Forecasting stock price of a company considering macroeconomic effect from news events

Abstract

Investment perspective, Stock Market is the most popular potential investment market around the globe currently, because of this reason the need of an effective stock prediction approach was a target of many researchers. Most of the previous approaches have adopted Artificial Neural Networks and Support Vector Machine, while some have got insights from other models as well. Above traditional approaches was lacking in precise predictions of stock price fluctuations. This paper reviews the previous approaches with different Machine Learning methods and suggests a predicting method using modified Artificial Neural Networks with consideration of macro-economic effects to promise better results in stock prediction.