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Bitcoin's Power Law: Weak Structure, Strong Forecasts

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Bitcoin's Power Law: Weak Structure, Strong Forecasts
⚡ TL;DR · AI summary

A recent study examines Bitcoin's price behavior through the lens of power law statistics. The findings suggest that while Bitcoin's price may initially appear to follow a power law, the structure is weak and not robust across different time frames. The research indicates that alternative models may provide better forecasts for Bitcoin's price movements over longer horizons.

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arXiv.org
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Statistics > Applications arXiv:2605.21316 (stat) [Submitted on 20 May 2026] Title:Bitcoin's Power Law: Weak Structure, Strong Forecasts Authors:Carlos Baquero, Raquel Menezes View a PDF of the paper titled Bitcoin's Power Law: Weak Structure, Strong Forecasts, by Carlos Baquero and 1 other authors View PDF HTML (experimental) Abstract:Bitcoin's price has been described as following a power law (PL) in time, $P \sim t^{\beta}$ with $\hat\beta \approx 5.7$ over 2010-2026. We test this claim using the Clauset-Shalizi-Newman protocol applied to Bitcoin's tail-relevant distributional series, and develop three principled time-domain adaptations of the protocol.

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