A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin. (arXiv:2206.00648v1 [q-fin.ST])

Bitcoin, with its ever-growing popularity, has demonstrated extreme price
volatility since its origin. This volatility, together with its decentralised
nature, make Bitcoin highly subjective to speculative trading as compared to
more traditional assets. In this paper, we propose a multimodal model for
predicting extreme price fluctuations. This model takes as input a variety of
correlated assets, technical indicators, as well as Twitter content. In an
in-depth study, we explore whether social media discussions from the general
public on Bitcoin have …

arxiv bitcoin multimodal prediction price twitter