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Research on Automated Forex Trading System Based on BP Neural Network |
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Forex prediction
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Forex prediction engine: framework, modelling techniques and implementations. View 1 excerpt, cites methods.
A review and empirical analysis of neural networks based exchange rate prediction
Long short-term memory networks and laglasso for bond yield forecasting: Peeping inside the black box. View 1 excerpt, cites background.
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A single hidden layer feedforward network was established for foreign exchange rate prediction. Trading rules based on the prediction results was designed and realized.
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The optimized results are able to achieve good results in the training series. In the test series, the strategies are consistently profitable for at least the first twenty days.
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It is concluded that the BPNN based model do have the ability to make profits from the experimental currency pairs for the period investigated. Request Permissions. Sharma, V. Sharma, International Journal of Computer Applications, 43 : Sosvilla-Rivero, Economics Letters, 69 : Kiani, T. Kastens, Computational Economics, 32 : Nor, B. Gharleghi, K. Omar, and T. Philip, A. Taofiki, A. Mohapatra, B. Majhi, M. Chenoweth, Z. Obradovic, S.