Genetically Programmed Trading Rules for the Foreign Exchange Market

N. Pavlidis, E. Pavlidis, M. N. Vrahatist
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Abstract

The identification of price patterns and trends, and the formation of rules to generate market signals have a long history in foreign exchange rate markets. Recent studies, however, question the profitability of the simple rules that have been shown to yield abnormal profits in previous decades. Rather than assuming a fixed set of rules, in this paper we employ genetic programming to identify rules in the Euro US Dollar daily exchange rate series over the period 1/1/1999 to 30/12/2005. Preliminary experimental results suggest that genetic programming is capable of generating profitable rules but for a limited time into the future.
外汇市场的遗传程序交易规则
识别价格模式和趋势,并形成规则以产生市场信号在外汇市场上有着悠久的历史。然而,最近的研究对这些简单规则的盈利能力提出了质疑,这些规则在过去几十年里已被证明产生了异常的利润。在本文中,我们没有假设一套固定的规则,而是使用遗传编程来识别1999年1月1日至2005年12月30日期间欧元美元每日汇率系列的规则。初步的实验结果表明,遗传编程能够产生有利可图的规则,但在未来的有限时间内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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