Research on Comprehensive Analysis Method of Stock KDJ Index based on K-means Clustering

DOI

10.2991/icmeit-19.2019.78How to use a DOI?

Keywords

cluster analysis, K-means, KDJ index, stock analysis forecast.

Abstract

This paper proposed a K-means measure to cluster stocks, and predicted the investment of strong profitability objects through comprehensive analysis of KDJ indicators. The paper analyzed the clustering hierarchy diagram, as well as the inter-cluster similarity structure diagram of different cluster numbers. It is found that the clusters can be effectively distinguished for each type of stock. The comprehensive prediction precision of KDJ are better than each single index. The feasibility and effectiveness of the suggested method are verified by the example of the constituents of the CSI 800 Index. The quantitative investment model established by the analytical method in this paper has better prediction effect.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Baoyu Ding
AU  - Ling Li
AU  - Yunliang Zhu
AU  - Hui Liu
AU  - Junfeng Bao
AU  - Zezhu Yang
PY  - 2019/04
DA  - 2019/04
TI  - Research on Comprehensive Analysis Method of Stock KDJ Index based on K-means Clustering
BT  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 484
EP  - 491
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.78
DO  - 10.2991/icmeit-19.2019.78
ID  - Ding2019/04
ER  -