Dan, Ningyun and Li, Yuxin and Nie, Zimo and Li, Yuan (2022) Stock Volatility Prediction Based on 1D-CNN and LightGBM. In: Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China.
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Abstract
Stock price fluctuations often bring opportunities to investors. Predicting the trend of stock price fluctuation effectively can bring effective and feasible suggestions to investors. This paper uses the real data of the stock market as the data set, and adopts the fusion model based on 1D-CNN mode
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 15:41 |
| Last Modified: | 17 Apr 2026 05:06 |
| URI: | http://eprints.eai.eu/id/eprint/40433 |
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