Stock value point generation method, apparatus, computer device, and storage medium

Abstract

The present application relates to a stock value point generation method, apparatus, computer device and storage medium. The method comprises the following steps: receiving the inquiry request sent bythe terminal; generating the inquiry request according to the stock selected by the user; Obtaining the historical value point of the stock according to the inquiry request, and generating the prediction model of the value point of the stock according to the historical value point of the stock; Acquiring a first correction factor corresponding to the stock type and a second correction factor corresponding to the stock plate; Training the value point prediction model repeatedly according to the first correction factor and the second correction factor until the prediction error between the value point output by the value point prediction model and the corresponding actual value point satisfies the first set condition; When the prediction error satisfies the first set condition, generating the lowest value point and the highest value point of the stock in the preset time period by the current value point prediction model. The method relates to the technical field of artificial intelligence and can improve the resource utilization rate of a server.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method, device, computer equipment and storage medium for generating stock value points. Background technique [0002] As a type of investment and financial management, stocks are increasingly appearing in front of people. The stock information in the stock market fluctuates greatly, so it is more and more important to accurately analyze the stock information. [0003] However, in the process of traditional stock business handling, in order to facilitate users to view stock information, the server generally analyzes and calculates and obtains stock information of the stock selected by the user under different indicators, including the historical value of the stock, and sends it to the corresponding User. However, many indicators are similar, and most of them have no actual reference value; moreover, the existing server resources are limited. For each stock, the se...

AI Technical Summary

Problems solved by technology

However, many indicators are similar, and most of them have no actual reference value; moreover, the existing server resources are limited. For each stock, the server needs to provide users with stock information based on different indicators, which will lead to waste of server resources. Thereby reducing the resource utilization of the server

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