摘 要:
给出了一种小波变换和移动平均线相结合的数据处理方法。该方法通过适当确定阈值,对高频部分进行适当选择性保留和小波基及尺度的遍历,可给出比传统分析方法更为合理的买入、卖出点信息,并可在一定程度上克服滞后的不足。利用“香山控股”股票进行了检验,发现理论结果与实际吻合得较好。[著者文摘]
文章出处:
《系统管理学报》-2007年16卷4期 -365-369页
Systems Engineering Theory·Methodology·Applications
栏目信息:
分 类 号:
文献标识码:
A
文章编号:
1005-2542(2007)04-0365-05
相关文章:
Wavelet Transform' Application in Stock Analysis
HUBo, WEI Hong-ru, LIAOFu-cheng (School of Applied Science, Beijing Univ. of Science and Technology, Beijing 100083, China)
Abstract:
The author builds the mathematical model of wavelet transform and Moving Average. Through the selection of the high frequent and the traversal of dilation and wavelet it denotes more reasonable signal of buy and sell than the traditional method and brings a better earning for the investor. Finally, we use the stock "xiangshankonggu" to verify the conclusion and it also produces good results.[著者文摘]
Key words:
wavelet transform dilation moving average traversal threshold
收稿日期: 2006-07-05
修订日期: 2007-01-22

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