Conceptual-temporal graph convolutional neural network model for stock price movement prediction and application

Stock price movement prediction is an important problem for trading decision-making. But it is a challenging task due to the nonlinearity and complexity of the stock trading data. This paper analyzes the linkage effect of price movement among stocks with the same concept segment through the dissipat...

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Vydáno v:	Soft computing (Berlin, Germany) Ročník 27; číslo 10; s. 6329 - 6344
Hlavní autor:	Fuping, Zhang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2023
Témata:	Artificial Intelligence Computational Intelligence Control Data Analytics and Machine Learning Engineering Mathematical Logic and Foundations Mechatronics Robotics Temporal characteristics Stocks price movement prediction Conceptual properties Conceptual-temporal graph convolutional neural network Application
ISSN:	1432-7643, 1433-7479
On-line přístup:	Získat plný text
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