Forecasting Stock Prices Using Stock Correlation Graph: A Graph Convolutional Network Approach
2021 International Joint Conference on Neural Networks (IJCNN)(2021)
摘要
Accurate forecasting of stock prices plays an important role in stock investment. With the advancement of AI in Fintech applications, various deep learning models have recently been developed for stock price forecasting. However, these models focus on designing sequence models to capture the temporal dependence from a stock's historical prices (and other information such as technical indicators an...
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关键词
Training,Deep learning,Correlation,Convolution,Neural networks,Predictive models,Feature extraction
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