K-Line Patterns’ Predictive Power Analysis Using the Methods of Similarity Match and Clustering
Joint Authors
Tao, Lv
Hao, Yongtao
Yijie, Hao
Chunfeng, Shen
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Stock price prediction based on K-line patterns is the essence of candlestick technical analysis.
However, there are some disputes on whether the K-line patterns have predictive power in academia.
To help resolve the debate, this paper uses the data mining methods of pattern recognition, pattern clustering, and pattern knowledge mining to research the predictive power of K-line patterns.
The similarity match model and nearest neighbor-clustering algorithm are proposed for solving the problem of similarity match and clustering of K-line series, respectively.
The experiment includes testing the predictive power of the Three Inside Up pattern and Three Inside Down pattern with the testing dataset of the K-line series data of Shanghai 180 index component stocks over the latest 10 years.
Experimental results show that (1) the predictive power of a pattern varies a great deal for different shapes and (2) each of the existing K-line patterns requires further classification based on the shape feature for improving the prediction performance.
American Psychological Association (APA)
Tao, Lv& Hao, Yongtao& Yijie, Hao& Chunfeng, Shen. 2017. K-Line Patterns’ Predictive Power Analysis Using the Methods of Similarity Match and Clustering. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1190069
Modern Language Association (MLA)
Tao, Lv…[et al.]. K-Line Patterns’ Predictive Power Analysis Using the Methods of Similarity Match and Clustering. Mathematical Problems in Engineering No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1190069
American Medical Association (AMA)
Tao, Lv& Hao, Yongtao& Yijie, Hao& Chunfeng, Shen. K-Line Patterns’ Predictive Power Analysis Using the Methods of Similarity Match and Clustering. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1190069
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190069