Stock Price Prediction Based on LSTM Model

Zihan Gao ()
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Zihan Gao: Lanzhou University, School of Economics

A chapter in Proceedings of the 2024 2nd International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2024), 2025, pp 762-774 from Springer

Abstract: Abstract Deep learning techniques have increasingly been applied to stock price prediction. The LSTM model performs better in predicting time series data. In our paper, the LSTM model is used to predict the closing price trend of CSI 300 index, and we finally find that the constructed model has better prediction ability, which indicates that the deep learning model has better generalization ability and higher prediction accuracy, and provides theoretical and practical experience for broadening the application field of the deep learning technology, and further applying it in the field of quantitative investment.

Keywords: LSTM model; Deep learning; Stock price prediction (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-706-9_68

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DOI: 10.2991/978-94-6463-706-9_68

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