Prediction of Shanghai Stock Market Based on CNN-LSTM Model with GA Optimized Attention

Hu, Hanyu

Prediction of Shanghai Stock Market Based on CNN-LSTM Model with GA Optimized Attention

Hu, Hanyu (2023) Prediction of Shanghai Stock Market Based on CNN-LSTM Model with GA Optimized Attention. In: Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China.

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Abstract

Investment in stocks is a means of maximizing the benefits of assets through the purchase and sale of stocks. For equity investment, accurate forecasting of stock prices, and ups and downs are essential for asset return management. Currently, there are not only classical Markov chain models, but als

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Date Deposited:	04 Mar 2026 16:33
Last Modified:	17 Apr 2026 02:32
URI:	http://eprints.eai.eu/id/eprint/44323

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