AI-first map of the haanmetric-wq org — manifests, registries, cross-repo indices, and AI landing page.
Documentation hub for AstroCrown ACS — preregistration, methodology, diagrams, glossary, and cross-repo references.
Immutable calibration datasets for AstroCrown ACS Monte Carlo — market data, fees, oracle telemetry, supply/emission.
Benchmark protocols, comparator configs, and ranking tables for AstroCrown ACS — mission-first, reproducible, and tag-linked.
AI-Optimized JSON Spec
AstroCrown ACS simulation engine & NOVA governance logic — pure-floor (LCR=1.00) with fee-aware execution triggers.
Monte Carlo simulations were selected to model ACROWN’s behavior under uncertain, volatile market conditions—especially to test the effectiveness of the Anti-Crash System (ACS).
Simulation Objective To evaluate ACROWN’s Anti-Crash System (ACS) under BTC-pegged rebuy conditions, testing: Drawdown resilience Recovery speed Collapse probability TWAP rebuy efficiency
Simulation outputs and parameter surfaces for AstroCrown ACS — linked to exact core/data/governance tags.
NOVA governance configs, ethical clauses, and decision logs for AstroCrown ACS.
Human-Readable Markdown Report
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