Utilized sentiment-based features to predict cryptocurrency returns, models used: Random Forest Classifier, Random Forest Regressor, and VAR time-series model
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Updated
Jan 1, 2021 - Python
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return-prediction
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P.A.P.E.R. Platform for Asset-Pricing Experimentation and Research
machine-learning asset-pricing fama-french return-prediction empirical-asset-pricing fama-french-3-factor
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Jun 22, 2025 - Python
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