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Stock prediction method and device, computer equipment and storage medium

A computer program and stock technology, applied in the computer field, can solve problems that are difficult to consider comprehensively, have low accuracy, and require very high personal experience, and achieve the effect of strong operability and accurate prediction.

Pending Publication Date: 2019-09-13
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The traditional factor stock selection is a linear model, which is easy to cause overfitting to historical data during construction, resulting in relative attenuation of intraday performance. In addition, when considering stock factors, only the relevant indexes of specific stocks will be considered, and the linear relationship of each index will be comprehensively synthesized. Judgment, but cannot and will not think of extracting features from the changing values ​​of stocks
In other words, there are certain bottlenecks in the traditional factor stock selection, which requires very high personal experience, and it is often difficult to consider comprehensively, resulting in low accuracy
[0006] For the above-mentioned problems existing in related technologies, no effective solution has been found yet

Method used

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  • Stock prediction method and device, computer equipment and storage medium
  • Stock prediction method and device, computer equipment and storage medium
  • Stock prediction method and device, computer equipment and storage medium

Examples

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Embodiment 1

[0041] The method embodiment provided in Embodiment 1 of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking running on a mobile terminal as an example, figure 1 It is a block diagram of the hardware structure of a mobile terminal for stock prediction according to the embodiment of the present invention. Such as figure 1 As shown, the mobile terminal 10 may include one or more ( figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data. Optionally, the above-mentioned mobile terminal also A transmission device 106 for communication functions as well as input and output devices 108 may be included. Those of ordinary skill in the art can understand that, figure 1 The shown structure is only for illustration, and does not limit the structure...

Embodiment 2

[0073] In this embodiment, a device for predicting stocks is also provided, which is used to implement the above embodiments and preferred implementation modes, and what has already been described will not be repeated. As used below, the term "module" may be a combination of software and / or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.

[0074] Figure 5 is a structural block diagram of a device for predicting stocks according to an embodiment of the present invention, such as Figure 5 As shown, the device includes:

[0075] A receiving module 50, configured to receive a forecast request for a target stock, where the forecast request carries the number of days to be forecast;

[0076] An acquisition module 52, configured to acquire the latest historical individual st...

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Abstract

The embodiment of the invention provides a stock prediction method and device, computer equipment and a storage medium. On one hand, the method comprises: receiving a prediction request for a target individual share, wherein the prediction request carries prediction days; obtaining recent historical individual stock information and recent historical large stock information of the target individualstock within the prediction days; inputting the recent historical individual stock information and the recent historical big stock information into a differential long and short memory time sequencemodel DLSTM, the DLSTM being obtained by training by using the historical individual stock information and the big stock information of the target individual stock as sample data; using the DLSTM to search a specified time period matched with the latest historical individual stock information and the latest historical stock market information in the historical revenue trend, and determining the historical revenue trend of the target individual stock in the specified time period as the revenue trend of the target individual stock in the prediction days. According to the method and the device, the technical problems of over-high requirements on personnel and low accuracy in stock prediction by adopting factor stock selection in the prior art are solved.

Description

[0001] 【Technical field】 [0002] The invention relates to the field of computers, in particular to a method and device for predicting stocks, computer equipment, and storage media. [0003] 【Background technique】 [0004] Stock forecasting has a broad prospect. Traditional factor stock selection based on historical stock data has a lag and is strongly dependent on the personal experience of stockholders. [0005] The traditional factor stock selection is a linear model, which is easy to cause overfitting to historical data during construction, resulting in relative attenuation of intraday performance. In addition, when considering stock factors, only the relevant indexes of specific stocks will be considered, and the linear relationship of each index will be comprehensively synthesized. Judgment, but it cannot and would not think of extracting features from the changing values ​​of stocks. In other words, there are certain bottlenecks in traditional factor stock selection, wh...

Claims

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Application Information

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IPC IPC(8): G06Q40/04
CPCG06Q40/04
Inventor 张师琲姚飞
Owner PING AN TECH (SHENZHEN) CO LTD
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