Zhai, Wandong (2023) Stock Price Prediction Based on Optimized LSTM Model. In: Proceedings of the 2nd International Conference on Financial Innovation, FinTech and Information Technology, FFIT 2023, July 7–9, 2023, Chongqing, China.
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Abstract
The variation trend of stock prices is often disturbed by various factors such as investor sentiment, market sentiment, and corporate performance. The combined effect of these factors leads to stochastic fluctuations in stock price change, which results in its high-noise and unstable characteristics
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 16:44 |
| Last Modified: | 17 Apr 2026 01:56 |
| URI: | http://eprints.eai.eu/id/eprint/45136 |
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