Stock Price Prediction Based on Decision Trees, CNN and LSTM

Li, Ruotong; Ma, Moying; Tang, Nan

Stock Price Prediction Based on Decision Trees, CNN and LSTM

Li, Ruotong and Ma, Moying and Tang, Nan (2023) Stock Price Prediction Based on Decision Trees, CNN and LSTM. In: Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China.

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Abstract

Stock price forecasting plays an important role in quantitative transaction and financial analysis. In this paper, three well-known machine learning approaches, decision tree, LSTM, and CNN, are implemented in order to realize stock price prediction. After introducing each model's background, princi

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Date Deposited:	04 Mar 2026 16:01
Last Modified:	17 Apr 2026 03:50
URI:	http://eprints.eai.eu/id/eprint/41915

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