Stock_Market_Prediction_Model_Creation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "88d67c13-1dca-451c-85d5-eb234183c342",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import yfinance as yf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f3bc102c-1442-4cae-9093-f77f2b7b7e0c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[*********************100%***********************]  1 of 1 completed\n"
     ]
    }
   ],
   "source": [
    "start = '2012-01-01'\n",
    "end = '2022-12-21'\n",
    "stock = 'GOOG'\n",
    "\n",
    "data = yf.download(stock, start, end)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8657c12a-ec44-4ea9-80c9-7ecbec9b0084",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e8fadd81-946b-47fc-b014-8ecf059302ce",
   "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>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2012-01-03</td>\n",
       "      <td>16.262545</td>\n",
       "      <td>16.641375</td>\n",
       "      <td>16.248346</td>\n",
       "      <td>16.573130</td>\n",
       "      <td>16.554291</td>\n",
       "      <td>147611217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012-01-04</td>\n",
       "      <td>16.563665</td>\n",
       "      <td>16.693678</td>\n",
       "      <td>16.453827</td>\n",
       "      <td>16.644611</td>\n",
       "      <td>16.625692</td>\n",
       "      <td>114989399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012-01-05</td>\n",
       "      <td>16.491436</td>\n",
       "      <td>16.537264</td>\n",
       "      <td>16.344486</td>\n",
       "      <td>16.413727</td>\n",
       "      <td>16.395069</td>\n",
       "      <td>131808205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012-01-06</td>\n",
       "      <td>16.417213</td>\n",
       "      <td>16.438385</td>\n",
       "      <td>16.184088</td>\n",
       "      <td>16.189817</td>\n",
       "      <td>16.171415</td>\n",
       "      <td>108119746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012-01-09</td>\n",
       "      <td>16.102144</td>\n",
       "      <td>16.114599</td>\n",
       "      <td>15.472754</td>\n",
       "      <td>15.503389</td>\n",
       "      <td>15.485767</td>\n",
       "      <td>233776981</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2756</th>\n",
       "      <td>2022-12-14</td>\n",
       "      <td>95.540001</td>\n",
       "      <td>97.220001</td>\n",
       "      <td>93.940002</td>\n",
       "      <td>95.309998</td>\n",
       "      <td>95.201660</td>\n",
       "      <td>26452900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2757</th>\n",
       "      <td>2022-12-15</td>\n",
       "      <td>93.540001</td>\n",
       "      <td>94.029999</td>\n",
       "      <td>90.430000</td>\n",
       "      <td>91.199997</td>\n",
       "      <td>91.096336</td>\n",
       "      <td>28298800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2758</th>\n",
       "      <td>2022-12-16</td>\n",
       "      <td>91.199997</td>\n",
       "      <td>91.750000</td>\n",
       "      <td>90.010002</td>\n",
       "      <td>90.860001</td>\n",
       "      <td>90.756721</td>\n",
       "      <td>48485500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2759</th>\n",
       "      <td>2022-12-19</td>\n",
       "      <td>90.879997</td>\n",
       "      <td>91.199997</td>\n",
       "      <td>88.925003</td>\n",
       "      <td>89.150002</td>\n",
       "      <td>89.048668</td>\n",
       "      <td>23020500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2760</th>\n",
       "      <td>2022-12-20</td>\n",
       "      <td>88.730003</td>\n",
       "      <td>89.779999</td>\n",
       "      <td>88.040001</td>\n",
       "      <td>89.629997</td>\n",
       "      <td>89.528122</td>\n",
       "      <td>21976800</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2761 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Date       Open       High        Low      Close  Adj Close  \\\n",
       "0    2012-01-03  16.262545  16.641375  16.248346  16.573130  16.554291   \n",
       "1    2012-01-04  16.563665  16.693678  16.453827  16.644611  16.625692   \n",
       "2    2012-01-05  16.491436  16.537264  16.344486  16.413727  16.395069   \n",
       "3    2012-01-06  16.417213  16.438385  16.184088  16.189817  16.171415   \n",
       "4    2012-01-09  16.102144  16.114599  15.472754  15.503389  15.485767   \n",
       "...         ...        ...        ...        ...        ...        ...   \n",
       "2756 2022-12-14  95.540001  97.220001  93.940002  95.309998  95.201660   \n",
       "2757 2022-12-15  93.540001  94.029999  90.430000  91.199997  91.096336   \n",
       "2758 2022-12-16  91.199997  91.750000  90.010002  90.860001  90.756721   \n",
       "2759 2022-12-19  90.879997  91.199997  88.925003  89.150002  89.048668   \n",
       "2760 2022-12-20  88.730003  89.779999  88.040001  89.629997  89.528122   \n",
       "\n",
       "         Volume  \n",
       "0     147611217  \n",
       "1     114989399  \n",
       "2     131808205  \n",
       "3     108119746  \n",
       "4     233776981  \n",
       "...         ...  \n",
       "2756   26452900  \n",
       "2757   28298800  \n",
       "2758   48485500  \n",
       "2759   23020500  \n",
       "2760   21976800  \n",
       "\n",
       "[2761 rows x 7 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8a478e83-6aee-4809-9405-be6f8b65b16a",
   "metadata": {},
   "outputs": [],
   "source": [
    "ma_100_days = data.Close.rolling(100).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fc840124-ef3e-40b0-9e74-aa5a174c4c50",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,6))\n",
    "plt.plot(ma_100_days, 'r')\n",
    "plt.plot(data.Close, 'g')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1158c05f-1a2c-41f8-8add-85720074cdcd",
   "metadata": {},
   "outputs": [],
   "source": [
    "ma_200_days = data.Close.rolling(200).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "97a1b79b-2302-43d7-883a-a0a255c864bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,6))\n",
    "plt.plot(ma_100_days, 'r')\n",
    "plt.plot(ma_200_days,'b')\n",
    "plt.plot(data.Close,'g')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0ac073de-1a30-487c-a1f8-c809cbba06db",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "64246466-177b-46f9-b4eb-6ee5005bfd6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_train = pd.DataFrame(data.Close[0: int(len(data)*0.80)])\n",
    "data_test = pd.DataFrame(data.Close[int(len(data)*0.80): len(data)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0f4c0b4b-2b5e-4f62-bd84-47a86ed3da3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2208"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_train.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0a609554-633d-4edf-abc1-21bd874a3cd1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "553"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_test.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d5144e93-eab7-479f-9fde-9bf8c5786dc6",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "scaler = MinMaxScaler(feature_range=(0,1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4c2793bd-1def-45f7-8fd2-9115eed1c2c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_train_scale = scaler.fit_transform(data_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d55d63c2-132a-40b5-9398-e576ceba14fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "x = []\n",
    "y = []\n",
    "\n",
    "for i in range(100, data_train_scale.shape[0]):\n",
    "    x.append(data_train_scale[i-100:i])\n",
    "    y.append(data_train_scale[i,0])\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "998369e6-f1ad-4cf5-af58-0aa5b7aa315c",
   "metadata": {},
   "outputs": [],
   "source": [
    "x, y = np.array(x), np.array(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3c9c6717-e792-4206-960f-0689203555ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.layers import Dense, Dropout, LSTM\n",
    "from keras.models import Sequential"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "14867cd4-c1ed-4cf9-b339-245bfaec0852",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\user\\Desktop\\stococ\\aenv\\Lib\\site-packages\\keras\\src\\layers\\rnn\\rnn.py:204: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
      "  super().__init__(**kwargs)\n"
     ]
    }
   ],
   "source": [
    "model = Sequential()\n",
    "model.add(LSTM(units = 50, activation = 'relu', return_sequences = True,\n",
    "               input_shape = ((x.shape[1],1))))\n",
    "model.add(Dropout(0.2))\n",
    "\n",
    "model.add(LSTM(units = 60, activation='relu', return_sequences = True))\n",
    "model.add(Dropout(0.3))\n",
    "\n",
    "model.add(LSTM(units = 80, activation = 'relu', return_sequences = True))\n",
    "model.add(Dropout(0.4))\n",
    "\n",
    "model.add(LSTM(units = 120, activation = 'relu'))\n",
    "model.add(Dropout(0.5))\n",
    "\n",
    "model.add(Dense(units =1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "c69edcc2-b11d-4702-8a6c-f6a6e677e79a",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.compile(optimizer = 'adam', loss = 'mean_squared_error')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f36e439a-0106-4108-9630-7cdd7e5428e4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 61ms/step - loss: 0.0647\n",
      "Epoch 2/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 62ms/step - loss: 0.0073\n",
      "Epoch 3/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 60ms/step - loss: 0.0056\n",
      "Epoch 4/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 61ms/step - loss: 0.0057\n",
      "Epoch 5/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 59ms/step - loss: 0.0050\n",
      "Epoch 6/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 59ms/step - loss: 0.0062\n",
      "Epoch 7/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 58ms/step - loss: 0.0049\n",
      "Epoch 8/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 59ms/step - loss: 0.0037\n",
      "Epoch 9/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 58ms/step - loss: 0.0038\n",
      "Epoch 10/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 59ms/step - loss: 0.0036\n",
      "Epoch 11/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 58ms/step - loss: 0.0039\n",
      "Epoch 12/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 59ms/step - loss: 0.0034\n",
      "Epoch 13/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 58ms/step - loss: 0.0036\n",
      "Epoch 14/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 58ms/step - loss: 0.0030\n",
      "Epoch 15/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 59ms/step - loss: 0.0036\n",
      "Epoch 16/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 58ms/step - loss: 0.0029\n",
      "Epoch 17/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 59ms/step - loss: 0.0029\n",
      "Epoch 18/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 59ms/step - loss: 0.0032\n",
      "Epoch 19/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 59ms/step - loss: 0.0033\n",
      "Epoch 20/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 60ms/step - loss: 0.0031\n",
      "Epoch 21/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 60ms/step - loss: 0.0032\n",
      "Epoch 22/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 60ms/step - loss: 0.0029\n",
      "Epoch 23/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 60ms/step - loss: 0.0027\n",
      "Epoch 24/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 60ms/step - loss: 0.0023\n",
      "Epoch 25/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 60ms/step - loss: 0.0025\n",
      "Epoch 26/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 60ms/step - loss: 0.0022\n",
      "Epoch 27/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 61ms/step - loss: 0.0024\n",
      "Epoch 28/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 61ms/step - loss: 0.0024\n",
      "Epoch 29/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 61ms/step - loss: 0.0025\n",
      "Epoch 30/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 61ms/step - loss: 0.0023\n",
      "Epoch 31/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 61ms/step - loss: 0.0023\n",
      "Epoch 32/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 61ms/step - loss: 0.0023\n",
      "Epoch 33/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 61ms/step - loss: 0.0022\n",
      "Epoch 34/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 67ms/step - loss: 0.0020\n",
      "Epoch 35/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 64ms/step - loss: 0.0023\n",
      "Epoch 36/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 63ms/step - loss: 0.0023\n",
      "Epoch 37/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 62ms/step - loss: 0.0022\n",
      "Epoch 38/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 63ms/step - loss: 0.0019\n",
      "Epoch 39/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 63ms/step - loss: 0.0021\n",
      "Epoch 40/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 63ms/step - loss: 0.0021\n",
      "Epoch 41/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 62ms/step - loss: 0.0022\n",
      "Epoch 42/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 62ms/step - loss: 0.0019\n",
      "Epoch 43/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 63ms/step - loss: 0.0020\n",
      "Epoch 44/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 62ms/step - loss: 0.0020\n",
      "Epoch 45/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 62ms/step - loss: 0.0020\n",
      "Epoch 46/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 61ms/step - loss: 0.0020\n",
      "Epoch 47/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 62ms/step - loss: 0.0021\n",
      "Epoch 48/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 62ms/step - loss: 0.0017\n",
      "Epoch 49/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 61ms/step - loss: 0.0019\n",
      "Epoch 50/50\n",
      "\u001b[1m66/66\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 62ms/step - loss: 0.0020\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.src.callbacks.history.History at 0x209156d5c40>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(x,y, epochs = 50, batch_size =32, verbose =1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "62f9decd-83a6-4c03-8963-dc3298b2a104",
   "metadata": {},
   "outputs": [
    {
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ lstm (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>)                     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">100</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">50</span>)        │        <span style=\"color: #00af00; text-decoration-color: #00af00\">10,400</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">100</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">50</span>)        │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ lstm_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">100</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">60</span>)        │        <span style=\"color: #00af00; text-decoration-color: #00af00\">26,640</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">100</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">60</span>)        │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ lstm_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">100</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)        │        <span style=\"color: #00af00; text-decoration-color: #00af00\">45,120</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">100</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>)        │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ lstm_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">120</span>)            │        <span style=\"color: #00af00; text-decoration-color: #00af00\">96,480</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">120</span>)            │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)              │           <span style=\"color: #00af00; text-decoration-color: #00af00\">121</span> │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ lstm (\u001b[38;5;33mLSTM\u001b[0m)                     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m50\u001b[0m)        │        \u001b[38;5;34m10,400\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout (\u001b[38;5;33mDropout\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m50\u001b[0m)        │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ lstm_1 (\u001b[38;5;33mLSTM\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m60\u001b[0m)        │        \u001b[38;5;34m26,640\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_1 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m60\u001b[0m)        │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ lstm_2 (\u001b[38;5;33mLSTM\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m80\u001b[0m)        │        \u001b[38;5;34m45,120\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_2 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m80\u001b[0m)        │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ lstm_3 (\u001b[38;5;33mLSTM\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m120\u001b[0m)            │        \u001b[38;5;34m96,480\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_3 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m120\u001b[0m)            │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense (\u001b[38;5;33mDense\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)              │           \u001b[38;5;34m121\u001b[0m │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">536,285</span> (2.05 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m536,285\u001b[0m (2.05 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">178,761</span> (698.29 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m178,761\u001b[0m (698.29 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Optimizer params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">357,524</span> (1.36 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Optimizer params: \u001b[0m\u001b[38;5;34m357,524\u001b[0m (1.36 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "89cf9dc7-4e14-4c80-82bc-d6dcac8c98a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "pas_100_days = data_train.tail(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "67ef7a1e-63cc-4874-9b61-634026572822",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_test = pd.concat([pas_100_days, data_test], ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "7a0512e4-0eaf-4137-b61d-8bb0e48ca041",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_test_scale  =  scaler.fit_transform(data_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "536de9d0-2cc7-41dd-b500-affd3e3fec9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "x = []\n",
    "y = []\n",
    "\n",
    "for i in range(100, data_test_scale.shape[0]):\n",
    "    x.append(data_test_scale[i-100:i])\n",
    "    y.append(data_test_scale[i,0])\n",
    "x, y = np.array(x), np.array(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "4602f57f-8832-4bf6-a50e-bb5164ff7872",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 36ms/step\n"
     ]
    }
   ],
   "source": [
    "y_predict = model.predict(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ca2d2d64-b69a-4eb3-b4f6-5356bfb5b74a",
   "metadata": {},
   "outputs": [],
   "source": [
    "scale =1/scaler.scale_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b3e3794a-785d-4ac8-96a3-70fab6259f1c",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_predict = y_predict*scale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "5acb458b-7488-4860-9ccd-8999d67510f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "y = y*scale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "6ab280be-9494-4ea1-baf2-45fc38130366",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,8))\n",
    "plt.plot(y_predict, 'r', label = 'Predicted Price')\n",
    "plt.plot(y, 'g', label = 'Original Price')\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Price')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "22143940-722e-4c05-8b46-d2f7d9abb882",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.save('Stock Predictions Model.keras')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bd3bc001-da88-44ba-85d1-9b72ebfde3a6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}