feat(quant-engine): v8.9 제안서 P0-P3 로드맵 채택 — 15개 의사결정 엔진 신규 구현

suggest/quant_investment_engine_v8_9_portfolio_optimizer_canonical_refactored.yaml의
implementation_todo_v8_9(P0~P4) 전체를 spec/tool/golden case 레벨로 구현.

- P0: PORTFOLIO_TRANSITION_UTILITY_V1, SELL_LOT_PARETO_SELECTOR_V1, FORECAST_SIMULATION_ENGINE_V1
- P1: SECTOR_EXPOSURE_GRAPH_V1/LEADER_LIFECYCLE_GATE_V1, EXECUTION_CAPACITY_LADDER_V1, MODEL_GOVERNANCE_KILL_SWITCH_V1
- P2: SCENARIO_SHOCK_MATRIX_V1, TRANSITION_SET_ENUMERATOR_V1, IMMUTABLE_DECISION_LEDGER_V1, EXECUTION_PLAN_COMPILER_V1
- P3: STATE_VECTOR_CONSTRUCTOR_V1, WALK_FORWARD_BOOTSTRAP_V1, TRANSITION_SET_ENUMERATOR_V1(MRC/CVaR 확장),
      REBALANCE_CADENCE_GATE_V1, WEEKLY_LEGACY_TRANSFER_PLAN_V1

기존 regime/cluster 연동 정책 수치(현금방어선, 반도체 cap)는 그대로 유지하고 신규 cap 필드만 추가.
spec/09_decision_flow.yaml과 runtime/active_artifact_manifest.yaml에 전 엔진 배선 완료.
governance/todo/v8_9_p{0,1,2,3}_adoption_plan.yaml에 각 단계 작업 추적 기록.

검증: validate_specs/validate_golden_coverage_100(100%)/validate_calibration_registry_v1/
validate_schema_model_generation_v1/validate_agents_shrink_v1 전부 PASS. golden test 53/53 PASS.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

tools/build_execution_capacity_ladder_v1.py

@@ -0,0 +1,84 @@
+#!/usr/bin/env python3
+"""EXECUTION_CAPACITY_LADDER_V1 — spec/formulas/domains/execution.yaml.
+
+Caps a planned order amount to the asset's actual fillable capacity and blocks
+the execution plan outright when the broker_microstructure_packet is incomplete.
+governance/todo/v8_9_p1_adoption_plan.yaml P1-B.2.
+"""
+from __future__ import annotations
+
+import argparse
+import json
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parents[1]
+DEFAULT_ORDERS = ROOT / "Temp" / "execution_capacity_orders_v1.json"
+DEFAULT_OUT = ROOT / "Temp" / "execution_capacity_ladder_v1.json"
+
+SPREAD_WIDEN_MULTIPLIER = 1.5
+
+
+def _load(path: Path) -> dict:
+    if not path.exists():
+        return {}
+    try:
+        data = json.loads(path.read_text(encoding="utf-8"))
+        return data if isinstance(data, dict) else {}
+    except Exception:
+        return {}
+
+
+def evaluate_order_capacity(order: dict) -> dict:
+    if order.get("halt_status") is True:
+        return {**order, "gate": "EXECUTION_PLAN_BLOCKED", "reason_code": "trading_halt", "order_capacity_krw": None}
+
+    required = ["avg_trade_value_20d_krw", "intraday_trade_value_krw", "orderbook_top3_depth_krw", "spread_bps"]
+    if any(order.get(f) is None for f in required):
+        return {
+            **order,
+            "gate": "EXECUTION_PLAN_BLOCKED",
+            "reason_code": "broker_packet_missing",
+            "order_capacity_krw": None,
+        }
+
+    planned = float(order.get("planned_order_amount_krw") or 0.0)
+    capacity = min(
+        planned,
+        float(order["avg_trade_value_20d_krw"]) * 0.003,
+        float(order["intraday_trade_value_krw"]) * 0.01,
+        float(order["orderbook_top3_depth_krw"]) * 0.30,
+    )
+    gate = "ORDER_SIZE_CAPPED" if capacity < planned else "PASS"
+    return {**order, "gate": gate, "order_capacity_krw": capacity}
+
+
+def should_cancel_remaining_slices(current_spread_bps: float, baseline_spread_bps: float) -> bool:
+    return current_spread_bps > baseline_spread_bps * SPREAD_WIDEN_MULTIPLIER
+
+
+def main() -> int:
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--orders", default=str(DEFAULT_ORDERS))
+    ap.add_argument("--out", default=str(DEFAULT_OUT))
+    args = ap.parse_args()
+
+    doc = _load(Path(args.orders))
+    orders = doc.get("orders") if isinstance(doc.get("orders"), list) else []
+
+    rows = [evaluate_order_capacity(order) for order in orders if isinstance(order, dict)]
+
+    result = {
+        "formula_id": "EXECUTION_CAPACITY_LADDER_V1",
+        "gate": "PASS" if rows else "DATA_MISSING",
+        "rows": rows,
+        "split_order_template": {"slice_1_pct": 30, "slice_2_pct": 30, "slice_3_pct": 40},
+        "source_paths": [str(Path(args.orders))],
+    }
+    out = Path(args.out)
+    out.write_text(json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8")
+    print(json.dumps(result, ensure_ascii=False, indent=2))
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())