Stock quantitative trading method and device, equipment and storage medium

Abstract

The embodiment of the invention provides a stock quantitative trading method and device, equipment and a storage medium. The method comprises the following steps that: monitoring a dragging operationof a user for a graphical control; according to a spliced graph combined in a way that the user drags each graphical control, determining operation logic corresponding to the spliced graph; receivinga numerical value set via a user by aiming at the graphical control to be set with a numerical value of the operation logic in the spliced graph, and determining respective operation numerical value of each graphical control to be set with the numerical value; and receiving an operation instruction sent from a user for executing the logic operation, and executing an operation matched with the operation instruction according to the determined operation numerical value and operation logic in each graphical control to be set with the numerical value. Through the method, the user can carry out quantitative trading through a simple operation way. Furthermore, a scientific data judgment basis is provided for the vast number of investors to carry out scientific and accurate investment.

Description

technical field [0001] The present invention relates to the technical field of Internet data processing, in particular to a method, device, equipment and storage medium for quantitative stock trading. Background technique [0002] With the continuous development of computer technology, the use of computer platforms to achieve quantitative trading has become one of the mainstream stock trading methods. 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 the influence of fluctuations and avoid making irrational investment decisions when the market is extremely fanatical or pessimistic. Quantitative trading has two main points "strategy" and "backtesting". Among them, "strategy" refers to buying and selling spe...

AI Technical Summary

Problems solved by technology

[0003] In the process of realizing the present invention, the inventor found that there are at least the following problems in the prior art: on the one hand, the stock selection strategies of most software in the market are formulas obtained through extensive experience accumulation, without strong data support, These are simple and rough strategies without optimization. If stockholders easily believe the entry and exit information sent by the software without thinking, the investment results will often be far from the expected value; In the hands of professionals such as software engineers of institutions, quantitative trading technology is limited by the professional level of users. Ordinary shareholders cannot conduct quantitative trading because they do not have programming skills and cannot develop software codes.

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