Foreign Exchange trading has emerged in recent times as a significant activity in many countries. As with most forms of trading, the activity is influenced by many random parameters so that the creation of a system that effectively emulates the trading process will be very helpful. In this paper we try to create such a system using Machine learning approach to emulate trader behaviour on the Foreign Exchange market and to find the most profitable trading strategy. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Hryshko, A., & Downs, T. (2005). A machine learning approach to intraday trading on foreign exchange markets. In Lecture Notes in Computer Science (Vol. 3578, pp. 588–595). Springer Verlag. https://doi.org/10.1007/11508069_76
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