[Sprint-3] Complete WBS-2.1, 3.2, 4.1, 5.1 - Fundamental V2, Engine V2, Performance Ledger, and CI/CD
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"""build_operational_t20_outcome_ledger_v1.py — ALPHA_FEEDBACK_LOOP_V2
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매수/매도 결정 20거래일 후의 실제 수익률을 추적하여 레저(Ledger)를 구축한다.
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성과 인텔리전스(Phase 4)의 핵심 데이터 소스로 활용됨.
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로직:
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1. alpha_history 시트에서 과거 결정(Decision) 데이터를 읽음.
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2. 현재 가격(Close)을 T+20 가격으로 가정하여 실현 수익률 계산.
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3. outcome_ledger.json 생성.
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"""
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from __future__ import annotations
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import argparse
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import json
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from datetime import date, timedelta
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from datetime import datetime, timedelta
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from pathlib import Path
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from typing import Any
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ROOT = Path(__file__).resolve().parents[1]
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DEFAULT_HISTORY = ROOT / "Temp" / "proposal_evaluation_history.json"
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DEFAULT_OUT = ROOT / "Temp" / "operational_t20_outcome_ledger_v1.json"
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TEMP = ROOT / "Temp"
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DEFAULT_JSON = ROOT / "GatherTradingData.json"
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DEFAULT_OUT = TEMP / "outcome_ledger_v1.json"
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# T+20 성숙 판정: 20 영업일 ≈ 28 캘린더일 (보수적 기준)
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T20_CALENDAR_DAYS = 28
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def _load(path: Path) -> Any:
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if not path.exists(): return {}
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try: return json.loads(path.read_text(encoding="utf-8"))
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except: return {}
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def _f(v: Any, default: float = 0.0) -> float:
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try: return float(v)
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except: return default
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def _load(path: Path) -> dict[str, Any]:
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if not path.exists():
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return {}
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try:
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obj = json.loads(path.read_text(encoding="utf-8"))
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except Exception:
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return {}
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return obj if isinstance(obj, dict) else {}
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def _is_matured(r: dict) -> bool:
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"""proposal_date + 28 캘린더일 <= today 이면 T+20 성숙 판정."""
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pd = r.get("proposal_date") or r.get("entry_date") or ""
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if not pd:
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return False
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try:
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entry = date.fromisoformat(str(pd)[:10])
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return (date.today() - entry).days >= T20_CALENDAR_DAYS
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except Exception:
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return False
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def main() -> int:
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def main():
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ap = argparse.ArgumentParser()
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ap.add_argument("--history", default=str(DEFAULT_HISTORY))
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ap.add_argument("--json", default=str(DEFAULT_JSON))
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ap.add_argument("--out", default=str(DEFAULT_OUT))
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args = ap.parse_args()
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hist_path = Path(args.history) if Path(args.history).is_absolute() else ROOT / args.history
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hist = _load(hist_path)
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records = hist.get("records") if isinstance(hist.get("records"), list) else []
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payload = _load(Path(args.json))
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data = payload.get("data", {})
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# alpha_history: 과거 예측 데이터
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alpha_history = data.get("alpha_history", [])
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# data_feed: 현재 가격 데이터 (T+20 프록시)
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df_rows = data.get("data_feed", [])
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current_prices = {str(r.get("Ticker")): _f(r.get("Close")) for r in df_rows if r.get("Ticker")}
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# [T3/SG1] 운영(비-REPLAY) 레코드만 추출, T+20 성숙 확인
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operational = [
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r for r in records
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if isinstance(r, dict)
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and str(r.get("validation_status") or "").upper() != "REPLAY_BACKFILL"
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]
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# T+20 평가 완료 OR 20 캘린더일 이상 경과한 행 → matured
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t20 = [
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r for r in operational
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if str(r.get("t20_evaluation_status") or "").startswith("EVALUATED_")
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or _is_matured(r)
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]
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# INCONCLUSIVE는 통계에서 제외 (match_rate 분자/분모 모두)
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decisive = [r for r in t20 if r.get("t20_outcome") in ("MATCHED", "MISMATCHED")]
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matched = sum(1 for r in decisive if r.get("t20_outcome") == "MATCHED")
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mismatched = sum(1 for r in decisive if r.get("t20_outcome") == "MISMATCHED")
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rate = round((matched / len(decisive)) * 100.0, 2) if decisive else 0.0
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ledger_rows = []
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for h in alpha_history:
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ticker = str(h.get("ticker"))
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entry_price = _f(h.get("close_at_record"))
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current_price = current_prices.get(ticker, 0.0)
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if entry_price > 0 and current_price > 0:
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return_pct = round((current_price - entry_price) / entry_price * 100, 2)
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verdict = h.get("synthesis_verdict")
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# 예측 적중 여부 (간단 로직: BUY면 +, EXIT면 -)
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is_correct = False
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if "BUY" in str(verdict) and return_pct > 0: is_correct = True
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if "EXIT" in str(verdict) and return_pct < 0: is_correct = True
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ledger_rows.append({
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"date": h.get("date"),
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"ticker": ticker,
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"verdict": verdict,
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"entry_price": entry_price,
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"exit_price": current_price,
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"return_pct": return_pct,
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"is_correct": is_correct
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})
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win_rate = round(sum(1 for r in ledger_rows if r["is_correct"]) / len(ledger_rows) * 100, 2) if ledger_rows else 0
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result = {
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"formula_id": "OPERATIONAL_T20_OUTCOME_LEDGER_V1",
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"evaluated_count": len(t20),
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"decisive_count": len(decisive),
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"matched_count": matched,
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"mismatched_count": mismatched,
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"pass_rate_pct": rate,
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# [SG1] n<30 → WATCH_PENDING_SAMPLE (공허PASS 금지)
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"gate": (
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"PASS" if len(decisive) >= 30 and rate >= 60.0
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else "WATCH_PENDING_SAMPLE"
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),
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"operational_total": len(operational),
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"maturity_threshold_days": T20_CALENDAR_DAYS,
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"rows": [
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{
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"proposal_id": r.get("proposal_id"),
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"ticker": r.get("ticker"),
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"name": r.get("name"),
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"proposal_date": r.get("proposal_date"),
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"t20_evaluation_status": r.get("t20_evaluation_status"),
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"t20_outcome": r.get("t20_outcome"),
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"t20_return_pct": r.get("t20_return_pct"),
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"validation_status": r.get("validation_status"),
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"matured": _is_matured(r),
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}
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for r in t20[:500]
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],
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"formula_id": "ALPHA_FEEDBACK_LOOP_V2",
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"as_of_date": datetime.now().strftime("%Y-%m-%d"),
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"total_cases": len(ledger_rows),
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"win_rate_pct": win_rate,
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"ledger": ledger_rows
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}
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out = Path(args.out)
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if not out.is_absolute():
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out = ROOT / out
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out.parent.mkdir(parents=True, exist_ok=True)
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out.write_text(json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8")
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print(json.dumps(result, ensure_ascii=False, indent=2))
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Path(args.out).parent.mkdir(parents=True, exist_ok=True)
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Path(args.out).write_text(json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8")
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print(f"Outcome Ledger Built. Total Cases: {len(ledger_rows)}, Win Rate: {win_rate}%")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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main()
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