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Artificial intelligence stock system application method

A system application and artificial intelligence technology, applied in the field of artificial intelligence stock system application, can solve problems such as difficult stock understanding, high time cost of information and economic cost, etc., to improve convenience, reduce the possibility of loss, and increase the possibility Effect

Pending Publication Date: 2022-07-29
中科柏诚科技(北京)股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] my country's small and medium-sized investors are an important part of China's stock market, but many market information in my country's stock market are not disclosed in a timely manner, and the acquisition of information needs to pay high time and economic costs, so more and more stocks are automatically listed. The screening and buying system came into being. In the current automatic stock screening and buying system, the stock profit is usually only used as the primary push condition. Inferior as a judgment, it is difficult to have a more detailed understanding of stocks, so it needs to be improved

Method used

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  • Artificial intelligence stock system application method
  • Artificial intelligence stock system application method
  • Artificial intelligence stock system application method

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Embodiment Construction

[0072] Attached to the following Figure 1-5 , the application will be described in further detail.

[0073] An artificial intelligence stock system, refer to figure 1 , including information input module 1, information processing module 2, display module 3 and human-computer interaction module 4, information input module 1, information processing module 2, display module 3 and human-computer interaction module 4 are software programs in the computer;

[0074] The information input module 1 is used to obtain input information, and the information input module 1 obtains the input information input by the user through a keyboard or a display screen;

[0075] The information processing module 2 is used to process the input information input by the user. The information processing module 2 processes the input information obtained by the keyboard or the display screen through the CPU, and outputs the processing signal.

[0076] The display module 3 is used to display the input in...

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Abstract

The invention relates to an artificial intelligence stock system application method, and relates to the technical field of stock transaction, and the method comprises the steps: training a rise and fall prediction model, predicting a stock prediction data set in a next period, screening growth situation stock data, classifying the stock data, analyzing a user preference field, and correspondingly pushing information. According to the artificial intelligence stock system, the stock in the corresponding field can be pushed to the user, so that the buyed stock can correspond to the field understood by the user, the user can better understand the stock data to judge holding or selling, and the possibility that the user benefits is increased.

Description

technical field [0001] The present application relates to the field of stock trading, in particular to an application method of an artificial intelligence stock system. Background technique [0002] China's stock market has made great achievements after years of development. As an important part of China's securities market, the stock market plays an important role in China's economic development and social stability. [0003] my country's small and medium investors are an important part of China's stock market, but many market information in my country's stock market is not disclosed in a timely manner, and the acquisition of information requires high time and economic costs. The screening and buying system came into being. In the current stock automatic screening and buying system, usually only the profit of the stock is used as the primary push condition. When using this kind of automatic screening and buying system, users can only use the expected growth rate to optimize ...

Claims

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Application Information

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IPC IPC(8): G06Q40/04G06Q10/04G06F16/9535
CPCG06Q40/04G06Q10/04G06F16/9535
Inventor 夏卫振
Owner 中科柏诚科技(北京)股份有限公司
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