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

Inactive Publication Date: 2017-01-25
洪志令
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Problems solved by technology

These methods are simple and intuitive, highly pertinent and operable. The disadvantage is that the analysis of charts and the selection of indicators mostly need to rely on the judgment of su

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  • Stock prediction method based on positive and negative related trend matching
  • Stock prediction method based on positive and negative related trend matching
  • Stock prediction method based on positive and negative related trend matching

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[0023] The present invention will be described in detail below with reference to the drawings and examples.

[0024] The method of the present invention mainly predicts the possible trend of each stock in the next one or two weeks in the near future, and the prediction result includes not only the forecast of closing price and daily fluctuation, but also the forecast of daily opening, highest and lowest.

[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 for each stock in the stock list S, there are the following data fields: opening price Open, closing price Close, highest price High, lowest price Low, and change, where the closing price Close is...

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Abstract

The invention discloses a stock prediction method based on positive and negative correlation trend matching. The main idea of ​​the method is to search for a strong correlation trend that is positively or negatively correlated with the historical data of all stocks to predict the trend of the stock in the near future, and based on the trend after the matching date of the relevant trend, positive or negative Restore the later trend of the stock to be predicted as its prediction result. The method predicts the possible trend of each stock in the next week or two. The forecast results include not only the daily closing price, rise and fall, but also the daily opening price, highest price, and lowest price. The final result of the method also provides a comparison chart of the positive and negative most relevant stocks and the original stocks to be predicted. The basically similar or opposite stock trends provide good decision support for short-term stock operations.

Description

technical field [0001] The invention relates to the technical field of stock data mining, in particular to a stock prediction method based on positive and negative correlation trend matching. Background technique [0002] The stock market is closely related to people's lives and economic development. How to effectively and accurately predict the stock price trend has always been a hot issue that people pay attention to. [0003] Commonly used technical analysis methods include K-line theory, wave theory, moving average theory and technical index analysis. These methods are simple and intuitive, and have strong pertinence and operability. The disadvantage is that the analysis of charts and the selection of indicators mostly rely on the judgment of subjective experience, and the analysis results are inevitably subjective. Many scholars have proposed a large number of new analysis methods for stock price forecasting, including time series analysis method ARMIA, securities inve...

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Application Information

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IPC IPC(8): G06Q40/04
CPCG06Q40/04
Inventor 洪志令
Owner 洪志令
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