Zhai, Wandong (2024) Automated Digital Currency Trading Algorithm Based on LSTM Neural Networks. In: Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China.
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Abstract
Aiming at the problem that the price trend of financial products is affected by many factors with high noise, and it is difficult to accurately grasp the best time to buy and sell digital currencies under the interference of commissions, this paper proposes a set of automatic trading algorithms base
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:05 |
| Last Modified: | 17 Apr 2026 01:01 |
| URI: | http://eprints.eai.eu/id/eprint/46749 |
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