%0 Journal Article %A A. J. Regan and F. J. Lidgey and M. Betteridge and P. Georgiou and C. Toumazou and K. Hayatleh and J. R. Dibble %D 2014 %J International Journal of Economics and Management Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 92, 2014 %T Novel GPU Approach in Predicting the Directional Trend of the S&P 500 %U https://publications.waset.org/pdf/10000731 %V 92 %X Our goal is development of an algorithm capable of predicting the directional trend of the Standard and Poor’s 500 index (S&P 500). Extensive research has been published attempting to predict different financial markets using historical data testing on an in-sample and trend basis, with many authors employing excessively complex mathematical techniques. In reviewing and evaluating these in-sample methodologies, it became evident that this approach was unable to achieve sufficiently reliable prediction performance for commercial exploitation. For these reasons, we moved to an out-ofsample strategy based on linear regression analysis of an extensive set of financial data correlated with historical closing prices of the S&P 500. We are pleased to report a directional trend accuracy of greater than 55% for tomorrow (t+1) in predicting the S&P 500. %P 2753 - 2756