Bitcoin price power law is rejected on distributional series and not robust to time-origin shifts, but dominates medium-horizon forecasts against baselines because it avoids committing to specific wave shapes.
Giovanni Santostasi and Stephen Perrenod
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Rule-based model selection in time series forecasting achieves low accuracy and exhibits high ranking instability across data regimes and forecasting horizons.
citing papers explorer
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Bitcoin's Power Law: Weak Structure, Strong Forecasts
Bitcoin price power law is rejected on distributional series and not robust to time-origin shifts, but dominates medium-horizon forecasts against baselines because it avoids committing to specific wave shapes.
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Why Model Selection Fails in Time Series Forecasting: An Empirical Study of Instability Across Data Regimes
Rule-based model selection in time series forecasting achieves low accuracy and exhibits high ranking instability across data regimes and forecasting horizons.