Trading the foreign exchange market with technical analysis and Bayesian Statistics

In this study, the profitability of technical analysis and Bayesian Statistics in trading EUR/USD, GBP/USD, USD/JPY exchange rates are examined. For purpose, seven thousand eight hundred forty-six rules generated, their is assessed through a data snooping procedure. Then, most promising combined with Naïve Bayes, Relevance Vector Machine, Dynamic Model Averaging, Selection regularized Neural Network model. The findings show that has value foreign trading, but profit margins small. On other hand, seems to increase up five times.