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• W2752261528 abstract "In this study, the profitability of technical analysis and Bayesian Statistics in trading the EUR/USD, GBP/USD, and USD/JPY exchange rates are examined. For this purpose, seven thousand eight hundred forty-six technical rules are generated and their profitability is assessed through a novel data snooping procedure. Then, the most promising rules are combined with a Naive Bayes, a Relevance Vector Machines, Bayesian Model Averaging, a Bayesian Model Selection and a Bayesian regularised Neural Network model. In terms of our results, technical analysis has value in foreign exchange trading but the profit margins are small. On the other hand, Bayesian Statistics seems to increase the profitability of technical rules up to four times." @default.
• W2752261528 created "2017-09-15" @default.
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• W2752261528 date "2017-01-01" @default.
• W2752261528 modified "2023-09-27" @default.
• W2752261528 title "Trading the Foreign Exchange Market with Technical Analysis and Bayesian Statistics" @default.
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• W2752261528 doi "https://doi.org/10.2139/ssrn.3021021" @default.
• W2752261528 hasPublicationYear "2017" @default.
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