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Stock Market Prediction via Deep Learning Techniques: A Survey

Jinan ZouQingying ZhaoYang Jiao ...+5 Javen Qinfeng Shi
Dec 2022
摘要
The stock market prediction has been a traditional yet complex problemresearched within diverse research areas and application domains due to itsnon-linear, highly volatile and complex nature. Existing surveys on stockmarket prediction often focus on traditional machine learning methods insteadof deep learning methods. Deep learning has dominated many domains, gained muchsuccess and popularity in recent years in stock market prediction. Thismotivates us to provide a structured and comprehensive overview of the researchon stock market prediction focusing on deep learning techniques. We presentfour elaborated subtasks of stock market prediction and propose a noveltaxonomy to summarize the state-of-the-art models based on deep neural networksfrom 2011 to 2022. In addition, we also provide detailed statistics on thedatasets and evaluation metrics commonly used in the stock market. Finally, wehighlight some open issues and point out several future directions by sharingsome new perspectives on stock market prediction.
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