Geographical Research Bulletin
Online ISSN : 2758-1446
Proposals for genetic algorithm trading in exchange markets: Using Meta Trader 4
Bomen Sima
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JOURNAL OPEN ACCESS

2023 Volume 2 Pages 75-83

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Abstract
In the current foreign exchange investment world, automated trading is becoming popular using automated trading programs. It is essential to optimize the adopted technical indicators before running automated trading programs. Meta Trader 4 includes a genetic algorithm that optimizes the parameters of technical indicators so that optimal parameters can be read out. In this paper, we discuss the scope of the application of currency pairs and time feet in optimizing the parameters of technical indicators by genetic algorithms using Meta Traders 4. As a result, the method of optimizing the parameters of technical indicators by genetic algorithms to improve the stability of investment performance is effective. On the other hand, the same currency pair and the same built-in parameters also change the asset gain or loss of an investment due to the selection of trading hours. Also, embedded parameters can be thoroughly optimized for one currency or period only to have little effect on others.
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