RARE Framework
Risk-Aware Routing Engine — the conceptual foundation for evaluating whether market structure supports capital deployment.
Structural Admissibility
The core thesis. Markets alternate between structurally admissible and inadmissible states — and this distinction is measurable, persistent, and actionable. The framework does not predict where prices will go. It evaluates whether the current structural environment supports disciplined capital deployment.
Three Pillars of Integrity
Admissibility is measured across three independent structural dimensions. Each pillar evaluates a different aspect of market health, and all three must contribute to a passing score. The diagnostic chart illustrates this during the highly volatile 2021–2022 Bitcoin cycle: demonstrating how the pillars synthesize to hold exposure during the Q1 euphoric run, execute a structural hard block during the May crash, and effectively lock out capital before the onset of the multi-year crypto winter. Notice the extreme sharpness of the Material Integrity transitions—proving the engine detects structural breakdowns instantly, rather than lagging behind price like traditional moving averages.
Material (φ_m)
Price structure integrity — evaluating trend coherence, support/resistance architecture, and the quality of the price signal itself.
Energetic (φ_e)
Volatility regime stability — measuring whether the current volatility environment is structured or chaotic, and whether regime transitions are orderly.
Temporal (φ_t)
Cycle and momentum alignment — assessing whether the asset's temporal dynamics support forward deployment or signal structural exhaustion.
Composite Integrity
The three pillars synthesize into Composite Integrity (C_t) — a single score ranging from 0 to 3. An admissibility threshold (≥ 2.2) determines when market structure is sufficient for full capital deployment. Below the critical threshold (< 0.8), all new positions are hard-blocked regardless of directional signal strength.
Monte Carlo Simulation
Forward-looking stochastic ensembles generate price dispersion intelligence conditioned on each asset's current structural state. Seeded, reproducible simulation paths produce bias, sigma, and expected value estimates over a 15-day structural alignment horizon — grounding forward conviction in statistical physics rather than narrative prediction.
Per-Asset Disposition
Not every asset responds identically to stochastic alignment. The production universe is classified into four disposition tiers based on empirical validation of MC signal contribution.
Full Stochastic (MC On Optimized)
Assets where Monte Carlo signal override, deterministic pathing, and per-asset z-score thresholds are all active. MC provides full consensus alignment over timing and conviction. The majority of the production universe operates in this mode.
Soft Brake
Assets where MC evaluates forward pathing but does not exercise a hard signal veto. Stochastic intelligence informs sizing through distance modulation, but the deterministic pipeline retains final timing control.
Hard Gate
Assets where MC stochastic routing is fully bypassed. The decision engine operates purely on deterministic structural physics — Technique J and z-score braking still apply through the deterministic pipeline.
Deterministic Anchor
Macro-level assets used for cross-asset regime context. These operate without MC alignment or distance sizing, providing stable reference signals for the broader portfolio orchestration layer.
Dynamic Braking
Capital deployment is modulated through multi-tiered gating. Hard thresholds block execution outright when structural integrity collapses — protecting capital from deployment into hostile environments. Soft thresholds attenuate position sizing as conditions degrade, scaling exposure proportionally to structural confidence rather than applying binary on/off switches.
Asymmetric Consensus
The final synthesis layer. Independent stochastic simulations must reach consensus with structural integrity measurements before capital deploys. Each simulation runs autonomously — asymmetric agreement across ensembles is required for conviction. No single layer can override the ensemble.
RARE Framework
The conceptual foundation — Structural Admissibility, Three Pillars of Integrity, Composite Integrity, Monte Carlo Simulation, Dynamic Braking, and Asymmetric Consensus.
Explore Framework →RARE Foundation
Structural admissibility, Monte Carlo ensembles, and regime persistence — peer-ready published research.
Read Papers →RARE Validation
Proving the infrastructure works and the results are correct — structural foundation, tools, MC simulation, outcome validation, and portfolio validation.
Review Validation →