Oracle Glossary: Glossary of Trace Parameters
Exact definitions for each metric, structural grade, and simulation output generated by the RARE Engine.
Structural & Regime Classification
Core analytical inputs that define the market's current structural reality.
Anchor-Blended Calibration
A comprehensive framework that conditions volatility and various time-varying asset parameters. It dynamically calibrates Monte Carlo simulations to ensure that generated forward paths accurately reflect the asset's current structural reality.
Composite Integrity (C_t)
The primary gating value that aggregates the pillars of structural integrity. A signal is only passed to tactical execution if the Continuous Composite Integrity (C_t) exceeds the strict minimum threshold.
Energetic Integrity (φ_e)
Assesses volatility stability and dissipation. It monitors whether the market's participation energy is dissipating in a controlled manner or expanding beyond disciplined, predictable participation. This metric acts as a primary filter against structural decay, using a temporal hysteresis latch to quarantine capital when the usable energy of a localized trend fractures into chaotic variance.
Fragility (γ_t)
The structural dissipation slope measures the rate of change of Composite Integrity over a trailing window. Positive values indicate structural accretion, while negative values indicate active structural dissipation. This dynamic quantity is mathematically orthogonal to realized volatility, providing an independent observable of market stability.
Material Integrity (φ_m)
Assesses price structure and geometric coherence. It evaluates whether the observed price trajectory forms stable, interpretable mathematical patterns or devolves into chaotic noise. This pillar analyzes the density of local extrema to penalize choppiness, combining this with ATR-normalized directional slope vectors to confirm structural momentum rather than reacting to raw price amplitude.
Structural Admissibility
The foundational binary regime state (Admissible or Inadmissible) determines if an asset is structurally safe to hold. As established in WP3, it acts as a persistent state variable measuring structural quality, driven by volatility, momentum, and robust historical boundary conditions.
Temporal Integrity (φ_t / Ethereal Integrity)
Assesses regime persistence, memory, and continuity. It measures whether the current structural state shows directional memory or if its coherence is breaking down over time. By continuously calculating the asset's Hurst exponent and autocorrelation coefficients—and comparing these against expected volatility composure—this pillar quantifies the probabilistic lifespan of the current structural reality.
Monte Carlo Simulation Physics
Metrics for generating forward-looking stochastic intelligence.
Base vs. Stochastic (mc_off vs mc_on)
The core A/B evaluation framework demonstrates the engine's value. 'mc_off' uses only structural rules, while 'mc_on' incorporates Monte Carlo simulation logic. Performance differences mathematically quantify the edge provided by simulation.
Coefficient of Variation (CV)
A normalized measure of simulation noise, calculated as the standard deviation of outcomes divided by the mean. It is critical for evaluating the fragility of a strategy.
MC Simulation Ensemble
A distribution of forward price paths generated using seeded stochastic geometry, conditioned on the asset's current structural signature.
Sigma (Dispersion)
The standard deviation of terminal prices across the Monte Carlo ensemble. High dispersion indicates extreme forward uncertainty.
Simulation Bias
The geometric center of mass of the simulated future paths, which indicates a systemic drift either upward or downward.
Decision Criteria and Execution
Criteria that determine how initial data is transformed into deployed capital.
Fractional Sizing
The exact percentage of the asset's maximum allowable exposure that is deployed on a given bar. Instead of being driven by a single engine, this is the final mathematical composite output of all underlying sizing modulations, ensuring precise and bounded participation.
Sizing Modulation
A rigorous protocol for sizing where capital allocation scales continuously based on a combination of structural factors, including the mathematical distance from minimum threshold boundaries, volatility scaling ratios, and continuous regime scores, rather than a binary all-in execution.
Performance Validation Metrics
The standardized metrics used during universal replay sweeps to rank and select the most efficient production strategies based on Pareto-optimality.
5D Pareto Frontier Optimization
The process of multi-objective analysis that selects strategies which mathematically balance ARCAGR, FV, DD%, CV, and Trade Consistency, rather than focusing on maximizing a single metric.
At-Risk CAGR (ARCAGR)
The core performance metric that measures the compounded annual growth rate generated specifically during periods when investments are actively managed, ignoring idle cash yield.
Capital Exposure (CU%)
The average percentage of capital actively deployed into an asset during the backtest timeline, reflecting the strategy's true time-in-market compared to idle baseline cash.
Consistency Score (CT)
A multi-dimensional composite rank that evaluates the smoothness and reliability of the execution equity curve over time, using metrics such as the Sortino ratio, Minimum 12M return, Half-Period ratio, Win Rate, and Calmar ratio.
Maximum Drawdown (DD%)
The greatest peak-to-trough equity decline experienced by the strategy.
Out-of-Sample Holdout Validation
A strict scientific standard where specific market years are hidden from the optimization engine. If a strategy fails on the holdout data, it is rejected, mathematically preventing curve-fitting.
Terminal Final Value (FV)
The absolute ending equity value of a specific strategy variant calculated across the entire backtest horizon.
Explore More Research
RARE Framework
The conceptual foundation includes Structural Admissibility, Three Pillars of Integrity, Composite Integrity, Monte Carlo Simulation, Dynamic Braking, and Asymmetric Consensus.
Explore FrameworkRARE Foundation
Structural admissibility, Monte Carlo ensembles, and regime persistence are covered in peer-ready published research.
Read PapersRARE Validation
Proving the infrastructure works and the results are correct involves structural foundation, tools, Monte Carlo simulation, outcome validation, and portfolio validation.
Review Validation