Prediction of Stock Market Using Financial News Analysis and Supervised Data Mining Technique
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 6
Abstract
Financial news articles play very important role in stock market prediction because these financial news affect the decision of investor. Decision making for investor in stock market is considered to be one of the difficult task, because, stock market behaviour is dynamic. The nonlinear nature of the stock market data makes it very difficult to design a system that can predict the future direction of the stock market with sufficient accuracy. Thus we introduce system that used hybrid approach of classification rule of data mining and financial news articles effects. Here we used four years index points of BSE and analyze it for stock price prediction. In this paper we show significant correlation between the changes in daily stock index values and the effect of financial news to the prediction of stock market prices.
Authors and Affiliations
Soniya Dewangan, S R Tandan, Shagufta Farzana, Rohit Miri
Keywords
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