Preprint
Article
Bitcoin Analysis and Forecasting Through Fuzzy Transform
This version is not peer-reviewed.
Submitted:
30 October 2020
Posted:
02 November 2020
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Abstract
Sentiment analysis to characterize properties of Bitcoin prices and their forecasting is here developed thanks to the capability of the Fuzzy transform to capture stylized facts and mutual connections between time series having different nature. Six years of daily Bitcoin Prices and Google Trends are analyzed in order to establish new perspectives in the management of their dynamics.
Keywords:
F-transform
; BITCOIN
; Clustering
; Sentiment Analysis
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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