scratch_agent.ipynb

{
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   "id": "initial_id",
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    "ExecuteTime": {
     "end_time": "2023-11-12T22:52:39.299342600Z",
     "start_time": "2023-11-12T22:52:29.824946800Z"
    }
   },
   "outputs": [],
   "source": [
    "import random\n",
    "\n",
    "from finrl.meta.env_portfolio_allocation import env_portfolio\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import gym\n",
    "from typing import Callable, Tuple\n",
    "from collections import defaultdict\n",
    "from tqdm import trange\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [],
   "source": [
    "def generate_episode(env: gym.Env, policy: Callable, es: bool = False):\n",
    "    \"\"\"A function to generate one episode and collect the sequence of (s, a, r) tuples\n",
    "\n",
    "    This function will be useful for implementing the MC methods\n",
    "\n",
    "    Args:\n",
    "        env (gym.Env): a Gym API compatible environment\n",
    "        policy (Callable): A function that represents the policy.\n",
    "        es (bool): Whether to use exploring starts or not\n",
    "    \"\"\"\n",
    "    episode = []\n",
    "    state = env.reset()\n",
    "    while True:\n",
    "        if es and len(episode) == 0:\n",
    "            action = env.action_space.sample()\n",
    "        else:\n",
    "            action = policy(state)\n",
    "\n",
    "        next_state, reward, done, _ = env.step(action)\n",
    "        episode.append((state, action, reward))\n",
    "        if done:\n",
    "            break\n",
    "        state = next_state\n",
    "\n",
    "    return episode\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-12T22:52:39.313927800Z",
     "start_time": "2023-11-12T22:52:39.302347300Z"
    }
   },
   "id": "e145df452125bc37"
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\wacho\\Programming\\RL_Finance\\venv\\lib\\site-packages\\pyfolio\\pos.py:26: UserWarning: Module \"zipline.assets\" not found; mutltipliers will not be applied to position notionals.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['AXP', 'AMGN', 'AAPL', 'BA', 'CAT', 'CSCO', 'CVX', 'GS', 'HD', 'HON', 'IBM', 'INTC', 'JNJ', 'KO', 'JPM', 'MCD', 'MMM', 'MRK', 'MSFT', 'NKE', 'PG', 'TRV', 'UNH', 'CRM', 'VZ', 'V', 'WBA', 'WMT', 'DIS', 'DOW']\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "[*********************100%%**********************]  1 of 1 completed\n",
      "Shape of DataFrame:  (101615, 8)\n"
     ]
    },
    {
     "data": {
      "text/plain": "(101615, 8)"
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "############STUFF GRABBED FROM FINRL TUTORIAL\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "matplotlib.use('Agg')\n",
    "%matplotlib inline\n",
    "import datetime\n",
    "\n",
    "from finrl import config\n",
    "from finrl import config_tickers\n",
    "from finrl.meta.preprocessor.yahoodownloader import YahooDownloader\n",
    "from finrl.meta.preprocessor.preprocessors import FeatureEngineer, data_split\n",
    "from finrl.meta.env_portfolio_allocation.env_portfolio import StockPortfolioEnv\n",
    "from finrl.agents.stablebaselines3.models import DRLAgent\n",
    "from finrl.plot import backtest_stats, backtest_plot, get_daily_return, get_baseline, convert_daily_return_to_pyfolio_ts\n",
    "from finrl.meta.data_processor import DataProcessor\n",
    "from finrl.meta.data_processors.processor_yahoofinance import YahooFinanceProcessor\n",
    "import sys\n",
    "\n",
    "## 2.4. Create Folders\n",
    "import os\n",
    "\n",
    "if not os.path.exists(\"./\" + config.DATA_SAVE_DIR):\n",
    "    os.makedirs(\"./\" + config.DATA_SAVE_DIR)\n",
    "if not os.path.exists(\"./\" + config.TRAINED_MODEL_DIR):\n",
    "    os.makedirs(\"./\" + config.TRAINED_MODEL_DIR)\n",
    "if not os.path.exists(\"./\" + config.TENSORBOARD_LOG_DIR):\n",
    "    os.makedirs(\"./\" + config.TENSORBOARD_LOG_DIR)\n",
    "if not os.path.exists(\"./\" + config.RESULTS_DIR):\n",
    "    os.makedirs(\"./\" + config.RESULTS_DIR)\n",
    "\n",
    "print(config_tickers.DOW_30_TICKER)\n",
    "#dp = YahooFinanceProcessor()\n",
    "#df = dp.download_data\n",
    "\n",
    "df = YahooDownloader(start_date='2008-01-01',\n",
    "                     end_date='2021-10-31',\n",
    "                     ticker_list=config_tickers.DOW_30_TICKER).fetch_data()\n",
    "\n",
    "df.head()\n",
    "df.shape\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-12T22:52:55.593308900Z",
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   "id": "fa1e3d58f36f10e4"
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Successfully added technical indicators\n"
     ]
    },
    {
     "data": {
      "text/plain": "             date       open       high        low      close      volume  \\\n0      2008-01-02   7.116786   7.152143   6.876786   5.898639  1079178800   \n3483   2008-01-02  46.599998  47.040001  46.259998  34.026871     7934400   \n6966   2008-01-02  52.090000  52.320000  50.790001  39.587994     8053700   \n10449  2008-01-02  87.570000  87.839996  86.000000  63.481594     4303000   \n13932  2008-01-02  72.559998  72.669998  70.050003  45.605484     6337800   \n\n        tic  day  macd   boll_ub   boll_lb  rsi_30     cci_30  dx_30  \\\n0      AAPL    2   0.0  5.903859  5.896146   100.0 -66.666667  100.0   \n3483   AMGN    2   0.0  5.903859  5.896146   100.0 -66.666667  100.0   \n6966    AXP    2   0.0  5.903859  5.896146   100.0 -66.666667  100.0   \n10449    BA    2   0.0  5.903859  5.896146   100.0 -66.666667  100.0   \n13932   CAT    2   0.0  5.903859  5.896146   100.0 -66.666667  100.0   \n\n       close_30_sma  close_60_sma  \n0          5.898639      5.898639  \n3483      34.026871     34.026871  \n6966      39.587994     39.587994  \n10449     63.481594     63.481594  \n13932     45.605484     45.605484  ",
      "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>date</th>\n      <th>open</th>\n      <th>high</th>\n      <th>low</th>\n      <th>close</th>\n      <th>volume</th>\n      <th>tic</th>\n      <th>day</th>\n      <th>macd</th>\n      <th>boll_ub</th>\n      <th>boll_lb</th>\n      <th>rsi_30</th>\n      <th>cci_30</th>\n      <th>dx_30</th>\n      <th>close_30_sma</th>\n      <th>close_60_sma</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2008-01-02</td>\n      <td>7.116786</td>\n      <td>7.152143</td>\n      <td>6.876786</td>\n      <td>5.898639</td>\n      <td>1079178800</td>\n      <td>AAPL</td>\n      <td>2</td>\n      <td>0.0</td>\n      <td>5.903859</td>\n      <td>5.896146</td>\n      <td>100.0</td>\n      <td>-66.666667</td>\n      <td>100.0</td>\n      <td>5.898639</td>\n      <td>5.898639</td>\n    </tr>\n    <tr>\n      <th>3483</th>\n      <td>2008-01-02</td>\n      <td>46.599998</td>\n      <td>47.040001</td>\n      <td>46.259998</td>\n      <td>34.026871</td>\n      <td>7934400</td>\n      <td>AMGN</td>\n      <td>2</td>\n      <td>0.0</td>\n      <td>5.903859</td>\n      <td>5.896146</td>\n      <td>100.0</td>\n      <td>-66.666667</td>\n      <td>100.0</td>\n      <td>34.026871</td>\n      <td>34.026871</td>\n    </tr>\n    <tr>\n      <th>6966</th>\n      <td>2008-01-02</td>\n      <td>52.090000</td>\n      <td>52.320000</td>\n      <td>50.790001</td>\n      <td>39.587994</td>\n      <td>8053700</td>\n      <td>AXP</td>\n      <td>2</td>\n      <td>0.0</td>\n      <td>5.903859</td>\n      <td>5.896146</td>\n      <td>100.0</td>\n      <td>-66.666667</td>\n      <td>100.0</td>\n      <td>39.587994</td>\n      <td>39.587994</td>\n    </tr>\n    <tr>\n      <th>10449</th>\n      <td>2008-01-02</td>\n      <td>87.570000</td>\n      <td>87.839996</td>\n      <td>86.000000</td>\n      <td>63.481594</td>\n      <td>4303000</td>\n      <td>BA</td>\n      <td>2</td>\n      <td>0.0</td>\n      <td>5.903859</td>\n      <td>5.896146</td>\n      <td>100.0</td>\n      <td>-66.666667</td>\n      <td>100.0</td>\n      <td>63.481594</td>\n      <td>63.481594</td>\n    </tr>\n    <tr>\n      <th>13932</th>\n      <td>2008-01-02</td>\n      <td>72.559998</td>\n      <td>72.669998</td>\n      <td>70.050003</td>\n      <td>45.605484</td>\n      <td>6337800</td>\n      <td>CAT</td>\n      <td>2</td>\n      <td>0.0</td>\n      <td>5.903859</td>\n      <td>5.896146</td>\n      <td>100.0</td>\n      <td>-66.666667</td>\n      <td>100.0</td>\n      <td>45.605484</td>\n      <td>45.605484</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fe = FeatureEngineer(\n",
    "    use_technical_indicator=True,\n",
    "    use_turbulence=False,\n",
    "    user_defined_feature=False)\n",
    "\n",
    "df = fe.preprocess_data(df)\n",
    "df.shape\n",
    "df.head()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-12T22:53:19.129790800Z",
     "start_time": "2023-11-12T22:52:55.593308900Z"
    }
   },
   "id": "5f03e9d7673ba9fb"
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "data": {
      "text/plain": "             date        open        high         low       close    volume  \\\n83591  2021-10-29  162.130005  162.440002  160.660004  153.936371   1314100   \n87074  2021-10-29  454.410004  461.390015  453.059998  447.971069   2497800   \n90557  2021-10-29   52.500000   53.049999   52.410000   46.802307  17763200   \n94040  2021-10-29   46.860001   47.279999   46.770000   42.506401   4999000   \n97523  2021-10-29  147.910004  150.100006  147.559998  144.852417   7340900   \n\n       tic  day       macd     boll_ub     boll_lb     rsi_30      cci_30  \\\n83591  TRV    4   1.424915  156.635660  144.752571  55.691958  130.838115   \n87074  UNH    4  12.812439  459.914485  366.732085  67.009690  145.348191   \n90557   VZ    4  -0.170569   48.086328   45.189775  46.685006  -39.966409   \n94040  WBA    4  -0.173835   45.248869   41.483368  45.913424  -97.341088   \n97523  WMT    4   1.795642  147.887255  129.205267  59.710691  130.750304   \n\n           dx_30  close_30_sma  close_60_sma  \n83591  19.622993    149.630907    150.155363  \n87074  52.064871    406.440814    405.562350  \n90557  12.569826     46.875141     47.474614  \n94040   0.268701     43.394445     43.904503  \n97523  35.423702    138.057022    140.642311  ",
      "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>date</th>\n      <th>open</th>\n      <th>high</th>\n      <th>low</th>\n      <th>close</th>\n      <th>volume</th>\n      <th>tic</th>\n      <th>day</th>\n      <th>macd</th>\n      <th>boll_ub</th>\n      <th>boll_lb</th>\n      <th>rsi_30</th>\n      <th>cci_30</th>\n      <th>dx_30</th>\n      <th>close_30_sma</th>\n      <th>close_60_sma</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>83591</th>\n      <td>2021-10-29</td>\n      <td>162.130005</td>\n      <td>162.440002</td>\n      <td>160.660004</td>\n      <td>153.936371</td>\n      <td>1314100</td>\n      <td>TRV</td>\n      <td>4</td>\n      <td>1.424915</td>\n      <td>156.635660</td>\n      <td>144.752571</td>\n      <td>55.691958</td>\n      <td>130.838115</td>\n      <td>19.622993</td>\n      <td>149.630907</td>\n      <td>150.155363</td>\n    </tr>\n    <tr>\n      <th>87074</th>\n      <td>2021-10-29</td>\n      <td>454.410004</td>\n      <td>461.390015</td>\n      <td>453.059998</td>\n      <td>447.971069</td>\n      <td>2497800</td>\n      <td>UNH</td>\n      <td>4</td>\n      <td>12.812439</td>\n      <td>459.914485</td>\n      <td>366.732085</td>\n      <td>67.009690</td>\n      <td>145.348191</td>\n      <td>52.064871</td>\n      <td>406.440814</td>\n      <td>405.562350</td>\n    </tr>\n    <tr>\n      <th>90557</th>\n      <td>2021-10-29</td>\n      <td>52.500000</td>\n      <td>53.049999</td>\n      <td>52.410000</td>\n      <td>46.802307</td>\n      <td>17763200</td>\n      <td>VZ</td>\n      <td>4</td>\n      <td>-0.170569</td>\n      <td>48.086328</td>\n      <td>45.189775</td>\n      <td>46.685006</td>\n      <td>-39.966409</td>\n      <td>12.569826</td>\n      <td>46.875141</td>\n      <td>47.474614</td>\n    </tr>\n    <tr>\n      <th>94040</th>\n      <td>2021-10-29</td>\n      <td>46.860001</td>\n      <td>47.279999</td>\n      <td>46.770000</td>\n      <td>42.506401</td>\n      <td>4999000</td>\n      <td>WBA</td>\n      <td>4</td>\n      <td>-0.173835</td>\n      <td>45.248869</td>\n      <td>41.483368</td>\n      <td>45.913424</td>\n      <td>-97.341088</td>\n      <td>0.268701</td>\n      <td>43.394445</td>\n      <td>43.904503</td>\n    </tr>\n    <tr>\n      <th>97523</th>\n      <td>2021-10-29</td>\n      <td>147.910004</td>\n      <td>150.100006</td>\n      <td>147.559998</td>\n      <td>144.852417</td>\n      <td>7340900</td>\n      <td>WMT</td>\n      <td>4</td>\n      <td>1.795642</td>\n      <td>147.887255</td>\n      <td>129.205267</td>\n      <td>59.710691</td>\n      <td>130.750304</td>\n      <td>35.423702</td>\n      <td>138.057022</td>\n      <td>140.642311</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-12T22:53:19.235631100Z",
     "start_time": "2023-11-12T22:53:19.131790800Z"
    }
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   "id": "b5b90953f0e37bb"
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "data": {
      "text/plain": "         date       open       high        low      close     volume   tic  \\\n0  2008-12-31   3.070357   3.133571   3.047857   2.583909  607541200  AAPL   \n1  2008-12-31  57.110001  58.220001  57.060001  42.168476    6287200  AMGN   \n2  2008-12-31  17.969999  18.750000  17.910000  14.580748    9625600   AXP   \n3  2008-12-31  41.590000  43.049999  41.500000  32.005886    5443100    BA   \n4  2008-12-31  43.700001  45.099998  43.700001  29.608643    6277400   CAT   \n\n   day      macd    boll_ub    boll_lb     rsi_30      cci_30      dx_30  \\\n0    2 -0.082603   3.093651   2.454292  42.254773  -80.462582  16.129793   \n1    2  0.157987  43.042823  41.174410  51.060584   51.533027  10.432018   \n2    2 -0.935583  18.646870  12.660472  42.554845  -75.437701  25.776759   \n3    2 -0.279801  32.174382  28.867833  47.440230  156.994632   5.366299   \n4    2  0.655610  30.348082  25.455649  51.205290   98.374086  26.331746   \n\n   close_30_sma  close_60_sma  \\\n0      2.749560      2.861671   \n1     41.380861     40.923031   \n2     15.744064     17.616374   \n3     30.327212     32.389914   \n4     26.689548     26.423591   \n\n                                            cov_list  \\\n0  [[0.0013489683474773992, 0.0004284121577427252...   \n1  [[0.0013489683474773992, 0.0004284121577427252...   \n2  [[0.0013489683474773992, 0.0004284121577427252...   \n3  [[0.0013489683474773992, 0.0004284121577427252...   \n4  [[0.0013489683474773992, 0.0004284121577427252...   \n\n                                         return_list  \n0  tic             AAPL      AMGN       AXP      ...  \n1  tic             AAPL      AMGN       AXP      ...  \n2  tic             AAPL      AMGN       AXP      ...  \n3  tic             AAPL      AMGN       AXP      ...  \n4  tic             AAPL      AMGN       AXP      ...  ",
      "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>date</th>\n      <th>open</th>\n      <th>high</th>\n      <th>low</th>\n      <th>close</th>\n      <th>volume</th>\n      <th>tic</th>\n      <th>day</th>\n      <th>macd</th>\n      <th>boll_ub</th>\n      <th>boll_lb</th>\n      <th>rsi_30</th>\n      <th>cci_30</th>\n      <th>dx_30</th>\n      <th>close_30_sma</th>\n      <th>close_60_sma</th>\n      <th>cov_list</th>\n      <th>return_list</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2008-12-31</td>\n      <td>3.070357</td>\n      <td>3.133571</td>\n      <td>3.047857</td>\n      <td>2.583909</td>\n      <td>607541200</td>\n      <td>AAPL</td>\n      <td>2</td>\n      <td>-0.082603</td>\n      <td>3.093651</td>\n      <td>2.454292</td>\n      <td>42.254773</td>\n      <td>-80.462582</td>\n      <td>16.129793</td>\n      <td>2.749560</td>\n      <td>2.861671</td>\n      <td>[[0.0013489683474773992, 0.0004284121577427252...</td>\n      <td>tic             AAPL      AMGN       AXP      ...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2008-12-31</td>\n      <td>57.110001</td>\n      <td>58.220001</td>\n      <td>57.060001</td>\n      <td>42.168476</td>\n      <td>6287200</td>\n      <td>AMGN</td>\n      <td>2</td>\n      <td>0.157987</td>\n      <td>43.042823</td>\n      <td>41.174410</td>\n      <td>51.060584</td>\n      <td>51.533027</td>\n      <td>10.432018</td>\n      <td>41.380861</td>\n      <td>40.923031</td>\n      <td>[[0.0013489683474773992, 0.0004284121577427252...</td>\n      <td>tic             AAPL      AMGN       AXP      ...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2008-12-31</td>\n      <td>17.969999</td>\n      <td>18.750000</td>\n      <td>17.910000</td>\n      <td>14.580748</td>\n      <td>9625600</td>\n      <td>AXP</td>\n      <td>2</td>\n      <td>-0.935583</td>\n      <td>18.646870</td>\n      <td>12.660472</td>\n      <td>42.554845</td>\n      <td>-75.437701</td>\n      <td>25.776759</td>\n      <td>15.744064</td>\n      <td>17.616374</td>\n      <td>[[0.0013489683474773992, 0.0004284121577427252...</td>\n      <td>tic             AAPL      AMGN       AXP      ...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2008-12-31</td>\n      <td>41.590000</td>\n      <td>43.049999</td>\n      <td>41.500000</td>\n      <td>32.005886</td>\n      <td>5443100</td>\n      <td>BA</td>\n      <td>2</td>\n      <td>-0.279801</td>\n      <td>32.174382</td>\n      <td>28.867833</td>\n      <td>47.440230</td>\n      <td>156.994632</td>\n      <td>5.366299</td>\n      <td>30.327212</td>\n      <td>32.389914</td>\n      <td>[[0.0013489683474773992, 0.0004284121577427252...</td>\n      <td>tic             AAPL      AMGN       AXP      ...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2008-12-31</td>\n      <td>43.700001</td>\n      <td>45.099998</td>\n      <td>43.700001</td>\n      <td>29.608643</td>\n      <td>6277400</td>\n      <td>CAT</td>\n      <td>2</td>\n      <td>0.655610</td>\n      <td>30.348082</td>\n      <td>25.455649</td>\n      <td>51.205290</td>\n      <td>98.374086</td>\n      <td>26.331746</td>\n      <td>26.689548</td>\n      <td>26.423591</td>\n      <td>[[0.0013489683474773992, 0.0004284121577427252...</td>\n      <td>tic             AAPL      AMGN       AXP      ...</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "## Add covariance matrix as states\n",
    "# add covariance matrix as states\n",
    "df = df.sort_values(['date', 'tic'], ignore_index=True)\n",
    "df.index = df.date.factorize()[0]\n",
    "\n",
    "cov_list = []\n",
    "return_list = []\n",
    "\n",
    "# look back is one year\n",
    "lookback = 252\n",
    "for i in range(lookback, len(df.index.unique())):\n",
    "    data_lookback = df.loc[i - lookback:i, :]\n",
    "    price_lookback = data_lookback.pivot_table(index='date', columns='tic', values='close')\n",
    "    return_lookback = price_lookback.pct_change().dropna()\n",
    "    return_list.append(return_lookback)\n",
    "\n",
    "    covs = return_lookback.cov().values\n",
    "    cov_list.append(covs)\n",
    "\n",
    "df_cov = pd.DataFrame({'date': df.date.unique()[lookback:], 'cov_list': cov_list, 'return_list': return_list})\n",
    "df = df.merge(df_cov, on='date')\n",
    "df = df.sort_values(['date', 'tic']).reset_index(drop=True)\n",
    "\n",
    "df.shape\n",
    "df.head()\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-12T22:53:51.842853300Z",
     "start_time": "2023-11-12T22:53:19.168862300Z"
    }
   },
   "id": "71443e3dcfcc97c9"
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [
    {
     "data": {
      "text/plain": "         date       open       high        low      close     volume   tic  \\\n0  2009-01-02   3.067143   3.251429   3.041429   2.747391  746015200  AAPL   \n0  2009-01-02  58.590000  59.080002  57.750000  43.073925    6547900  AMGN   \n0  2009-01-02  18.570000  19.520000  18.400000  15.193850   10955700   AXP   \n0  2009-01-02  42.799999  45.560001  42.779999  33.941086    7010200    BA   \n0  2009-01-02  44.910000  46.980000  44.709999  31.093397    7117200   CAT   \n\n   day      macd    boll_ub    boll_lb     rsi_30      cci_30      dx_30  \\\n0    4 -0.070153   3.080129   2.452223  45.440203  -32.212819   2.140064   \n0    4  0.233986  43.189560  41.138661  52.756854   92.867180   0.814217   \n0    4 -0.832049  18.463256  12.644437  43.957559  -42.853033  16.335101   \n0    4 -0.002010  32.948622  28.452129  50.822022  272.812515  20.494464   \n0    4  0.833182  30.850182  25.434765  53.661255  129.524719  34.637448   \n\n   close_30_sma  close_60_sma  \\\n0      2.750408      2.862473   \n0     41.445361     41.011871   \n0     15.742754     17.499519   \n0     30.469477     32.344130   \n0     26.926400     26.424172   \n\n                                            cov_list  \\\n0  [[0.0013661501126321339, 0.0004339378272971406...   \n0  [[0.0013661501126321339, 0.0004339378272971406...   \n0  [[0.0013661501126321339, 0.0004339378272971406...   \n0  [[0.0013661501126321339, 0.0004339378272971406...   \n0  [[0.0013661501126321339, 0.0004339378272971406...   \n\n                                         return_list  \n0  tic             AAPL      AMGN       AXP      ...  \n0  tic             AAPL      AMGN       AXP      ...  \n0  tic             AAPL      AMGN       AXP      ...  \n0  tic             AAPL      AMGN       AXP      ...  \n0  tic             AAPL      AMGN       AXP      ...  ",
      "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>date</th>\n      <th>open</th>\n      <th>high</th>\n      <th>low</th>\n      <th>close</th>\n      <th>volume</th>\n      <th>tic</th>\n      <th>day</th>\n      <th>macd</th>\n      <th>boll_ub</th>\n      <th>boll_lb</th>\n      <th>rsi_30</th>\n      <th>cci_30</th>\n      <th>dx_30</th>\n      <th>close_30_sma</th>\n      <th>close_60_sma</th>\n      <th>cov_list</th>\n      <th>return_list</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2009-01-02</td>\n      <td>3.067143</td>\n      <td>3.251429</td>\n      <td>3.041429</td>\n      <td>2.747391</td>\n      <td>746015200</td>\n      <td>AAPL</td>\n      <td>4</td>\n      <td>-0.070153</td>\n      <td>3.080129</td>\n      <td>2.452223</td>\n      <td>45.440203</td>\n      <td>-32.212819</td>\n      <td>2.140064</td>\n      <td>2.750408</td>\n      <td>2.862473</td>\n      <td>[[0.0013661501126321339, 0.0004339378272971406...</td>\n      <td>tic             AAPL      AMGN       AXP      ...</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>2009-01-02</td>\n      <td>58.590000</td>\n      <td>59.080002</td>\n      <td>57.750000</td>\n      <td>43.073925</td>\n      <td>6547900</td>\n      <td>AMGN</td>\n      <td>4</td>\n      <td>0.233986</td>\n      <td>43.189560</td>\n      <td>41.138661</td>\n      <td>52.756854</td>\n      <td>92.867180</td>\n      <td>0.814217</td>\n      <td>41.445361</td>\n      <td>41.011871</td>\n      <td>[[0.0013661501126321339, 0.0004339378272971406...</td>\n      <td>tic             AAPL      AMGN       AXP      ...</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>2009-01-02</td>\n      <td>18.570000</td>\n      <td>19.520000</td>\n      <td>18.400000</td>\n      <td>15.193850</td>\n      <td>10955700</td>\n      <td>AXP</td>\n      <td>4</td>\n      <td>-0.832049</td>\n      <td>18.463256</td>\n      <td>12.644437</td>\n      <td>43.957559</td>\n      <td>-42.853033</td>\n      <td>16.335101</td>\n      <td>15.742754</td>\n      <td>17.499519</td>\n      <td>[[0.0013661501126321339, 0.0004339378272971406...</td>\n      <td>tic             AAPL      AMGN       AXP      ...</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>2009-01-02</td>\n      <td>42.799999</td>\n      <td>45.560001</td>\n      <td>42.779999</td>\n      <td>33.941086</td>\n      <td>7010200</td>\n      <td>BA</td>\n      <td>4</td>\n      <td>-0.002010</td>\n      <td>32.948622</td>\n      <td>28.452129</td>\n      <td>50.822022</td>\n      <td>272.812515</td>\n      <td>20.494464</td>\n      <td>30.469477</td>\n      <td>32.344130</td>\n      <td>[[0.0013661501126321339, 0.0004339378272971406...</td>\n      <td>tic             AAPL      AMGN       AXP      ...</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>2009-01-02</td>\n      <td>44.910000</td>\n      <td>46.980000</td>\n      <td>44.709999</td>\n      <td>31.093397</td>\n      <td>7117200</td>\n      <td>CAT</td>\n      <td>4</td>\n      <td>0.833182</td>\n      <td>30.850182</td>\n      <td>25.434765</td>\n      <td>53.661255</td>\n      <td>129.524719</td>\n      <td>34.637448</td>\n      <td>26.926400</td>\n      <td>26.424172</td>\n      <td>[[0.0013661501126321339, 0.0004339378272971406...</td>\n      <td>tic             AAPL      AMGN       AXP      ...</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Training data split: 2009-01-01 to 2020-07-01\n",
    "train = data_split(df, '2009-01-01', '2020-07-01')\n",
    "#trade = data_split(df, '2020-01-01', config.END_DATE)\n",
    "train.head()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-12T22:53:52.209915400Z",
     "start_time": "2023-11-12T22:53:51.838853Z"
    }
   },
   "id": "83da70d25c48258e"
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stock Dimension: 28, State Space: 28\n"
     ]
    }
   ],
   "source": [
    "stock_dimension = len(train.tic.unique())\n",
    "state_space = stock_dimension\n",
    "print(f\"Stock Dimension: {stock_dimension}, State Space: {state_space}\")\n",
    "\n",
    "env_kwargs = {\n",
    "    \"hmax\": 100, \n",
    "    \"initial_amount\": 1000000, \n",
    "    \"transaction_cost_pct\": 0.001, \n",
    "    \"state_space\": state_space, \n",
    "    \"stock_dim\": stock_dimension, \n",
    "    \"tech_indicator_list\": config.INDICATORS, \n",
    "    \"action_space\": stock_dimension, \n",
    "    \"reward_scaling\": 1e-4\n",
    "    \n",
    "}\n",
    "\n",
    "e_train_gym = StockPortfolioEnv(df = train, **env_kwargs)\n",
    "e_train_gym_two = StockPortfolioEnv(df = train, **env_kwargs)\n",
    "e_train_gym_three = StockPortfolioEnv(df = train, **env_kwargs)\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-12T22:53:52.303592Z",
     "start_time": "2023-11-12T22:53:52.202879900Z"
    }
   },
   "id": "3796b3ffad8bbbfe"
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(28, 18)\n",
      "AAPL\n",
      "[28.322500228881836]\n",
      "AMGN\n",
      "[142.9199981689453]\n",
      "AXP\n",
      "[74.69999694824219]\n",
      "BA\n",
      "[156.0]\n",
      "CAT\n",
      "[96.01000213623047]\n",
      "CRM\n",
      "[70.81999969482422]\n",
      "CSCO\n",
      "[30.079999923706055]\n",
      "CVX\n",
      "[117.7699966430664]\n",
      "DIS\n",
      "[104.61000061035156]\n",
      "GS\n",
      "[240.5]\n",
      "HD\n",
      "[133.1300048828125]\n",
      "HON\n",
      "[111.5634994506836]\n",
      "IBM\n",
      "[159.3881378173828]\n",
      "INTC\n",
      "[35.779998779296875]\n",
      "JNJ\n",
      "[112.69000244140625]\n",
      "JPM\n",
      "[85.36000061035156]\n",
      "KO\n",
      "[42.0]\n",
      "MCD\n",
      "[121.56999969482422]\n",
      "MMM\n",
      "[178.25]\n",
      "MRK\n",
      "[58.625953674316406]\n",
      "MSFT\n",
      "[61.81999969482422]\n",
      "NKE\n",
      "[51.5]\n",
      "PG\n",
      "[84.20999908447266]\n",
      "TRV\n",
      "[119.87000274658203]\n",
      "UNH\n",
      "[158.8300018310547]\n",
      "VZ\n",
      "[51.540000915527344]\n",
      "WBA\n",
      "[85.87999725341797]\n",
      "WMT\n",
      "[70.06999969482422]\n"
     ]
    },
    {
     "data": {
      "text/plain": "<matplotlib.legend.Legend at 0x1d0ea2fadd0>"
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(e_train_gym_three.data.shape)\n",
    "for ticker in e_train_gym_three.data['tic'].unique():\n",
    "    print(ticker)\n",
    "    \n",
    "    print(e_train_gym_three.data[e_train_gym_three.data['tic'] == ticker]['open'].tolist())\n",
    "    plt.plot(e_train_gym_three.df[e_train_gym_three.df['tic'] == ticker]['open'].tolist(), label=ticker)\n",
    "plt.legend(loc='lower left')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-12T23:12:57.003501800Z",
     "start_time": "2023-11-12T23:12:56.068561900Z"
    }
   },
   "id": "45f93cc7f8fed17c"
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [],
   "source": [
    "import random\n",
    "def random_agent(env: StockPortfolioEnv, iter=2000):\n",
    "    env.reset()\n",
    "    for iteration in range(iter):\n",
    "        action = [0] * len(env.action_space.sample())\n",
    "        action[random.randint(0,  len(env.action_space.sample()) - 1)] = 1\n",
    "        state, reward, terminal, _, _ = env.step(action)\n",
    "    return env\n",
    "\n",
    "def argmax_explore_agent(env: StockPortfolioEnv, iter=2000):\n",
    "    env.reset()\n",
    "    \n",
    "    taken_actions = defaultdict(list)\n",
    "    for iteration in range(int(iter/2)):\n",
    "        action = env.action_space.sample()\n",
    "        state, reward, terminal, _, _ = env.step(action)\n",
    "        action = tuple(action)\n",
    "        taken_actions[action] = taken_actions[action] + [reward]\n",
    "    avgs = [np.mean(rewards) for rewards in taken_actions.values()]\n",
    "    action = list(taken_actions.keys())[np.argmax(avgs)]\n",
    "    for iteration in range(int(iter/2)):\n",
    "        state, reward, terminal, _, _ = env.step(action)\n",
    "        taken_actions[action] = taken_actions[action] + [reward]\n",
    "    return env\n",
    "\n",
    "def argmin_explore_agent(env: StockPortfolioEnv, iter=2000):\n",
    "    env.reset()\n",
    "    \n",
    "    taken_actions = defaultdict(list)\n",
    "    for iteration in range(int(iter/2)):\n",
    "        action = env.action_space.sample()\n",
    "        state, reward, terminal, _, _ = env.step(action)\n",
    "        action = tuple(action)\n",
    "        taken_actions[action] = taken_actions[action] + [reward]\n",
    "    avgs = [np.mean(rewards) for rewards in taken_actions.values()]\n",
    "    action = list(taken_actions.keys())[np.argmin(avgs)]\n",
    "    for iteration in range(int(iter/2)):\n",
    "        state, reward, terminal, _, _ = env.step(action)\n",
    "        taken_actions[action] = taken_actions[action] + [reward]\n",
    "    return env\n",
    "    "
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-12T22:54:25.281119200Z",
     "start_time": "2023-11-12T22:54:25.261590800Z"
    }
   },
   "id": "b022eb8cdd89eb32"
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "outputs": [],
   "source": [
    "env_after_training = random_agent(e_train_gym)\n",
    "other_agent_env = argmax_explore_agent(e_train_gym_two)\n",
    "more_env = argmin_explore_agent(e_train_gym_three)\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-12T22:55:00.746605900Z",
     "start_time": "2023-11-12T22:54:48.129379400Z"
    }
   },
   "id": "54919c61764fe536"
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*********************100%%**********************]  1 of 1 completed\n",
      "Shape of DataFrame:  (2893, 8)\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Axes: >"
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "from finrl.plot import get_baseline\n",
    "baseline_df = get_baseline(ticker=\"^DJI\",\n",
    "                          start= '2009-01-01', end='2020-07-01')\n",
    "baseline_df['close'].plot()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-12T22:55:01.169140100Z",
     "start_time": "2023-11-12T22:55:00.750123600Z"
    }
   },
   "id": "6eb9bdd435c4d857"
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "outputs": [
    {
     "data": {
      "text/plain": "<matplotlib.legend.Legend at 0x1d0d7cc22c0>"
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(list(range(len(env_after_training.portfolio_return_memory\n",
    "\n",
    "))), env_after_training.asset_memory, label=\"random\"\n",
    ")\n",
    "plt.plot(list(range(len(other_agent_env.portfolio_return_memory\n",
    "\n",
    "))), other_agent_env.asset_memory, label=\"bad argmax\"\n",
    "\n",
    ")\n",
    "plt.plot(list(range(len(more_env.portfolio_return_memory\n",
    "\n",
    "))), more_env.asset_memory, label=\"bad argmin\"\n",
    "\n",
    ")\n",
    "plt.legend()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-12T22:55:01.384022200Z",
     "start_time": "2023-11-12T22:55:01.171149900Z"
    }
   },
   "id": "1bb16c08caf73622"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   },
   "id": "21f321d6231e5f1d"
  }
 ],
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