A Study on the Motif Pattern of Dark-Cloud Cover in the Securities

Autor: Long Jing, Che Wen-Gang, Yu Ren, Zhou Zhi-Yuan
Jazyk: English<br />French
Rok vydání: 2017
Předmět:
Zdroj: MATEC Web of Conferences, Vol 139, p 00181 (2017)
Druh dokumentu: article
ISSN: 2261-236X
20171390
DOI: 10.1051/matecconf/201713900181
Popis: Morphological analysis is the analysis and mining of the graphics formed of the securities price changes. Investors need to forecast the trend of future before buying and selling points, which can avoid great loss. Therefore, the analysis of motif pattern of K-line in the form of futures investment technology analysis is very significant. Based on the thoughts of short-term trend clustering, this paper proposes a method of detecting the motif pattern of Dark-Cloud Cover in stock time series by analysing stock historic data and K-line shape, in order to predict the stock market trends. And we prove the effectiveness and practicality of the method by a series of experimental analysis.
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