Method and device for predicting stock trend, electronic device, and storage medium

A stock and trend technology, applied in the field of data analysis, can solve the problem of low accuracy of stock forecasting methods, and achieve the effect of improving accuracy and accurate forecasting results.

Inactive Publication Date: 2018-11-23
SHENZHEN UNIV
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0004] The main purpose of the present invention is to provide a method, device, electronic equipment and storage medium ...

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  • Method and device for predicting stock trend, electronic device, and storage medium
  • Method and device for predicting stock trend, electronic device, and storage medium
  • Method and device for predicting stock trend, electronic device, and storage medium

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Embodiment Construction

[0026] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0027] see figure 1 , figure 1 It is a schematic flow chart of the steps of the method for predicting the stock trend in the embodiment of the present invention. In the embodiment of the present invention, the above-mentioned method for predicting the stock trend includes:

[0028] Step 101. Collect the annual report data and operation data...

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Abstract

The invention discloses a method and device for predicting a stock trend. The method comprises: collecting annual report data and operation data of a designated enterprise in each preset year and preprocessing the collected annual report data to obtain corpuses corresponding to all annual report data; carrying out an emotional analysis on each corpus, determining an emotional intonation value of each corpus, and detecting readability of each corpus by using a preset readability detection algorithm; according to stock price change trends and operation data of the designated enterprise in all preset years as well as the emotional intonation values and readability of all corpuses, training an established stock prediction model; and collecting latest annual report data and latest operational data released by a to-be-predicted enterprise and inputting the collected data into the trained stock prediction model to obtain a stock changing trend of the to-be-predicted enterprise within a presetperiod of time in future. Therefore, the stock prediction result becomes accurate and the stock prediction accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a method, device, electronic equipment and storage medium for predicting stock trends. Background technique [0002] Stock forecasting has always been a popular research direction. The existing stock forecasting methods are mainly divided into two types: technical analysis and fundamental analysis: technical analysis is a method to analyze the future trend of securities prices only from the market behavior of securities. To the past and present behavior of the market, apply mathematics and logical reasoning methods to explore some typical laws and predict the future trend of the securities market; The basic principles of science and investment, the basic elements that determine the value and price of securities investment, such as macroeconomic indicators, economic policy trends, industry development status, product market conditions, company sales and financial status, to ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q40/04
CPCG06Q10/04G06Q40/04
Inventor 罗旺李俊杰
Owner SHENZHEN UNIV
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