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Using Genetic Algorithms to Develop Investment Strategies

Using Genetic Algorithms to Develop Investment Strategies
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Copyright: 2021
Pages: 18
Source title: Genetic Algorithms and Applications for Stock Trading Optimization
Source Author(s)/Editor(s): Vivek Kapoor (Devi Ahilya University, Indore, India)and Shubhamoy Dey (Indian Institute of Management, Indore, India)
DOI: 10.4018/978-1-7998-4105-0.ch011

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Abstract

Genetic algorithms (GAs) are a powerful search technique. The use of genetic algorithms (GAs) will help in the development of better trading systems. The genetic algorithms (GAs) help the researcher to explore various combinations of trading rules or their parameters, which the human mind is unable to find. This chapter explains genetic algorithms (GAs) in brief and gives insight on how they find better trading strategies. Some of the manual trading strategies are good in nature. Genetic algorithms (GAs) only addition to them. Interfacing genetic algorithms (GAs) with stock trading systems or developing a combined model requires a large degree of imagination and creativity. It is an art not a scientific invention. Genetic algorithms (GAs) make use of computers to find various interesting trading systems.

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