Bitcoin Price Short-term Forecast Using Twitter Sentiment Analysis by Alexey Yu. Mikhaylov, Vikas Khare, Solomon Eghosa Uhunamure, Tsangyao Chang, Diana Stepanova

“…The goal of the article is to develop an innovative forecasting approach based on the Random Forest and fuzzy logic models for predicting crypto-asset prices (IFSs, PFSs, q-ROFSs). The baseline forecast horizon is 90 days (additional horizons are 30, 60, 120 and 150 days), which allows to estimate the significance of the chosen features and the impact of time on the forecast accuracy. …”
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