QuantNetX

Bitcoin Risk Metric - Logarithmic Regression Model

Method: This risk metric uses logarithmic polynomial regression to model Bitcoin price growth. The model assumes polylogarithmic growth: log(P(t)) = a·log(t-t₀) + b, where t₀ = 1.2625632×10⁹ (Unix time). The colored bands represent standard deviations in log space, indicating overvaluation (above) and undervaluation (below) regions.
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