MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price
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Cited by:
- M. Eren Akbiyik & Mert Erkul & Killian Kaempf & Vaiva Vasiliauskaite & Nino Antulov-Fantulin, 2021. "Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data," Papers 2110.14317, arXiv.org, revised Dec 2022.
- Xiao Li & Linda Du, 2023. "Bitcoin daily price prediction through understanding blockchain transaction pattern with machine learning methods," Journal of Combinatorial Optimization, Springer, vol. 45(1), pages 1-24, January.
- Cheng Zhang & Nilam Nur Amir Sjarif & Roslina Ibrahim, 2023. "Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022," Papers 2305.04811, arXiv.org, revised Sep 2023.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2021-05-10 (Big Data)
- NEP-CMP-2021-05-10 (Computational Economics)
- NEP-FMK-2021-05-10 (Financial Markets)
- NEP-FOR-2021-05-10 (Forecasting)
- NEP-PAY-2021-05-10 (Payment Systems and Financial Technology)
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