Data processing method, system and device and readable storage medium

A data processing and data technology, applied in the field of big data, can solve the problems of complex data calculation, large calculation burden and other problems, and achieve the effect of simplifying calculation, reducing calculation burden and improving processing efficiency

Pending Publication Date: 2021-06-11
PING AN ASSET MANAGEMENT CO LTD
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiments of the present invention provide a data processing method, system, computer equipment, and computer-readable storage medium, which are used to solve the problem that the existing income system needs to perform a large number of complex data calculations when processing portfolio investment data, which is easy to cause The large amount of calculation causes the computational burden of the CPU

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
  • Data processing method, system and device and readable storage medium
  • Data processing method, system and device and readable storage medium
  • Data processing method, system and device and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] see figure 1 , shows a flow chart of the steps of the data processing method of the embodiment of the present invention. It can be understood that the flowchart in this method embodiment is not used to limit the sequence of execution steps. The following is an exemplary description taking computer equipment as the execution subject, as follows:

[0061] Such as figure 1 As shown, the data processing method may include steps S100-S600, wherein:

[0062] Step S100, extract multiple analysis factors of the investment portfolio data, and classify and package the multiple analysis factors in a preset database, the multiple analysis factors include portfolio position data, portfolio transaction data, and portfolio data amount than data.

[0063] In an exemplary embodiment, the investment portfolio data may be investment portfolio data constructed by investment personnel. For example, the fund's investment portfolio data is usually allocated from assets such as currencies...

Embodiment 2

[0105] read on Figure 8 , shows a schematic diagram of program modules of the data processing system of the present invention. In this embodiment, the data processing system 20 may include or be divided into one or more program modules, and one or more program modules are stored in a storage medium and executed by one or more processors to complete the present invention. Invention, and can realize the above data processing method. The program module referred to in the embodiment of the present invention refers to a series of computer program instruction segments capable of completing specific functions, which is more suitable for describing the execution process of the data processing system 20 in the storage medium than the program itself. The following description will specifically introduce the functions of each program module of the present embodiment:

[0106] The first acquisition module 900 is used to extract multiple analysis factors of investment portfolio data, an...

Embodiment 3

[0113] refer to Figure 9 , is a schematic diagram of the hardware architecture of the computer device according to Embodiment 3 of the present invention. In this embodiment, the computer device 2 is a device capable of automatically performing numerical calculation and / or information processing according to preset or stored instructions. The computer device 2 may be a rack server, a blade server, a tower server or a cabinet server (including an independent server, or a server cluster composed of multiple servers) and the like. Such as Figure 9 As shown, the computer device 2 at least includes, but is not limited to, a memory 21 , a processor 22 , a network interface 23 , and a data processing system 20 that can communicate with each other through a system bus. in:

[0114]In this embodiment, the memory 21 includes at least one type of computer-readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for ...

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 embodiment of the invention provides a data processing method, which comprises: through a plurality of preset penetration decomposition formulas, a transaction penetration rule and a plurality of analysis factors, performing penetration analysis on the plurality of analysis factors to obtain a plurality of intermediate data, constructing a fund virtual transaction as a first adjustment item, and constructing a cash virtual transaction as a second adjustment item; and according to the plurality of intermediate data, the first adjustment item and the second adjustment item, generating penetration data of the portfolio data, and performing visualization processing, the penetration data being used for representing income affiliation portfolio data of the portfolio data. According to the method, investment portfolio data is analyzed from multiple aspects of analysis factors such as share ratio data, multiple penetration decomposition modes, virtual transactions and cash flow data, so that the accuracy of data processing is ensured, the calculation amount of data is simplified, the processing efficiency of data is improved, and the operation burden of a CPU is reduced.

Description

technical field [0001] The embodiments of the present invention relate to the field of big data technology, and in particular, to a data processing method, system, computer equipment, and computer-readable storage medium. Background technique [0002] Attribution of income is an important part of portfolio investment. Among the existing income systems, some income systems acquire and push income data based on the current position data. Such income systems tend to ignore the impact of trading behavior on the income data of portfolio investments. Some income systems ignore the impact of penetration, and the penetration data cannot be obtained through the income system well, so the penetration income cannot be analyzed. Although some systems try to penetrate positions and transactions, the scope of data processing is often very limited, and only 100% of the funds held can be analyzed through penetration, which will bring great limitations to the system's profitability analysis...

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): G06Q40/06G06Q40/04
CPCG06Q40/06G06Q40/04
Inventor 陈哲刘可家晏沛泉方茜洪洋
Owner PING AN ASSET MANAGEMENT CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap