Multi-layer Feature Fusion method based on Convolutional Neural Network for Stock Trend Forecasting

Liu, Mengyang and Xu, Mingyan and Jiang, Wen and Zhao, Feng and Jiang, Yan and Zhang, Yong (2024) Multi-layer Feature Fusion method based on Convolutional Neural Network for Stock Trend Forecasting. In: Proceedings of the 3rd International Conference on Big Data Economy and Digital Management, BDEDM 2024, January 12–14, 2024, Ningbo, China.

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Abstract

Stock trend prediction remains a crucial area of research in the financial domain, where the stock market is characterized by a plethora of indicators that describe various stock features. A key challenge lies in effectively capturing the interrelationships among these features and extracting them c

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 17:41
Last Modified: 16 Apr 2026 23:19
URI: http://eprints.eai.eu/id/eprint/49448

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