Kang, Sihua (2024) LSTM Model to Forecasting Bitcoin: Internal and External Determinants. In: Proceedings of the 3rd International Conference on Big Data Economy and Digital Management, BDEDM 2024, January 12–14, 2024, Ningbo, China.
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Abstract
The stock market is difficult for prediction, because of its complexity and randomness. Bitcoin, as the new favorite of stock market, grabs much attention. This article aims to apply the LSTM model for Bitcoin prediction, using multiple financial indices as features of LSTM to find out the relations
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:41 |
| Last Modified: | 16 Apr 2026 23:18 |
| URI: | http://eprints.eai.eu/id/eprint/49460 |
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