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System for foreign exchange trading using genetic algorithms and reinforcement learning.
- Source :
-
International Journal of Systems Science . 10/20/2004, Vol. 35 Issue 13/14, p763-774. 12p. - Publication Year :
- 2004
-
Abstract
- Foreign exchange trading has emerged recently 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. A major issue for traders in the deregulated Foreign Exchange Market is when to sell and when to buy a particular currency in order to maximize profit. This paper presents novel trading strategies based on the machine learning methods of genetic algorithms and reinforcement learning. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00207721
- Volume :
- 35
- Issue :
- 13/14
- Database :
- Academic Search Index
- Journal :
- International Journal of Systems Science
- Publication Type :
- Academic Journal
- Accession number :
- 15851120
- Full Text :
- https://doi.org/10.1080/00207720412331303697