Systematic Literature Review: Stock Price Prediction Using Machine Learning and Deep Learning

Abstract

The application of machine learning in stock market forecasting is a new trend, which produces forecasts of the current stock marketprices by training on their prior values. This paper aims to implement Machine learning and Deep learning algorithms in real-time situations like stock price forecasting and prediction. The focus of this project is to forecast the stock price of Reliance Industries Limited (RELIANCE.NS) using the ARIMA model for up to 2 years and to predict the next day's stock price using Random Forest and LSTM to predict stock prices for test data. The following parameters were used to train the models: open, close, low, high, volume, and adjusted close.