Big Data Analytics for Price Prediction

Abstract

Big Data Predictive Analytics is influenced in the financial market mainly in stock exchange with its emerging technologies. Stock Market Prediction has always been one of the hottest topics in research, as well as a great challenge due to its complex and volatile nature. Stock or share prices are considered to be very dynamic and quick changes because of the underlying nature of financial domain. Therefore, there is a critical need in prediction approaches to be effective and efficient utilization of large amount of market data (Big Data) to analyze future prediction in stock price movement. In this paper, a hybrid prediction model is proposed for predicting daily basis stock price changes or movements. It is based on the combination of historical stock price data and text mining techniques which take the textual contents of Financial News Websites that have highly impacts on price movement.