@article{(Open Science Index):https://publications.waset.org/pdf/10000731, title = {Novel GPU Approach in Predicting the Directional Trend of the S&P 500}, author = {A. J. Regan and F. J. Lidgey and M. Betteridge and P. Georgiou and C. Toumazou and K. Hayatleh and J. R. Dibble}, country = {}, institution = {}, abstract = {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. }, journal = {International Journal of Economics and Management Engineering}, volume = {8}, number = {8}, year = {2014}, pages = {2753 - 2756}, ee = {https://publications.waset.org/pdf/10000731}, url = {https://publications.waset.org/vol/92}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 92, 2014}, }