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Method for recommending stock selection and avoiding risk based on strong correlation analysis of stock

A risk-averse, strongly correlated technology, applied in instrumentation, finance, data processing applications, etc., can solve problems such as differences in analysis results and unsatisfactory results of technical analysis applications

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

[0004] Technical analysis methods, such as moving average method, point-and-figure diagram method, K-line diagram method, etc., are simple and easy to grasp. However, since the stock market operation is a huge nonlinear system, the stock price trend is affected by politics, economy, psychology, etc. Affected by many factors, the analysis results of different people using technical analysis methods are significantly different, so the application results of technical analysis in stock selection and risk avoidance for ordinary investors are not ideal

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  • Method for recommending stock selection and avoiding risk based on strong correlation analysis of stock
  • Method for recommending stock selection and avoiding risk based on strong correlation analysis of stock
  • Method for recommending stock selection and avoiding risk based on strong correlation analysis of stock

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Embodiment Construction

[0022] The present invention will be described in detail below in conjunction with the accompanying drawings and examples.

[0023] The method of the invention firstly calculates the correlation between all stocks, and obtains the k nearest neighbor stocks for each stock, and the k stocks form a strong correlation class. When selecting a stock, when the user selects a certain stock, it will recommend better stocks in the strong correlation class of the stock combined with other conditions; when the user selects multiple stocks, it is judged whether these stocks are in the same strong correlation In the related category, it is suggested to avoid the risk of putting all eggs in one basket.

[0024] 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.

[0025] For any two stocks S in the stock pool i ,S j , where i, j=1,.....

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Abstract

The invention discloses a method for stock selection recommendation and risk avoidance based on stock strong correlation analysis. The method first preprocesses the data of the stock's rise and fall, and formats it into the [0,1] interval; then uses the dynamic time warping method to calculate the distance between two long-term series of unequal length; finally returns the stock to class, each stock's respective strongly correlated class. When selecting a stock, when the user selects a certain stock, it will recommend better stocks in the strong correlation class of the stock combined with other conditions; In the related category, it is suggested to avoid the risk of putting all eggs in one basket. The method of the invention is a stock selection method, which can provide decision support for the user's stock selection.

Description

technical field [0001] The invention relates to the technical field of stock data mining, in particular to a method for stock selection recommendation and risk avoidance based on stock strong correlation analysis. Background technique [0002] With the rapid development of my country's market economy, more and more investors have turned their attention to stocks, and stock investment has become an important way in personal financial management. Stocks can be circulated and transferred in the market. Stocks have the characteristics of high risk and high returns. Therefore, since the day they were produced, they have concerned the hearts of tens of millions of investors. Investors are always concerned about the fluctuations and development trends of stock prices. A hot issue in field research. [0003] Large returns and low risks are the goals pursued by securities investors. In order to achieve this goal, two types of investment analysis methods are commonly used, fundament...

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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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