STOCK MARKET ANALYSIS USING MACHINE LEARNING

Abstract

In this vast finance driven world stock trading is one of the most important and profitable activity. Stock forecast is the strategy for attempting to foresee the future estimation of an organisation stock or other money related resource of an organisation on a trade showcase . People invest in Stock markets based on suggestions which indirectly are based on predictions. Many methods like time-series analysis, statistical analysis and fundamental analysis are used in an attempt to predict but none of them are favourable for perfect prediction due to the volatile nature of the stock market. The programming language used in this context for analysis and prediction is Python and the prediction algorithm used in this context is Linear Regression to predict stock prices for various companies. This paper explains the prediction of stock using Machine Learning.