crypto-macro

Crypto market regime detection classifies conditions into Accumulation, Expansion, Distribution, or Contraction using volatility, BTC dominance, and rolling correlations to inform allocation sizing. This regime mapping aligns risk controls with current market phases.

Rolling correlation audits measure beta drift between BTC, ETH, altcoins, and macro indicators like DXY, SPX, and yields. This cross-asset correlation analysis identifies shifting relationships that impact wealth cycle thesis and allocation decisions.

Crypto regime mapping applies volatility and correlation scope across macro indicators and cross-asset relationships. This propagates regime classification into wealth cycle thesis and downstream sizing decisions for allocation strategies.

Crypto regime detection operates with no external dependencies, classifying market conditions using volatility, BTC.D, and rolling correlations internally. This standalone regime mapping feeds directly into wealth cycle and sizing workflows.

Crypto regime classification includes explicit R5 non-advisory clauses, source references, and attestation blocks in its outputs. This governance integration ensures regime detection results are traceable and compliant for downstream planning.

Crypto regime mapping carries an explicit R5 non-advisory clause, meaning it should not be used as direct investment advice. Regime classification and correlation audits inform sizing decisions but require human judgment for final risk management actions.