Sun, Yu and Tian, Liwei (2023) Research on stock prediction based on LSTM and CatBoost algorithm. 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
Stock prediction is a classical problem at the intersection of computer science and finance. How to find an accurate, stable and effective model to predict the rise and fall of stocks has become a hot research topic among financial scholars. In the face of the increasingly prominent demand for stock
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 16:34 |
| Last Modified: | 17 Apr 2026 02:30 |
| URI: | http://eprints.eai.eu/id/eprint/44360 |
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