SCFL-M: Markets Are a Coherence Problem - Measuring When Systems Lose the Ability to Recover

Markets do not fail when metrics break. They fail when systems lose the ability to recover—and that loss occurs before it is visible in earnings, liquidity, or reported risk. SCFL-M introduces a way to measure that moment. The Standard Coherence Fidelity Layer enables zero-friction precursor detection—identifying loss of recoverability using only existing disclosures and telemetry, before conventional metrics respond. Rather than forecasting outcomes, the framework detects structural degradation as it forms across the seams of a system: governance, capital, and business model. As misalignment accumulates and begins to couple across these domains, systems move from drift to instability to rupture. By the time conventional indicators react, the critical boundary—where recovery was still possible—has already been crossed. SCFL-M operationalizes this process through the Coherence Drift Index (CDI), a real-time signal that tracks the progression toward non-recoverability. It identifies the precursor window in which intervention can still change outcomes—and the point at which it can no longer. Validated through historical reconstructions and prospective applications to live disclosures, SCFL-M reframes risk as a problem of recoverability rather than prediction. It is designed for decision-makers who need to act before systems fail—not explain them after.