Li, Yuhang (2024) Stock price prediction based on particle swarm algorithm optimised SVM univariate time series algorithm. In: Proceedings of the 5th International Conference on E-Commerce and Internet Technology, ECIT 2024, March 15–17, 2024, Changsha, China.
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Abstract
In this paper, using the Coca-Cola stock price data from the UCL public dataset, the support vector machine univariate time series algorithm optimised by particle swarm algorithm is used to conduct a prediction study on the stock opening price. By observing the X-Y scatter plot of the stock price an
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:36 |
| Last Modified: | 16 Apr 2026 23:35 |
| URI: | http://eprints.eai.eu/id/eprint/49097 |
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