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|Title:||Foreign exchange prediction and trading using computational intelligence||Authors:||Xia, Bowen||Keywords:||DRNTU::Engineering::Electrical and electronic engineering::Electronic systems||Issue Date:||2014||Abstract:||Currently, with the expanding of foreign exchange market, more and more people begin to realize the importance of foreign exchange prediction, especially with advanced technology. This is a general review and comparison of different foreign exchange prediction systems that are based on computational intelligence. During those years, various methods have been carried out for the prediction and trading of foreign exchange based on computational intelligence. In this review, the analyses of different systems used for foreign exchange rate prediction and trading will be introduced, and their results will be compared as well. Moreover, different opinions will be stated where relevant research questions are to be expected. Key words: Foreign Exchange; Prediction; Trading; Computational Intelligence; Nonlinear time series data; Neural-fuzzy network; Genetic Algorithm; Support vector regression||URI:||http://hdl.handle.net/10356/65189||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
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