stock-market-prediction-using-decision-tree.ipynb

{
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    "tags": []
   },
   "source": [
    "# Stock Market Prediction using Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
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   "source": [
    "# x) Remove redundant ticker symbols after dataframe is loaded?\n",
    "# x) Inferences like vaccine stock spike, boom in AI, EV\n",
    "# x) Combined data from NSE(Indian) and NASDAQ(American) companies\n",
    "# x) Predictions for future or just last 100 days?\n",
    "# x) Error/Accuracy/Precision Calculation\n",
    "# x) Combined data from NSE(Indian) and NASDAQ(American) companies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Importing Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5",
    "execution": {
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    "tags": []
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   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import math\n",
    "import sklearn.metrics\n",
    "\n",
    "from datetime import datetime, timedelta\n",
    "from dateutil import relativedelta\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "# fix_yahoo_finance is used to fetch data \n",
    "import yfinance as yf\n",
    "yf.pdr_override()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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     "exception": false,
     "start_time": "2021-03-01T03:33:12.656492",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        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>Name</th>\n",
       "      <th>Last Sale</th>\n",
       "      <th>Net Change</th>\n",
       "      <th>% Change</th>\n",
       "      <th>Market Cap</th>\n",
       "      <th>Country</th>\n",
       "      <th>IPO Year</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Sector</th>\n",
       "      <th>Industry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AACG</td>\n",
       "      <td>ATA Creativity Global American Depositary Shares</td>\n",
       "      <td>$1.40</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>-3.448%</td>\n",
       "      <td>4.583600e+07</td>\n",
       "      <td>China</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>12942</td>\n",
       "      <td>Consumer Discretionary</td>\n",
       "      <td>Educational Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AACIW</td>\n",
       "      <td>Armada Acquisition Corp. I Warrant</td>\n",
       "      <td>$0.06</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>United States</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>84274</td>\n",
       "      <td>Finance</td>\n",
       "      <td>Blank Checks</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AADI</td>\n",
       "      <td>Aadi Bioscience Inc. Common Stock</td>\n",
       "      <td>$8.19</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.738%</td>\n",
       "      <td>2.001389e+08</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84735</td>\n",
       "      <td>Health Care</td>\n",
       "      <td>Biotechnology: Pharmaceutical Preparations</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AAL</td>\n",
       "      <td>American Airlines Group Inc. Common Stock</td>\n",
       "      <td>$14.93</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.81%</td>\n",
       "      <td>9.703035e+09</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15840018</td>\n",
       "      <td>Consumer Discretionary</td>\n",
       "      <td>Air Freight/Delivery Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AAME</td>\n",
       "      <td>Atlantic American Corporation Common Stock</td>\n",
       "      <td>$2.15</td>\n",
       "      <td>0.05</td>\n",
       "      <td>2.381%</td>\n",
       "      <td>4.378954e+07</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6947</td>\n",
       "      <td>Finance</td>\n",
       "      <td>Life Insurance</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Symbol                                              Name Last Sale  \\\n",
       "0   AACG  ATA Creativity Global American Depositary Shares     $1.40   \n",
       "1  AACIW                Armada Acquisition Corp. I Warrant     $0.06   \n",
       "2   AADI                 Aadi Bioscience Inc. Common Stock     $8.19   \n",
       "3    AAL         American Airlines Group Inc. Common Stock    $14.93   \n",
       "4   AAME        Atlantic American Corporation Common Stock     $2.15   \n",
       "\n",
       "   Net Change % Change    Market Cap        Country  IPO Year    Volume  \\\n",
       "0       -0.05  -3.448%  4.583600e+07          China    2008.0     12942   \n",
       "1        0.00    0.00%  0.000000e+00  United States    2021.0     84274   \n",
       "2        0.06   0.738%  2.001389e+08  United States       NaN     84735   \n",
       "3        0.12    0.81%  9.703035e+09  United States       NaN  15840018   \n",
       "4        0.05   2.381%  4.378954e+07  United States       NaN      6947   \n",
       "\n",
       "                   Sector                                    Industry  \n",
       "0  Consumer Discretionary                        Educational Services  \n",
       "1                 Finance                                Blank Checks  \n",
       "2             Health Care  Biotechnology: Pharmaceutical Preparations  \n",
       "3  Consumer Discretionary               Air Freight/Delivery Services  \n",
       "4                 Finance                              Life Insurance  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"NASDAQ Symbols.csv\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def symbol_search():\n",
    "    print(\"---Portfolio Analyis---\")\n",
    "    key1 = \"y\"\n",
    "    key2 = \"\"\n",
    "    symbols = []\n",
    "    while key1.lower() == \"y\":\n",
    "        search_term = input(\"Enter the company name:\")\n",
    "        if search_term == \"\":\n",
    "            continue\n",
    "        print(\"Companies found with matching string to\", search_term, \"are\")\n",
    "        for index, row in data.iterrows():\n",
    "            string = row[1]\n",
    "            if not(pd.isna(string)) and search_term.lower() in str(string).lower(): # Checking for NA values\n",
    "                flag = 1\n",
    "                print(string)\n",
    "                key2 = input(\"Do you want to add this company? (Y/N)\")\n",
    "                if key2.lower() == \"y\":\n",
    "                    symbols.append(row[0])\n",
    "        if flag != 1:\n",
    "            print(\"No matching companies were found.\")\n",
    "        key1 = input(\"Enter N to exit, Y to continue adding companies\")\n",
    "    return symbols   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---Portfolio Analyis---\n",
      "Companies found with matching string to apple are\n",
      "Apple Inc. Common Stock\n",
      "Pineapple Energy Inc. Common Stock\n",
      "Companies found with matching string to tesla are\n",
      "Tesla Inc. Common Stock\n"
     ]
    }
   ],
   "source": [
    "# input\n",
    "# Portfolio Stocks\n",
    "symbols = symbol_search()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Upload date\n",
    "flag  = 0\n",
    "flag2 = 0\n",
    "while(flag == 0):\n",
    "    start = input(\"Enter the date from which analysis should be started(in yyyy-mm-dd format)\")\n",
    "    end = input(\"Enter the date from which analysis should end (in yyyy-mm-dd format)\")\n",
    "    d1 = datetime.strptime(start, \"%Y-%m-%d\")\n",
    "    d2 = datetime.strptime(end, \"%Y-%m-%d\")\n",
    "    delta = d2-d1\n",
    "    if delta < timedelta(days = 100):\n",
    "        print(\"Dates should be more than 100 days apart\")\n",
    "        continue\n",
    "    else:\n",
    "        flag = 1       \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*********************100%***********************]  1 of 1 completed\n",
      "[*********************100%***********************]  1 of 1 completed\n"
     ]
    }
   ],
   "source": [
    "df2 = pd.DataFrame()\n",
    "for s in symbols:\n",
    "    df2[s] = yf.download(s,start,end)[\"Adj Close\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
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    "tags": []
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AAPL</th>\n",
       "      <th>TSLA</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
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       "    <tr>\n",
       "      <th>2021-12-27</th>\n",
       "      <td>178.768860</td>\n",
       "      <td>364.646667</td>\n",
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       "    <tr>\n",
       "      <th>2021-12-28</th>\n",
       "      <td>177.737839</td>\n",
       "      <td>362.823334</td>\n",
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       "    <tr>\n",
       "      <th>2021-12-29</th>\n",
       "      <td>177.827057</td>\n",
       "      <td>362.063324</td>\n",
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       "    <tr>\n",
       "      <th>2021-12-30</th>\n",
       "      <td>176.657272</td>\n",
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      "text/plain": [
       "                  AAPL        TSLA\n",
       "Date                              \n",
       "2021-12-27  178.768860  364.646667\n",
       "2021-12-28  177.737839  362.823334\n",
       "2021-12-29  177.827057  362.063324\n",
       "2021-12-30  176.657272  356.779999\n",
       "2021-12-31  176.032745  352.260010"
      ]
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     "execution_count": 12,
     "metadata": {},
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    }
   ],
   "source": [
    "df2.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "future_days = 100\n",
    "\n",
    "columns = []\n",
    "for symbol in symbols:\n",
    "    column_name = \"Prediction_{}\".format(symbol)  # Generate column name based on the symbol\n",
    "    columns.append(column_name)  # Append column name to list\n",
    "    df2[column_name] = df2[symbol].shift(-future_days)  # Create new column shifted 100 units/rows up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
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   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AAPL</th>\n",
       "      <th>TSLA</th>\n",
       "      <th>Prediction_AAPL</th>\n",
       "      <th>Prediction_TSLA</th>\n",
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       "    <tr>\n",
       "      <th>Date</th>\n",
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       "      <th>2021-12-27</th>\n",
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       "      <th>2021-12-30</th>\n",
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       "      <td>356.779999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>2021-12-31</th>\n",
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       "      <td>NaN</td>\n",
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      "text/plain": [
       "                  AAPL        TSLA  Prediction_AAPL  Prediction_TSLA\n",
       "Date                                                                \n",
       "2021-12-27  178.768860  364.646667              NaN              NaN\n",
       "2021-12-28  177.737839  362.823334              NaN              NaN\n",
       "2021-12-29  177.827057  362.063324              NaN              NaN\n",
       "2021-12-30  176.657272  356.779999              NaN              NaN\n",
       "2021-12-31  176.032745  352.260010              NaN              NaN"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AAPL</th>\n",
       "      <th>TSLA</th>\n",
       "      <th>Prediction_AAPL</th>\n",
       "      <th>Prediction_TSLA</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-02</th>\n",
       "      <td>73.347931</td>\n",
       "      <td>28.684000</td>\n",
       "      <td>78.080223</td>\n",
       "      <td>54.681999</td>\n",
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       "    <tr>\n",
       "      <th>2020-01-03</th>\n",
       "      <td>72.634842</td>\n",
       "      <td>29.534000</td>\n",
       "      <td>78.114586</td>\n",
       "      <td>53.720669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-06</th>\n",
       "      <td>73.213631</td>\n",
       "      <td>30.102667</td>\n",
       "      <td>78.038513</td>\n",
       "      <td>55.666668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-07</th>\n",
       "      <td>72.869293</td>\n",
       "      <td>31.270666</td>\n",
       "      <td>78.998215</td>\n",
       "      <td>59.873333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-08</th>\n",
       "      <td>74.041473</td>\n",
       "      <td>32.809334</td>\n",
       "      <td>79.363930</td>\n",
       "      <td>58.770668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-20</th>\n",
       "      <td>78.355141</td>\n",
       "      <td>54.370667</td>\n",
       "      <td>122.356354</td>\n",
       "      <td>147.433334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-21</th>\n",
       "      <td>77.770950</td>\n",
       "      <td>55.173332</td>\n",
       "      <td>119.110565</td>\n",
       "      <td>148.883331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-22</th>\n",
       "      <td>78.271698</td>\n",
       "      <td>54.458668</td>\n",
       "      <td>119.199081</td>\n",
       "      <td>153.766663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-26</th>\n",
       "      <td>77.741524</td>\n",
       "      <td>54.591331</td>\n",
       "      <td>118.726982</td>\n",
       "      <td>149.626663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-27</th>\n",
       "      <td>78.080223</td>\n",
       "      <td>54.681999</td>\n",
       "      <td>117.064720</td>\n",
       "      <td>146.556671</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>101 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 AAPL       TSLA  Prediction_AAPL  Prediction_TSLA\n",
       "Date                                                              \n",
       "2020-01-02  73.347931  28.684000        78.080223        54.681999\n",
       "2020-01-03  72.634842  29.534000        78.114586        53.720669\n",
       "2020-01-06  73.213631  30.102667        78.038513        55.666668\n",
       "2020-01-07  72.869293  31.270666        78.998215        59.873333\n",
       "2020-01-08  74.041473  32.809334        79.363930        58.770668\n",
       "...               ...        ...              ...              ...\n",
       "2020-05-20  78.355141  54.370667       122.356354       147.433334\n",
       "2020-05-21  77.770950  55.173332       119.110565       148.883331\n",
       "2020-05-22  78.271698  54.458668       119.199081       153.766663\n",
       "2020-05-26  77.741524  54.591331       118.726982       149.626663\n",
       "2020-05-27  78.080223  54.681999       117.064720       146.556671\n",
       "\n",
       "[101 rows x 4 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head(101)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-01T03:33:14.698482Z",
     "iopub.status.busy": "2021-03-01T03:33:14.697339Z",
     "iopub.status.idle": "2021-03-01T03:33:14.707617Z",
     "shell.execute_reply": "2021-03-01T03:33:14.706881Z"
    },
    "papermill": {
     "duration": 0.045512,
     "end_time": "2021-03-01T03:33:14.707748",
     "exception": false,
     "start_time": "2021-03-01T03:33:14.662236",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 73.34793091  28.68400002]\n",
      " [ 72.63484192  29.5340004 ]\n",
      " [ 73.21363068  30.10266685]\n",
      " [ 72.86929321  31.27066612]\n",
      " [ 74.04147339  32.8093338 ]\n",
      " [ 75.61418152  32.08933258]\n",
      " [ 75.78512573  31.87666702]\n",
      " [ 77.40423584  34.99066544]\n",
      " [ 76.35902405  35.86133194]\n",
      " [ 76.03178406  34.56666565]\n",
      " [ 76.98419189  34.23266602]\n",
      " [ 77.83648682  34.03333282]\n",
      " [ 77.30899811  36.47999954]\n",
      " [ 77.58495331  37.97066879]\n",
      " [ 77.95858765  38.14666748]\n",
      " [ 77.73392487  37.6546669 ]\n",
      " [ 75.44812012  37.20133209]\n",
      " [ 77.58250427  37.79333115]\n",
      " [ 79.20648956  38.73266602]\n",
      " [ 79.09171295  42.72066879]\n",
      " [ 75.58488464  43.37133408]\n",
      " [ 75.37728882  52.        ]\n",
      " [ 77.86579132  59.13733292]\n",
      " [ 78.50073242  48.97999954]\n",
      " [ 79.41896057  49.93066788]\n",
      " [ 78.33943176  49.87133408]\n",
      " [ 78.71150208  51.41866684]\n",
      " [ 78.23662567  51.62533188]\n",
      " [ 80.09456635  51.152668  ]\n",
      " [ 79.5242157   53.59999847]\n",
      " [ 79.54379272  53.33533478]\n",
      " [ 78.08731842  57.2266655 ]\n",
      " [ 79.21821594  61.16133118]\n",
      " [ 78.40551758  59.96066666]\n",
      " [ 76.63079834  60.06666565]\n",
      " [ 72.99082184  55.58599854]\n",
      " [ 70.51847076  53.32733154]\n",
      " [ 71.63713074  51.91999817]\n",
      " [ 66.95436096  45.26666641]\n",
      " [ 66.91519165  44.53266525]\n",
      " [ 73.14503479  49.57466888]\n",
      " [ 70.82200623  49.70066833]\n",
      " [ 74.10707092  49.96666718]\n",
      " [ 71.70323944  48.30266571]\n",
      " [ 70.75099945  46.89866638]\n",
      " [ 65.15518188  40.53333282]\n",
      " [ 69.84775543  43.02199936]\n",
      " [ 67.42190552  42.2820015 ]\n",
      " [ 60.76366806  37.36999893]\n",
      " [ 68.0436554   36.44133377]\n",
      " [ 59.29005432  29.67133331]\n",
      " [ 61.89703751  28.68000031]\n",
      " [ 60.38180923  24.08133316]\n",
      " [ 59.91915894  28.50933266]\n",
      " [ 56.11515427  28.50200081]\n",
      " [ 54.92303848  28.95266724]\n",
      " [ 60.43320465  33.66666794]\n",
      " [ 60.10029984  35.95000076]\n",
      " [ 63.26296234  35.21066666]\n",
      " [ 60.64373016  34.29066849]\n",
      " [ 62.3743782   33.47533417]\n",
      " [ 62.24708557  34.93333435]\n",
      " [ 58.97182846  32.10400009]\n",
      " [ 59.95587158  30.29800034]\n",
      " [ 59.09422684  32.00066757]\n",
      " [ 64.24945831  34.41600037]\n",
      " [ 63.5052948   36.36333466]\n",
      " [ 65.13069153  36.58933258]\n",
      " [ 65.60068512  38.20000076]\n",
      " [ 66.88825989  43.39666748]\n",
      " [ 70.26633453  47.32600021]\n",
      " [ 69.62499237  48.65533447]\n",
      " [ 70.17819977  49.68066788]\n",
      " [ 69.2259903   50.25933456]\n",
      " [ 67.78908539  49.75733185]\n",
      " [ 65.69369507  45.78133392]\n",
      " [ 67.58590698  48.8073349 ]\n",
      " [ 67.32398987  47.04199982]\n",
      " [ 69.26759338  48.3433342 ]\n",
      " [ 69.31656647  53.25      ]\n",
      " [ 68.19299316  51.27466583]\n",
      " [ 70.43278503  53.36733246]\n",
      " [ 71.91864777  52.12533188]\n",
      " [ 70.76079559  46.75466537]\n",
      " [ 71.76200104  50.74599838]\n",
      " [ 72.83905029  51.2140007 ]\n",
      " [ 73.59055328  52.17200089]\n",
      " [ 74.35184479  52.00266647]\n",
      " [ 76.12153625  54.62799835]\n",
      " [ 77.31932831  54.08599854]\n",
      " [ 76.43570709  53.96066666]\n",
      " [ 75.51282501  52.73066711]\n",
      " [ 75.97673035  53.55533218]\n",
      " [ 75.52754211  53.27799988]\n",
      " [ 77.30705261  54.24200058]\n",
      " [ 76.86035156  53.86733246]\n",
      " [ 78.35514069  54.3706665 ]\n",
      " [ 77.77095032  55.17333221]\n",
      " [ 78.271698    54.45866776]\n",
      " [ 77.74152374  54.59133148]\n",
      " [ 78.08022308  54.68199921]\n",
      " [ 78.11458588  53.72066879]\n",
      " [ 78.03851318  55.66666794]\n",
      " [ 78.99821472  59.87333298]\n",
      " [ 79.36392975  58.77066803]\n",
      " [ 79.80082703  58.86399841]\n",
      " [ 79.1135788   57.62533188]\n",
      " [ 81.36681366  59.04399872]\n",
      " [ 81.84790039  63.32799911]\n",
      " [ 84.43250275  62.71133423]\n",
      " [ 86.60472107  68.33666992]\n",
      " [ 82.44680023  64.85600281]\n",
      " [ 83.15860748  62.35200119]\n",
      " [ 84.18703461  66.05999756]\n",
      " [ 86.41818237  65.47533417]\n",
      " [ 86.29790497  66.11933136]\n",
      " [ 86.33226776  66.93066406]\n",
      " [ 85.83892822  66.72666931]\n",
      " [ 88.08479309  66.28800201]\n",
      " [ 89.96495819  66.78533173]\n",
      " [ 88.37687683  64.05666351]\n",
      " [ 89.55013275  65.73200226]\n",
      " [ 86.79864502  63.98266602]\n",
      " [ 88.79906464  67.29000092]\n",
      " [ 89.54031372  71.98733521]\n",
      " [ 89.37095642  74.64199829]\n",
      " [ 89.37095642  80.57733154]\n",
      " [ 91.76165009  91.4386673 ]\n",
      " [ 91.47692108  92.65733337]\n",
      " [ 93.6074295   91.05867004]\n",
      " [ 94.00997162  92.95200348]\n",
      " [ 94.17442322 102.97666931]\n",
      " [ 93.73996735  99.80400085]\n",
      " [ 95.29121399 101.12000275]\n",
      " [ 95.94656372 103.06732941]\n",
      " [ 94.76594543 100.04266357]\n",
      " [ 94.57449341 100.05599976]\n",
      " [ 96.56756592 109.53333282]\n",
      " [ 95.2347641  104.5573349 ]\n",
      " [ 95.50230408 106.15533447]\n",
      " [ 91.15540314 100.87133026]\n",
      " [ 90.92957306  94.46666718]\n",
      " [ 93.08460236 102.63999939]\n",
      " [ 91.55545807  98.43267059]\n",
      " [ 93.31044006  99.9406662 ]\n",
      " [ 94.43950653  99.16600037]\n",
      " [104.32626343  95.38400269]\n",
      " [106.95500946  99.        ]\n",
      " [107.66928864  99.1333313 ]\n",
      " [108.05954742  99.00133514]\n",
      " [111.8296814   99.305336  ]\n",
      " [109.28713226  96.84733582]\n",
      " [110.87562561  94.57133484]\n",
      " [107.57817078  91.62599945]\n",
      " [111.15346527 103.65066528]\n",
      " [113.12060547 108.06666565]\n",
      " [113.01979065 110.04733276]\n",
      " [112.72470856 122.37599945]\n",
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      " [113.80664825 125.2353363 ]\n",
      " [116.33197021 133.45533752]\n",
      " [122.326828   136.66532898]\n",
      " [123.78990173 134.27999878]\n",
      " [122.77436066 134.889328  ]\n",
      " [124.44398499 143.54466248]\n",
      " [122.95632172 149.25      ]\n",
      " [122.75714111 147.55999756]\n",
      " [126.92011261 166.10667419]\n",
      " [131.97567749 158.3500061 ]\n",
      " [129.24136353 149.12333679]\n",
      " [118.89417267 135.66667175]\n",
      " [118.97286224 139.44000244]\n",
      " [110.96658325 110.06999969]\n",
      " [115.39266205 122.09333038]\n",
      " [111.6255722  123.77999878]\n",
      " [110.16004944 124.23999786]\n",
      " [113.46485901 139.87333679]\n",
      " [113.64189911 149.91999817]\n",
      " [110.28791809 147.25332642]\n",
      " [108.52732849 141.14332581]\n",
      " [105.08481598 147.3833313 ]\n",
      " [108.27159882 149.79666138]\n",
      " [109.97316742 141.41000366]\n",
      " [105.36022186 126.78666687]\n",
      " [106.44213867 129.26333618]\n",
      " [110.43544769 135.77999878]\n",
      " [113.07143402 140.3999939 ]\n",
      " [112.21570587 139.69000244]\n",
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      " [114.58612061 141.89332581]\n",
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      " [113.18946838 141.7666626 ]\n",
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      " [119.11056519 148.8833313 ]\n",
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      " [120.91217041 194.91999817]\n",
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      " [121.12895203 197.79333496]\n",
      " [120.44911194 199.67999268]\n",
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      " [124.73503876 251.99333191]\n",
      " [128.9914093  272.01333618]\n",
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      " [127.07995605 270.39666748]\n",
      " [126.90262604 283.14666748]\n",
      " [128.96185303 284.80334473]\n",
      " [127.01100159 281.66665649]\n",
      " [125.26706696 275.38665771]\n",
      " [125.94691467 281.5166626 ]\n",
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      " [137.02134705 282.21331787]\n",
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      " [141.05108643 294.36334229]\n",
      " [139.96728516 288.05334473]\n",
      " [135.07048035 278.47665405]\n",
      " [130.0160675  264.51000977]\n",
      " [132.16395569 279.93667603]\n",
      " [133.00143433 290.92999268]\n",
      " [131.96691895 284.89666748]\n",
      " [135.36604309 283.32998657]\n",
      " [134.94670105 284.07666016]\n",
      " [135.09472656 287.80667114]\n",
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      " [133.59487915 268.27334595]\n",
      " [133.33833313 270.55334473]\n",
      " [133.57513428 272.04000854]\n",
      " [131.42404175 265.40667725]\n",
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      " [127.99020386 262.45999146]\n",
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      " [124.19123077 232.94667053]\n",
      " [123.68798828 247.33999634]\n",
      " [119.38581085 227.40666199]\n",
      " [119.65221405 225.16667175]\n",
      " [126.09563446 239.47666931]\n",
      " [123.46105194 228.81333923]\n",
      " [120.44161224 217.7333374 ]\n",
      " [118.53720856 207.14666748]\n",
      " [119.81009674 199.31666565]\n",
      " [114.81719971 187.66667175]\n",
      " [119.48448181 224.52667236]\n",
      " [118.3891983  222.68666077]\n",
      " [120.34294891 233.19999695]\n",
      " [119.42527771 231.24333191]\n",
      " [122.34603119 235.97999573]\n",
      " [123.90507507 225.62666321]\n",
      " [123.1058197  233.93666077]\n",
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      " [132.53907776 243.1333313 ]\n",
      " [132.93377686 246.06666565]\n",
      " [132.60813904 234.91333008]\n",
      " [131.80888367 231.46665955]\n",
      " [131.71020508 225.66667175]\n",
      " [129.71697998 236.47999573]\n",
      " [130.78265381 228.30000305]\n",
      " [126.15483856 224.53334045]\n",
      " [126.40155792 223.64666748]\n",
      " [128.01980591 221.17999268]\n",
      " [128.70181274 224.12333679]\n",
      " [125.38071442 209.67999268]\n",
      " [124.45161438 205.7333374 ]\n",
      " [121.34796906 196.63000488]\n",
      " [123.52249908 190.56333923]\n",
      " [125.97376251 196.58000183]\n",
      " [124.80744171 192.27667236]\n",
      " [123.40388489 192.62333679]\n",
      " [123.24573517 187.82000732]\n",
      " [125.83538818 195.59333801]\n",
      " [123.97715759 193.62666321]\n",
      " [125.62782288 202.14666748]\n",
      " [125.43014526 201.56333923]\n",
      " [125.38071442 206.37666321]\n",
      " [123.8289032  210.28334045]\n",
      " [123.16666412 208.40666199]\n",
      " [122.84047699 207.96665955]\n",
      " [123.6114502  201.70666504]\n",
      " [122.10905457 190.94667053]\n",
      " [124.43184662 199.68333435]\n",
      " [124.44173431 201.71000671]\n",
      " [125.27198792 201.19667053]\n",
      " [125.6574707  199.59333801]\n",
      " [124.64929199 203.37333679]\n",
      " [125.87492371 203.29666138]\n",
      " [128.96868896 205.89666748]\n",
      " [128.13839722 199.78666687]\n",
      " [128.64248657 201.62333679]\n",
      " [130.26350403 205.53334045]\n",
      " [128.94891357 207.77000427]\n",
      " [130.76759338 206.94332886]\n",
      " [132.4281311  207.90333557]\n",
      " [132.15139771 218.85667419]\n",
      " [131.86473083 226.60667419]\n",
      " [131.56822205 223.95666504]\n",
      " [133.21885681 229.57333374]\n",
      " [134.75091553 226.91999817]\n",
      " [135.37362671 226.56666565]\n",
      " [135.68000793 225.97332764]\n",
      " [138.33886719 226.30000305]\n",
      " [140.37503052 219.86000061]\n",
      " [142.89547729 214.8833313 ]\n",
      " [141.58088684 217.60333252]\n",
      " [143.42922974 218.9833374 ]\n",
      " [142.82627869 228.56666565]\n",
      " [143.95307922 222.84666443]\n",
      " [147.42240906 217.79333496]\n",
      " [146.76017761 216.8666687 ]\n",
      " [144.69439697 214.74000549]\n",
      " [140.80003357 215.40666199]\n",
      " [144.45718384 220.16667175]\n",
      " [143.71583557 218.42999268]\n",
      " [145.09963989 216.41999817]\n",
      " [146.8392334  214.46000671]\n",
      " [147.26428223 219.20666504]\n",
      " [145.06999207 214.92666626]\n",
      " [143.30070496 215.66000366]\n",
      " [143.95307922 225.78334045]\n",
      " [144.17053223 229.06666565]\n",
      " [143.8344574  236.55667114]\n",
      " [145.65318298 236.58000183]\n",
      " [145.24789429 236.97332764]\n",
      " [145.35664368 238.21000671]\n",
      " [144.66369629 233.03334045]\n",
      " [144.61421204 237.91999817]\n",
      " [144.12916565 236.66333008]]\n"
     ]
    }
   ],
   "source": [
    "# Input values\n",
    "X = np.array(df2.drop(columns, axis = 1))[:-future_days]\n",
    "print(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-01T03:33:14.779269Z",
     "iopub.status.busy": "2021-03-01T03:33:14.778294Z",
     "iopub.status.idle": "2021-03-01T03:33:14.782397Z",
     "shell.execute_reply": "2021-03-01T03:33:14.781761Z"
    },
    "papermill": {
     "duration": 0.04276,
     "end_time": "2021-03-01T03:33:14.782531",
     "exception": false,
     "start_time": "2021-03-01T03:33:14.739771",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 78.08022308  54.68199921]\n",
      " [ 78.11458588  53.72066879]\n",
      " [ 78.03851318  55.66666794]\n",
      " [ 78.99821472  59.87333298]\n",
      " [ 79.36392975  58.77066803]\n",
      " [ 79.80082703  58.86399841]\n",
      " [ 79.1135788   57.62533188]\n",
      " [ 81.36681366  59.04399872]\n",
      " [ 81.84790039  63.32799911]\n",
      " [ 84.43250275  62.71133423]\n",
      " [ 86.60472107  68.33666992]\n",
      " [ 82.44680023  64.85600281]\n",
      " [ 83.15860748  62.35200119]\n",
      " [ 84.18703461  66.05999756]\n",
      " [ 86.41818237  65.47533417]\n",
      " [ 86.29790497  66.11933136]\n",
      " [ 86.33226776  66.93066406]\n",
      " [ 85.83892822  66.72666931]\n",
      " [ 88.08479309  66.28800201]\n",
      " [ 89.96495819  66.78533173]\n",
      " [ 88.37687683  64.05666351]\n",
      " [ 89.55013275  65.73200226]\n",
      " [ 86.79864502  63.98266602]\n",
      " [ 88.79906464  67.29000092]\n",
      " [ 89.54031372  71.98733521]\n",
      " [ 89.37095642  74.64199829]\n",
      " [ 89.37095642  80.57733154]\n",
      " [ 91.76165009  91.4386673 ]\n",
      " [ 91.47692108  92.65733337]\n",
      " [ 93.6074295   91.05867004]\n",
      " [ 94.00997162  92.95200348]\n",
      " [ 94.17442322 102.97666931]\n",
      " [ 93.73996735  99.80400085]\n",
      " [ 95.29121399 101.12000275]\n",
      " [ 95.94656372 103.06732941]\n",
      " [ 94.76594543 100.04266357]\n",
      " [ 94.57449341 100.05599976]\n",
      " [ 96.56756592 109.53333282]\n",
      " [ 95.2347641  104.5573349 ]\n",
      " [ 95.50230408 106.15533447]\n",
      " [ 91.15540314 100.87133026]\n",
      " [ 90.92957306  94.46666718]\n",
      " [ 93.08460236 102.63999939]\n",
      " [ 91.55545807  98.43267059]\n",
      " [ 93.31044006  99.9406662 ]\n",
      " [ 94.43950653  99.16600037]\n",
      " [104.32626343  95.38400269]\n",
      " [106.95500946  99.        ]\n",
      " [107.66928864  99.1333313 ]\n",
      " [108.05954742  99.00133514]\n",
      " [111.8296814   99.305336  ]\n",
      " [109.28713226  96.84733582]\n",
      " [110.87562561  94.57133484]\n",
      " [107.57817078  91.62599945]\n",
      " [111.15346527 103.65066528]\n",
      " [113.12060547 108.06666565]\n",
      " [113.01979065 110.04733276]\n",
      " [112.72470856 122.37599945]\n",
      " [113.66403198 125.80599976]\n",
      " [113.80664825 125.2353363 ]\n",
      " [116.33197021 133.45533752]\n",
      " [122.326828   136.66532898]\n",
      " [123.78990173 134.27999878]\n",
      " [122.77436066 134.889328  ]\n",
      " [124.44398499 143.54466248]\n",
      " [122.95632172 149.25      ]\n",
      " [122.75714111 147.55999756]\n",
      " [126.92011261 166.10667419]\n",
      " [131.97567749 158.3500061 ]\n",
      " [129.24136353 149.12333679]\n",
      " [118.89417267 135.66667175]\n",
      " [118.97286224 139.44000244]\n",
      " [110.96658325 110.06999969]\n",
      " [115.39266205 122.09333038]\n",
      " [111.6255722  123.77999878]\n",
      " [110.16004944 124.23999786]\n",
      " [113.46485901 139.87333679]\n",
      " [113.64189911 149.91999817]\n",
      " [110.28791809 147.25332642]\n",
      " [108.52732849 141.14332581]\n",
      " [105.08481598 147.3833313 ]\n",
      " [108.27159882 149.79666138]\n",
      " [109.97316742 141.41000366]\n",
      " [105.36022186 126.78666687]\n",
      " [106.44213867 129.26333618]\n",
      " [110.43544769 135.77999878]\n",
      " [113.07143402 140.3999939 ]\n",
      " [112.21570587 139.69000244]\n",
      " [113.90746307 143.00332642]\n",
      " [114.87137604 149.38667297]\n",
      " [111.16329193 138.36332703]\n",
      " [114.58612061 141.89332581]\n",
      " [111.30099487 137.99333191]\n",
      " [113.18946838 141.7666626 ]\n",
      " [113.08126831 141.97332764]\n",
      " [115.04840851 144.66667175]\n",
      " [122.35635376 147.43333435]\n",
      " [119.11056519 148.8833313 ]\n",
      " [119.19908142 153.7666626 ]\n",
      " [118.72698212 149.62666321]\n",
      " [117.06472015 146.55667114]\n",
      " [114.07468414 143.61000061]\n",
      " [115.57953644 140.64666748]\n",
      " [114.95004272 140.88000488]\n",
      " [113.84845734 141.92999268]\n",
      " [113.15010834 140.21000671]\n",
      " [113.15994263 140.09333801]\n",
      " [114.68447876 141.55999756]\n",
      " [109.3731842  135.33999634]\n",
      " [113.42549896 136.94332886]\n",
      " [107.07164001 129.34666443]\n",
      " [106.98311615 133.50332642]\n",
      " [108.62567139 141.30000305]\n",
      " [113.06158447 140.32666016]\n",
      " [117.07455444 146.02999878]\n",
      " [116.94155121 143.31666565]\n",
      " [114.60646057 140.41999817]\n",
      " [114.26164246 136.78666687]\n",
      " [117.72976685 139.04333496]\n",
      " [117.45389557 137.25332642]\n",
      " [117.50315857 136.16667175]\n",
      " [118.52783203 136.02999878]\n",
      " [117.63124084 147.20333862]\n",
      " [116.29128265 162.21333313]\n",
      " [116.89229584 166.42333984]\n",
      " [115.61142731 163.20333862]\n",
      " [112.17285919 173.94999695]\n",
      " [113.47341156 185.12666321]\n",
      " [114.32074738 191.33332825]\n",
      " [114.8724823  195.25332642]\n",
      " [117.29624939 189.19999695]\n",
      " [120.91217041 194.91999817]\n",
      " [121.26688385 189.60667419]\n",
      " [121.12895203 197.79333496]\n",
      " [120.44911194 199.67999268]\n",
      " [121.92703247 213.91999817]\n",
      " [122.54772949 216.62666321]\n",
      " [119.98604584 201.49333191]\n",
      " [121.42453003 209.02333069]\n",
      " [120.60675812 203.33000183]\n",
      " [119.98604584 213.27667236]\n",
      " [125.99616241 211.08332825]\n",
      " [125.92720795 207.58999634]\n",
      " [126.80410004 218.6333313 ]\n",
      " [124.79415131 231.66667175]\n",
      " [126.34101868 216.61999512]\n",
      " [129.93725586 213.44667053]\n",
      " [129.03079224 215.32666016]\n",
      " [130.02590942 220.58999634]\n",
      " [134.6763916  221.22999573]\n",
      " [132.88317871 221.99667358]\n",
      " [131.75013733 231.59333801]\n",
      " [130.73532104 235.22332764]\n",
      " [127.50363159 243.25666809]\n",
      " [129.08006287 245.03666687]\n",
      " [124.73503876 251.99333191]\n",
      " [128.9914093  272.01333618]\n",
      " [130.10475159 293.33999634]\n",
      " [127.07995605 270.39666748]\n",
      " [126.90262604 283.14666748]\n",
      " [128.96185303 284.80334473]\n",
      " [127.01100159 281.66665649]\n",
      " [125.26706696 275.38665771]\n",
      " [125.94691467 281.5166626 ]\n",
      " [130.08503723 283.4833374 ]\n",
      " [134.85372925 281.66333008]\n",
      " [137.02134705 282.21331787]\n",
      " [140.81459045 293.6000061 ]\n",
      " [141.05108643 294.36334229]\n",
      " [139.96728516 288.05334473]\n",
      " [135.07048035 278.47665405]\n",
      " [130.0160675  264.51000977]\n",
      " [132.16395569 279.93667603]\n",
      " [133.00143433 290.92999268]\n",
      " [131.96691895 284.89666748]\n",
      " [135.36604309 283.32998657]\n",
      " [134.94670105 284.07666016]\n",
      " [135.09472656 287.80667114]\n",
      " [134.20664978 283.15332031]\n",
      " [133.59487915 268.27334595]\n",
      " [133.33833313 270.55334473]\n",
      " [133.57513428 272.04000854]\n",
      " [131.42404175 265.40667725]\n",
      " [129.10519409 266.04998779]\n",
      " [127.99020386 262.45999146]\n",
      " [128.14807129 260.43331909]\n",
      " [124.32938385 238.16667175]\n",
      " [124.19123077 232.94667053]\n",
      " [123.68798828 247.33999634]\n",
      " [119.38581085 227.40666199]\n",
      " [119.65221405 225.16667175]\n",
      " [126.09563446 239.47666931]\n",
      " [123.46105194 228.81333923]\n",
      " [120.44161224 217.7333374 ]\n",
      " [118.53720856 207.14666748]\n",
      " [119.81009674 199.31666565]\n",
      " [114.81719971 187.66667175]\n",
      " [119.48448181 224.52667236]\n",
      " [118.3891983  222.68666077]\n",
      " [120.34294891 233.19999695]\n",
      " [119.42527771 231.24333191]\n",
      " [122.34603119 235.97999573]\n",
      " [123.90507507 225.62666321]\n",
      " [123.1058197  233.93666077]\n",
      " [118.93190002 217.72000122]\n",
      " [118.39907074 218.28999329]\n",
      " [121.75397491 223.33332825]\n",
      " [120.91525269 220.72000122]\n",
      " [118.4977417  210.08999634]\n",
      " [118.99111176 213.46333313]\n",
      " [119.60287476 206.23666382]\n",
      " [119.78050232 203.76333618]\n",
      " [118.31027985 211.87333679]\n",
      " [120.53042603 222.64332581]\n",
      " [121.36915588 220.58332825]\n",
      " [124.23072052 230.3500061 ]\n",
      " [124.53659821 230.53999329]\n",
      " [126.20420074 223.65666199]\n",
      " [128.63157654 227.93333435]\n",
      " [131.23654175 225.67333984]\n",
      " [129.49989319 233.99333191]\n",
      " [132.64759827 254.10667419]\n",
      " [130.2794342  244.07666016]\n",
      " [132.71669006 246.28334045]\n",
      " [132.38117981 246.59333801]\n",
      " [133.05215454 238.21000671]\n",
      " [131.34512329 239.66333008]\n",
      " [131.72993469 248.03999329]\n",
      " [130.19061279 239.89666748]\n",
      " [132.53907776 243.1333313 ]\n",
      " [132.93377686 246.06666565]\n",
      " [132.60813904 234.91333008]\n",
      " [131.80888367 231.46665955]\n",
      " [131.71020508 225.66667175]\n",
      " [129.71697998 236.47999573]\n",
      " [130.78265381 228.30000305]\n",
      " [126.15483856 224.53334045]\n",
      " [126.40155792 223.64666748]\n",
      " [128.01980591 221.17999268]\n",
      " [128.70181274 224.12333679]\n",
      " [125.38071442 209.67999268]\n",
      " [124.45161438 205.7333374 ]\n",
      " [121.34796906 196.63000488]\n",
      " [123.52249908 190.56333923]\n",
      " [125.97376251 196.58000183]\n",
      " [124.80744171 192.27667236]\n",
      " [123.40388489 192.62333679]\n",
      " [123.24573517 187.82000732]\n",
      " [125.83538818 195.59333801]\n",
      " [123.97715759 193.62666321]\n",
      " [125.62782288 202.14666748]\n",
      " [125.43014526 201.56333923]\n",
      " [125.38071442 206.37666321]\n",
      " [123.8289032  210.28334045]\n",
      " [123.16666412 208.40666199]\n",
      " [122.84047699 207.96665955]\n",
      " [123.6114502  201.70666504]\n",
      " [122.10905457 190.94667053]\n",
      " [124.43184662 199.68333435]\n",
      " [124.44173431 201.71000671]\n",
      " [125.27198792 201.19667053]\n",
      " [125.6574707  199.59333801]\n",
      " [124.64929199 203.37333679]\n",
      " [125.87492371 203.29666138]\n",
      " [128.96868896 205.89666748]\n",
      " [128.13839722 199.78666687]\n",
      " [128.64248657 201.62333679]\n",
      " [130.26350403 205.53334045]\n",
      " [128.94891357 207.77000427]\n",
      " [130.76759338 206.94332886]\n",
      " [132.4281311  207.90333557]\n",
      " [132.15139771 218.85667419]\n",
      " [131.86473083 226.60667419]\n",
      " [131.56822205 223.95666504]\n",
      " [133.21885681 229.57333374]\n",
      " [134.75091553 226.91999817]\n",
      " [135.37362671 226.56666565]\n",
      " [135.68000793 225.97332764]\n",
      " [138.33886719 226.30000305]\n",
      " [140.37503052 219.86000061]\n",
      " [142.89547729 214.8833313 ]\n",
      " [141.58088684 217.60333252]\n",
      " [143.42922974 218.9833374 ]\n",
      " [142.82627869 228.56666565]\n",
      " [143.95307922 222.84666443]\n",
      " [147.42240906 217.79333496]\n",
      " [146.76017761 216.8666687 ]\n",
      " [144.69439697 214.74000549]\n",
      " [140.80003357 215.40666199]\n",
      " [144.45718384 220.16667175]\n",
      " [143.71583557 218.42999268]\n",
      " [145.09963989 216.41999817]\n",
      " [146.8392334  214.46000671]\n",
      " [147.26428223 219.20666504]\n",
      " [145.06999207 214.92666626]\n",
      " [143.30070496 215.66000366]\n",
      " [143.95307922 225.78334045]\n",
      " [144.17053223 229.06666565]\n",
      " [143.8344574  236.55667114]\n",
      " [145.65318298 236.58000183]\n",
      " [145.24789429 236.97332764]\n",
      " [145.35664368 238.21000671]\n",
      " [144.66369629 233.03334045]\n",
      " [144.61421204 237.91999817]\n",
      " [144.12916565 236.66333008]\n",
      " [144.38653564 235.94000244]\n",
      " [147.38591003 240.75      ]\n",
      " [147.59379578 239.05667114]\n",
      " [149.59339905 228.72332764]\n",
      " [148.67279053 221.90333557]\n",
      " [144.88148499 229.66333008]\n",
      " [145.2180481  224.49000549]\n",
      " [146.69299316 226.75332642]\n",
      " [148.19764709 235.43333435]\n",
      " [148.10853577 236.16333008]\n",
      " [146.86126709 237.06666565]\n",
      " [146.04954529 233.72000122]\n",
      " [147.09886169 237.30667114]\n",
      " [151.57319641 243.63667297]\n",
      " [150.29621887 245.24000549]\n",
      " [150.96934509 244.69667053]\n",
      " [152.09783936 244.13000488]\n",
      " [152.74125671 244.52333069]\n",
      " [155.10714722 250.97332764]\n",
      " [153.54309082 251.28999329]\n",
      " [152.51358032 251.61999512]\n",
      " [147.46511841 245.42333984]\n",
      " [148.03924561 247.66667175]\n",
      " [146.62368774 248.16333008]\n",
      " [147.52449036 251.94332886]\n",
      " [147.28692627 252.33000183]\n",
      " [144.58453369 253.16333008]\n",
      " [141.49604797 243.38999939]\n",
      " [141.98106384 246.46000671]\n",
      " [144.37661743 250.64666748]\n",
      " [145.34677124 251.21333313]\n",
      " [145.43582153 258.13000488]\n",
      " [143.90148926 263.78668213]\n",
      " [140.47644043 259.18667603]\n",
      " [141.38713074 260.43667603]\n",
      " [140.0705719  258.49334717]\n",
      " [141.20896912 258.40667725]\n",
      " [137.73442078 260.51000977]\n",
      " [139.68450928 260.19665527]\n",
      " [140.5655365  260.91665649]\n",
      " [141.84249878 264.53668213]\n",
      " [141.4564209  261.82998657]\n",
      " [141.36732483 263.98001099]\n",
      " [140.08047485 268.57333374]\n",
      " [139.48652649 270.35998535]\n",
      " [142.30773926 272.77334595]\n",
      " [143.37683105 281.01000977]\n",
      " [145.06956482 290.03668213]\n",
      " [147.25721741 288.08999634]\n",
      " [147.75216675 288.6000061 ]\n",
      " [147.9699707  298.        ]\n",
      " [147.1879425  303.22665405]\n",
      " [147.13842773 341.61999512]\n",
      " [147.81156921 339.47665405]\n",
      " [147.34632874 345.95333862]\n",
      " [151.02874756 359.01333618]\n",
      " [148.28672791 371.33334351]\n",
      " [147.45523071 402.86334229]\n",
      " [148.50450134 390.66665649]\n",
      " [149.95967102 404.61999512]\n",
      " [149.43501282 409.97000122]\n",
      " [149.97035217 407.36334229]\n",
      " [149.13760376 387.64666748]\n",
      " [149.50440979 341.16665649]\n",
      " [146.63941956 355.9833374 ]\n",
      " [146.58985901 354.50332642]\n",
      " [148.69151306 344.47332764]\n",
      " [148.70141602 337.79666138]\n",
      " [149.69277954 351.57666016]\n",
      " [152.16120911 363.00332642]\n",
      " [156.50326538 365.45999146]\n",
      " [159.16007996 379.01998901]\n",
      " [159.62600708 385.62332153]\n",
      " [160.01264954 369.67666626]\n",
      " [160.53805542 372.        ]\n",
      " [155.45245361 360.64001465]\n",
      " [158.85276794 378.99667358]\n",
      " [163.86897278 381.58666992]\n",
      " [163.34355164 365.        ]\n",
      " [162.34230042 361.5333252 ]\n",
      " [160.43888855 338.32333374]\n",
      " [163.88879395 336.33666992]\n",
      " [169.69802856 350.58334351]\n",
      " [173.56430054 356.32000732]\n",
      " [173.04878235 334.6000061 ]\n",
      " [177.89646912 339.01000977]\n",
      " [174.21858215 322.13665771]\n",
      " [172.82078552 319.50332642]\n",
      " [177.74775696 325.32998657]\n",
      " [170.76869202 308.97332764]\n",
      " [169.65840149 310.85665894]\n",
      " [168.28045654 299.98001099]\n",
      " [171.49238586 312.84332275]\n",
      " [174.11943054 336.29000854]\n",
      " [174.75390625 355.66665649]\n",
      " [178.76885986 364.64666748]\n",
      " [177.73783875 362.82333374]\n",
      " [177.82705688 362.06332397]\n",
      " [176.65727234 356.77999878]\n",
      " [176.03274536 352.26000977]]\n"
     ]
    }
   ],
   "source": [
    "# Output values\n",
    "y = np.array(df2[columns])[:-future_days]\n",
    "print(y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.031958,
     "end_time": "2021-03-01T03:33:14.846894",
     "exception": false,
     "start_time": "2021-03-01T03:33:14.814936",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Linear and Decision Tree Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-01T03:33:14.917942Z",
     "iopub.status.busy": "2021-03-01T03:33:14.917090Z",
     "iopub.status.idle": "2021-03-01T03:33:15.919383Z",
     "shell.execute_reply": "2021-03-01T03:33:15.918695Z"
    },
    "papermill": {
     "duration": 1.040514,
     "end_time": "2021-03-01T03:33:15.919509",
     "exception": false,
     "start_time": "2021-03-01T03:33:14.878995",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "x_train, x_test, y_train, y_test = train_test_split(X, y, test_size = 0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-01T03:33:15.990638Z",
     "iopub.status.busy": "2021-03-01T03:33:15.989782Z",
     "iopub.status.idle": "2021-03-01T03:33:16.300898Z",
     "shell.execute_reply": "2021-03-01T03:33:16.300231Z"
    },
    "papermill": {
     "duration": 0.349061,
     "end_time": "2021-03-01T03:33:16.301056",
     "exception": false,
     "start_time": "2021-03-01T03:33:15.951995",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.tree import DecisionTreeRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create empty dictionaries to store the models\n",
    "lr_models = {}\n",
    "tree_models = {}\n",
    "\n",
    "# Iterate over the columns of x_train and y_train\n",
    "for i in range(x_train.shape[1]):\n",
    "    column_x = x_train[:, i]\n",
    "    column_y = y_train[:, i]\n",
    "\n",
    "    # Train Linear Regression model\n",
    "    lr_model = LinearRegression().fit(column_x.reshape(-1, 1), column_y.reshape(-1, 1))\n",
    "    lr_models[i] = lr_model\n",
    "    \n",
    "    # Train Decision Tree Regression model\n",
    "    tree_model = DecisionTreeRegressor().fit(column_x.reshape(-1, 1), column_y.reshape(-1, 1))\n",
    "    tree_models[i] = tree_model"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prediction using Linear Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-01T03:33:16.508383Z",
     "iopub.status.busy": "2021-03-01T03:33:16.507633Z",
     "iopub.status.idle": "2021-03-01T03:33:16.512982Z",
     "shell.execute_reply": "2021-03-01T03:33:16.512384Z"
    },
    "papermill": {
     "duration": 0.049952,
     "end_time": "2021-03-01T03:33:16.513116",
     "exception": false,
     "start_time": "2021-03-01T03:33:16.463164",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100, 2)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_future = df2.drop(columns, axis = 1)[:-future_days]\n",
    "x_future = x_future.tail(future_days)\n",
    "x_future = np.array(x_future)\n",
    "x_future.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-01T03:33:16.671666Z",
     "iopub.status.busy": "2021-03-01T03:33:16.670732Z",
     "iopub.status.idle": "2021-03-01T03:33:16.674381Z",
     "shell.execute_reply": "2021-03-01T03:33:16.675178Z"
    },
    "papermill": {
     "duration": 0.046292,
     "end_time": "2021-03-01T03:33:16.675392",
     "exception": false,
     "start_time": "2021-03-01T03:33:16.629100",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[135.02852623]\n",
      " [137.39275413]\n",
      " [136.80169984]\n",
      " [135.09806045]\n",
      " [135.44574229]\n",
      " [135.87685658]\n",
      " [136.00203215]\n",
      " [134.96595458]\n",
      " [136.53050941]\n",
      " [137.12156907]\n",
      " [139.13813664]\n",
      " [139.3536911 ]\n",
      " [140.52886399]\n",
      " [142.2394552 ]\n",
      " [144.07519509]\n",
      " [142.85136491]\n",
      " [145.06957794]\n",
      " [143.40071372]\n",
      " [145.11826748]\n",
      " [144.88183072]\n",
      " [145.35467199]\n",
      " [144.15171337]\n",
      " [144.42289305]\n",
      " [143.33812056]\n",
      " [144.99310267]\n",
      " [145.27125029]\n",
      " [145.04177071]\n",
      " [144.47852903]\n",
      " [144.40898944]\n",
      " [143.00434771]\n",
      " [143.75533661]\n",
      " [140.49407807]\n",
      " [140.66794318]\n",
      " [141.80833552]\n",
      " [142.28895121]\n",
      " [139.94854657]\n",
      " [139.29380231]\n",
      " [137.10663854]\n",
      " [138.63904731]\n",
      " [140.36647232]\n",
      " [139.54455669]\n",
      " [138.55545893]\n",
      " [138.44400955]\n",
      " [140.26895882]\n",
      " [138.95944881]\n",
      " [140.12268588]\n",
      " [139.98338088]\n",
      " [139.94854657]\n",
      " [138.85497275]\n",
      " [138.38828755]\n",
      " [138.15842086]\n",
      " [138.70173187]\n",
      " [137.64298161]\n",
      " [139.27987181]\n",
      " [139.28683975]\n",
      " [139.87192613]\n",
      " [140.14357894]\n",
      " [139.43310731]\n",
      " [140.29681982]\n",
      " [142.47702103]\n",
      " [141.89190777]\n",
      " [142.24714358]\n",
      " [143.3894876 ]\n",
      " [142.46308515]\n",
      " [143.74472341]\n",
      " [144.91491767]\n",
      " [144.71990142]\n",
      " [144.51788498]\n",
      " [144.30893285]\n",
      " [145.47214842]\n",
      " [146.5518025 ]\n",
      " [146.99063206]\n",
      " [147.20654137]\n",
      " [149.08026083]\n",
      " [150.51516147]\n",
      " [152.29134054]\n",
      " [151.3649381 ]\n",
      " [152.66748017]\n",
      " [152.24257573]\n",
      " [153.03664111]\n",
      " [155.48150569]\n",
      " [155.01482587]\n",
      " [153.55905368]\n",
      " [150.81466453]\n",
      " [153.39188768]\n",
      " [152.8694536 ]\n",
      " [153.84463162]\n",
      " [155.07053712]\n",
      " [155.37007244]\n",
      " [153.82373855]\n",
      " [152.57690773]\n",
      " [153.03664111]\n",
      " [153.18988199]\n",
      " [152.95304736]\n",
      " [154.23471787]\n",
      " [153.94910768]\n",
      " [154.02574424]\n",
      " [153.53741866]\n",
      " [153.50254671]\n",
      " [153.16073063]]\n",
      "[[263.30161651]\n",
      " [266.95380129]\n",
      " [265.06133266]\n",
      " [257.36350131]\n",
      " [259.80633911]\n",
      " [254.57306949]\n",
      " [252.78198291]\n",
      " [258.65492631]\n",
      " [266.45412867]\n",
      " [264.96235947]\n",
      " [272.03500336]\n",
      " [272.1725846 ]\n",
      " [267.18794686]\n",
      " [270.28494475]\n",
      " [268.64834563]\n",
      " [274.67335658]\n",
      " [289.23864781]\n",
      " [281.97530622]\n",
      " [283.57329728]\n",
      " [283.79778532]\n",
      " [277.72690659]\n",
      " [278.7793462 ]\n",
      " [284.84539616]\n",
      " [278.94831996]\n",
      " [281.29218457]\n",
      " [283.41638991]\n",
      " [275.33958306]\n",
      " [272.84363985]\n",
      " [268.64351686]\n",
      " [276.47410069]\n",
      " [270.55047179]\n",
      " [267.82280292]\n",
      " [267.18070924]\n",
      " [265.39444038]\n",
      " [267.5258944 ]\n",
      " [257.06659279]\n",
      " [254.2085803 ]\n",
      " [247.61630501]\n",
      " [243.22306441]\n",
      " [247.58009477]\n",
      " [244.46379286]\n",
      " [244.7148336 ]\n",
      " [241.23645136]\n",
      " [246.86559164]\n",
      " [245.44140312]\n",
      " [251.61125504]\n",
      " [251.18883167]\n",
      " [254.67445154]\n",
      " [257.50351351]\n",
      " [256.14449679]\n",
      " [255.82586434]\n",
      " [251.29262258]\n",
      " [243.50065785]\n",
      " [249.82740609]\n",
      " [251.29504249]\n",
      " [250.92330462]\n",
      " [249.76223429]\n",
      " [252.4995607 ]\n",
      " [252.44403538]\n",
      " [254.32685752]\n",
      " [249.90223544]\n",
      " [251.23227954]\n",
      " [254.06375038]\n",
      " [255.68345432]\n",
      " [255.08480851]\n",
      " [255.7800076 ]\n",
      " [263.71198453]\n",
      " [269.32422965]\n",
      " [267.40519727]\n",
      " [271.47256779]\n",
      " [269.55112655]\n",
      " [269.29525704]\n",
      " [268.86558499]\n",
      " [269.10215047]\n",
      " [264.43855405]\n",
      " [260.83464592]\n",
      " [262.8043638 ]\n",
      " [263.80370905]\n",
      " [270.74357836]\n",
      " [266.6013785 ]\n",
      " [262.94195609]\n",
      " [262.27090084]\n",
      " [260.73085501]\n",
      " [261.21362142]\n",
      " [264.66063323]\n",
      " [263.40299856]\n",
      " [261.94743961]\n",
      " [260.52809091]\n",
      " [263.96543414]\n",
      " [260.86602739]\n",
      " [261.39708149]\n",
      " [268.72800375]\n",
      " [271.10565869]\n",
      " [276.52962601]\n",
      " [276.54652118]\n",
      " [276.83135225]\n",
      " [277.72690659]\n",
      " [273.97816853]\n",
      " [277.51689381]\n",
      " [276.60686422]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr_prediction = {}\n",
    "for i in range(x_future.shape[1]):\n",
    "    lr_prediction[i] = lr_models[i].predict(x_future[:,i].reshape(-1, 1))\n",
    "    print(lr_prediction[i])\n",
    "len(lr_prediction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "predictions2 = {}\n",
    "valid2 = df2[X.shape[0]:]\n",
    "for i in range(x_future.shape[1]):\n",
    "    predictions2[i] = lr_prediction[i]\n",
    "    symbol=symbols[i]\n",
    "    column_name = \"Test_Prediction_{}\".format(symbol)  # Generate column name based on the symbol\n",
    "    valid2[column_name] = predictions2[i]  # Append column name to list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The MSE is  123.64785954058826\n",
      "The RMSE is  11.119705910705925\n",
      "The MAE is  8.965379932181195\n",
      "The mean is 153.17100875854493\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The MSE is  4936.715331874017\n",
      "The RMSE is  70.26176294311165\n",
      "The MAE is  58.04264506026259\n",
      "The mean is 302.58453369140625\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.metrics import r2_score\n",
    "\n",
    "mse = rmse = mae = r2 = 0\n",
    "\n",
    "\n",
    "for symbol in symbols:\n",
    "    test_symbol = \"Test_Prediction_{}\".format(symbol)  # Generate column name based on the symbol\n",
    "    plt.figure(figsize=(16,8))\n",
    "    plt.title(symbol)\n",
    "    plt.xlabel(\"Days\")\n",
    "    plt.ylabel(\"Close Price USD ($)\")\n",
    "    plt.plot(df2[symbol])\n",
    "    plt.plot(valid2[[symbol,test_symbol]])\n",
    "    rmse = np.sqrt(mse)\n",
    "    plt.legend([\"Original\", \"Valid\", \"Predicted\"])\n",
    "    plt.show()\n",
    "    mae = mean_absolute_error(valid2[symbol], valid2[test_symbol])\n",
    "    mse = mean_squared_error(valid2[symbol], valid2[test_symbol])\n",
    "    rmse = np.sqrt(mse)\n",
    "    print(\"The MSE is \", mse)\n",
    "    print(\"The RMSE is \", rmse)\n",
    "    print(\"The MAE is \", mae)\n",
    "    print(\"The mean is\", (valid2[symbol].mean()))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prediction using Decision Trees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-01T03:33:16.590328Z",
     "iopub.status.busy": "2021-03-01T03:33:16.589404Z",
     "iopub.status.idle": "2021-03-01T03:33:16.593987Z",
     "shell.execute_reply": "2021-03-01T03:33:16.593114Z"
    },
    "papermill": {
     "duration": 0.047546,
     "end_time": "2021-03-01T03:33:16.594162",
     "exception": false,
     "start_time": "2021-03-01T03:33:16.546616",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[144.38653564 130.78265381 147.59379578 149.59339905 148.67279053\n",
      " 144.88148499 145.2180481  143.8344574  148.19764709 148.10853577\n",
      " 146.86126709 146.04954529 147.09886169 149.97035217 150.29621887\n",
      " 150.96934509 152.09783936 152.74125671 155.10714722 153.54309082\n",
      " 152.51358032 147.46511841 148.03924561 146.62368774 147.52449036\n",
      " 147.28692627 152.09783936 141.49604797 141.98106384 150.96934509\n",
      " 145.34677124 145.43582153 143.90148926 143.95307922 141.38713074\n",
      " 142.57006836 141.20896912 137.73442078 139.68450928 124.45161438\n",
      " 141.84249878 141.4564209  141.36732483 140.08047485 139.48652649\n",
      " 142.30773926 142.57006836 142.57006836 147.25721741 147.75216675\n",
      " 147.9699707  147.1879425  147.13842773 147.34632874 147.34632874\n",
      " 151.02874756 148.28672791 147.45523071 148.50450134 149.95967102\n",
      " 149.43501282 149.97035217 149.13760376 149.50440979 145.34677124\n",
      " 146.58985901 148.69151306 148.70141602 141.98106384 152.16120911\n",
      " 123.97715759 159.16007996 159.62600708 160.01264954 160.53805542\n",
      " 155.45245361 158.85276794 163.86897278 163.34355164 165.31137848\n",
      " 160.43888855 163.88879395 169.69802856 173.56430054 173.04878235\n",
      " 165.31137848 174.21858215 172.82078552 177.74775696 170.76869202\n",
      " 163.86897278 165.31137848 171.49238586 165.31137848 174.75390625\n",
      " 177.73783875 177.73783875 177.82705688 176.65727234 171.49238586]\n",
      "[235.94000244 263.78668213 239.05667114 228.72332764 221.90333557\n",
      " 229.66333008 224.49000549 205.7333374  235.43333435 236.16333008\n",
      " 237.06666565 233.72000122 237.30667114 251.21333313 245.24000549\n",
      " 244.69667053 244.13000488 244.52333069 250.97332764 251.28999329\n",
      " 307.22166443 245.42333984 247.66667175 248.16333008 251.94332886\n",
      " 252.33000183 206.37666321 243.38999939 246.46000671 355.66665649\n",
      " 251.21333313 258.13000488 263.78668213 193.62666321 260.43667603\n",
      " 258.49334717 258.40667725 260.51000977 260.19665527 260.51000977\n",
      " 264.53668213 261.82998657 263.98001099 268.57333374 270.35998535\n",
      " 272.77334595 407.36334229 290.03668213 288.08999634 288.6000061\n",
      " 298.         303.22665405 341.61999512 236.47999573 345.95333862\n",
      " 359.01333618 371.33334351 402.86334229 390.66665649 404.61999512\n",
      " 409.97000122 407.36334229 387.64666748 341.16665649 214.92666626\n",
      " 354.50332642 344.47332764 337.79666138 260.43667603 363.00332642\n",
      " 337.79666138 379.01998901 385.62332153 369.67666626 372.\n",
      " 360.64001465 378.99667358 381.58666992 365.         361.5333252\n",
      " 338.32333374 336.33666992 350.58334351 356.32000732 334.6000061\n",
      " 235.94000244 322.13665771 319.50332642 325.32998657 308.97332764\n",
      " 356.32000732 299.98001099 312.84332275 355.66665649 355.66665649\n",
      " 355.66665649 307.22166443 362.06332397 356.77999878 355.66665649]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tree_prediction = {}\n",
    "for i in range(x_future.shape[1]):\n",
    "    tree_prediction[i] = tree_models[i].predict(x_future[:,i].reshape(-1, 1))\n",
    "    print(tree_prediction[i])\n",
    "len(tree_prediction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-01T03:33:16.754070Z",
     "iopub.status.busy": "2021-03-01T03:33:16.753217Z",
     "iopub.status.idle": "2021-03-01T03:33:16.756754Z",
     "shell.execute_reply": "2021-03-01T03:33:16.757290Z"
    },
    "papermill": {
     "duration": 0.045544,
     "end_time": "2021-03-01T03:33:16.757444",
     "exception": false,
     "start_time": "2021-03-01T03:33:16.711900",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "predictions = {}\n",
    "valid = df2[X.shape[0]:]\n",
    "for i in range(x_future.shape[1]):\n",
    "    predictions[i] = tree_prediction[i]\n",
    "    symbol=symbols[i]\n",
    "    column_name = \"Test_Prediction_{}\".format(symbol)  # Generate column name based on the symbol\n",
    "    valid[column_name] = predictions[i]  # Append column name to list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-01T03:33:16.840648Z",
     "iopub.status.busy": "2021-03-01T03:33:16.834812Z",
     "iopub.status.idle": "2021-03-01T03:33:17.057590Z",
     "shell.execute_reply": "2021-03-01T03:33:17.056886Z"
    },
    "papermill": {
     "duration": 0.264674,
     "end_time": "2021-03-01T03:33:17.057718",
     "exception": false,
     "start_time": "2021-03-01T03:33:16.793044",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The MSE is  20.99311733729206\n",
      "The RMSE is  4.581824673347078\n",
      "The MAE is  1.4125480651855469\n",
      "The mean is 153.17100875854493\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The MSE is  934.2975669132476\n",
      "The RMSE is  30.566281535594864\n",
      "The MAE is  10.501166229248048\n",
      "The mean is 302.58453369140625\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.metrics import r2_score\n",
    "\n",
    "mse = rmse = mae = r2 = 0\n",
    "\n",
    "\n",
    "for symbol in symbols:\n",
    "    test_symbol = \"Test_Prediction_{}\".format(symbol)  # Generate column name based on the symbol\n",
    "    plt.figure(figsize=(16,8))\n",
    "    plt.title(symbol)\n",
    "    plt.xlabel(\"Days\")\n",
    "    plt.ylabel(\"Close Price USD ($)\")\n",
    "    plt.plot(df2[symbol])\n",
    "    plt.plot(valid[[symbol,test_symbol]])\n",
    "    plt.legend([\"Original\", \"Valid\", \"Predicted\"])\n",
    "    plt.show()\n",
    "    mae = mean_absolute_error(valid[symbol], valid[test_symbol])\n",
    "    mse = mean_squared_error(valid[symbol], valid[test_symbol])\n",
    "    rmse = np.sqrt(mse)\n",
    "    print(\"The MSE is \", mse)\n",
    "    print(\"The RMSE is \", rmse)\n",
    "    print(\"The MAE is \", mae)\n",
    "    print(\"The mean is\", (valid[symbol].mean()))\n"
   ]
  },
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