DAM: A Universal Dual Attention Mechanism for Multimodal Timeseries Cryptocurrency Trend Forecasting

arXiv:2405.00522v1 Announce Type: cross
Abstract: In the distributed systems landscape, Blockchain has catalyzed the rise of cryptocurrencies, merging enhanced security and decentralization with significant investment opportunities. Despite their potential, current research on cryptocurrency trend forecasting often falls short by simplistically merging sentiment data without fully considering the nuanced interplay between financial market dynamics and external sentiment influences. This paper presents a novel Dual Attention Mechanism (DAM) for forecasting cryptocurrency trends using multimodal time-series data. Our approach, which integrates critical cryptocurrency …

abstract arxiv attention blockchain cryptocurrencies cryptocurrency cs.ce cs.cl cs.cr current dam data decentralization distributed distributed systems econ.gn forecasting investment landscape merging multimodal opportunities q-fin.cp q-fin.ec research security sentiment systems timeseries trend type universal