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Short-term stock forecasting method based on multi-similar stock voting statistics

A forecasting method and stock technology, applied in forecasting, calculation, instruments, etc., can solve problems such as not making full use of stock data, and achieve good results in stock trends

Inactive Publication Date: 2017-03-15
洪志令
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  • Abstract
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Problems solved by technology

These methods basically do research on a single stock, and do not make full use of all the stock data currently available.

Method used

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  • Short-term stock forecasting method based on multi-similar stock voting statistics
  • Short-term stock forecasting method based on multi-similar stock voting statistics

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Embodiment Construction

[0021] The present invention will be described in detail below in conjunction with the accompanying drawings and examples.

[0022] Short-term forecasts generally refer to forecasts within the last five trading days, such as 1-day forecasts, 2-day forecasts, and 3-day forecasts. The prediction of the method of the present invention includes not only the prediction of the rise and fall, but also the prediction of the rise and fall.

[0023] 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. For each stock, suppose the stock to be predicted is S m ,m=1,...,n The specific prediction steps are as follows.

[0024] 1. Obtain the data on the rise and fall of the stock to be predicted in the near future.

[0025] This step is mainly to obtain the recent trading day data of the stock to be predicted from the original stock da...

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Abstract

The invention discloses a short-term stock forecasting method based on multi-similar stock voting statistics. The main idea of the method is to predict the trends of stocks within a short term in order to match the historical data of all stocks segment by segment, search for the matching segment and the matching date corresponding to the first few stocks with highest similarity, averages the increase and decrease values of the stocks after the matching date, calculate the possible increase and decrease value in a late period, perform positive and negative voting statistics, and calculate the probability of possible increase and decrease. The method can be used to predict the recent increase and decrease values and increase and decrease probability of the stock so as to provide decision support for the short-term operation of the stock.

Description

technical field [0001] The invention relates to the technical field of stock data mining, in particular to a short-term stock prediction method based on voting statistics of multiple similar stocks. Background technique [0002] Stock investment is to obtain greater returns. However, due to the greater dynamic characteristics of the stock market, the return and risk of stock investment are often directly proportional. The higher the investment return, the greater the risk. Effectively predicting stock prices, avoiding stock risks to the greatest extent, and increasing investment returns are hot issues that stock investors are most concerned about. [0003] At present, stock forecasting methods mainly include traditional methods such as regression analysis, time series method, and Markov forecasting, as well as artificial intelligence forecasting methods such as support vector machines and neural networks. These methods basically do research on a single stock, and do not mak...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q40/04
CPCG06Q10/04G06Q40/04
Inventor 洪志令吴梅红
Owner 洪志令
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