Portfolio selection based on technical trading rules optimized with a genetic algorithm

J. F. Kotowski, E. Szlachcic, P. M. Wańtowski
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引用次数: 1

Abstract

In this paper, we propose a portfolio selection method based on a set of technical trading rules, which are optimized by a genetic algorithm. The aim of the research was to check if it is possible to obtain a set of trading rules deriving from technical indicators, which could be used to create a portfolio able to outperform standard portfolio models based upon Modern Portfolio Theory. On the contrary to the typical portfolio approach incorporating expected return and variance, presented method relies on market momentum analysis and stock timing using selected technical indicators.
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基于遗传算法优化技术交易规则的投资组合选择
本文提出了一种基于技术交易规则集的投资组合选择方法,并利用遗传算法对技术交易规则集进行优化。研究的目的是检验是否有可能从技术指标中获得一套交易规则,这些规则可以用来创建一个能够超越基于现代投资组合理论的标准投资组合模型的投资组合。与典型的结合预期收益和方差的投资组合方法相反,该方法依赖于市场动量分析和使用选定技术指标的股票时机。
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