Quantitative transaction method, client, equipment and storage medium

A transaction method and client-side technology, applied in the field of data processing, can solve problems such as network congestion and excessive memory consumption

Pending Publication Date: 2020-03-03
JINGDONG TECH HLDG CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in some scenarios, B / S architecture products have some performance problems, especially when the backtest function, real offer simulation, and real offer transaction functions generate huge result data and graphics rendering tasks, the traditional Web server It will face some data processing problems, such as causing huge network congestion, excessive memory consumption, etc.

Method used

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  • Quantitative transaction method, client, equipment and storage medium
  • Quantitative transaction method, client, equipment and storage medium
  • Quantitative transaction method, client, equipment and storage medium

Examples

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Embodiment Construction

[0052] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0053] Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus repeated descriptions thereof will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities ...

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PUM

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Abstract

The invention provides a quantitative transaction method, a client, equipment and a storage medium. The method comprises the steps that the client receives a quantitative strategy operation result from a quantitative transaction server, and stores the quantitative strategy operation result in a local storage; and when the client receives the query condition, the client preferentially queries the corresponding quantitative strategy operation result from the local memory, If the corresponding quantitative strategy operation result cannot be queried, the client queries the corresponding quantitative strategy operation result in the quantitative transaction server, and after the query result is obtained, the client displays the result to the user. The invention provides a C / S client applied toa quantitative transaction scene. The advantages of local file storage, partial utilization of a local CPU and the like can be utilized to greatly solve the problems in the prior art, that is, the local client is effectively utilized to carry out space reasonable utilization on the local disk to improve the performance of data processing in a quantitative transaction scene, and the problems of huge network congestion, excessive memory consumption and the like are avoided.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a quantitative transaction method, client, device and storage medium. Background technique [0002] Quantitative trading refers to the use of advanced mathematical models to replace human subjective judgments, and the use of computer technology to select a variety of "high probability" events that can bring excess returns from huge historical data to formulate strategies, which greatly reduces investor sentiment. Avoid irrational investment decisions when the market is extremely frenzied or pessimistic. [0003] Quantitative trading is one of the new and cutting-edge industries in the securities industry. Its client products are characterized by functions such as strategy backtesting, firm offer simulation, and firm offer trading, which require a huge amount of stock data. Under this premise, it is impossible to do Integrate all data to the client, and carry out ...

Claims

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Application Information

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IPC IPC(8): G06F16/953G06F16/957G06Q40/04
CPCG06Q40/04
Inventor 陈志国
Owner JINGDONG TECH HLDG CO LTD
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