Stock prediction method based on positive and negative related trend matching
A forecasting method and stock technology, applied in the fields of instruments, finance, data processing applications, etc., can solve problems such as unsatisfactory and subjective analysis results, and achieve the effect of good decision support
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[0023] The present invention will be described in detail below in conjunction with the accompanying drawings and examples.
[0024] The method of the present invention is mainly to predict the possible trend of each stock in the next week or two in the future, and the prediction results not only include the closing price and daily rise and fall predictions, but also include daily opening, highest and lowest predictions.
[0025] Suppose the stock list is S, S=[S 1 , S 2 ,...,S i ,...,S n ], n is the number of stocks in the stock pool, such as the number of listed stocks in China or the number of listed stocks in the United States.
[0026] For each stock, suppose the stock to be predicted is S m ,m=1,…,n The specific prediction steps are as follows.
[0027] 1. Stock data preprocessing.
[0028] Assume that each stock in the stock list S has the following data fields: opening price Open, closing price Close, highest price High, lowest price Low, and change, where the clo...
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