Title:
STOCK MARKET TREND ANALYSIS METHOD AND SYSTEM BASED ON STOCK CORRELATION ALGORITHM
Document Type and Number:
WIPO Patent Application WO/2020/124594
Kind Code:
A1
Abstract:
A stock market trend analysis method and system based on a stock correlation algorithm, belonging to the technical field of data processing. The method comprises: calculating an individual share price limit on that day, and normalizing the individual share price limit to a relative score of an individual share; calculating the correlation between individual shares according to the relative score of an individual share; according to the correlation between the individual shares, calculating a block composed of similar individual shares according to a preset algorithm; confirming the individual shares in the block as core shares; and according to the confirmed core shares, calculating a stock market structural trend indicator within a preset period, and outputting the stock market structural trend indicator in a preset form. The stock market trend analysis method and system based on a stock correlation algorithm can improve the accuracy of stock market development trend analysis.
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Inventors:
LIU JUN (CN)
YANG QIHUA (CN)
YANG QIHUA (CN)
Application Number:
PCT/CN2018/122844
Publication Date:
June 25, 2020
Filing Date:
December 21, 2018
Export Citation:
Assignee:
SHENZHEN PIPORT INVESTMENT MAN CO LTD (CN)
International Classes:
G06Q40/00; G06Q10/00
Foreign References:
| CN107918813A | 2018-04-17 | |||
| CN108536748A | 2018-09-14 | |||
| CN105956703A | 2016-09-21 | |||
| US20110320383A1 | 2011-12-29 |
Other References:
ZHANG, LAIJUN ET AL.: "Empirical Analysis of Relevance of Stock Indicators Based on Complex Network Theory", CHINESE JOURNAL OF MANAGEMENT SCIENCE, vol. 22, no. 12, 31 December 2014 (2014-12-31), XP055715607, ISSN: 1003-207X
Attorney, Agent or Firm:
SHINY INTELLECTUAL PROPERTY FIRM (CN)
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