examples/single-asset-ma-crossover.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "! pip install btester requests tqdm yfinance quantstats==0.0.59"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[*********************100%%**********************]  1 of 1 completed\n"
     ]
    }
   ],
   "source": [
    "import yfinance as yf\n",
    "import pandas as pd\n",
    "\n",
    "start = '2006-01-01'\n",
    "end = '2024-01-01'\n",
    "\n",
    "symbol = 'AAPL'\n",
    "\n",
    "data = yf.download(symbol, start, end)\n",
    "benchmark = data['Close']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from btester import Strategy\n",
    "\n",
    "def EMA(ser: pd.Series, period: int):\n",
    "    return ser.ewm(span=period, adjust=False).mean().values\n",
    "\n",
    "class MACrossoverStrategy(Strategy):\n",
    "    def init(self, fast_period: int, slow_period: int):\n",
    "        self.fast_ma = EMA(self.data['Close'], fast_period)\n",
    "        self.slow_ma = EMA(self.data['Close'], slow_period)\n",
    "\n",
    "    def next(self, i, record):\n",
    "        if self.fast_ma[i-1] > self.slow_ma[i-1]:\n",
    "            self.open(price=record['Open'])\n",
    "        else:\n",
    "            self.close(price=record['Open'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from btester import Backtest\n",
    "backtest = Backtest(MACrossoverStrategy, data, commission=.001, cash=1e6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 25/25 [00:00<00:00, 42.10it/s]\n"
     ]
    }
   ],
   "source": [
    "import quantstats as qs\n",
    "from itertools import product\n",
    "from tqdm.contrib.concurrent import process_map\n",
    "\n",
    "parameters = ['Fast MA','Slow MA']\n",
    "values = [[5, 10, 15, 20, 25], [30, 35, 40, 45, 50]]\n",
    "\n",
    "def run(v):\n",
    "    result = backtest.run(*v)\n",
    "    returns = result.returns\n",
    "    return [*v, returns.iloc[0], returns.iloc[-1], qs.stats.max_drawdown(returns) * 100, qs.stats.cagr(returns) * 100, qs.stats.sharpe(returns)]\n",
    "\n",
    "optimization_results = process_map(run, list(product(*values)))\n",
    "optimization_results = pd.DataFrame(optimization_results, columns=[*parameters,'Initial Capital','Cumulative Return','Max Drawdown (%)','CAGR (%)','Sharpe Ratio'])\n",
    "optimization_results.set_index([*parameters], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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></th>\n",
       "      <th>Initial Capital</th>\n",
       "      <th>Cumulative Return</th>\n",
       "      <th>Max Drawdown (%)</th>\n",
       "      <th>CAGR (%)</th>\n",
       "      <th>Sharpe Ratio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fast MA</th>\n",
       "      <th>Slow MA</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <th>40</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>4.259749e+07</td>\n",
       "      <td>-32.368637</td>\n",
       "      <td>22.965066</td>\n",
       "      <td>1.027992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <th>30</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>3.331955e+07</td>\n",
       "      <td>-26.957375</td>\n",
       "      <td>21.298074</td>\n",
       "      <td>1.010103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">15</th>\n",
       "      <th>50</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>4.206925e+07</td>\n",
       "      <td>-31.849891</td>\n",
       "      <td>22.879839</td>\n",
       "      <td>1.005542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>3.933729e+07</td>\n",
       "      <td>-29.853600</td>\n",
       "      <td>22.422252</td>\n",
       "      <td>1.001510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <th>30</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>3.677927e+07</td>\n",
       "      <td>-27.761538</td>\n",
       "      <td>21.965731</td>\n",
       "      <td>1.001184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <th>35</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>3.592651e+07</td>\n",
       "      <td>-30.693334</td>\n",
       "      <td>21.806855</td>\n",
       "      <td>0.998207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <th>35</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>3.904566e+07</td>\n",
       "      <td>-28.792054</td>\n",
       "      <td>22.371646</td>\n",
       "      <td>0.986157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">5</th>\n",
       "      <th>45</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>3.351782e+07</td>\n",
       "      <td>-28.950665</td>\n",
       "      <td>21.338068</td>\n",
       "      <td>0.984059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>3.107334e+07</td>\n",
       "      <td>-26.041942</td>\n",
       "      <td>20.828587</td>\n",
       "      <td>0.983252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <th>45</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>3.447149e+07</td>\n",
       "      <td>-28.879571</td>\n",
       "      <td>21.527366</td>\n",
       "      <td>0.978880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">20</th>\n",
       "      <th>45</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>3.660443e+07</td>\n",
       "      <td>-27.593604</td>\n",
       "      <td>21.933443</td>\n",
       "      <td>0.969251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>3.331321e+07</td>\n",
       "      <td>-32.471298</td>\n",
       "      <td>21.296791</td>\n",
       "      <td>0.968217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>3.445833e+07</td>\n",
       "      <td>-30.539176</td>\n",
       "      <td>21.524788</td>\n",
       "      <td>0.961070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <th>40</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>2.973629e+07</td>\n",
       "      <td>-32.077388</td>\n",
       "      <td>20.533663</td>\n",
       "      <td>0.959638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">10</th>\n",
       "      <th>30</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>2.907231e+07</td>\n",
       "      <td>-27.930253</td>\n",
       "      <td>20.382519</td>\n",
       "      <td>0.958044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>3.162149e+07</td>\n",
       "      <td>-34.680739</td>\n",
       "      <td>20.946044</td>\n",
       "      <td>0.951926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">25</th>\n",
       "      <th>40</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>3.351111e+07</td>\n",
       "      <td>-29.950521</td>\n",
       "      <td>21.336718</td>\n",
       "      <td>0.947933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>2.831381e+07</td>\n",
       "      <td>-30.935617</td>\n",
       "      <td>20.205818</td>\n",
       "      <td>0.927726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <th>30</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>2.647738e+07</td>\n",
       "      <td>-28.246007</td>\n",
       "      <td>19.758756</td>\n",
       "      <td>0.926014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <th>50</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>3.052529e+07</td>\n",
       "      <td>-31.462612</td>\n",
       "      <td>20.709176</td>\n",
       "      <td>0.923504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <th>35</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>2.592967e+07</td>\n",
       "      <td>-28.847491</td>\n",
       "      <td>19.619743</td>\n",
       "      <td>0.919874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <th>45</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>2.913173e+07</td>\n",
       "      <td>-36.083784</td>\n",
       "      <td>20.396177</td>\n",
       "      <td>0.910132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <th>40</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>2.484586e+07</td>\n",
       "      <td>-29.274934</td>\n",
       "      <td>19.336295</td>\n",
       "      <td>0.902522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <th>50</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>2.768966e+07</td>\n",
       "      <td>-34.720589</td>\n",
       "      <td>20.057028</td>\n",
       "      <td>0.890006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <th>50</th>\n",
       "      <td>1.031712e+06</td>\n",
       "      <td>2.304413e+07</td>\n",
       "      <td>-28.449735</td>\n",
       "      <td>18.838169</td>\n",
       "      <td>0.883666</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Initial Capital  Cumulative Return  Max Drawdown (%)  \\\n",
       "Fast MA Slow MA                                                         \n",
       "15      40          1.031712e+06       4.259749e+07        -32.368637   \n",
       "5       30          1.031712e+06       3.331955e+07        -26.957375   \n",
       "15      50          1.031712e+06       4.206925e+07        -31.849891   \n",
       "        45          1.031712e+06       3.933729e+07        -29.853600   \n",
       "20      30          1.031712e+06       3.677927e+07        -27.761538   \n",
       "15      35          1.031712e+06       3.592651e+07        -30.693334   \n",
       "25      35          1.031712e+06       3.904566e+07        -28.792054   \n",
       "5       45          1.031712e+06       3.351782e+07        -28.950665   \n",
       "        35          1.031712e+06       3.107334e+07        -26.041942   \n",
       "10      45          1.031712e+06       3.447149e+07        -28.879571   \n",
       "20      45          1.031712e+06       3.660443e+07        -27.593604   \n",
       "        35          1.031712e+06       3.331321e+07        -32.471298   \n",
       "        40          1.031712e+06       3.445833e+07        -30.539176   \n",
       "5       40          1.031712e+06       2.973629e+07        -32.077388   \n",
       "10      30          1.031712e+06       2.907231e+07        -27.930253   \n",
       "        50          1.031712e+06       3.162149e+07        -34.680739   \n",
       "25      40          1.031712e+06       3.351111e+07        -29.950521   \n",
       "        30          1.031712e+06       2.831381e+07        -30.935617   \n",
       "15      30          1.031712e+06       2.647738e+07        -28.246007   \n",
       "20      50          1.031712e+06       3.052529e+07        -31.462612   \n",
       "10      35          1.031712e+06       2.592967e+07        -28.847491   \n",
       "25      45          1.031712e+06       2.913173e+07        -36.083784   \n",
       "10      40          1.031712e+06       2.484586e+07        -29.274934   \n",
       "25      50          1.031712e+06       2.768966e+07        -34.720589   \n",
       "5       50          1.031712e+06       2.304413e+07        -28.449735   \n",
       "\n",
       "                  CAGR (%)  Sharpe Ratio  \n",
       "Fast MA Slow MA                           \n",
       "15      40       22.965066      1.027992  \n",
       "5       30       21.298074      1.010103  \n",
       "15      50       22.879839      1.005542  \n",
       "        45       22.422252      1.001510  \n",
       "20      30       21.965731      1.001184  \n",
       "15      35       21.806855      0.998207  \n",
       "25      35       22.371646      0.986157  \n",
       "5       45       21.338068      0.984059  \n",
       "        35       20.828587      0.983252  \n",
       "10      45       21.527366      0.978880  \n",
       "20      45       21.933443      0.969251  \n",
       "        35       21.296791      0.968217  \n",
       "        40       21.524788      0.961070  \n",
       "5       40       20.533663      0.959638  \n",
       "10      30       20.382519      0.958044  \n",
       "        50       20.946044      0.951926  \n",
       "25      40       21.336718      0.947933  \n",
       "        30       20.205818      0.927726  \n",
       "15      30       19.758756      0.926014  \n",
       "20      50       20.709176      0.923504  \n",
       "10      35       19.619743      0.919874  \n",
       "25      45       20.396177      0.910132  \n",
       "10      40       19.336295      0.902522  \n",
       "25      50       20.057028      0.890006  \n",
       "5       50       18.838169      0.883666  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "optimization_results_sorted = optimization_results.sort_values('Sharpe Ratio', ascending=False)\n",
    "optimization_results_sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(12,4))\n",
    "\n",
    "ax[0].set_title('Cumulative Return\\n', fontsize=14, fontweight='bold')\n",
    "ax[1].set_title('Max Drawdown (%)\\n', fontsize=14, fontweight='bold')\n",
    "\n",
    "reshape = lambda d: pd.DataFrame(d.values.reshape(len(d.index.levels[0]), len(d.index.levels[1])), d.index.levels[0], d.index.levels[1])\n",
    "\n",
    "sns.set(font_scale=.7)\n",
    "sns.heatmap(reshape(optimization_results['Cumulative Return']), ax=ax[0], annot=True, fmt='.0g', linewidth=.5, square=True, cmap='Greens')\n",
    "sns.heatmap(reshape(optimization_results['Max Drawdown (%)']), ax=ax[1], annot=True, fmt='.2f', linewidth=.5, square=True, cmap='Reds')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(15, 40)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_params = optimization_results_sorted.index[0]\n",
    "best_params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "result = backtest.run(*best_params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                    Strategy    Benchmark\n",
      "------------------  ----------  -----------\n",
      "Start Period        2006-01-03  2006-01-03\n",
      "End Period          2023-12-29  2023-12-29\n",
      "Risk-Free Rate      0.0%        0.0%\n",
      "Time in Market      69.0%       100.0%\n",
      "\n",
      "Cumulative Return   4,028.82%   7,111.83%\n",
      "CAGR﹪              22.97%      26.84%\n",
      "\n",
      "Sharpe              1.03        0.9\n",
      "Prob. Sharpe Ratio  100.0%      99.99%\n",
      "Sortino             1.55        1.32\n",
      "Sortino/√2          1.09        0.94\n",
      "Omega               1.24        1.24\n",
      "\n",
      "Max Drawdown        -32.37%     -60.87%\n",
      "Longest DD Days     724         720\n",
      "\n",
      "Gain/Pain Ratio     0.24        0.18\n",
      "Gain/Pain (1M)      1.29        1.0\n",
      "\n",
      "Payoff Ratio        1.11        1.11\n",
      "Profit Factor       1.24        1.18\n",
      "Common Sense Ratio  1.39        1.25\n",
      "CPC Index           0.73        0.69\n",
      "Tail Ratio          1.12        1.07\n",
      "Outlier Win Ratio   7.15        3.44\n",
      "Outlier Loss Ratio  4.17        3.54\n",
      "\n",
      "MTD                 1.36%       1.36%\n",
      "3M                  5.13%       12.8%\n",
      "6M                  -1.6%       1.73%\n",
      "YTD                 28.34%      48.18%\n",
      "1Y                  28.34%      52.75%\n",
      "3Y (ann.)           2.29%       12.36%\n",
      "5Y (ann.)           23.96%      38.3%\n",
      "10Y (ann.)          17.0%       25.4%\n",
      "All-time (ann.)     22.97%      26.84%\n",
      "\n",
      "Avg. Drawdown       -4.24%      -4.95%\n",
      "Avg. Drawdown Days  37          36\n",
      "Recovery Factor     124.47      116.84\n",
      "Ulcer Index         0.12        0.18\n",
      "Serenity Index      22.59       23.94\n"
     ]
    }
   ],
   "source": [
    "import quantstats as qs\n",
    "qs.reports.metrics(result.returns, benchmark)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "qs.plots.log_returns(result.returns, benchmark, fontname='sans-serif')\n",
    "qs.plots.drawdown(result.returns, figsize=(10,3), fontname='sans-serif')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>symbol</th>\n",
       "      <th>open_date</th>\n",
       "      <th>close_date</th>\n",
       "      <th>open_price</th>\n",
       "      <th>close_price</th>\n",
       "      <th>position_size</th>\n",
       "      <th>profit_loss</th>\n",
       "      <th>change_pct</th>\n",
       "      <th>trade_commission</th>\n",
       "      <th>cumulative_return</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>None</td>\n",
       "      <td>2006-01-03</td>\n",
       "      <td>2006-01-04</td>\n",
       "      <td>2.585000</td>\n",
       "      <td>2.683214</td>\n",
       "      <td>386460.728920</td>\n",
       "      <td>3.795582e+04</td>\n",
       "      <td>3.799378</td>\n",
       "      <td>2035.957818</td>\n",
       "      <td>1.035920e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>None</td>\n",
       "      <td>2006-01-05</td>\n",
       "      <td>2006-01-06</td>\n",
       "      <td>2.672500</td>\n",
       "      <td>2.687500</td>\n",
       "      <td>387234.805420</td>\n",
       "      <td>5.808563e+03</td>\n",
       "      <td>0.561276</td>\n",
       "      <td>2075.578516</td>\n",
       "      <td>1.039653e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>None</td>\n",
       "      <td>2006-01-09</td>\n",
       "      <td>2006-02-01</td>\n",
       "      <td>2.740357</td>\n",
       "      <td>2.676786</td>\n",
       "      <td>379006.918186</td>\n",
       "      <td>-2.409384e+04</td>\n",
       "      <td>-2.319806</td>\n",
       "      <td>2053.134624</td>\n",
       "      <td>1.013506e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>None</td>\n",
       "      <td>2006-04-28</td>\n",
       "      <td>2006-05-19</td>\n",
       "      <td>2.477857</td>\n",
       "      <td>2.259286</td>\n",
       "      <td>408616.531180</td>\n",
       "      <td>-8.931180e+04</td>\n",
       "      <td>-8.820976</td>\n",
       "      <td>1935.674957</td>\n",
       "      <td>9.222584e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>None</td>\n",
       "      <td>2006-07-31</td>\n",
       "      <td>2007-02-05</td>\n",
       "      <td>2.386786</td>\n",
       "      <td>3.010714</td>\n",
       "      <td>386015.782682</td>\n",
       "      <td>2.408461e+05</td>\n",
       "      <td>26.140931</td>\n",
       "      <td>2083.520202</td>\n",
       "      <td>1.161021e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>None</td>\n",
       "      <td>2007-02-23</td>\n",
       "      <td>2007-03-01</td>\n",
       "      <td>3.184286</td>\n",
       "      <td>3.001071</td>\n",
       "      <td>364245.251516</td>\n",
       "      <td>-6.673525e+04</td>\n",
       "      <td>-5.753727</td>\n",
       "      <td>2252.986950</td>\n",
       "      <td>1.092033e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>None</td>\n",
       "      <td>2007-03-02</td>\n",
       "      <td>2007-03-05</td>\n",
       "      <td>3.098929</td>\n",
       "      <td>3.067500</td>\n",
       "      <td>352038.336516</td>\n",
       "      <td>-1.106415e+04</td>\n",
       "      <td>-1.014183</td>\n",
       "      <td>2170.819422</td>\n",
       "      <td>1.078798e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>None</td>\n",
       "      <td>2007-03-07</td>\n",
       "      <td>2007-08-17</td>\n",
       "      <td>3.144643</td>\n",
       "      <td>4.357500</td>\n",
       "      <td>342716.173652</td>\n",
       "      <td>4.156657e+05</td>\n",
       "      <td>38.568988</td>\n",
       "      <td>2571.105793</td>\n",
       "      <td>1.491892e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>None</td>\n",
       "      <td>2007-08-27</td>\n",
       "      <td>2008-01-16</td>\n",
       "      <td>4.763929</td>\n",
       "      <td>5.901071</td>\n",
       "      <td>312851.429872</td>\n",
       "      <td>3.557566e+05</td>\n",
       "      <td>23.869840</td>\n",
       "      <td>3336.560488</td>\n",
       "      <td>1.844312e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>None</td>\n",
       "      <td>2008-04-01</td>\n",
       "      <td>2008-07-01</td>\n",
       "      <td>5.225000</td>\n",
       "      <td>5.865357</td>\n",
       "      <td>352625.823493</td>\n",
       "      <td>2.258064e+05</td>\n",
       "      <td>12.255637</td>\n",
       "      <td>3910.746209</td>\n",
       "      <td>2.066208e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>None</td>\n",
       "      <td>2008-08-18</td>\n",
       "      <td>2008-09-05</td>\n",
       "      <td>6.270357</td>\n",
       "      <td>5.663929</td>\n",
       "      <td>329190.802231</td>\n",
       "      <td>-1.996306e+05</td>\n",
       "      <td>-9.671349</td>\n",
       "      <td>3928.657221</td>\n",
       "      <td>1.862649e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>None</td>\n",
       "      <td>2009-02-09</td>\n",
       "      <td>2009-02-27</td>\n",
       "      <td>3.571429</td>\n",
       "      <td>3.140357</td>\n",
       "      <td>521020.582459</td>\n",
       "      <td>-2.245974e+05</td>\n",
       "      <td>-12.070014</td>\n",
       "      <td>3496.978668</td>\n",
       "      <td>1.634554e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>None</td>\n",
       "      <td>2009-03-18</td>\n",
       "      <td>2010-02-02</td>\n",
       "      <td>3.568214</td>\n",
       "      <td>6.996786</td>\n",
       "      <td>457629.939750</td>\n",
       "      <td>1.569017e+06</td>\n",
       "      <td>96.086508</td>\n",
       "      <td>4834.860340</td>\n",
       "      <td>3.198737e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>None</td>\n",
       "      <td>2010-03-02</td>\n",
       "      <td>2010-07-19</td>\n",
       "      <td>7.497500</td>\n",
       "      <td>8.924286</td>\n",
       "      <td>426214.251906</td>\n",
       "      <td>6.081165e+05</td>\n",
       "      <td>19.030156</td>\n",
       "      <td>6999.199163</td>\n",
       "      <td>3.799854e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>None</td>\n",
       "      <td>2010-07-27</td>\n",
       "      <td>2010-08-16</td>\n",
       "      <td>9.316786</td>\n",
       "      <td>8.842143</td>\n",
       "      <td>407442.887959</td>\n",
       "      <td>-1.933898e+05</td>\n",
       "      <td>-5.094490</td>\n",
       "      <td>7398.726421</td>\n",
       "      <td>3.599066e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>None</td>\n",
       "      <td>2010-09-10</td>\n",
       "      <td>2011-03-21</td>\n",
       "      <td>9.399643</td>\n",
       "      <td>11.999643</td>\n",
       "      <td>382511.355637</td>\n",
       "      <td>9.945297e+05</td>\n",
       "      <td>27.660629</td>\n",
       "      <td>8185.470001</td>\n",
       "      <td>4.585410e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>None</td>\n",
       "      <td>2011-03-29</td>\n",
       "      <td>2011-04-06</td>\n",
       "      <td>12.416429</td>\n",
       "      <td>12.186429</td>\n",
       "      <td>368932.900675</td>\n",
       "      <td>-8.485440e+04</td>\n",
       "      <td>-1.852381</td>\n",
       "      <td>9076.803615</td>\n",
       "      <td>4.491479e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>None</td>\n",
       "      <td>2011-04-28</td>\n",
       "      <td>2011-05-18</td>\n",
       "      <td>12.363929</td>\n",
       "      <td>12.016786</td>\n",
       "      <td>362909.857926</td>\n",
       "      <td>-1.259817e+05</td>\n",
       "      <td>-2.807709</td>\n",
       "      <td>8848.001605</td>\n",
       "      <td>4.356649e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>None</td>\n",
       "      <td>2011-07-07</td>\n",
       "      <td>2011-11-16</td>\n",
       "      <td>12.666786</td>\n",
       "      <td>13.901786</td>\n",
       "      <td>343599.125260</td>\n",
       "      <td>4.243448e+05</td>\n",
       "      <td>9.749905</td>\n",
       "      <td>9128.938114</td>\n",
       "      <td>4.771865e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>None</td>\n",
       "      <td>2011-12-23</td>\n",
       "      <td>2012-05-15</td>\n",
       "      <td>14.274643</td>\n",
       "      <td>20.051786</td>\n",
       "      <td>333955.653896</td>\n",
       "      <td>1.929310e+06</td>\n",
       "      <td>40.471369</td>\n",
       "      <td>11463.505165</td>\n",
       "      <td>6.689711e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>None</td>\n",
       "      <td>2012-06-18</td>\n",
       "      <td>2012-10-12</td>\n",
       "      <td>20.391430</td>\n",
       "      <td>22.484285</td>\n",
       "      <td>327737.095610</td>\n",
       "      <td>6.859064e+05</td>\n",
       "      <td>10.263407</td>\n",
       "      <td>14051.962390</td>\n",
       "      <td>7.361565e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>None</td>\n",
       "      <td>2013-05-09</td>\n",
       "      <td>2013-06-17</td>\n",
       "      <td>16.421785</td>\n",
       "      <td>15.408571</td>\n",
       "      <td>447832.624442</td>\n",
       "      <td>-4.537503e+05</td>\n",
       "      <td>-6.169939</td>\n",
       "      <td>14254.672132</td>\n",
       "      <td>6.893560e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>None</td>\n",
       "      <td>2013-07-26</td>\n",
       "      <td>2014-01-29</td>\n",
       "      <td>15.546429</td>\n",
       "      <td>17.998215</td>\n",
       "      <td>442974.647470</td>\n",
       "      <td>1.086079e+06</td>\n",
       "      <td>15.770735</td>\n",
       "      <td>14859.426586</td>\n",
       "      <td>7.964780e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>None</td>\n",
       "      <td>2014-03-26</td>\n",
       "      <td>2014-04-10</td>\n",
       "      <td>19.518572</td>\n",
       "      <td>18.952856</td>\n",
       "      <td>407653.966951</td>\n",
       "      <td>-2.306163e+05</td>\n",
       "      <td>-2.898346</td>\n",
       "      <td>15683.030205</td>\n",
       "      <td>7.718481e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>None</td>\n",
       "      <td>2014-04-25</td>\n",
       "      <td>2014-10-17</td>\n",
       "      <td>20.161785</td>\n",
       "      <td>24.375000</td>\n",
       "      <td>382444.805083</td>\n",
       "      <td>1.611322e+06</td>\n",
       "      <td>20.897033</td>\n",
       "      <td>17032.862106</td>\n",
       "      <td>9.312770e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>None</td>\n",
       "      <td>2014-10-22</td>\n",
       "      <td>2015-01-07</td>\n",
       "      <td>25.709999</td>\n",
       "      <td>26.799999</td>\n",
       "      <td>361861.800720</td>\n",
       "      <td>3.944294e+05</td>\n",
       "      <td>4.239596</td>\n",
       "      <td>19001.362548</td>\n",
       "      <td>9.688198e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>None</td>\n",
       "      <td>2015-01-27</td>\n",
       "      <td>2015-01-28</td>\n",
       "      <td>28.105000</td>\n",
       "      <td>29.407499</td>\n",
       "      <td>344370.031144</td>\n",
       "      <td>4.485419e+05</td>\n",
       "      <td>4.634406</td>\n",
       "      <td>19805.581022</td>\n",
       "      <td>1.011693e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>None</td>\n",
       "      <td>2015-01-29</td>\n",
       "      <td>2015-06-22</td>\n",
       "      <td>29.080000</td>\n",
       "      <td>31.872499</td>\n",
       "      <td>347552.530670</td>\n",
       "      <td>9.705403e+05</td>\n",
       "      <td>9.602818</td>\n",
       "      <td>21184.195414</td>\n",
       "      <td>1.106629e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>None</td>\n",
       "      <td>2015-07-22</td>\n",
       "      <td>2015-07-24</td>\n",
       "      <td>30.497499</td>\n",
       "      <td>31.330000</td>\n",
       "      <td>362496.448518</td>\n",
       "      <td>3.017785e+05</td>\n",
       "      <td>2.729733</td>\n",
       "      <td>22412.248950</td>\n",
       "      <td>1.134566e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>None</td>\n",
       "      <td>2015-10-27</td>\n",
       "      <td>2015-12-15</td>\n",
       "      <td>28.850000</td>\n",
       "      <td>27.985001</td>\n",
       "      <td>392870.787469</td>\n",
       "      <td>-3.398331e+05</td>\n",
       "      <td>-2.998266</td>\n",
       "      <td>22328.811595</td>\n",
       "      <td>1.098349e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>None</td>\n",
       "      <td>2016-03-11</td>\n",
       "      <td>2016-04-29</td>\n",
       "      <td>25.559999</td>\n",
       "      <td>23.497499</td>\n",
       "      <td>429284.915686</td>\n",
       "      <td>-8.854001e+05</td>\n",
       "      <td>-8.069249</td>\n",
       "      <td>21059.644293</td>\n",
       "      <td>1.007703e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>None</td>\n",
       "      <td>2016-07-19</td>\n",
       "      <td>2016-11-10</td>\n",
       "      <td>24.889999</td>\n",
       "      <td>27.772499</td>\n",
       "      <td>404458.346077</td>\n",
       "      <td>1.165851e+06</td>\n",
       "      <td>11.580955</td>\n",
       "      <td>21299.787033</td>\n",
       "      <td>1.122159e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>None</td>\n",
       "      <td>2016-12-14</td>\n",
       "      <td>2017-06-20</td>\n",
       "      <td>28.760000</td>\n",
       "      <td>36.717499</td>\n",
       "      <td>389790.534145</td>\n",
       "      <td>3.101758e+06</td>\n",
       "      <td>27.668632</td>\n",
       "      <td>25522.509313</td>\n",
       "      <td>1.429782e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>None</td>\n",
       "      <td>2017-07-20</td>\n",
       "      <td>2017-09-26</td>\n",
       "      <td>37.875000</td>\n",
       "      <td>37.945000</td>\n",
       "      <td>377123.109978</td>\n",
       "      <td>2.639850e+04</td>\n",
       "      <td>0.184818</td>\n",
       "      <td>28593.474083</td>\n",
       "      <td>1.429563e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>None</td>\n",
       "      <td>2017-10-18</td>\n",
       "      <td>2018-02-01</td>\n",
       "      <td>40.105000</td>\n",
       "      <td>41.792500</td>\n",
       "      <td>356098.869835</td>\n",
       "      <td>6.009168e+05</td>\n",
       "      <td>4.207705</td>\n",
       "      <td>29163.606866</td>\n",
       "      <td>1.486738e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>None</td>\n",
       "      <td>2018-02-27</td>\n",
       "      <td>2018-03-29</td>\n",
       "      <td>44.775002</td>\n",
       "      <td>41.952499</td>\n",
       "      <td>331714.719363</td>\n",
       "      <td>-9.362655e+05</td>\n",
       "      <td>-6.303745</td>\n",
       "      <td>28768.788627</td>\n",
       "      <td>1.390235e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>None</td>\n",
       "      <td>2018-04-17</td>\n",
       "      <td>2018-04-24</td>\n",
       "      <td>44.122501</td>\n",
       "      <td>41.417500</td>\n",
       "      <td>314770.387239</td>\n",
       "      <td>-8.514545e+05</td>\n",
       "      <td>-6.130663</td>\n",
       "      <td>26925.459213</td>\n",
       "      <td>1.302397e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>None</td>\n",
       "      <td>2018-05-07</td>\n",
       "      <td>2018-10-31</td>\n",
       "      <td>46.294998</td>\n",
       "      <td>54.220001</td>\n",
       "      <td>281044.495673</td>\n",
       "      <td>2.227278e+06</td>\n",
       "      <td>17.118487</td>\n",
       "      <td>28249.187311</td>\n",
       "      <td>1.522299e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>None</td>\n",
       "      <td>2018-11-02</td>\n",
       "      <td>2018-11-05</td>\n",
       "      <td>52.387501</td>\n",
       "      <td>51.075001</td>\n",
       "      <td>290294.185774</td>\n",
       "      <td>-3.810111e+05</td>\n",
       "      <td>-2.505369</td>\n",
       "      <td>30034.562639</td>\n",
       "      <td>1.481195e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>None</td>\n",
       "      <td>2019-02-11</td>\n",
       "      <td>2019-05-21</td>\n",
       "      <td>42.762501</td>\n",
       "      <td>46.305000</td>\n",
       "      <td>346031.021766</td>\n",
       "      <td>1.225815e+06</td>\n",
       "      <td>8.284126</td>\n",
       "      <td>30820.118401</td>\n",
       "      <td>1.600694e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>None</td>\n",
       "      <td>2019-06-19</td>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>49.919998</td>\n",
       "      <td>70.570000</td>\n",
       "      <td>320331.595269</td>\n",
       "      <td>6.614848e+06</td>\n",
       "      <td>41.366190</td>\n",
       "      <td>38596.753230</td>\n",
       "      <td>2.258319e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>None</td>\n",
       "      <td>2020-04-27</td>\n",
       "      <td>2020-11-03</td>\n",
       "      <td>70.449997</td>\n",
       "      <td>109.660004</td>\n",
       "      <td>320236.126656</td>\n",
       "      <td>1.255646e+07</td>\n",
       "      <td>55.656506</td>\n",
       "      <td>57677.728967</td>\n",
       "      <td>3.508198e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>None</td>\n",
       "      <td>2020-11-09</td>\n",
       "      <td>2021-02-25</td>\n",
       "      <td>120.500000</td>\n",
       "      <td>124.680000</td>\n",
       "      <td>290845.898724</td>\n",
       "      <td>1.215736e+06</td>\n",
       "      <td>3.468880</td>\n",
       "      <td>71309.597538</td>\n",
       "      <td>3.622640e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>None</td>\n",
       "      <td>2021-04-12</td>\n",
       "      <td>2021-05-14</td>\n",
       "      <td>132.520004</td>\n",
       "      <td>126.250000</td>\n",
       "      <td>273092.459208</td>\n",
       "      <td>-1.712291e+06</td>\n",
       "      <td>-4.731364</td>\n",
       "      <td>70668.136836</td>\n",
       "      <td>3.444345e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>None</td>\n",
       "      <td>2021-06-17</td>\n",
       "      <td>2021-09-29</td>\n",
       "      <td>129.800003</td>\n",
       "      <td>142.470001</td>\n",
       "      <td>265092.721164</td>\n",
       "      <td>3.358724e+06</td>\n",
       "      <td>9.761169</td>\n",
       "      <td>72176.796324</td>\n",
       "      <td>3.772999e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>None</td>\n",
       "      <td>2021-10-22</td>\n",
       "      <td>2022-01-26</td>\n",
       "      <td>149.690002</td>\n",
       "      <td>163.500000</td>\n",
       "      <td>251802.389154</td>\n",
       "      <td>3.477390e+06</td>\n",
       "      <td>9.225731</td>\n",
       "      <td>78861.990874</td>\n",
       "      <td>4.112852e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>None</td>\n",
       "      <td>2022-02-02</td>\n",
       "      <td>2022-02-24</td>\n",
       "      <td>174.750000</td>\n",
       "      <td>152.580002</td>\n",
       "      <td>235121.221760</td>\n",
       "      <td>-5.212637e+06</td>\n",
       "      <td>-12.686694</td>\n",
       "      <td>76962.229949</td>\n",
       "      <td>3.583892e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>None</td>\n",
       "      <td>2022-03-28</td>\n",
       "      <td>2022-04-25</td>\n",
       "      <td>172.169998</td>\n",
       "      <td>161.119995</td>\n",
       "      <td>207952.134010</td>\n",
       "      <td>-2.297872e+06</td>\n",
       "      <td>-6.418077</td>\n",
       "      <td>69308.365348</td>\n",
       "      <td>3.347174e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>None</td>\n",
       "      <td>2022-07-20</td>\n",
       "      <td>2022-09-15</td>\n",
       "      <td>151.119995</td>\n",
       "      <td>154.649994</td>\n",
       "      <td>221269.880536</td>\n",
       "      <td>7.810824e+05</td>\n",
       "      <td>2.335891</td>\n",
       "      <td>67657.688941</td>\n",
       "      <td>3.418517e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>None</td>\n",
       "      <td>2022-11-25</td>\n",
       "      <td>2022-11-29</td>\n",
       "      <td>148.309998</td>\n",
       "      <td>144.289993</td>\n",
       "      <td>230267.789330</td>\n",
       "      <td>-9.256775e+05</td>\n",
       "      <td>-2.710542</td>\n",
       "      <td>67376.353050</td>\n",
       "      <td>3.319211e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>None</td>\n",
       "      <td>2023-01-30</td>\n",
       "      <td>2023-08-11</td>\n",
       "      <td>144.960007</td>\n",
       "      <td>177.320007</td>\n",
       "      <td>228745.529453</td>\n",
       "      <td>7.402205e+06</td>\n",
       "      <td>22.323399</td>\n",
       "      <td>73720.112443</td>\n",
       "      <td>4.052060e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   symbol  open_date close_date  open_price  close_price  position_size  \\\n",
       "0    None 2006-01-03 2006-01-04    2.585000     2.683214  386460.728920   \n",
       "1    None 2006-01-05 2006-01-06    2.672500     2.687500  387234.805420   \n",
       "2    None 2006-01-09 2006-02-01    2.740357     2.676786  379006.918186   \n",
       "3    None 2006-04-28 2006-05-19    2.477857     2.259286  408616.531180   \n",
       "4    None 2006-07-31 2007-02-05    2.386786     3.010714  386015.782682   \n",
       "5    None 2007-02-23 2007-03-01    3.184286     3.001071  364245.251516   \n",
       "6    None 2007-03-02 2007-03-05    3.098929     3.067500  352038.336516   \n",
       "7    None 2007-03-07 2007-08-17    3.144643     4.357500  342716.173652   \n",
       "8    None 2007-08-27 2008-01-16    4.763929     5.901071  312851.429872   \n",
       "9    None 2008-04-01 2008-07-01    5.225000     5.865357  352625.823493   \n",
       "10   None 2008-08-18 2008-09-05    6.270357     5.663929  329190.802231   \n",
       "11   None 2009-02-09 2009-02-27    3.571429     3.140357  521020.582459   \n",
       "12   None 2009-03-18 2010-02-02    3.568214     6.996786  457629.939750   \n",
       "13   None 2010-03-02 2010-07-19    7.497500     8.924286  426214.251906   \n",
       "14   None 2010-07-27 2010-08-16    9.316786     8.842143  407442.887959   \n",
       "15   None 2010-09-10 2011-03-21    9.399643    11.999643  382511.355637   \n",
       "16   None 2011-03-29 2011-04-06   12.416429    12.186429  368932.900675   \n",
       "17   None 2011-04-28 2011-05-18   12.363929    12.016786  362909.857926   \n",
       "18   None 2011-07-07 2011-11-16   12.666786    13.901786  343599.125260   \n",
       "19   None 2011-12-23 2012-05-15   14.274643    20.051786  333955.653896   \n",
       "20   None 2012-06-18 2012-10-12   20.391430    22.484285  327737.095610   \n",
       "21   None 2013-05-09 2013-06-17   16.421785    15.408571  447832.624442   \n",
       "22   None 2013-07-26 2014-01-29   15.546429    17.998215  442974.647470   \n",
       "23   None 2014-03-26 2014-04-10   19.518572    18.952856  407653.966951   \n",
       "24   None 2014-04-25 2014-10-17   20.161785    24.375000  382444.805083   \n",
       "25   None 2014-10-22 2015-01-07   25.709999    26.799999  361861.800720   \n",
       "26   None 2015-01-27 2015-01-28   28.105000    29.407499  344370.031144   \n",
       "27   None 2015-01-29 2015-06-22   29.080000    31.872499  347552.530670   \n",
       "28   None 2015-07-22 2015-07-24   30.497499    31.330000  362496.448518   \n",
       "29   None 2015-10-27 2015-12-15   28.850000    27.985001  392870.787469   \n",
       "30   None 2016-03-11 2016-04-29   25.559999    23.497499  429284.915686   \n",
       "31   None 2016-07-19 2016-11-10   24.889999    27.772499  404458.346077   \n",
       "32   None 2016-12-14 2017-06-20   28.760000    36.717499  389790.534145   \n",
       "33   None 2017-07-20 2017-09-26   37.875000    37.945000  377123.109978   \n",
       "34   None 2017-10-18 2018-02-01   40.105000    41.792500  356098.869835   \n",
       "35   None 2018-02-27 2018-03-29   44.775002    41.952499  331714.719363   \n",
       "36   None 2018-04-17 2018-04-24   44.122501    41.417500  314770.387239   \n",
       "37   None 2018-05-07 2018-10-31   46.294998    54.220001  281044.495673   \n",
       "38   None 2018-11-02 2018-11-05   52.387501    51.075001  290294.185774   \n",
       "39   None 2019-02-11 2019-05-21   42.762501    46.305000  346031.021766   \n",
       "40   None 2019-06-19 2020-03-02   49.919998    70.570000  320331.595269   \n",
       "41   None 2020-04-27 2020-11-03   70.449997   109.660004  320236.126656   \n",
       "42   None 2020-11-09 2021-02-25  120.500000   124.680000  290845.898724   \n",
       "43   None 2021-04-12 2021-05-14  132.520004   126.250000  273092.459208   \n",
       "44   None 2021-06-17 2021-09-29  129.800003   142.470001  265092.721164   \n",
       "45   None 2021-10-22 2022-01-26  149.690002   163.500000  251802.389154   \n",
       "46   None 2022-02-02 2022-02-24  174.750000   152.580002  235121.221760   \n",
       "47   None 2022-03-28 2022-04-25  172.169998   161.119995  207952.134010   \n",
       "48   None 2022-07-20 2022-09-15  151.119995   154.649994  221269.880536   \n",
       "49   None 2022-11-25 2022-11-29  148.309998   144.289993  230267.789330   \n",
       "50   None 2023-01-30 2023-08-11  144.960007   177.320007  228745.529453   \n",
       "\n",
       "     profit_loss  change_pct  trade_commission  cumulative_return  \n",
       "0   3.795582e+04    3.799378       2035.957818       1.035920e+06  \n",
       "1   5.808563e+03    0.561276       2075.578516       1.039653e+06  \n",
       "2  -2.409384e+04   -2.319806       2053.134624       1.013506e+06  \n",
       "3  -8.931180e+04   -8.820976       1935.674957       9.222584e+05  \n",
       "4   2.408461e+05   26.140931       2083.520202       1.161021e+06  \n",
       "5  -6.673525e+04   -5.753727       2252.986950       1.092033e+06  \n",
       "6  -1.106415e+04   -1.014183       2170.819422       1.078798e+06  \n",
       "7   4.156657e+05   38.568988       2571.105793       1.491892e+06  \n",
       "8   3.557566e+05   23.869840       3336.560488       1.844312e+06  \n",
       "9   2.258064e+05   12.255637       3910.746209       2.066208e+06  \n",
       "10 -1.996306e+05   -9.671349       3928.657221       1.862649e+06  \n",
       "11 -2.245974e+05  -12.070014       3496.978668       1.634554e+06  \n",
       "12  1.569017e+06   96.086508       4834.860340       3.198737e+06  \n",
       "13  6.081165e+05   19.030156       6999.199163       3.799854e+06  \n",
       "14 -1.933898e+05   -5.094490       7398.726421       3.599066e+06  \n",
       "15  9.945297e+05   27.660629       8185.470001       4.585410e+06  \n",
       "16 -8.485440e+04   -1.852381       9076.803615       4.491479e+06  \n",
       "17 -1.259817e+05   -2.807709       8848.001605       4.356649e+06  \n",
       "18  4.243448e+05    9.749905       9128.938114       4.771865e+06  \n",
       "19  1.929310e+06   40.471369      11463.505165       6.689711e+06  \n",
       "20  6.859064e+05   10.263407      14051.962390       7.361565e+06  \n",
       "21 -4.537503e+05   -6.169939      14254.672132       6.893560e+06  \n",
       "22  1.086079e+06   15.770735      14859.426586       7.964780e+06  \n",
       "23 -2.306163e+05   -2.898346      15683.030205       7.718481e+06  \n",
       "24  1.611322e+06   20.897033      17032.862106       9.312770e+06  \n",
       "25  3.944294e+05    4.239596      19001.362548       9.688198e+06  \n",
       "26  4.485419e+05    4.634406      19805.581022       1.011693e+07  \n",
       "27  9.705403e+05    9.602818      21184.195414       1.106629e+07  \n",
       "28  3.017785e+05    2.729733      22412.248950       1.134566e+07  \n",
       "29 -3.398331e+05   -2.998266      22328.811595       1.098349e+07  \n",
       "30 -8.854001e+05   -8.069249      21059.644293       1.007703e+07  \n",
       "31  1.165851e+06   11.580955      21299.787033       1.122159e+07  \n",
       "32  3.101758e+06   27.668632      25522.509313       1.429782e+07  \n",
       "33  2.639850e+04    0.184818      28593.474083       1.429563e+07  \n",
       "34  6.009168e+05    4.207705      29163.606866       1.486738e+07  \n",
       "35 -9.362655e+05   -6.303745      28768.788627       1.390235e+07  \n",
       "36 -8.514545e+05   -6.130663      26925.459213       1.302397e+07  \n",
       "37  2.227278e+06   17.118487      28249.187311       1.522299e+07  \n",
       "38 -3.810111e+05   -2.505369      30034.562639       1.481195e+07  \n",
       "39  1.225815e+06    8.284126      30820.118401       1.600694e+07  \n",
       "40  6.614848e+06   41.366190      38596.753230       2.258319e+07  \n",
       "41  1.255646e+07   55.656506      57677.728967       3.508198e+07  \n",
       "42  1.215736e+06    3.468880      71309.597538       3.622640e+07  \n",
       "43 -1.712291e+06   -4.731364      70668.136836       3.444345e+07  \n",
       "44  3.358724e+06    9.761169      72176.796324       3.772999e+07  \n",
       "45  3.477390e+06    9.225731      78861.990874       4.112852e+07  \n",
       "46 -5.212637e+06  -12.686694      76962.229949       3.583892e+07  \n",
       "47 -2.297872e+06   -6.418077      69308.365348       3.347174e+07  \n",
       "48  7.810824e+05    2.335891      67657.688941       3.418517e+07  \n",
       "49 -9.256775e+05   -2.710542      67376.353050       3.319211e+07  \n",
       "50  7.402205e+06   22.323399      73720.112443       4.052060e+07  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trades = pd.DataFrame(result.trades)\n",
    "trades"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>symbol</th>\n",
       "      <th>open_date</th>\n",
       "      <th>last_date</th>\n",
       "      <th>open_price</th>\n",
       "      <th>last_price</th>\n",
       "      <th>position_size</th>\n",
       "      <th>profit_loss</th>\n",
       "      <th>change_pct</th>\n",
       "      <th>current_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>None</td>\n",
       "      <td>2023-11-09</td>\n",
       "      <td>2023-12-29</td>\n",
       "      <td>182.960007</td>\n",
       "      <td>192.529999</td>\n",
       "      <td>221251.181656</td>\n",
       "      <td>2.117372e+06</td>\n",
       "      <td>5.230647</td>\n",
       "      <td>4.259749e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  symbol  open_date  last_date  open_price  last_price  position_size  \\\n",
       "0   None 2023-11-09 2023-12-29  182.960007  192.529999  221251.181656   \n",
       "\n",
       "    profit_loss  change_pct  current_value  \n",
       "0  2.117372e+06    5.230647   4.259749e+07  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "open_positions = pd.DataFrame(result.open_positions)\n",
    "open_positions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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