外汇市场的遗传程序交易规则

N. Pavlidis, E. Pavlidis, M. N. Vrahatist
{"title":"外汇市场的遗传程序交易规则","authors":"N. Pavlidis, E. Pavlidis, M. N. Vrahatist","doi":"10.1201/9780429070655-105","DOIUrl":null,"url":null,"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.","PeriodicalId":350909,"journal":{"name":"Recent Progress in Computational Sciences and Engineering","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetically Programmed Trading Rules for the Foreign Exchange Market\",\"authors\":\"N. Pavlidis, E. Pavlidis, M. N. Vrahatist\",\"doi\":\"10.1201/9780429070655-105\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":350909,\"journal\":{\"name\":\"Recent Progress in Computational Sciences and Engineering\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Recent Progress in Computational Sciences and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1201/9780429070655-105\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Recent Progress in Computational Sciences and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/9780429070655-105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Genetically Programmed Trading Rules for the Foreign Exchange Market
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Computational approaches to supramolecular chemistry Characterization of Indoor Air Quality Using an Indoor/Outdoor Microenvironmental Model The Gradient Curves Method: An improved strategy for the derivation of molecular mechanics valence force fields from ab initio data On the Determinants of Optimal Capacity of Water Treatment Plants Operating within a Network Structural morphological and Cathodoluminescent properties of undoped and Erbium doped nanostructured ZnO deposited by Spray Pyrolysis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1