A Novel Approach for Stock Market Price Prediction Based on Polynomial Linear Regression

Abstract

Every stock market investor wants to earn more profit from his/her investment. Investor tries different strategies to invest their money. Nowadays, many investors use computer algorithms based stock market prediction system to predict the future prices of stocks. Machine learning and artificial intelligence are one of the advanced and efficient techniques for stock price prediction. This paper will implement polynomial linear regression model and is compared with simple linear regression (SLR) machine learning model. The implementation and experimental results show that polynomial linear regression (PLR) model gives better prediction accuracy and results.