Artificial Intelligence Based Stock Price Prediction Using Machine Learning

Abstract

Stock market has been the Centre of attraction for investors for a long period of time. The investor’s goal is to buy the stock, hold it for a period, and then, sell the stock for more investor paid for it. Many people invest to create wealth and to gain a rich reward. By investing in the stock market, it will improve the returns equity. In this project, the main focus is to predict the future stock price movement for more company listed in India. This project used eight months daily basis of historical data to model the relationship using long short term memory (LSTM). By using logistic regression, stock market movement able to predict the stock price movement, either an increasing trend or unchanged or decreasing movement. In this work, LSTM techniques have been utilized for predicting the next day closing price for five companies belonging to different sectors of operation. The financial data: Open, High, Low and Close prices of stock are used for creating new variables which are used as inputs to the model.