Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Stock price trend prediction method and system

A forecasting method and trend technology, applied in the field of stock price trend forecasting methods and systems, can solve the problems of poor forecasting stability, time-consuming, impractical, etc., and achieve the effects of good forecasting stability, reduced time-consuming, and strong practicability

Inactive Publication Date: 2017-05-10
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is that it is very difficult for people in the non-economic field to perform stock selection operations on stocks and conduct trading transactions at an appropriate time in order to obtain income, and to a certain extent, the stock price trend prediction in the prior art is Long time, impractical, poor predictive stability

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Stock price trend prediction method and system
  • Stock price trend prediction method and system
  • Stock price trend prediction method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0059] Such as figure 1 As shown, a method for predicting stock price trend provided by an embodiment of the present invention, the method includes the following steps:

[0060] S1, obtaining stock historical information;

[0061] S2, query and call the stock historical information, and select multiple candidate factors;

[0062] Specifically, the financial data in the stock historical information is queried and called, and multiple candidate factors are selected.

[0063] S3, check the validity of the selected multiple candidate factors through the stock historical information according to the Pearson coefficient, and check out the effective factors;

[0064] S4, constructing a multi-factor model based on effect...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention belongs to the technical field of computer applications, and particularly relates to a stock price trend prediction method and system. The method comprises the following steps of S1, obtaining stock history information; S2, performing query calling on the stock history information, and selecting a plurality of candidate factors; S3, performing validity check on the selected candidate factors according to a Pearson coefficient through the stock history information to obtain effective factors; S4, building a multifactor model according to the effective factors and the stock history information; and S5, screening stocks according to the multifactor model, and selecting high-quality stocks. According to the method and the system, simple and easy stock selection operation is realized and a bargaining transaction is performed at a proper time, so that benefits are obtained and consumed time is shortened to a certain extent; and moreover, the practicality is high and the prediction stability is high.

Description

technical field [0001] The invention belongs to the field of computer application technology, and in particular relates to a stock price trend prediction method and system. Background technique [0002] According to historical stocks, the prediction of future stock price development direction and the degree of rise and fall is called stock price trend forecasting. At present, there are some analysis methods for stock price forecasting, but many algorithms will be introduced, which are very complicated and difficult to understand, making people in non-economic fields It is difficult to select stocks and buy and sell stocks at the right time to obtain income, and to a certain extent, it takes a long time, is not practical, and has poor prediction stability. Contents of the invention [0003] The technical problem to be solved by the present invention is that it is very difficult for people in the non-economic field to perform stock selection operations on stocks and conduct ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q40/04
CPCG06Q40/04
Inventor 金学波王英波刘天意刘晨
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products