Abstract
The stock's price of China Sport Industry was studied in this paper, and the theory of Weighted Chain was applied to forecast the stock's price. The main contents are as follows: Firstly, based on the historical data of China Sport Industry’ stock, Spss software was used to conduct fuzzy clustering analysis, and the known data was divided into six categories. Secondly, For the application of Weighted Chain, the historical data of the stock's closing price was tested about Markov Property. After testing that the stock's price of China industry satisfies Markov Property, state transition matrix was constructed using data .The weight values of every state were calculated with the method of Weighted Chain theory and prediction intervals of the industry's future stock prices were obtained. This article bases on the markov property of the stock price sequence and uses weighted markov model to predict the stock price change block, providing certain reference value for individual or collective investment. And this method has strong applicability.
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