Bitcoin market regime classification categorizes macro and on-chain conditions into discrete states: risk-on, risk-off, and transition. Single indicators like the yield curve or hash ribbons capture fragments. Multi-factor classification combines signals into one actionable state for position sizing and risk management.
Historical regime transitions since 2020 show that turning points are preceded by signal convergence across macro, on-chain, and cross-asset categories. AI agents receiving pre-classified regime context make earlier defensive adjustments during deteriorating conditions.