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Ensemble and Multimodal Approach for Forecasting Cryptocurrency Price. (arXiv:2202.08967v1 [q-fin.ST])
Feb. 21, 2022, 2:11 a.m. | Zeyd Boukhers, Azeddine Bouabdallah, Matthias Lohr, Jan Jürjens
cs.LG updates on arXiv.org arxiv.org
Since the birth of Bitcoin in 2009, cryptocurrencies have emerged to become a
global phenomenon and an important decentralized financial asset. Due to this
decentralization, the value of these digital currencies against fiat currencies
is highly volatile over time. Therefore, forecasting the crypto-fiat currency
exchange rate is an extremely challenging task. For reliable forecasting, this
paper proposes a multimodal AdaBoost-LSTM ensemble approach that employs all
modalities which derive price fluctuation such as social media sentiments,
search volumes, blockchain information, and …
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