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

Stock fluctuation prediction system

A technology for predicting system and volatility, applied in the field of information processing, can solve problems such as complex calculation process and inaccurate calculation results

Inactive Publication Date: 2017-07-07
四川倍发科技有限公司
View PDF1 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to propose a stock volatility forecasting system applied to ex ante risk management in view of the problems existing in the prior art, so as to solve the problems of complicated calculation process and inaccurate calculation results in the prior art

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 fluctuation prediction system
  • Stock fluctuation prediction system
  • Stock fluctuation prediction system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] As a preferred embodiment of the present invention, this embodiment discloses a stock volatility prediction system, including:

[0046] The stock market information receiving module is used to automatically receive and update all A-share market data on each trading day;

[0047] The stock fundamental data receiving module is used to regularly receive and update the fundamental data of all A shares;

[0048] The database integration cleaning module is used to connect and match stock quote information and stock fundamental information, and clean up and correct errors or deviations in the original database;

[0049] The volatility prediction model analysis and update module is used to establish a volatility prediction model, analyze and calculate data to obtain risk data and data updates.

[0050] The predictive system also includes:

[0051] The risk model database module is used to receive the risk information obtained by the volatility prediction model analysis and up...

Embodiment 2

[0083] As a preferred embodiment of the present invention, this embodiment discloses a stock volatility prediction system, including:

[0084] The stock market information receiving module is used to automatically receive and update all A-share market data on each trading day;

[0085] The stock fundamental data receiving module is used to regularly receive and update the fundamental data of all A shares;

[0086] The database integration cleaning module is used to connect and match stock quote information and stock fundamental information, and clean up and correct errors or deviations in the original database;

[0087] The volatility prediction model analysis and update module is used to establish a volatility prediction model, analyze and calculate data to obtain risk data and data updates.

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 present invention belongs to the information processing technical field and relates to a stock fluctuation prediction system. The system comprises a stock market information receiving module which is used for automatically receiving and updating the market data of all A-shares on each trading day, a stock fundamental data receiving module which is used for receiving and updating the fundamental data of all the A-shares regularly, a database integration and clearing module which is used for correlating and matching stock market information and stock fundamental information and clearing and correcting errors or deviations in an original database, and a fluctuation prediction model analysis and update module which is used for establishing a fluctuation rate prediction model, analyzing and calculating the data to obtain risk data and data updates. According to the stock fluctuation prediction system of the resent invention, the future risk of investment portfolios can be predicted based on the predictability of the model, so that investors can be facilitated to do the better beforehand risk management.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a stock volatility prediction system. Background technique [0002] Volatility is the degree of change in the indicator's return on asset investment, which can be divided into actual volatility and historical volatility. Actual volatility, also known as future volatility, refers to the measurement of the volatility of the return on investment within the validity period of the option. Since the return on investment is a random process, the actual volatility is always an unknown. In other words, the actual volatility cannot be accurately calculated in advance, and people can only obtain its estimated value through various methods. Historical volatility refers to the volatility shown by the return on investment over a period of time in the past, which is reflected by the historical data of the market price of the underlying asset in the past period of time (ie, the t...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q40/04
CPCG06Q10/04G06Q40/04
Inventor 赵天晏奇俸旻任品
Owner 四川倍发科技有限公司
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