Using news articles of foreign exchange to predict stock prices by SVMs

Abstract

We propose a method to predict stock prices by SVMs using news on foreign exchange rates on the Web. Our method targets Japanese news and stocks. We compare several parameters for predicting the span, and fixed span to 50 minutes. We then apply the proposed method to 15 different stock issues from Nikkei 225. Although our preliminary results are encouraging, we plan to further improve the accuracy of our approach in future.