend(loc=2)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NVDA</th>\n",
       "      <th>algo_volatility</th>\n",
       "      <th>algorithm_period_return</th>\n",
       "      <th>alpha</th>\n",
       "      <th>benchmark_period_return</th>\n",
       "      <th>benchmark_volatility</th>\n",
       "      <th>beta</th>\n",
       "      <th>capital_used</th>\n",
       "      <th>ending_cash</th>\n",
       "      <th>ending_exposure</th>\n",
       "      <th>...</th>\n",
       "      <th>short_exposure</th>\n",
       "      <th>short_value</th>\n",
       "      <th>shorts_count</th>\n",
       "      <th>sortino</th>\n",
       "      <th>starting_cash</th>\n",
       "      <th>starting_exposure</th>\n",
       "      <th>starting_value</th>\n",
       "      <th>trading_days</th>\n",
       "      <th>transactions</th>\n",
       "      <th>treasury_period_return</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-05 21:00:00+00:00</th>\n",
       "      <td>32.889999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.016064</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1</td>\n",
       "      <td>[]</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06 21:00:00+00:00</th>\n",
       "      <td>31.530001</td>\n",
       "      <td>0.000019</td>\n",
       "      <td>-0.000002</td>\n",
       "      <td>-0.000118</td>\n",
       "      <td>-0.025950</td>\n",
       "      <td>0.644473</td>\n",
       "      <td>0.000029</td>\n",
       "      <td>-315.467657</td>\n",
       "      <td>99684.532343</td>\n",
       "      <td>3.153000e+02</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-11.224972</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2</td>\n",
       "      <td>[{'amount': 10, 'order_id': '308f29a7707b4af49...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07 21:00:00+00:00</th>\n",
       "      <td>30.280001</td>\n",
       "      <td>0.001153</td>\n",
       "      <td>-0.000128</td>\n",
       "      <td>-0.004867</td>\n",
       "      <td>-0.064566</td>\n",
       "      <td>0.518573</td>\n",
       "      <td>0.001083</td>\n",
       "      <td>-302.961407</td>\n",
       "      <td>99381.570936</td>\n",
       "      <td>6.056000e+02</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-9.285693</td>\n",
       "      <td>99684.532343</td>\n",
       "      <td>3.153000e+02</td>\n",
       "      <td>3.153000e+02</td>\n",
       "      <td>3</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'bb6a3e9d2fe04fe4b...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08 21:00:00+00:00</th>\n",
       "      <td>29.629999</td>\n",
       "      <td>0.001176</td>\n",
       "      <td>-0.000260</td>\n",
       "      <td>-0.010506</td>\n",
       "      <td>-0.084646</td>\n",
       "      <td>0.423415</td>\n",
       "      <td>0.001078</td>\n",
       "      <td>-296.458142</td>\n",
       "      <td>99085.112795</td>\n",
       "      <td>8.889000e+02</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-11.295272</td>\n",
       "      <td>99381.570936</td>\n",
       "      <td>6.056000e+02</td>\n",
       "      <td>6.056000e+02</td>\n",
       "      <td>4</td>\n",
       "      <td>[{'amount': 10, 'order_id': '430979b079634c699...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-11 21:00:00+00:00</th>\n",
       "      <td>29.680000</td>\n",
       "      <td>0.001161</td>\n",
       "      <td>-0.000246</td>\n",
       "      <td>-0.006170</td>\n",
       "      <td>-0.083102</td>\n",
       "      <td>0.402232</td>\n",
       "      <td>0.001464</td>\n",
       "      <td>-296.958403</td>\n",
       "      <td>98788.154392</td>\n",
       "      <td>1.187200e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-9.581123</td>\n",
       "      <td>99085.112795</td>\n",
       "      <td>8.889000e+02</td>\n",
       "      <td>8.889000e+02</td>\n",
       "      <td>5</td>\n",
       "      <td>[{'amount': 10, 'order_id': '74979c467891412aa...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-12 21:00:00+00:00</th>\n",
       "      <td>30.180000</td>\n",
       "      <td>0.001912</td>\n",
       "      <td>-0.000048</td>\n",
       "      <td>0.006678</td>\n",
       "      <td>-0.067655</td>\n",
       "      <td>0.421167</td>\n",
       "      <td>0.003051</td>\n",
       "      <td>-301.960903</td>\n",
       "      <td>98486.193489</td>\n",
       "      <td>1.509000e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.704402</td>\n",
       "      <td>98788.154392</td>\n",
       "      <td>1.187200e+03</td>\n",
       "      <td>1.187200e+03</td>\n",
       "      <td>6</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'c9958a422623463a9...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-13 21:00:00+00:00</th>\n",
       "      <td>29.260000</td>\n",
       "      <td>0.003233</td>\n",
       "      <td>-0.000510</td>\n",
       "      <td>-0.001551</td>\n",
       "      <td>-0.096077</td>\n",
       "      <td>0.401313</td>\n",
       "      <td>0.004744</td>\n",
       "      <td>-292.756302</td>\n",
       "      <td>98193.437186</td>\n",
       "      <td>1.755600e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-6.159727</td>\n",
       "      <td>98486.193489</td>\n",
       "      <td>1.509000e+03</td>\n",
       "      <td>1.509000e+03</td>\n",
       "      <td>7</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'ac9e55382c8d4681b...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-14 21:00:00+00:00</th>\n",
       "      <td>28.670000</td>\n",
       "      <td>0.003388</td>\n",
       "      <td>-0.000865</td>\n",
       "      <td>-0.008237</td>\n",
       "      <td>-0.114303</td>\n",
       "      <td>0.373125</td>\n",
       "      <td>0.005095</td>\n",
       "      <td>-286.853351</td>\n",
       "      <td>97906.583835</td>\n",
       "      <td>2.006900e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-7.952686</td>\n",
       "      <td>98193.437186</td>\n",
       "      <td>1.755600e+03</td>\n",
       "      <td>1.755600e+03</td>\n",
       "      <td>8</td>\n",
       "      <td>[{'amount': 10, 'order_id': '6c04fd6504d0492ca...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-15 21:00:00+00:00</th>\n",
       "      <td>27.110001</td>\n",
       "      <td>0.006106</td>\n",
       "      <td>-0.001959</td>\n",
       "      <td>-0.004791</td>\n",
       "      <td>-0.162496</td>\n",
       "      <td>0.407093</td>\n",
       "      <td>0.010344</td>\n",
       "      <td>-271.245556</td>\n",
       "      <td>97635.338279</td>\n",
       "      <td>2.168800e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-8.274358</td>\n",
       "      <td>97906.583835</td>\n",
       "      <td>2.006900e+03</td>\n",
       "      <td>2.006900e+03</td>\n",
       "      <td>9</td>\n",
       "      <td>[{'amount': 10, 'order_id': '5ea3f953c38e4888b...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-19 21:00:00+00:00</th>\n",
       "      <td>27.330000</td>\n",
       "      <td>0.006085</td>\n",
       "      <td>-0.001784</td>\n",
       "      <td>-0.000127</td>\n",
       "      <td>-0.155700</td>\n",
       "      <td>0.407592</td>\n",
       "      <td>0.010799</td>\n",
       "      <td>-273.446649</td>\n",
       "      <td>97361.891630</td>\n",
       "      <td>2.459700e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-7.149278</td>\n",
       "      <td>97635.338279</td>\n",
       "      <td>2.168800e+03</td>\n",
       "      <td>2.168800e+03</td>\n",
       "      <td>10</td>\n",
       "      <td>[{'amount': 10, 'order_id': '6da2e8b55a88456da...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-20 21:00:00+00:00</th>\n",
       "      <td>27.480000</td>\n",
       "      <td>0.005963</td>\n",
       "      <td>-0.001651</td>\n",
       "      <td>0.002449</td>\n",
       "      <td>-0.151066</td>\n",
       "      <td>0.400719</td>\n",
       "      <td>0.011034</td>\n",
       "      <td>-274.947395</td>\n",
       "      <td>97086.944235</td>\n",
       "      <td>2.748000e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-6.305708</td>\n",
       "      <td>97361.891630</td>\n",
       "      <td>2.459700e+03</td>\n",
       "      <td>2.459700e+03</td>\n",
       "      <td>11</td>\n",
       "      <td>[{'amount': 10, 'order_id': '83a652e3abf2452aa...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 21:00:00+00:00</th>\n",
       "      <td>27.799999</td>\n",
       "      <td>0.006078</td>\n",
       "      <td>-0.001332</td>\n",
       "      <td>0.008166</td>\n",
       "      <td>-0.141180</td>\n",
       "      <td>0.400393</td>\n",
       "      <td>0.011653</td>\n",
       "      <td>-278.148992</td>\n",
       "      <td>96808.795242</td>\n",
       "      <td>3.058000e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-4.870692</td>\n",
       "      <td>97086.944235</td>\n",
       "      <td>2.748000e+03</td>\n",
       "      <td>2.748000e+03</td>\n",
       "      <td>12</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'ec219f00b8444efd8...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-22 21:00:00+00:00</th>\n",
       "      <td>28.450001</td>\n",
       "      <td>0.006861</td>\n",
       "      <td>-0.000619</td>\n",
       "      <td>0.020082</td>\n",
       "      <td>-0.121100</td>\n",
       "      <td>0.414298</td>\n",
       "      <td>0.013304</td>\n",
       "      <td>-284.652258</td>\n",
       "      <td>96524.142985</td>\n",
       "      <td>3.414000e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-2.169762</td>\n",
       "      <td>96808.795242</td>\n",
       "      <td>3.058000e+03</td>\n",
       "      <td>3.058000e+03</td>\n",
       "      <td>13</td>\n",
       "      <td>[{'amount': 10, 'order_id': '41d835c2dc0f41eea...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-25 21:00:00+00:00</th>\n",
       "      <td>28.420000</td>\n",
       "      <td>0.006592</td>\n",
       "      <td>-0.000656</td>\n",
       "      <td>0.018001</td>\n",
       "      <td>-0.122027</td>\n",
       "      <td>0.399678</td>\n",
       "      <td>0.013205</td>\n",
       "      <td>-284.352101</td>\n",
       "      <td>96239.790884</td>\n",
       "      <td>3.694600e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-2.216941</td>\n",
       "      <td>96524.142985</td>\n",
       "      <td>3.414000e+03</td>\n",
       "      <td>3.414000e+03</td>\n",
       "      <td>14</td>\n",
       "      <td>[{'amount': 10, 'order_id': '28190aab32a24feaa...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-26 21:00:00+00:00</th>\n",
       "      <td>28.700001</td>\n",
       "      <td>0.006570</td>\n",
       "      <td>-0.000294</td>\n",
       "      <td>0.021349</td>\n",
       "      <td>-0.113377</td>\n",
       "      <td>0.392776</td>\n",
       "      <td>0.013535</td>\n",
       "      <td>-287.153508</td>\n",
       "      <td>95952.637376</td>\n",
       "      <td>4.018000e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.956079</td>\n",
       "      <td>96239.790884</td>\n",
       "      <td>3.694600e+03</td>\n",
       "      <td>3.694600e+03</td>\n",
       "      <td>15</td>\n",
       "      <td>[{'amount': 10, 'order_id': '4f3689d736324a38a...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-27 21:00:00+00:00</th>\n",
       "      <td>28.360001</td>\n",
       "      <td>0.006603</td>\n",
       "      <td>-0.000771</td>\n",
       "      <td>0.015382</td>\n",
       "      <td>-0.123880</td>\n",
       "      <td>0.379815</td>\n",
       "      <td>0.013717</td>\n",
       "      <td>-283.751806</td>\n",
       "      <td>95668.885570</td>\n",
       "      <td>4.254000e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-2.277914</td>\n",
       "      <td>95952.637376</td>\n",
       "      <td>4.018000e+03</td>\n",
       "      <td>4.018000e+03</td>\n",
       "      <td>16</td>\n",
       "      <td>[{'amount': 10, 'order_id': '291dbbd5f1e741848...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-28 21:00:00+00:00</th>\n",
       "      <td>28.049999</td>\n",
       "      <td>0.006593</td>\n",
       "      <td>-0.001238</td>\n",
       "      <td>0.010031</td>\n",
       "      <td>-0.133457</td>\n",
       "      <td>0.367932</td>\n",
       "      <td>0.013840</td>\n",
       "      <td>-280.650242</td>\n",
       "      <td>95388.235328</td>\n",
       "      <td>4.488000e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-3.352436</td>\n",
       "      <td>95668.885570</td>\n",
       "      <td>4.254000e+03</td>\n",
       "      <td>4.254000e+03</td>\n",
       "      <td>17</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'ce2fe8e9e9b345d08...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-29 21:00:00+00:00</th>\n",
       "      <td>29.290001</td>\n",
       "      <td>0.010009</td>\n",
       "      <td>0.000745</td>\n",
       "      <td>0.036459</td>\n",
       "      <td>-0.095150</td>\n",
       "      <td>0.407142</td>\n",
       "      <td>0.019734</td>\n",
       "      <td>-293.056459</td>\n",
       "      <td>95095.178869</td>\n",
       "      <td>4.979300e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.969834</td>\n",
       "      <td>95388.235328</td>\n",
       "      <td>4.488000e+03</td>\n",
       "      <td>4.488000e+03</td>\n",
       "      <td>18</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'bfcda4610045409a8...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-01 21:00:00+00:00</th>\n",
       "      <td>29.299999</td>\n",
       "      <td>0.009728</td>\n",
       "      <td>0.000760</td>\n",
       "      <td>0.034576</td>\n",
       "      <td>-0.094841</td>\n",
       "      <td>0.396190</td>\n",
       "      <td>0.019670</td>\n",
       "      <td>-293.156492</td>\n",
       "      <td>94802.022376</td>\n",
       "      <td>5.274000e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.956827</td>\n",
       "      <td>95095.178869</td>\n",
       "      <td>4.979300e+03</td>\n",
       "      <td>4.979300e+03</td>\n",
       "      <td>19</td>\n",
       "      <td>[{'amount': 10, 'order_id': '33f43ec5e090459b8...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-02 21:00:00+00:00</th>\n",
       "      <td>28.059999</td>\n",
       "      <td>0.012437</td>\n",
       "      <td>-0.001473</td>\n",
       "      <td>0.022675</td>\n",
       "      <td>-0.133148</td>\n",
       "      <td>0.407821</td>\n",
       "      <td>0.024022</td>\n",
       "      <td>-280.750295</td>\n",
       "      <td>94521.272082</td>\n",
       "      <td>5.331400e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.970292</td>\n",
       "      <td>94802.022376</td>\n",
       "      <td>5.274000e+03</td>\n",
       "      <td>5.274000e+03</td>\n",
       "      <td>20</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'eabe0c0ad4c448259...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-03 21:00:00+00:00</th>\n",
       "      <td>28.200001</td>\n",
       "      <td>0.012179</td>\n",
       "      <td>-0.001209</td>\n",
       "      <td>0.023413</td>\n",
       "      <td>-0.128823</td>\n",
       "      <td>0.399588</td>\n",
       "      <td>0.024071</td>\n",
       "      <td>-282.151008</td>\n",
       "      <td>94239.121074</td>\n",
       "      <td>5.640000e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.575974</td>\n",
       "      <td>94521.272082</td>\n",
       "      <td>5.331400e+03</td>\n",
       "      <td>5.331400e+03</td>\n",
       "      <td>21</td>\n",
       "      <td>[{'amount': 10, 'order_id': '12175e4fc0004e15b...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-04 21:00:00+00:00</th>\n",
       "      <td>28.209999</td>\n",
       "      <td>0.011888</td>\n",
       "      <td>-0.001190</td>\n",
       "      <td>0.022401</td>\n",
       "      <td>-0.128514</td>\n",
       "      <td>0.390596</td>\n",
       "      <td>0.024030</td>\n",
       "      <td>-282.251041</td>\n",
       "      <td>93956.870033</td>\n",
       "      <td>5.924100e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.516062</td>\n",
       "      <td>94239.121074</td>\n",
       "      <td>5.640000e+03</td>\n",
       "      <td>5.640000e+03</td>\n",
       "      <td>22</td>\n",
       "      <td>[{'amount': 10, 'order_id': '5b856e5e4e2f4fb28...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-05 21:00:00+00:00</th>\n",
       "      <td>26.430000</td>\n",
       "      <td>0.016855</td>\n",
       "      <td>-0.004930</td>\n",
       "      <td>0.013999</td>\n",
       "      <td>-0.183503</td>\n",
       "      <td>0.425940</td>\n",
       "      <td>0.032026</td>\n",
       "      <td>-264.442153</td>\n",
       "      <td>93692.427880</td>\n",
       "      <td>5.814600e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-3.558930</td>\n",
       "      <td>93956.870033</td>\n",
       "      <td>5.924100e+03</td>\n",
       "      <td>5.924100e+03</td>\n",
       "      <td>23</td>\n",
       "      <td>[{'amount': 10, 'order_id': '0972590a42a842c09...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-08 21:00:00+00:00</th>\n",
       "      <td>25.219999</td>\n",
       "      <td>0.018314</td>\n",
       "      <td>-0.007593</td>\n",
       "      <td>0.007344</td>\n",
       "      <td>-0.220884</td>\n",
       "      <td>0.433807</td>\n",
       "      <td>0.034665</td>\n",
       "      <td>-252.336093</td>\n",
       "      <td>93440.091787</td>\n",
       "      <td>5.800600e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-4.642537</td>\n",
       "      <td>93692.427880</td>\n",
       "      <td>5.814600e+03</td>\n",
       "      <td>5.814600e+03</td>\n",
       "      <td>24</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'bd78c96d92b44816b...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-09 21:00:00+00:00</th>\n",
       "      <td>25.490000</td>\n",
       "      <td>0.018176</td>\n",
       "      <td>-0.006973</td>\n",
       "      <td>0.010187</td>\n",
       "      <td>-0.212542</td>\n",
       "      <td>0.429723</td>\n",
       "      <td>0.034918</td>\n",
       "      <td>-255.037448</td>\n",
       "      <td>93185.054339</td>\n",
       "      <td>6.117600e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-4.175315</td>\n",
       "      <td>93440.091787</td>\n",
       "      <td>5.800600e+03</td>\n",
       "      <td>5.800600e+03</td>\n",
       "      <td>25</td>\n",
       "      <td>[{'amount': 10, 'order_id': '8eff17131b9a4b83a...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-10 21:00:00+00:00</th>\n",
       "      <td>25.430000</td>\n",
       "      <td>0.017813</td>\n",
       "      <td>-0.007119</td>\n",
       "      <td>0.009086</td>\n",
       "      <td>-0.214396</td>\n",
       "      <td>0.421573</td>\n",
       "      <td>0.034879</td>\n",
       "      <td>-254.437153</td>\n",
       "      <td>92930.617186</td>\n",
       "      <td>6.357500e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-4.178498</td>\n",
       "      <td>93185.054339</td>\n",
       "      <td>6.117600e+03</td>\n",
       "      <td>6.117600e+03</td>\n",
       "      <td>26</td>\n",
       "      <td>[{'amount': 10, 'order_id': '7c3eba86d9e344069...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-11 21:00:00+00:00</th>\n",
       "      <td>25.299999</td>\n",
       "      <td>0.017468</td>\n",
       "      <td>-0.007445</td>\n",
       "      <td>0.007261</td>\n",
       "      <td>-0.218412</td>\n",
       "      <td>0.413548</td>\n",
       "      <td>0.034840</td>\n",
       "      <td>-253.136492</td>\n",
       "      <td>92677.480694</td>\n",
       "      <td>6.578000e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-4.281296</td>\n",
       "      <td>92930.617186</td>\n",
       "      <td>6.357500e+03</td>\n",
       "      <td>6.357500e+03</td>\n",
       "      <td>27</td>\n",
       "      <td>[{'amount': 10, 'order_id': '3cf8680892ab46e4a...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-12 21:00:00+00:00</th>\n",
       "      <td>25.730000</td>\n",
       "      <td>0.017649</td>\n",
       "      <td>-0.006329</td>\n",
       "      <td>0.013148</td>\n",
       "      <td>-0.205128</td>\n",
       "      <td>0.413104</td>\n",
       "      <td>0.035525</td>\n",
       "      <td>-257.438645</td>\n",
       "      <td>92420.042048</td>\n",
       "      <td>6.947100e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-3.569833</td>\n",
       "      <td>92677.480694</td>\n",
       "      <td>6.578000e+03</td>\n",
       "      <td>6.578000e+03</td>\n",
       "      <td>28</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'b7dc52a4e1674fec8...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-16 21:00:00+00:00</th>\n",
       "      <td>26.990000</td>\n",
       "      <td>0.020397</td>\n",
       "      <td>-0.002928</td>\n",
       "      <td>0.033502</td>\n",
       "      <td>-0.166203</td>\n",
       "      <td>0.438861</td>\n",
       "      <td>0.039703</td>\n",
       "      <td>-270.044948</td>\n",
       "      <td>92149.997101</td>\n",
       "      <td>7.557200e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.611719</td>\n",
       "      <td>92420.042048</td>\n",
       "      <td>6.947100e+03</td>\n",
       "      <td>6.947100e+03</td>\n",
       "      <td>29</td>\n",
       "      <td>[{'amount': 10, 'order_id': '470427c5d81540aaa...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-17 21:00:00+00:00</th>\n",
       "      <td>27.660000</td>\n",
       "      <td>0.020848</td>\n",
       "      <td>-0.001054</td>\n",
       "      <td>0.041137</td>\n",
       "      <td>-0.145505</td>\n",
       "      <td>0.440311</td>\n",
       "      <td>0.040716</td>\n",
       "      <td>-276.748298</td>\n",
       "      <td>91873.248802</td>\n",
       "      <td>8.021400e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.560538</td>\n",
       "      <td>92149.997101</td>\n",
       "      <td>7.557200e+03</td>\n",
       "      <td>7.557200e+03</td>\n",
       "      <td>30</td>\n",
       "      <td>[{'amount': 10, 'order_id': '75a140d987ed4786b...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-16 21:00:00+00:00</th>\n",
       "      <td>211.610001</td>\n",
       "      <td>0.499711</td>\n",
       "      <td>5.453589</td>\n",
       "      <td>-0.002708</td>\n",
       "      <td>5.537226</td>\n",
       "      <td>0.443159</td>\n",
       "      <td>1.018669</td>\n",
       "      <td>-2117.168056</td>\n",
       "      <td>-353440.323962</td>\n",
       "      <td>9.987992e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.260903</td>\n",
       "      <td>-351323.155906</td>\n",
       "      <td>9.890058e+05</td>\n",
       "      <td>9.890058e+05</td>\n",
       "      <td>473</td>\n",
       "      <td>[{'amount': 10, 'order_id': '98dab2ac02c3495eb...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-17 21:00:00+00:00</th>\n",
       "      <td>211.360001</td>\n",
       "      <td>0.499204</td>\n",
       "      <td>5.441778</td>\n",
       "      <td>-0.003046</td>\n",
       "      <td>5.529503</td>\n",
       "      <td>0.442709</td>\n",
       "      <td>1.018678</td>\n",
       "      <td>-2114.666806</td>\n",
       "      <td>-355554.990768</td>\n",
       "      <td>9.997328e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.252622</td>\n",
       "      <td>-353440.323962</td>\n",
       "      <td>9.987992e+05</td>\n",
       "      <td>9.987992e+05</td>\n",
       "      <td>474</td>\n",
       "      <td>[{'amount': 10, 'order_id': '25eb366478904df8b...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-20 21:00:00+00:00</th>\n",
       "      <td>214.080002</td>\n",
       "      <td>0.498806</td>\n",
       "      <td>5.570423</td>\n",
       "      <td>0.000426</td>\n",
       "      <td>5.613531</td>\n",
       "      <td>0.442285</td>\n",
       "      <td>1.018837</td>\n",
       "      <td>-2141.880418</td>\n",
       "      <td>-357696.871186</td>\n",
       "      <td>1.014739e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.288789</td>\n",
       "      <td>-355554.990768</td>\n",
       "      <td>9.997328e+05</td>\n",
       "      <td>9.997328e+05</td>\n",
       "      <td>475</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'a409a3266c414daeb...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-21 21:00:00+00:00</th>\n",
       "      <td>216.050003</td>\n",
       "      <td>0.498331</td>\n",
       "      <td>5.663791</td>\n",
       "      <td>0.002915</td>\n",
       "      <td>5.674390</td>\n",
       "      <td>0.441833</td>\n",
       "      <td>1.018901</td>\n",
       "      <td>-2161.590281</td>\n",
       "      <td>-359858.461467</td>\n",
       "      <td>1.026238e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.313174</td>\n",
       "      <td>-357696.871186</td>\n",
       "      <td>1.014739e+06</td>\n",
       "      <td>1.014739e+06</td>\n",
       "      <td>476</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'd027190b3f0246cd9...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-22 21:00:00+00:00</th>\n",
       "      <td>214.929993</td>\n",
       "      <td>0.497890</td>\n",
       "      <td>5.610579</td>\n",
       "      <td>0.001404</td>\n",
       "      <td>5.639790</td>\n",
       "      <td>0.441424</td>\n",
       "      <td>1.018971</td>\n",
       "      <td>-2150.384577</td>\n",
       "      <td>-362008.846044</td>\n",
       "      <td>1.023067e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.291364</td>\n",
       "      <td>-359858.461467</td>\n",
       "      <td>1.026238e+06</td>\n",
       "      <td>1.026238e+06</td>\n",
       "      <td>477</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'dd27ae53091646668...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-24 18:00:00+00:00</th>\n",
       "      <td>216.960007</td>\n",
       "      <td>0.497422</td>\n",
       "      <td>5.707197</td>\n",
       "      <td>0.003957</td>\n",
       "      <td>5.702502</td>\n",
       "      <td>0.440976</td>\n",
       "      <td>1.019040</td>\n",
       "      <td>-2170.694867</td>\n",
       "      <td>-364179.540911</td>\n",
       "      <td>1.034899e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.316519</td>\n",
       "      <td>-362008.846044</td>\n",
       "      <td>1.023067e+06</td>\n",
       "      <td>1.023067e+06</td>\n",
       "      <td>478</td>\n",
       "      <td>[{'amount': 10, 'order_id': '2898fbff571b44aeb...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-27 21:00:00+00:00</th>\n",
       "      <td>214.139999</td>\n",
       "      <td>0.497220</td>\n",
       "      <td>5.572672</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>5.615385</td>\n",
       "      <td>0.440694</td>\n",
       "      <td>1.019361</td>\n",
       "      <td>-2142.480694</td>\n",
       "      <td>-366322.021605</td>\n",
       "      <td>1.023589e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.264681</td>\n",
       "      <td>-364179.540911</td>\n",
       "      <td>1.034899e+06</td>\n",
       "      <td>1.034899e+06</td>\n",
       "      <td>479</td>\n",
       "      <td>[{'amount': 10, 'order_id': '7b83863f63654302a...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-28 21:00:00+00:00</th>\n",
       "      <td>210.710007</td>\n",
       "      <td>0.497155</td>\n",
       "      <td>5.408707</td>\n",
       "      <td>-0.005020</td>\n",
       "      <td>5.509422</td>\n",
       "      <td>0.440481</td>\n",
       "      <td>1.019835</td>\n",
       "      <td>-2108.163617</td>\n",
       "      <td>-368430.185222</td>\n",
       "      <td>1.009301e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.199664</td>\n",
       "      <td>-366322.021605</td>\n",
       "      <td>1.023589e+06</td>\n",
       "      <td>1.023589e+06</td>\n",
       "      <td>480</td>\n",
       "      <td>[{'amount': 10, 'order_id': '16bf5ef493984afe9...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-29 21:00:00+00:00</th>\n",
       "      <td>196.419998</td>\n",
       "      <td>0.503111</td>\n",
       "      <td>4.724206</td>\n",
       "      <td>-0.032255</td>\n",
       "      <td>5.067964</td>\n",
       "      <td>0.443105</td>\n",
       "      <td>1.027073</td>\n",
       "      <td>-1965.192082</td>\n",
       "      <td>-370395.377303</td>\n",
       "      <td>9.428160e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.815252</td>\n",
       "      <td>-368430.185222</td>\n",
       "      <td>1.009301e+06</td>\n",
       "      <td>1.009301e+06</td>\n",
       "      <td>481</td>\n",
       "      <td>[{'amount': 10, 'order_id': '75d9ef6dd570494f8...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-30 21:00:00+00:00</th>\n",
       "      <td>200.710007</td>\n",
       "      <td>0.503116</td>\n",
       "      <td>4.930116</td>\n",
       "      <td>-0.025787</td>\n",
       "      <td>5.200494</td>\n",
       "      <td>0.442829</td>\n",
       "      <td>1.027719</td>\n",
       "      <td>-2008.113617</td>\n",
       "      <td>-372403.490921</td>\n",
       "      <td>9.654151e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.880667</td>\n",
       "      <td>-370395.377303</td>\n",
       "      <td>9.428160e+05</td>\n",
       "      <td>9.428160e+05</td>\n",
       "      <td>482</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'bbe3e7203c0542f98...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-01 21:00:00+00:00</th>\n",
       "      <td>197.679993</td>\n",
       "      <td>0.503022</td>\n",
       "      <td>4.784363</td>\n",
       "      <td>-0.030940</td>\n",
       "      <td>5.106889</td>\n",
       "      <td>0.442588</td>\n",
       "      <td>1.028178</td>\n",
       "      <td>-1977.798327</td>\n",
       "      <td>-374381.289247</td>\n",
       "      <td>9.528176e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.821092</td>\n",
       "      <td>-372403.490921</td>\n",
       "      <td>9.654151e+05</td>\n",
       "      <td>9.654151e+05</td>\n",
       "      <td>483</td>\n",
       "      <td>[{'amount': 10, 'order_id': '8b99970f043e4c97b...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-04 21:00:00+00:00</th>\n",
       "      <td>186.660004</td>\n",
       "      <td>0.507248</td>\n",
       "      <td>4.253190</td>\n",
       "      <td>-0.054317</td>\n",
       "      <td>4.766450</td>\n",
       "      <td>0.444236</td>\n",
       "      <td>1.033610</td>\n",
       "      <td>-1867.543337</td>\n",
       "      <td>-376248.832584</td>\n",
       "      <td>9.015678e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.536689</td>\n",
       "      <td>-374381.289247</td>\n",
       "      <td>9.528176e+05</td>\n",
       "      <td>9.528176e+05</td>\n",
       "      <td>484</td>\n",
       "      <td>[{'amount': 10, 'order_id': '5fb9aa0f128c480fb...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-05 21:00:00+00:00</th>\n",
       "      <td>187.740005</td>\n",
       "      <td>0.506742</td>\n",
       "      <td>4.305344</td>\n",
       "      <td>-0.052174</td>\n",
       "      <td>4.799815</td>\n",
       "      <td>0.443778</td>\n",
       "      <td>1.033630</td>\n",
       "      <td>-1878.348755</td>\n",
       "      <td>-378127.181339</td>\n",
       "      <td>9.086616e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.551544</td>\n",
       "      <td>-376248.832584</td>\n",
       "      <td>9.015678e+05</td>\n",
       "      <td>9.015678e+05</td>\n",
       "      <td>485</td>\n",
       "      <td>[{'amount': 10, 'order_id': '402dc938d4af4879b...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-06 21:00:00+00:00</th>\n",
       "      <td>189.259995</td>\n",
       "      <td>0.506270</td>\n",
       "      <td>4.378902</td>\n",
       "      <td>-0.049279</td>\n",
       "      <td>4.846772</td>\n",
       "      <td>0.443330</td>\n",
       "      <td>1.033691</td>\n",
       "      <td>-1893.556245</td>\n",
       "      <td>-380020.737584</td>\n",
       "      <td>9.179110e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.573701</td>\n",
       "      <td>-378127.181339</td>\n",
       "      <td>9.086616e+05</td>\n",
       "      <td>9.086616e+05</td>\n",
       "      <td>486</td>\n",
       "      <td>[{'amount': 10, 'order_id': '7c3d1162210f4f00b...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-07 21:00:00+00:00</th>\n",
       "      <td>191.990005</td>\n",
       "      <td>0.505967</td>\n",
       "      <td>4.511298</td>\n",
       "      <td>-0.044433</td>\n",
       "      <td>4.931109</td>\n",
       "      <td>0.442937</td>\n",
       "      <td>1.033963</td>\n",
       "      <td>-1920.870005</td>\n",
       "      <td>-381941.607589</td>\n",
       "      <td>9.330714e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.615807</td>\n",
       "      <td>-380020.737584</td>\n",
       "      <td>9.179110e+05</td>\n",
       "      <td>9.179110e+05</td>\n",
       "      <td>487</td>\n",
       "      <td>[{'amount': 10, 'order_id': '3f2d365ef76f4eeeb...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-08 21:00:00+00:00</th>\n",
       "      <td>191.490005</td>\n",
       "      <td>0.505484</td>\n",
       "      <td>4.486989</td>\n",
       "      <td>-0.045256</td>\n",
       "      <td>4.915663</td>\n",
       "      <td>0.442508</td>\n",
       "      <td>1.033990</td>\n",
       "      <td>-1915.867505</td>\n",
       "      <td>-383857.475094</td>\n",
       "      <td>9.325563e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.603671</td>\n",
       "      <td>-381941.607589</td>\n",
       "      <td>9.330714e+05</td>\n",
       "      <td>9.330714e+05</td>\n",
       "      <td>488</td>\n",
       "      <td>[{'amount': 10, 'order_id': '1fa6429e88364d998...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-11 21:00:00+00:00</th>\n",
       "      <td>194.660004</td>\n",
       "      <td>0.505263</td>\n",
       "      <td>4.641358</td>\n",
       "      <td>-0.039863</td>\n",
       "      <td>5.013593</td>\n",
       "      <td>0.442146</td>\n",
       "      <td>1.034360</td>\n",
       "      <td>-1947.583337</td>\n",
       "      <td>-385805.058431</td>\n",
       "      <td>9.499408e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.652197</td>\n",
       "      <td>-383857.475094</td>\n",
       "      <td>9.325563e+05</td>\n",
       "      <td>9.325563e+05</td>\n",
       "      <td>489</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'e6a473fe65014bc69...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-12 21:00:00+00:00</th>\n",
       "      <td>190.839996</td>\n",
       "      <td>0.505446</td>\n",
       "      <td>4.454932</td>\n",
       "      <td>-0.047128</td>\n",
       "      <td>4.895582</td>\n",
       "      <td>0.442020</td>\n",
       "      <td>1.035145</td>\n",
       "      <td>-1909.364163</td>\n",
       "      <td>-387714.422594</td>\n",
       "      <td>9.332076e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.574181</td>\n",
       "      <td>-385805.058431</td>\n",
       "      <td>9.499408e+05</td>\n",
       "      <td>9.499408e+05</td>\n",
       "      <td>490</td>\n",
       "      <td>[{'amount': 10, 'order_id': '519debf519674645b...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-13 21:00:00+00:00</th>\n",
       "      <td>186.179993</td>\n",
       "      <td>0.505991</td>\n",
       "      <td>4.227048</td>\n",
       "      <td>-0.056708</td>\n",
       "      <td>4.751622</td>\n",
       "      <td>0.442037</td>\n",
       "      <td>1.036362</td>\n",
       "      <td>-1862.740827</td>\n",
       "      <td>-389577.163421</td>\n",
       "      <td>9.122820e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.473395</td>\n",
       "      <td>-387714.422594</td>\n",
       "      <td>9.332076e+05</td>\n",
       "      <td>9.332076e+05</td>\n",
       "      <td>491</td>\n",
       "      <td>[{'amount': 10, 'order_id': '4265017c699943828...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-14 21:00:00+00:00</th>\n",
       "      <td>186.470001</td>\n",
       "      <td>0.505476</td>\n",
       "      <td>4.241249</td>\n",
       "      <td>-0.056020</td>\n",
       "      <td>4.760581</td>\n",
       "      <td>0.441590</td>\n",
       "      <td>1.036354</td>\n",
       "      <td>-1865.642362</td>\n",
       "      <td>-391442.805783</td>\n",
       "      <td>9.155677e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.474843</td>\n",
       "      <td>-389577.163421</td>\n",
       "      <td>9.122820e+05</td>\n",
       "      <td>9.122820e+05</td>\n",
       "      <td>492</td>\n",
       "      <td>[{'amount': 10, 'order_id': '1fe8ad74866e42cea...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-15 21:00:00+00:00</th>\n",
       "      <td>191.559998</td>\n",
       "      <td>0.505934</td>\n",
       "      <td>4.491158</td>\n",
       "      <td>-0.047199</td>\n",
       "      <td>4.917825</td>\n",
       "      <td>0.441457</td>\n",
       "      <td>1.037556</td>\n",
       "      <td>-1916.567776</td>\n",
       "      <td>-393359.373558</td>\n",
       "      <td>9.424752e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.558624</td>\n",
       "      <td>-391442.805783</td>\n",
       "      <td>9.155677e+05</td>\n",
       "      <td>9.155677e+05</td>\n",
       "      <td>493</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'df458bbd93ff4678a...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-18 21:00:00+00:00</th>\n",
       "      <td>197.899994</td>\n",
       "      <td>0.506829</td>\n",
       "      <td>4.803076</td>\n",
       "      <td>-0.037401</td>\n",
       "      <td>5.113686</td>\n",
       "      <td>0.441499</td>\n",
       "      <td>1.039282</td>\n",
       "      <td>-1979.999439</td>\n",
       "      <td>-395339.372997</td>\n",
       "      <td>9.756470e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.658926</td>\n",
       "      <td>-393359.373558</td>\n",
       "      <td>9.424752e+05</td>\n",
       "      <td>9.424752e+05</td>\n",
       "      <td>494</td>\n",
       "      <td>[{'amount': 10, 'order_id': '09b4454435554628a...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-19 21:00:00+00:00</th>\n",
       "      <td>196.110001</td>\n",
       "      <td>0.506502</td>\n",
       "      <td>4.714819</td>\n",
       "      <td>-0.040478</td>\n",
       "      <td>5.058387</td>\n",
       "      <td>0.441151</td>\n",
       "      <td>1.039475</td>\n",
       "      <td>-1962.090556</td>\n",
       "      <td>-397301.463553</td>\n",
       "      <td>9.687834e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.624688</td>\n",
       "      <td>-395339.372997</td>\n",
       "      <td>9.756470e+05</td>\n",
       "      <td>9.756470e+05</td>\n",
       "      <td>495</td>\n",
       "      <td>[{'amount': 10, 'order_id': '7cf019b4231540b4b...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-20 21:00:00+00:00</th>\n",
       "      <td>196.800003</td>\n",
       "      <td>0.505992</td>\n",
       "      <td>4.748896</td>\n",
       "      <td>-0.039222</td>\n",
       "      <td>5.079703</td>\n",
       "      <td>0.440705</td>\n",
       "      <td>1.039472</td>\n",
       "      <td>-1968.994031</td>\n",
       "      <td>-399270.457584</td>\n",
       "      <td>9.741600e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.631909</td>\n",
       "      <td>-397301.463553</td>\n",
       "      <td>9.687834e+05</td>\n",
       "      <td>9.687834e+05</td>\n",
       "      <td>496</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'b9ec79ec137240acb...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-21 21:00:00+00:00</th>\n",
       "      <td>195.889999</td>\n",
       "      <td>0.505552</td>\n",
       "      <td>4.703840</td>\n",
       "      <td>-0.040745</td>\n",
       "      <td>5.051591</td>\n",
       "      <td>0.440304</td>\n",
       "      <td>1.039537</td>\n",
       "      <td>-1959.889444</td>\n",
       "      <td>-401230.347028</td>\n",
       "      <td>9.716144e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.613245</td>\n",
       "      <td>-399270.457584</td>\n",
       "      <td>9.741600e+05</td>\n",
       "      <td>9.741600e+05</td>\n",
       "      <td>497</td>\n",
       "      <td>[{'amount': 10, 'order_id': '219ed3faf24b4a13b...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-22 21:00:00+00:00</th>\n",
       "      <td>195.270004</td>\n",
       "      <td>0.505087</td>\n",
       "      <td>4.673079</td>\n",
       "      <td>-0.041764</td>\n",
       "      <td>5.032437</td>\n",
       "      <td>0.439890</td>\n",
       "      <td>1.039574</td>\n",
       "      <td>-1953.686393</td>\n",
       "      <td>-403184.033421</td>\n",
       "      <td>9.704919e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.599457</td>\n",
       "      <td>-401230.347028</td>\n",
       "      <td>9.716144e+05</td>\n",
       "      <td>9.716144e+05</td>\n",
       "      <td>498</td>\n",
       "      <td>[{'amount': 10, 'order_id': '86564f3f3ee245b7b...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-26 21:00:00+00:00</th>\n",
       "      <td>197.440002</td>\n",
       "      <td>0.504693</td>\n",
       "      <td>4.780918</td>\n",
       "      <td>-0.038058</td>\n",
       "      <td>5.099475</td>\n",
       "      <td>0.439478</td>\n",
       "      <td>1.039716</td>\n",
       "      <td>-1975.397224</td>\n",
       "      <td>-405159.430645</td>\n",
       "      <td>9.832512e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.630409</td>\n",
       "      <td>-403184.033421</td>\n",
       "      <td>9.704919e+05</td>\n",
       "      <td>9.704919e+05</td>\n",
       "      <td>499</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'b785b121bccf4c81a...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-27 21:00:00+00:00</th>\n",
       "      <td>197.169998</td>\n",
       "      <td>0.504207</td>\n",
       "      <td>4.767462</td>\n",
       "      <td>-0.038449</td>\n",
       "      <td>5.091134</td>\n",
       "      <td>0.439054</td>\n",
       "      <td>1.039726</td>\n",
       "      <td>-1972.695832</td>\n",
       "      <td>-407132.126477</td>\n",
       "      <td>9.838783e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.622484</td>\n",
       "      <td>-405159.430645</td>\n",
       "      <td>9.832512e+05</td>\n",
       "      <td>9.832512e+05</td>\n",
       "      <td>500</td>\n",
       "      <td>[{'amount': 10, 'order_id': '81278a8a8af446ef8...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-28 21:00:00+00:00</th>\n",
       "      <td>197.399994</td>\n",
       "      <td>0.503705</td>\n",
       "      <td>4.778928</td>\n",
       "      <td>-0.037975</td>\n",
       "      <td>5.098239</td>\n",
       "      <td>0.438619</td>\n",
       "      <td>1.039719</td>\n",
       "      <td>-1974.996939</td>\n",
       "      <td>-409107.123416</td>\n",
       "      <td>9.870000e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.622475</td>\n",
       "      <td>-407132.126477</td>\n",
       "      <td>9.838783e+05</td>\n",
       "      <td>9.838783e+05</td>\n",
       "      <td>501</td>\n",
       "      <td>[{'amount': 10, 'order_id': '312a51edf2f14959a...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-29 21:00:00+00:00</th>\n",
       "      <td>193.500000</td>\n",
       "      <td>0.503911</td>\n",
       "      <td>4.583919</td>\n",
       "      <td>-0.045329</td>\n",
       "      <td>4.977757</td>\n",
       "      <td>0.438503</td>\n",
       "      <td>1.040528</td>\n",
       "      <td>-1935.977500</td>\n",
       "      <td>-411043.100916</td>\n",
       "      <td>9.694350e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.544514</td>\n",
       "      <td>-409107.123416</td>\n",
       "      <td>9.870000e+05</td>\n",
       "      <td>9.870000e+05</td>\n",
       "      <td>502</td>\n",
       "      <td>[{'amount': 10, 'order_id': 'a8ef58b3ef854925a...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>502 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 NVDA  algo_volatility  \\\n",
       "2016-01-05 21:00:00+00:00   32.889999              NaN   \n",
       "2016-01-06 21:00:00+00:00   31.530001         0.000019   \n",
       "2016-01-07 21:00:00+00:00   30.280001         0.001153   \n",
       "2016-01-08 21:00:00+00:00   29.629999         0.001176   \n",
       "2016-01-11 21:00:00+00:00   29.680000         0.001161   \n",
       "2016-01-12 21:00:00+00:00   30.180000         0.001912   \n",
       "2016-01-13 21:00:00+00:00   29.260000         0.003233   \n",
       "2016-01-14 21:00:00+00:00   28.670000         0.003388   \n",
       "2016-01-15 21:00:00+00:00   27.110001         0.006106   \n",
       "2016-01-19 21:00:00+00:00   27.330000         0.006085   \n",
       "2016-01-20 21:00:00+00:00   27.480000         0.005963   \n",
       "2016-01-21 21:00:00+00:00   27.799999         0.006078   \n",
       "2016-01-22 21:00:00+00:00   28.450001         0.006861   \n",
       "2016-01-25 21:00:00+00:00   28.420000         0.006592   \n",
       "2016-01-26 21:00:00+00:00   28.700001         0.006570   \n",
       "2016-01-27 21:00:00+00:00   28.360001         0.006603   \n",
       "2016-01-28 21:00:00+00:00   28.049999         0.006593   \n",
       "2016-01-29 21:00:00+00:00   29.290001         0.010009   \n",
       "2016-02-01 21:00:00+00:00   29.299999         0.009728   \n",
       "2016-02-02 21:00:00+00:00   28.059999         0.012437   \n",
       "2016-02-03 21:00:00+00:00   28.200001         0.012179   \n",
       "2016-02-04 21:00:00+00:00   28.209999         0.011888   \n",
       "2016-02-05 21:00:00+00:00   26.430000         0.016855   \n",
       "2016-02-08 21:00:00+00:00   25.219999         0.018314   \n",
       "2016-02-09 21:00:00+00:00   25.490000         0.018176   \n",
       "2016-02-10 21:00:00+00:00   25.430000         0.017813   \n",
       "2016-02-11 21:00:00+00:00   25.299999         0.017468   \n",
       "2016-02-12 21:00:00+00:00   25.730000         0.017649   \n",
       "2016-02-16 21:00:00+00:00   26.990000         0.020397   \n",
       "2016-02-17 21:00:00+00:00   27.660000         0.020848   \n",
       "...                               ...              ...   \n",
       "2017-11-16 21:00:00+00:00  211.610001         0.499711   \n",
       "2017-11-17 21:00:00+00:00  211.360001         0.499204   \n",
       "2017-11-20 21:00:00+00:00  214.080002         0.498806   \n",
       "2017-11-21 21:00:00+00:00  216.050003         0.498331   \n",
       "2017-11-22 21:00:00+00:00  214.929993         0.497890   \n",
       "2017-11-24 18:00:00+00:00  216.960007         0.497422   \n",
       "2017-11-27 21:00:00+00:00  214.139999         0.497220   \n",
       "2017-11-28 21:00:00+00:00  210.710007         0.497155   \n",
       "2017-11-29 21:00:00+00:00  196.419998         0.503111   \n",
       "2017-11-30 21:00:00+00:00  200.710007         0.503116   \n",
       "2017-12-01 21:00:00+00:00  197.679993         0.503022   \n",
       "2017-12-04 21:00:00+00:00  186.660004         0.507248   \n",
       "2017-12-05 21:00:00+00:00  187.740005         0.506742   \n",
       "2017-12-06 21:00:00+00:00  189.259995         0.506270   \n",
       "2017-12-07 21:00:00+00:00  191.990005         0.505967   \n",
       "2017-12-08 21:00:00+00:00  191.490005         0.505484   \n",
       "2017-12-11 21:00:00+00:00  194.660004         0.505263   \n",
       "2017-12-12 21:00:00+00:00  190.839996         0.505446   \n",
       "2017-12-13 21:00:00+00:00  186.179993         0.505991   \n",
       "2017-12-14 21:00:00+00:00  186.470001         0.505476   \n",
       "2017-12-15 21:00:00+00:00  191.559998         0.505934   \n",
       "2017-12-18 21:00:00+00:00  197.899994         0.506829   \n",
       "2017-12-19 21:00:00+00:00  196.110001         0.506502   \n",
       "2017-12-20 21:00:00+00:00  196.800003         0.505992   \n",
       "2017-12-21 21:00:00+00:00  195.889999         0.505552   \n",
       "2017-12-22 21:00:00+00:00  195.270004         0.505087   \n",
       "2017-12-26 21:00:00+00:00  197.440002         0.504693   \n",
       "2017-12-27 21:00:00+00:00  197.169998         0.504207   \n",
       "2017-12-28 21:00:00+00:00  197.399994         0.503705   \n",
       "2017-12-29 21:00:00+00:00  193.500000         0.503911   \n",
       "\n",
       "                           algorithm_period_return     alpha  \\\n",
       "2016-01-05 21:00:00+00:00                 0.000000       NaN   \n",
       "2016-01-06 21:00:00+00:00                -0.000002 -0.000118   \n",
       "2016-01-07 21:00:00+00:00                -0.000128 -0.004867   \n",
       "2016-01-08 21:00:00+00:00                -0.000260 -0.010506   \n",
       "2016-01-11 21:00:00+00:00                -0.000246 -0.006170   \n",
       "2016-01-12 21:00:00+00:00                -0.000048  0.006678   \n",
       "2016-01-13 21:00:00+00:00                -0.000510 -0.001551   \n",
       "2016-01-14 21:00:00+00:00                -0.000865 -0.008237   \n",
       "2016-01-15 21:00:00+00:00                -0.001959 -0.004791   \n",
       "2016-01-19 21:00:00+00:00                -0.001784 -0.000127   \n",
       "2016-01-20 21:00:00+00:00                -0.001651  0.002449   \n",
       "2016-01-21 21:00:00+00:00                -0.001332  0.008166   \n",
       "2016-01-22 21:00:00+00:00                -0.000619  0.020082   \n",
       "2016-01-25 21:00:00+00:00                -0.000656  0.018001   \n",
       "2016-01-26 21:00:00+00:00                -0.000294  0.021349   \n",
       "2016-01-27 21:00:00+00:00                -0.000771  0.015382   \n",
       "2016-01-28 21:00:00+00:00                -0.001238  0.010031   \n",
       "2016-01-29 21:00:00+00:00                 0.000745  0.036459   \n",
       "2016-02-01 21:00:00+00:00                 0.000760  0.034576   \n",
       "2016-02-02 21:00:00+00:00                -0.001473  0.022675   \n",
       "2016-02-03 21:00:00+00:00                -0.001209  0.023413   \n",
       "2016-02-04 21:00:00+00:00                -0.001190  0.022401   \n",
       "2016-02-05 21:00:00+00:00                -0.004930  0.013999   \n",
       "2016-02-08 21:00:00+00:00                -0.007593  0.007344   \n",
       "2016-02-09 21:00:00+00:00                -0.006973  0.010187   \n",
       "2016-02-10 21:00:00+00:00                -0.007119  0.009086   \n",
       "2016-02-11 21:00:00+00:00                -0.007445  0.007261   \n",
       "2016-02-12 21:00:00+00:00                -0.006329  0.013148   \n",
       "2016-02-16 21:00:00+00:00                -0.002928  0.033502   \n",
       "2016-02-17 21:00:00+00:00                -0.001054  0.041137   \n",
       "...                                            ...       ...   \n",
       "2017-11-16 21:00:00+00:00                 5.453589 -0.002708   \n",
       "2017-11-17 21:00:00+00:00                 5.441778 -0.003046   \n",
       "2017-11-20 21:00:00+00:00                 5.570423  0.000426   \n",
       "2017-11-21 21:00:00+00:00                 5.663791  0.002915   \n",
       "2017-11-22 21:00:00+00:00                 5.610579  0.001404   \n",
       "2017-11-24 18:00:00+00:00                 5.707197  0.003957   \n",
       "2017-11-27 21:00:00+00:00                 5.572672  0.000016   \n",
       "2017-11-28 21:00:00+00:00                 5.408707 -0.005020   \n",
       "2017-11-29 21:00:00+00:00                 4.724206 -0.032255   \n",
       "2017-11-30 21:00:00+00:00                 4.930116 -0.025787   \n",
       "2017-12-01 21:00:00+00:00                 4.784363 -0.030940   \n",
       "2017-12-04 21:00:00+00:00                 4.253190 -0.054317   \n",
       "2017-12-05 21:00:00+00:00                 4.305344 -0.052174   \n",
       "2017-12-06 21:00:00+00:00                 4.378902 -0.049279   \n",
       "2017-12-07 21:00:00+00:00                 4.511298 -0.044433   \n",
       "2017-12-08 21:00:00+00:00                 4.486989 -0.045256   \n",
       "2017-12-11 21:00:00+00:00                 4.641358 -0.039863   \n",
       "2017-12-12 21:00:00+00:00                 4.454932 -0.047128   \n",
       "2017-12-13 21:00:00+00:00                 4.227048 -0.056708   \n",
       "2017-12-14 21:00:00+00:00                 4.241249 -0.056020   \n",
       "2017-12-15 21:00:00+00:00                 4.491158 -0.047199   \n",
       "2017-12-18 21:00:00+00:00                 4.803076 -0.037401   \n",
       "2017-12-19 21:00:00+00:00                 4.714819 -0.040478   \n",
       "2017-12-20 21:00:00+00:00                 4.748896 -0.039222   \n",
       "2017-12-21 21:00:00+00:00                 4.703840 -0.040745   \n",
       "2017-12-22 21:00:00+00:00                 4.673079 -0.041764   \n",
       "2017-12-26 21:00:00+00:00                 4.780918 -0.038058   \n",
       "2017-12-27 21:00:00+00:00                 4.767462 -0.038449   \n",
       "2017-12-28 21:00:00+00:00                 4.778928 -0.037975   \n",
       "2017-12-29 21:00:00+00:00                 4.583919 -0.045329   \n",
       "\n",
       "                           benchmark_period_return  benchmark_volatility  \\\n",
       "2016-01-05 21:00:00+00:00                 0.016064                   NaN   \n",
       "2016-01-06 21:00:00+00:00                -0.025950              0.644473   \n",
       "2016-01-07 21:00:00+00:00                -0.064566              0.518573   \n",
       "2016-01-08 21:00:00+00:00                -0.084646              0.423415   \n",
       "2016-01-11 21:00:00+00:00                -0.083102              0.402232   \n",
       "2016-01-12 21:00:00+00:00                -0.067655              0.421167   \n",
       "2016-01-13 21:00:00+00:00                -0.096077              0.401313   \n",
       "2016-01-14 21:00:00+00:00                -0.114303              0.373125   \n",
       "2016-01-15 21:00:00+00:00                -0.162496              0.407093   \n",
       "2016-01-19 21:00:00+00:00                -0.155700              0.407592   \n",
       "2016-01-20 21:00:00+00:00                -0.151066              0.400719   \n",
       "2016-01-21 21:00:00+00:00                -0.141180              0.400393   \n",
       "2016-01-22 21:00:00+00:00                -0.121100              0.414298   \n",
       "2016-01-25 21:00:00+00:00                -0.122027              0.399678   \n",
       "2016-01-26 21:00:00+00:00                -0.113377              0.392776   \n",
       "2016-01-27 21:00:00+00:00                -0.123880              0.379815   \n",
       "2016-01-28 21:00:00+00:00                -0.133457              0.367932   \n",
       "2016-01-29 21:00:00+00:00                -0.095150              0.407142   \n",
       "2016-02-01 21:00:00+00:00                -0.094841              0.396190   \n",
       "2016-02-02 21:00:00+00:00                -0.133148              0.407821   \n",
       "2016-02-03 21:00:00+00:00                -0.128823              0.399588   \n",
       "2016-02-04 21:00:00+00:00                -0.128514              0.390596   \n",
       "2016-02-05 21:00:00+00:00                -0.183503              0.425940   \n",
       "2016-02-08 21:00:00+00:00                -0.220884              0.433807   \n",
       "2016-02-09 21:00:00+00:00                -0.212542              0.429723   \n",
       "2016-02-10 21:00:00+00:00                -0.214396              0.421573   \n",
       "2016-02-11 21:00:00+00:00                -0.218412              0.413548   \n",
       "2016-02-12 21:00:00+00:00                -0.205128              0.413104   \n",
       "2016-02-16 21:00:00+00:00                -0.166203              0.438861   \n",
       "2016-02-17 21:00:00+00:00                -0.145505              0.440311   \n",
       "...                                            ...                   ...   \n",
       "2017-11-16 21:00:00+00:00                 5.537226              0.443159   \n",
       "2017-11-17 21:00:00+00:00                 5.529503              0.442709   \n",
       "2017-11-20 21:00:00+00:00                 5.613531              0.442285   \n",
       "2017-11-21 21:00:00+00:00                 5.674390              0.441833   \n",
       "2017-11-22 21:00:00+00:00                 5.639790              0.441424   \n",
       "2017-11-24 18:00:00+00:00                 5.702502              0.440976   \n",
       "2017-11-27 21:00:00+00:00                 5.615385              0.440694   \n",
       "2017-11-28 21:00:00+00:00                 5.509422              0.440481   \n",
       "2017-11-29 21:00:00+00:00                 5.067964              0.443105   \n",
       "2017-11-30 21:00:00+00:00                 5.200494              0.442829   \n",
       "2017-12-01 21:00:00+00:00                 5.106889              0.442588   \n",
       "2017-12-04 21:00:00+00:00                 4.766450              0.444236   \n",
       "2017-12-05 21:00:00+00:00                 4.799815              0.443778   \n",
       "2017-12-06 21:00:00+00:00                 4.846772              0.443330   \n",
       "2017-12-07 21:00:00+00:00                 4.931109              0.442937   \n",
       "2017-12-08 21:00:00+00:00                 4.915663              0.442508   \n",
       "2017-12-11 21:00:00+00:00                 5.013593              0.442146   \n",
       "2017-12-12 21:00:00+00:00                 4.895582              0.442020   \n",
       "2017-12-13 21:00:00+00:00                 4.751622              0.442037   \n",
       "2017-12-14 21:00:00+00:00                 4.760581              0.441590   \n",
       "2017-12-15 21:00:00+00:00                 4.917825              0.441457   \n",
       "2017-12-18 21:00:00+00:00                 5.113686              0.441499   \n",
       "2017-12-19 21:00:00+00:00                 5.058387              0.441151   \n",
       "2017-12-20 21:00:00+00:00                 5.079703              0.440705   \n",
       "2017-12-21 21:00:00+00:00                 5.051591              0.440304   \n",
       "2017-12-22 21:00:00+00:00                 5.032437              0.439890   \n",
       "2017-12-26 21:00:00+00:00                 5.099475              0.439478   \n",
       "2017-12-27 21:00:00+00:00                 5.091134              0.439054   \n",
       "2017-12-28 21:00:00+00:00                 5.098239              0.438619   \n",
       "2017-12-29 21:00:00+00:00                 4.977757              0.438503   \n",
       "\n",
       "                               beta  capital_used    ending_cash  \\\n",
       "2016-01-05 21:00:00+00:00       NaN      0.000000  100000.000000   \n",
       "2016-01-06 21:00:00+00:00  0.000029   -315.467657   99684.532343   \n",
       "2016-01-07 21:00:00+00:00  0.001083   -302.961407   99381.570936   \n",
       "2016-01-08 21:00:00+00:00  0.001078   -296.458142   99085.112795   \n",
       "2016-01-11 21:00:00+00:00  0.001464   -296.958403   98788.154392   \n",
       "2016-01-12 21:00:00+00:00  0.003051   -301.960903   98486.193489   \n",
       "2016-01-13 21:00:00+00:00  0.004744   -292.756302   98193.437186   \n",
       "2016-01-14 21:00:00+00:00  0.005095   -286.853351   97906.583835   \n",
       "2016-01-15 21:00:00+00:00  0.010344   -271.245556   97635.338279   \n",
       "2016-01-19 21:00:00+00:00  0.010799   -273.446649   97361.891630   \n",
       "2016-01-20 21:00:00+00:00  0.011034   -274.947395   97086.944235   \n",
       "2016-01-21 21:00:00+00:00  0.011653   -278.148992   96808.795242   \n",
       "2016-01-22 21:00:00+00:00  0.013304   -284.652258   96524.142985   \n",
       "2016-01-25 21:00:00+00:00  0.013205   -284.352101   96239.790884   \n",
       "2016-01-26 21:00:00+00:00  0.013535   -287.153508   95952.637376   \n",
       "2016-01-27 21:00:00+00:00  0.013717   -283.751806   95668.885570   \n",
       "2016-01-28 21:00:00+00:00  0.013840   -280.650242   95388.235328   \n",
       "2016-01-29 21:00:00+00:00  0.019734   -293.056459   95095.178869   \n",
       "2016-02-01 21:00:00+00:00  0.019670   -293.156492   94802.022376   \n",
       "2016-02-02 21:00:00+00:00  0.024022   -280.750295   94521.272082   \n",
       "2016-02-03 21:00:00+00:00  0.024071   -282.151008   94239.121074   \n",
       "2016-02-04 21:00:00+00:00  0.024030   -282.251041   93956.870033   \n",
       "2016-02-05 21:00:00+00:00  0.032026   -264.442153   93692.427880   \n",
       "2016-02-08 21:00:00+00:00  0.034665   -252.336093   93440.091787   \n",
       "2016-02-09 21:00:00+00:00  0.034918   -255.037448   93185.054339   \n",
       "2016-02-10 21:00:00+00:00  0.034879   -254.437153   92930.617186   \n",
       "2016-02-11 21:00:00+00:00  0.034840   -253.136492   92677.480694   \n",
       "2016-02-12 21:00:00+00:00  0.035525   -257.438645   92420.042048   \n",
       "2016-02-16 21:00:00+00:00  0.039703   -270.044948   92149.997101   \n",
       "2016-02-17 21:00:00+00:00  0.040716   -276.748298   91873.248802   \n",
       "...                             ...           ...            ...   \n",
       "2017-11-16 21:00:00+00:00  1.018669  -2117.168056 -353440.323962   \n",
       "2017-11-17 21:00:00+00:00  1.018678  -2114.666806 -355554.990768   \n",
       "2017-11-20 21:00:00+00:00  1.018837  -2141.880418 -357696.871186   \n",
       "2017-11-21 21:00:00+00:00  1.018901  -2161.590281 -359858.461467   \n",
       "2017-11-22 21:00:00+00:00  1.018971  -2150.384577 -362008.846044   \n",
       "2017-11-24 18:00:00+00:00  1.019040  -2170.694867 -364179.540911   \n",
       "2017-11-27 21:00:00+00:00  1.019361  -2142.480694 -366322.021605   \n",
       "2017-11-28 21:00:00+00:00  1.019835  -2108.163617 -368430.185222   \n",
       "2017-11-29 21:00:00+00:00  1.027073  -1965.192082 -370395.377303   \n",
       "2017-11-30 21:00:00+00:00  1.027719  -2008.113617 -372403.490921   \n",
       "2017-12-01 21:00:00+00:00  1.028178  -1977.798327 -374381.289247   \n",
       "2017-12-04 21:00:00+00:00  1.033610  -1867.543337 -376248.832584   \n",
       "2017-12-05 21:00:00+00:00  1.033630  -1878.348755 -378127.181339   \n",
       "2017-12-06 21:00:00+00:00  1.033691  -1893.556245 -380020.737584   \n",
       "2017-12-07 21:00:00+00:00  1.033963  -1920.870005 -381941.607589   \n",
       "2017-12-08 21:00:00+00:00  1.033990  -1915.867505 -383857.475094   \n",
       "2017-12-11 21:00:00+00:00  1.034360  -1947.583337 -385805.058431   \n",
       "2017-12-12 21:00:00+00:00  1.035145  -1909.364163 -387714.422594   \n",
       "2017-12-13 21:00:00+00:00  1.036362  -1862.740827 -389577.163421   \n",
       "2017-12-14 21:00:00+00:00  1.036354  -1865.642362 -391442.805783   \n",
       "2017-12-15 21:00:00+00:00  1.037556  -1916.567776 -393359.373558   \n",
       "2017-12-18 21:00:00+00:00  1.039282  -1979.999439 -395339.372997   \n",
       "2017-12-19 21:00:00+00:00  1.039475  -1962.090556 -397301.463553   \n",
       "2017-12-20 21:00:00+00:00  1.039472  -1968.994031 -399270.457584   \n",
       "2017-12-21 21:00:00+00:00  1.039537  -1959.889444 -401230.347028   \n",
       "2017-12-22 21:00:00+00:00  1.039574  -1953.686393 -403184.033421   \n",
       "2017-12-26 21:00:00+00:00  1.039716  -1975.397224 -405159.430645   \n",
       "2017-12-27 21:00:00+00:00  1.039726  -1972.695832 -407132.126477   \n",
       "2017-12-28 21:00:00+00:00  1.039719  -1974.996939 -409107.123416   \n",
       "2017-12-29 21:00:00+00:00  1.040528  -1935.977500 -411043.100916   \n",
       "\n",
       "                           ending_exposure          ...            \\\n",
       "2016-01-05 21:00:00+00:00     0.000000e+00          ...             \n",
       "2016-01-06 21:00:00+00:00     3.153000e+02          ...             \n",
       "2016-01-07 21:00:00+00:00     6.056000e+02          ...             \n",
       "2016-01-08 21:00:00+00:00     8.889000e+02          ...             \n",
       "2016-01-11 21:00:00+00:00     1.187200e+03          ...             \n",
       "2016-01-12 21:00:00+00:00     1.509000e+03          ...             \n",
       "2016-01-13 21:00:00+00:00     1.755600e+03          ...             \n",
       "2016-01-14 21:00:00+00:00     2.006900e+03          ...             \n",
       "2016-01-15 21:00:00+00:00     2.168800e+03          ...             \n",
       "2016-01-19 21:00:00+00:00     2.459700e+03          ...             \n",
       "2016-01-20 21:00:00+00:00     2.748000e+03          ...             \n",
       "2016-01-21 21:00:00+00:00     3.058000e+03          ...             \n",
       "2016-01-22 21:00:00+00:00     3.414000e+03          ...             \n",
       "2016-01-25 21:00:00+00:00     3.694600e+03          ...             \n",
       "2016-01-26 21:00:00+00:00     4.018000e+03          ...             \n",
       "2016-01-27 21:00:00+00:00     4.254000e+03          ...             \n",
       "2016-01-28 21:00:00+00:00     4.488000e+03          ...             \n",
       "2016-01-29 21:00:00+00:00     4.979300e+03          ...             \n",
       "2016-02-01 21:00:00+00:00     5.274000e+03          ...             \n",
       "2016-02-02 21:00:00+00:00     5.331400e+03          ...             \n",
       "2016-02-03 21:00:00+00:00     5.640000e+03          ...             \n",
       "2016-02-04 21:00:00+00:00     5.924100e+03          ...             \n",
       "2016-02-05 21:00:00+00:00     5.814600e+03          ...             \n",
       "2016-02-08 21:00:00+00:00     5.800600e+03          ...             \n",
       "2016-02-09 21:00:00+00:00     6.117600e+03          ...             \n",
       "2016-02-10 21:00:00+00:00     6.357500e+03          ...             \n",
       "2016-02-11 21:00:00+00:00     6.578000e+03          ...             \n",
       "2016-02-12 21:00:00+00:00     6.947100e+03          ...             \n",
       "2016-02-16 21:00:00+00:00     7.557200e+03          ...             \n",
       "2016-02-17 21:00:00+00:00     8.021400e+03          ...             \n",
       "...                                    ...          ...             \n",
       "2017-11-16 21:00:00+00:00     9.987992e+05          ...             \n",
       "2017-11-17 21:00:00+00:00     9.997328e+05          ...             \n",
       "2017-11-20 21:00:00+00:00     1.014739e+06          ...             \n",
       "2017-11-21 21:00:00+00:00     1.026238e+06          ...             \n",
       "2017-11-22 21:00:00+00:00     1.023067e+06          ...             \n",
       "2017-11-24 18:00:00+00:00     1.034899e+06          ...             \n",
       "2017-11-27 21:00:00+00:00     1.023589e+06          ...             \n",
       "2017-11-28 21:00:00+00:00     1.009301e+06          ...             \n",
       "2017-11-29 21:00:00+00:00     9.428160e+05          ...             \n",
       "2017-11-30 21:00:00+00:00     9.654151e+05          ...             \n",
       "2017-12-01 21:00:00+00:00     9.528176e+05          ...             \n",
       "2017-12-04 21:00:00+00:00     9.015678e+05          ...             \n",
       "2017-12-05 21:00:00+00:00     9.086616e+05          ...             \n",
       "2017-12-06 21:00:00+00:00     9.179110e+05          ...             \n",
       "2017-12-07 21:00:00+00:00     9.330714e+05          ...             \n",
       "2017-12-08 21:00:00+00:00     9.325563e+05          ...             \n",
       "2017-12-11 21:00:00+00:00     9.499408e+05          ...             \n",
       "2017-12-12 21:00:00+00:00     9.332076e+05          ...             \n",
       "2017-12-13 21:00:00+00:00     9.122820e+05          ...             \n",
       "2017-12-14 21:00:00+00:00     9.155677e+05          ...             \n",
       "2017-12-15 21:00:00+00:00     9.424752e+05          ...             \n",
       "2017-12-18 21:00:00+00:00     9.756470e+05          ...             \n",
       "2017-12-19 21:00:00+00:00     9.687834e+05          ...             \n",
       "2017-12-20 21:00:00+00:00     9.741600e+05          ...             \n",
       "2017-12-21 21:00:00+00:00     9.716144e+05          ...             \n",
       "2017-12-22 21:00:00+00:00     9.704919e+05          ...             \n",
       "2017-12-26 21:00:00+00:00     9.832512e+05          ...             \n",
       "2017-12-27 21:00:00+00:00     9.838783e+05          ...             \n",
       "2017-12-28 21:00:00+00:00     9.870000e+05          ...             \n",
       "2017-12-29 21:00:00+00:00     9.694350e+05          ...             \n",
       "\n",
       "                           short_exposure  short_value  shorts_count  \\\n",
       "2016-01-05 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-01-06 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-01-07 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-01-08 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-01-11 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-01-12 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-01-13 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-01-14 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-01-15 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-01-19 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-01-20 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-01-21 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-01-22 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-01-25 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-01-26 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-01-27 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-01-28 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-01-29 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-02-01 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-02-02 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-02-03 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-02-04 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-02-05 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-02-08 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-02-09 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-02-10 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-02-11 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-02-12 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-02-16 21:00:00+00:00             0.0          0.0             0   \n",
       "2016-02-17 21:00:00+00:00             0.0          0.0             0   \n",
       "...                                   ...          ...           ...   \n",
       "2017-11-16 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-11-17 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-11-20 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-11-21 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-11-22 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-11-24 18:00:00+00:00             0.0          0.0             0   \n",
       "2017-11-27 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-11-28 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-11-29 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-11-30 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-01 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-04 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-05 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-06 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-07 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-08 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-11 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-12 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-13 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-14 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-15 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-18 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-19 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-20 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-21 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-22 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-26 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-27 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-28 21:00:00+00:00             0.0          0.0             0   \n",
       "2017-12-29 21:00:00+00:00             0.0          0.0             0   \n",
       "\n",
       "                             sortino  starting_cash  starting_exposure  \\\n",
       "2016-01-05 21:00:00+00:00        NaN  100000.000000       0.000000e+00   \n",
       "2016-01-06 21:00:00+00:00 -11.224972  100000.000000       0.000000e+00   \n",
       "2016-01-07 21:00:00+00:00  -9.285693   99684.532343       3.153000e+02   \n",
       "2016-01-08 21:00:00+00:00 -11.295272   99381.570936       6.056000e+02   \n",
       "2016-01-11 21:00:00+00:00  -9.581123   99085.112795       8.889000e+02   \n",
       "2016-01-12 21:00:00+00:00  -1.704402   98788.154392       1.187200e+03   \n",
       "2016-01-13 21:00:00+00:00  -6.159727   98486.193489       1.509000e+03   \n",
       "2016-01-14 21:00:00+00:00  -7.952686   98193.437186       1.755600e+03   \n",
       "2016-01-15 21:00:00+00:00  -8.274358   97906.583835       2.006900e+03   \n",
       "2016-01-19 21:00:00+00:00  -7.149278   97635.338279       2.168800e+03   \n",
       "2016-01-20 21:00:00+00:00  -6.305708   97361.891630       2.459700e+03   \n",
       "2016-01-21 21:00:00+00:00  -4.870692   97086.944235       2.748000e+03   \n",
       "2016-01-22 21:00:00+00:00  -2.169762   96808.795242       3.058000e+03   \n",
       "2016-01-25 21:00:00+00:00  -2.216941   96524.142985       3.414000e+03   \n",
       "2016-01-26 21:00:00+00:00  -0.956079   96239.790884       3.694600e+03   \n",
       "2016-01-27 21:00:00+00:00  -2.277914   95952.637376       4.018000e+03   \n",
       "2016-01-28 21:00:00+00:00  -3.352436   95668.885570       4.254000e+03   \n",
       "2016-01-29 21:00:00+00:00   1.969834   95388.235328       4.488000e+03   \n",
       "2016-02-01 21:00:00+00:00   1.956827   95095.178869       4.979300e+03   \n",
       "2016-02-02 21:00:00+00:00  -1.970292   94802.022376       5.274000e+03   \n",
       "2016-02-03 21:00:00+00:00  -1.575974   94521.272082       5.331400e+03   \n",
       "2016-02-04 21:00:00+00:00  -1.516062   94239.121074       5.640000e+03   \n",
       "2016-02-05 21:00:00+00:00  -3.558930   93956.870033       5.924100e+03   \n",
       "2016-02-08 21:00:00+00:00  -4.642537   93692.427880       5.814600e+03   \n",
       "2016-02-09 21:00:00+00:00  -4.175315   93440.091787       5.800600e+03   \n",
       "2016-02-10 21:00:00+00:00  -4.178498   93185.054339       6.117600e+03   \n",
       "2016-02-11 21:00:00+00:00  -4.281296   92930.617186       6.357500e+03   \n",
       "2016-02-12 21:00:00+00:00  -3.569833   92677.480694       6.578000e+03   \n",
       "2016-02-16 21:00:00+00:00  -1.611719   92420.042048       6.947100e+03   \n",
       "2016-02-17 21:00:00+00:00  -0.560538   92149.997101       7.557200e+03   \n",
       "...                              ...            ...                ...   \n",
       "2017-11-16 21:00:00+00:00   4.260903 -351323.155906       9.890058e+05   \n",
       "2017-11-17 21:00:00+00:00   4.252622 -353440.323962       9.987992e+05   \n",
       "2017-11-20 21:00:00+00:00   4.288789 -355554.990768       9.997328e+05   \n",
       "2017-11-21 21:00:00+00:00   4.313174 -357696.871186       1.014739e+06   \n",
       "2017-11-22 21:00:00+00:00   4.291364 -359858.461467       1.026238e+06   \n",
       "2017-11-24 18:00:00+00:00   4.316519 -362008.846044       1.023067e+06   \n",
       "2017-11-27 21:00:00+00:00   4.264681 -364179.540911       1.034899e+06   \n",
       "2017-11-28 21:00:00+00:00   4.199664 -366322.021605       1.023589e+06   \n",
       "2017-11-29 21:00:00+00:00   3.815252 -368430.185222       1.009301e+06   \n",
       "2017-11-30 21:00:00+00:00   3.880667 -370395.377303       9.428160e+05   \n",
       "2017-12-01 21:00:00+00:00   3.821092 -372403.490921       9.654151e+05   \n",
       "2017-12-04 21:00:00+00:00   3.536689 -374381.289247       9.528176e+05   \n",
       "2017-12-05 21:00:00+00:00   3.551544 -376248.832584       9.015678e+05   \n",
       "2017-12-06 21:00:00+00:00   3.573701 -378127.181339       9.086616e+05   \n",
       "2017-12-07 21:00:00+00:00   3.615807 -380020.737584       9.179110e+05   \n",
       "2017-12-08 21:00:00+00:00   3.603671 -381941.607589       9.330714e+05   \n",
       "2017-12-11 21:00:00+00:00   3.652197 -383857.475094       9.325563e+05   \n",
       "2017-12-12 21:00:00+00:00   3.574181 -385805.058431       9.499408e+05   \n",
       "2017-12-13 21:00:00+00:00   3.473395 -387714.422594       9.332076e+05   \n",
       "2017-12-14 21:00:00+00:00   3.474843 -389577.163421       9.122820e+05   \n",
       "2017-12-15 21:00:00+00:00   3.558624 -391442.805783       9.155677e+05   \n",
       "2017-12-18 21:00:00+00:00   3.658926 -393359.373558       9.424752e+05   \n",
       "2017-12-19 21:00:00+00:00   3.624688 -395339.372997       9.756470e+05   \n",
       "2017-12-20 21:00:00+00:00   3.631909 -397301.463553       9.687834e+05   \n",
       "2017-12-21 21:00:00+00:00   3.613245 -399270.457584       9.741600e+05   \n",
       "2017-12-22 21:00:00+00:00   3.599457 -401230.347028       9.716144e+05   \n",
       "2017-12-26 21:00:00+00:00   3.630409 -403184.033421       9.704919e+05   \n",
       "2017-12-27 21:00:00+00:00   3.622484 -405159.430645       9.832512e+05   \n",
       "2017-12-28 21:00:00+00:00   3.622475 -407132.126477       9.838783e+05   \n",
       "2017-12-29 21:00:00+00:00   3.544514 -409107.123416       9.870000e+05   \n",
       "\n",
       "                           starting_value  trading_days  \\\n",
       "2016-01-05 21:00:00+00:00    0.000000e+00             1   \n",
       "2016-01-06 21:00:00+00:00    0.000000e+00             2   \n",
       "2016-01-07 21:00:00+00:00    3.153000e+02             3   \n",
       "2016-01-08 21:00:00+00:00    6.056000e+02             4   \n",
       "2016-01-11 21:00:00+00:00    8.889000e+02             5   \n",
       "2016-01-12 21:00:00+00:00    1.187200e+03             6   \n",
       "2016-01-13 21:00:00+00:00    1.509000e+03             7   \n",
       "2016-01-14 21:00:00+00:00    1.755600e+03             8   \n",
       "2016-01-15 21:00:00+00:00    2.006900e+03             9   \n",
       "2016-01-19 21:00:00+00:00    2.168800e+03            10   \n",
       "2016-01-20 21:00:00+00:00    2.459700e+03            11   \n",
       "2016-01-21 21:00:00+00:00    2.748000e+03            12   \n",
       "2016-01-22 21:00:00+00:00    3.058000e+03            13   \n",
       "2016-01-25 21:00:00+00:00    3.414000e+03            14   \n",
       "2016-01-26 21:00:00+00:00    3.694600e+03            15   \n",
       "2016-01-27 21:00:00+00:00    4.018000e+03            16   \n",
       "2016-01-28 21:00:00+00:00    4.254000e+03            17   \n",
       "2016-01-29 21:00:00+00:00    4.488000e+03            18   \n",
       "2016-02-01 21:00:00+00:00    4.979300e+03            19   \n",
       "2016-02-02 21:00:00+00:00    5.274000e+03            20   \n",
       "2016-02-03 21:00:00+00:00    5.331400e+03            21   \n",
       "2016-02-04 21:00:00+00:00    5.640000e+03            22   \n",
       "2016-02-05 21:00:00+00:00    5.924100e+03            23   \n",
       "2016-02-08 21:00:00+00:00    5.814600e+03            24   \n",
       "2016-02-09 21:00:00+00:00    5.800600e+03            25   \n",
       "2016-02-10 21:00:00+00:00    6.117600e+03            26   \n",
       "2016-02-11 21:00:00+00:00    6.357500e+03            27   \n",
       "2016-02-12 21:00:00+00:00    6.578000e+03            28   \n",
       "2016-02-16 21:00:00+00:00    6.947100e+03            29   \n",
       "2016-02-17 21:00:00+00:00    7.557200e+03            30   \n",
       "...                                   ...           ...   \n",
       "2017-11-16 21:00:00+00:00    9.890058e+05           473   \n",
       "2017-11-17 21:00:00+00:00    9.987992e+05           474   \n",
       "2017-11-20 21:00:00+00:00    9.997328e+05           475   \n",
       "2017-11-21 21:00:00+00:00    1.014739e+06           476   \n",
       "2017-11-22 21:00:00+00:00    1.026238e+06           477   \n",
       "2017-11-24 18:00:00+00:00    1.023067e+06           478   \n",
       "2017-11-27 21:00:00+00:00    1.034899e+06           479   \n",
       "2017-11-28 21:00:00+00:00    1.023589e+06           480   \n",
       "2017-11-29 21:00:00+00:00    1.009301e+06           481   \n",
       "2017-11-30 21:00:00+00:00    9.428160e+05           482   \n",
       "2017-12-01 21:00:00+00:00    9.654151e+05           483   \n",
       "2017-12-04 21:00:00+00:00    9.528176e+05           484   \n",
       "2017-12-05 21:00:00+00:00    9.015678e+05           485   \n",
       "2017-12-06 21:00:00+00:00    9.086616e+05           486   \n",
       "2017-12-07 21:00:00+00:00    9.179110e+05           487   \n",
       "2017-12-08 21:00:00+00:00    9.330714e+05           488   \n",
       "2017-12-11 21:00:00+00:00    9.325563e+05           489   \n",
       "2017-12-12 21:00:00+00:00    9.499408e+05           490   \n",
       "2017-12-13 21:00:00+00:00    9.332076e+05           491   \n",
       "2017-12-14 21:00:00+00:00    9.122820e+05           492   \n",
       "2017-12-15 21:00:00+00:00    9.155677e+05           493   \n",
       "2017-12-18 21:00:00+00:00    9.424752e+05           494   \n",
       "2017-12-19 21:00:00+00:00    9.756470e+05           495   \n",
       "2017-12-20 21:00:00+00:00    9.687834e+05           496   \n",
       "2017-12-21 21:00:00+00:00    9.741600e+05           497   \n",
       "2017-12-22 21:00:00+00:00    9.716144e+05           498   \n",
       "2017-12-26 21:00:00+00:00    9.704919e+05           499   \n",
       "2017-12-27 21:00:00+00:00    9.832512e+05           500   \n",
       "2017-12-28 21:00:00+00:00    9.838783e+05           501   \n",
       "2017-12-29 21:00:00+00:00    9.870000e+05           502   \n",
       "\n",
       "                                                                transactions  \\\n",
       "2016-01-05 21:00:00+00:00                                                 []   \n",
       "2016-01-06 21:00:00+00:00  [{'amount': 10, 'order_id': '308f29a7707b4af49...   \n",
       "2016-01-07 21:00:00+00:00  [{'amount': 10, 'order_id': 'bb6a3e9d2fe04fe4b...   \n",
       "2016-01-08 21:00:00+00:00  [{'amount': 10, 'order_id': '430979b079634c699...   \n",
       "2016-01-11 21:00:00+00:00  [{'amount': 10, 'order_id': '74979c467891412aa...   \n",
       "2016-01-12 21:00:00+00:00  [{'amount': 10, 'order_id': 'c9958a422623463a9...   \n",
       "2016-01-13 21:00:00+00:00  [{'amount': 10, 'order_id': 'ac9e55382c8d4681b...   \n",
       "2016-01-14 21:00:00+00:00  [{'amount': 10, 'order_id': '6c04fd6504d0492ca...   \n",
       "2016-01-15 21:00:00+00:00  [{'amount': 10, 'order_id': '5ea3f953c38e4888b...   \n",
       "2016-01-19 21:00:00+00:00  [{'amount': 10, 'order_id': '6da2e8b55a88456da...   \n",
       "2016-01-20 21:00:00+00:00  [{'amount': 10, 'order_id': '83a652e3abf2452aa...   \n",
       "2016-01-21 21:00:00+00:00  [{'amount': 10, 'order_id': 'ec219f00b8444efd8...   \n",
       "2016-01-22 21:00:00+00:00  [{'amount': 10, 'order_id': '41d835c2dc0f41eea...   \n",
       "2016-01-25 21:00:00+00:00  [{'amount': 10, 'order_id': '28190aab32a24feaa...   \n",
       "2016-01-26 21:00:00+00:00  [{'amount': 10, 'order_id': '4f3689d736324a38a...   \n",
       "2016-01-27 21:00:00+00:00  [{'amount': 10, 'order_id': '291dbbd5f1e741848...   \n",
       "2016-01-28 21:00:00+00:00  [{'amount': 10, 'order_id': 'ce2fe8e9e9b345d08...   \n",
       "2016-01-29 21:00:00+00:00  [{'amount': 10, 'order_id': 'bfcda4610045409a8...   \n",
       "2016-02-01 21:00:00+00:00  [{'amount': 10, 'order_id': '33f43ec5e090459b8...   \n",
       "2016-02-02 21:00:00+00:00  [{'amount': 10, 'order_id': 'eabe0c0ad4c448259...   \n",
       "2016-02-03 21:00:00+00:00  [{'amount': 10, 'order_id': '12175e4fc0004e15b...   \n",
       "2016-02-04 21:00:00+00:00  [{'amount': 10, 'order_id': '5b856e5e4e2f4fb28...   \n",
       "2016-02-05 21:00:00+00:00  [{'amount': 10, 'order_id': '0972590a42a842c09...   \n",
       "2016-02-08 21:00:00+00:00  [{'amount': 10, 'order_id': 'bd78c96d92b44816b...   \n",
       "2016-02-09 21:00:00+00:00  [{'amount': 10, 'order_id': '8eff17131b9a4b83a...   \n",
       "2016-02-10 21:00:00+00:00  [{'amount': 10, 'order_id': '7c3eba86d9e344069...   \n",
       "2016-02-11 21:00:00+00:00  [{'amount': 10, 'order_id': '3cf8680892ab46e4a...   \n",
       "2016-02-12 21:00:00+00:00  [{'amount': 10, 'order_id': 'b7dc52a4e1674fec8...   \n",
       "2016-02-16 21:00:00+00:00  [{'amount': 10, 'order_id': '470427c5d81540aaa...   \n",
       "2016-02-17 21:00:00+00:00  [{'amount': 10, 'order_id': '75a140d987ed4786b...   \n",
       "...                                                                      ...   \n",
       "2017-11-16 21:00:00+00:00  [{'amount': 10, 'order_id': '98dab2ac02c3495eb...   \n",
       "2017-11-17 21:00:00+00:00  [{'amount': 10, 'order_id': '25eb366478904df8b...   \n",
       "2017-11-20 21:00:00+00:00  [{'amount': 10, 'order_id': 'a409a3266c414daeb...   \n",
       "2017-11-21 21:00:00+00:00  [{'amount': 10, 'order_id': 'd027190b3f0246cd9...   \n",
       "2017-11-22 21:00:00+00:00  [{'amount': 10, 'order_id': 'dd27ae53091646668...   \n",
       "2017-11-24 18:00:00+00:00  [{'amount': 10, 'order_id': '2898fbff571b44aeb...   \n",
       "2017-11-27 21:00:00+00:00  [{'amount': 10, 'order_id': '7b83863f63654302a...   \n",
       "2017-11-28 21:00:00+00:00  [{'amount': 10, 'order_id': '16bf5ef493984afe9...   \n",
       "2017-11-29 21:00:00+00:00  [{'amount': 10, 'order_id': '75d9ef6dd570494f8...   \n",
       "2017-11-30 21:00:00+00:00  [{'amount': 10, 'order_id': 'bbe3e7203c0542f98...   \n",
       "2017-12-01 21:00:00+00:00  [{'amount': 10, 'order_id': '8b99970f043e4c97b...   \n",
       "2017-12-04 21:00:00+00:00  [{'amount': 10, 'order_id': '5fb9aa0f128c480fb...   \n",
       "2017-12-05 21:00:00+00:00  [{'amount': 10, 'order_id': '402dc938d4af4879b...   \n",
       "2017-12-06 21:00:00+00:00  [{'amount': 10, 'order_id': '7c3d1162210f4f00b...   \n",
       "2017-12-07 21:00:00+00:00  [{'amount': 10, 'order_id': '3f2d365ef76f4eeeb...   \n",
       "2017-12-08 21:00:00+00:00  [{'amount': 10, 'order_id': '1fa6429e88364d998...   \n",
       "2017-12-11 21:00:00+00:00  [{'amount': 10, 'order_id': 'e6a473fe65014bc69...   \n",
       "2017-12-12 21:00:00+00:00  [{'amount': 10, 'order_id': '519debf519674645b...   \n",
       "2017-12-13 21:00:00+00:00  [{'amount': 10, 'order_id': '4265017c699943828...   \n",
       "2017-12-14 21:00:00+00:00  [{'amount': 10, 'order_id': '1fe8ad74866e42cea...   \n",
       "2017-12-15 21:00:00+00:00  [{'amount': 10, 'order_id': 'df458bbd93ff4678a...   \n",
       "2017-12-18 21:00:00+00:00  [{'amount': 10, 'order_id': '09b4454435554628a...   \n",
       "2017-12-19 21:00:00+00:00  [{'amount': 10, 'order_id': '7cf019b4231540b4b...   \n",
       "2017-12-20 21:00:00+00:00  [{'amount': 10, 'order_id': 'b9ec79ec137240acb...   \n",
       "2017-12-21 21:00:00+00:00  [{'amount': 10, 'order_id': '219ed3faf24b4a13b...   \n",
       "2017-12-22 21:00:00+00:00  [{'amount': 10, 'order_id': '86564f3f3ee245b7b...   \n",
       "2017-12-26 21:00:00+00:00  [{'amount': 10, 'order_id': 'b785b121bccf4c81a...   \n",
       "2017-12-27 21:00:00+00:00  [{'amount': 10, 'order_id': '81278a8a8af446ef8...   \n",
       "2017-12-28 21:00:00+00:00  [{'amount': 10, 'order_id': '312a51edf2f14959a...   \n",
       "2017-12-29 21:00:00+00:00  [{'amount': 10, 'order_id': 'a8ef58b3ef854925a...   \n",
       "\n",
       "                          treasury_period_return  \n",
       "2016-01-05 21:00:00+00:00                    0.0  \n",
       "2016-01-06 21:00:00+00:00                    0.0  \n",
       "2016-01-07 21:00:00+00:00                    0.0  \n",
       "2016-01-08 21:00:00+00:00                    0.0  \n",
       "2016-01-11 21:00:00+00:00                    0.0  \n",
       "2016-01-12 21:00:00+00:00                    0.0  \n",
       "2016-01-13 21:00:00+00:00                    0.0  \n",
       "2016-01-14 21:00:00+00:00                    0.0  \n",
       "2016-01-15 21:00:00+00:00                    0.0  \n",
       "2016-01-19 21:00:00+00:00                    0.0  \n",
       "2016-01-20 21:00:00+00:00                    0.0  \n",
       "2016-01-21 21:00:00+00:00                    0.0  \n",
       "2016-01-22 21:00:00+00:00                    0.0  \n",
       "2016-01-25 21:00:00+00:00                    0.0  \n",
       "2016-01-26 21:00:00+00:00                    0.0  \n",
       "2016-01-27 21:00:00+00:00                    0.0  \n",
       "2016-01-28 21:00:00+00:00                    0.0  \n",
       "2016-01-29 21:00:00+00:00                    0.0  \n",
       "2016-02-01 21:00:00+00:00                    0.0  \n",
       "2016-02-02 21:00:00+00:00                    0.0  \n",
       "2016-02-03 21:00:00+00:00                    0.0  \n",
       "2016-02-04 21:00:00+00:00                    0.0  \n",
       "2016-02-05 21:00:00+00:00                    0.0  \n",
       "2016-02-08 21:00:00+00:00                    0.0  \n",
       "2016-02-09 21:00:00+00:00                    0.0  \n",
       "2016-02-10 21:00:00+00:00                    0.0  \n",
       "2016-02-11 21:00:00+00:00                    0.0  \n",
       "2016-02-12 21:00:00+00:00                    0.0  \n",
       "2016-02-16 21:00:00+00:00                    0.0  \n",
       "2016-02-17 21:00:00+00:00                    0.0  \n",
       "...                                          ...  \n",
       "2017-11-16 21:00:00+00:00                    0.0  \n",
       "2017-11-17 21:00:00+00:00                    0.0  \n",
       "2017-11-20 21:00:00+00:00                    0.0  \n",
       "2017-11-21 21:00:00+00:00                    0.0  \n",
       "2017-11-22 21:00:00+00:00                    0.0  \n",
       "2017-11-24 18:00:00+00:00                    0.0  \n",
       "2017-11-27 21:00:00+00:00                    0.0  \n",
       "2017-11-28 21:00:00+00:00                    0.0  \n",
       "2017-11-29 21:00:00+00:00                    0.0  \n",
       "2017-11-30 21:00:00+00:00                    0.0  \n",
       "2017-12-01 21:00:00+00:00                    0.0  \n",
       "2017-12-04 21:00:00+00:00                    0.0  \n",
       "2017-12-05 21:00:00+00:00                    0.0  \n",
       "2017-12-06 21:00:00+00:00                    0.0  \n",
       "2017-12-07 21:00:00+00:00                    0.0  \n",
       "2017-12-08 21:00:00+00:00                    0.0  \n",
       "2017-12-11 21:00:00+00:00                    0.0  \n",
       "2017-12-12 21:00:00+00:00                    0.0  \n",
       "2017-12-13 21:00:00+00:00                    0.0  \n",
       "2017-12-14 21:00:00+00:00                    0.0  \n",
       "2017-12-15 21:00:00+00:00                    0.0  \n",
       "2017-12-18 21:00:00+00:00                    0.0  \n",
       "2017-12-19 21:00:00+00:00                    0.0  \n",
       "2017-12-20 21:00:00+00:00                    0.0  \n",
       "2017-12-21 21:00:00+00:00                    0.0  \n",
       "2017-12-22 21:00:00+00:00                    0.0  \n",
       "2017-12-26 21:00:00+00:00                    0.0  \n",
       "2017-12-27 21:00:00+00:00                    0.0  \n",
       "2017-12-28 21:00:00+00:00                    0.0  \n",
       "2017-12-29 21:00:00+00:00                    0.0  \n",
       "\n",
       "[502 rows x 38 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "perf"
   ]
  }
 ],
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