STOCK PREDICTION USING LSTM TECHNIQUE

STOCK PREDICTION USING LSTM TECHNIQUE

Himanshu Srivastava, Shivangini Rathour, Mohd Shahjeb Khan, Ayushiraj Srivastava, Mohd Saeid, Mohd Saquib, Prof. Krishna Joshi

Department of Computer Science and Engineering,

 Babu Banarasi DaS NORTHRN INDIAN INSTITUE OF TECHNOLOGY,

 Lucknow, Uttar Pradesh

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Abstract -We attempt to use a machine learning approach to anticipate stock prices in this project. When it comes to stock price predictions, machine learning works well. The goal is to forecast future stock prices. make more accurate and better investment decisions We propose incorporating mathematical functions into stock prices. To arrive at an acceptable timescale, examine the prediction system, machine learning, and other external factors. delivers accurate stock predictions and lucrative trades There are some There are two types of stocks. Day trading is another name for intraday trading. The phrase "day trading" was thrown around. Interday traders invest in a diverse range of assets. at least one day after another, and frequently for several days or weeks, LSTMs are quite effective in solving sequence prediction problems. because they may store information from the past.

Key Words: Stock Price Prediction, LSTM, Neural Network, RNN, SVR