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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Bibliographic Details

Published in:	Soft computing (Berlin, Germany) Vol. 27; no. 10; pp. 6329 - 6344
Main Author:	Fuping, Zhang
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2023
Subjects:	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
Online Access:	Get full text
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