Stock Market Prediction Using Regression Algorithms

Abstract

“STOCK MARKET PREDICTION” is an attempt of trying to predict the future values of a
company stock. There are so many factors involved in the prediction of stock market. They are
physical, physiological, rational and irrational factors. We can predict the stock value with high
accuracy with the help of these factors. In this article, we use the historical data of stock prices of a
publicly listed company. Machine Learning algorithms is the best choice in current scenario to
such an application. This paper presents some of the machine learning algorithms suitable for its
implementation