Towards the Automatic Evolutionary Prediction of the FOREX Market Behaviour

Karel Slaný
{"title":"Towards the Automatic Evolutionary Prediction of the FOREX Market Behaviour","authors":"Karel Slaný","doi":"10.1109/ICAIS.2009.31","DOIUrl":null,"url":null,"abstract":"In this paper a self-adapting architecture for FOREX market prediction, which is being developed, is described. The proposed system utilizes genetic programming (GP) for predictor representation. The goal of the system is the design and adaptation of simple predictors which can either be used by the system itself or be 'manually' used by a human trader.","PeriodicalId":161840,"journal":{"name":"2009 International Conference on Adaptive and Intelligent Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Adaptive and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIS.2009.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

In this paper a self-adapting architecture for FOREX market prediction, which is being developed, is described. The proposed system utilizes genetic programming (GP) for predictor representation. The goal of the system is the design and adaptation of simple predictors which can either be used by the system itself or be 'manually' used by a human trader.
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
走向外汇市场行为的自动演化预测
本文描述了一种正在开发的用于外汇市场预测的自适应体系结构。该系统利用遗传规划(GP)来表示预测器。该系统的目标是设计和调整简单的预测器,这些预测器既可以由系统本身使用,也可以由人类交易者“手动”使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Perspectives on Robotic Embodiment from a Developmental Cognitive Architecture A Learning Algorithm for Self-Organizing Maps Based on a Low-Pass Filter Scheme Particle Swarm Optimization with Velocity Adaptation Creating Complex, Adaptable Management Strategies via the Opportunistic Integration of Decentralised Management Resources A Multi-class Incremental and Decremental SVM Approach Using Adaptive Directed Acyclic Graphs
×
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