CORC  > 广东外语外贸大学(超星)
Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review
Yong Hu; Kang Liu; Xiangzhou Zhang; Lijun Su; E.W.T. Ngai; Mei Liu
刊名Applied Soft Computing
2015
卷号Vol.36页码:534-551
关键词Literature review Evolutionary computation Algorithmic trading Stock trading rule Rule discovery Classification framework
ISSN号1568-4946
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/1922780
专题广东外语外贸大学(超星)
作者单位1.Department of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, Kansas City, KS 66160, USA
2.Department of Management and Marketing, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China
3.School of Business, Guangdong University of Foreign Studies, Higher Education Mega Center, Guangzhou 510006, PR China
4.School of Business, Sun Yat-sen University, China
5.a Big Data Decision Institute, Jinan University, Guangzhou, PR China
推荐引用方式
GB/T 7714
Yong Hu,Kang Liu,Xiangzhou Zhang,et al. Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review[J]. Applied Soft Computing,2015,Vol.36:534-551.
APA Yong Hu,Kang Liu,Xiangzhou Zhang,Lijun Su,E.W.T. Ngai,&Mei Liu.(2015).Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review.Applied Soft Computing,Vol.36,534-551.
MLA Yong Hu,et al."Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review".Applied Soft Computing Vol.36(2015):534-551.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace