An Effective Correlation-Based Pair Trading Strategy Using Genetic Algorithms

2021 ◽  
pp. 255-263
Author(s):  
Chun-Hao Chen ◽  
Wei-Hsun Lai ◽  
Tzung-Pei Hong
2009 ◽  
pp. 664-683
Author(s):  
Andrei Hryshko ◽  
Tom Downs

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. This chapter presents a novel trading system using Machine Learning methods of Genetic Algorithms and Reinforcement Learning. The system emulates trader behavior on the Foreign Exchange market and finds the most profitable trading strategy.


Author(s):  
Andrei Hryshko ◽  
Tom Downs

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. This chapter presents a novel trading system using Machine Learning methods of Genetic Algorithms and Reinforcement Learning. The system emulates trader behavior on the Foreign Exchange market and finds the most profitable trading strategy.


1996 ◽  
Vol 47 (4) ◽  
pp. 550-561 ◽  
Author(s):  
Kathryn A Dowsland
Keyword(s):  

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