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

Market risk monitoring method and system based on knowledge graph

A technology of risk monitoring and knowledge mapping, which is applied in the direction of data error detection, response error generation, and instrumentation in the direction of redundancy in computing, which can solve the problems of untimely risk processing, high difficulty of monitoring, and dependence on manual monitoring, etc.

Pending Publication Date: 2022-07-29
HUIZHOU UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention provides a market risk monitoring method and system based on a knowledge graph, which solves the technical problems that the existing market risk monitoring scheme is too dependent on manual monitoring and judgment, the monitoring is difficult, and the risk treatment is not timely

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
  • Market risk monitoring method and system based on knowledge graph
  • Market risk monitoring method and system based on knowledge graph
  • Market risk monitoring method and system based on knowledge graph

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] A market risk monitoring method based on a knowledge graph provided by an embodiment of the present invention, such as figure 1 As shown, in this embodiment, including steps:

[0058] S1. Use web crawler technology to obtain Internet transaction data;

[0059] S2. Obtain past quotations, past transaction prices, today's quotations, and today's transaction prices according to the Internet transaction data, and then calculate the price fluctuation range, including steps S21 to S24:

[0060] S21. Obtain past quotations, past transaction prices, today's quotations, and today's transaction prices from Internet transaction data, and collect the corresponding transaction geographic locations;

[0061] S22. According to previous quotations and previous transaction prices, respectively calculate the highest average first quotation and the average first transaction price in the corresponding single day, and the average second quotation and the average second transaction price co...

Embodiment 2

[0088] Reference numerals appearing in the drawings of the embodiments of the present invention include: data acquisition module 1, data analysis module 2, storage module 21, data analysis unit 22, data comparison module 23; risk early warning module 3, data early warning module 31, level 1 Early warning unit 32 , secondary early warning unit 33 , tertiary early warning unit 34 ; tracking monitoring module 4 .

[0089] The embodiment of the present invention also provides a market risk monitoring system based on knowledge graph, see figure 2 , for realizing the above-mentioned market risk monitoring method based on knowledge graph, including data acquisition module 1, data analysis module 2, risk early warning module 3 and tracking monitoring module 4 connected in sequence;

[0090] The data acquisition module 1 is used for acquiring Internet transaction data by adopting the web crawler technology;

[0091] In this embodiment, the data collection module 1 is connected to the...

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 relates to the technical field of big data analysis, and provides a market risk monitoring method and system based on a knowledge graph, Internet transaction data is acquired by adopting a web crawler technology, and the data acquisition range is expanded by utilizing the advantages of big data, so that the accuracy of risk early warning is effectively improved; the price fluctuation amplitude is calculated according to the previous quotation, the previous transaction price, the today quotation and the today transaction price, and whether the current price fluctuation is abnormal or not can be judged more accurately by combining the previous transaction price with the current transaction price and referring to the price change on a certain time line; the multi-level response is realized by adopting a sectional early warning strategy, and when the current price fluctuation is abnormal, professionals can be quickly contacted to carry out risk assessment, so that market regulation and control can be carried out in time, the monitoring efficiency is high, and the monitoring cost is effectively reduced.

Description

technical field [0001] The invention relates to the technical field of big data analysis, in particular to a market risk monitoring method and system based on a knowledge graph. Background technique [0002] Knowledge map, known as knowledge domain visualization or knowledge domain mapping map in the library and information industry, is a series of various graphs showing the development process and structural relationship of knowledge. , drawing and displaying knowledge and their interrelationships, knowledge graph is a combination of theories and methods of applied mathematics, graphics, information visualization technology, information science and other disciplines with quantitative citation analysis, co-occurrence analysis and other methods, And use the visual map to visualize the core structure, development history, frontier fields and overall knowledge structure of the modern theory and knowledge map for the purpose of multi-disciplinary integration, which can provide p...

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): G06Q30/02G06Q40/04G06F16/951G06F16/9537G06F16/22G06F16/215G06F16/2455G06F16/29G06F11/14
CPCG06Q30/0201G06Q40/04G06F16/951G06F16/9537G06F16/2282G06F16/215G06F16/2455G06F16/29G06F11/1458G06F2201/80
Inventor 马驰胡辉
Owner HUIZHOU UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com