Trend prediction method and device based on artificial intelligence

A technology of trend forecasting and artificial intelligence, applied in the computer field, can solve problems such as difficult to consider comprehensively, difficult to comprehensively analyze massive stock data, and undiscovered solutions

Inactive Publication Date: 2019-11-05
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] But this requires very high personal experience, and it is often difficult to consider comprehensive
Since factor stock selection is more based on the accumulation of individual experience of stockholders, there is a lag in historical data factor stock selection, and it is difficult to achieve rationalized comprehensive analysis through massive stock data
[0005] For the above-mentioned problems existing in related technologies, no effective solution has been found yet

Method used

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  • Trend prediction method and device based on artificial intelligence
  • Trend prediction method and device based on artificial intelligence
  • Trend prediction method and device based on artificial intelligence

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Experimental program
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Embodiment 1

[0032] 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 trend forecasting mobile terminal based on artificial intelligence in an 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 ...

Embodiment 2

[0063] In this embodiment, an artificial intelligence-based trend forecasting device is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and those that have 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.

[0064] Figure 4 is a structural block diagram of an artificial intelligence-based trend forecasting device according to an embodiment of the present invention, such as Figure 4 As shown, the device includes:

[0065] Determining module 40, for determining the candidate object to be predicted;

[0066] Extraction module 42, for extracting the historical income information and historical pub...

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Abstract

The embodiment of the invention provides a trend prediction method and a device based on artificial intelligence. On one hand, the method comprises the following steps: determining a candidate objectto be predicted; extracting historical revenue information and historical public opinion information of the candidate object; inputting the historical revenue information and the historical public opinion information into a stock prediction model, the stock prediction model being obtained by training using an Encode-Decode self-encoding algorithm; and predicting future income information of the candidate object by using the stock prediction model. According to the method and the device, the technical problem of low accuracy of stock prediction through a linear model in the prior art is solved.

Description

【Technical field】 [0001] The invention relates to the field of computers, in particular to an artificial intelligence-based trend prediction method and device. 【Background technique】 [0002] Traditional factor stock selection based on historical stock data has a lag and is strongly dependent on the personal experience of shareholders. [0003] The factor stock selection in the existing technology is a linear model, and it is easy to cause overfitting to historical data when it is constructed, so the performance in the real market is relatively attenuated. In addition, I personally consider that the stock factor can only be the relevant index of a specific stock, it is not like Automatically extract features from the changing values ​​of stocks like in-depth factor stock selection. In other words, there are certain bottlenecks in traditional factor stock selection. Traditional factor models are classified into four aspects: market factors, style factors, financial factors,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q40/04G06N3/08
CPCG06N3/08G06Q10/04G06Q40/04
Inventor 石明川姚飞
Owner PING AN TECH (SHENZHEN) CO LTD
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