ML_stock_prediction.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Stock Prediction/Tracker with Pytorch\n",
    "Track and predict [GCL.TO](https://ca.finance.yahoo.com/quote/CGL.TO?p=CGL.TO&.tsrc=fin-srch)\n",
    "## Resources used in this project\n",
    "- [Pytorch LSTM model Youtube](https://www.youtube.com/watch?v=CbTU92pbDKw)\n",
    "- [Pytorch LSTM documentation](https://pytorch.org/docs/stable/generated/torch.nn.LSTM.html)\n",
    "- [Pytorch LSTM Youtube 2](https://www.youtube.com/watch?v=J_ksCv_r_rU)\n",
    "- [LSTM Model](https://machinelearningmastery.com/lstm-for-time-series-prediction-in-pytorch/)\n",
    "- [LSTM Explaination](https://cnvrg.io/pytorch-lstm/)\n",
    "- [code_lstm](https://colab.research.google.com/drive/1CBIdPxHn_W2ARx4VozRLIptBrXk7ZBoM?usp=sharing#scrollTo=-Xon2PHWno7t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import yfinance as yf\n",
    "GCL = yf.Ticker(\"CGL.TO\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Dividends</th>\n",
       "      <th>Stock Splits</th>\n",
       "      <th>Capital Gains</th>\n",
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       "      <th>Date</th>\n",
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       "      <th>2021-02-22 00:00:00-05:00</th>\n",
       "      <td>14.850000</td>\n",
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       "      <td>14.85</td>\n",
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       "      <th>2021-02-23 00:00:00-05:00</th>\n",
       "      <td>14.940000</td>\n",
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       "      <td>14.82</td>\n",
       "      <td>14.91</td>\n",
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       "    <tr>\n",
       "      <th>2021-02-24 00:00:00-05:00</th>\n",
       "      <td>14.800000</td>\n",
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       "      <th>2021-02-25 00:00:00-05:00</th>\n",
       "      <td>14.750000</td>\n",
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       "      <td>14.61</td>\n",
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       "      <th>2021-02-26 00:00:00-05:00</th>\n",
       "      <td>14.550000</td>\n",
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       "    <tr>\n",
       "      <th>2024-02-13 00:00:00-05:00</th>\n",
       "      <td>16.040001</td>\n",
       "      <td>16.040001</td>\n",
       "      <td>15.92</td>\n",
       "      <td>15.93</td>\n",
       "      <td>23000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2024-02-14 00:00:00-05:00</th>\n",
       "      <td>15.910000</td>\n",
       "      <td>15.950000</td>\n",
       "      <td>15.88</td>\n",
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       "      <th>2024-02-15 00:00:00-05:00</th>\n",
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       "      <th>2024-02-16 00:00:00-05:00</th>\n",
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       "      <th>2024-02-20 00:00:00-05:00</th>\n",
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       "                                Open       High    Low  Close  Volume  \\\n",
       "Date                                                                    \n",
       "2021-02-22 00:00:00-05:00  14.850000  14.960000  14.85  14.92   80300   \n",
       "2021-02-23 00:00:00-05:00  14.940000  14.960000  14.82  14.91   37100   \n",
       "2021-02-24 00:00:00-05:00  14.800000  14.870000  14.75  14.85   55200   \n",
       "2021-02-25 00:00:00-05:00  14.750000  14.770000  14.61  14.61  137800   \n",
       "2021-02-26 00:00:00-05:00  14.550000  14.550000  14.13  14.28  563800   \n",
       "...                              ...        ...    ...    ...     ...   \n",
       "2024-02-13 00:00:00-05:00  16.040001  16.040001  15.92  15.93   23000   \n",
       "2024-02-14 00:00:00-05:00  15.910000  15.950000  15.88  15.92   34200   \n",
       "2024-02-15 00:00:00-05:00  16.000000  16.030001  16.00  16.01    4400   \n",
       "2024-02-16 00:00:00-05:00  15.940000  16.090000  15.94  16.07   31300   \n",
       "2024-02-20 00:00:00-05:00  16.200001  16.209999  16.16  16.18   18789   \n",
       "\n",
       "                           Dividends  Stock Splits  Capital Gains  \n",
       "Date                                                               \n",
       "2021-02-22 00:00:00-05:00        0.0           0.0            0.0  \n",
       "2021-02-23 00:00:00-05:00        0.0           0.0            0.0  \n",
       "2021-02-24 00:00:00-05:00        0.0           0.0            0.0  \n",
       "2021-02-25 00:00:00-05:00        0.0           0.0            0.0  \n",
       "2021-02-26 00:00:00-05:00        0.0           0.0            0.0  \n",
       "...                              ...           ...            ...  \n",
       "2024-02-13 00:00:00-05:00        0.0           0.0            0.0  \n",
       "2024-02-14 00:00:00-05:00        0.0           0.0            0.0  \n",
       "2024-02-15 00:00:00-05:00        0.0           0.0            0.0  \n",
       "2024-02-16 00:00:00-05:00        0.0           0.0            0.0  \n",
       "2024-02-20 00:00:00-05:00        0.0           0.0            0.0  \n",
       "\n",
       "[752 rows x 8 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gcl_df = GCL.history(interval=\"1d\",period=\"3y\")\n",
    "gcl_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                        0           1\n",
      "0              Net Assets     915.98M\n",
      "1                     NAV       15.98\n",
      "2          PE Ratio (TTM)         NaN\n",
      "3                   Yield       0.00%\n",
      "4  YTD Daily Total Return      -2.61%\n",
      "5       Beta (5Y Monthly)        0.00\n",
      "6     Expense Ratio (net)       0.00%\n",
      "7          Inception Date  2011-03-31\n"
     ]
    }
   ],
   "source": [
    "insitutional_holders_gcl = GCL.get_institutional_holders()\n",
    "print(insitutional_holders_gcl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 752 entries, 2021-02-22 00:00:00-05:00 to 2024-02-20 00:00:00-05:00\n",
      "Data columns (total 8 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   Open           752 non-null    float64\n",
      " 1   High           752 non-null    float64\n",
      " 2   Low            752 non-null    float64\n",
      " 3   Close          752 non-null    float64\n",
      " 4   Volume         752 non-null    int64  \n",
      " 5   Dividends      752 non-null    float64\n",
      " 6   Stock Splits   752 non-null    float64\n",
      " 7   Capital Gains  752 non-null    float64\n",
      "dtypes: float64(7), int64(1)\n",
      "memory usage: 52.9 KB\n"
     ]
    }
   ],
   "source": [
    "gcl_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
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           "bgcolor": "#E5ECF6",
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            "linecolor": "white",
            "ticks": ""
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          },
          "title": {
           "x": 0.05
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          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
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           },
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           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
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            "standoff": 15
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           "zerolinewidth": 2
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        },
        "title": {
         "text": "GCL chart"
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        "xaxis": {
         "title": {
          "text": "Date"
         }
        },
        "yaxis": {
         "title": {
          "text": "Price"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.graph_objects as go\n",
    "from plotly.offline import plot\n",
    "from IPython.display import display, HTML\n",
    "gcl_plot = go.Figure(go.Ohlc(x=gcl_df.index,\n",
    "                  open=gcl_df[\"Open\"]\n",
    "                  ,close=gcl_df[\"Close\"],\n",
    "                  low=gcl_df[\"Low\"],\n",
    "                  high=gcl_df[\"High\"]))\n",
    "\n",
    "\n",
    "gcl_plot.update_layout(title_text='GCL chart', xaxis_title='Date', yaxis_title='Price')\n",
    "\n",
    "display(gcl_plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-02-22 00:00:00-05:00</th>\n",
       "      <td>14.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-23 00:00:00-05:00</th>\n",
       "      <td>14.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-24 00:00:00-05:00</th>\n",
       "      <td>14.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-25 00:00:00-05:00</th>\n",
       "      <td>14.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-26 00:00:00-05:00</th>\n",
       "      <td>14.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-13 00:00:00-05:00</th>\n",
       "      <td>15.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-14 00:00:00-05:00</th>\n",
       "      <td>15.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-15 00:00:00-05:00</th>\n",
       "      <td>16.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-16 00:00:00-05:00</th>\n",
       "      <td>16.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-20 00:00:00-05:00</th>\n",
       "      <td>16.18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>752 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Close\n",
       "Date                            \n",
       "2021-02-22 00:00:00-05:00  14.92\n",
       "2021-02-23 00:00:00-05:00  14.91\n",
       "2021-02-24 00:00:00-05:00  14.85\n",
       "2021-02-25 00:00:00-05:00  14.61\n",
       "2021-02-26 00:00:00-05:00  14.28\n",
       "...                          ...\n",
       "2024-02-13 00:00:00-05:00  15.93\n",
       "2024-02-14 00:00:00-05:00  15.92\n",
       "2024-02-15 00:00:00-05:00  16.01\n",
       "2024-02-16 00:00:00-05:00  16.07\n",
       "2024-02-20 00:00:00-05:00  16.18\n",
       "\n",
       "[752 rows x 1 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "closing_gcl = gcl_df[[\"Close\"]]\n",
    "closing_gcl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "plt.figure(figsize=(15, 10))\n",
    "gcl_closing_plot = sns.lineplot(data=closing_gcl, y=\"Close\", x=closing_gcl.index)   ##.set_ylim(0,18.0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "      <th>Current Day-1</th>\n",
       "      <th>Current Day-2</th>\n",
       "      <th>Current Day-3</th>\n",
       "      <th>Current Day-4</th>\n",
       "      <th>Current Day-5</th>\n",
       "      <th>Current Day-6</th>\n",
       "      <th>Current Day-7</th>\n",
       "      <th>Current Day-8</th>\n",
       "      <th>Current Day-9</th>\n",
       "      <th>Current Day-10</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-03-08 00:00:00-05:00</th>\n",
       "      <td>13.89</td>\n",
       "      <td>14.04</td>\n",
       "      <td>14.01</td>\n",
       "      <td>14.14</td>\n",
       "      <td>14.31</td>\n",
       "      <td>14.23</td>\n",
       "      <td>14.280000</td>\n",
       "      <td>14.610000</td>\n",
       "      <td>14.850000</td>\n",
       "      <td>14.910000</td>\n",
       "      <td>14.920000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-09 00:00:00-05:00</th>\n",
       "      <td>14.16</td>\n",
       "      <td>13.89</td>\n",
       "      <td>14.04</td>\n",
       "      <td>14.01</td>\n",
       "      <td>14.14</td>\n",
       "      <td>14.31</td>\n",
       "      <td>14.230000</td>\n",
       "      <td>14.280000</td>\n",
       "      <td>14.610000</td>\n",
       "      <td>14.850000</td>\n",
       "      <td>14.910000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-10 00:00:00-05:00</th>\n",
       "      <td>14.27</td>\n",
       "      <td>14.16</td>\n",
       "      <td>13.89</td>\n",
       "      <td>14.04</td>\n",
       "      <td>14.01</td>\n",
       "      <td>14.14</td>\n",
       "      <td>14.310000</td>\n",
       "      <td>14.230000</td>\n",
       "      <td>14.280000</td>\n",
       "      <td>14.610000</td>\n",
       "      <td>14.850000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-11 00:00:00-05:00</th>\n",
       "      <td>14.24</td>\n",
       "      <td>14.27</td>\n",
       "      <td>14.16</td>\n",
       "      <td>13.89</td>\n",
       "      <td>14.04</td>\n",
       "      <td>14.01</td>\n",
       "      <td>14.140000</td>\n",
       "      <td>14.310000</td>\n",
       "      <td>14.230000</td>\n",
       "      <td>14.280000</td>\n",
       "      <td>14.610000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-12 00:00:00-05:00</th>\n",
       "      <td>14.23</td>\n",
       "      <td>14.24</td>\n",
       "      <td>14.27</td>\n",
       "      <td>14.16</td>\n",
       "      <td>13.89</td>\n",
       "      <td>14.04</td>\n",
       "      <td>14.010000</td>\n",
       "      <td>14.140000</td>\n",
       "      <td>14.310000</td>\n",
       "      <td>14.230000</td>\n",
       "      <td>14.280000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-13 00:00:00-05:00</th>\n",
       "      <td>15.93</td>\n",
       "      <td>16.15</td>\n",
       "      <td>16.18</td>\n",
       "      <td>16.26</td>\n",
       "      <td>16.26</td>\n",
       "      <td>16.27</td>\n",
       "      <td>16.200001</td>\n",
       "      <td>16.280001</td>\n",
       "      <td>16.420000</td>\n",
       "      <td>16.260000</td>\n",
       "      <td>16.299999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-14 00:00:00-05:00</th>\n",
       "      <td>15.92</td>\n",
       "      <td>15.93</td>\n",
       "      <td>16.15</td>\n",
       "      <td>16.18</td>\n",
       "      <td>16.26</td>\n",
       "      <td>16.26</td>\n",
       "      <td>16.270000</td>\n",
       "      <td>16.200001</td>\n",
       "      <td>16.280001</td>\n",
       "      <td>16.420000</td>\n",
       "      <td>16.260000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-15 00:00:00-05:00</th>\n",
       "      <td>16.01</td>\n",
       "      <td>15.92</td>\n",
       "      <td>15.93</td>\n",
       "      <td>16.15</td>\n",
       "      <td>16.18</td>\n",
       "      <td>16.26</td>\n",
       "      <td>16.260000</td>\n",
       "      <td>16.270000</td>\n",
       "      <td>16.200001</td>\n",
       "      <td>16.280001</td>\n",
       "      <td>16.420000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-16 00:00:00-05:00</th>\n",
       "      <td>16.07</td>\n",
       "      <td>16.01</td>\n",
       "      <td>15.92</td>\n",
       "      <td>15.93</td>\n",
       "      <td>16.15</td>\n",
       "      <td>16.18</td>\n",
       "      <td>16.260000</td>\n",
       "      <td>16.260000</td>\n",
       "      <td>16.270000</td>\n",
       "      <td>16.200001</td>\n",
       "      <td>16.280001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-20 00:00:00-05:00</th>\n",
       "      <td>16.18</td>\n",
       "      <td>16.07</td>\n",
       "      <td>16.01</td>\n",
       "      <td>15.92</td>\n",
       "      <td>15.93</td>\n",
       "      <td>16.15</td>\n",
       "      <td>16.180000</td>\n",
       "      <td>16.260000</td>\n",
       "      <td>16.260000</td>\n",
       "      <td>16.270000</td>\n",
       "      <td>16.200001</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>742 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Close  Current Day-1  Current Day-2  Current Day-3  \\\n",
       "Date                                                                            \n",
       "2021-03-08 00:00:00-05:00  13.89          14.04          14.01          14.14   \n",
       "2021-03-09 00:00:00-05:00  14.16          13.89          14.04          14.01   \n",
       "2021-03-10 00:00:00-05:00  14.27          14.16          13.89          14.04   \n",
       "2021-03-11 00:00:00-05:00  14.24          14.27          14.16          13.89   \n",
       "2021-03-12 00:00:00-05:00  14.23          14.24          14.27          14.16   \n",
       "...                          ...            ...            ...            ...   \n",
       "2024-02-13 00:00:00-05:00  15.93          16.15          16.18          16.26   \n",
       "2024-02-14 00:00:00-05:00  15.92          15.93          16.15          16.18   \n",
       "2024-02-15 00:00:00-05:00  16.01          15.92          15.93          16.15   \n",
       "2024-02-16 00:00:00-05:00  16.07          16.01          15.92          15.93   \n",
       "2024-02-20 00:00:00-05:00  16.18          16.07          16.01          15.92   \n",
       "\n",
       "                           Current Day-4  Current Day-5  Current Day-6  \\\n",
       "Date                                                                     \n",
       "2021-03-08 00:00:00-05:00          14.31          14.23      14.280000   \n",
       "2021-03-09 00:00:00-05:00          14.14          14.31      14.230000   \n",
       "2021-03-10 00:00:00-05:00          14.01          14.14      14.310000   \n",
       "2021-03-11 00:00:00-05:00          14.04          14.01      14.140000   \n",
       "2021-03-12 00:00:00-05:00          13.89          14.04      14.010000   \n",
       "...                                  ...            ...            ...   \n",
       "2024-02-13 00:00:00-05:00          16.26          16.27      16.200001   \n",
       "2024-02-14 00:00:00-05:00          16.26          16.26      16.270000   \n",
       "2024-02-15 00:00:00-05:00          16.18          16.26      16.260000   \n",
       "2024-02-16 00:00:00-05:00          16.15          16.18      16.260000   \n",
       "2024-02-20 00:00:00-05:00          15.93          16.15      16.180000   \n",
       "\n",
       "                           Current Day-7  Current Day-8  Current Day-9  \\\n",
       "Date                                                                     \n",
       "2021-03-08 00:00:00-05:00      14.610000      14.850000      14.910000   \n",
       "2021-03-09 00:00:00-05:00      14.280000      14.610000      14.850000   \n",
       "2021-03-10 00:00:00-05:00      14.230000      14.280000      14.610000   \n",
       "2021-03-11 00:00:00-05:00      14.310000      14.230000      14.280000   \n",
       "2021-03-12 00:00:00-05:00      14.140000      14.310000      14.230000   \n",
       "...                                  ...            ...            ...   \n",
       "2024-02-13 00:00:00-05:00      16.280001      16.420000      16.260000   \n",
       "2024-02-14 00:00:00-05:00      16.200001      16.280001      16.420000   \n",
       "2024-02-15 00:00:00-05:00      16.270000      16.200001      16.280001   \n",
       "2024-02-16 00:00:00-05:00      16.260000      16.270000      16.200001   \n",
       "2024-02-20 00:00:00-05:00      16.260000      16.260000      16.270000   \n",
       "\n",
       "                           Current Day-10  \n",
       "Date                                       \n",
       "2021-03-08 00:00:00-05:00       14.920000  \n",
       "2021-03-09 00:00:00-05:00       14.910000  \n",
       "2021-03-10 00:00:00-05:00       14.850000  \n",
       "2021-03-11 00:00:00-05:00       14.610000  \n",
       "2021-03-12 00:00:00-05:00       14.280000  \n",
       "...                                   ...  \n",
       "2024-02-13 00:00:00-05:00       16.299999  \n",
       "2024-02-14 00:00:00-05:00       16.260000  \n",
       "2024-02-15 00:00:00-05:00       16.420000  \n",
       "2024-02-16 00:00:00-05:00       16.280001  \n",
       "2024-02-20 00:00:00-05:00       16.200001  \n",
       "\n",
       "[742 rows x 11 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from copy import deepcopy as dc\n",
    "\n",
    "def df_lstm(df, n_steps):\n",
    "    df_pre = dc(df)\n",
    "\n",
    "    df_pre.set_index(df.index, inplace=True)\n",
    "\n",
    "    for i in range(1, n_steps + 1):\n",
    "        df_pre[f'Current Day-{i}'] = df_pre[\"Close\"].shift(i)\n",
    "\n",
    "    df_pre.dropna(inplace=True)\n",
    "\n",
    "    return df_pre\n",
    "\n",
    "\n",
    "\n",
    "lookback = 10   #show data from previous 10 business days\n",
    "modified_df = df_lstm(closing_gcl, lookback)\n",
    "modified_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[14.03999996 14.01000023 14.14000034 ... 14.85000038 14.90999985\n",
      "  14.92000008]\n",
      " [13.89000034 14.03999996 14.01000023 ... 14.60999966 14.85000038\n",
      "  14.90999985]\n",
      " [14.15999985 13.89000034 14.03999996 ... 14.27999973 14.60999966\n",
      "  14.85000038]\n",
      " ...\n",
      " [15.92000008 15.93000031 16.14999962 ... 16.20000076 16.28000069\n",
      "  16.42000008]\n",
      " [16.01000023 15.92000008 15.93000031 ... 16.27000046 16.20000076\n",
      "  16.28000069]\n",
      " [16.06999969 16.01000023 15.92000008 ... 16.26000023 16.27000046\n",
      "  16.20000076]]\n",
      "\n",
      "\n",
      "[[0.20588244 0.24598928 0.23796796 ... 0.46256689 0.47860952 0.48128338]\n",
      " [0.2780748  0.20588244 0.24598928 ... 0.39839558 0.46256689 0.47860952]\n",
      " [0.30748672 0.2780748  0.20588244 ... 0.31016033 0.39839558 0.46256689]\n",
      " ...\n",
      " [0.77272721 0.74866301 0.75133686 ... 0.82352949 0.84491984 0.88235282]\n",
      " [0.78876985 0.77272721 0.74866301 ... 0.84224598 0.82352949 0.84491984]\n",
      " [0.81818177 0.78876985 0.77272721 ... 0.83957212 0.84224598 0.82352949]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "np_modified_df = modified_df.to_numpy()\n",
    "print(np_modified_df[:, 1:])\n",
    "print(\"\\n\")\n",
    "\n",
    "scaler = MinMaxScaler(feature_range=(0,1))\n",
    "rescaled_prices = scaler.fit_transform(np_modified_df)  #This is the data used to train our model.\n",
    "print(rescaled_prices)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(742, 10)\n",
      "(742,)\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "X = dc(np.flip(rescaled_prices[: ,1:], axis=1))\n",
    "Y = rescaled_prices[:, 0]\n",
    "\n",
    "print(X.shape)\n",
    "print(Y.shape)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(704, 10, 1)\n",
      "(704, 1)\n",
      "(38, 10, 1)\n",
      "(38, 1)\n"
     ]
    }
   ],
   "source": [
    "train_ratio = 0.95\n",
    "split_index = int(len(X) * train_ratio)\n",
    "\n",
    "X_train = X[:split_index].reshape((-1, lookback, 1))\n",
    "X_test = X[split_index:].reshape((-1, lookback, 1))\n",
    "\n",
    "Y_train = Y[:split_index].reshape((-1,1))\n",
    "Y_test = Y[split_index:].reshape((-1,1))\n",
    "\n",
    "print(X_train.shape)\n",
    "print(Y_train.shape)\n",
    "\n",
    "\n",
    "print(X_test.shape)\n",
    "print(Y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([38, 10, 1])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train = torch.tensor(X_train).float()\n",
    "X_test = torch.tensor(X_test).float()\n",
    "Y_train = torch.tensor(Y_train).float()\n",
    "Y_test = torch.tensor(Y_test).float()\n",
    "\n",
    "\n",
    "X_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch.utils.data import Dataset\n",
    "\n",
    "class TimeSeriesDataset(Dataset):\n",
    "    def __init__(self, X, Y):\n",
    "        self.X = X\n",
    "        self.Y = Y\n",
    "\n",
    "    def __len__(self):\n",
    "        return len(self.X)\n",
    "    \n",
    "    def __getitem__(self, i):\n",
    "        return self.X[i], self.Y[i]\n",
    "    \n",
    "train_data = TimeSeriesDataset(X_train, Y_train)\n",
    "test_data = TimeSeriesDataset(X_test, Y_test)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch.utils.data import DataLoader\n",
    "batch_size = 16\n",
    "train_loader = DataLoader(train_data, batch_size=batch_size, shuffle=True)\n",
    "test_loader = DataLoader(train_data, batch_size=batch_size, shuffle=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "class LSTM(nn.Module):\n",
    "    def __init__(self, input_size, hidden_size, num_layers, dropout_rate):\n",
    "        super().__init__()\n",
    "        self.hidden_size = hidden_size\n",
    "        self.num_layers = num_layers\n",
    "        self.lstm = nn.LSTM(input_size, hidden_size, num_layers, batch_first=True)\n",
    "        self.output_layer = nn.Linear(hidden_size, 1)\n",
    "        self.dropout = nn.Dropout(dropout_rate)\n",
    "    \n",
    "    def forward(self, X):\n",
    "        hidden_size = torch.zeros(self.num_layers, X.size(0), self.hidden_size)\n",
    "        cell_states = torch.zeros(self.num_layers, X.size(0), self.hidden_size)\n",
    "        out, _ = self.lstm(X, (hidden_size, cell_states))\n",
    "        out = self.dropout(out)\n",
    "        out = self.output_layer(out[:, -1, :])  #reshape tensor\n",
    "        return out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LSTM(\n",
       "  (lstm): LSTM(1, 20, num_layers=2, batch_first=True)\n",
       "  (output_layer): Linear(in_features=20, out_features=1, bias=True)\n",
       "  (dropout): Dropout(p=0.2, inplace=False)\n",
       ")"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "input_size = 1  \n",
    "hidden_size = 20  \n",
    "num_layers = 2  \n",
    "dropout_rate = 0.2\n",
    "model = LSTM(input_size, hidden_size, num_layers, dropout_rate)\n",
    "model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: 0, Loss: 0.36756\n",
      "Epoch: 100, Loss: 0.02473\n",
      "Epoch: 200, Loss: 0.00956\n",
      "Epoch: 300, Loss: 0.00818\n",
      "Epoch: 400, Loss: 0.00797\n",
      "Epoch: 500, Loss: 0.00739\n",
      "Epoch: 600, Loss: 0.00645\n",
      "Epoch: 700, Loss: 0.00584\n",
      "Epoch: 800, Loss: 0.00588\n",
      "Epoch: 900, Loss: 0.00543\n"
     ]
    }
   ],
   "source": [
    "optimizer = torch.optim.Adam(model.parameters(), lr=0.001)\n",
    "criterion = nn.MSELoss()\n",
    "\n",
    "num_epochs = 1000  # Adjust the number of epochs as needed\n",
    "\n",
    "for epoch in range(num_epochs):\n",
    "\n",
    "    outputs = model.forward(X_train) # Forward pass\n",
    "\n",
    "    optimizer.zero_grad() # Zero the gradients\n",
    "\n",
    "    loss = criterion(outputs, Y_train) # Calculate the loss\n",
    "\n",
    "    loss.backward()  # Backward pass\n",
    "\n",
    "    optimizer.step() # Update weights\n",
    "\n",
    "    if epoch % 100 == 0:\n",
    "        print(\"Epoch: %d, Loss: %1.5f\" % (epoch, loss.item()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model.eval()\n",
    "with torch.no_grad():\n",
    "    predicted = model(X_train)\n",
    "\n",
    "Y_train_np = Y_train.numpy()\n",
    "predicted_np = predicted.numpy()\n",
    "\n",
    "plt.figure(figsize=(12, 8))\n",
    "plt.plot(Y_train_np, label='True Values')\n",
    "plt.plot(predicted_np, label='Predicted Values')\n",
    "plt.title('True vs Predicted Values')\n",
    "plt.xlabel('Time Steps')\n",
    "plt.ylabel('Value')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "#X_train vs Y_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([14.05268029, 13.99143949, 14.02014419, 14.10656982, 14.18674049,\n",
       "       14.24047637, 14.29507885, 14.33006447, 14.37271056, 14.38360975,\n",
       "       14.40421549, 14.41172148, 14.38445618, 14.36248984, 14.3304645 ,\n",
       "       14.31541229, 14.26237438, 14.14790658, 14.0988321 , 14.12687127,\n",
       "       14.1845796 , 14.27609208, 14.3449097 , 14.44215973, 14.48164758,\n",
       "       14.45168895, 14.43184827, 14.39412763, 14.44403951, 14.53532605,\n",
       "       14.64603395, 14.71894029, 14.80501984, 14.83140336, 14.81819516,\n",
       "       14.79331668, 14.75839861, 14.73932322, 14.71937532, 14.67765469,\n",
       "       14.70420229, 14.71201535, 14.73302168, 14.83538831, 14.98254319,\n",
       "       15.12732809, 15.20651022, 15.19535635, 15.16405149, 15.17562936,\n",
       "       15.27439068, 15.37367899, 15.44096537, 15.501141  , 15.54526561,\n",
       "       15.61005951, 15.65817486, 15.67534383, 15.69223235, 15.72297188,\n",
       "       15.71665629, 15.69706663, 15.58264597, 15.53026323, 15.5351247 ,\n",
       "       15.56045593, 15.55176912, 15.56236502, 15.52370265, 15.43602253,\n",
       "       15.35758228, 15.20674161, 14.92075918, 14.66878375, 14.55831505,\n",
       "       14.52300764, 14.51499607, 14.53450871, 14.56716926, 14.6081177 ,\n",
       "       14.59343921, 14.58658772, 14.61061854, 14.66841058, 14.74017501,\n",
       "       14.81459665, 14.86289324, 14.89298362, 14.9086978 , 14.91947382,\n",
       "       14.96426431, 15.02232363, 15.01844881, 14.98600115, 14.95425636,\n",
       "       14.91423104, 14.88275198, 14.84387169, 14.81842343, 14.8095195 ,\n",
       "       14.82633201, 14.90622749, 14.9586031 , 14.96662861, 14.95925013,\n",
       "       14.91822312, 14.75901766, 14.53449433, 14.3397348 , 14.27277456,\n",
       "       14.28132259, 14.37806971, 14.52872914, 14.64352029, 14.71374098,\n",
       "       14.73708933, 14.73836009, 14.78346969, 14.81662145, 14.81227593,\n",
       "       14.80567054, 14.86774892, 14.90162316, 14.93692377, 14.95374932,\n",
       "       14.95315658, 14.98332754, 14.92296845, 14.84102488, 14.7801252 ,\n",
       "       14.72228824, 14.70831106, 14.74493571, 14.76675738, 14.67523176,\n",
       "       14.55094248, 14.48546533, 14.48486712, 14.50727518, 14.47389081,\n",
       "       14.44017628, 14.40801273, 14.35468246, 14.28188358, 14.29813354,\n",
       "       14.35960245, 14.45865736, 14.50801595, 14.53912642, 14.53631738,\n",
       "       14.50085928, 14.4770554 , 14.54199854, 14.63376915, 14.65000084,\n",
       "       14.62493801, 14.60011749, 14.61221611, 14.63270916, 14.67914592,\n",
       "       14.75967706, 14.79387655, 14.80134676, 14.78960025, 14.73497079,\n",
       "       14.7083095 , 14.68547499, 14.63400556, 14.63578759, 14.71975173,\n",
       "       14.83625057, 14.96653821, 15.1183127 , 15.25677944, 15.3591133 ,\n",
       "       15.40217258, 15.36703504, 15.35233694, 15.33211596, 15.27940129,\n",
       "       15.09350511, 14.88761567, 14.73473138, 14.67211509, 14.65488237,\n",
       "       14.63552232, 14.5892387 , 14.57050784, 14.53870654, 14.56208643,\n",
       "       14.57198403, 14.59495865, 14.64020879, 14.65685278, 14.65765195,\n",
       "       14.66004947, 14.62147247, 14.59445551, 14.62766099, 14.67718321,\n",
       "       14.69422243, 14.69620186, 14.73102185, 14.79732347, 14.83637362,\n",
       "       14.81394739, 14.84909151, 14.91686909, 14.94097961, 14.90934505,\n",
       "       14.8132531 , 14.73972604, 14.72326352, 14.78395131, 14.87170823,\n",
       "       14.92625175, 14.94398581, 14.95428957, 14.92676747, 14.98265755,\n",
       "       15.02611173, 15.04053676, 15.06767075, 15.1186268 , 15.06826863,\n",
       "       14.92078917, 14.78544477, 14.71844006, 14.70428778, 14.73003476,\n",
       "       14.75929119, 14.8034819 , 14.85978594, 14.91906632, 14.97335593,\n",
       "       15.00326251, 15.10634004, 15.22715096, 15.27181906, 15.32998439,\n",
       "       15.44076318, 15.51947717, 15.58011135, 15.63885204, 15.62354893,\n",
       "       15.56144124, 15.56866501, 15.7181755 , 15.78710369, 15.83932281,\n",
       "       15.96296149, 16.17778484, 16.49011179, 16.5121148 , 16.46755125,\n",
       "       16.347025  , 16.15872194, 15.8871243 , 15.73439749, 15.6896458 ,\n",
       "       15.64997715, 15.69200854, 15.71427883, 15.79688103, 15.92000142,\n",
       "       16.01213283, 15.91207121, 15.79474009, 15.75887738, 15.77863357,\n",
       "       15.75917342, 15.77445647, 15.75346887, 15.75696115, 15.77937991,\n",
       "       15.8199661 , 15.87993486, 15.99952908, 16.11784061, 16.1761243 ,\n",
       "       16.19668033, 16.11218553, 16.05145817, 15.97033351, 15.84991448,\n",
       "       15.64618615, 15.50656735, 15.40080228, 15.3786323 , 15.38955902,\n",
       "       15.31640557, 15.26917544, 15.30738929, 15.33760897, 15.38157509,\n",
       "       15.3177431 , 15.19384828, 15.13557752, 15.03066959, 14.90646914,\n",
       "       14.87196882, 14.84624815, 14.84025089, 14.93747907, 15.02932537,\n",
       "       15.15946578, 15.24084368, 15.23903334, 15.21839862, 15.17230159,\n",
       "       15.0774998 , 15.04154837, 15.11030871, 15.14314013, 15.13799064,\n",
       "       15.15366402, 15.16005273, 15.14547679, 15.20940753, 15.12297042,\n",
       "       14.96001063, 14.89866633, 14.97538563, 15.01280489, 15.02398685,\n",
       "       14.99644312, 15.01136481, 15.00013983, 14.9694382 , 14.95252682,\n",
       "       14.92499068, 14.89474013, 14.84565919, 14.80748568, 14.62994148,\n",
       "       14.41925957, 14.27728225, 14.19163897, 14.13786631, 14.09337053,\n",
       "       14.09275203, 14.05900028, 14.00930162, 13.97266443, 13.95603934,\n",
       "       13.93421327, 13.94622456, 13.98119279, 14.009191  , 14.03016645,\n",
       "       14.07982538, 14.17530106, 14.27464498, 14.35690466, 14.41568792,\n",
       "       14.52029324, 14.56752571, 14.60592571, 14.64435123, 14.65952627,\n",
       "       14.64868226, 14.67006299, 14.62226217, 14.56026996, 14.48738881,\n",
       "       14.42987709, 14.35598956, 14.26676282, 14.23437501, 14.23391936,\n",
       "       14.26583591, 14.26018507, 14.2362821 , 14.17691635, 14.10099845,\n",
       "       14.0002339 , 13.9487998 , 13.9045489 , 13.91654118, 13.91455428,\n",
       "       13.93727794, 13.98133775, 13.97585589, 13.94432092, 13.82612676,\n",
       "       13.75219404, 13.69943495, 13.65840075, 13.6571939 , 13.65418134,\n",
       "       13.59373865, 13.4952206 , 13.41228441, 13.41666588, 13.44908411,\n",
       "       13.49626242, 13.61177551, 13.76879182, 13.90908691, 13.99499937,\n",
       "       13.97478748, 13.88405167, 13.7836419 , 13.69614987, 13.59376747,\n",
       "       13.5205939 , 13.49026444, 13.45101383, 13.42132471, 13.44225728,\n",
       "       13.47023217, 13.49553676, 13.53381933, 13.56389979, 13.55506848,\n",
       "       13.51041252, 13.47571935, 13.45042493, 13.41917302, 13.47749974,\n",
       "       13.54561237, 13.67281507, 13.78944097, 13.9664213 , 14.16859213,\n",
       "       14.33285511, 14.44685256, 14.48907187, 14.4566047 , 14.37723977,\n",
       "       14.26812955, 14.20244553, 14.18209938, 14.20432888, 14.19845379,\n",
       "       14.18689531, 14.19059514, 14.24051449, 14.37360203, 14.49663358,\n",
       "       14.50596797, 14.47845768, 14.49297678, 14.51318227, 14.5457007 ,\n",
       "       14.52746629, 14.57749442, 14.63853778, 14.60061082, 14.58227865,\n",
       "       14.55572782, 14.60633566, 14.6576106 , 14.64234795, 14.61458576,\n",
       "       14.60377753, 14.64313865, 14.72682602, 14.8347668 , 14.95603605,\n",
       "       14.99048755, 15.06386481, 15.14557911, 15.22078388, 15.26827104,\n",
       "       15.34494397, 15.47226665, 15.56859256, 15.59690514, 15.53990146,\n",
       "       15.57619106, 15.58888153, 15.61382866, 15.6540448 , 15.70435437,\n",
       "       15.69192695, 15.66031357, 15.6103181 , 15.56527103, 15.62067792,\n",
       "       15.59039918, 15.39540268, 15.21755063, 15.11367772, 15.06821624,\n",
       "       15.02882023, 15.01911668, 14.99397182, 14.99395421, 14.94762266,\n",
       "       14.89745074, 14.87200114, 14.8444961 , 14.81146226, 14.78164407,\n",
       "       14.71513915, 14.66966897, 14.6739766 , 14.72545751, 14.77786745,\n",
       "       14.86948213, 14.92844284, 14.87060499, 14.77803542, 14.75891891,\n",
       "       14.87839787, 15.1309354 , 15.31470914, 15.46334422, 15.55053704,\n",
       "       15.74809155, 15.92505638, 15.89359392, 15.90657441, 16.00617258,\n",
       "       16.01910024, 15.93507781, 15.89738426, 15.86065996, 15.91459802,\n",
       "       15.92295423, 15.93992836, 16.07014479, 16.17785105, 16.20741199,\n",
       "       16.1497984 , 16.10798859, 16.13074419, 16.2442901 , 16.22851663,\n",
       "       16.15703643, 16.11964047, 16.06985254, 16.06406661, 16.01159046,\n",
       "       15.96450723, 15.96465035, 15.9589498 , 15.96763705, 15.97668855,\n",
       "       15.96221827, 16.0477871 , 16.18703296, 16.3431718 , 16.35173109,\n",
       "       16.31552174, 16.31280232, 16.31514345, 16.25596361, 16.17613433,\n",
       "       16.13854599, 16.04177625, 15.96236184, 15.8424767 , 15.79455395,\n",
       "       15.7972805 , 15.75731047, 15.68187676, 15.63773342, 15.55708736,\n",
       "       15.59073445, 15.68147818, 15.7848426 , 15.76812662, 15.77636914,\n",
       "       15.77509893, 15.71532612, 15.71437023, 15.72061515, 15.73173715,\n",
       "       15.68175549, 15.64561726, 15.65998343, 15.68170177, 15.67440778,\n",
       "       15.63724879, 15.57819668, 15.48005999, 15.41042625, 15.38656273,\n",
       "       15.35923056, 15.33862415, 15.32021396, 15.34753543, 15.37809261,\n",
       "       15.39478608, 15.38739445, 15.40927285, 15.44571694, 15.48688985,\n",
       "       15.59577136, 15.69255425, 15.7429472 , 15.75213312, 15.80757145,\n",
       "       15.85368765, 15.8510117 , 15.81742992, 15.7551118 , 15.73331008,\n",
       "       15.76781386, 15.69704812, 15.66849523, 15.68706258, 15.66570671,\n",
       "       15.59523635, 15.53327155, 15.51397904, 15.46696625, 15.40671995,\n",
       "       15.36228235, 15.32991506, 15.3017175 , 15.27356498, 15.21805398,\n",
       "       15.1625354 , 15.12463475, 15.13395888, 15.16719624, 15.25879243,\n",
       "       15.33937852, 15.37999212, 15.41381933, 15.48678441, 15.56332247,\n",
       "       15.59145538, 15.59477512, 15.52618087, 15.43967554, 15.39132946,\n",
       "       15.37283746, 15.38576757, 15.34106046, 15.3150248 , 15.30705781,\n",
       "       15.34106001, 15.41006957, 15.4627887 , 15.50822098, 15.48736534,\n",
       "       15.46528944, 15.3894567 , 15.28444778, 15.14825283, 15.01868355,\n",
       "       14.88733858, 14.76446475, 14.66000823, 14.59694488, 14.56653895,\n",
       "       14.59094651, 14.70852262, 14.86460874, 14.98379891, 15.21653098,\n",
       "       15.37923196, 15.47152834, 15.58899611, 15.73816041, 15.85470996,\n",
       "       15.89522103, 15.8953686 , 15.90734238, 15.90991534, 15.9875359 ,\n",
       "       16.00527109, 15.96947972, 15.90634949, 15.87061741, 15.87637837,\n",
       "       15.84605482, 15.79404591, 15.70528663, 15.64764071, 15.56012556,\n",
       "       15.52810067, 15.57561793, 15.62819639, 15.72623144, 15.80688529,\n",
       "       15.84430667, 15.92916126, 15.96005594, 15.93258578, 15.93566923,\n",
       "       15.9985315 , 16.13222751, 16.24702312, 16.28756472, 16.3872505 ,\n",
       "       16.32870153, 16.21928456, 16.14973197, 16.11976241, 16.02974117,\n",
       "       15.89999779, 15.80026542, 15.88013683, 16.03050579, 16.1186186 ,\n",
       "       16.16230317, 16.21755581, 16.22078393, 16.25608265])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trained_prediction = predicted_np.flatten()\n",
    "\n",
    "dummies = np.zeros((X_train.shape[0], lookback+1))\n",
    "dummies[:, 0] = trained_prediction\n",
    "dummies = scaler.inverse_transform(dummies)\n",
    "\n",
    "trained_prediction = dc(dummies[:, 0])\n",
    "trained_prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([13.89000032, 14.15999984, 14.27000041, 14.23999976, 14.22999951,\n",
       "       14.31000043, 14.28999992, 14.39000035, 14.31999968, 14.3999996 ,\n",
       "       14.3800001 , 14.27000041, 14.31000043, 14.26000027, 14.30000018,\n",
       "       14.13000008, 13.90999983, 14.10000043, 14.26000027, 14.27000041,\n",
       "       14.39000035, 14.35000033, 14.52999968, 14.3999996 , 14.27999978,\n",
       "       14.39000035, 14.31999968, 14.57999995, 14.64999961, 14.73999979,\n",
       "       14.68999963, 14.85000036, 14.72999953, 14.72000028, 14.72999953,\n",
       "       14.68999963, 14.72999953, 14.68000027, 14.60000035, 14.78999995,\n",
       "       14.68999963, 14.73999979, 15.00000006, 15.13000002, 15.1999998 ,\n",
       "       15.14999964, 15.03999996, 15.07999986, 15.21000005, 15.42000005,\n",
       "       15.43999967, 15.43999967, 15.51000034, 15.53999999, 15.65999992,\n",
       "       15.67000018, 15.65999992, 15.71000008, 15.77000049, 15.68999957,\n",
       "       15.68999957, 15.43999967, 15.57999989, 15.6400003 , 15.6400003 ,\n",
       "       15.55000024, 15.6199998 , 15.47999957, 15.35000028, 15.34000024,\n",
       "       15.06000047, 14.60999971, 14.52999968, 14.68000027, 14.64999961,\n",
       "       14.5900002 , 14.60000035, 14.61999985, 14.64999961, 14.48999978,\n",
       "       14.5699997 , 14.67000012, 14.75000004, 14.78999995, 14.85000036,\n",
       "       14.84000011, 14.85999961, 14.86999987, 14.89000038, 15.02000057,\n",
       "       15.06000047, 14.92000003, 14.89999963, 14.90999988, 14.85999961,\n",
       "       14.85999961, 14.8000002 , 14.81000046, 14.81999971, 14.85999961,\n",
       "       15.02999971, 14.96000004, 14.89999963, 14.90999988, 14.82999996,\n",
       "       14.47999952, 14.25000002, 14.1899996 , 14.39000035, 14.42000011,\n",
       "       14.5900002 , 14.72999953, 14.67000012, 14.67000012, 14.64999961,\n",
       "       14.68000027, 14.85000036, 14.81000046, 14.72999953, 14.77000044,\n",
       "       14.9700003 , 14.86999987, 14.93999953, 14.92000003, 14.90999988,\n",
       "       15.02000057, 14.75000004, 14.72999953, 14.75000004, 14.68000027,\n",
       "       14.73999979, 14.84000011, 14.76000019, 14.44999976, 14.3800001 ,\n",
       "       14.47999952, 14.57999995, 14.56000044, 14.3599997 , 14.39000035,\n",
       "       14.3599997 , 14.25000002, 14.15999984, 14.43000025, 14.47999952,\n",
       "       14.57999995, 14.44999976, 14.50000003, 14.46000001, 14.39000035,\n",
       "       14.43999962, 14.69999977, 14.73999979, 14.52999968, 14.51000017,\n",
       "       14.53999993, 14.64999961, 14.64000036, 14.72999953, 14.85000036,\n",
       "       14.73999979, 14.72999953, 14.72000028, 14.61999985, 14.69999977,\n",
       "       14.65999987, 14.53999993, 14.68999963, 14.88000012, 14.94999979,\n",
       "       15.06000047, 15.22000031, 15.30000012, 15.35000028, 15.31999973,\n",
       "       15.22000031, 15.34000024, 15.30000012, 15.1999998 , 14.81999971,\n",
       "       14.71000003, 14.68999963, 14.76000019, 14.72999953, 14.64000036,\n",
       "       14.52999968, 14.57999995, 14.48999978, 14.64000036, 14.5699997 ,\n",
       "       14.61999985, 14.68999963, 14.60999971, 14.60999971, 14.64000036,\n",
       "       14.52000043, 14.56000044, 14.72000028, 14.72000028, 14.64999961,\n",
       "       14.64999961, 14.77000044, 14.86999987, 14.81000046, 14.68999963,\n",
       "       14.92000003, 14.9899998 , 14.88000012, 14.78999995, 14.64000036,\n",
       "       14.68999963, 14.77000044, 14.92000003, 14.9700003 , 14.92000003,\n",
       "       14.88000012, 14.92000003, 14.84000011, 15.10000037, 15.03999996,\n",
       "       15.00000006, 15.07999986, 15.1599999 , 14.89999963, 14.68000027,\n",
       "       14.68000027, 14.75000004, 14.77999969, 14.8000002 , 14.78999995,\n",
       "       14.85000036, 14.89999963, 14.93999953, 14.9899998 , 14.97999955,\n",
       "       15.2399997 , 15.31000037, 15.18999955, 15.35000028, 15.55000024,\n",
       "       15.52000037, 15.57999989, 15.65999992, 15.52999973, 15.47000021,\n",
       "       15.6400003 , 15.9799996 , 15.78999989, 15.86999992, 16.12999918,\n",
       "       16.45000087, 16.86000061, 16.31999979, 16.42000011, 16.26000027,\n",
       "       16.04000091, 15.69999983, 15.84000005, 15.89000043, 15.74999999,\n",
       "       15.89000043, 15.77999963, 15.98999986, 16.10000043, 16.10000043,\n",
       "       15.71000008, 15.73999973, 15.85999967, 15.90999982, 15.77999963,\n",
       "       15.86999992, 15.77000049, 15.83000002, 15.85999967, 15.90999982,\n",
       "       16.00000011, 16.19000049, 16.25000001, 16.20999899, 16.2299995 ,\n",
       "       16.01000014, 16.09000017, 15.97000024, 15.8100004 , 15.51000034,\n",
       "       15.55000024, 15.4499997 , 15.52999973, 15.51000034, 15.2399997 ,\n",
       "       15.31000037, 15.45999996, 15.3900004 , 15.4499997 , 15.18999955,\n",
       "       15.05000022, 15.18000041, 14.93000028, 14.81000046, 14.97999955,\n",
       "       14.86999987, 14.86999987, 15.14000028, 15.09000012, 15.28999986,\n",
       "       15.22999945, 15.10999974, 15.1599999 , 15.10000037, 14.93999953,\n",
       "       15.07999986, 15.28999986, 15.13000002, 15.09000012, 15.17000015,\n",
       "       15.14999964, 15.10999974, 15.32999999, 14.89999963, 14.75000004,\n",
       "       14.96000004, 15.1999998 , 15.02000057, 15.00000006, 14.92000003,\n",
       "       15.06000047, 14.96000004, 14.89999963, 14.96000004, 14.89999963,\n",
       "       14.85999961, 14.77000044, 14.78999995, 14.31999968, 14.18000035,\n",
       "       14.22000026, 14.19999986, 14.14000034, 14.05000022, 14.14000034,\n",
       "       13.94999979, 13.89000032, 13.89999963, 13.94999979, 13.86999987,\n",
       "       13.97000024, 14.02000046, 13.98999975, 14.        , 14.13000008,\n",
       "       14.31999968, 14.35000033, 14.36999984, 14.39000035, 14.64000036,\n",
       "       14.48999978, 14.57999995, 14.64000036, 14.60999971, 14.5699997 ,\n",
       "       14.68999963, 14.47000027, 14.46000001, 14.39000035, 14.36999984,\n",
       "       14.26000027, 14.14000034, 14.26000027, 14.27000041, 14.32999994,\n",
       "       14.1700001 , 14.15999984, 14.02999971, 13.96000004, 13.8100004 ,\n",
       "       13.93000028, 13.84000016, 13.97999955, 13.85000036, 13.94999979,\n",
       "       14.02999971, 13.84000016, 13.8100004 , 13.47000027, 13.65999987,\n",
       "       13.60000041, 13.56000042, 13.64999962, 13.57999992, 13.28999997,\n",
       "       13.11999989, 13.15999985, 13.48999978, 13.48999978, 13.48999978,\n",
       "       13.84000016, 14.        , 13.97999955, 13.93000028, 13.71000003,\n",
       "       13.59000015, 13.5699997 , 13.52000046, 13.34000015, 13.3699999 ,\n",
       "       13.40999986, 13.23999976, 13.25000001, 13.46000005, 13.43000031,\n",
       "       13.42000009, 13.51000023, 13.48999978, 13.35999964, 13.23999976,\n",
       "       13.31000042, 13.3199997 , 13.22999955, 13.64999962, 13.59000015,\n",
       "       13.89999963, 13.85000036, 14.22999951, 14.39000035, 14.39000035,\n",
       "       14.42000011, 14.36999984, 14.27999978, 14.18000035, 14.09000018,\n",
       "       14.15999984, 14.22000026, 14.26000027, 14.11999994, 14.13000008,\n",
       "       14.18000035, 14.32999994, 14.60000035, 14.5699997 , 14.31999968,\n",
       "       14.35000033, 14.52000043, 14.51000017, 14.5699997 , 14.42000011,\n",
       "       14.68000027, 14.68000027, 14.3999996 , 14.55000019, 14.51000017,\n",
       "       14.72999953, 14.68000027, 14.52000043, 14.53999993, 14.60000035,\n",
       "       14.71000003, 14.82999996, 14.93999953, 15.02999971, 14.88000012,\n",
       "       15.10999974, 15.18000041, 15.2399997 , 15.2399997 , 15.39999954,\n",
       "       15.59000015, 15.57999989, 15.52000037, 15.3900004 , 15.68999957,\n",
       "       15.57999989, 15.64999967, 15.71000008, 15.77000049, 15.6400003 ,\n",
       "       15.63000005, 15.57999989, 15.56999964, 15.80000014, 15.52000037,\n",
       "       15.13000002, 15.13000002, 15.1599999 , 15.14999964, 15.06000047,\n",
       "       15.07999986, 14.9899998 , 15.03999996, 14.85999961, 14.85999961,\n",
       "       14.89999963, 14.82999996, 14.77999969, 14.76000019, 14.61999985,\n",
       "       14.64999961, 14.73999979, 14.81999971, 14.81999971, 14.9700003 ,\n",
       "       14.90999988, 14.65999987, 14.63000011, 14.81000046, 15.14000028,\n",
       "       15.47000021, 15.34000024, 15.47999957, 15.50000008, 15.94999973,\n",
       "       16.00000011, 15.64999967, 15.93999947, 16.16999998, 15.97000024,\n",
       "       15.80000014, 15.94999973, 15.89000043, 16.10000043, 15.93999947,\n",
       "       16.01000014, 16.34000007, 16.29999928, 16.20999899, 16.09000017,\n",
       "       16.15999995, 16.28000078, 16.49999991, 16.19000049, 16.13999944,\n",
       "       16.20999899, 16.11000068, 16.19000049, 16.03000065, 16.03000065,\n",
       "       16.10000043, 16.04000091, 16.05999941, 16.06999966, 16.01000014,\n",
       "       16.27000052, 16.42000011, 16.54999918, 16.30999953, 16.31999979,\n",
       "       16.42000011, 16.42000011, 16.26000027, 16.20000074, 16.26000027,\n",
       "       16.03000065, 16.0200004 , 15.81999976, 15.93000033, 15.94999973,\n",
       "       15.77999963, 15.67000018, 15.71000008, 15.53999999, 15.77999963,\n",
       "       15.86999992, 15.92000008, 15.68999957, 15.83000002, 15.80000014,\n",
       "       15.65999992, 15.8100004 , 15.77999963, 15.80000014, 15.63000005,\n",
       "       15.67000018, 15.76000024, 15.76000024, 15.68000021, 15.6199998 ,\n",
       "       15.5600005 , 15.4099998 , 15.43000031, 15.45999996, 15.3900004 ,\n",
       "       15.36999989, 15.34000024, 15.43999967, 15.43000031, 15.4099998 ,\n",
       "       15.36999989, 15.47000021, 15.50000008, 15.52999973, 15.74999999,\n",
       "       15.76000024, 15.73999973, 15.72000034, 15.89999957, 15.89999957,\n",
       "       15.83000002, 15.78999989, 15.72000034, 15.80000014, 15.89000043,\n",
       "       15.6000004 , 15.72999948, 15.80000014, 15.65999992, 15.53999999,\n",
       "       15.53999999, 15.59000015, 15.45999996, 15.3900004 , 15.38000015,\n",
       "       15.36999989, 15.31999973, 15.27999983, 15.18000041, 15.14999964,\n",
       "       15.14000028, 15.21000005, 15.2399997 , 15.39999954, 15.3900004 ,\n",
       "       15.35999964, 15.42000005, 15.56999964, 15.6199998 , 15.5600005 ,\n",
       "       15.56999964, 15.4099998 , 15.36999989, 15.4099998 , 15.42000005,\n",
       "       15.45999996, 15.27999983, 15.32999999, 15.34000024, 15.43000031,\n",
       "       15.51000034, 15.50000008, 15.53999999, 15.4099998 , 15.4499997 ,\n",
       "       15.28999986, 15.1999998 , 15.03999996, 14.96000004, 14.81999971,\n",
       "       14.71000003, 14.63000011, 14.61999985, 14.60999971, 14.68999963,\n",
       "       14.93000028, 15.02999971, 15.01000031, 15.47999957, 15.38000015,\n",
       "       15.4099998 , 15.64999967, 15.84000005, 15.88000017, 15.83000002,\n",
       "       15.84000005, 15.93000033, 15.93000033, 16.12999918, 16.01000014,\n",
       "       15.93999947, 15.88000017, 15.92000008, 15.9799996 , 15.85999967,\n",
       "       15.80000014, 15.67000018, 15.69999983, 15.52999973, 15.6199998 ,\n",
       "       15.74999999, 15.72999948, 15.88000017, 15.88000017, 15.85999967,\n",
       "       16.05999941, 15.97000024, 15.89000043, 16.01000014, 16.14999969,\n",
       "       16.35000033, 16.37999909, 16.30999953, 16.57999994, 16.2299995 ,\n",
       "       16.15999995, 16.21999925, 16.23999976, 16.0200004 , 15.86999992,\n",
       "       15.8500003 , 16.20000074, 16.30999953, 16.20000074, 16.2299995 ,\n",
       "       16.34000007, 16.25000001, 16.37999909, 16.36000058])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dummies = np.zeros((X_train.shape[0], lookback+1))\n",
    "dummies[:, 0] = Y_train.flatten()\n",
    "dummies = scaler.inverse_transform(dummies)\n",
    "\n",
    "new_Y_train = dc(dummies[:, 0])\n",
    "new_Y_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 8))\n",
    "plt.plot(new_Y_train, label='Actual Close')\n",
    "plt.plot(trained_prediction, label='Predicted Close')\n",
    "plt.xlabel('Day')\n",
    "plt.ylabel('Close')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "\n",
    "#X_train vs Y_train adjusted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([16.27375541, 16.37476244, 16.42861736, 16.43714722, 16.41049607,\n",
       "       16.32457168, 16.26729381, 16.2386114 , 16.18098711, 16.14388897,\n",
       "       16.09886241, 16.08613628, 16.16003517, 16.2310158 , 16.22058286,\n",
       "       16.12367312, 16.08699586, 16.09876656, 16.08260966, 16.09042796,\n",
       "       16.05910661, 16.04848284, 16.05109348, 16.10700395, 16.16476868,\n",
       "       16.18572508, 16.25143028, 16.25079807, 16.1980348 , 16.17544216,\n",
       "       16.1615867 , 16.15661912, 16.1251337 , 16.0882246 , 15.97811881,\n",
       "       15.88279115, 15.86419527, 15.89804633])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_predictions = model(X_test).detach().numpy().flatten()\n",
    "\n",
    "dummies = np.zeros((X_test.shape[0], lookback+1))\n",
    "dummies[:, 0] = test_predictions\n",
    "dummies = scaler.inverse_transform(dummies)\n",
    "\n",
    "test_predictions = dc(dummies[:, 0])\n",
    "test_predictions\n",
    "\n",
    "#predicted_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([16.62000074, 16.54000093, 16.49999991, 16.45999912, 16.31999979,\n",
       "       16.36000058, 16.36000058, 16.23999976, 16.25000001, 16.18000024,\n",
       "       16.20999899, 16.3999996 , 16.38999934, 16.23999976, 16.06999966,\n",
       "       16.20000074, 16.25000001, 16.14999969, 16.20999899, 16.10000043,\n",
       "       16.14999969, 16.14999969, 16.28000078, 16.29999928, 16.26000027,\n",
       "       16.42000011, 16.28000078, 16.20000074, 16.27000052, 16.26000027,\n",
       "       16.26000027, 16.18000024, 16.14999969, 15.93000033, 15.92000008,\n",
       "       16.01000014, 16.06999966, 16.18000024])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dummies = np.zeros((X_test.shape[0], lookback+1))\n",
    "dummies[:, 0] = Y_test.flatten()\n",
    "dummies = scaler.inverse_transform(dummies)\n",
    "\n",
    "new_Y_test = dc(dummies[:, 0])\n",
    "new_Y_test\n",
    "\n",
    "#actual_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 8))\n",
    "plt.plot(new_Y_test, label='Actual Close')\n",
    "plt.plot(test_predictions, label='Predicted Close')\n",
    "plt.xlabel('Day')\n",
    "plt.ylabel('Close')\n",
    "plt.legend()\n",
    "plt.ylim(14, 17)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Actual_data; Y_test</th>\n",
       "      <th>Predicted_data; X_test</th>\n",
       "      <th>Difference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>16.620001</td>\n",
       "      <td>16.273755</td>\n",
       "      <td>0.346245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16.540001</td>\n",
       "      <td>16.374762</td>\n",
       "      <td>0.165238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16.500000</td>\n",
       "      <td>16.428617</td>\n",
       "      <td>0.071383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16.459999</td>\n",
       "      <td>16.437147</td>\n",
       "      <td>0.022852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>16.320000</td>\n",
       "      <td>16.410496</td>\n",
       "      <td>-0.090496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>16.360001</td>\n",
       "      <td>16.324572</td>\n",
       "      <td>0.035429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>16.360001</td>\n",
       "      <td>16.267294</td>\n",
       "      <td>0.092707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>16.240000</td>\n",
       "      <td>16.238611</td>\n",
       "      <td>0.001388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>16.250000</td>\n",
       "      <td>16.180987</td>\n",
       "      <td>0.069013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>16.180000</td>\n",
       "      <td>16.143889</td>\n",
       "      <td>0.036111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>16.209999</td>\n",
       "      <td>16.098862</td>\n",
       "      <td>0.111137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>16.400000</td>\n",
       "      <td>16.086136</td>\n",
       "      <td>0.313863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>16.389999</td>\n",
       "      <td>16.160035</td>\n",
       "      <td>0.229964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>16.240000</td>\n",
       "      <td>16.231016</td>\n",
       "      <td>0.008984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16.070000</td>\n",
       "      <td>16.220583</td>\n",
       "      <td>-0.150583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16.200001</td>\n",
       "      <td>16.123673</td>\n",
       "      <td>0.076328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>16.250000</td>\n",
       "      <td>16.086996</td>\n",
       "      <td>0.163004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>16.150000</td>\n",
       "      <td>16.098767</td>\n",
       "      <td>0.051233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>16.209999</td>\n",
       "      <td>16.082610</td>\n",
       "      <td>0.127389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>16.100000</td>\n",
       "      <td>16.090428</td>\n",
       "      <td>0.009572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>16.150000</td>\n",
       "      <td>16.059107</td>\n",
       "      <td>0.090893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>16.150000</td>\n",
       "      <td>16.048483</td>\n",
       "      <td>0.101517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>16.280001</td>\n",
       "      <td>16.051093</td>\n",
       "      <td>0.228907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>16.299999</td>\n",
       "      <td>16.107004</td>\n",
       "      <td>0.192995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>16.260000</td>\n",
       "      <td>16.164769</td>\n",
       "      <td>0.095232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>16.420000</td>\n",
       "      <td>16.185725</td>\n",
       "      <td>0.234275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>16.280001</td>\n",
       "      <td>16.251430</td>\n",
       "      <td>0.028571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>16.200001</td>\n",
       "      <td>16.250798</td>\n",
       "      <td>-0.050797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>16.270001</td>\n",
       "      <td>16.198035</td>\n",
       "      <td>0.071966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>16.260000</td>\n",
       "      <td>16.175442</td>\n",
       "      <td>0.084558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>16.260000</td>\n",
       "      <td>16.161587</td>\n",
       "      <td>0.098414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>16.180000</td>\n",
       "      <td>16.156619</td>\n",
       "      <td>0.023381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>16.150000</td>\n",
       "      <td>16.125134</td>\n",
       "      <td>0.024866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>15.930000</td>\n",
       "      <td>16.088225</td>\n",
       "      <td>-0.158224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>15.920000</td>\n",
       "      <td>15.978119</td>\n",
       "      <td>-0.058119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>16.010000</td>\n",
       "      <td>15.882791</td>\n",
       "      <td>0.127209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>16.070000</td>\n",
       "      <td>15.864195</td>\n",
       "      <td>0.205804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>16.180000</td>\n",
       "      <td>15.898046</td>\n",
       "      <td>0.281954</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Actual_data; Y_test  Predicted_data; X_test  Difference\n",
       "1             16.620001               16.273755    0.346245\n",
       "2             16.540001               16.374762    0.165238\n",
       "3             16.500000               16.428617    0.071383\n",
       "4             16.459999               16.437147    0.022852\n",
       "5             16.320000               16.410496   -0.090496\n",
       "6             16.360001               16.324572    0.035429\n",
       "7             16.360001               16.267294    0.092707\n",
       "8             16.240000               16.238611    0.001388\n",
       "9             16.250000               16.180987    0.069013\n",
       "10            16.180000               16.143889    0.036111\n",
       "11            16.209999               16.098862    0.111137\n",
       "12            16.400000               16.086136    0.313863\n",
       "13            16.389999               16.160035    0.229964\n",
       "14            16.240000               16.231016    0.008984\n",
       "15            16.070000               16.220583   -0.150583\n",
       "16            16.200001               16.123673    0.076328\n",
       "17            16.250000               16.086996    0.163004\n",
       "18            16.150000               16.098767    0.051233\n",
       "19            16.209999               16.082610    0.127389\n",
       "20            16.100000               16.090428    0.009572\n",
       "21            16.150000               16.059107    0.090893\n",
       "22            16.150000               16.048483    0.101517\n",
       "23            16.280001               16.051093    0.228907\n",
       "24            16.299999               16.107004    0.192995\n",
       "25            16.260000               16.164769    0.095232\n",
       "26            16.420000               16.185725    0.234275\n",
       "27            16.280001               16.251430    0.028571\n",
       "28            16.200001               16.250798   -0.050797\n",
       "29            16.270001               16.198035    0.071966\n",
       "30            16.260000               16.175442    0.084558\n",
       "31            16.260000               16.161587    0.098414\n",
       "32            16.180000               16.156619    0.023381\n",
       "33            16.150000               16.125134    0.024866\n",
       "34            15.930000               16.088225   -0.158224\n",
       "35            15.920000               15.978119   -0.058119\n",
       "36            16.010000               15.882791    0.127209\n",
       "37            16.070000               15.864195    0.205804\n",
       "38            16.180000               15.898046    0.281954"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "Comparsion_data = {\"Actual_data; Y_test\": new_Y_test, \"Predicted_data; X_test\":test_predictions, \"Difference\": new_Y_test - test_predictions}\n",
    "Comparsion_table = pd.DataFrame(data=Comparsion_data)\n",
    "Comparsion_table.index = Comparsion_table.index + 1\n",
    "Comparsion_table"
   ]
  }
 ],
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