Stock Market Prediction Using Supervised Machine Learning Algorithm

Abstract

AbstractThe financial market system is so complex for somebody to predict the result. Due to uncertain behavior of the stock price it has become more chal- lengeable. The conventional way is to predict the stock prices is by utilizing the historical information regarding the data. But prediction is very crucial for the investors to predict the asset in which they will get maximum benefit. This re- search paper focuses on various machine learning models for predicting the market. In this study the supervised ML algorithms such as Support Vector Ma- chine (SVM), Random Forest (RF), Decision Tree (DT) and Neural network (NN) has been taken for predicting the stock market. We have applied the above said algorithms over the stock market data from Bombay Stock Exchange (BSE) and the accuracy has been taken as the key parameter for suggesting the best algorithm to make a better prediction.KeywordsMLSVMRFNNBSE