feat: 리밸런싱 엔진 V1 + GAS 버그 수정 (2026-06-13)

주요 변경:
- tools/build_rebalance_engine_v1.py: REBALANCE_ENGINE_V1 신규
  * account_snapshot 직접 합산(_build_snap_position_map) → 소수주 분리 행 병합
  * 레짐 소스 macro.REGIME_PRELIM 최우선 (GAS 와 동일)
- src/gas_adapter_parts/gdf_06_rebalance.gs: runRebalanceSheet_() 신규
  * Logger.log / getSpreadsheet_() 로 run_all 연동 수정
- src/gas_adapter_parts/gdc_01_fetch_fundamentals.gs
  * _mergePositionRecord_(): 소수주 중복 행 합산 신규
  * parseInt → parseFloat (qty, availQty)
- src/gas_adapter_parts/gdf_01_price_metrics.gs
  * 미보유 종목 SELL_READY → WATCH_EXIT_SIGNAL
- spec/41_release_dag.yaml: build_rebalance_sheet 노드 추가 (step_count 63)
- spec/51_formula_lifecycle_registry.yaml: REBALANCE_ENGINE_V1 등록

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

tools/build_anti_late_chase_v6.py

@@ -0,0 +1,59 @@
+#!/usr/bin/env python3
+from __future__ import annotations
+
+import argparse
+import json
+from pathlib import Path
+
+
+ROOT = Path(__file__).resolve().parents[1]
+DEFAULT_IN = ROOT / "Temp" / "late_chase_attribution_v1.json"
+DEFAULT_OUT = ROOT / "Temp" / "anti_late_chase_v6.json"
+
+
+def _load(path: Path) -> dict:
+    if not path.exists():
+        return {}
+    try:
+        obj = json.loads(path.read_text(encoding="utf-8"))
+        return obj if isinstance(obj, dict) else {}
+    except Exception:
+        return {}
+
+
+def main() -> int:
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--late", default=str(DEFAULT_IN))
+    ap.add_argument("--out", default=str(DEFAULT_OUT))
+    args = ap.parse_args()
+
+    late = _load(Path(args.late))
+    metrics = late.get("metrics") if isinstance(late.get("metrics"), dict) else {}
+    threshold_ledger = late.get("threshold_ledger") if isinstance(late.get("threshold_ledger"), list) else []
+    threshold = (late.get("velocity_decile_thresholds") or {}).get("recommended_block_threshold", 70)
+    false_positive_rate = float(metrics.get("late_chase_proxy_false_positive_rate_pct") or 0.0)
+    sample_n = int((late.get("operational_samples") or late.get("samples") or 0))
+    avg_loss = None
+    if threshold_ledger:
+        vals = [float(row.get("avg_t5_return_pct")) for row in threshold_ledger if isinstance(row, dict) and row.get("avg_t5_return_pct") is not None]
+        if vals:
+            avg_loss = round(abs(sum(vals) / len(vals)), 2)
+    result = {
+        "formula_id": "ANTI_LATE_CHASE_V6",
+        "gate": "PASS" if sample_n > 0 else "INSUFFICIENT_DATA",
+        "late_entry_false_positive_rate": round(false_positive_rate, 2),
+        "chase_block_reason": "late_chase_risk_score>=threshold",
+        "opportunity_loss_pct": avg_loss,
+        "sample_count": sample_n,
+        "threshold": threshold,
+        "threshold_source": "late_chase_attribution_v1",
+        "source_path": str(Path(args.late)),
+    }
+    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())