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Financial market prediction and decision-making system and method based on artificial intelligence

A financial market and artificial intelligence technology, applied in the field of artificial intelligence, can solve the problem of low accuracy of financial market forecasts and decision-making results, and achieve the effect of improving accuracy and improving investment returns.

Pending Publication Date: 2020-06-16
武汉盛信鸿通科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a system and method for financial market forecasting and decision-making based on artificial intelligence to solve the problem of low accuracy of existing financial market forecasting and decision-making results

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  • Financial market prediction and decision-making system and method based on artificial intelligence
  • Financial market prediction and decision-making system and method based on artificial intelligence

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Embodiment Construction

[0025] 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 following The described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative work belong to the protection scope of the present invention. The principles and features of the present invention will be described below in conjunction with the accompanying drawings. The examples given are only used to explain the present invention, not to limit the scope of the present invention.

[0026] The term "comprising" and other expressions with similar meanings in the description or claims of the p...

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Abstract

The invention provides a financial market prediction and decision-making method and system based on artificial intelligence. The system includes: a data acquisition module, a market emotion feature construction module, a special data feature construction module, a volume-price data feature construction module, an LSTM prediction model, a risk hedging calculation module and an investment decision module. The method comprises the following steps: obtaining mass data, performing feature selection on volume-price data, market emotion data and other types of data, inputting the data into an LSTM prediction model, calculating an optimal risk hedging proportion, and providing decision and market analysis for investors. By means of the scheme, the problem that an existing financial market estimation method is not high in prediction and decision result accuracy is solved, the accuracy and reliability of the prediction and decision result can be effectively improved, a reasonable investment strategy is designed, and investment income is increased.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a system and method for financial market prediction and decision-making based on artificial intelligence. Background technique [0002] With the development of the economy, the financial market plays an increasingly important role in society. With the modernization of financial transactions and information systems, a large amount of information emerges. Information is an intangible asset in the financial market. However, how to analyze massive financial-related data and make reasonable use of data for market forecasting is a problem that needs to be discussed. [0003] The price of stock futures in the financial market is affected by many parties, not only by the company's operation and historical data, but also by overall policies, industries, upstream and downstream factors. At present, although the prediction model based on the convolutional neural network can p...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q40/04G06N3/08G06N3/04
CPCG06Q10/04G06Q40/04G06N3/08G06N3/044G06N3/045
Inventor 丁泽彦彭麟雅杨可与童家卫徐晶詹玮琪
Owner 武汉盛信鸿通科技有限公司
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