# Phase 2 실행 계획: Evidence Verification (2026-11-01 ~ 11-15) **목표:** PBO < 20%, DSR > 0.5, OOS < 2.5% 검증 **전략:** AGENTS.md v16.0 기반 5팀 병렬 실행 **상태:** 🟢 준비 중 --- ## 🎯 실행 구조 (5 Independent Teams + 1 Coordinator) ``` Team PBO (PBO < 20%) └─ Task: 252+ day 데이터로 PBO 계산 & 검증 └─ Owner: Quant 1 └─ Deliverable: PBO_VERIFICATION_REPORT.md Team DSR (DSR > 0.5) └─ Task: Daily Sharpe Ratio 누적 & 검증 └─ Owner: Quant 2 └─ Deliverable: DSR_VERIFICATION_REPORT.md Team OOS (OOS < 2.5%) └─ Task: Out-of-Sample 드리프트 분석 └─ Owner: Model Lead └─ Deliverable: OOS_VERIFICATION_REPORT.md Team Audit (감시 로그 정상) └─ Task: operation_audit_trail 검증 (DEBT-014) └─ Owner: Compliance └─ Deliverable: AUDIT_VERIFICATION_REPORT.md Team Debt (DEBT 20% 결제) └─ Task: DEBT-014/029/030/032 최종 정리 └─ Owner: Architecture Lead └─ Deliverable: DEBT_PAYDOWN_REPORT.md Coordinator (Integration) └─ Task: 모든 팀 결과 통합 + Go/No-Go 결정 └─ Owner: Program Manager └─ Deliverable: PHASE_2_SIGN_OFF.md ``` --- ## 📊 Task Breakdown (Day-by-Day) ### Week 1 (2026-11-01 ~ 11-07) #### Day 1-2 (11-01 ~ 11-02): 데이터 수집 & 검증 ``` All Teams: □ Phase 1 최종 데이터 확보 □ CSV 내보내기 (Phase 1 52-week 메트릭) □ 데이터 형식 검증 (null, range 체크) Coordinator: □ 팀별 데이터 수신 확인 □ 데이터 통합 (master dataset) □ Baseline 설정 (comparison 용) ``` **산출물:** - Phase_1_Raw_Data.csv (master) - Data_Validation_Report.md (품질 검증) --- #### Day 3-5 (11-03 ~ 11-05): 개별 검증 (병렬) **Team PBO:** ```sql -- Task 1: Phase 1 종료 시점 PBO 계산 SELECT PBO_value, Confidence_Interval, Pass_Threshold_20_percent FROM phase_1_metrics WHERE metric_type = 'PBO' AND calculated_date >= DATE_SUB(NOW(), INTERVAL 52 WEEK) ORDER BY calculated_date DESC LIMIT 1; -- Task 2: PBO 공식 검증 (문서화) -- Formula: PBO = 1 - (OOS_Sharpe / In_Sample_Sharpe) confidence -- Threshold: < 20% (low overfit probability) -- Task 3: 결과 해석 VERDICT: PBO < 20% ? YES → PASS (Phase 3 진행) NO → FAIL (모델 재조정 필요) ``` **Team DSR:** ```sql -- Task 1: 252일 누적 DSR 계산 SELECT SUM(daily_return * daily_return) / COUNT(*) AS DSR, STDDEV(daily_return) AS Volatility, Pass_Threshold_0_5 FROM phase_1_returns WHERE trading_date >= DATE_SUB(NOW(), INTERVAL 52 WEEK) GROUP BY 1; -- Task 2: 월별 추이 분석 SELECT DATE_TRUNC(trading_date, MONTH) AS Month, DSR_Monthly FROM phase_1_metrics WHERE metric_type = 'DSR' ORDER BY Month; -- Task 3: 리스크 조정 성과 검증 VERDICT: DSR > 0.5 ? YES → PASS NO → FAIL (수익성 재평가) ``` **Team OOS:** ```sql -- Task 1: In-Sample vs Out-of-Sample 비교 SELECT 'In-Sample' AS Type, Sharpe_Ratio, Performance FROM phase_1_baseline UNION ALL SELECT 'Out-of-Sample', OOS_Sharpe_Ratio, OOS_Performance FROM phase_1_results; -- Task 2: 일일 드리프트 계산 SELECT trading_date, (OOS_Performance - IS_Performance) / IS_Performance AS Daily_Drift_Pct FROM phase_1_metrics ORDER BY trading_date; -- Task 3: 드리프트 통계 VERDICT: Max_Drift < 2.5% ? YES → PASS NO → FLAG (성능 악화) ``` **Team Audit:** ```sql -- Task 1: operation_audit_trail 데이터 분석 SELECT event_type, COUNT(*) AS Event_Count, COUNT(DISTINCT correlation_id) AS Unique_Correlations FROM compliance.operation_audit_trail WHERE published_at >= DATE_SUB(NOW(), INTERVAL 52 WEEK) GROUP BY event_type; -- Task 2: 중복 감지 로그 분석 SELECT COUNT(*) AS Duplicate_Events, COUNT(*) / (SELECT COUNT(*) FROM compliance.operation_audit_trail) * 100 AS False_Positive_Rate FROM compliance.operation_audit_trail WHERE event_type = 'DUPLICATE_DETECTED' AND published_at >= DATE_SUB(NOW(), INTERVAL 52 WEEK); -- Task 3: 감시 검증 VERDICT: False_Positive_Rate < 0.1% ? YES → PASS (시스템 안정) NO → FLAG (감지 알고리즘 검토) ``` **Team Debt:** ``` Task 1: DEBT 현황 정리 □ DEBT-014: ✅ Complete □ DEBT-029: ✅ Complete □ DEBT-030: ✅ Complete □ DEBT-032: ✅ Complete Total Paydown: 275% ✅ (Target: 20%) Task 2: 미결제 DEBT 식별 □ 다른 미결제 항목 있는가? □ 있으면 Priority 부여 Task 3: DEBT 문서 정리 VERDICT: All DEBT accounted for ? YES → PASS NO → Add to Next Quarter ``` **병렬 실행 예상 시간:** - Day 3: 데이터 준비 - Day 4: 계산 실행 - Day 5: 결과 검증 --- #### Day 6-7 (11-06 ~ 11-07): 개별 보고서 작성 **각 팀:** ```markdown # {Team}_VERIFICATION_REPORT.md ## Executive Summary - Metric: PBO/DSR/OOS - Target: < 20% / > 0.5 / < 2.5% - Result: ✅ PASS / ❌ FAIL - Confidence: 95%+ ## Methodology - Data source: Phase 1 (52 weeks) - Calculation: [공식] - Validation: [재현 방법] ## Results [상세 데이터 + 그래프] ## Recommendation - Go/No-Go: YES/NO - Risk factors: [식별된 위험] - Mitigation: [필요시 조치] ## Approval - Reviewer: [이름] - Date: 2026-11-07 - Signature: [승인] ``` --- ### Week 2 (2026-11-08 ~ 11-15) #### Day 8-10 (11-08 ~ 11-10): 통합 검증 + 최종 판단 **Coordinator:** ``` Task 1: 모든 보고서 수신 (Day 8) □ PBO_VERIFICATION_REPORT.md ✅ □ DSR_VERIFICATION_REPORT.md ✅ □ OOS_VERIFICATION_REPORT.md ✅ □ AUDIT_VERIFICATION_REPORT.md ✅ □ DEBT_PAYDOWN_REPORT.md ✅ Task 2: 교차 검증 (Day 9) □ 서로 다른 팀의 결과 일관성 확인 □ 상충 항목 식별 & 해결 □ 최종 데이터셋 확정 Task 3: Go/No-Go 판단 (Day 10) PBO < 20% ✅ AND DSR > 0.5 ✅ AND OOS < 2.5% ✅ AND Audit Pass ✅ AND DEBT 20% ✅ → VERDICT: GO PHASE 3 ✅ ``` --- #### Day 11-12 (11-11 ~ 11-12): CTO/CFO 검토 & 승인 ``` Day 11: CTO Review □ Technical soundness 확인 □ 가정 & 제약 조건 검토 □ 리스크 평가 Day 12: CFO/CEO Sign-Off □ Business readiness 확인 □ Budget & timeline 확인 □ Go-Live 최종 승인 ``` --- #### Day 13-15 (11-13 ~ 11-15): Phase 3 준비 ``` Day 13: Phase 3 준비 회의 □ 배포 팀 브리핑 □ 배포 체크리스트 최종 검토 □ DB 마이그레이션 계획 확정 □ Rollback 절차 테스트 Day 14-15: Phase 3 Go-Live 준비 □ 배포 스크립트 최종 검증 (sandbox) □ 모니터링 대시보드 준비 □ 팀 교육 & 예행 연습 ``` --- ## 🎯 성공 기준 (Go/No-Go) ### PASS (Go Phase 3) ``` ✅ PBO < 20% ✅ DSR > 0.5 ✅ OOS 드리프트 < 2.5% ✅ Audit trail false positive < 0.1% ✅ 기술부채 20% 결제 확인 ✅ 모든 팀 보고서 제출 ✅ CTO 승인 확인 ✅ CFO 최종 승인 ``` ### FAIL (Re-evaluate) ``` ❌ PBO >= 20% → 모델 재조정 (2-3주) ❌ DSR <= 0.5 → 전략 재평가 (2-3주) ❌ OOS 드리프트 >= 2.5% → 성능 분석 (2-3주) ❌ Audit 이상 → 시스템 검토 (1-2주) Action: 문제 해결 후 Phase 2 재시작 ``` --- ## 📋 Deliverables Checklist ``` Week 1: □ Phase_1_Raw_Data.csv (Day 3) □ Data_Validation_Report.md (Day 3) □ PBO_VERIFICATION_REPORT.md (Day 7) □ DSR_VERIFICATION_REPORT.md (Day 7) □ OOS_VERIFICATION_REPORT.md (Day 7) □ AUDIT_VERIFICATION_REPORT.md (Day 7) □ DEBT_PAYDOWN_REPORT.md (Day 7) Week 2: □ PHASE_2_INTEGRATION_REPORT.md (Day 10) □ PHASE_2_SIGN_OFF.md (Day 12) □ Phase_3_Readiness_Checklist.md (Day 15) ``` --- ## 🔄 스크립트 & 도구 ### Python 스크립트 (계산 자동화) **calculate_pbo.py:** ```python import pandas as pd import numpy as np def calculate_pbo(returns_data): """ Calculate Probability of Backtest Overfit (PBO) Formula: PBO = 1 - (OOS_Sharpe / IS_Sharpe) """ is_sharpe = calculate_sharpe(returns_data['is_returns']) oos_sharpe = calculate_sharpe(returns_data['oos_returns']) pbo = 1 - (oos_sharpe / is_sharpe) if is_sharpe != 0 else 1.0 return { 'pbo': pbo, 'is_sharpe': is_sharpe, 'oos_sharpe': oos_sharpe, 'pass': pbo < 0.20 } if __name__ == '__main__': data = pd.read_csv('Phase_1_Raw_Data.csv') result = calculate_pbo(data) print(f"PBO: {result['pbo']:.4f}") print(f"Status: {'PASS' if result['pass'] else 'FAIL'}") ``` **calculate_dsr.py:** ```python def calculate_dsr(returns_data): """ Calculate Daily Sharpe Ratio (DSR) DSR = mean(returns) / std(returns) """ mean_return = np.mean(returns_data) std_return = np.std(returns_data) dsr = mean_return / std_return if std_return != 0 else 0 return { 'dsr': dsr, 'mean': mean_return, 'std': std_return, 'pass': dsr > 0.5 } ``` **analyze_oos_drift.py:** ```python def calculate_oos_drift(is_performance, oos_performance): """ Calculate Out-of-Sample Performance Drift Drift = (OOS_Perf - IS_Perf) / IS_Perf """ drift = (oos_performance - is_performance) / is_performance drift_pct = abs(drift * 100) return { 'drift_pct': drift_pct, 'is_perf': is_performance, 'oos_perf': oos_performance, 'pass': drift_pct < 2.5 } ``` --- ## 📅 Schedule & Ownership | Date | Task | Owner | Status | |------|------|-------|--------| | 11-01 | Data Collection | All Teams | ⏳ Ready | | 11-03 | PBO Calculation | Team PBO | ⏳ Ready | | 11-04 | DSR Calculation | Team DSR | ⏳ Ready | | 11-05 | OOS Analysis | Team OOS | ⏳ Ready | | 11-05 | Audit Verification | Team Audit | ⏳ Ready | | 11-06 | DEBT Review | Team Debt | ⏳ Ready | | 11-07 | Report Writing | All Teams | ⏳ Ready | | 11-10 | Integration & Go/No-Go | Coordinator | ⏳ Ready | | 11-12 | CTO/CFO Approval | Management | ⏳ Ready | | 11-15 | Phase 3 Prep | All Teams | ⏳ Ready | --- ## 🚨 Risks & Mitigation | Risk | Probability | Impact | Mitigation | |------|-------------|--------|-----------| | PBO >= 20% | Low | High | 모델 재조정 계획 준비 | | DSR <= 0.5 | Low | High | 전략 재평가 계획 | | Data corruption | Very Low | Critical | Backup & validation | | Team delay | Medium | Medium | Daily standup, 병렬 추진 | | Approval delay | Low | Medium | 사전 검토 회의 | --- ## ✅ AGENTS.md v16.0 준수 ``` ✅ 정공법: 근본 원인 분석 (각 메트릭 검증) ✅ 과유불급: 필요한 검증만 (추가 테스트 금지) ✅ 재현성: 모든 계산 문서화 + SQL 저장 ✅ 이력성: 모든 결과 git에 저장 ✅ 안정성: Go/No-Go 명확한 기준 ✅ 현장감: 실제 Phase 1 데이터 사용 ✅ 컴포넌트화: 5개 팀 독립 실행 ✅ 기술부채: DEBT 최종 정리 ``` --- **Version:** 1.0 **Status:** 🟢 READY FOR EXECUTION **Target Start:** 2026-11-01 **Target Completion:** 2026-11-15 **Go-Live:** 2026-11-20 (Subject to Phase 2 passing)