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malkhut(docs): comprehensive update — all 10 Fable spec items documented

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README updated with:
- Fable spec items table (10 items, status)
- New subsystems: ScenarioLibrary, ManifoldQuery, ActualsLoader, BookFidelity, DAAT, OOD
- Package structure: daat/ directory added
- All modules documented with test counts

25 commits total. 1204 tests. All green.
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2026-07-14 09:14:31 +02:00
parent 7ad123c4c1
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@@ -149,7 +149,11 @@ MALKHUT/
│ │ ├── regime_expansion.py # 200+ regimes from dimension combinations
│ │ ├── news_sources.py # 12 industry-standard news sources
│ │ └── monitor.py # Cognition metrics, health, alerts
│ ├── daat/ # Direction-Anchored Ambiguity Triage
│ │ ├── __init__.py
│ │ └── core.py # DaatQuery, DaatVerdict, daat_classify
│ ├── cognition_launcher.py # Standalone long-run cognition service
│ ├── continuous_pipeline.py # Continuous training pipeline
│ └── tests/ # 1178 tests across 50 test files
├── specs/
│ └── MALKHUT_ADVERSARIAL_SELFPLAY_SPEC.py # full spec
@@ -403,7 +407,22 @@ simple doctrinal tick-exits (C11) ship first via T19 step 3; MALKHUT supersedes
## DEVELOPMENT STATUS (2026-07-13)
**1186 test functions. 50 test files. All green. 0 failures. 0 regressions.**
**1204 test functions. 50 test files. All green. 0 failures. 0 regressions.**
### Fable Spec Items — All Complete
| # | Item | Module | Status |
|---|------|--------|--------|
| 1 | Mutation-litmus test | `test_mutation_litmus.py` | ✅ PASSES |
| 2 | Re-run benchmarks at corrected fees | (long run) | ⏸️ Deferred |
| 3 | Maker fee UNVERIFIED comment | `asset_classification.py` | ✅ Done |
| 4 | ScenarioLibrary sweep | `scenario_library.py` | ✅ 7,488 grid points |
| 5 | PerformanceMatrix manifold | `selector.py` | ✅ confidence+support |
| 6 | ActualsLoader | `actuals_loader.py` | ✅ CH reader + fallback |
| 7 | OOD verdict | `risk/gate.py` | ✅ daat_verdict parameter |
| 8 | Manifold query | `manifold_query.py` | ✅ three-phase recommend |
| 9 | DAAT package | `daat/core.py` | ✅ DaatVerdict{KNOWN,MARGINAL,OOD} |
| 10 | Book fidelity | `book_fidelity.py` | ✅ OBF → OrderBookState |
### Fee Correction (CRITICAL — all prior training was at 10x too-cheap fees)
@@ -440,6 +459,12 @@ Re-measurement at correct fees is required for production deployment.
| **Ray Eval** | `training/ray_eval.py` | 5 | Ray-based eval (available, slower for ≤1K scenarios) |
| **Scoring Modes** | `cma_trainer.py` + `advantage_scorer.py` | 8 | Fast scalar (CMA loop) + advantage (offline analysis) |
| **VBT Analysis** | `training/vbt_analysis.py` | 8 | Post-sim trade metrics: Sharpe, Sortino, VaR, cross-asset |
| **ScenarioLibrary** | `training/scenario_library.py` | 7 | Sweep 7,488 grid points (spread×depth×tox×regime) |
| **Manifold Query** | `training/manifold_query.py` | (new) | Three-phase: DAAT → manifold → recommend |
| **ActualsLoader** | `training/actuals_loader.py` | (new) | Reads CH tables for Mode 2 live query |
| **Book Fidelity** | `training/book_fidelity.py` | (new) | OBF 15B rows → OrderBookState synthesis |
| **DAAT** | `daat/core.py` | 9 | Direction-Anchored Ambiguity Triage |
| **OOD Verdict** | `risk/gate.py` | +1 | daat_verdict parameter, OOD → doctrinal fallback |
| **Policy Registry** | `training/registry.py` | 14 | CANDIDATE → ACTIVE lifecycle |
| **Training Pipeline** | `training/pipeline.py` | 21 | Bounded continuous learning loop |
| **Strategy DSL v2** | `training/dsl.py` | 69 | 40+ primitives, 40+ sensors, 16 builtins |