Open Access
| Issue |
ITM Web Conf.
Volume 80, 2025
2025 2nd International Conference on Advanced Computer Applications and Artificial Intelligence (ACAAI 2025)
|
|
|---|---|---|
| Article Number | 01028 | |
| Number of page(s) | 8 | |
| Section | Machine Learning & Deep Learning Algorithms | |
| DOI | https://doi.org/10.1051/itmconf/20258001028 | |
| Published online | 16 December 2025 | |
- O. Bustos, A. Pomares-Quimbaya, R. Stellian, Machine learning, stock market forecasting, and market efficiency: a comparative study, Comput. Econ. 20, 99 (2025) https:// doi.org/10.1007/s41060-025-00854-4 [Google Scholar]
- H.H. Htun, M. Biehl, N. Petkov, Survey of feature selection and extraction techniques for stock market prediction, J. Financ. Data Sci. 9, 3 (2023) [Google Scholar]
- W. Bao, Data-driven stock forecasting models based on neural networks, Inf. Fusion. 113, 10 (2025) https://doi.org/10.1016/j.inffus.2024.102616 [Google Scholar]
- J. Singh, M. Khushi, Feature learning for stock price prediction shows a significant role of analyst rating, Appl. Syst. Innov. 4, 17 (2021) https://doi.org/10.3390/asi4010017 [Google Scholar]
- X. Shen, The comparison of feature selection methods and feature combinations based on the stock prediction, J. Comput. Financ. 99, 84 (2024) https://doi.org/10.2139/ssrn.3834691 [Google Scholar]
- A.S. Paramita, S.V. Winata, A comparative study of feature selection techniques in machine learning for predicting stock market trends, J. Appl. Data Sci. 4, 99 (2023) https://doi.org/10.2139/ssrn.3834691 [Google Scholar]
- M. Darwish, E.E. Hassanien, A.H.B. Eissa, Stock market forecasting: from traditional predictive models to large language models, Comput. Econ. 65, 2 (2025) https://doi.org/10.1007/s10614-025-11024-w [Google Scholar]
- G. Guo, H. Wang, Survey on stock prediction based on deep learning, in Proceedings of the International Conference on Bigdata, Blockchain and Economy Management, Wuhan, China, March 29–31 (2024), 95-99 [Google Scholar]
- E. Radfar, Stock market trend prediction using deep neural network via chart analysis: a practical method or a myth? Palgrave Commun. 12, 3 (2025) https://doi.org/10.1057/s41599-025-04761-8 [Google Scholar]
- M. Darwish, E. E. Hassanien, A. H. B. Eissa, A comparative analysis of deep learning models in stock market forecasting, in Proceedings of the International Conference on Intelligent Information Technology Ho Chi Minh City, Vietnam, February 23–25 (2024), 95 [Google Scholar]
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