Wavelet-CNN for temporal data: Enhancing long-term stock price prediction via multi-resolution wavelet decomposition and CNN-based feature extraction

The global economy relies heavily on stock markets, making accurate stock price predictions essential for academic research and practical applications. The task of predicting stock prices presents significant challenges due to the non-linear relationships between historical and future values and the...

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Bibliographic Details
Main Authors: Komei Hiruta, Junsuke Senoguchi
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:International Journal of Information Management Data Insights
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2667096825000424
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