Developing a Machine Learning based Model to Predict Stock Prices

Abstract

The prediction of a stock market direction may serve as an early recommendation system for short-term investors and as an early financial distress warning system for long-term shareholders. Forecasting accuracy is the most important factor in selecting any forecasting method. Research efforts in improving the accuracy of forecasting models are increasing since the last decade. The appropriate stock selections that are suitable for investment are a very difficult task. The key factor for each investor is to earn maximum profits on their investments.