{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7dfcfa25-c993-462e-ba63-c473512962f3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2026-05-13 20:39:23.304544: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n",
      "2026-05-13 20:39:23.627673: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
      "To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "2026-05-13 20:39:24.918016: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "tf.config.set_visible_devices([], 'GPU')\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "87ca7138-fe3d-46e5-ac3c-85d74242b988",
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "    <tr>\n",
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      ],
      "text/plain": [
       "         Date        Open        High         Low       Close   Volume\n",
       "0  12/19/2016  790.219971  797.659973  786.270020  794.200012  1225900\n",
       "1  12/20/2016  796.760010  798.650024  793.270020  796.419983   925100\n",
       "2  12/21/2016  795.840027  796.676025  787.099976  794.559998  1208700\n",
       "3  12/22/2016  792.359985  793.320007  788.580017  791.260010   969100\n",
       "4  12/23/2016  790.900024  792.739990  787.280029  789.909973   623400"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df= pd.read_csv('goog.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a50f28fd-a9a9-492c-a87e-b911d3a4fd62",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 61 entries, 0 to 60\n",
      "Data columns (total 6 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   Date    61 non-null     object \n",
      " 1   Open    61 non-null     float64\n",
      " 2   High    61 non-null     float64\n",
      " 3   Low     61 non-null     float64\n",
      " 4   Close   61 non-null     float64\n",
      " 5   Volume  61 non-null     int64  \n",
      "dtypes: float64(4), int64(1), object(1)\n",
      "memory usage: 3.0+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "df19760c-a6b8-4439-a2e2-8acb419a2d72",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Date'] = pd.to_datetime(df['Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c499ba6a-dc0d-4001-99cc-dbdadf852fc9",
   "metadata": {},
   "outputs": [
    {
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       "  <tbody>\n",
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       "      <td>790.219971</td>\n",
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       "      <td>794.200012</td>\n",
       "      <td>1225900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-12-20</td>\n",
       "      <td>796.760010</td>\n",
       "      <td>798.650024</td>\n",
       "      <td>793.270020</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-12-21</td>\n",
       "      <td>795.840027</td>\n",
       "      <td>796.676025</td>\n",
       "      <td>787.099976</td>\n",
       "      <td>794.559998</td>\n",
       "      <td>1208700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-12-22</td>\n",
       "      <td>792.359985</td>\n",
       "      <td>793.320007</td>\n",
       "      <td>788.580017</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-12-23</td>\n",
       "      <td>790.900024</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date        Open        High         Low       Close   Volume\n",
       "0 2016-12-19  790.219971  797.659973  786.270020  794.200012  1225900\n",
       "1 2016-12-20  796.760010  798.650024  793.270020  796.419983   925100\n",
       "2 2016-12-21  795.840027  796.676025  787.099976  794.559998  1208700\n",
       "3 2016-12-22  792.359985  793.320007  788.580017  791.260010   969100\n",
       "4 2016-12-23  790.900024  792.739990  787.280029  789.909973   623400"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "30e85d78-b4c4-4110-9bcf-a7078aafdba0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 61 entries, 0 to 60\n",
      "Data columns (total 6 columns):\n",
      " #   Column  Non-Null Count  Dtype         \n",
      "---  ------  --------------  -----         \n",
      " 0   Date    61 non-null     datetime64[ns]\n",
      " 1   Open    61 non-null     float64       \n",
      " 2   High    61 non-null     float64       \n",
      " 3   Low     61 non-null     float64       \n",
      " 4   Close   61 non-null     float64       \n",
      " 5   Volume  61 non-null     int64         \n",
      "dtypes: datetime64[ns](1), float64(4), int64(1)\n",
      "memory usage: 3.0 KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "59bbd260-4dab-45de-b999-02074785a611",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x785d302cc4f0>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.plot(df['Date'], df['Open'], color = 'blue')\n",
    "plt.plot(df['Date'], df['Close'], color = 'red')\n",
    "plt.plot(df['Date'], df['High'], color = 'green')\n",
    "plt.plot(df['Date'], df['Low'], color = 'yellow')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "003a1c96-5862-433d-9037-58722b71d216",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(14, 5))\n",
    "\n",
    "plt.plot(df['Date'], df['Open'],  label='Open',  color='blue')\n",
    "plt.plot(df['Date'], df['High'],  label='High',  color='green')\n",
    "plt.plot(df['Date'], df['Low'],   label='Low',   color='red')\n",
    "plt.plot(df['Date'], df['Close'], label='Close', color='orange')\n",
    "\n",
    "plt.title('Stock Prices Over Time')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Price (USD)')\n",
    "plt.legend()\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "18da4d5b-bc94-421d-8490-a7910fab7b7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler, StandardScaler\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a2aee4d-99b9-4359-8256-cc7d14b87a5e",
   "metadata": {},
   "source": [
    "The scaler fits to the entire dataset range, so 0.0 = the global minimum price across all rows, and 1.0 = the global maximum. This matters when you inverse_transform at the end."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "67a578f0-d3df-4083-b6ea-54c6bb5cf216",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         Open        High         Low       Close\n",
      "0  790.219971  797.659973  786.270020  794.200012\n",
      "1  796.760010  798.650024  793.270020  796.419983\n",
      "2  795.840027  796.676025  787.099976  794.559998\n",
      "3  792.359985  793.320007  788.580017  791.260010\n",
      "4  790.900024  792.739990  787.280029  789.909973\n"
     ]
    }
   ],
   "source": [
    "mxn = MinMaxScaler()\n",
    "data = df.drop('Date', axis=1)\n",
    "data = data.drop('Volume', axis=1)\n",
    "print(data.head())\n",
    "scaled_df = mxn.fit_transform(data)\n",
    "\n",
    "# scaled_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "607ccc25-8512-4bca-8c04-09e43b4871db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[0.15673043, 0.2107044 , 0.20678024, 0.27870496],\n",
       "        [0.24656614, 0.22472382, 0.29804489, 0.30635093],\n",
       "        [0.23392901, 0.19677141, 0.21760105, 0.28318798],\n",
       "        ...,\n",
       "        [0.3938185 , 0.40277502, 0.47301204, 0.44906604],\n",
       "        [0.38832451, 0.3449446 , 0.390613  , 0.4083435 ],\n",
       "        [0.37087919, 0.33170475, 0.39869638, 0.42652559]],\n",
       "\n",
       "       [[0.24656614, 0.22472382, 0.29804489, 0.30635093],\n",
       "        [0.23392901, 0.19677141, 0.21760105, 0.28318798],\n",
       "        [0.18612623, 0.1492492 , 0.23689754, 0.24209223],\n",
       "        ...,\n",
       "        [0.38832451, 0.3449446 , 0.390613  , 0.4083435 ],\n",
       "        [0.37087919, 0.33170475, 0.39869638, 0.42652559],\n",
       "        [0.36140112, 0.3780792 , 0.40925698, 0.37801975]],\n",
       "\n",
       "       [[0.23392901, 0.19677141, 0.21760105, 0.28318798],\n",
       "        [0.18612623, 0.1492492 , 0.23689754, 0.24209223],\n",
       "        [0.16607182, 0.14103599, 0.21994854, 0.22527981],\n",
       "        ...,\n",
       "        [0.37087919, 0.33170475, 0.39869638, 0.42652559],\n",
       "        [0.36140112, 0.3780792 , 0.40925698, 0.37801975],\n",
       "        [0.38598874, 0.34168714, 0.407823  , 0.41344979]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[0.55206057, 0.56952668, 0.594394  , 0.60560414],\n",
       "        [0.55700542, 0.56952668, 0.62659701, 0.58729739],\n",
       "        [0.5648352 , 0.58935143, 0.63324641, 0.6518054 ],\n",
       "        ...,\n",
       "        [0.88557751, 0.87977837, 0.90078248, 0.88953927],\n",
       "        [0.89546722, 0.93323384, 0.94967426, 0.91805706],\n",
       "        [0.89052237, 0.9127721 , 0.91773147, 0.91905354]],\n",
       "\n",
       "       [[0.55700542, 0.56952668, 0.62659701, 0.58729739],\n",
       "        [0.5648352 , 0.58935143, 0.63324641, 0.6518054 ],\n",
       "        [0.60728063, 0.64131947, 0.66812318, 0.70049824],\n",
       "        ...,\n",
       "        [0.89546722, 0.93323384, 0.94967426, 0.91805706],\n",
       "        [0.89052237, 0.9127721 , 0.91773147, 0.91905354],\n",
       "        [0.94478079, 0.93245512, 0.91734076, 0.93872997]],\n",
       "\n",
       "       [[0.5648352 , 0.58935143, 0.63324641, 0.6518054 ],\n",
       "        [0.60728063, 0.64131947, 0.66812318, 0.70049824],\n",
       "        [0.68475253, 0.71750193, 0.75541061, 0.74520517],\n",
       "        ...,\n",
       "        [0.89052237, 0.9127721 , 0.91773147, 0.91905354],\n",
       "        [0.94478079, 0.93245512, 0.91734076, 0.93872997],\n",
       "        [0.96456104, 0.96389057, 0.98722321, 0.95840639]]],\n",
       "      shape=(41, 20, 4))"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create_sequences is used in building many pairs of:\n",
    "# x: past 60 days of features (Open, High, Low, Close)\n",
    "# y: today's Close price\n",
    "import numpy as np\n",
    "\n",
    "index_of_column_to_set_as_to_be_predicted = 3 # close\n",
    "idx = index_of_column_to_set_as_to_be_predicted\n",
    "\n",
    "def create_set(data, idx=idx, seq_len = 20):\n",
    "    x, y = [], []\n",
    "\n",
    "    for i in range(seq_len, len(data)):\n",
    "        x.append(data[i-seq_len: i])\n",
    "        y.append(data[i, idx])\n",
    "\n",
    "    return np.array(x), np.array(y)\n",
    "\n",
    "x, y = create_set(scaled_df)\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1b6cfa50-4413-4247-b1b3-385765bdbc55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.37801975, 0.41344979, 0.5914072 , 0.64819422, 0.79514303,\n",
       "       0.75130792, 0.64122041, 0.37982571, 0.31095859, 0.29732258,\n",
       "       0.33262797, 0.36948926, 0.36762172, 0.43773312, 0.4552927 ,\n",
       "       0.4699875 , 0.52117039, 0.59053537, 0.60560414, 0.58729739,\n",
       "       0.6518054 , 0.70049824, 0.74520517, 0.73399766, 0.74109613,\n",
       "       0.70759672, 0.71556701, 0.63997538, 0.7897882 , 0.73237866,\n",
       "       0.7130762 , 0.69688705, 0.74831849, 0.79140719, 0.8326276 ,\n",
       "       0.88953927, 0.91805706, 0.91905354, 0.93872997, 0.95840639,\n",
       "       1.        ])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f68975ac-f25b-4f9a-bd16-c61d7febb8ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "split = int(len(x)*0.8)\n",
    "\n",
    "x_train, x_test = x[:split], x[split:]\n",
    "y_train, y_test = y[:split], y[split:]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a2ccef01-41b9-424a-9cc7-492481b51977",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.layers import  LSTM, Dropout, Dense\n",
    "from tensorflow.keras.models import Sequential\n",
    "\n",
    "# help(LSTM)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ca0b385e-dd4a-4799-9460-2695a8f5219c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "32\n",
      "20\n",
      "4\n",
      "32\n"
     ]
    }
   ],
   "source": [
    "print(x_train.shape[0]) \n",
    "print(x_train.shape[1]) \n",
    "print(x_train.shape[2]) \n",
    "print(y_train.shape[0]) \n",
    "# print(y_train.shape[1]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "859d2f3b-7b13-4d7f-8fa8-dc4806942852",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/soham/anaconda3/envs/jupyter_env/lib/python3.10/site-packages/keras/src/layers/rnn/rnn.py:199: 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_tf = Sequential([\n",
    "    LSTM(64, return_sequences=True, input_shape=(x_train.shape[1], x_train.shape[2])),\n",
    "    Dropout(0.2),\n",
    "    LSTM(64),\n",
    "    Dropout(0.2),\n",
    "    Dense(1)\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "83d1108f-bf7c-41e7-a181-6ec80b89a3f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.optimizers import Adam\n",
    "\n",
    "model_tf.compile(loss='mean_squared_error', optimizer=Adam())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "14eab3d0-7075-46fb-a530-6fc885ce3f69",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2026-05-13 20:39:27.617837: I external/local_xla/xla/service/service.cc:163] XLA service 0x785c7c013bb0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n",
      "2026-05-13 20:39:27.617854: I external/local_xla/xla/service/service.cc:171]   StreamExecutor device (0): Host, Default Version\n",
      "2026-05-13 20:39:27.649382: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1s/step - loss: 0.3474"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
      "I0000 00:00:1778684968.216658  264496 device_compiler.h:196] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 2s/step - loss: 0.3474 - val_loss: 0.4875\n",
      "Epoch 2/10\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 49ms/step - loss: 0.2250 - val_loss: 0.2777\n",
      "Epoch 3/10\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 50ms/step - loss: 0.1217 - val_loss: 0.1200\n",
      "Epoch 4/10\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 51ms/step - loss: 0.0585 - val_loss: 0.0247\n",
      "Epoch 5/10\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 49ms/step - loss: 0.0305 - val_loss: 0.0036\n",
      "Epoch 6/10\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 52ms/step - loss: 0.0365 - val_loss: 0.0292\n",
      "Epoch 7/10\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 48ms/step - loss: 0.0671 - val_loss: 0.0371\n",
      "Epoch 8/10\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 51ms/step - loss: 0.0809 - val_loss: 0.0241\n",
      "Epoch 9/10\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 53ms/step - loss: 0.0649 - val_loss: 0.0084\n",
      "Epoch 10/10\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 53ms/step - loss: 0.0464 - val_loss: 0.0021\n"
     ]
    }
   ],
   "source": [
    "history = model_tf.fit(\n",
    "    x_train, y_train,\n",
    "    validation_data = (x_test, y_test),\n",
    "    epochs = 10,\n",
    "    batch_size=32,\n",
    "    verbose=1\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "575f5403-54b9-473c-a588-40f2fd4fdf67",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 227ms/step\n"
     ]
    }
   ],
   "source": [
    "y_pred = model_tf.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b8299fab-b30a-4df6-bf1b-f7c74255fedd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# dummy scaler to inverse transform Close column only\n",
    "close_scaler = MinMaxScaler()\n",
    "\n",
    "# close_scaler.min_, close_scaler.scale_ = mxn.min_, mxn.scale_\n",
    "# copy over the min_ and scale_ values for the Close column from the original scaler (index 3)\n",
    "close_scaler.min_, close_scaler.scale_ = mxn.min_[3:4], mxn.scale_[3:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "8d1d1e70-998a-459f-ba67-7dc6ef9e4fdb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.74831849, 0.79140719, 0.8326276 , 0.88953927, 0.91805706,\n",
       "       0.91905354, 0.93872997, 0.95840639, 1.        ])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predicted_values = close_scaler.inverse_transform(y_pred)\n",
    "# actual_values = closer_scaler.inverse_transform(y_test)\n",
    "y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "1c98f67f-21ad-4de6-91f0-7bbf67f74bf1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.74831849],\n",
       "       [0.79140719],\n",
       "       [0.8326276 ],\n",
       "       [0.88953927],\n",
       "       [0.91805706],\n",
       "       [0.91905354],\n",
       "       [0.93872997],\n",
       "       [0.95840639],\n",
       "       [1.        ]])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test.reshape(-1, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "3f6032f3-a9ed-4b0b-bdd6-d76638ef2a72",
   "metadata": {},
   "outputs": [],
   "source": [
    "actual_values = close_scaler.inverse_transform(y_test.reshape(-1, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f726e8ef-8ba9-46b8-aeda-8ec240a3cb08",
   "metadata": {},
   "outputs": [],
   "source": [
    "# predicted_values = y_pred.flatten()\n",
    "# actual_values = y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "3a638e7d-ab87-4a38-b08e-06618c2e9988",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "plt.plot(actual_values, label='actual')\n",
    "plt.plot(predicted_values, label='predicted')\n",
    "plt.title(\"Google Stock Price Prediction\")\n",
    "plt.xlabel(\"Time\")\n",
    "plt.ylabel(\"Close Price\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d3eb6f76-6b4c-45ee-946b-ab96d6a48706",
   "metadata": {},
   "outputs": [],
   "source": [
    "# from tensorflow.keras.models import Sequential\n",
    "# from tensorflow.keras.layers import SimpleRNN, LSTM, Dense, Dropout\n",
    "# # Build Simple RNN model\n",
    "# model_rnn = Sequential()\n",
    "\n",
    "# model_rnn.add(SimpleRNN(64, return_sequences=True, input_shape=(X_train.shape[1], 1)))\n",
    "# model_rnn.add(Dropout(0.2))\n",
    "# model_rnn.add(SimpleRNN(32))\n",
    "# model_rnn.add(Dropout(0.2))\n",
    "# model_rnn.add(Dense(1))\n",
    "\n",
    "# model_rnn.compile(optimizer='adam', loss='mean_squared_error')\n",
    "\n",
    "# # Train RNN\n",
    "# history_rnn = model_rnn.fit(X_train, y_train, epochs=30)"
   ]
  }
 ],
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