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stock_prediction.py
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "accepting-cowboy",
"metadata": {},
"outputs": [],
"source": [
"#Imports\n",
"\n",
"import tensorflow as tf\n",
"\n",
"import keras\n",
"\n",
"import pandas as pd\n",
"\n",
"import numpy as np\n",
"\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline\n",
"\n",
"from matplotlib.pylab import rcParams\n",
"rcParams['figure.figsize']=20,10\n",
"\n",
"from keras.models import Sequential\n",
"\n",
"from keras.layers import LSTM,Dropout,Dense\n",
"\n",
"from sklearn.preprocessing import MinMaxScaler"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "stable-obligation",
"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>Last</th>\n",
" <th>Close</th>\n",
" <th>Total Trade Quantity</th>\n",
" <th>Turnover (Lacs)</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2018-10-08</td>\n",
" <td>208.00</td>\n",
" <td>222.25</td>\n",
" <td>206.85</td>\n",
" <td>216.00</td>\n",
" <td>215.15</td>\n",
" <td>4642146.0</td>\n",
" <td>10062.83</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2018-10-05</td>\n",
" <td>217.00</td>\n",
" <td>218.60</td>\n",
" <td>205.90</td>\n",
" <td>210.25</td>\n",
" <td>209.20</td>\n",
" <td>3519515.0</td>\n",
" <td>7407.06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2018-10-04</td>\n",
" <td>223.50</td>\n",
" <td>227.80</td>\n",
" <td>216.15</td>\n",
" <td>217.25</td>\n",
" <td>218.20</td>\n",
" <td>1728786.0</td>\n",
" <td>3815.79</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2018-10-03</td>\n",
" <td>230.00</td>\n",
" <td>237.50</td>\n",
" <td>225.75</td>\n",
" <td>226.45</td>\n",
" <td>227.60</td>\n",
" <td>1708590.0</td>\n",
" <td>3960.27</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2018-10-01</td>\n",
" <td>234.55</td>\n",
" <td>234.60</td>\n",
" <td>221.05</td>\n",
" <td>230.30</td>\n",
" <td>230.90</td>\n",
" <td>1534749.0</td>\n",
" <td>3486.05</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Date Open High Low Last Close Total Trade Quantity \\\n",
"0 2018-10-08 208.00 222.25 206.85 216.00 215.15 4642146.0 \n",
"1 2018-10-05 217.00 218.60 205.90 210.25 209.20 3519515.0 \n",
"2 2018-10-04 223.50 227.80 216.15 217.25 218.20 1728786.0 \n",
"3 2018-10-03 230.00 237.50 225.75 226.45 227.60 1708590.0 \n",
"4 2018-10-01 234.55 234.60 221.05 230.30 230.90 1534749.0 \n",
"\n",
" Turnover (Lacs) \n",
"0 10062.83 \n",
"1 7407.06 \n",
"2 3815.79 \n",
"3 3960.27 \n",
"4 3486.05 "
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#Read the dataset\n",
"\n",
"df=pd.read_csv(r\"D:\\Project\\NSE-Tata-Global-Beverages-Limited\\NSE-Tata-Global-Beverages-Limited.csv\")\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "hollywood-vienna",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x1ec094696d0>]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1152x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"#Analyze the closing prices\n",
"\n",
"df[\"Date\"]=pd.to_datetime(df.Date,format=\"%Y-%m-%d\")\n",
"df.index=df['Date']\n",
"\n",
"plt.figure(figsize=(16,8))\n",
"plt.plot(df[\"Close\"],label='Close Price history')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "continental-swift",
"metadata": {},
"outputs": [],
"source": [
"#Sort the dataset\n",
"\n",
"data=df.sort_index(ascending=True,axis=0)\n",
"\n",
"#Filter \"Date\" and \"Close Price\" columns\n",
"\n",
"new_dataset=pd.DataFrame(index=range(0,len(df)),columns=['Date','Close'])\n",
"\n",
"for i in range(0,len(data)):\n",
" new_dataset[\"Date\"][i]=data['Date'][i]\n",
" new_dataset[\"Close\"][i]=data[\"Close\"][i]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "informative-minutes",
"metadata": {},
"outputs": [],
"source": [
"#Normalize the new filtered dataset\n",
"\n",
"new_dataset.index=new_dataset.Date\n",
"new_dataset.drop(\"Date\",axis=1,inplace=True)\n",
"\n",
"final_dataset=new_dataset.values\n",
"\n",
"train_data=final_dataset[0:987,:]\n",
"valid_data=final_dataset[987:,:]\n",
"\n",
"scaler=MinMaxScaler(feature_range=(0,1))\n",
"scaled_data=scaler.fit_transform(final_dataset)\n",
"\n",
"x_train_data,y_train_data=[],[]\n",
"\n",
"for i in range(60,len(train_data)):\n",
" x_train_data.append(scaled_data[i-60:i,0])\n",
" y_train_data.append(scaled_data[i,0])\n",
" \n",
"x_train_data,y_train_data=np.array(x_train_data),np.array(y_train_data)\n",
"\n",
"x_train_data=np.reshape(x_train_data,(x_train_data.shape[0],x_train_data.shape[1],1))"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "danish-people",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"927/927 - 28s - loss: 0.0013\n"
]
},
{
"data": {
"text/plain": [
"<tensorflow.python.keras.callbacks.History at 0x1ec0aef81f0>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#Build and train the LSTM model\n",
"\n",
"lstm_model=Sequential()\n",
"lstm_model.add(LSTM(units=50,return_sequences=True,input_shape=(x_train_data.shape[1],1)))\n",
"lstm_model.add(LSTM(units=50))\n",
"lstm_model.add(Dense(1))\n",
"\n",
"inputs_data=new_dataset[len(new_dataset)-len(valid_data)-60:].values\n",
"inputs_data=inputs_data.reshape(-1,1)\n",
"inputs_data=scaler.transform(inputs_data)\n",
"\n",
"lstm_model.compile(loss='mean_squared_error',optimizer='adam')\n",
"lstm_model.fit(x_train_data,y_train_data,epochs=1,batch_size=1,verbose=2)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "hourly-guest",
"metadata": {},
"outputs": [],
"source": [
"#Make a prediction using the LSTM model\n",
"\n",
"X_test=[]\n",
"\n",
"for i in range(60,inputs_data.shape[0]):\n",
" X_test.append(inputs_data[i-60:i,0])\n",
" \n",
"X_test=np.array(X_test)\n",
"X_test=np.reshape(X_test,(X_test.shape[0],X_test.shape[1],1))\n",
"\n",
"predicted_closing_price=lstm_model.predict(X_test)\n",
"predicted_closing_price=scaler.inverse_transform(predicted_closing_price)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "annual-military",
"metadata": {},
"outputs": [],
"source": [
"lstm_model.save(\"saved_model.h5\")"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "accepted-dinner",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"<ipython-input-9-883283ac4865>:5: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" valid_data['Predictions']=predicted_closing_price\n"
]
},
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x1ec10c430a0>,\n",
" <matplotlib.lines.Line2D at 0x1ec10c43160>]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"#Visualize the results\n",
"\n",
"train_data=new_dataset[:987]\n",
"valid_data=new_dataset[987:]\n",
"valid_data['Predictions']=predicted_closing_price\n",
"plt.plot(train_data[\"Close\"])\n",
"plt.plot(valid_data[['Close',\"Predictions\"]])"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "academic-ozone",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
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