Joint Mid-Term Forecast of Cryptocurrencies in Technics of Inductive Modelling (on Example of XRP, Waves, ETH)

Low accuracy of mid-term forecasts of cryptocurrencies is an open problem that impedes their promotion on the world financial market. One of the reasons is the lack of reliable predictive models including all or the majority of significant objective and subjective factors. In this paper, we propose...

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Bibliographic Details
Main Authors: Bulat Bayburin, Pavel Mogilev, Mikhail Alexandrov, John Cardiff, Olexiy Koshulko
Format: Article
Language:English
Published: FRUCT 2022-04-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Online Access:https://www.fruct.org/publications/acm31/files/Bay.pdf