fix: backfill split pnl migration and harden partial pnl inputs

feat: separate strategy and fx pnl fields in trade logs (TASK-CODE-011)
Merge pull request '[BACKTEST-MODEL] TKT-P1-005 보수적 체결 모델 구현' (#294 ) from feature/issue-tkt-p1-005-conservative-fill-model into feature/v3-session-policy-stream
2026-02-27 08:46:22 +09:00 · 2026-02-27 08:44:05 +09:00 · 2026-02-27 08:42:22 +09:00 · 2026-02-27 08:41:56 +09:00 · 2026-02-27 08:40:23 +09:00 · 2026-02-27 08:37:15 +09:00
40 changed files with 4398 additions and 79 deletions
--- a/docs/ouroboros/00_validation_system.md
+++ b/docs/ouroboros/00_validation_system.md
@@ -0,0 +1,56 @@
+<!--
+Doc-ID: DOC-VAL-001
+Version: 1.0.0
+Status: active
+Owner: strategy
+Updated: 2026-02-26
+-->
+
+# 문서 검증 시스템
+
+본 문서는 문서 간 허위 내용, 수치 충돌, 구현 불가능 지시를 사전에 제거하기 위한 검증 규칙이다.
+
+## 검증 목표
+
+- 단일 진실원장 기준으로 모든 지시서의 수치/규칙 정합성 보장
+- 설계 문장과 코드 작업 지시 간 추적성 보장
+- 테스트 미정의 상태에서 구현 착수 금지
+
+## 불일치 유형 정의
+
+- `RULE-DOC-001`: 정의되지 않은 요구사항 ID 사용
+- `RULE-DOC-002`: 동일 요구사항 ID에 상충되는 값(예: 슬리피지 수치) 기술
+- `RULE-DOC-003`: 시간대 미표기 또는 KST/UTC 혼용 지시
+- `RULE-DOC-004`: 주문 정책과 리스크 정책 충돌(예: 저유동 세션 시장가 허용)
+- `RULE-DOC-005`: 구현 태스크에 테스트 ID 미연결
+- `RULE-DOC-006`: 문서 라우팅 링크 깨짐
+
+## 검증 파이프라인
+
+1. 정적 검사 (자동)
+- 대상: `docs/ouroboros/*.md`
+- 검사: 메타데이터, 링크 유효성, ID 정의/참조 일치, REQ-추적성 매핑
+- 도구: `scripts/validate_ouroboros_docs.py`
+
+2. 추적성 검사 (자동 + 수동)
+- 자동: `REQ-*`가 최소 1개 `TASK-*`와 1개 `TEST-*`에 연결되었는지 확인
+- 수동: 정책 충돌 후보를 PR 체크리스트로 검토
+
+3. 도메인 무결성 검사 (수동)
+- KIS 점검시간 회피, 주문 유형 강제, Kill Switch 순서, 환율 정책이 동시에 존재하는지 점검
+- 백테스트 체결가가 보수 가정인지 점검
+
+## 변경 통제 규칙
+
+- `REQ-*` 추가/수정 시 반드시 `01_requirements_registry.md` 먼저 변경
+- `TASK-*` 수정 시 반드시 `40_acceptance_and_test_plan.md`의 대응 테스트를 동시 수정
+- 충돌 발생 시 우선순위: `requirements_registry > phase execution > code work order`
+
+적용 룰셋:
+- `RULE-DOC-001` `RULE-DOC-002` `RULE-DOC-003` `RULE-DOC-004` `RULE-DOC-005` `RULE-DOC-006`
+
+## PR 게이트
+
+- `python3 scripts/validate_ouroboros_docs.py` 성공
+- 신규/변경 `REQ-*`가 테스트 기준(`TEST-*`)과 연결됨
+- 원본 계획(v2/v3)과 모순 없음
--- a/docs/ouroboros/01_requirements_registry.md
+++ b/docs/ouroboros/01_requirements_registry.md
@@ -0,0 +1,39 @@
+<!--
+Doc-ID: DOC-REQ-001
+Version: 1.0.0
+Status: active
+Owner: strategy
+Updated: 2026-02-26
+-->
+
+# 요구사항 원장 (Single Source of Truth)
+
+이 문서의 ID가 계획/구현/테스트 전 문서에서 참조되는 유일한 요구사항 집합이다.
+
+## v2 핵심 요구사항
+
+- `REQ-V2-001`: 상태는 `HOLDING`, `BE_LOCK`, `ARMED`, `EXITED` 4단계여야 한다.
+- `REQ-V2-002`: 상태 전이는 매 틱/바 평가 시 최상위 상태로 즉시 승격되어야 한다.
+- `REQ-V2-003`: `EXITED` 조건은 모든 상태보다 우선 평가되어야 한다.
+- `REQ-V2-004`: 청산 로직은 Hard Stop, BE Lock, ATR Trailing, 모델 확률 보조 트리거를 포함해야 한다.
+- `REQ-V2-005`: 라벨링은 Triple Barrier(Upper/Lower/Time) 방식이어야 한다.
+- `REQ-V2-006`: 검증은 Walk-forward + Purge/Embargo를 강제한다.
+- `REQ-V2-007`: 백테스트는 비용/슬리피지/체결실패를 반영하지 않으면 채택 불가다.
+- `REQ-V2-008`: Kill Switch는 신규주문차단 -> 미체결취소 -> 재조회 -> 리스크축소 -> 스냅샷 순서다.
+
+## v3 핵심 요구사항
+
+- `REQ-V3-001`: 모든 신호/주문/로그는 `session_id`를 포함해야 한다.
+- `REQ-V3-002`: 세션 전환 시 리스크 파라미터 재로딩이 수행되어야 한다.
+- `REQ-V3-003`: 브로커 블랙아웃 시간대에는 신규 주문이 금지되어야 한다.
+- `REQ-V3-004`: 블랙아웃 중 신호는 Queue에 적재되고, 복구 후 유효성 재검증을 거친다.
+- `REQ-V3-005`: 저유동 세션(`NXT_AFTER`, `US_PRE`, `US_DAY`, `US_AFTER`)은 시장가 주문 금지다.
+- `REQ-V3-006`: 백테스트 체결가는 불리한 방향 체결 가정을 기본으로 한다.
+- `REQ-V3-007`: US 운용은 환율 손익 분리 추적과 통화 버퍼 정책을 포함해야 한다.
+- `REQ-V3-008`: 마감/오버나잇 규칙은 Kill Switch와 충돌 없이 연동되어야 한다.
+
+## 공통 운영 요구사항
+
+- `REQ-OPS-001`: 타임존은 모든 시간 필드에 명시(KST/UTC)되어야 한다.
+- `REQ-OPS-002`: 문서의 수치 정책은 원장에서만 변경한다.
+- `REQ-OPS-003`: 구현 태스크는 반드시 테스트 태스크를 동반한다.
--- a/docs/ouroboros/10_phase_v2_execution.md
+++ b/docs/ouroboros/10_phase_v2_execution.md
@@ -0,0 +1,63 @@
+<!--
+Doc-ID: DOC-PHASE-V2-001
+Version: 1.0.0
+Status: active
+Owner: strategy
+Updated: 2026-02-26
+-->
+
+# v2 실행 지시서 (설계 -> 코드)
+
+참조 요구사항: `REQ-V2-001` `REQ-V2-002` `REQ-V2-003` `REQ-V2-004` `REQ-V2-005` `REQ-V2-006` `REQ-V2-007` `REQ-V2-008` `REQ-OPS-001` `REQ-OPS-002` `REQ-OPS-003`
+
+## 단계 1: 도메인 모델 확정
+
+- `TASK-V2-001`: 상태머신 enum/전이 이벤트/전이 사유 스키마 설계
+- `TASK-V2-002`: `position_state` 스냅샷 구조(현재상태, peak, stops, last_reason) 정의
+- `TASK-V2-003`: 청산 판단 입력 DTO(가격, ATR, pred_prob, liquidity_signal) 정의
+
+완료 기준:
+- 상태와 전이 사유가 로그/DB에서 재현 가능
+- `REQ-V2-001`~`003`을 코드 타입 수준에서 강제
+
+## 단계 2: 청산 엔진 구현
+
+- `TASK-V2-004`: 우선순위 기반 전이 함수 구현(`evaluate_exit_first` -> `promote_state`)
+- `TASK-V2-005`: Hard Stop/BE Lock/ATR Trailing 결합 로직 구현
+- `TASK-V2-006`: 모델 확률 신호를 보조 트리거로 결합(단독 청산 금지)
+
+완료 기준:
+- 갭 상황에서 다중 조건 동시 충족 시 최상위 상태로 단번 전이
+- `REQ-V2-004` 준수
+
+## 단계 3: 라벨링/학습 데이터 파이프라인
+
+- `TASK-V2-007`: Triple Barrier 라벨러 구현(장벽 선터치 우선)
+- `TASK-V2-008`: 피처 구간/라벨 구간 분리 검증 유틸 구현
+- `TASK-V2-009`: 라벨 생성 로그(진입시각, 터치장벽, 만기장벽) 기록
+
+완료 기준:
+- look-ahead 차단 증빙 로그 확보
+- `REQ-V2-005` 충족
+
+## 단계 4: 검증 프레임워크
+
+- `TASK-V2-010`: Walk-forward split + Purge/Embargo 분할기 구현
+- `TASK-V2-011`: 베이스라인(`B0`,`B1`,`M1`) 비교 리포트 포맷 구현
+- `TASK-V2-012`: 체결 비용/슬리피지/실패 반영 백테스트 옵션 강제
+
+완료 기준:
+- `REQ-V2-006`, `REQ-V2-007` 충족
+
+## 단계 5: Kill Switch 통합
+
+- `TASK-V2-013`: Kill Switch 순차 실행 오케스트레이터 구현 (`src/core/risk_manager.py` 수정 금지)
+- `TASK-V2-014`: 주문 차단 플래그/미체결 취소/재조회 재시도 로직 구현
+- `TASK-V2-015`: 스냅샷/알림/복구 진입 절차 구현
+
+완료 기준:
+- `REQ-V2-008` 순서 일치
+
+라우팅:
+- 코드 지시 상세: [30_code_level_work_orders.md](./30_code_level_work_orders.md)
+- 테스트 상세: [40_acceptance_and_test_plan.md](./40_acceptance_and_test_plan.md)
--- a/docs/ouroboros/20_phase_v3_execution.md
+++ b/docs/ouroboros/20_phase_v3_execution.md
@@ -0,0 +1,60 @@
+<!--
+Doc-ID: DOC-PHASE-V3-001
+Version: 1.0.0
+Status: active
+Owner: strategy
+Updated: 2026-02-26
+-->
+
+# v3 실행 지시서 (세션 확장)
+
+참조 요구사항: `REQ-V3-001` `REQ-V3-002` `REQ-V3-003` `REQ-V3-004` `REQ-V3-005` `REQ-V3-006` `REQ-V3-007` `REQ-V3-008` `REQ-OPS-001` `REQ-OPS-002` `REQ-OPS-003`
+
+## 단계 1: 세션 엔진
+
+- `TASK-V3-001`: `session_id` 분류기 구현(KR/US 확장 세션)
+- `TASK-V3-002`: 세션 전환 훅에서 리스크 파라미터 재로딩 구현
+- `TASK-V3-003`: 로그/DB 스키마에 `session_id` 필드 강제
+
+완료 기준:
+- `REQ-V3-001`, `REQ-V3-002` 충족
+
+## 단계 2: 블랙아웃/복구 제어
+
+- `TASK-V3-004`: 블랙아웃 윈도우 정책 로더 구현(설정 기반)
+- `TASK-V3-005`: 블랙아웃 중 신규 주문 차단 + 의도 큐 적재 구현
+- `TASK-V3-006`: 복구 시 동기화(잔고/미체결/체결) 후 큐 재검증 실행
+
+완료 기준:
+- `REQ-V3-003`, `REQ-V3-004` 충족
+
+## 단계 3: 주문 정책 강화
+
+- `TASK-V3-007`: 세션별 주문 타입 매트릭스 구현
+- `TASK-V3-008`: 저유동 세션 시장가 주문 하드 차단
+- `TASK-V3-009`: 재호가 간격/횟수 제한 및 주문 철회 조건 구현
+
+완료 기준:
+- `REQ-V3-005` 충족
+
+## 단계 4: 비용/체결 모델 정교화
+
+- `TASK-V3-010`: 세션별 슬리피지/비용 테이블 엔진 반영
+- `TASK-V3-011`: 불리한 체결 가정(상대 호가 방향) 체결기 구현
+- `TASK-V3-012`: 시나리오별 체결 실패/부분체결 모델 반영
+
+완료 기준:
+- `REQ-V3-006` 충족
+
+## 단계 5: 환율/오버나잇/Kill Switch 연동
+
+- `TASK-V3-013`: 전략 PnL과 FX PnL 분리 회계 구현
+- `TASK-V3-014`: USD/KRW 버퍼 규칙 위반 시 신규 진입 제한 구현
+- `TASK-V3-015`: 오버나잇 예외와 Kill Switch 우선순위 통합
+
+완료 기준:
+- `REQ-V3-007`, `REQ-V3-008` 충족
+
+라우팅:
+- 코드 지시 상세: [30_code_level_work_orders.md](./30_code_level_work_orders.md)
+- 테스트 상세: [40_acceptance_and_test_plan.md](./40_acceptance_and_test_plan.md)
--- a/docs/ouroboros/30_code_level_work_orders.md
+++ b/docs/ouroboros/30_code_level_work_orders.md
@@ -0,0 +1,59 @@
+<!--
+Doc-ID: DOC-CODE-001
+Version: 1.0.0
+Status: active
+Owner: strategy
+Updated: 2026-02-26
+-->
+
+# 코드 레벨 작업 지시서
+
+본 문서는 파일 단위 구현 지시서다. 모든 작업은 요구사항 ID와 테스트 ID를 포함해야 한다.
+
+제약:
+- `src/core/risk_manager.py`는 READ-ONLY로 간주하고 수정하지 않는다.
+- Kill Switch는 별도 모듈(예: `src/core/kill_switch.py`)로 추가하고 상위 실행 루프에서 연동한다.
+
+## 구현 단위 A: 상태기계/청산
+
+- `TASK-CODE-001` (`REQ-V2-001`,`REQ-V2-002`,`REQ-V2-003`): `src/strategy/`에 상태기계 모듈 추가
+- `TASK-CODE-002` (`REQ-V2-004`): ATR/BE/Hard Stop 결합 청산 함수 추가
+- `TASK-CODE-003` (`REQ-V2-008`): Kill Switch 오케스트레이터를 `src/core/kill_switch.py`에 추가
+- `TEST-CODE-001`: 갭 점프 시 최고상태 승격 테스트
+- `TEST-CODE-002`: EXIT 우선순위 테스트
+
+## 구현 단위 B: 라벨링/검증
+
+- `TASK-CODE-004` (`REQ-V2-005`): Triple Barrier 라벨러 모듈 추가(`src/analysis/` 또는 `src/strategy/`)
+- `TASK-CODE-005` (`REQ-V2-006`): Walk-forward + Purge/Embargo 분할 유틸 추가
+- `TASK-CODE-006` (`REQ-V2-007`): 백테스트 실행기에서 비용/슬리피지 옵션 필수화
+- `TEST-CODE-003`: 라벨 선터치 우선 테스트
+- `TEST-CODE-004`: 누수 차단 테스트
+
+## 구현 단위 C: 세션/주문 정책
+
+- `TASK-CODE-007` (`REQ-V3-001`,`REQ-V3-002`): 세션 분류/전환 훅을 `src/markets/schedule.py` 연동
+- `TASK-CODE-008` (`REQ-V3-003`,`REQ-V3-004`): 블랙아웃 큐 처리기를 `src/broker/`에 추가
+- `TASK-CODE-009` (`REQ-V3-005`): 세션별 주문 타입 검증기 추가
+- `TEST-CODE-005`: 블랙아웃 신규주문 차단 테스트
+- `TEST-CODE-006`: 저유동 세션 시장가 거부 테스트
+
+## 구현 단위 D: 체결/환율/오버나잇
+
+- `TASK-CODE-010` (`REQ-V3-006`): 불리한 체결가 모델을 백테스트 체결기로 구현
+- `TASK-CODE-011` (`REQ-V3-007`): FX PnL 분리 회계 테이블/컬럼 추가
+- `TASK-CODE-012` (`REQ-V3-008`): 오버나잇 예외와 Kill Switch 충돌 해소 로직 구현
+- `TEST-CODE-007`: 불리한 체결가 모델 테스트
+- `TEST-CODE-008`: FX 버퍼 위반 시 신규진입 제한 테스트
+
+## 구현 단위 E: 운영/문서 거버넌스
+
+- `TASK-OPS-001` (`REQ-OPS-001`): 시간 필드/로그 스키마의 타임존 표기 강제 규칙 구현
+- `TASK-OPS-002` (`REQ-OPS-002`): 정책 수치 변경 시 `01_requirements_registry.md` 선수정 CI 체크 추가
+- `TASK-OPS-003` (`REQ-OPS-003`): `TASK-*` 없는 `REQ-*` 또는 `TEST-*` 없는 `REQ-*`를 차단하는 문서 검증 게이트 유지
+
+## 커밋 규칙
+
+- 커밋 메시지에 `TASK-*` 포함
+- PR 본문에 `REQ-*`, `TEST-*` 매핑 표 포함
+- 변경 파일마다 최소 1개 테스트 연결
--- a/docs/ouroboros/40_acceptance_and_test_plan.md
+++ b/docs/ouroboros/40_acceptance_and_test_plan.md
@@ -0,0 +1,63 @@
+<!--
+Doc-ID: DOC-TEST-001
+Version: 1.0.0
+Status: active
+Owner: strategy
+Updated: 2026-02-26
+-->
+
+# 수용 기준 및 테스트 계획
+
+## 수용 기준
+
+- `TEST-ACC-000` (`REQ-V2-001`): 상태 enum은 4개(`HOLDING`,`BE_LOCK`,`ARMED`,`EXITED`)만 허용한다.
+- `TEST-ACC-001` (`REQ-V2-002`): 상태 전이는 순차 if-else가 아닌 우선순위 승격으로 동작한다.
+- `TEST-ACC-010` (`REQ-V2-003`): `EXITED` 조건은 어떤 상태보다 먼저 평가된다.
+- `TEST-ACC-011` (`REQ-V2-004`): 청산 판단은 Hard Stop/BE Lock/ATR/모델보조 4요소를 모두 포함한다.
+- `TEST-ACC-012` (`REQ-V2-005`): Triple Barrier 라벨은 first-touch 규칙으로 결정된다.
+- `TEST-ACC-013` (`REQ-V2-006`): 학습/검증 분할은 Walk-forward + Purge/Embargo를 적용한다.
+- `TEST-ACC-014` (`REQ-V2-007`): 비용/슬리피지/체결실패 옵션 비활성 시 백테스트 실행을 거부한다.
+- `TEST-ACC-002` (`REQ-V2-008`): Kill Switch 실행 순서가 고정 순서를 위반하지 않는다.
+- `TEST-ACC-015` (`REQ-V3-001`): 모든 주문/로그 레코드에 `session_id`가 저장된다.
+- `TEST-ACC-016` (`REQ-V3-002`): 세션 전환 이벤트 시 리스크 파라미터가 재로딩된다.
+- `TEST-ACC-003` (`REQ-V3-003`): 블랙아웃 중 신규 주문 API 호출이 발생하지 않는다.
+- `TEST-ACC-017` (`REQ-V3-004`): 블랙아웃 큐는 복구 후 재검증을 통과한 주문만 실행한다.
+- `TEST-ACC-004` (`REQ-V3-005`): 저유동 세션 시장가 주문은 항상 거부된다.
+- `TEST-ACC-005` (`REQ-V3-006`): 백테스트 체결가가 단순 종가 체결보다 보수적 손익을 낸다.
+- `TEST-ACC-006` (`REQ-V3-007`): 전략 손익과 환율 손익이 별도 집계된다.
+- `TEST-ACC-018` (`REQ-V3-008`): 오버나잇 예외 상태에서도 Kill Switch 우선순위가 유지된다.
+- `TEST-ACC-007` (`REQ-OPS-001`): 시간 관련 필드는 타임존(KST/UTC)이 누락되면 검증 실패한다.
+- `TEST-ACC-008` (`REQ-OPS-002`): 정책 수치 변경이 원장 미반영이면 검증 실패한다.
+- `TEST-ACC-009` (`REQ-OPS-003`): `REQ-*`가 `TASK-*`/`TEST-*` 매핑 없이 존재하면 검증 실패한다.
+
+## 테스트 계층
+
+1. 단위 테스트
+- 상태 전이, 주문타입 검증, 큐 복구 로직, 체결가 모델
+
+2. 통합 테스트
+- 세션 전환 -> 주문 정책 -> 리스크 엔진 연동
+- 블랙아웃 시작/해제 이벤트 연동
+
+3. 회귀 테스트
+- 기존 `tests/` 스위트 전량 실행
+- 신규 기능 플래그 ON/OFF 비교
+
+4. 구동/모니터링 검증 (필수)
+- 개발 완료 후 시스템을 실제 구동해 핵심 경로를 관찰
+- 필수 관찰 항목: 주문 차단 정책, Kill Switch 동작, 경보/예외 로그, 세션 전환 로그
+- Runtime Verifier 코멘트로 증적(실행 명령/요약 로그) 첨부
+
+## 실행 명령
+
+```bash
+pytest -q
+python3 scripts/validate_ouroboros_docs.py
+```
+
+## 실패 처리 규칙
+
+- 문서 검증 실패 시 구현 PR 병합 금지
+- `REQ-*` 변경 후 테스트 매핑 누락 시 병합 금지
+- 회귀 실패 시 원인 모듈 분리 후 재검증
+- 구동/모니터링 증적 누락 시 검증 승인 금지
--- a/docs/ouroboros/50_scenario_matrix_and_issue_taxonomy.md
+++ b/docs/ouroboros/50_scenario_matrix_and_issue_taxonomy.md
@@ -0,0 +1,68 @@
+<!--
+Doc-ID: DOC-PM-001
+Version: 1.0.0
+Status: active
+Owner: strategy
+Updated: 2026-02-26
+-->
+
+# 실전 시나리오 매트릭스 + 이슈 분류 체계
+
+목표: 운영에서 바로 사용할 수 있는 형태로 Happy Path / Failure Path / Ops Incident를 추적 가능한 ID 체계(`REQ-*`, `TASK-*`, `TEST-*`)에 매핑한다.
+
+## 1) 시나리오 매트릭스
+
+| Scenario ID | Type | Trigger | Expected System Behavior | Primary IDs (REQ/TASK/TEST) | Ticket Priority |
+|---|---|---|---|---|---|
+| `SCN-HAPPY-001` | Happy Path | KR 정규 세션에서 진입 신호 발생, 블랙아웃 아님 | 주문/로그에 `session_id` 저장 후 정책에 맞는 주문 전송 | `REQ-V3-001`, `TASK-V3-001`, `TASK-V3-003`, `TEST-ACC-015` | P1 |
+| `SCN-HAPPY-002` | Happy Path | 보유 포지션에서 BE/ATR/Hard Stop 조건 순차 도달 | 상태가 즉시 상위 단계로 승격, `EXITED` 우선 평가 보장 | `REQ-V2-002`, `REQ-V2-003`, `TASK-V2-004`, `TEST-ACC-001`, `TEST-ACC-010` | P0 |
+| `SCN-HAPPY-003` | Happy Path | 세션 전환(KR->US) 이벤트 발생 | 리스크 파라미터 자동 재로딩, 새 세션 정책으로 즉시 전환 | `REQ-V3-002`, `TASK-V3-002`, `TEST-ACC-016` | P0 |
+| `SCN-HAPPY-004` | Happy Path | 백테스트 실행 요청 | 비용/슬리피지/체결실패 옵션 누락 시 실행 거부, 포함 시 실행 | `REQ-V2-007`, `TASK-V2-012`, `TEST-ACC-014` | P1 |
+| `SCN-FAIL-001` | Failure Path | 블랙아웃 중 신규 주문 신호 발생 | 신규 주문 차단 + 주문 의도 큐 적재, API 직접 호출 금지 | `REQ-V3-003`, `REQ-V3-004`, `TASK-V3-005`, `TEST-ACC-003`, `TEST-ACC-017` | P0 |
+| `SCN-FAIL-002` | Failure Path | 저유동 세션에 시장가 주문 요청 | 시장가 하드 거부, 지정가 대체 또는 주문 취소 | `REQ-V3-005`, `TASK-V3-007`, `TASK-V3-008`, `TEST-ACC-004` | P0 |
+| `SCN-FAIL-003` | Failure Path | Kill Switch 트리거(손실/연결/리스크 한도) | 신규주문차단->미체결취소->재조회->리스크축소->스냅샷 순서 강제 | `REQ-V2-008`, `TASK-V2-013`, `TEST-ACC-002` | P0 |
+| `SCN-FAIL-004` | Failure Path | FX 버퍼 부족 상태에서 US 진입 신호 | 전략 PnL/FX PnL 분리 집계 유지, 신규 진입 제한 | `REQ-V3-007`, `TASK-V3-013`, `TASK-V3-014`, `TEST-ACC-006` | P1 |
+| `SCN-OPS-001` | Ops Incident | 브로커 점검/블랙아웃 종료 직후 | 잔고/미체결/체결 동기화 후 큐 재검증 통과 주문만 집행 | `REQ-V3-004`, `TASK-V3-006`, `TEST-ACC-017` | P0 |
+| `SCN-OPS-002` | Ops Incident | 정책 수치가 코드에만 반영되고 원장 미수정 | 문서 검증에서 실패 처리, PR 병합 차단 | `REQ-OPS-002`, `TASK-OPS-002`, `TEST-ACC-008` | P0 |
+| `SCN-OPS-003` | Ops Incident | 타임존 누락 로그/스케줄 데이터 유입 | KST/UTC 미표기 레코드 검증 실패 처리 | `REQ-OPS-001`, `TASK-OPS-001`, `TEST-ACC-007` | P1 |
+| `SCN-OPS-004` | Ops Incident | 신규 REQ 추가 후 TASK/TEST 누락 | 추적성 게이트 실패, 구현 PR 병합 차단 | `REQ-OPS-003`, `TASK-OPS-003`, `TEST-ACC-009` | P0 |
+| `SCN-OPS-005` | Ops Incident | 배포 후 런타임 이상 동작(주문오류/상태전이오류/정책위반) 탐지 | Runtime Verifier가 즉시 이슈 발행, Dev 수정 후 재관측으로 클로즈 판정 | `REQ-V2-008`, `REQ-V3-003`, `REQ-V3-005`, `TEST-ACC-002`, `TEST-ACC-003`, `TEST-ACC-004` | P0 |
+
+## 2) 이슈 분류 체계 (Issue Taxonomy)
+
+| Taxonomy | Definition | Typical Symptoms | Default Owner | Mapping Baseline |
+|---|---|---|---|---|
+| `EXEC-STATE` | 상태기계/청산 우선순위 위반 | EXIT 우선순위 깨짐, 상태 역행, 갭 대응 실패 | Strategy | `REQ-V2-001`~`REQ-V2-004`, `TASK-V2-004`~`TASK-V2-006`, `TEST-ACC-000`,`001`,`010`,`011` |
+| `EXEC-POLICY` | 세션/주문 정책 위반 | 블랙아웃 주문 전송, 저유동 시장가 허용 | Broker/Execution | `REQ-V3-003`~`REQ-V3-005`, `TASK-V3-004`~`TASK-V3-009`, `TEST-ACC-003`,`004`,`017` |
+| `BACKTEST-MODEL` | 백테스트 현실성/검증 무결성 위반 | 비용 옵션 off로 실행, 체결가 과낙관 | Research | `REQ-V2-006`,`REQ-V2-007`,`REQ-V3-006`, `TASK-V2-010`~`012`, `TASK-V3-010`~`012`, `TEST-ACC-013`,`014`,`005` |
+| `RISK-EMERGENCY` | Kill Switch/리스크 비상 대응 실패 | 순서 위반, 차단 누락, 복구 절차 누락 | Risk | `REQ-V2-008`,`REQ-V3-008`, `TASK-V2-013`~`015`, `TASK-V3-015`, `TEST-ACC-002`,`018` |
+| `FX-ACCOUNTING` | 환율/통화 버퍼 정책 위반 | 전략손익/환차손익 혼합 집계, 버퍼 미적용 | Risk + Data | `REQ-V3-007`, `TASK-V3-013`,`014`, `TEST-ACC-006` |
+| `OPS-GOVERNANCE` | 문서/추적성/타임존 거버넌스 위반 | 원장 미수정, TEST 누락, 타임존 미표기 | PM + QA | `REQ-OPS-001`~`003`, `TASK-OPS-001`~`003`, `TEST-ACC-007`~`009` |
+| `RUNTIME-VERIFY` | 실동작 모니터링 검증 | 배포 후 이상 현상, 간헐 오류, 테스트 미포착 회귀 | Runtime Verifier + TPM | 관련 `REQ/TASK/TEST`와 런타임 로그 증적 필수 |
+
+## 3) 티켓 생성 규칙 (Implementable)
+
+1. 모든 이슈는 `taxonomy + scenario_id`를 제목에 포함한다.  
+   예: `[EXEC-POLICY][SCN-FAIL-001] blackout 주문 차단 누락`
+2. 본문 필수 항목: 재현절차, 기대결과, 실제결과, 영향범위, 롤백/완화책.
+3. 본문에 최소 1개 `REQ-*`, 1개 `TASK-*`, 1개 `TEST-*`를 명시한다.
+4. 우선순위 기준:
+- P0: 실주문 위험, Kill Switch, 블랙아웃/시장가 정책, 추적성 게이트 실패
+- P1: 손익 왜곡 가능성(체결/FX/시간대), 운영 리스크 증가
+- P2: 보고서/관측성 품질 이슈(거래 안전성 영향 없음)
+5. Runtime Verifier가 발행한 `RUNTIME-VERIFY` 이슈는 Main Agent 확인 전 클로즈 금지.
+
+## 4) 즉시 생성 권장 티켓 (초기 백로그)
+
+- `TKT-P0-001`: `[EXEC-POLICY][SCN-FAIL-001]` 블랙아웃 차단 + 큐적재 + 복구 재검증 e2e 점검 (`REQ-V3-003`,`REQ-V3-004`)
+- `TKT-P0-002`: `[RISK-EMERGENCY][SCN-FAIL-003]` Kill Switch 순서 강제 검증 자동화 (`REQ-V2-008`)
+- `TKT-P0-003`: `[OPS-GOVERNANCE][SCN-OPS-004]` REQ/TASK/TEST 누락 시 PR 차단 게이트 상시 점검 (`REQ-OPS-003`)
+- `TKT-P1-001`: `[FX-ACCOUNTING][SCN-FAIL-004]` FX 버퍼 위반 시 진입 제한 회귀 케이스 보강 (`REQ-V3-007`)
+- `TKT-P1-002`: `[BACKTEST-MODEL][SCN-HAPPY-004]` 비용/슬리피지 미설정 백테스트 거부 UX 명확화 (`REQ-V2-007`)
+- `TKT-P0-004`: `[RUNTIME-VERIFY][SCN-OPS-005]` 배포 후 런타임 이상 탐지/재현/클로즈 판정 절차 자동화
+
+## 5) 운영 체크포인트
+
+- 스프린트 계획 시 `P0` 시나리오 100% 테스트 통과를 출발 조건으로 둔다.
+- 배포 승인 시 `SCN-FAIL-*`, `SCN-OPS-*` 관련 `TEST-ACC-*`를 우선 확인한다.
+- 정책 변경 PR은 반드시 원장(`01_requirements_registry.md`) 선수정 후 진행한다.
--- a/docs/ouroboros/50_tpm_control_protocol.md
+++ b/docs/ouroboros/50_tpm_control_protocol.md
@@ -0,0 +1,201 @@
+<!--
+Doc-ID: DOC-TPM-001
+Version: 1.0.0
+Status: active
+Owner: tpm
+Updated: 2026-02-26
+-->
+
+# TPM Control Protocol (Main <-> PM <-> TPM <-> Dev <-> Verifier <-> Runtime Verifier)
+
+목적:
+- PM 시나리오가 구현 가능한 단위로 분해되고, 개발/검증이 동일 ID 체계(`REQ-*`, `TASK-*`, `TEST-*`)로 닫히도록 강제한다.
+- 각 단계는 Entry/Exit gate를 통과해야 다음 단계로 이동 가능하다.
+- 주요 의사결정 포인트마다 Main Agent의 승인/의견 확인을 강제한다.
+
+## Team Roles
+
+- Main Agent: 최종 취합/우선순위/승인 게이트 오너
+- PM Agent: 시나리오/요구사항/티켓 관리
+- TPM Agent: PM-Dev-검증 간 구현 가능성/달성률 통제, 티켓 등록 및 구현 우선순위 지정 오너
+- Dev Agent: 구현 수행, 블로커 발생 시 재계획 요청
+- Verifier Agent: 문서/코드/테스트 산출물 검증
+- Runtime Verifier Agent: 실제 동작 모니터링, 이상 징후 이슈 발행, 수정 후 이슈 클로즈 판정
+
+Main Agent 아이디에이션 책임:
+- 진행 중 신규 구현 아이디어를 별도 문서에 누적 기록한다.
+- 기록 위치: [70_main_agent_ideation.md](./70_main_agent_ideation.md)
+- 각 항목은 `IDEA-*` 식별자, 배경, 기대효과, 리스크, 후속 티켓 후보를 포함해야 한다.
+
+## Main Decision Checkpoints (Mandatory)
+
+- DCP-01 범위 확정: Phase 0 종료 전 Main Agent 승인 필수
+- DCP-02 요구사항 확정: Phase 1 종료 전 Main Agent 승인 필수
+- DCP-03 구현 착수: Phase 2 종료 전 Main Agent 승인 필수
+- DCP-04 배포 승인: Phase 4 종료 후 Main Agent 최종 승인 필수
+
+## Phase Control Gates
+
+### Phase 0: Scenario Intake and Scope Lock
+
+Entry criteria:
+- PM 시나리오가 사용자 가치, 실패 모드, 우선순위를 포함해 제출됨
+- 영향 범위(모듈/세션/KR-US 시장)가 명시됨
+
+Exit criteria:
+- 시나리오가 `REQ-*` 후보에 1:1 또는 1:N 매핑됨
+- 모호한 표현("개선", "최적화")은 측정 가능한 조건으로 치환됨
+- 비범위 항목(out-of-scope) 명시
+
+Control checks:
+- PM/TPM 합의 완료
+- Main Agent 승인(DCP-01)
+- 산출물: 시나리오 카드, 초기 매핑 메모
+
+### Phase 1: Requirement Registry Gate
+
+Entry criteria:
+- Phase 0 산출물 승인
+- 변경 대상 요구사항 문서 식별 완료
+
+Exit criteria:
+- [01_requirements_registry.md](./01_requirements_registry.md)에 `REQ-*` 정의/수정 반영
+- 각 `REQ-*`가 최소 1개 `TASK-*`, 1개 `TEST-*`와 연결 가능 상태
+- 시간/정책 수치는 원장 단일 소스로 확정(`REQ-OPS-001`,`REQ-OPS-002`)
+
+Control checks:
+- `python3 scripts/validate_ouroboros_docs.py` 통과
+- Main Agent 승인(DCP-02)
+- 산출물: 업데이트된 요구사항 원장
+
+### Phase 2: Design and Work-Order Gate
+
+Entry criteria:
+- 요구사항 원장 갱신 완료
+- 영향 모듈 분석 완료(상태기계, 주문정책, 백테스트, 세션)
+
+Exit criteria:
+- [10_phase_v2_execution.md](./10_phase_v2_execution.md), [20_phase_v3_execution.md](./20_phase_v3_execution.md), [30_code_level_work_orders.md](./30_code_level_work_orders.md)에 작업 분해 완료
+- 각 작업은 구현 위치/제약/완료 조건을 가짐
+- 위험 작업(Kill Switch, blackout, session transition)은 별도 롤백 절차 포함
+
+Control checks:
+- TPM이 `REQ -> TASK` 누락 여부 검토
+- Main Agent 승인(DCP-03)
+- 산출물: 승인된 Work Order 세트
+
+### Phase 3: Implementation Gate
+
+Entry criteria:
+- 승인된 `TASK-*`가 브랜치 작업 단위로 분리됨
+- 변경 범위별 테스트 계획이 PR 본문에 링크됨
+
+Exit criteria:
+- 코드 변경이 `TASK-*`에 대응되어 추적 가능
+- 제약 준수(`src/core/risk_manager.py` 직접 수정 금지 등) 확인
+- 신규 로직마다 최소 1개 테스트 추가 또는 기존 테스트 확장
+
+Control checks:
+- PR 템플릿 내 `REQ-*`/`TASK-*`/`TEST-*` 매핑 확인
+- 산출물: 리뷰 가능한 PR
+
+### Phase 4: Verification and Acceptance Gate
+
+Entry criteria:
+- 구현 PR ready 상태
+- 테스트 케이스/픽스처 준비 완료
+
+Exit criteria:
+- [40_acceptance_and_test_plan.md](./40_acceptance_and_test_plan.md)의 해당 `TEST-ACC-*` 전부 통과
+- 회귀 테스트 통과(`pytest -q`)
+- 문서 검증 통과(`python3 scripts/validate_ouroboros_docs.py`)
+
+Control checks:
+- Verifier가 테스트 증적(로그/리포트/실행 커맨드) 첨부
+- Runtime Verifier가 스테이징/실운영 모니터링 계획 승인
+- 산출물: 수용 승인 레코드
+
+### Phase 5: Release and Post-Release Control
+
+Entry criteria:
+- Phase 4 승인
+- 운영 체크리스트 준비(세션 전환, 블랙아웃, Kill Switch)
+
+Exit criteria:
+- 배포 후 초기 관찰 윈도우에서 치명 경보 없음
+- 신규 시나리오/회귀 이슈는 다음 Cycle의 Phase 0 입력으로 환류
+- 요구사항/테스트 문서 버전 동기화 완료
+
+Control checks:
+- PM/TPM/Dev 3자 종료 확인
+- Runtime Verifier가 운영 모니터링 이슈 상태(신규/진행/해결)를 리포트
+- Main Agent 최종 승인(DCP-04)
+- 산출물: 릴리즈 노트 + 후속 액션 목록
+
+## Replan Protocol (Dev -> TPM)
+
+- 트리거:
+  - 구현 불가능(기술적 제약/외부 API 제약)
+  - 예상 대비 개발 리소스 과다(공수/인력/의존성 급증)
+- 절차:
+  1) Dev Agent가 `REPLAN-REQUEST` 발행(영향 REQ/TASK, 원인, 대안, 추가 공수 포함)
+  2) TPM Agent가 1차 심사(범위 축소/단계 분할/요구사항 조정안)
+  3) Verifier/PM 의견 수렴 후 Main Agent 승인으로 재계획 확정
+- 규칙:
+  - Main Agent 승인 없는 재계획은 실행 금지
+  - 재계획 반영 시 문서(`REQ/TASK/TEST`) 동시 갱신 필수
+
+TPM 티켓 운영 규칙:
+- TPM은 합의된 변경을 이슈로 등록하고 우선순위(`P0/P1/P2`)를 지정한다.
+- PR 본문에는 TPM이 지정한 우선순위와 범위가 그대로 반영되어야 한다.
+- 우선순위 변경은 TPM 제안 + Main Agent 승인으로만 가능하다.
+- PM/TPM/Dev/Reviewer/Verifier/Runtime Verifier는 주요 의사결정 시점마다 PR 코멘트를 남겨 결정 근거를 추적 가능 상태로 유지한다.
+
+브랜치 운영 규칙:
+- TPM은 각 티켓에 대해 `ticket temp branch -> program feature branch` PR 경로를 지정한다.
+- 티켓 머지 대상은 항상 program feature branch이며, `main`은 최종 통합 단계에서만 사용한다.
+
+## Runtime Verification Protocol
+
+- Runtime Verifier는 테스트 통과 이후 실제 동작(스테이징/실운영)을 모니터링한다.
+- 이상 동작/현상 발견 시 즉시 이슈 발행:
+  - 제목 규칙: `[RUNTIME-VERIFY][SCN-*] ...`
+  - 본문 필수: 재현조건, 관측 로그, 영향 범위, 임시 완화책, 관련 `REQ/TASK/TEST`
+- 이슈 클로즈 규칙:
+  - Dev 수정 완료 + Verifier 재검증 통과 + Runtime Verifier 재관측 정상
+  - 최종 클로즈 승인자는 Main Agent
+- 개발 완료 필수 절차:
+  - 시스템 실제 구동(스테이징/로컬 실운영 모드) 실행
+  - 모니터링 체크리스트(핵심 경보/주문 경로/예외 로그) 수행
+  - 결과를 티켓/PR 코멘트에 증적으로 첨부하지 않으면 완료로 간주하지 않음
+
+## Server Reflection Rule
+
+- `ticket temp branch -> program feature branch` 머지는 검증 승인 후 자동/수동 진행 가능하다.
+- `program feature branch -> main` 머지는 사용자 명시 승인 시에만 허용한다.
+- Main 병합 시 Main Agent가 승인 근거를 PR 코멘트에 기록한다.
+
+## Acceptance Matrix (PM Scenario -> Dev Tasks -> Verifier Checks)
+
+| PM Scenario | Requirement Coverage | Dev Tasks (Primary) | Verifier Checks (Must Pass) |
+|---|---|---|---|
+| 갭 급락/급등에서 청산 우선 처리 필요 | `REQ-V2-001`,`REQ-V2-002`,`REQ-V2-003` | `TASK-V2-004`,`TASK-CODE-001` | `TEST-ACC-000`,`TEST-ACC-001`,`TEST-ACC-010`,`TEST-CODE-001`,`TEST-CODE-002` |
+| 하드스탑 + BE락 + ATR + 모델보조를 한 엔진으로 통합 | `REQ-V2-004` | `TASK-V2-005`,`TASK-V2-006`,`TASK-CODE-002` | `TEST-ACC-011` |
+| 라벨 누수 없는 학습데이터 생성 | `REQ-V2-005` | `TASK-V2-007`,`TASK-CODE-004` | `TEST-ACC-012`,`TEST-CODE-003` |
+| 검증 프레임워크를 시계열 누수 방지 구조로 강제 | `REQ-V2-006` | `TASK-V2-010`,`TASK-CODE-005` | `TEST-ACC-013`,`TEST-CODE-004` |
+| 과낙관 백테스트 방지(비용/슬리피지/실패 강제) | `REQ-V2-007` | `TASK-V2-012`,`TASK-CODE-006` | `TEST-ACC-014` |
+| 장애 시 Kill Switch 실행 순서 고정 | `REQ-V2-008` | `TASK-V2-013`,`TASK-V2-014`,`TASK-V2-015`,`TASK-CODE-003` | `TEST-ACC-002`,`TEST-ACC-018` |
+| 세션 전환 단위 리스크/로그 추적 일관화 | `REQ-V3-001`,`REQ-V3-002` | `TASK-V3-001`,`TASK-V3-002`,`TASK-V3-003`,`TASK-CODE-007` | `TEST-ACC-015`,`TEST-ACC-016` |
+| 블랙아웃 중 주문 차단 + 복구 후 재검증 실행 | `REQ-V3-003`,`REQ-V3-004` | `TASK-V3-004`,`TASK-V3-005`,`TASK-V3-006`,`TASK-CODE-008` | `TEST-ACC-003`,`TEST-ACC-017`,`TEST-CODE-005` |
+| 저유동 세션 시장가 주문 금지 | `REQ-V3-005` | `TASK-V3-007`,`TASK-V3-008`,`TASK-CODE-009` | `TEST-ACC-004`,`TEST-CODE-006` |
+| 보수적 체결 모델을 백테스트 기본으로 설정 | `REQ-V3-006` | `TASK-V3-010`,`TASK-V3-011`,`TASK-V3-012`,`TASK-CODE-010` | `TEST-ACC-005`,`TEST-CODE-007` |
+| 전략손익/환율손익 분리 + 통화 버퍼 통제 | `REQ-V3-007` | `TASK-V3-013`,`TASK-V3-014`,`TASK-CODE-011` | `TEST-ACC-006`,`TEST-CODE-008` |
+| 오버나잇 규칙과 Kill Switch 충돌 방지 | `REQ-V3-008` | `TASK-V3-015`,`TASK-CODE-012` | `TEST-ACC-018` |
+| 타임존/정책변경/추적성 문서 거버넌스 | `REQ-OPS-001`,`REQ-OPS-002`,`REQ-OPS-003` | `TASK-OPS-001`,`TASK-OPS-002`,`TASK-OPS-003` | `TEST-ACC-007`,`TEST-ACC-008`,`TEST-ACC-009` |
+
+## 운영 규율 (TPM Enforcement Rules)
+
+- 어떤 PM 시나리오도 `REQ-*` 없는 구현 착수 금지.
+- 어떤 `REQ-*`도 `TASK-*`,`TEST-*` 없는 승인 금지.
+- Verifier는 "코드 리뷰 통과"만으로 승인 불가, 반드시 `TEST-ACC-*` 증적 필요.
+- 배포 승인권자는 Phase 4 체크리스트 미충족 시 릴리즈 보류 권한을 행사해야 한다.
--- a/docs/ouroboros/60_repo_enforcement_checklist.md
+++ b/docs/ouroboros/60_repo_enforcement_checklist.md
@@ -0,0 +1,103 @@
+<!--
+Doc-ID: DOC-OPS-002
+Version: 1.0.0
+Status: active
+Owner: tpm
+Updated: 2026-02-26
+-->
+
+# 저장소 강제 설정 체크리스트
+
+목표: "엄격 검증 운영"을 문서가 아니라 저장소 설정으로 강제한다.
+
+## 1) main 브랜치 보호 (필수)
+
+적용 항목:
+- direct push 금지
+- force push 금지
+- branch 삭제 금지
+- merge는 PR 경로만 허용
+
+검증:
+- `main`에 대해 직접 `git push origin main` 시 거부되는지 확인
+
+## 2) 필수 상태 체크 (필수)
+
+필수 CI 항목:
+- `validate_ouroboros_docs` (명령: `python3 scripts/validate_ouroboros_docs.py`)
+- `test` (명령: `pytest -q`)
+
+설정 기준:
+- 위 2개 체크가 `success` 아니면 머지 금지
+- 체크 스킵/중립 상태 허용 금지
+
+## 3) 필수 리뷰어 규칙 (권장 -> 필수)
+
+역할 기반 승인:
+- Verifier 1명 승인 필수
+- TPM 또는 PM 1명 승인 필수
+- Runtime Verifier 관련 변경(PR 본문에 runtime 영향 있음) 시 Runtime Verifier 승인 필수
+
+설정 기준:
+- 최소 승인 수: 2
+- 작성자 self-approval 불가
+- 새 커밋 푸시 시 기존 승인 재검토 요구
+
+## 4) 워크플로우 게이트
+
+병합 전 체크리스트:
+- 이슈 연결(`Closes #N`) 존재
+- PR 본문에 `REQ-*`, `TASK-*`, `TEST-*` 매핑 표 존재
+- `src/core/risk_manager.py` 변경 없음
+- 주요 의사결정 체크포인트(DCP-01~04) 중 해당 단계 Main Agent 확인 기록 존재
+- 주요 의사결정(리뷰 지적/수정 합의/검증 승인)에 대한 에이전트 PR 코멘트 존재
+- 티켓 PR의 base가 `main`이 아닌 program feature branch인지 확인
+
+자동 점검:
+- 문서 검증 스크립트 통과
+- 테스트 통과
+- 개발 완료 시 시스템 구동/모니터링 증적 코멘트 존재
+
+## 5) 감사 추적
+
+필수 보존 증적:
+- CI 실행 로그 링크
+- 검증 실패/복구 기록
+- 머지 승인 코멘트(Verifier/TPM)
+
+분기별 점검:
+- 브랜치 보호 규칙 drift 여부
+- 필수 CI 이름 변경/누락 여부
+
+## 6) 적용 순서 (운영 절차)
+
+1. 브랜치 보호 활성화
+2. 필수 CI 체크 연결
+3. 리뷰어 규칙 적용
+4. 샘플 PR로 거부 시나리오 테스트
+5. 정상 머지 시나리오 테스트
+
+## 7) 실패 시 조치
+
+- 브랜치 보호 미적용 발견 시: 즉시 릴리즈 중지
+- 필수 CI 우회 발견 시: 관리자 권한 점검 및 감사 이슈 발행
+- 리뷰 규칙 무효화 발견 시: 규칙 복구 후 재머지 정책 시행
+- Runtime 이상 이슈 미해결 상태에서 클로즈 시도 발견 시: 즉시 이슈 재오픈 + 릴리즈 중지
+
+## 8) 재계획(Dev Replan) 운영 규칙
+
+- Dev가 `REPLAN-REQUEST` 발행 시 TPM 심사 없이는 스코프/일정 변경 금지
+- `REPLAN-REQUEST`는 Main Agent 승인 전 \"제안\" 상태로 유지
+- 승인된 재계획은 `REQ/TASK/TEST` 문서를 동시 갱신해야 유효
+
+## 9) 서버 반영 규칙
+
+- 티켓 PR(`feature/issue-* -> feature/{stream}`)은 검증 승인 후 머지 가능하다.
+- 최종 통합 PR(`feature/{stream} -> main`)은 사용자 명시 승인 전 `tea pulls merge` 실행 금지.
+- Main 병합 시 승인 근거 코멘트 필수.
+
+## 10) 최종 main 병합 조건
+
+- 모든 티켓이 program feature branch로 병합 완료
+- Runtime Verifier의 구동/모니터링 검증 완료
+- 사용자 최종 승인 코멘트 확인 후에만 `feature -> main` PR 머지 허용
--- a/docs/ouroboros/70_main_agent_ideation.md
+++ b/docs/ouroboros/70_main_agent_ideation.md
@@ -0,0 +1,48 @@
+<!--
+Doc-ID: DOC-IDEA-001
+Version: 1.0.0
+Status: active
+Owner: main-agent
+Updated: 2026-02-26
+-->
+
+# 메인 에이전트 아이디에이션 백로그
+
+목적:
+- 구현 진행 중 떠오른 신규 구현 아이디어를 계획 반영 전 임시 저장한다.
+- 본 문서는 사용자 검토 후 다음 계획 포함 여부를 결정하기 위한 검토 큐다.
+
+운영 규칙:
+- 각 아이디어는 `IDEA-*` 식별자를 사용한다.
+- 필수 필드: 배경, 기대효과, 리스크, 후속 티켓 후보.
+- 상태는 `proposed`, `under-review`, `accepted`, `rejected` 중 하나를 사용한다.
+
+## 아이디어 목록
+
+- `IDEA-001` (status: proposed)
+  - 제목: Kill-Switch 전역 상태를 프로세스 단일 전역에서 시장/세션 단위 상태로 분리
+  - 배경: 현재는 전역 block 플래그 기반이라 시장별 분리 제어가 제한될 수 있음
+  - 기대효과: KR/US 병행 운용 시 한 시장 장애가 다른 시장 주문을 불필요하게 막는 리스크 축소
+  - 리스크: 상태 동기화 복잡도 증가, 테스트 케이스 확장 필요
+  - 후속 티켓 후보: `TKT-P1-KS-SCOPE-SPLIT`
+
+- `IDEA-002` (status: proposed)
+  - 제목: Exit Engine 입력 계약(ATR/peak/model_prob/liquidity) 표준 DTO를 데이터 파이프라인에 고정
+  - 배경: 현재 ATR/모델확률 일부가 fallback 기반이라 운영 일관성이 약함
+  - 기대효과: 백테스트-실거래 입력 동형성 강화, 회귀 분석 용이
+  - 리스크: 기존 스캐너/시나리오 엔진 연동 작업량 증가
+  - 후속 티켓 후보: `TKT-P1-EXIT-CONTRACT`
+
+- `IDEA-003` (status: proposed)
+  - 제목: Runtime Verifier 자동 이슈 생성기(로그 패턴 -> 이슈 템플릿 자동화)
+  - 배경: 런타임 이상 리포트가 수동 작성 중심이라 누락 가능성 존재
+  - 기대효과: 이상 탐지 후 이슈 등록 리드타임 단축, 증적 표준화
+  - 리스크: 오탐 이슈 폭증 가능성, 필터링 룰 필요
+  - 후속 티켓 후보: `TKT-P1-RUNTIME-AUTO-ISSUE`
+
+- `IDEA-004` (status: proposed)
+  - 제목: PR 코멘트 워크플로우 자동 점검(리뷰어->개발논의->검증승인 누락 차단)
+  - 배경: 현재 절차는 강력하지만 수행 확인이 수동
+  - 기대효과: 절차 누락 방지, 감사 추적 자동화
+  - 리스크: CLI/API 연동 유지보수 비용
+  - 후속 티켓 후보: `TKT-P0-WORKFLOW-GUARD`
--- a/docs/ouroboros/README.md
+++ b/docs/ouroboros/README.md
@@ -0,0 +1,40 @@
+<!--
+Doc-ID: DOC-ROOT-001
+Version: 1.0.0
+Status: active
+Owner: strategy
+Updated: 2026-02-26
+-->
+
+# The Ouroboros 실행 문서 허브
+
+이 폴더는 `ouroboros_plan_v2.txt`, `ouroboros_plan_v3.txt`를 구현 가능한 작업 지시서 수준으로 분해한 문서 허브다.
+
+## 읽기 순서 (Routing)
+
+1. 검증 체계부터 확정: [00_validation_system.md](./00_validation_system.md)
+2. 단일 진실원장(요구사항): [01_requirements_registry.md](./01_requirements_registry.md)
+3. v2 실행 지시서: [10_phase_v2_execution.md](./10_phase_v2_execution.md)
+4. v3 실행 지시서: [20_phase_v3_execution.md](./20_phase_v3_execution.md)
+5. 코드 레벨 작업 지시: [30_code_level_work_orders.md](./30_code_level_work_orders.md)
+6. 수용 기준/테스트 계획: [40_acceptance_and_test_plan.md](./40_acceptance_and_test_plan.md)
+7. PM 시나리오/이슈 분류: [50_scenario_matrix_and_issue_taxonomy.md](./50_scenario_matrix_and_issue_taxonomy.md)
+8. TPM 제어 프로토콜/수용 매트릭스: [50_tpm_control_protocol.md](./50_tpm_control_protocol.md)
+9. 저장소 강제 설정 체크리스트: [60_repo_enforcement_checklist.md](./60_repo_enforcement_checklist.md)
+10. 메인 에이전트 아이디에이션 백로그: [70_main_agent_ideation.md](./70_main_agent_ideation.md)
+
+## 운영 규칙
+
+- 계획 변경은 반드시 `01_requirements_registry.md`의 ID 정의부터 수정한다.
+- 구현 문서는 원장 ID만 참조하고 자체 숫자/정책을 새로 만들지 않는다.
+- 문서 품질 룰셋(`RULE-DOC-001` `RULE-DOC-002` `RULE-DOC-003` `RULE-DOC-004` `RULE-DOC-005` `RULE-DOC-006`)은 [00_validation_system.md](./00_validation_system.md)를 기준으로 적용한다.
+- 문서 병합 전 아래 검증을 통과해야 한다.
+
+```bash
+python3 scripts/validate_ouroboros_docs.py
+```
+
+## 원본 계획 문서
+
+- [v2](/home/agentson/repos/The-Ouroboros/ouroboros_plan_v2.txt)
+- [v3](/home/agentson/repos/The-Ouroboros/ouroboros_plan_v3.txt)
--- a/docs/workflow.md
+++ b/docs/workflow.md
@@ -5,14 +5,76 @@
 **CRITICAL: All code changes MUST follow this workflow. Direct pushes to `main` are ABSOLUTELY PROHIBITED.**

 1. **Create Gitea Issue First** — All features, bug fixes, and policy changes require a Gitea issue before any code is written
-2. **Create Feature Branch** — Branch from `main` using format `feature/issue-{N}-{short-description}`
-   - After creating the branch, run `git pull origin main` and rebase to ensure the branch is up to date
-3. **Implement Changes** — Write code, tests, and documentation on the feature branch
-4. **Create Pull Request** — Submit PR to `main` branch referencing the issue number
-5. **Review & Merge** — After approval, merge via PR (squash or merge commit)
+2. **Create Program Feature Branch** — Branch from `main` for the whole development stream
+   - Format: `feature/{epic-or-stream-name}`
+3. **Create Ticket Temp Branch** — Branch from the program feature branch per ticket
+   - Format: `feature/issue-{N}-{short-description}`
+4. **Implement Per Ticket** — Write code, tests, and documentation on the ticket temp branch
+5. **Create Pull Request to Program Feature Branch** — `feature/issue-N-* -> feature/{stream}`
+6. **Review/Verify and Merge into Program Feature Branch** — user approval not required
+7. **Final Integration PR to main** — Only after all ticket stages complete and explicit user approval

 **Never commit directly to `main`.** This policy applies to all changes, no exceptions.

+## Branch Strategy (Mandatory)
+
+- Team operation default branch is the **program feature branch**, not `main`.
+- Ticket-level development happens only on **ticket temp branches** cut from the program feature branch.
+- Ticket PR merges into program feature branch are allowed after verifier approval.
+- Until final user sign-off, `main` merge is prohibited.
+- 각 에이전트는 주요 의사결정(리뷰 지적, 수정 방향, 검증 승인)마다 PR 코멘트를 적극 작성해 의사결정 과정을 남긴다.
+
+## Gitea CLI Formatting Troubleshooting
+
+Issue/PR 본문 작성 시 줄바꿈(`\n`)이 문자열 그대로 저장되는 문제가 반복될 수 있다. 원인은 `-d "...\n..."` 형태에서 쉘/CLI가 이스케이프를 실제 개행으로 해석하지 않기 때문이다.
+
+권장 패턴:
+
+```bash
+ISSUE_BODY=$(cat <<'EOF'
+## Summary
+- 변경 내용 1
+- 변경 내용 2
+
+## Why
+- 배경 1
+- 배경 2
+
+## Scope
+- 포함 범위
+- 제외 범위
+EOF
+)
+
+tea issues create \
+  -t "docs: 제목" \
+  -d "$ISSUE_BODY"
+```
+
+PR도 동일하게 적용:
+
+```bash
+PR_BODY=$(cat <<'EOF'
+## Summary
+- ...
+
+## Validation
+- python3 scripts/validate_ouroboros_docs.py
+EOF
+)
+
+tea pr create \
+  --base main \
+  --head feature/issue-N-something \
+  --title "docs: ... (#N)" \
+  --description "$PR_BODY"
+```
+
+금지 패턴:
+
+- `-d "line1\nline2"` (웹 UI에 `\n` 문자 그대로 노출될 수 있음)
+- 본문에 백틱/괄호를 인라인로 넣고 적절한 quoting 없이 즉시 실행
+
 ## Agent Workflow

 **Modern AI development leverages specialized agents for concurrent, efficient task execution.**
--- a/ouroboros_plan_v2.txt
+++ b/ouroboros_plan_v2.txt
@@ -0,0 +1,165 @@
+[The Ouroboros] 운영/전략 계획서 v2
+작성일: 2026-02-26
+상태: 코드 구현 전 설계안(전략/검증 중심)
+
+==================================================
+0) 목적
+==================================================
+고정 익절(+3%) 중심 로직에서 벗어나, 다음을 만족하는 실전형 청산 체계로 전환한다.
+- 수익 구간 보호 (손익 역전 방지)
+- 변동성 적응형 청산
+- 예측 모델의 확률 신호를 보조적으로 결합
+- 과적합 방지를 최우선으로 한 검증 프레임워크
+
+==================================================
+1) 핵심 설계 원칙
+==================================================
+1. 예측 성능과 전략 성능을 분리 평가
+- 예측 성능: PR-AUC, Brier, Calibration
+- 전략 성능: Net PnL, Sharpe, MDD, Profit Factor, Turnover
+
+2. 시계열 검증 규율 강제
+- Walk-forward 분할
+- Purge/Embargo 적용
+- Random split 금지
+
+3. 실거래 리얼리즘 우선
+- 거래비용/슬리피지/체결실패 반영 없는 백테스트 결과는 채택 금지
+
+==================================================
+2) 매도 상태기계 (State Machine)
+==================================================
+상태:
+- HOLDING
+- BE_LOCK
+- ARMED
+- EXITED
+
+정의:
+- HOLDING: 일반 보유 상태
+- BE_LOCK: 일정 수익권 진입 시 손절선을 본전(또는 비용 반영 본전)으로 상향
+- ARMED: 추세 추적(피크 추적) 기반 청산 준비 상태
+- EXITED: 청산 완료
+
+전이 규칙(개념):
+- HOLDING -> BE_LOCK: unrealized_pnl_pct >= be_arm_pct
+- BE_LOCK -> ARMED: unrealized_pnl_pct >= arm_pct
+- ARMED -> EXITED: 아래 조건 중 하나 충족
+  1) hard stop 도달
+  2) trailing stop 도달 (peak 대비 하락)
+  3) 모델 하락확률 + 유동성 약화 조건 충족
+
+상태 전이 구현 규칙(필수):
+- 매 틱/바 평가 시 "현재 조건이 허용하는 최상위 상태"로 즉시 승격
+- 순차 if-else로 인한 전이 누락 금지 (예: 갭으로 BE_LOCK/ARMED 동시 충족)
+- EXITED 조건은 모든 상태보다 우선 평가
+- 상태 전이 로그에 이전/이후 상태, 전이 사유, 기준 가격/수익률 기록
+
+==================================================
+3) 청산 로직 구성 (4중 안전장치)
+==================================================
+A. Hard Stop
+- 계좌/포지션 보호용 절대 하한
+- 항상 활성화
+
+B. Dynamic Stop (Break-even Lock)
+- BE_LOCK 진입 시 손절선을 본전 이상으로 상향
+- "수익 포지션이 손실로 반전"되는 구조적 리스크 차단
+
+C. ATR 기반 Trailing Stop
+- 고정 trail_pct 대신 변동성 적응형 사용
+- 예시: ExitPrice = PeakPrice - (k * ATR)
+
+D. 모델 확률 신호
+- 하락전환 확률(pred_prob)이 임계값 이상일 때 청산 가중
+- 단독 트리거가 아닌 trailing/리스크 룰 보조 트리거로 사용
+
+==================================================
+4) 라벨링 체계 (Triple Barrier)
+==================================================
+목표:
+고정 H-window 라벨 편향을 줄이고, 금융 시계열의 경로 의존성을 반영한다.
+
+라벨 정의:
+- Upper barrier (익절)
+- Lower barrier (손절)
+- Time barrier (만기)
+
+규칙:
+- 세 장벽 중 "먼저 터치한 장벽"으로 라벨 확정
+- 라벨은 entry 시점 이후 데이터만 사용해 생성
+- 피처 생성 구간과 라벨 구간을 엄격 분리해 look-ahead bias 방지
+
+==================================================
+5) 검증 프레임워크
+==================================================
+5.1 분할 방식
+- Fold 단위 Walk-forward
+- Purge/Embargo로 인접 샘플 누수 차단
+
+5.2 비교군(Baseline) 구조
+- B0: 기존 고정 손절/익절
+- B1: 모델 없는 trailing only
+- M1: trailing + 모델 확률 결합
+
+5.3 채택 기준
+- M1이 B0/B1 대비 OOS(Out-of-sample)에서 일관된 우위
+- 단일 구간 성과가 아닌 fold 분포 기준으로 판단
+
+==================================================
+6) 실행 아키텍처 원칙
+==================================================
+1. 저지연 실행 경로
+- 실시간 청산 판단은 경량 엔진(룰/GBDT) 담당
+- LLM은 레짐 판단/비중 조절/상위 의사결정 보조
+
+2. 체결 현실 반영
+- 세션 유동성에 따른 슬리피지 페널티 차등 적용
+- 미체결/재호가/재접수 시나리오를 백테스트에 반영
+
+==================================================
+7) 운영 리스크 관리
+==================================================
+승격 단계:
+- Offline backtest -> Paper shadow -> Small-capital live
+
+중단(Kill Switch):
+- rolling Sharpe 악화
+- MDD 한도 초과
+- 체결 실패율/슬리피지 급등
+
+Kill Switch 실행 순서(원자적):
+1) 모든 신규 주문 차단 플래그 ON
+2) 모든 미체결 주문 취소 요청
+3) 취소 결과 재조회(실패 건 재시도)
+4) 포지션 리스크 재계산 후 강제 축소/청산 판단
+5) 상태/로그 스냅샷 저장 및 운영 경보 발송
+
+원칙:
+- 모델이 실패해도 hard stop 기반 보수 모드로 즉시 디그레이드 가능해야 함
+
+==================================================
+8) 고정 파라미터(초기안)
+==================================================
+(15분봉 단기 스윙 기준 제안)
+- KR: be_arm_pct=1.2, arm_pct=2.8, atr_period=14, atr_multiplier_k=2.2,
+      time_barrier_bars=26, p_thresh=0.62
+- US: be_arm_pct=1.0, arm_pct=2.4, atr_period=14, atr_multiplier_k=2.0,
+      time_barrier_bars=32, p_thresh=0.60
+
+민감도 범위(초기 탐색):
+- be_arm_pct: KR 0.9~1.8 / US 0.7~1.5
+- arm_pct: KR 2.2~3.8 / US 1.8~3.2
+- atr_multiplier_k: KR 1.8~2.8 / US 1.6~2.4
+- time_barrier_bars: KR 20~36 / US 24~48
+- p_thresh: 0.55~0.70
+
+==================================================
+9) 구현 전 체크리스트
+==================================================
+- 파라미터 튜닝 시 nested leakage 방지
+- 수수료/세금/슬리피지 전부 반영 여부 확인
+- 세션/타임존/DST 처리 일관성 확인
+- 모델 버전/설정 해시/실험 로그 재현성 확보
+
+끝.
--- a/ouroboros_plan_v3.txt
+++ b/ouroboros_plan_v3.txt
@@ -0,0 +1,185 @@
+[The Ouroboros] 운영확장 v3
+작성일: 2026-02-26
+상태: v2 확장판 / 야간·프리마켓 포함 글로벌 세션 운영 설계안
+
+==================================================
+0) 목적
+==================================================
+"24시간 무중단 자산 증식" 비전을 위해 거래 세션 범위를 KR 정규장 중심에서
+NXT/미국 확장 세션까지 확대한다. 핵심은 다음 3가지다.
+- 세션 인지형 의사결정
+- 세션별 리스크/비용 차등 적용
+- 시간장벽의 현실적 재정의
+
+==================================================
+1) 세션 모델 (Session-aware Engine)
+==================================================
+KR 세션:
+- NXT_PRE   : 08:00 ~ 08:50 (KST)
+- KRX_REG   : 09:00 ~ 15:30 (KST)
+- NXT_AFTER : 15:30 ~ 20:00 (KST)
+
+US 세션(KST 관점 운영):
+- US_DAY    : 10:00 ~ 18:00
+- US_PRE    : 18:00 ~ 23:30
+- US_REG    : 23:30 ~ 06:00
+- US_AFTER  : 06:00 ~ 07:00
+
+원칙:
+- 모든 피처/신호/주문/로그에 session_id를 명시적으로 포함
+- 세션 전환 시 상태 업데이트 및 리스크 파라미터 재로딩
+
+==================================================
+2) 캘린더/휴장/DST 고정 소스
+==================================================
+KR:
+- 기본: pykrx 또는 FinanceDataReader (KRX 기준)
+- 예외: 연휴/임시 휴장/NXT 특이 운영은 KIS 공지 기반 보완
+
+US:
+- pandas_market_calendars (NYSE 기준)
+- 2026 DST:
+  - 시작: 2026-03-08
+  - 종료: 2026-11-01
+
+정합성 규칙:
+- 스케줄 충돌 시 "거래소 캘린더 > 로컬 추정" 우선
+- 시장 상태(open/close/half-day)는 주문 엔진 진입 전 최종 검증
+
+KIS 점검시간 회피 정책(필수):
+- 브로커 점검/장애 블랙아웃 윈도우는 운영 설정으로 별도 관리
+- 블랙아웃 구간에는 신규 주문 전송 금지, 취소/정정도 정책적으로 제한
+- 신호는 유지하되 주문 의도는 Queue에 적재, 복구 후 유효성 재검증 뒤 실행
+- 복구 직후에는 잔고/미체결/체결내역을 우선 동기화한 뒤 주문 엔진 재가동
+
+==================================================
+3) 시간장벽 재정의
+==================================================
+v2의 time_barrier_bars 고정값을 v3에서 다음으로 확장:
+- max_holding_minutes (시장별 기본 만기)
+- 봉 개수는 세션 길이/간격으로 동적 계산
+
+기본값:
+- KR: max_holding_minutes = 2160 (약 3거래일, NXT 포함 관점)
+- US: max_holding_minutes = 4320 (약 72시간)
+
+운영 주의:
+- 고정 "일중 청산"보다 "포지션 유지 시간" 기준 만기 적용
+- 세션 종료 강제청산 규칙과 충돌 시 우선순위 명시 필요
+
+==================================================
+4) 세션별 비용/슬리피지 모델 (보수적)
+==================================================
+KRX_REG:
+- 슬리피지: 2~3틱 (약 0.05%)
+- 수수료+세금: 0.20% ~ 0.23%
+
+NXT_AFTER:
+- 슬리피지: 5~8틱 (약 0.15%)
+- 수수료+세금: 0.20% ~ 0.23%
+
+US_REG:
+- 슬리피지: 2~3틱 (약 0.03%)
+- 수수료+기타 비용: 0.07% ~ 0.15%
+
+US_PRE / US_DAY:
+- 슬리피지: 10틱+ (약 0.3% ~ 0.5%)
+- 수수료+기타 비용: 0.07% ~ 0.15%
+
+원칙:
+- 백테스트 체결가는 세션별 보수 가정 적용
+- 저유동 세션은 자동 보수 모드(p_thresh 상향, atr_k 상향) 권장
+- 백테스트 체결가 기본은 "불리한 방향 체결" 가정 (단순 close 체결 금지)
+
+세션별 주문 유형 강제(필수):
+- KRX_REG / US_REG: 지정가 우선, 시장가 제한적 허용
+- NXT_AFTER / US_PRE / US_DAY / US_AFTER: 시장가 금지
+- 저유동 세션은 최우선 지정가 또는 IOC/FOK(가격 보호 한도 포함)만 허용
+- 주문 실패 시 재호가 간격/횟수 상한을 두고, 초과 시 주문 철회
+
+==================================================
+5) 포지션/잔고 통합 규칙 (KIS 특성 반영)
+==================================================
+문제:
+- KRX/NXT 잔고 조회가 venue 단위로 분리되거나 반영 지연 가능
+
+규칙:
+- 종목 식별은 동일 종목코드(또는 ISIN) 기준 통합 포지션으로 관리
+- 다만 주문 가능 수량은 venue별 API 응답을 최종 기준으로 사용
+- 매도 가능 수량 검증은 주문 직전 재조회로 확정
+
+==================================================
+6) 마감 강제청산/오버나잇 예외 규칙
+==================================================
+기본 원칙:
+- 모든 포지션에 대해 세션 종료 10분 전 REDUCE_ALL 검토
+
+오버나잇 예외 허용 (모두 충족 시):
+1) ARMED 상태 (예: +2.8% 이상)
+2) 모델 하락확률 < 0.30
+3) 포트폴리오 현금 비중 >= 50%
+
+갭 리스크 통제:
+- 다음 개장 시 hard stop를 시가 기준으로 재산정
+- 조건 위반 시 즉시 청산 우선
+
+Kill Switch 연동:
+- MDD/실패율 임계치 초과 시 "미체결 전량 취소 -> 신규 주문 차단 -> 리스크 축소" 순서 강제
+
+==================================================
+7) 데이터 저장/용량 정책
+==================================================
+핵심 테이블(계획):
+- feature_snapshots
+- position_states
+- model_predictions
+
+저장 규칙:
+- feature_hash 기반 중복 제거
+- 가격 변화가 작아도 session_id 변경 시 강제 스냅샷
+- 월 단위 DB 로테이션 권장 (예: trading_YYYY_MM.db)
+
+==================================================
+8) 환율/정산 리스크 정책 (US 필수)
+==================================================
+원칙:
+- USD 노출은 전략 손익과 별도로 환율 손익을 분리 추적
+- 원화 주문 서비스 사용 시 가환율 체결/익일 정산 리스크를 예수금 규칙에 반영
+
+운영 규칙:
+- 환전 시점 정책(사전 환전/수시 환전)을 고정하고 로그에 기록
+- 최소 USD 버퍼와 KRW 버퍼를 각각 설정해 주문 가능금 부족 리스크 완화
+- 환율 급변 구간에는 포지션 한도 축소 또는 신규 진입 제한
+
+==================================================
+9) v3 실험 매트릭스 (우선 3선)
+==================================================
+EXP-KR-01:
+- 시장: KR
+- 포커스: NXT 야간 특화
+- 제안: time barrier 확장(예: 48 bars 상당), p_thresh 상향(0.65)
+
+EXP-US-01:
+- 시장: US
+- 포커스: 21h 준연속 운용
+- 제안: time barrier 확장(예: 80 bars 상당), atr_k 상향(2.5)
+
+EXP-HYB-01:
+- 시장: Global
+- 포커스: KR 낮 + US 밤 연계
+- 제안: 레짐 기반 자산배분 자동조절
+
+==================================================
+10) 코드 착수 전 최종 확정 체크
+==================================================
+1) 세션별 공식 캘린더 소스/우선순위
+2) 세션별 슬리피지/비용 테이블 수치
+3) 시장별 max_holding_minutes
+4) 마감 강제청산 예외 조건 임계값
+5) 블랙아웃(점검/장애) 시간대와 주문 큐 처리 규칙
+6) 세션별 허용 주문 유형(시장가 허용 범위 포함)
+7) 환전/정산 정책 및 통화 버퍼 임계값
+
+모든 항목 확정 후 Step 1 구현(코드)로 이동.
+
+끝.
--- a/scripts/validate_ouroboros_docs.py
+++ b/scripts/validate_ouroboros_docs.py
@@ -0,0 +1,140 @@
+#!/usr/bin/env python3
+"""Validate Ouroboros planning docs for metadata, links, and ID consistency."""
+
+from __future__ import annotations
+
+import re
+import sys
+from pathlib import Path
+
+DOC_DIR = Path("docs/ouroboros")
+META_PATTERN = re.compile(
+    r"<!--\n"
+    r"Doc-ID: (?P<doc_id>[^\n]+)\n"
+    r"Version: (?P<version>[^\n]+)\n"
+    r"Status: (?P<status>[^\n]+)\n"
+    r"Owner: (?P<owner>[^\n]+)\n"
+    r"Updated: (?P<updated>\d{4}-\d{2}-\d{2})\n"
+    r"-->",
+    re.MULTILINE,
+)
+ID_PATTERN = re.compile(r"\b(?:REQ|RULE|TASK|TEST|DOC)-[A-Z0-9-]+-\d{3}\b")
+DEF_PATTERN = re.compile(r"^-\s+`(?P<id>(?:REQ|RULE|TASK|TEST|DOC)-[A-Z0-9-]+-\d{3})`", re.MULTILINE)
+LINK_PATTERN = re.compile(r"\[[^\]]+\]\((?P<link>[^)]+)\)")
+LINE_DEF_PATTERN = re.compile(r"^-\s+`(?P<id>(?:REQ|RULE|TASK|TEST|DOC)-[A-Z0-9-]+-\d{3})`.*$", re.MULTILINE)
+
+
+def iter_docs() -> list[Path]:
+    return sorted([p for p in DOC_DIR.glob("*.md") if p.is_file()])
+
+
+def validate_metadata(path: Path, text: str, errors: list[str], doc_ids: dict[str, Path]) -> None:
+    match = META_PATTERN.search(text)
+    if not match:
+        errors.append(f"{path}: missing or malformed metadata block")
+        return
+    doc_id = match.group("doc_id").strip()
+    if doc_id in doc_ids:
+        errors.append(f"{path}: duplicate Doc-ID {doc_id} (already in {doc_ids[doc_id]})")
+    else:
+        doc_ids[doc_id] = path
+
+
+def validate_links(path: Path, text: str, errors: list[str]) -> None:
+    for m in LINK_PATTERN.finditer(text):
+        link = m.group("link").strip()
+        if not link or link.startswith("http") or link.startswith("#"):
+            continue
+        if link.startswith("/"):
+            target = Path(link)
+        else:
+            target = (path.parent / link).resolve()
+        if not target.exists():
+            errors.append(f"{path}: broken link -> {link}")
+
+
+def collect_ids(path: Path, text: str, defs: dict[str, Path], refs: dict[str, set[Path]]) -> None:
+    for m in DEF_PATTERN.finditer(text):
+        defs[m.group("id")] = path
+    for m in ID_PATTERN.finditer(text):
+        idv = m.group(0)
+        refs.setdefault(idv, set()).add(path)
+
+
+def collect_req_traceability(text: str, req_to_task: dict[str, set[str]], req_to_test: dict[str, set[str]]) -> None:
+    for m in LINE_DEF_PATTERN.finditer(text):
+        line = m.group(0)
+        item_id = m.group("id")
+        req_ids = [rid for rid in ID_PATTERN.findall(line) if rid.startswith("REQ-")]
+        if item_id.startswith("TASK-"):
+            for req_id in req_ids:
+                req_to_task.setdefault(req_id, set()).add(item_id)
+        if item_id.startswith("TEST-"):
+            for req_id in req_ids:
+                req_to_test.setdefault(req_id, set()).add(item_id)
+
+
+def main() -> int:
+    if not DOC_DIR.exists():
+        print(f"ERROR: missing directory {DOC_DIR}")
+        return 1
+
+    docs = iter_docs()
+    if not docs:
+        print(f"ERROR: no markdown docs found in {DOC_DIR}")
+        return 1
+
+    errors: list[str] = []
+    doc_ids: dict[str, Path] = {}
+    defs: dict[str, Path] = {}
+    refs: dict[str, set[Path]] = {}
+    req_to_task: dict[str, set[str]] = {}
+    req_to_test: dict[str, set[str]] = {}
+
+    for path in docs:
+        text = path.read_text(encoding="utf-8")
+        validate_metadata(path, text, errors, doc_ids)
+        validate_links(path, text, errors)
+        collect_ids(path, text, defs, refs)
+        collect_req_traceability(text, req_to_task, req_to_test)
+
+    for idv, where_used in sorted(refs.items()):
+        if idv.startswith("DOC-"):
+            continue
+        if idv not in defs:
+            files = ", ".join(str(p) for p in sorted(where_used))
+            errors.append(f"undefined ID {idv}, used in: {files}")
+
+    for idv in sorted(defs):
+        if not idv.startswith("REQ-"):
+            continue
+        if idv not in req_to_task:
+            errors.append(f"REQ without TASK mapping: {idv}")
+        if idv not in req_to_test:
+            errors.append(f"REQ without TEST mapping: {idv}")
+
+    warnings: list[str] = []
+    for idv, where_def in sorted(defs.items()):
+        if len(refs.get(idv, set())) <= 1 and (idv.startswith("REQ-") or idv.startswith("RULE-")):
+            warnings.append(f"orphan ID {idv} defined in {where_def} (not referenced elsewhere)")
+
+    if errors:
+        print("[FAIL] Ouroboros docs validation failed")
+        for err in errors:
+            print(f"- {err}")
+        return 1
+
+    print(f"[OK] validated {len(docs)} docs in {DOC_DIR}")
+    print(f"[OK] unique Doc-ID: {len(doc_ids)}")
+    print(f"[OK] definitions: {len(defs)}, references: {len(refs)}")
+    print(f"[OK] req->task mappings: {len(req_to_task)}")
+    print(f"[OK] req->test mappings: {len(req_to_test)}")
+    if warnings:
+        print(f"[WARN] orphan IDs: {len(warnings)}")
+        for w in warnings:
+            print(f"- {w}")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())
--- a/src/analysis/backtest_cost_guard.py
+++ b/src/analysis/backtest_cost_guard.py
@@ -0,0 +1,52 @@
+"""Backtest cost/slippage/failure validation guard."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+import math
+
+
+@dataclass(frozen=True)
+class BacktestCostModel:
+    commission_bps: float | None = None
+    slippage_bps_by_session: dict[str, float] | None = None
+    failure_rate_by_session: dict[str, float] | None = None
+    unfavorable_fill_required: bool = True
+
+
+def validate_backtest_cost_model(
+    *,
+    model: BacktestCostModel,
+    required_sessions: list[str],
+) -> None:
+    """Raise ValueError when required cost assumptions are missing/invalid."""
+    if (
+        model.commission_bps is None
+        or not math.isfinite(model.commission_bps)
+        or model.commission_bps < 0
+    ):
+        raise ValueError("commission_bps must be provided and >= 0")
+    if not model.unfavorable_fill_required:
+        raise ValueError("unfavorable_fill_required must be True")
+
+    slippage = model.slippage_bps_by_session or {}
+    failure = model.failure_rate_by_session or {}
+
+    missing_slippage = [s for s in required_sessions if s not in slippage]
+    if missing_slippage:
+        raise ValueError(
+            f"missing slippage_bps_by_session for sessions: {', '.join(missing_slippage)}"
+        )
+
+    missing_failure = [s for s in required_sessions if s not in failure]
+    if missing_failure:
+        raise ValueError(
+            f"missing failure_rate_by_session for sessions: {', '.join(missing_failure)}"
+        )
+
+    for sess, bps in slippage.items():
+        if not math.isfinite(bps) or bps < 0:
+            raise ValueError(f"slippage bps must be >= 0 for session={sess}")
+    for sess, rate in failure.items():
+        if not math.isfinite(rate) or rate < 0 or rate > 1:
+            raise ValueError(f"failure rate must be within [0,1] for session={sess}")
--- a/src/analysis/backtest_execution_model.py
+++ b/src/analysis/backtest_execution_model.py
@@ -0,0 +1,103 @@
+"""Conservative backtest execution model."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+import math
+from random import Random
+from typing import Literal
+
+
+OrderSide = Literal["BUY", "SELL"]
+
+
+@dataclass(frozen=True)
+class ExecutionRequest:
+    side: OrderSide
+    session_id: str
+    qty: int
+    reference_price: float
+
+
+@dataclass(frozen=True)
+class ExecutionAssumptions:
+    slippage_bps_by_session: dict[str, float]
+    failure_rate_by_session: dict[str, float]
+    partial_fill_rate_by_session: dict[str, float]
+    partial_fill_min_ratio: float = 0.3
+    partial_fill_max_ratio: float = 0.8
+    seed: int = 0
+
+
+@dataclass(frozen=True)
+class ExecutionResult:
+    status: Literal["FILLED", "PARTIAL", "REJECTED"]
+    filled_qty: int
+    avg_price: float
+    slippage_bps: float
+    reason: str
+
+
+class BacktestExecutionModel:
+    """Execution simulator with conservative unfavorable fill assumptions."""
+
+    def __init__(self, assumptions: ExecutionAssumptions) -> None:
+        self.assumptions = assumptions
+        self._rng = Random(assumptions.seed)
+        if assumptions.partial_fill_min_ratio <= 0 or assumptions.partial_fill_max_ratio > 1:
+            raise ValueError("partial fill ratios must be within (0,1]")
+        if assumptions.partial_fill_min_ratio > assumptions.partial_fill_max_ratio:
+            raise ValueError("partial_fill_min_ratio must be <= partial_fill_max_ratio")
+        for sess, bps in assumptions.slippage_bps_by_session.items():
+            if not math.isfinite(bps) or bps < 0:
+                raise ValueError(f"slippage_bps must be finite and >= 0 for session={sess}")
+        for sess, rate in assumptions.failure_rate_by_session.items():
+            if not math.isfinite(rate) or rate < 0 or rate > 1:
+                raise ValueError(f"failure_rate must be in [0,1] for session={sess}")
+        for sess, rate in assumptions.partial_fill_rate_by_session.items():
+            if not math.isfinite(rate) or rate < 0 or rate > 1:
+                raise ValueError(f"partial_fill_rate must be in [0,1] for session={sess}")
+
+    def simulate(self, request: ExecutionRequest) -> ExecutionResult:
+        if request.qty <= 0:
+            raise ValueError("qty must be positive")
+        if request.reference_price <= 0:
+            raise ValueError("reference_price must be positive")
+
+        slippage_bps = self.assumptions.slippage_bps_by_session.get(request.session_id, 0.0)
+        failure_rate = self.assumptions.failure_rate_by_session.get(request.session_id, 0.0)
+        partial_rate = self.assumptions.partial_fill_rate_by_session.get(request.session_id, 0.0)
+
+        if self._rng.random() < failure_rate:
+            return ExecutionResult(
+                status="REJECTED",
+                filled_qty=0,
+                avg_price=0.0,
+                slippage_bps=slippage_bps,
+                reason="execution_failure",
+            )
+
+        slip_mult = 1.0 + (slippage_bps / 10000.0 if request.side == "BUY" else -slippage_bps / 10000.0)
+        exec_price = request.reference_price * slip_mult
+
+        if self._rng.random() < partial_rate:
+            ratio = self._rng.uniform(
+                self.assumptions.partial_fill_min_ratio,
+                self.assumptions.partial_fill_max_ratio,
+            )
+            filled = max(1, min(request.qty - 1, int(request.qty * ratio)))
+            return ExecutionResult(
+                status="PARTIAL",
+                filled_qty=filled,
+                avg_price=exec_price,
+                slippage_bps=slippage_bps,
+                reason="partial_fill",
+            )
+
+        return ExecutionResult(
+            status="FILLED",
+            filled_qty=request.qty,
+            avg_price=exec_price,
+            slippage_bps=slippage_bps,
+            reason="filled",
+        )
--- a/src/analysis/triple_barrier.py
+++ b/src/analysis/triple_barrier.py
@@ -0,0 +1,111 @@
+"""Triple barrier labeler utilities.
+
+Implements first-touch labeling with upper/lower/time barriers.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Literal, Sequence
+
+
+TieBreakMode = Literal["stop_first", "take_first"]
+
+
+@dataclass(frozen=True)
+class TripleBarrierSpec:
+    take_profit_pct: float
+    stop_loss_pct: float
+    max_holding_bars: int
+    tie_break: TieBreakMode = "stop_first"
+
+
+@dataclass(frozen=True)
+class TripleBarrierLabel:
+    label: int  # +1 take-profit first, -1 stop-loss first, 0 timeout
+    touched: Literal["take_profit", "stop_loss", "time"]
+    touch_bar: int
+    entry_price: float
+    upper_barrier: float
+    lower_barrier: float
+
+
+def label_with_triple_barrier(
+    *,
+    highs: Sequence[float],
+    lows: Sequence[float],
+    closes: Sequence[float],
+    entry_index: int,
+    side: int,
+    spec: TripleBarrierSpec,
+) -> TripleBarrierLabel:
+    """Label one entry using triple-barrier first-touch rule.
+
+    Args:
+        highs/lows/closes: OHLC components with identical length.
+        entry_index: Entry bar index in the sequences.
+        side: +1 for long, -1 for short.
+        spec: Barrier specification.
+    """
+    if side not in {1, -1}:
+        raise ValueError("side must be +1 or -1")
+    if len(highs) != len(lows) or len(highs) != len(closes):
+        raise ValueError("highs, lows, closes lengths must match")
+    if entry_index < 0 or entry_index >= len(closes):
+        raise IndexError("entry_index out of range")
+    if spec.max_holding_bars <= 0:
+        raise ValueError("max_holding_bars must be positive")
+
+    entry_price = float(closes[entry_index])
+    if entry_price <= 0:
+        raise ValueError("entry price must be positive")
+
+    if side == 1:
+        upper = entry_price * (1.0 + spec.take_profit_pct)
+        lower = entry_price * (1.0 - spec.stop_loss_pct)
+    else:
+        # For short side, favorable move is down.
+        upper = entry_price * (1.0 + spec.stop_loss_pct)
+        lower = entry_price * (1.0 - spec.take_profit_pct)
+
+    last_index = min(len(closes) - 1, entry_index + spec.max_holding_bars)
+    for idx in range(entry_index + 1, last_index + 1):
+        h = float(highs[idx])
+        l = float(lows[idx])
+
+        up_touch = h >= upper
+        down_touch = l <= lower
+        if not up_touch and not down_touch:
+            continue
+
+        if up_touch and down_touch:
+            if spec.tie_break == "stop_first":
+                touched = "stop_loss"
+                label = -1
+            else:
+                touched = "take_profit"
+                label = 1
+        elif up_touch:
+            touched = "take_profit" if side == 1 else "stop_loss"
+            label = 1 if side == 1 else -1
+        else:
+            touched = "stop_loss" if side == 1 else "take_profit"
+            label = -1 if side == 1 else 1
+
+        return TripleBarrierLabel(
+            label=label,
+            touched=touched,
+            touch_bar=idx,
+            entry_price=entry_price,
+            upper_barrier=upper,
+            lower_barrier=lower,
+        )
+
+    return TripleBarrierLabel(
+        label=0,
+        touched="time",
+        touch_bar=last_index,
+        entry_price=entry_price,
+        upper_barrier=upper,
+        lower_barrier=lower,
+    )
--- a/src/analysis/walk_forward_split.py
+++ b/src/analysis/walk_forward_split.py
@@ -0,0 +1,74 @@
+"""Walk-forward splitter with purge/embargo controls."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+
+@dataclass(frozen=True)
+class WalkForwardFold:
+    train_indices: list[int]
+    test_indices: list[int]
+
+    @property
+    def train_size(self) -> int:
+        return len(self.train_indices)
+
+    @property
+    def test_size(self) -> int:
+        return len(self.test_indices)
+
+
+def generate_walk_forward_splits(
+    *,
+    n_samples: int,
+    train_size: int,
+    test_size: int,
+    step_size: int | None = None,
+    purge_size: int = 0,
+    embargo_size: int = 0,
+    min_train_size: int = 1,
+) -> list[WalkForwardFold]:
+    """Generate chronological folds with purge/embargo leakage controls."""
+    if n_samples <= 0:
+        raise ValueError("n_samples must be positive")
+    if train_size <= 0 or test_size <= 0:
+        raise ValueError("train_size and test_size must be positive")
+    if purge_size < 0 or embargo_size < 0:
+        raise ValueError("purge_size and embargo_size must be >= 0")
+    if min_train_size <= 0:
+        raise ValueError("min_train_size must be positive")
+
+    step = step_size if step_size is not None else test_size
+    if step <= 0:
+        raise ValueError("step_size must be positive")
+
+    folds: list[WalkForwardFold] = []
+    prev_test_end: int | None = None
+    test_start = train_size + purge_size
+
+    while test_start + test_size <= n_samples:
+        test_end = test_start + test_size - 1
+        train_end = test_start - purge_size - 1
+        if train_end < 0:
+            break
+
+        train_start = max(0, train_end - train_size + 1)
+        train_indices = list(range(train_start, train_end + 1))
+
+        if prev_test_end is not None and embargo_size > 0:
+            emb_from = prev_test_end + 1
+            emb_to = prev_test_end + embargo_size
+            train_indices = [i for i in train_indices if i < emb_from or i > emb_to]
+
+        if len(train_indices) >= min_train_size:
+            folds.append(
+                WalkForwardFold(
+                    train_indices=train_indices,
+                    test_indices=list(range(test_start, test_end + 1)),
+                )
+            )
+            prev_test_end = test_end
+        test_start += step
+
+    return folds
--- a/src/broker/overseas.py
+++ b/src/broker/overseas.py
@@ -222,6 +222,59 @@ class OverseasBroker:
                f"Network error fetching overseas balance: {exc}"
            ) from exc

+    async def get_overseas_buying_power(
+        self,
+        exchange_code: str,
+        stock_code: str,
+        price: float,
+    ) -> dict[str, Any]:
+        """
+        Fetch overseas buying power for a specific stock and price.
+
+        Args:
+            exchange_code: Exchange code (e.g., "NASD", "NYSE")
+            stock_code: Stock ticker symbol
+            price: Current stock price (used for quantity calculation)
+
+        Returns:
+            API response; key field: output.ord_psbl_frcr_amt (주문가능외화금액)
+
+        Raises:
+            ConnectionError: On network or API errors
+        """
+        await self._broker._rate_limiter.acquire()
+        session = self._broker._get_session()
+
+        # TR_ID: 실전 TTTS3007R, 모의 VTTS3007R
+        # Source: 한국투자증권 오픈API 전체문서 (20260221) — '해외주식 매수가능금액조회' 시트
+        ps_tr_id = (
+            "TTTS3007R" if self._broker._settings.MODE == "live" else "VTTS3007R"
+        )
+        headers = await self._broker._auth_headers(ps_tr_id)
+        params = {
+            "CANO": self._broker._account_no,
+            "ACNT_PRDT_CD": self._broker._product_cd,
+            "OVRS_EXCG_CD": exchange_code,
+            "OVRS_ORD_UNPR": f"{price:.2f}",
+            "ITEM_CD": stock_code,
+        }
+        url = (
+            f"{self._broker._base_url}/uapi/overseas-stock/v1/trading/inquire-psamount"
+        )
+
+        try:
+            async with session.get(url, headers=headers, params=params) as resp:
+                if resp.status != 200:
+                    text = await resp.text()
+                    raise ConnectionError(
+                        f"get_overseas_buying_power failed ({resp.status}): {text}"
+                    )
+                return await resp.json()
+        except (TimeoutError, aiohttp.ClientError) as exc:
+            raise ConnectionError(
+                f"Network error fetching overseas buying power: {exc}"
+            ) from exc
+
    async def send_overseas_order(
        self,
        exchange_code: str,
--- a/src/config.py
+++ b/src/config.py
@@ -59,11 +59,15 @@ class Settings(BaseSettings):
    # KIS VTS overseas balance API returns errors for most accounts.
    # This value is used as a fallback when the balance API returns 0 in paper mode.
    PAPER_OVERSEAS_CASH: float = Field(default=50000.0, ge=0.0)
+    USD_BUFFER_MIN: float = Field(default=1000.0, ge=0.0)

    # Trading frequency mode (daily = batch API calls, realtime = per-stock calls)
    TRADE_MODE: str = Field(default="daily", pattern="^(daily|realtime)$")
    DAILY_SESSIONS: int = Field(default=4, ge=1, le=10)
    SESSION_INTERVAL_HOURS: int = Field(default=6, ge=1, le=24)
+    ORDER_BLACKOUT_ENABLED: bool = True
+    ORDER_BLACKOUT_WINDOWS_KST: str = "23:30-00:10"
+    ORDER_BLACKOUT_QUEUE_MAX: int = Field(default=500, ge=10, le=5000)

    # Pre-Market Planner
    PRE_MARKET_MINUTES: int = Field(default=30, ge=10, le=120)
--- a/src/core/blackout_manager.py
+++ b/src/core/blackout_manager.py
@@ -0,0 +1,105 @@
+"""Blackout policy and queued order-intent manager."""
+
+from __future__ import annotations
+
+from collections import deque
+from dataclasses import dataclass
+from datetime import UTC, datetime, time
+from zoneinfo import ZoneInfo
+
+
+@dataclass(frozen=True)
+class BlackoutWindow:
+    start: time
+    end: time
+
+    def contains(self, kst_time: time) -> bool:
+        if self.start <= self.end:
+            return self.start <= kst_time < self.end
+        return kst_time >= self.start or kst_time < self.end
+
+
+@dataclass
+class QueuedOrderIntent:
+    market_code: str
+    exchange_code: str
+    stock_code: str
+    order_type: str
+    quantity: int
+    price: float
+    source: str
+    queued_at: datetime
+    attempts: int = 0
+
+
+def parse_blackout_windows_kst(raw: str) -> list[BlackoutWindow]:
+    """Parse comma-separated KST windows like '23:30-00:10,11:20-11:30'."""
+    windows: list[BlackoutWindow] = []
+    for token in raw.split(","):
+        span = token.strip()
+        if not span or "-" not in span:
+            continue
+        start_raw, end_raw = [part.strip() for part in span.split("-", 1)]
+        try:
+            start_h, start_m = [int(v) for v in start_raw.split(":", 1)]
+            end_h, end_m = [int(v) for v in end_raw.split(":", 1)]
+        except (ValueError, TypeError):
+            continue
+        if not (0 <= start_h <= 23 and 0 <= end_h <= 23):
+            continue
+        if not (0 <= start_m <= 59 and 0 <= end_m <= 59):
+            continue
+        windows.append(BlackoutWindow(start=time(start_h, start_m), end=time(end_h, end_m)))
+    return windows
+
+
+class BlackoutOrderManager:
+    """Tracks blackout mode and queues order intents until recovery."""
+
+    def __init__(
+        self,
+        *,
+        enabled: bool,
+        windows: list[BlackoutWindow],
+        max_queue_size: int = 500,
+    ) -> None:
+        self.enabled = enabled
+        self._windows = windows
+        self._queue: deque[QueuedOrderIntent] = deque()
+        self._was_blackout = False
+        self._max_queue_size = max_queue_size
+
+    @property
+    def pending_count(self) -> int:
+        return len(self._queue)
+
+    def in_blackout(self, now: datetime | None = None) -> bool:
+        if not self.enabled or not self._windows:
+            return False
+        now = now or datetime.now(UTC)
+        kst_now = now.astimezone(ZoneInfo("Asia/Seoul")).timetz().replace(tzinfo=None)
+        return any(window.contains(kst_now) for window in self._windows)
+
+    def enqueue(self, intent: QueuedOrderIntent) -> bool:
+        if len(self._queue) >= self._max_queue_size:
+            return False
+        self._queue.append(intent)
+        return True
+
+    def pop_recovery_batch(self, now: datetime | None = None) -> list[QueuedOrderIntent]:
+        in_blackout_now = self.in_blackout(now)
+        batch: list[QueuedOrderIntent] = []
+        if not in_blackout_now and self._queue:
+            while self._queue:
+                batch.append(self._queue.popleft())
+        self._was_blackout = in_blackout_now
+        return batch
+
+    def requeue(self, intent: QueuedOrderIntent) -> None:
+        if len(self._queue) < self._max_queue_size:
+            self._queue.append(intent)
+
+    def clear(self) -> int:
+        count = len(self._queue)
+        self._queue.clear()
+        return count
--- a/src/core/kill_switch.py
+++ b/src/core/kill_switch.py
@@ -0,0 +1,71 @@
+"""Kill switch orchestration for emergency risk actions.
+
+Order is fixed:
+1) block new orders
+2) cancel pending orders
+3) refresh order state
+4) reduce risk
+5) snapshot and notify
+"""
+
+from __future__ import annotations
+
+import inspect
+from dataclasses import dataclass, field
+from typing import Any, Awaitable, Callable
+
+StepCallable = Callable[[], Any | Awaitable[Any]]
+
+
+@dataclass
+class KillSwitchReport:
+    reason: str
+    steps: list[str] = field(default_factory=list)
+    errors: list[str] = field(default_factory=list)
+
+
+class KillSwitchOrchestrator:
+    def __init__(self) -> None:
+        self.new_orders_blocked = False
+
+    async def _run_step(
+        self,
+        report: KillSwitchReport,
+        name: str,
+        fn: StepCallable | None,
+    ) -> None:
+        report.steps.append(name)
+        if fn is None:
+            return
+        try:
+            result = fn()
+            if inspect.isawaitable(result):
+                await result
+        except Exception as exc:  # pragma: no cover - intentionally resilient
+            report.errors.append(f"{name}: {exc}")
+
+    async def trigger(
+        self,
+        *,
+        reason: str,
+        cancel_pending_orders: StepCallable | None = None,
+        refresh_order_state: StepCallable | None = None,
+        reduce_risk: StepCallable | None = None,
+        snapshot_state: StepCallable | None = None,
+        notify: StepCallable | None = None,
+    ) -> KillSwitchReport:
+        report = KillSwitchReport(reason=reason)
+
+        self.new_orders_blocked = True
+        report.steps.append("block_new_orders")
+
+        await self._run_step(report, "cancel_pending_orders", cancel_pending_orders)
+        await self._run_step(report, "refresh_order_state", refresh_order_state)
+        await self._run_step(report, "reduce_risk", reduce_risk)
+        await self._run_step(report, "snapshot_state", snapshot_state)
+        await self._run_step(report, "notify", notify)
+
+        return report
+
+    def clear_block(self) -> None:
+        self.new_orders_blocked = False
--- a/src/core/order_policy.py
+++ b/src/core/order_policy.py
@@ -0,0 +1,93 @@
+"""Session-aware order policy guards.
+
+Default policy:
+- Low-liquidity sessions must reject market orders (price <= 0).
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from datetime import UTC, datetime, time
+from zoneinfo import ZoneInfo
+
+from src.markets.schedule import MarketInfo
+
+_LOW_LIQUIDITY_SESSIONS = {"NXT_AFTER", "US_PRE", "US_DAY", "US_AFTER"}
+
+
+class OrderPolicyRejected(Exception):
+    """Raised when an order violates session policy."""
+
+    def __init__(self, message: str, *, session_id: str, market_code: str) -> None:
+        super().__init__(message)
+        self.session_id = session_id
+        self.market_code = market_code
+
+
+@dataclass(frozen=True)
+class SessionInfo:
+    session_id: str
+    is_low_liquidity: bool
+
+
+def classify_session_id(market: MarketInfo, now: datetime | None = None) -> str:
+    """Classify current session by KST schedule used in v3 docs."""
+    now = now or datetime.now(UTC)
+    # v3 session tables are explicitly defined in KST perspective.
+    kst_time = now.astimezone(ZoneInfo("Asia/Seoul")).timetz().replace(tzinfo=None)
+
+    if market.code == "KR":
+        if time(8, 0) <= kst_time < time(8, 50):
+            return "NXT_PRE"
+        if time(9, 0) <= kst_time < time(15, 30):
+            return "KRX_REG"
+        if time(15, 30) <= kst_time < time(20, 0):
+            return "NXT_AFTER"
+        return "KR_OFF"
+
+    if market.code.startswith("US"):
+        if time(10, 0) <= kst_time < time(18, 0):
+            return "US_DAY"
+        if time(18, 0) <= kst_time < time(23, 30):
+            return "US_PRE"
+        if time(23, 30) <= kst_time or kst_time < time(6, 0):
+            return "US_REG"
+        if time(6, 0) <= kst_time < time(7, 0):
+            return "US_AFTER"
+        return "US_OFF"
+
+    return "GENERIC_REG"
+
+
+def get_session_info(market: MarketInfo, now: datetime | None = None) -> SessionInfo:
+    session_id = classify_session_id(market, now)
+    return SessionInfo(session_id=session_id, is_low_liquidity=session_id in _LOW_LIQUIDITY_SESSIONS)
+
+
+def validate_order_policy(
+    *,
+    market: MarketInfo,
+    order_type: str,
+    price: float,
+    now: datetime | None = None,
+) -> SessionInfo:
+    """Validate order against session policy and return resolved session info."""
+    info = get_session_info(market, now)
+
+    is_market_order = price <= 0
+    if info.is_low_liquidity and is_market_order:
+        raise OrderPolicyRejected(
+            f"Market order is forbidden in low-liquidity session ({info.session_id})",
+            session_id=info.session_id,
+            market_code=market.code,
+        )
+
+    # Guard against accidental unsupported actions.
+    if order_type not in {"BUY", "SELL"}:
+        raise OrderPolicyRejected(
+            f"Unsupported order_type={order_type}",
+            session_id=info.session_id,
+            market_code=market.code,
+        )
+
+    return info
--- a/src/db.py
+++ b/src/db.py
@@ -31,8 +31,11 @@ def init_db(db_path: str) -> sqlite3.Connection:
            quantity INTEGER,
            price REAL,
            pnl REAL DEFAULT 0.0,
+            strategy_pnl REAL DEFAULT 0.0,
+            fx_pnl REAL DEFAULT 0.0,
            market TEXT DEFAULT 'KR',
            exchange_code TEXT DEFAULT 'KRX',
+            selection_context TEXT,
            decision_id TEXT,
            mode TEXT DEFAULT 'paper'
        )
@@ -53,6 +56,20 @@ def init_db(db_path: str) -> sqlite3.Connection:
        conn.execute("ALTER TABLE trades ADD COLUMN decision_id TEXT")
    if "mode" not in columns:
        conn.execute("ALTER TABLE trades ADD COLUMN mode TEXT DEFAULT 'paper'")
+    if "strategy_pnl" not in columns:
+        conn.execute("ALTER TABLE trades ADD COLUMN strategy_pnl REAL DEFAULT 0.0")
+    if "fx_pnl" not in columns:
+        conn.execute("ALTER TABLE trades ADD COLUMN fx_pnl REAL DEFAULT 0.0")
+    # Backfill legacy rows where only pnl existed before split accounting columns.
+    conn.execute(
+        """
+        UPDATE trades
+        SET strategy_pnl = pnl, fx_pnl = 0.0
+        WHERE pnl != 0.0
+          AND strategy_pnl = 0.0
+          AND fx_pnl = 0.0
+        """
+    )

    # Context tree tables for multi-layered memory management
    conn.execute(
@@ -171,6 +188,8 @@ def log_trade(
    quantity: int = 0,
    price: float = 0.0,
    pnl: float = 0.0,
+    strategy_pnl: float | None = None,
+    fx_pnl: float | None = None,
    market: str = "KR",
    exchange_code: str = "KRX",
    selection_context: dict[str, any] | None = None,
@@ -187,7 +206,9 @@ def log_trade(
        rationale: AI decision rationale
        quantity: Number of shares
        price: Trade price
-        pnl: Profit/loss
+        pnl: Total profit/loss (backward compatibility)
+        strategy_pnl: Strategy PnL component
+        fx_pnl: FX PnL component
        market: Market code
        exchange_code: Exchange code
        selection_context: Scanner selection data (RSI, volume_ratio, signal, score)
@@ -196,15 +217,24 @@ def log_trade(
    """
    # Serialize selection context to JSON
    context_json = json.dumps(selection_context) if selection_context else None
+    if strategy_pnl is None and fx_pnl is None:
+        strategy_pnl = pnl
+        fx_pnl = 0.0
+    elif strategy_pnl is None:
+        strategy_pnl = pnl - float(fx_pnl or 0.0) if pnl != 0.0 else 0.0
+    elif fx_pnl is None:
+        fx_pnl = pnl - float(strategy_pnl) if pnl != 0.0 else 0.0
+    if pnl == 0.0 and (strategy_pnl or fx_pnl):
+        pnl = float(strategy_pnl) + float(fx_pnl)

    conn.execute(
        """
        INSERT INTO trades (
            timestamp, stock_code, action, confidence, rationale,
-            quantity, price, pnl, market, exchange_code, selection_context, decision_id,
-            mode
+            quantity, price, pnl, strategy_pnl, fx_pnl,
+            market, exchange_code, selection_context, decision_id, mode
        )
-        VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+        VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
        """,
        (
            datetime.now(UTC).isoformat(),
@@ -215,6 +245,8 @@ def log_trade(
            quantity,
            price,
            pnl,
+            strategy_pnl,
+            fx_pnl,
            market,
            exchange_code,
            context_json,
@@ -258,6 +290,7 @@ def get_open_position(
        FROM trades
        WHERE stock_code = ?
          AND market = ?
+          AND action IN ('BUY', 'SELL')
        ORDER BY timestamp DESC
        LIMIT 1
        """,
--- a/src/main.py
+++ b/src/main.py
@@ -27,6 +27,13 @@ from src.context.layer import ContextLayer
 from src.context.scheduler import ContextScheduler
 from src.context.store import ContextStore
 from src.core.criticality import CriticalityAssessor
+from src.core.blackout_manager import (
+    BlackoutOrderManager,
+    QueuedOrderIntent,
+    parse_blackout_windows_kst,
+)
+from src.core.kill_switch import KillSwitchOrchestrator
+from src.core.order_policy import OrderPolicyRejected, validate_order_policy
 from src.core.priority_queue import PriorityTaskQueue
 from src.core.risk_manager import CircuitBreakerTripped, FatFingerRejected, RiskManager
 from src.db import (
@@ -43,11 +50,19 @@ from src.logging_config import setup_logging
 from src.markets.schedule import MARKETS, MarketInfo, get_next_market_open, get_open_markets
 from src.notifications.telegram_client import NotificationFilter, TelegramClient, TelegramCommandHandler
 from src.strategy.models import DayPlaybook, MarketOutlook
+from src.strategy.exit_rules import ExitRuleConfig, ExitRuleInput, evaluate_exit
 from src.strategy.playbook_store import PlaybookStore
 from src.strategy.pre_market_planner import PreMarketPlanner
+from src.strategy.position_state_machine import PositionState
 from src.strategy.scenario_engine import ScenarioEngine

 logger = logging.getLogger(__name__)
+KILL_SWITCH = KillSwitchOrchestrator()
+BLACKOUT_ORDER_MANAGER = BlackoutOrderManager(
+    enabled=False,
+    windows=[],
+    max_queue_size=500,
+)


 def safe_float(value: str | float | None, default: float = 0.0) -> float:
@@ -414,6 +429,26 @@ def _determine_order_quantity(
    return quantity


+def _should_block_overseas_buy_for_fx_buffer(
+    *,
+    market: MarketInfo,
+    action: str,
+    total_cash: float,
+    order_amount: float,
+    settings: Settings | None,
+) -> tuple[bool, float, float]:
+    if (
+        market.is_domestic
+        or not market.code.startswith("US")
+        or action != "BUY"
+        or settings is None
+    ):
+        return False, total_cash - order_amount, 0.0
+    remaining = total_cash - order_amount
+    required = settings.USD_BUFFER_MIN
+    return remaining < required, remaining, required
+
+
 async def build_overseas_symbol_universe(
    db_conn: Any,
    overseas_broker: OverseasBroker,
@@ -456,6 +491,352 @@ async def build_overseas_symbol_universe(
    return ordered_unique


+def _build_queued_order_intent(
+    *,
+    market: MarketInfo,
+    stock_code: str,
+    order_type: str,
+    quantity: int,
+    price: float,
+    source: str,
+) -> QueuedOrderIntent:
+    return QueuedOrderIntent(
+        market_code=market.code,
+        exchange_code=market.exchange_code,
+        stock_code=stock_code,
+        order_type=order_type,
+        quantity=quantity,
+        price=price,
+        source=source,
+        queued_at=datetime.now(UTC),
+    )
+
+
+def _maybe_queue_order_intent(
+    *,
+    market: MarketInfo,
+    stock_code: str,
+    order_type: str,
+    quantity: int,
+    price: float,
+    source: str,
+) -> bool:
+    if not BLACKOUT_ORDER_MANAGER.in_blackout():
+        return False
+
+    queued = BLACKOUT_ORDER_MANAGER.enqueue(
+        _build_queued_order_intent(
+            market=market,
+            stock_code=stock_code,
+            order_type=order_type,
+            quantity=quantity,
+            price=price,
+            source=source,
+        )
+    )
+    if queued:
+        logger.warning(
+            "Blackout active: queued order intent %s %s (%s) qty=%d price=%.4f source=%s pending=%d",
+            order_type,
+            stock_code,
+            market.code,
+            quantity,
+            price,
+            source,
+            BLACKOUT_ORDER_MANAGER.pending_count,
+        )
+    else:
+        logger.error(
+            "Blackout queue full: dropped order intent %s %s (%s) qty=%d source=%s",
+            order_type,
+            stock_code,
+            market.code,
+            quantity,
+            source,
+        )
+    return True
+
+
+async def process_blackout_recovery_orders(
+    *,
+    broker: KISBroker,
+    overseas_broker: OverseasBroker,
+    db_conn: Any,
+) -> None:
+    intents = BLACKOUT_ORDER_MANAGER.pop_recovery_batch()
+    if not intents:
+        return
+
+    logger.info(
+        "Blackout recovery started: processing %d queued intents",
+        len(intents),
+    )
+    for intent in intents:
+        market = MARKETS.get(intent.market_code)
+        if market is None:
+            continue
+
+        open_position = get_open_position(db_conn, intent.stock_code, market.code)
+        if intent.order_type == "BUY" and open_position is not None:
+            logger.info(
+                "Drop stale queued BUY %s (%s): position already open",
+                intent.stock_code,
+                market.code,
+            )
+            continue
+        if intent.order_type == "SELL" and open_position is None:
+            logger.info(
+                "Drop stale queued SELL %s (%s): no open position",
+                intent.stock_code,
+                market.code,
+            )
+            continue
+
+        try:
+            validate_order_policy(
+                market=market,
+                order_type=intent.order_type,
+                price=float(intent.price),
+            )
+            if market.is_domestic:
+                result = await broker.send_order(
+                    stock_code=intent.stock_code,
+                    order_type=intent.order_type,
+                    quantity=intent.quantity,
+                    price=intent.price,
+                )
+            else:
+                result = await overseas_broker.send_overseas_order(
+                    exchange_code=market.exchange_code,
+                    stock_code=intent.stock_code,
+                    order_type=intent.order_type,
+                    quantity=intent.quantity,
+                    price=intent.price,
+                )
+
+            accepted = result.get("rt_cd", "0") == "0"
+            if accepted:
+                logger.info(
+                    "Recovered queued order executed: %s %s (%s) qty=%d price=%.4f source=%s",
+                    intent.order_type,
+                    intent.stock_code,
+                    market.code,
+                    intent.quantity,
+                    intent.price,
+                    intent.source,
+                )
+                continue
+            logger.warning(
+                "Recovered queued order rejected: %s %s (%s) qty=%d msg=%s",
+                intent.order_type,
+                intent.stock_code,
+                market.code,
+                intent.quantity,
+                result.get("msg1"),
+            )
+        except Exception as exc:
+            if isinstance(exc, OrderPolicyRejected):
+                logger.info(
+                    "Drop queued intent by policy: %s %s (%s): %s",
+                    intent.order_type,
+                    intent.stock_code,
+                    market.code,
+                    exc,
+                )
+                continue
+            logger.warning(
+                "Recovered queued order failed: %s %s (%s): %s",
+                intent.order_type,
+                intent.stock_code,
+                market.code,
+                exc,
+            )
+            if intent.attempts < 2:
+                intent.attempts += 1
+                BLACKOUT_ORDER_MANAGER.requeue(intent)
+
+
+def _resolve_kill_switch_markets(
+    *,
+    settings: Settings | None,
+    current_market: MarketInfo | None,
+) -> list[MarketInfo]:
+    if settings is not None:
+        markets: list[MarketInfo] = []
+        seen: set[str] = set()
+        for market_code in settings.enabled_market_list:
+            market = MARKETS.get(market_code)
+            if market is None or market.code in seen:
+                continue
+            markets.append(market)
+            seen.add(market.code)
+        if markets:
+            return markets
+    if current_market is not None:
+        return [current_market]
+    return []
+
+
+async def _cancel_pending_orders_for_kill_switch(
+    *,
+    broker: KISBroker,
+    overseas_broker: OverseasBroker,
+    markets: list[MarketInfo],
+) -> None:
+    failures: list[str] = []
+    domestic = [m for m in markets if m.is_domestic]
+    overseas = [m for m in markets if not m.is_domestic]
+
+    if domestic:
+        try:
+            orders = await broker.get_domestic_pending_orders()
+        except Exception as exc:
+            logger.warning("KillSwitch: failed to fetch domestic pending orders: %s", exc)
+            orders = []
+        for order in orders:
+            stock_code = str(order.get("pdno", ""))
+            try:
+                orgn_odno = order.get("orgn_odno", "")
+                krx_fwdg_ord_orgno = order.get("ord_gno_brno", "")
+                psbl_qty = int(order.get("psbl_qty", "0") or "0")
+                if not stock_code or not orgn_odno or psbl_qty <= 0:
+                    continue
+                cancel_result = await broker.cancel_domestic_order(
+                    stock_code=stock_code,
+                    orgn_odno=orgn_odno,
+                    krx_fwdg_ord_orgno=krx_fwdg_ord_orgno,
+                    qty=psbl_qty,
+                )
+                if cancel_result.get("rt_cd") != "0":
+                    failures.append(
+                        "domestic cancel failed for"
+                        f" {stock_code}: rt_cd={cancel_result.get('rt_cd')}"
+                        f" msg={cancel_result.get('msg1')}"
+                    )
+            except Exception as exc:
+                logger.warning("KillSwitch: domestic cancel failed: %s", exc)
+                failures.append(f"domestic cancel exception for {stock_code}: {exc}")
+
+    us_exchanges = frozenset({"NASD", "NYSE", "AMEX"})
+    exchange_codes: list[str] = []
+    seen_us = False
+    for market in overseas:
+        exc_code = market.exchange_code
+        if exc_code in us_exchanges:
+            if not seen_us:
+                exchange_codes.append("NASD")
+                seen_us = True
+        elif exc_code not in exchange_codes:
+            exchange_codes.append(exc_code)
+
+    for exchange_code in exchange_codes:
+        try:
+            orders = await overseas_broker.get_overseas_pending_orders(exchange_code)
+        except Exception as exc:
+            logger.warning(
+                "KillSwitch: failed to fetch overseas pending orders for %s: %s",
+                exchange_code,
+                exc,
+            )
+            continue
+        for order in orders:
+            stock_code = str(order.get("pdno", ""))
+            order_exchange = str(order.get("ovrs_excg_cd") or exchange_code)
+            try:
+                odno = order.get("odno", "")
+                nccs_qty = int(order.get("nccs_qty", "0") or "0")
+                if not stock_code or not odno or nccs_qty <= 0:
+                    continue
+                cancel_result = await overseas_broker.cancel_overseas_order(
+                    exchange_code=order_exchange,
+                    stock_code=stock_code,
+                    odno=odno,
+                    qty=nccs_qty,
+                )
+                if cancel_result.get("rt_cd") != "0":
+                    failures.append(
+                        "overseas cancel failed for"
+                        f" {order_exchange}/{stock_code}: rt_cd={cancel_result.get('rt_cd')}"
+                        f" msg={cancel_result.get('msg1')}"
+                    )
+            except Exception as exc:
+                logger.warning("KillSwitch: overseas cancel failed: %s", exc)
+                failures.append(
+                    f"overseas cancel exception for {order_exchange}/{stock_code}: {exc}"
+                )
+
+    if failures:
+        raise RuntimeError("; ".join(failures[:3]))
+
+
+async def _refresh_order_state_for_kill_switch(
+    *,
+    broker: KISBroker,
+    overseas_broker: OverseasBroker,
+    markets: list[MarketInfo],
+) -> None:
+    seen_overseas: set[str] = set()
+    for market in markets:
+        try:
+            if market.is_domestic:
+                await broker.get_balance()
+            elif market.exchange_code not in seen_overseas:
+                seen_overseas.add(market.exchange_code)
+                await overseas_broker.get_overseas_balance(market.exchange_code)
+        except Exception as exc:
+            logger.warning(
+                "KillSwitch: refresh state failed for %s/%s: %s",
+                market.code,
+                market.exchange_code,
+                exc,
+            )
+
+
+def _reduce_risk_for_kill_switch() -> None:
+    dropped = BLACKOUT_ORDER_MANAGER.clear()
+    logger.critical("KillSwitch: reduced queued order risk by clearing %d queued intents", dropped)
+
+
+async def _trigger_emergency_kill_switch(
+    *,
+    reason: str,
+    broker: KISBroker,
+    overseas_broker: OverseasBroker,
+    telegram: TelegramClient,
+    settings: Settings | None,
+    current_market: MarketInfo | None,
+    stock_code: str,
+    pnl_pct: float,
+    threshold: float,
+) -> Any:
+    markets = _resolve_kill_switch_markets(settings=settings, current_market=current_market)
+    return await KILL_SWITCH.trigger(
+        reason=reason,
+        cancel_pending_orders=lambda: _cancel_pending_orders_for_kill_switch(
+            broker=broker,
+            overseas_broker=overseas_broker,
+            markets=markets,
+        ),
+        refresh_order_state=lambda: _refresh_order_state_for_kill_switch(
+            broker=broker,
+            overseas_broker=overseas_broker,
+            markets=markets,
+        ),
+        reduce_risk=_reduce_risk_for_kill_switch,
+        snapshot_state=lambda: logger.critical(
+            "KillSwitch snapshot %s/%s pnl=%.2f threshold=%.2f",
+            current_market.code if current_market else "UNKNOWN",
+            stock_code,
+            pnl_pct,
+            threshold,
+        ),
+        notify=lambda: telegram.notify_circuit_breaker(
+            pnl_pct=pnl_pct,
+            threshold=threshold,
+        ),
+    )
+
+
 async def trading_cycle(
    broker: KISBroker,
    overseas_broker: OverseasBroker,
@@ -477,6 +858,7 @@ async def trading_cycle(
    cycle_start_time = asyncio.get_event_loop().time()

    # 1. Fetch market data
+    price_output: dict[str, Any] = {}  # Populated for overseas markets; used for fallback metrics
    if market.is_domestic:
        current_price, price_change_pct, foreigner_net = await broker.get_current_price(
            stock_code
@@ -508,9 +890,44 @@ async def trading_cycle(
            balance_info = {}

        total_eval = safe_float(balance_info.get("frcr_evlu_tota", "0") or "0")
-        total_cash = safe_float(balance_info.get("frcr_dncl_amt_2", "0") or "0")
        purchase_total = safe_float(balance_info.get("frcr_buy_amt_smtl", "0") or "0")

+        # Resolve current price first (needed for buying power API)
+        price_output = price_data.get("output", {})
+        current_price = safe_float(price_output.get("last", "0"))
+        if current_price <= 0:
+            market_candidates_lookup = scan_candidates.get(market.code, {})
+            cand_lookup = market_candidates_lookup.get(stock_code)
+            if cand_lookup and cand_lookup.price > 0:
+                logger.debug(
+                    "Price API returned 0 for %s; using scanner candidate price %.4f",
+                    stock_code,
+                    cand_lookup.price,
+                )
+                current_price = cand_lookup.price
+        foreigner_net = 0.0  # Not available for overseas
+        price_change_pct = safe_float(price_output.get("rate", "0"))
+
+        # Fetch available foreign currency cash via inquire-psamount (TTTS3007R/VTTS3007R).
+        # TTTS3012R output2 does not include a cash/deposit field — frcr_dncl_amt_2 does not exist.
+        # Source: 한국투자증권 오픈API 전체문서 (20260221) — '해외주식 매수가능금액조회' 시트
+        total_cash = 0.0
+        if current_price > 0:
+            try:
+                ps_data = await overseas_broker.get_overseas_buying_power(
+                    market.exchange_code, stock_code, current_price
+                )
+                total_cash = safe_float(
+                    ps_data.get("output", {}).get("ovrs_ord_psbl_amt", "0") or "0"
+                )
+            except ConnectionError as exc:
+                logger.warning(
+                    "Could not fetch overseas buying power for %s/%s: %s",
+                    market.exchange_code,
+                    stock_code,
+                    exc,
+                )
+
        # Paper mode fallback: VTS overseas balance API often fails for many accounts.
        # Only activate in paper mode — live mode must use real balance from KIS.
        if (
@@ -526,34 +943,6 @@ async def trading_cycle(
            )
            total_cash = settings.PAPER_OVERSEAS_CASH

-        current_price = safe_float(price_data.get("output", {}).get("last", "0"))
-        # Fallback: if price API returns 0, use scanner candidate price
-        if current_price <= 0:
-            market_candidates_lookup = scan_candidates.get(market.code, {})
-            cand_lookup = market_candidates_lookup.get(stock_code)
-            if cand_lookup and cand_lookup.price > 0:
-                logger.debug(
-                    "Price API returned 0 for %s; using scanner candidate price %.4f",
-                    stock_code,
-                    cand_lookup.price,
-                )
-                current_price = cand_lookup.price
-        foreigner_net = 0.0  # Not available for overseas
-        price_change_pct = safe_float(price_data.get("output", {}).get("rate", "0"))
-
-        # Price API may return 0/empty for certain VTS exchange codes.
-        # Fall back to the scanner candidate's price so order sizing still works.
-        if current_price <= 0:
-            market_candidates_lookup = scan_candidates.get(market.code, {})
-            cand_lookup = market_candidates_lookup.get(stock_code)
-            if cand_lookup and cand_lookup.price > 0:
-                current_price = cand_lookup.price
-                logger.debug(
-                    "Price API returned 0 for %s; using scanner price %.4f",
-                    stock_code,
-                    current_price,
-                )
-
    # Calculate daily P&L %
    pnl_pct = (
        ((total_eval - purchase_total) / purchase_total * 100)
@@ -575,6 +964,28 @@ async def trading_cycle(
    if candidate:
        market_data["rsi"] = candidate.rsi
        market_data["volume_ratio"] = candidate.volume_ratio
+    else:
+        # Holding stocks not in scanner: derive metrics from price API data already fetched.
+        # For overseas stocks, price_output contains high/low/rate from get_overseas_price.
+        # For domestic stocks, only price_change_pct is available from get_current_price.
+        market_data["rsi"] = max(0.0, min(100.0, 50.0 + price_change_pct * 2.0))
+        if price_output and current_price > 0:
+            pr_high = safe_float(
+                price_output.get("high") or price_output.get("ovrs_hgpr")
+                or price_output.get("stck_hgpr")
+            )
+            pr_low = safe_float(
+                price_output.get("low") or price_output.get("ovrs_lwpr")
+                or price_output.get("stck_lwpr")
+            )
+            if pr_high > 0 and pr_low > 0 and pr_high >= pr_low:
+                intraday_range_pct = (pr_high - pr_low) / current_price * 100.0
+                volatility_pct = max(abs(price_change_pct), intraday_range_pct)
+                market_data["volume_ratio"] = max(1.0, volatility_pct / 2.0)
+            else:
+                market_data["volume_ratio"] = 1.0
+        else:
+            market_data["volume_ratio"] = 1.0

    # Enrich market_data with holding info for SELL/HOLD scenario conditions
    open_pos = get_open_position(db_conn, stock_code, market.code)
@@ -754,7 +1165,24 @@ async def trading_cycle(
                    stop_loss_threshold = stock_playbook.scenarios[0].stop_loss_pct
                    take_profit_threshold = stock_playbook.scenarios[0].take_profit_pct

-                if loss_pct <= stop_loss_threshold:
+                exit_eval = evaluate_exit(
+                    current_state=PositionState.HOLDING,
+                    config=ExitRuleConfig(
+                        hard_stop_pct=stop_loss_threshold,
+                        be_arm_pct=max(0.5, take_profit_threshold * 0.4),
+                        arm_pct=take_profit_threshold,
+                    ),
+                    inp=ExitRuleInput(
+                        current_price=current_price,
+                        entry_price=entry_price,
+                        peak_price=max(entry_price, current_price),
+                        atr_value=0.0,
+                        pred_down_prob=0.0,
+                        liquidity_weak=market_data.get("volume_ratio", 1.0) < 1.0,
+                    ),
+                )
+
+                if exit_eval.reason == "hard_stop":
                    decision = TradeDecision(
                        action="SELL",
                        confidence=95,
@@ -770,7 +1198,7 @@ async def trading_cycle(
                        loss_pct,
                        stop_loss_threshold,
                    )
-                elif loss_pct >= take_profit_threshold:
+                elif exit_eval.reason == "arm_take_profit":
                    decision = TradeDecision(
                        action="SELL",
                        confidence=90,
@@ -846,6 +1274,15 @@ async def trading_cycle(
    trade_price = current_price
    trade_pnl = 0.0
    if decision.action in ("BUY", "SELL"):
+        if KILL_SWITCH.new_orders_blocked:
+            logger.critical(
+                "KillSwitch block active: skip %s order for %s (%s)",
+                decision.action,
+                stock_code,
+                market.name,
+            )
+            return
+
        broker_held_qty = (
            _extract_held_qty_from_balance(
                balance_data, stock_code, is_domestic=market.is_domestic
@@ -875,6 +1312,24 @@ async def trading_cycle(
            )
            return
        order_amount = current_price * quantity
+        fx_blocked, remaining_cash, required_buffer = _should_block_overseas_buy_for_fx_buffer(
+            market=market,
+            action=decision.action,
+            total_cash=total_cash,
+            order_amount=order_amount,
+            settings=settings,
+        )
+        if fx_blocked:
+            logger.warning(
+                "Skip BUY %s (%s): FX buffer guard (remaining=%.2f, required=%.2f, cash=%.2f, order=%.2f)",
+                stock_code,
+                market.name,
+                remaining_cash,
+                required_buffer,
+                total_cash,
+                order_amount,
+            )
+            return

        # 4. Check BUY cooldown (set when a prior BUY failed due to insufficient balance)
        if decision.action == "BUY" and buy_cooldown is not None:
@@ -914,6 +1369,26 @@ async def trading_cycle(
            except Exception as notify_exc:
                logger.warning("Fat finger notification failed: %s", notify_exc)
            raise  # Re-raise to prevent trade
+        except CircuitBreakerTripped as exc:
+            ks_report = await _trigger_emergency_kill_switch(
+                reason=f"circuit_breaker:{market.code}:{stock_code}:{exc.pnl_pct:.2f}",
+                broker=broker,
+                overseas_broker=overseas_broker,
+                telegram=telegram,
+                settings=settings,
+                current_market=market,
+                stock_code=stock_code,
+                pnl_pct=exc.pnl_pct,
+                threshold=exc.threshold,
+            )
+            if ks_report.errors:
+                logger.critical(
+                    "KillSwitch step errors for %s/%s: %s",
+                    market.code,
+                    stock_code,
+                    "; ".join(ks_report.errors),
+                )
+            raise

        # 5. Send order
        order_succeeded = True
@@ -926,6 +1401,31 @@ async def trading_cycle(
                order_price = kr_round_down(current_price * 1.002)
            else:
                order_price = kr_round_down(current_price * 0.998)
+            try:
+                validate_order_policy(
+                    market=market,
+                    order_type=decision.action,
+                    price=float(order_price),
+                )
+            except OrderPolicyRejected as exc:
+                logger.warning(
+                    "Order policy rejected %s %s (%s): %s [session=%s]",
+                    decision.action,
+                    stock_code,
+                    market.name,
+                    exc,
+                    exc.session_id,
+                )
+                return
+            if _maybe_queue_order_intent(
+                market=market,
+                stock_code=stock_code,
+                order_type=decision.action,
+                quantity=quantity,
+                price=float(order_price),
+                source="trading_cycle",
+            ):
+                return
            result = await broker.send_order(
                stock_code=stock_code,
                order_type=decision.action,
@@ -948,6 +1448,31 @@ async def trading_cycle(
                overseas_price = round(current_price * 1.002, _price_decimals)
            else:
                overseas_price = round(current_price * 0.998, _price_decimals)
+            try:
+                validate_order_policy(
+                    market=market,
+                    order_type=decision.action,
+                    price=float(overseas_price),
+                )
+            except OrderPolicyRejected as exc:
+                logger.warning(
+                    "Order policy rejected %s %s (%s): %s [session=%s]",
+                    decision.action,
+                    stock_code,
+                    market.name,
+                    exc,
+                    exc.session_id,
+                )
+                return
+            if _maybe_queue_order_intent(
+                market=market,
+                stock_code=stock_code,
+                order_type=decision.action,
+                quantity=quantity,
+                price=float(overseas_price),
+                source="trading_cycle",
+            ):
+                return
            result = await overseas_broker.send_overseas_order(
                exchange_code=market.exchange_code,
                stock_code=stock_code,
@@ -1192,6 +1717,11 @@ async def handle_domestic_pending_orders(
                                f"Invalid price ({last_price}) for {stock_code}"
                            )
                        new_price = kr_round_down(last_price * 0.996)
+                        validate_order_policy(
+                            market=MARKETS["KR"],
+                            order_type="SELL",
+                            price=float(new_price),
+                        )
                        await broker.send_order(
                            stock_code=stock_code,
                            order_type="SELL",
@@ -1365,6 +1895,19 @@ async def handle_overseas_pending_orders(
                                    f"Invalid price ({last_price}) for {stock_code}"
                                )
                            new_price = round(last_price * 0.996, 4)
+                            market_info = next(
+                                (
+                                    m for m in MARKETS.values()
+                                    if m.exchange_code == order_exchange and not m.is_domestic
+                                ),
+                                None,
+                            )
+                            if market_info is not None:
+                                validate_order_policy(
+                                    market=market_info,
+                                    order_type="SELL",
+                                    price=float(new_price),
+                                )
                            await overseas_broker.send_overseas_order(
                                exchange_code=order_exchange,
                                stock_code=stock_code,
@@ -1453,6 +1996,11 @@ async def run_daily_session(

    # Process each open market
    for market in open_markets:
+        await process_blackout_recovery_orders(
+            broker=broker,
+            overseas_broker=overseas_broker,
+            db_conn=db_conn,
+        )
        # Use market-local date for playbook keying
        market_today = datetime.now(market.timezone).date()

@@ -1493,8 +2041,9 @@ async def run_daily_session(
                active_stocks={},
            )
            if not fallback_stocks:
-                logger.warning(
-                    "No dynamic overseas symbol universe for %s; scanner cannot run",
+                logger.debug(
+                    "No dynamic overseas symbol universe for %s;"
+                    " scanner will use overseas ranking API",
                    market.code,
                )
        try:
@@ -1659,10 +2208,35 @@ async def run_daily_session(
                balance_info = {}

            total_eval = safe_float(balance_info.get("frcr_evlu_tota", "0") or "0")
-            total_cash = safe_float(balance_info.get("frcr_dncl_amt_2", "0") or "0")
            purchase_total = safe_float(
                balance_info.get("frcr_buy_amt_smtl", "0") or "0"
            )
+
+            # Fetch available foreign currency cash via inquire-psamount (TTTS3007R/VTTS3007R).
+            # TTTS3012R output2 does not include a cash/deposit field — frcr_dncl_amt_2 does not exist.
+            # Use the first stock with a valid price as the reference for the buying power query.
+            # Source: 한국투자증권 오픈API 전체문서 (20260221) — '해외주식 매수가능금액조회' 시트
+            total_cash = 0.0
+            ref_stock = next(
+                (s for s in stocks_data if s.get("current_price", 0) > 0), None
+            )
+            if ref_stock:
+                try:
+                    ps_data = await overseas_broker.get_overseas_buying_power(
+                        market.exchange_code,
+                        ref_stock["stock_code"],
+                        ref_stock["current_price"],
+                    )
+                    total_cash = safe_float(
+                        ps_data.get("output", {}).get("ovrs_ord_psbl_amt", "0") or "0"
+                    )
+                except ConnectionError as exc:
+                    logger.warning(
+                        "Could not fetch overseas buying power for %s: %s",
+                        market.exchange_code,
+                        exc,
+                    )
+
            # Paper mode fallback: VTS overseas balance API often fails for many accounts.
            # Only activate in paper mode — live mode must use real balance from KIS.
            if (
@@ -1789,6 +2363,15 @@ async def run_daily_session(
            trade_pnl = 0.0
            order_succeeded = True
            if decision.action in ("BUY", "SELL"):
+                if KILL_SWITCH.new_orders_blocked:
+                    logger.critical(
+                        "KillSwitch block active: skip %s order for %s (%s)",
+                        decision.action,
+                        stock_code,
+                        market.name,
+                    )
+                    continue
+
                daily_broker_held_qty = (
                    _extract_held_qty_from_balance(
                        balance_data, stock_code, is_domestic=market.is_domestic
@@ -1815,6 +2398,24 @@ async def run_daily_session(
                    )
                    continue
                order_amount = stock_data["current_price"] * quantity
+                fx_blocked, remaining_cash, required_buffer = _should_block_overseas_buy_for_fx_buffer(
+                    market=market,
+                    action=decision.action,
+                    total_cash=total_cash,
+                    order_amount=order_amount,
+                    settings=settings,
+                )
+                if fx_blocked:
+                    logger.warning(
+                        "Skip BUY %s (%s): FX buffer guard (remaining=%.2f, required=%.2f, cash=%.2f, order=%.2f)",
+                        stock_code,
+                        market.name,
+                        remaining_cash,
+                        required_buffer,
+                        total_cash,
+                        order_amount,
+                    )
+                    continue

                # Check BUY cooldown (insufficient balance)
                if decision.action == "BUY":
@@ -1855,15 +2456,24 @@ async def run_daily_session(
                        logger.warning("Fat finger notification failed: %s", notify_exc)
                    continue  # Skip this order
                except CircuitBreakerTripped as exc:
+                    ks_report = await _trigger_emergency_kill_switch(
+                        reason=f"daily_circuit_breaker:{market.code}:{stock_code}:{exc.pnl_pct:.2f}",
+                        broker=broker,
+                        overseas_broker=overseas_broker,
+                        telegram=telegram,
+                        settings=settings,
+                        current_market=market,
+                        stock_code=stock_code,
+                        pnl_pct=exc.pnl_pct,
+                        threshold=exc.threshold,
+                    )
                    logger.critical("Circuit breaker tripped — stopping session")
-                    try:
-                        await telegram.notify_circuit_breaker(
-                            pnl_pct=exc.pnl_pct,
-                            threshold=exc.threshold,
-                        )
-                    except Exception as notify_exc:
-                        logger.warning(
-                            "Circuit breaker notification failed: %s", notify_exc
+                    if ks_report.errors:
+                        logger.critical(
+                            "Daily KillSwitch step errors for %s/%s: %s",
+                            market.code,
+                            stock_code,
+                            "; ".join(ks_report.errors),
                        )
                    raise

@@ -1881,6 +2491,31 @@ async def run_daily_session(
                            order_price = kr_round_down(
                                stock_data["current_price"] * 0.998
                            )
+                        try:
+                            validate_order_policy(
+                                market=market,
+                                order_type=decision.action,
+                                price=float(order_price),
+                            )
+                        except OrderPolicyRejected as exc:
+                            logger.warning(
+                                "Order policy rejected %s %s (%s): %s [session=%s]",
+                                decision.action,
+                                stock_code,
+                                market.name,
+                                exc,
+                                exc.session_id,
+                            )
+                            continue
+                        if _maybe_queue_order_intent(
+                            market=market,
+                            stock_code=stock_code,
+                            order_type=decision.action,
+                            quantity=quantity,
+                            price=float(order_price),
+                            source="run_daily_session",
+                        ):
+                            continue
                        result = await broker.send_order(
                            stock_code=stock_code,
                            order_type=decision.action,
@@ -1893,6 +2528,31 @@ async def run_daily_session(
                            order_price = round(stock_data["current_price"] * 1.005, 4)
                        else:
                            order_price = stock_data["current_price"]
+                        try:
+                            validate_order_policy(
+                                market=market,
+                                order_type=decision.action,
+                                price=float(order_price),
+                            )
+                        except OrderPolicyRejected as exc:
+                            logger.warning(
+                                "Order policy rejected %s %s (%s): %s [session=%s]",
+                                decision.action,
+                                stock_code,
+                                market.name,
+                                exc,
+                                exc.session_id,
+                            )
+                            continue
+                        if _maybe_queue_order_intent(
+                            market=market,
+                            stock_code=stock_code,
+                            order_type=decision.action,
+                            quantity=quantity,
+                            price=float(order_price),
+                            source="run_daily_session",
+                        ):
+                            continue
                        result = await overseas_broker.send_overseas_order(
                            exchange_code=market.exchange_code,
                            stock_code=stock_code,
@@ -2131,6 +2791,19 @@ def _apply_dashboard_flag(settings: Settings, dashboard_flag: bool) -> Settings:

 async def run(settings: Settings) -> None:
    """Main async loop — iterate over open markets on a timer."""
+    global BLACKOUT_ORDER_MANAGER
+    BLACKOUT_ORDER_MANAGER = BlackoutOrderManager(
+        enabled=settings.ORDER_BLACKOUT_ENABLED,
+        windows=parse_blackout_windows_kst(settings.ORDER_BLACKOUT_WINDOWS_KST),
+        max_queue_size=settings.ORDER_BLACKOUT_QUEUE_MAX,
+    )
+    logger.info(
+        "Blackout manager initialized: enabled=%s windows=%s queue_max=%d",
+        settings.ORDER_BLACKOUT_ENABLED,
+        settings.ORDER_BLACKOUT_WINDOWS_KST,
+        settings.ORDER_BLACKOUT_QUEUE_MAX,
+    )
+
    broker = KISBroker(settings)
    overseas_broker = OverseasBroker(broker)
    brain = GeminiClient(settings)
@@ -2730,6 +3403,12 @@ async def run(settings: Settings) -> None:
                    if shutdown.is_set():
                        break

+                    await process_blackout_recovery_orders(
+                        broker=broker,
+                        overseas_broker=overseas_broker,
+                        db_conn=db_conn,
+                    )
+
                    # Notify market open if it just opened
                    if not _market_states.get(market.code, False):
                        try:
@@ -2781,9 +3460,9 @@ async def run(settings: Settings) -> None:
                                    active_stocks=active_stocks,
                                )
                                if not fallback_stocks:
-                                    logger.warning(
+                                    logger.debug(
                                        "No dynamic overseas symbol universe for %s;"
-                                        " scanner cannot run",
+                                        " scanner will use overseas ranking API",
                                        market.code,
                                    )

--- a/src/strategy/exit_rules.py
+++ b/src/strategy/exit_rules.py
@@ -0,0 +1,104 @@
+"""Composite exit rules: hard stop, break-even lock, ATR trailing, model assist."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+from src.strategy.position_state_machine import PositionState, StateTransitionInput, promote_state
+
+
+@dataclass(frozen=True)
+class ExitRuleConfig:
+    hard_stop_pct: float = -2.0
+    be_arm_pct: float = 1.2
+    arm_pct: float = 3.0
+    atr_multiplier_k: float = 2.2
+    model_prob_threshold: float = 0.62
+
+
+@dataclass(frozen=True)
+class ExitRuleInput:
+    current_price: float
+    entry_price: float
+    peak_price: float
+    atr_value: float = 0.0
+    pred_down_prob: float = 0.0
+    liquidity_weak: bool = False
+
+
+@dataclass(frozen=True)
+class ExitEvaluation:
+    state: PositionState
+    should_exit: bool
+    reason: str
+    unrealized_pnl_pct: float
+    trailing_stop_price: float | None
+
+
+def evaluate_exit(
+    *,
+    current_state: PositionState,
+    config: ExitRuleConfig,
+    inp: ExitRuleInput,
+) -> ExitEvaluation:
+    """Evaluate composite exit logic and return updated state."""
+    if inp.entry_price <= 0 or inp.current_price <= 0:
+        return ExitEvaluation(
+            state=current_state,
+            should_exit=False,
+            reason="invalid_price",
+            unrealized_pnl_pct=0.0,
+            trailing_stop_price=None,
+        )
+
+    unrealized = (inp.current_price - inp.entry_price) / inp.entry_price * 100.0
+    hard_stop_hit = unrealized <= config.hard_stop_pct
+    take_profit_hit = unrealized >= config.arm_pct
+
+    trailing_stop_price: float | None = None
+    trailing_stop_hit = False
+    if inp.atr_value > 0 and inp.peak_price > 0:
+        trailing_stop_price = inp.peak_price - (config.atr_multiplier_k * inp.atr_value)
+        trailing_stop_hit = inp.current_price <= trailing_stop_price
+
+    be_lock_threat = current_state in (PositionState.BE_LOCK, PositionState.ARMED) and (
+        inp.current_price <= inp.entry_price
+    )
+    model_exit_signal = inp.pred_down_prob >= config.model_prob_threshold and inp.liquidity_weak
+
+    next_state = promote_state(
+        current=current_state,
+        inp=StateTransitionInput(
+            unrealized_pnl_pct=unrealized,
+            be_arm_pct=config.be_arm_pct,
+            arm_pct=config.arm_pct,
+            hard_stop_hit=hard_stop_hit,
+            trailing_stop_hit=trailing_stop_hit,
+            model_exit_signal=model_exit_signal,
+            be_lock_threat=be_lock_threat,
+        ),
+    )
+
+    if hard_stop_hit:
+        reason = "hard_stop"
+    elif trailing_stop_hit:
+        reason = "atr_trailing_stop"
+    elif be_lock_threat:
+        reason = "be_lock_threat"
+    elif model_exit_signal:
+        reason = "model_liquidity_exit"
+    elif take_profit_hit:
+        # Backward-compatible immediate profit-taking path.
+        reason = "arm_take_profit"
+    else:
+        reason = "hold"
+
+    should_exit = next_state == PositionState.EXITED or take_profit_hit
+
+    return ExitEvaluation(
+        state=next_state,
+        should_exit=should_exit,
+        reason=reason,
+        unrealized_pnl_pct=unrealized,
+        trailing_stop_price=trailing_stop_price,
+    )
--- a/src/strategy/position_state_machine.py
+++ b/src/strategy/position_state_machine.py
@@ -0,0 +1,70 @@
+"""Position state machine for staged exit control.
+
+State progression is monotonic (promotion-only) except terminal EXITED.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from enum import Enum
+
+
+class PositionState(str, Enum):
+    HOLDING = "HOLDING"
+    BE_LOCK = "BE_LOCK"
+    ARMED = "ARMED"
+    EXITED = "EXITED"
+
+
+_STATE_RANK: dict[PositionState, int] = {
+    PositionState.HOLDING: 0,
+    PositionState.BE_LOCK: 1,
+    PositionState.ARMED: 2,
+    PositionState.EXITED: 3,
+}
+
+
+@dataclass(frozen=True)
+class StateTransitionInput:
+    unrealized_pnl_pct: float
+    be_arm_pct: float
+    arm_pct: float
+    hard_stop_hit: bool = False
+    trailing_stop_hit: bool = False
+    model_exit_signal: bool = False
+    be_lock_threat: bool = False
+
+
+def evaluate_exit_first(inp: StateTransitionInput) -> bool:
+    """Return True when terminal exit conditions are met.
+
+    EXITED must be evaluated before any promotion.
+    """
+    return (
+        inp.hard_stop_hit
+        or inp.trailing_stop_hit
+        or inp.model_exit_signal
+        or inp.be_lock_threat
+    )
+
+
+def promote_state(current: PositionState, inp: StateTransitionInput) -> PositionState:
+    """Promote to highest admissible state for current tick/bar.
+
+    Rules:
+    - EXITED has highest precedence and is terminal.
+    - Promotions are monotonic (no downgrade).
+    """
+    if current == PositionState.EXITED:
+        return PositionState.EXITED
+
+    if evaluate_exit_first(inp):
+        return PositionState.EXITED
+
+    target = PositionState.HOLDING
+    if inp.unrealized_pnl_pct >= inp.arm_pct:
+        target = PositionState.ARMED
+    elif inp.unrealized_pnl_pct >= inp.be_arm_pct:
+        target = PositionState.BE_LOCK
+
+    return target if _STATE_RANK[target] > _STATE_RANK[current] else current
--- a/tests/test_backtest_cost_guard.py
+++ b/tests/test_backtest_cost_guard.py
@@ -0,0 +1,83 @@
+from __future__ import annotations
+
+import pytest
+
+from src.analysis.backtest_cost_guard import BacktestCostModel, validate_backtest_cost_model
+
+
+def test_valid_backtest_cost_model_passes() -> None:
+    model = BacktestCostModel(
+        commission_bps=5.0,
+        slippage_bps_by_session={"KRX_REG": 10.0, "US_PRE": 50.0},
+        failure_rate_by_session={"KRX_REG": 0.01, "US_PRE": 0.08},
+        unfavorable_fill_required=True,
+    )
+    validate_backtest_cost_model(model=model, required_sessions=["KRX_REG", "US_PRE"])
+
+
+def test_missing_required_slippage_session_raises() -> None:
+    model = BacktestCostModel(
+        commission_bps=5.0,
+        slippage_bps_by_session={"KRX_REG": 10.0},
+        failure_rate_by_session={"KRX_REG": 0.01, "US_PRE": 0.08},
+        unfavorable_fill_required=True,
+    )
+    with pytest.raises(ValueError, match="missing slippage_bps_by_session.*US_PRE"):
+        validate_backtest_cost_model(model=model, required_sessions=["KRX_REG", "US_PRE"])
+
+
+def test_missing_required_failure_rate_session_raises() -> None:
+    model = BacktestCostModel(
+        commission_bps=5.0,
+        slippage_bps_by_session={"KRX_REG": 10.0, "US_PRE": 50.0},
+        failure_rate_by_session={"KRX_REG": 0.01},
+        unfavorable_fill_required=True,
+    )
+    with pytest.raises(ValueError, match="missing failure_rate_by_session.*US_PRE"):
+        validate_backtest_cost_model(model=model, required_sessions=["KRX_REG", "US_PRE"])
+
+
+def test_invalid_failure_rate_range_raises() -> None:
+    model = BacktestCostModel(
+        commission_bps=5.0,
+        slippage_bps_by_session={"KRX_REG": 10.0},
+        failure_rate_by_session={"KRX_REG": 1.2},
+        unfavorable_fill_required=True,
+    )
+    with pytest.raises(ValueError, match="failure rate must be within"):
+        validate_backtest_cost_model(model=model, required_sessions=["KRX_REG"])
+
+
+def test_unfavorable_fill_requirement_cannot_be_disabled() -> None:
+    model = BacktestCostModel(
+        commission_bps=5.0,
+        slippage_bps_by_session={"KRX_REG": 10.0},
+        failure_rate_by_session={"KRX_REG": 0.02},
+        unfavorable_fill_required=False,
+    )
+    with pytest.raises(ValueError, match="unfavorable_fill_required must be True"):
+        validate_backtest_cost_model(model=model, required_sessions=["KRX_REG"])
+
+
+@pytest.mark.parametrize("bad_commission", [float("nan"), float("inf"), float("-inf")])
+def test_non_finite_commission_rejected(bad_commission: float) -> None:
+    model = BacktestCostModel(
+        commission_bps=bad_commission,
+        slippage_bps_by_session={"KRX_REG": 10.0},
+        failure_rate_by_session={"KRX_REG": 0.02},
+        unfavorable_fill_required=True,
+    )
+    with pytest.raises(ValueError, match="commission_bps"):
+        validate_backtest_cost_model(model=model, required_sessions=["KRX_REG"])
+
+
+@pytest.mark.parametrize("bad_slippage", [float("nan"), float("inf"), float("-inf")])
+def test_non_finite_slippage_rejected(bad_slippage: float) -> None:
+    model = BacktestCostModel(
+        commission_bps=5.0,
+        slippage_bps_by_session={"KRX_REG": bad_slippage},
+        failure_rate_by_session={"KRX_REG": 0.02},
+        unfavorable_fill_required=True,
+    )
+    with pytest.raises(ValueError, match="slippage bps"):
+        validate_backtest_cost_model(model=model, required_sessions=["KRX_REG"])
--- a/tests/test_backtest_execution_model.py
+++ b/tests/test_backtest_execution_model.py
@@ -0,0 +1,108 @@
+from __future__ import annotations
+
+import pytest
+
+from src.analysis.backtest_execution_model import (
+    BacktestExecutionModel,
+    ExecutionAssumptions,
+    ExecutionRequest,
+)
+
+
+def test_buy_uses_unfavorable_slippage_direction() -> None:
+    model = BacktestExecutionModel(
+        ExecutionAssumptions(
+            slippage_bps_by_session={"US_PRE": 50.0},
+            failure_rate_by_session={"US_PRE": 0.0},
+            partial_fill_rate_by_session={"US_PRE": 0.0},
+            seed=1,
+        )
+    )
+    out = model.simulate(
+        ExecutionRequest(side="BUY", session_id="US_PRE", qty=10, reference_price=100.0)
+    )
+    assert out.status == "FILLED"
+    assert out.avg_price == pytest.approx(100.5)
+
+
+def test_sell_uses_unfavorable_slippage_direction() -> None:
+    model = BacktestExecutionModel(
+        ExecutionAssumptions(
+            slippage_bps_by_session={"US_PRE": 50.0},
+            failure_rate_by_session={"US_PRE": 0.0},
+            partial_fill_rate_by_session={"US_PRE": 0.0},
+            seed=1,
+        )
+    )
+    out = model.simulate(
+        ExecutionRequest(side="SELL", session_id="US_PRE", qty=10, reference_price=100.0)
+    )
+    assert out.status == "FILLED"
+    assert out.avg_price == pytest.approx(99.5)
+
+
+def test_failure_rate_can_reject_order() -> None:
+    model = BacktestExecutionModel(
+        ExecutionAssumptions(
+            slippage_bps_by_session={"KRX_REG": 10.0},
+            failure_rate_by_session={"KRX_REG": 1.0},
+            partial_fill_rate_by_session={"KRX_REG": 0.0},
+            seed=42,
+        )
+    )
+    out = model.simulate(
+        ExecutionRequest(side="BUY", session_id="KRX_REG", qty=10, reference_price=100.0)
+    )
+    assert out.status == "REJECTED"
+    assert out.filled_qty == 0
+
+
+def test_partial_fill_applies_when_rate_is_one() -> None:
+    model = BacktestExecutionModel(
+        ExecutionAssumptions(
+            slippage_bps_by_session={"KRX_REG": 0.0},
+            failure_rate_by_session={"KRX_REG": 0.0},
+            partial_fill_rate_by_session={"KRX_REG": 1.0},
+            partial_fill_min_ratio=0.4,
+            partial_fill_max_ratio=0.4,
+            seed=0,
+        )
+    )
+    out = model.simulate(
+        ExecutionRequest(side="BUY", session_id="KRX_REG", qty=10, reference_price=100.0)
+    )
+    assert out.status == "PARTIAL"
+    assert out.filled_qty == 4
+    assert out.avg_price == 100.0
+
+
+@pytest.mark.parametrize("bad_slip", [-1.0, float("nan"), float("inf")])
+def test_invalid_slippage_is_rejected(bad_slip: float) -> None:
+    with pytest.raises(ValueError, match="slippage_bps"):
+        BacktestExecutionModel(
+            ExecutionAssumptions(
+                slippage_bps_by_session={"US_PRE": bad_slip},
+                failure_rate_by_session={"US_PRE": 0.0},
+                partial_fill_rate_by_session={"US_PRE": 0.0},
+            )
+        )
+
+
+@pytest.mark.parametrize("bad_rate", [-0.1, 1.1, float("nan")])
+def test_invalid_failure_or_partial_rates_are_rejected(bad_rate: float) -> None:
+    with pytest.raises(ValueError, match="failure_rate"):
+        BacktestExecutionModel(
+            ExecutionAssumptions(
+                slippage_bps_by_session={"US_PRE": 10.0},
+                failure_rate_by_session={"US_PRE": bad_rate},
+                partial_fill_rate_by_session={"US_PRE": 0.0},
+            )
+        )
+    with pytest.raises(ValueError, match="partial_fill_rate"):
+        BacktestExecutionModel(
+            ExecutionAssumptions(
+                slippage_bps_by_session={"US_PRE": 10.0},
+                failure_rate_by_session={"US_PRE": 0.0},
+                partial_fill_rate_by_session={"US_PRE": bad_rate},
+            )
+        )
--- a/tests/test_blackout_manager.py
+++ b/tests/test_blackout_manager.py
@@ -0,0 +1,81 @@
+from __future__ import annotations
+
+from datetime import UTC, datetime
+
+from src.core.blackout_manager import (
+    BlackoutOrderManager,
+    QueuedOrderIntent,
+    parse_blackout_windows_kst,
+)
+
+
+def test_parse_blackout_windows_kst() -> None:
+    windows = parse_blackout_windows_kst("23:30-00:10,11:20-11:30,invalid")
+    assert len(windows) == 2
+
+
+def test_blackout_manager_handles_cross_midnight_window() -> None:
+    manager = BlackoutOrderManager(
+        enabled=True,
+        windows=parse_blackout_windows_kst("23:30-00:10"),
+        max_queue_size=10,
+    )
+    # 2026-01-01 23:40 KST = 2026-01-01 14:40 UTC
+    assert manager.in_blackout(datetime(2026, 1, 1, 14, 40, tzinfo=UTC))
+    # 2026-01-02 00:20 KST = 2026-01-01 15:20 UTC
+    assert not manager.in_blackout(datetime(2026, 1, 1, 15, 20, tzinfo=UTC))
+
+
+def test_recovery_batch_only_after_blackout_exit() -> None:
+    manager = BlackoutOrderManager(
+        enabled=True,
+        windows=parse_blackout_windows_kst("23:30-00:10"),
+        max_queue_size=10,
+    )
+    intent = QueuedOrderIntent(
+        market_code="KR",
+        exchange_code="KRX",
+        stock_code="005930",
+        order_type="BUY",
+        quantity=1,
+        price=100.0,
+        source="test",
+        queued_at=datetime.now(UTC),
+    )
+    assert manager.enqueue(intent)
+
+    # Inside blackout: no pop yet
+    inside_blackout = datetime(2026, 1, 1, 14, 40, tzinfo=UTC)
+    assert manager.pop_recovery_batch(inside_blackout) == []
+
+    # Outside blackout: pop full batch once
+    outside_blackout = datetime(2026, 1, 1, 15, 20, tzinfo=UTC)
+    batch = manager.pop_recovery_batch(outside_blackout)
+    assert len(batch) == 1
+    assert manager.pending_count == 0
+
+
+def test_requeued_intent_is_processed_next_non_blackout_cycle() -> None:
+    manager = BlackoutOrderManager(
+        enabled=True,
+        windows=parse_blackout_windows_kst("23:30-00:10"),
+        max_queue_size=10,
+    )
+    intent = QueuedOrderIntent(
+        market_code="KR",
+        exchange_code="KRX",
+        stock_code="005930",
+        order_type="BUY",
+        quantity=1,
+        price=100.0,
+        source="test",
+        queued_at=datetime.now(UTC),
+    )
+    manager.enqueue(intent)
+    outside_blackout = datetime(2026, 1, 1, 15, 20, tzinfo=UTC)
+    first_batch = manager.pop_recovery_batch(outside_blackout)
+    assert len(first_batch) == 1
+
+    manager.requeue(first_batch[0])
+    second_batch = manager.pop_recovery_batch(outside_blackout)
+    assert len(second_batch) == 1
--- a/tests/test_db.py
+++ b/tests/test_db.py
@@ -155,6 +155,8 @@ def test_mode_column_exists_in_schema() -> None:
    cursor = conn.execute("PRAGMA table_info(trades)")
    columns = {row[1] for row in cursor.fetchall()}
    assert "mode" in columns
+    assert "strategy_pnl" in columns
+    assert "fx_pnl" in columns


 def test_mode_migration_adds_column_to_existing_db() -> None:
@@ -182,6 +184,13 @@ def test_mode_migration_adds_column_to_existing_db() -> None:
                decision_id TEXT
            )"""
        )
+        old_conn.execute(
+            """
+            INSERT INTO trades (
+                timestamp, stock_code, action, confidence, rationale, quantity, price, pnl
+            ) VALUES ('2026-01-01T00:00:00+00:00', 'AAPL', 'SELL', 90, 'legacy', 1, 100.0, 123.45)
+            """
+        )
        old_conn.commit()
        old_conn.close()

@@ -190,6 +199,81 @@ def test_mode_migration_adds_column_to_existing_db() -> None:
        cursor = conn.execute("PRAGMA table_info(trades)")
        columns = {row[1] for row in cursor.fetchall()}
        assert "mode" in columns
+        assert "strategy_pnl" in columns
+        assert "fx_pnl" in columns
+        migrated = conn.execute(
+            "SELECT pnl, strategy_pnl, fx_pnl FROM trades WHERE stock_code='AAPL' LIMIT 1"
+        ).fetchone()
+        assert migrated is not None
+        assert migrated[0] == 123.45
+        assert migrated[1] == 123.45
+        assert migrated[2] == 0.0
        conn.close()
    finally:
        os.unlink(db_path)
+
+
+def test_log_trade_stores_strategy_and_fx_pnl_separately() -> None:
+    conn = init_db(":memory:")
+    log_trade(
+        conn=conn,
+        stock_code="AAPL",
+        action="SELL",
+        confidence=90,
+        rationale="fx split",
+        pnl=120.0,
+        strategy_pnl=100.0,
+        fx_pnl=20.0,
+        market="US_NASDAQ",
+        exchange_code="NASD",
+    )
+    row = conn.execute(
+        "SELECT pnl, strategy_pnl, fx_pnl FROM trades ORDER BY id DESC LIMIT 1"
+    ).fetchone()
+    assert row is not None
+    assert row[0] == 120.0
+    assert row[1] == 100.0
+    assert row[2] == 20.0
+
+
+def test_log_trade_backward_compat_sets_strategy_pnl_from_pnl() -> None:
+    conn = init_db(":memory:")
+    log_trade(
+        conn=conn,
+        stock_code="005930",
+        action="SELL",
+        confidence=80,
+        rationale="legacy",
+        pnl=50.0,
+        market="KR",
+        exchange_code="KRX",
+    )
+    row = conn.execute(
+        "SELECT pnl, strategy_pnl, fx_pnl FROM trades ORDER BY id DESC LIMIT 1"
+    ).fetchone()
+    assert row is not None
+    assert row[0] == 50.0
+    assert row[1] == 50.0
+    assert row[2] == 0.0
+
+
+def test_log_trade_partial_fx_input_does_not_infer_negative_strategy_pnl() -> None:
+    conn = init_db(":memory:")
+    log_trade(
+        conn=conn,
+        stock_code="AAPL",
+        action="SELL",
+        confidence=70,
+        rationale="fx only",
+        pnl=0.0,
+        fx_pnl=10.0,
+        market="US_NASDAQ",
+        exchange_code="NASD",
+    )
+    row = conn.execute(
+        "SELECT pnl, strategy_pnl, fx_pnl FROM trades ORDER BY id DESC LIMIT 1"
+    ).fetchone()
+    assert row is not None
+    assert row[0] == 10.0
+    assert row[1] == 0.0
+    assert row[2] == 10.0
--- a/tests/test_kill_switch.py
+++ b/tests/test_kill_switch.py
@@ -0,0 +1,55 @@
+import pytest
+
+from src.core.kill_switch import KillSwitchOrchestrator
+
+
+@pytest.mark.asyncio
+async def test_kill_switch_executes_steps_in_order() -> None:
+    ks = KillSwitchOrchestrator()
+    calls: list[str] = []
+
+    async def _cancel() -> None:
+        calls.append("cancel")
+
+    def _refresh() -> None:
+        calls.append("refresh")
+
+    def _reduce() -> None:
+        calls.append("reduce")
+
+    def _snapshot() -> None:
+        calls.append("snapshot")
+
+    def _notify() -> None:
+        calls.append("notify")
+
+    report = await ks.trigger(
+        reason="test",
+        cancel_pending_orders=_cancel,
+        refresh_order_state=_refresh,
+        reduce_risk=_reduce,
+        snapshot_state=_snapshot,
+        notify=_notify,
+    )
+
+    assert report.steps == [
+        "block_new_orders",
+        "cancel_pending_orders",
+        "refresh_order_state",
+        "reduce_risk",
+        "snapshot_state",
+        "notify",
+    ]
+    assert calls == ["cancel", "refresh", "reduce", "snapshot", "notify"]
+    assert report.errors == []
+
+
+@pytest.mark.asyncio
+async def test_kill_switch_collects_step_errors() -> None:
+    ks = KillSwitchOrchestrator()
+
+    def _boom() -> None:
+        raise RuntimeError("boom")
+
+    report = await ks.trigger(reason="test", cancel_pending_orders=_boom)
+    assert any(err.startswith("cancel_pending_orders:") for err in report.errors)
--- a/tests/test_main.py
+++ b/tests/test_main.py
@@ -8,11 +8,15 @@ import pytest
 from src.config import Settings
 from src.context.layer import ContextLayer
 from src.context.scheduler import ScheduleResult
+from src.core.order_policy import OrderPolicyRejected
 from src.core.risk_manager import CircuitBreakerTripped, FatFingerRejected
 from src.db import init_db, log_trade
 from src.evolution.scorecard import DailyScorecard
 from src.logging.decision_logger import DecisionLogger
 from src.main import (
+    KILL_SWITCH,
+    _should_block_overseas_buy_for_fx_buffer,
+    _trigger_emergency_kill_switch,
    _apply_dashboard_flag,
    _determine_order_quantity,
    _extract_avg_price_from_balance,
@@ -25,6 +29,7 @@ from src.main import (
    _start_dashboard_server,
    handle_domestic_pending_orders,
    handle_overseas_pending_orders,
+    process_blackout_recovery_orders,
    run_daily_session,
    safe_float,
    sync_positions_from_broker,
@@ -77,6 +82,14 @@ def _make_sell_match(stock_code: str = "005930") -> ScenarioMatch:
    )


+@pytest.fixture(autouse=True)
+def _reset_kill_switch_state() -> None:
+    """Prevent cross-test leakage from global kill-switch state."""
+    KILL_SWITCH.clear_block()
+    yield
+    KILL_SWITCH.clear_block()
+
+
 class TestExtractAvgPriceFromBalance:
    """Tests for _extract_avg_price_from_balance() (issue #249)."""

@@ -903,12 +916,14 @@ class TestOverseasBalanceParsing:
                "output2": [
                    {
                        "frcr_evlu_tota": "10000.00",
-                        "frcr_dncl_amt_2": "5000.00",
                        "frcr_buy_amt_smtl": "4500.00",
                    }
                ]
            }
        )
+        broker.get_overseas_buying_power = AsyncMock(
+            return_value={"output": {"ovrs_ord_psbl_amt": "5000.00"}}
+        )
        return broker

    @pytest.fixture
@@ -922,11 +937,13 @@ class TestOverseasBalanceParsing:
            return_value={
                "output2": {
                    "frcr_evlu_tota": "10000.00",
-                    "frcr_dncl_amt_2": "5000.00",
                    "frcr_buy_amt_smtl": "4500.00",
                }
            }
        )
+        broker.get_overseas_buying_power = AsyncMock(
+            return_value={"output": {"ovrs_ord_psbl_amt": "5000.00"}}
+        )
        return broker

    @pytest.fixture
@@ -937,6 +954,9 @@ class TestOverseasBalanceParsing:
            return_value={"output": {"last": "150.50"}}
        )
        broker.get_overseas_balance = AsyncMock(return_value={"output2": []})
+        broker.get_overseas_buying_power = AsyncMock(
+            return_value={"output": {"ovrs_ord_psbl_amt": "0.00"}}
+        )
        return broker

    @pytest.fixture
@@ -951,12 +971,15 @@ class TestOverseasBalanceParsing:
                "output2": [
                    {
                        "frcr_evlu_tota": "10000.00",
-                        "frcr_dncl_amt_2": "5000.00",
                        "frcr_buy_amt_smtl": "4500.00",
                    }
                ]
            }
        )
+        # get_overseas_buying_power not called when price=0, but mock for safety
+        broker.get_overseas_buying_power = AsyncMock(
+            return_value={"output": {"ovrs_ord_psbl_amt": "5000.00"}}
+        )
        return broker

    @pytest.fixture
@@ -1186,12 +1209,14 @@ class TestOverseasBalanceParsing:
                "output2": [
                    {
                        "frcr_evlu_tota": "100000.00",
-                        "frcr_dncl_amt_2": "50000.00",
                        "frcr_buy_amt_smtl": "50000.00",
                    }
                ]
            }
        )
+        broker.get_overseas_buying_power = AsyncMock(
+            return_value={"output": {"ovrs_ord_psbl_amt": "50000.00"}}
+        )
        broker.send_overseas_order = AsyncMock(return_value={"msg1": "주문접수"})
        return broker

@@ -1291,12 +1316,14 @@ class TestOverseasBalanceParsing:
                "output2": [
                    {
                        "frcr_evlu_tota": "100000.00",
-                        "frcr_dncl_amt_2": "50000.00",
                        "frcr_buy_amt_smtl": "50000.00",
                    }
                ],
            }
        )
+        overseas_broker.get_overseas_buying_power = AsyncMock(
+            return_value={"output": {"ovrs_ord_psbl_amt": "50000.00"}}
+        )
        overseas_broker.send_overseas_order = AsyncMock(
            return_value={"rt_cd": "0", "msg1": "OK"}
        )
@@ -1355,9 +1382,12 @@ class TestOverseasBalanceParsing:
        overseas_broker.get_overseas_balance = AsyncMock(
            return_value={
                "output1": [],
-                "output2": [{"frcr_evlu_tota": "0", "frcr_dncl_amt_2": "10000", "frcr_buy_amt_smtl": "0"}],
+                "output2": [{"frcr_evlu_tota": "0", "frcr_buy_amt_smtl": "0"}],
            }
        )
+        overseas_broker.get_overseas_buying_power = AsyncMock(
+            return_value={"output": {"ovrs_ord_psbl_amt": "10000"}}
+        )
        overseas_broker.get_overseas_price = AsyncMock(
            return_value={"output": {"last": "50.1234", "rate": "0"}}
        )
@@ -1413,9 +1443,12 @@ class TestOverseasBalanceParsing:
        overseas_broker.get_overseas_balance = AsyncMock(
            return_value={
                "output1": [],
-                "output2": [{"frcr_evlu_tota": "0", "frcr_dncl_amt_2": "10000", "frcr_buy_amt_smtl": "0"}],
+                "output2": [{"frcr_evlu_tota": "0", "frcr_buy_amt_smtl": "0"}],
            }
        )
+        overseas_broker.get_overseas_buying_power = AsyncMock(
+            return_value={"output": {"ovrs_ord_psbl_amt": "10000"}}
+        )
        overseas_broker.get_overseas_price = AsyncMock(
            return_value={"output": {"last": "0.5678", "rate": "0"}}
        )
@@ -1648,10 +1681,10 @@ class TestScenarioEngineIntegration:
                scan_candidates={"US": {"005930": us_candidate}},  # Wrong market
            )

-        # Should NOT have rsi/volume_ratio because candidate is under US, not KR
+        # Should NOT use US candidate's rsi (=15.0); fallback implied_rsi used instead
        market_data = engine.evaluate.call_args[0][2]
-        assert "rsi" not in market_data
-        assert "volume_ratio" not in market_data
+        assert market_data["rsi"] != 15.0  # US candidate's rsi must be ignored
+        assert market_data["volume_ratio"] == 1.0  # Fallback default

    @pytest.mark.asyncio
    async def test_scenario_engine_called_without_scanner_data(
@@ -1682,13 +1715,70 @@ class TestScenarioEngineIntegration:
                scan_candidates={},  # No scanner data
            )

-        # Should still work, just without rsi/volume_ratio
+        # Holding stocks without scanner data use implied_rsi (from price_change_pct)
+        # and volume_ratio=1.0 as fallback, so rsi/volume_ratio are always present.
        engine.evaluate.assert_called_once()
        market_data = engine.evaluate.call_args[0][2]
-        assert "rsi" not in market_data
-        assert "volume_ratio" not in market_data
+        assert "rsi" in market_data  # Implied RSI from price_change_pct=2.5 → 55.0
+        assert market_data["rsi"] == pytest.approx(55.0)
+        assert market_data["volume_ratio"] == 1.0
        assert market_data["current_price"] == 50000.0

+    @pytest.mark.asyncio
+    async def test_holding_overseas_stock_derives_volume_ratio_from_price_api(
+        self, mock_broker: MagicMock, mock_telegram: MagicMock,
+    ) -> None:
+        """Test overseas holding stocks derive volume_ratio from get_overseas_price high/low."""
+        engine = MagicMock(spec=ScenarioEngine)
+        engine.evaluate = MagicMock(return_value=_make_hold_match())
+
+        os_market = MagicMock()
+        os_market.name = "NASDAQ"
+        os_market.code = "US_NASDAQ"
+        os_market.exchange_code = "NAS"
+        os_market.is_domestic = False
+        os_market.timezone = UTC
+
+        os_broker = MagicMock()
+        # price_change_pct=5.0, high=106, low=94 → intraday_range=12% → volume_ratio=max(1,6)=6
+        os_broker.get_overseas_price = AsyncMock(return_value={
+            "output": {"last": "100.0", "rate": "5.0", "high": "106.0", "low": "94.0"}
+        })
+        os_broker.get_overseas_balance = AsyncMock(return_value={
+            "output2": [{"frcr_evlu_tota": "10000", "frcr_buy_amt_smtl": "9000"}]
+        })
+        os_broker.get_overseas_buying_power = AsyncMock(return_value={
+            "output": {"ovrs_ord_psbl_amt": "500"}
+        })
+
+        with patch("src.main.log_trade"):
+            await trading_cycle(
+                broker=mock_broker,
+                overseas_broker=os_broker,
+                scenario_engine=engine,
+                playbook=_make_playbook(),
+                risk=MagicMock(),
+                db_conn=MagicMock(),
+                decision_logger=MagicMock(),
+                context_store=MagicMock(get_latest_timeframe=MagicMock(return_value=None)),
+                criticality_assessor=MagicMock(
+                    assess_market_conditions=MagicMock(return_value=MagicMock(value="NORMAL")),
+                    get_timeout=MagicMock(return_value=5.0),
+                ),
+                telegram=mock_telegram,
+                market=os_market,
+                stock_code="NVDA",
+                scan_candidates={},  # Not in scanner — holding stock
+            )
+
+        market_data = engine.evaluate.call_args[0][2]
+        # rsi: 50.0 + 5.0 * 2.0 = 60.0
+        assert market_data["rsi"] == pytest.approx(60.0)
+        # intraday_range = (106-94)/100 * 100 = 12.0%
+        # volatility_pct = max(abs(5.0), 12.0) = 12.0
+        # volume_ratio = max(1.0, 12.0 / 2.0) = 6.0
+        assert market_data["volume_ratio"] == pytest.approx(6.0)
+
    @pytest.mark.asyncio
    async def test_scenario_matched_notification_sent(
        self, mock_broker: MagicMock, mock_market: MagicMock, mock_telegram: MagicMock,
@@ -2781,9 +2871,11 @@ class TestBuyCooldown:
        )
        broker.get_overseas_balance = AsyncMock(return_value={
            "output1": [],
-            "output2": [{"frcr_dncl_amt_2": "50000", "frcr_evlu_tota": "50000",
-                         "frcr_buy_amt_smtl": "0"}],
+            "output2": [{"frcr_evlu_tota": "50000", "frcr_buy_amt_smtl": "0"}],
        })
+        broker.get_overseas_buying_power = AsyncMock(
+            return_value={"output": {"ovrs_ord_psbl_amt": "50000"}}
+        )
        broker.send_overseas_order = AsyncMock(
            return_value={"rt_cd": "1", "msg1": "모의투자 주문가능금액이 부족합니다."}
        )
@@ -2896,9 +2988,11 @@ class TestBuyCooldown:
        )
        overseas_broker.get_overseas_balance = AsyncMock(return_value={
            "output1": [],
-            "output2": [{"frcr_dncl_amt_2": "50000", "frcr_evlu_tota": "50000",
-                         "frcr_buy_amt_smtl": "0"}],
+            "output2": [{"frcr_evlu_tota": "50000", "frcr_buy_amt_smtl": "0"}],
        })
+        overseas_broker.get_overseas_buying_power = AsyncMock(
+            return_value={"output": {"ovrs_ord_psbl_amt": "50000"}}
+        )
        overseas_broker.send_overseas_order = AsyncMock(
            return_value={"rt_cd": "1", "msg1": "기타 오류 메시지"}
        )
@@ -3293,9 +3387,12 @@ async def test_buy_suppressed_when_open_position_exists() -> None:
    overseas_broker.get_overseas_balance = AsyncMock(
        return_value={
            "output1": [],
-            "output2": [{"frcr_dncl_amt_2": "10000", "frcr_evlu_tota": "10000", "frcr_buy_amt_smtl": "0"}],
+            "output2": [{"frcr_evlu_tota": "10000", "frcr_buy_amt_smtl": "0"}],
        }
    )
+    overseas_broker.get_overseas_buying_power = AsyncMock(
+        return_value={"output": {"ovrs_ord_psbl_amt": "10000"}}
+    )
    overseas_broker.send_overseas_order = AsyncMock(return_value={"msg1": "OK"})

    engine = MagicMock(spec=ScenarioEngine)
@@ -3357,9 +3454,12 @@ async def test_buy_proceeds_when_no_open_position() -> None:
    overseas_broker.get_overseas_balance = AsyncMock(
        return_value={
            "output1": [],
-            "output2": [{"frcr_dncl_amt_2": "50000", "frcr_evlu_tota": "50000", "frcr_buy_amt_smtl": "0"}],
+            "output2": [{"frcr_evlu_tota": "50000", "frcr_buy_amt_smtl": "0"}],
        }
    )
+    overseas_broker.get_overseas_buying_power = AsyncMock(
+        return_value={"output": {"ovrs_ord_psbl_amt": "50000"}}
+    )
    overseas_broker.send_overseas_order = AsyncMock(return_value={"msg1": "OK"})

    engine = MagicMock(spec=ScenarioEngine)
@@ -3460,13 +3560,15 @@ class TestOverseasBrokerIntegration:
                "output1": [{"ovrs_pdno": "AAPL", "ovrs_cblc_qty": "10"}],
                "output2": [
                    {
-                        "frcr_dncl_amt_2": "50000.00",
                        "frcr_evlu_tota": "60000.00",
                        "frcr_buy_amt_smtl": "50000.00",
                    }
                ],
            }
        )
+        overseas_broker.get_overseas_buying_power = AsyncMock(
+            return_value={"output": {"ovrs_ord_psbl_amt": "50000.00"}}
+        )
        overseas_broker.send_overseas_order = AsyncMock(return_value={"msg1": "주문접수"})

        engine = MagicMock(spec=ScenarioEngine)
@@ -3534,13 +3636,15 @@ class TestOverseasBrokerIntegration:
                "output1": [],
                "output2": [
                    {
-                        "frcr_dncl_amt_2": "50000.00",
                        "frcr_evlu_tota": "50000.00",
                        "frcr_buy_amt_smtl": "0.00",
                    }
                ],
            }
        )
+        overseas_broker.get_overseas_buying_power = AsyncMock(
+            return_value={"output": {"ovrs_ord_psbl_amt": "50000.00"}}
+        )
        overseas_broker.send_overseas_order = AsyncMock(return_value={"msg1": "주문접수"})

        engine = MagicMock(spec=ScenarioEngine)
@@ -3587,6 +3691,81 @@ class TestOverseasBrokerIntegration:
        # DB도 브로커도 보유 없음 → BUY 주문이 실행되어야 함 (회귀 테스트)
        overseas_broker.send_overseas_order.assert_called_once()

+    @pytest.mark.asyncio
+    async def test_overseas_buy_blocked_by_usd_buffer_guard(self) -> None:
+        """Overseas BUY must be blocked when USD buffer would be breached."""
+        db_conn = init_db(":memory:")
+
+        overseas_broker = MagicMock()
+        overseas_broker.get_overseas_price = AsyncMock(
+            return_value={"output": {"last": "182.50"}}
+        )
+        overseas_broker.get_overseas_balance = AsyncMock(
+            return_value={
+                "output1": [],
+                "output2": [
+                    {
+                        "frcr_evlu_tota": "50000.00",
+                        "frcr_buy_amt_smtl": "0.00",
+                    }
+                ],
+            }
+        )
+        overseas_broker.get_overseas_buying_power = AsyncMock(
+            return_value={"output": {"ovrs_ord_psbl_amt": "50000.00"}}
+        )
+        overseas_broker.send_overseas_order = AsyncMock(return_value={"msg1": "주문접수"})
+
+        engine = MagicMock(spec=ScenarioEngine)
+        engine.evaluate = MagicMock(return_value=_make_buy_match("AAPL"))
+
+        market = MagicMock()
+        market.name = "NASDAQ"
+        market.code = "US_NASDAQ"
+        market.exchange_code = "NASD"
+        market.is_domestic = False
+
+        telegram = MagicMock()
+        telegram.notify_trade_execution = AsyncMock()
+        telegram.notify_fat_finger = AsyncMock()
+        telegram.notify_circuit_breaker = AsyncMock()
+        telegram.notify_scenario_matched = AsyncMock()
+
+        decision_logger = MagicMock()
+        decision_logger.log_decision = MagicMock(return_value="decision-id")
+
+        settings = MagicMock()
+        settings.POSITION_SIZING_ENABLED = False
+        settings.CONFIDENCE_THRESHOLD = 80
+        settings.USD_BUFFER_MIN = 49900.0
+        settings.MODE = "paper"
+        settings.PAPER_OVERSEAS_CASH = 50000.0
+
+        await trading_cycle(
+            broker=MagicMock(),
+            overseas_broker=overseas_broker,
+            scenario_engine=engine,
+            playbook=_make_playbook(market="US"),
+            risk=MagicMock(),
+            db_conn=db_conn,
+            decision_logger=decision_logger,
+            context_store=MagicMock(
+                get_latest_timeframe=MagicMock(return_value=None),
+                set_context=MagicMock(),
+            ),
+            criticality_assessor=MagicMock(
+                assess_market_conditions=MagicMock(return_value=MagicMock(value="NORMAL")),
+                get_timeout=MagicMock(return_value=5.0),
+            ),
+            telegram=telegram,
+            market=market,
+            stock_code="AAPL",
+            scan_candidates={},
+            settings=settings,
+        )
+
+        overseas_broker.send_overseas_order.assert_not_called()
+

 # ---------------------------------------------------------------------------
 # _retry_connection — unit tests (issue #209)
@@ -3620,7 +3799,6 @@ class TestRetryConnection:
        with patch("src.main.asyncio.sleep") as mock_sleep:
            mock_sleep.return_value = None
            result = await _retry_connection(flaky, label="flaky")
-
        assert result == "ok"
        assert call_count == 2
        mock_sleep.assert_called_once()
@@ -3675,6 +3853,48 @@ class TestRetryConnection:
        assert call_count == 1  # No retry for non-ConnectionError


+def test_fx_buffer_guard_applies_only_to_us_and_respects_boundary() -> None:
+    settings = MagicMock()
+    settings.USD_BUFFER_MIN = 1000.0
+
+    us_market = MagicMock()
+    us_market.is_domestic = False
+    us_market.code = "US_NASDAQ"
+
+    blocked, remaining, required = _should_block_overseas_buy_for_fx_buffer(
+        market=us_market,
+        action="BUY",
+        total_cash=5000.0,
+        order_amount=4001.0,
+        settings=settings,
+    )
+    assert blocked
+    assert remaining == 999.0
+    assert required == 1000.0
+
+    blocked_eq, _, _ = _should_block_overseas_buy_for_fx_buffer(
+        market=us_market,
+        action="BUY",
+        total_cash=5000.0,
+        order_amount=4000.0,
+        settings=settings,
+    )
+    assert not blocked_eq
+
+    jp_market = MagicMock()
+    jp_market.is_domestic = False
+    jp_market.code = "JP"
+    blocked_jp, _, required_jp = _should_block_overseas_buy_for_fx_buffer(
+        market=jp_market,
+        action="BUY",
+        total_cash=5000.0,
+        order_amount=4500.0,
+        settings=settings,
+    )
+    assert not blocked_jp
+    assert required_jp == 0.0
+
+
 # run_daily_session — daily CB baseline (daily_start_eval) tests (issue #207)
 # ---------------------------------------------------------------------------

@@ -3963,7 +4183,6 @@ class TestSyncPositionsFromBroker:
            "output2": [
                {
                    "frcr_evlu_tota": "50000",
-                    "frcr_dncl_amt_2": "10000",
                    "frcr_buy_amt_smtl": "40000",
                }
            ],
@@ -4131,7 +4350,7 @@ class TestSyncPositionsFromBroker:

        balance = {
            "output1": [{"ovrs_pdno": "AAPL", "ovrs_cblc_qty": "10", "pchs_avg_pric": "170.0"}],
-            "output2": [{"frcr_evlu_tota": "50000", "frcr_dncl_amt_2": "10000", "frcr_buy_amt_smtl": "40000"}],
+            "output2": [{"frcr_evlu_tota": "50000", "frcr_buy_amt_smtl": "40000"}],
        }
        broker = MagicMock()
        overseas_broker = MagicMock()
@@ -4789,6 +5008,9 @@ class TestOverseasGhostPositionClose:
            return_value={"output": {"last": str(current_price), "rate": "0.0"}}
        )
        ob.get_overseas_balance = AsyncMock(return_value=balance_data)
+        ob.get_overseas_buying_power = AsyncMock(
+            return_value={"output": {"ovrs_ord_psbl_amt": "0.00"}}
+        )
        ob.send_overseas_order = AsyncMock(return_value=sell_result)
        return ob

@@ -4811,7 +5033,7 @@ class TestOverseasGhostPositionClose:
            "output1": [
                {"ovrs_pdno": stock_code, "ord_psbl_qty": "5", "ovrs_cblc_qty": "5"}
            ],
-            "output2": [{"tot_evlu_amt": "10000", "frcr_dncl_amt_2": "10000"}],
+            "output2": [{"tot_evlu_amt": "10000"}],
        }
        sell_result = {"rt_cd": "1", "msg1": "모의투자 잔고내역이 없습니다"}

@@ -4887,7 +5109,7 @@ class TestOverseasGhostPositionClose:
        current_price = 250.0
        balance_data = {
            "output1": [{"ovrs_pdno": stock_code, "ord_psbl_qty": "5", "ovrs_cblc_qty": "5"}],
-            "output2": [{"tot_evlu_amt": "100000", "frcr_dncl_amt_2": "100000"}],
+            "output2": [{"tot_evlu_amt": "100000"}],
        }
        sell_result = {"rt_cd": "1", "msg1": "일시적 오류가 발생했습니다"}

@@ -4946,3 +5168,417 @@ class TestOverseasGhostPositionClose:
            and "[ghost-close]" in (c.kwargs.get("rationale") or "")
        ]
        assert not ghost_close_calls, "Ghost-close must NOT be triggered for non-잔고없음 errors"
+
+
+@pytest.mark.asyncio
+async def test_kill_switch_block_skips_actionable_order_execution() -> None:
+    """Active kill-switch must prevent actionable order execution."""
+    db_conn = init_db(":memory:")
+    decision_logger = DecisionLogger(db_conn)
+
+    broker = MagicMock()
+    broker.get_current_price = AsyncMock(return_value=(100.0, 0.5, 0.0))
+    broker.get_balance = AsyncMock(
+        return_value={
+            "output1": [],
+            "output2": [
+                {
+                    "tot_evlu_amt": "100000",
+                    "dnca_tot_amt": "50000",
+                    "pchs_amt_smtl_amt": "50000",
+                }
+            ],
+        }
+    )
+    broker.send_order = AsyncMock(return_value={"msg1": "OK"})
+
+    market = MagicMock()
+    market.name = "Korea"
+    market.code = "KR"
+    market.exchange_code = "KRX"
+    market.is_domestic = True
+
+    telegram = MagicMock()
+    telegram.notify_trade_execution = AsyncMock()
+    telegram.notify_fat_finger = AsyncMock()
+    telegram.notify_circuit_breaker = AsyncMock()
+    telegram.notify_scenario_matched = AsyncMock()
+
+    settings = MagicMock()
+    settings.POSITION_SIZING_ENABLED = False
+    settings.CONFIDENCE_THRESHOLD = 80
+
+    try:
+        KILL_SWITCH.new_orders_blocked = True
+        await trading_cycle(
+            broker=broker,
+            overseas_broker=MagicMock(),
+            scenario_engine=MagicMock(evaluate=MagicMock(return_value=_make_buy_match())),
+            playbook=_make_playbook(),
+            risk=MagicMock(),
+            db_conn=db_conn,
+            decision_logger=decision_logger,
+            context_store=MagicMock(
+                get_latest_timeframe=MagicMock(return_value=None),
+                set_context=MagicMock(),
+            ),
+            criticality_assessor=MagicMock(
+                assess_market_conditions=MagicMock(return_value=MagicMock(value="NORMAL")),
+                get_timeout=MagicMock(return_value=5.0),
+            ),
+            telegram=telegram,
+            market=market,
+            stock_code="005930",
+            scan_candidates={},
+            settings=settings,
+        )
+    finally:
+        KILL_SWITCH.clear_block()
+
+    broker.send_order.assert_not_called()
+
+
+@pytest.mark.asyncio
+async def test_order_policy_rejection_skips_order_execution() -> None:
+    """Order policy rejection must prevent order submission."""
+    db_conn = init_db(":memory:")
+    decision_logger = DecisionLogger(db_conn)
+
+    broker = MagicMock()
+    broker.get_current_price = AsyncMock(return_value=(100.0, 0.5, 0.0))
+    broker.get_balance = AsyncMock(
+        return_value={
+            "output1": [],
+            "output2": [
+                {
+                    "tot_evlu_amt": "100000",
+                    "dnca_tot_amt": "50000",
+                    "pchs_amt_smtl_amt": "50000",
+                }
+            ],
+        }
+    )
+    broker.send_order = AsyncMock(return_value={"msg1": "OK"})
+
+    market = MagicMock()
+    market.name = "Korea"
+    market.code = "KR"
+    market.exchange_code = "KRX"
+    market.is_domestic = True
+
+    telegram = MagicMock()
+    telegram.notify_trade_execution = AsyncMock()
+    telegram.notify_fat_finger = AsyncMock()
+    telegram.notify_circuit_breaker = AsyncMock()
+    telegram.notify_scenario_matched = AsyncMock()
+
+    settings = MagicMock()
+    settings.POSITION_SIZING_ENABLED = False
+    settings.CONFIDENCE_THRESHOLD = 80
+
+    with patch(
+        "src.main.validate_order_policy",
+        side_effect=OrderPolicyRejected(
+            "rejected",
+            session_id="NXT_AFTER",
+            market_code="KR",
+        ),
+    ):
+        await trading_cycle(
+            broker=broker,
+            overseas_broker=MagicMock(),
+            scenario_engine=MagicMock(evaluate=MagicMock(return_value=_make_buy_match())),
+            playbook=_make_playbook(),
+            risk=MagicMock(),
+            db_conn=db_conn,
+            decision_logger=decision_logger,
+            context_store=MagicMock(
+                get_latest_timeframe=MagicMock(return_value=None),
+                set_context=MagicMock(),
+            ),
+            criticality_assessor=MagicMock(
+                assess_market_conditions=MagicMock(return_value=MagicMock(value="NORMAL")),
+                get_timeout=MagicMock(return_value=5.0),
+            ),
+            telegram=telegram,
+            market=market,
+            stock_code="005930",
+            scan_candidates={},
+            settings=settings,
+        )
+
+    broker.send_order.assert_not_called()
+
+
+@pytest.mark.asyncio
+async def test_blackout_queues_order_and_skips_submission() -> None:
+    """When blackout is active, order submission is replaced by queueing."""
+    db_conn = init_db(":memory:")
+    decision_logger = DecisionLogger(db_conn)
+
+    broker = MagicMock()
+    broker.get_current_price = AsyncMock(return_value=(100.0, 0.5, 0.0))
+    broker.get_balance = AsyncMock(
+        return_value={
+            "output1": [],
+            "output2": [
+                {
+                    "tot_evlu_amt": "100000",
+                    "dnca_tot_amt": "50000",
+                    "pchs_amt_smtl_amt": "50000",
+                }
+            ],
+        }
+    )
+    broker.send_order = AsyncMock(return_value={"msg1": "OK"})
+
+    market = MagicMock()
+    market.name = "Korea"
+    market.code = "KR"
+    market.exchange_code = "KRX"
+    market.is_domestic = True
+
+    settings = MagicMock()
+    settings.POSITION_SIZING_ENABLED = False
+    settings.CONFIDENCE_THRESHOLD = 80
+
+    telegram = MagicMock()
+    telegram.notify_trade_execution = AsyncMock()
+    telegram.notify_fat_finger = AsyncMock()
+    telegram.notify_circuit_breaker = AsyncMock()
+    telegram.notify_scenario_matched = AsyncMock()
+
+    blackout_manager = MagicMock()
+    blackout_manager.in_blackout.return_value = True
+    blackout_manager.enqueue.return_value = True
+    blackout_manager.pending_count = 1
+
+    with patch("src.main.BLACKOUT_ORDER_MANAGER", blackout_manager):
+        await trading_cycle(
+            broker=broker,
+            overseas_broker=MagicMock(),
+            scenario_engine=MagicMock(evaluate=MagicMock(return_value=_make_buy_match())),
+            playbook=_make_playbook(),
+            risk=MagicMock(),
+            db_conn=db_conn,
+            decision_logger=decision_logger,
+            context_store=MagicMock(
+                get_latest_timeframe=MagicMock(return_value=None),
+                set_context=MagicMock(),
+            ),
+            criticality_assessor=MagicMock(
+                assess_market_conditions=MagicMock(return_value=MagicMock(value="NORMAL")),
+                get_timeout=MagicMock(return_value=5.0),
+            ),
+            telegram=telegram,
+            market=market,
+            stock_code="005930",
+            scan_candidates={},
+            settings=settings,
+        )
+
+    broker.send_order.assert_not_called()
+    blackout_manager.enqueue.assert_called_once()
+
+
+@pytest.mark.asyncio
+async def test_process_blackout_recovery_executes_valid_intents() -> None:
+    """Recovery must execute queued intents that pass revalidation."""
+    db_conn = init_db(":memory:")
+    broker = MagicMock()
+    broker.send_order = AsyncMock(return_value={"rt_cd": "0", "msg1": "OK"})
+    overseas_broker = MagicMock()
+
+    market = MagicMock()
+    market.code = "KR"
+    market.exchange_code = "KRX"
+    market.is_domestic = True
+
+    intent = MagicMock()
+    intent.market_code = "KR"
+    intent.stock_code = "005930"
+    intent.order_type = "BUY"
+    intent.quantity = 1
+    intent.price = 100.0
+    intent.source = "test"
+    intent.attempts = 0
+
+    blackout_manager = MagicMock()
+    blackout_manager.pop_recovery_batch.return_value = [intent]
+
+    with (
+        patch("src.main.BLACKOUT_ORDER_MANAGER", blackout_manager),
+        patch("src.main.MARKETS", {"KR": market}),
+        patch("src.main.get_open_position", return_value=None),
+        patch("src.main.validate_order_policy"),
+    ):
+        await process_blackout_recovery_orders(
+            broker=broker,
+            overseas_broker=overseas_broker,
+            db_conn=db_conn,
+        )
+
+    broker.send_order.assert_called_once()
+
+
+@pytest.mark.asyncio
+async def test_process_blackout_recovery_drops_policy_rejected_intent() -> None:
+    """Policy-rejected queued intents must not be requeued."""
+    db_conn = init_db(":memory:")
+    broker = MagicMock()
+    broker.send_order = AsyncMock(return_value={"rt_cd": "0", "msg1": "OK"})
+    overseas_broker = MagicMock()
+
+    market = MagicMock()
+    market.code = "KR"
+    market.exchange_code = "KRX"
+    market.is_domestic = True
+
+    intent = MagicMock()
+    intent.market_code = "KR"
+    intent.stock_code = "005930"
+    intent.order_type = "BUY"
+    intent.quantity = 1
+    intent.price = 100.0
+    intent.source = "test"
+    intent.attempts = 0
+
+    blackout_manager = MagicMock()
+    blackout_manager.pop_recovery_batch.return_value = [intent]
+
+    with (
+        patch("src.main.BLACKOUT_ORDER_MANAGER", blackout_manager),
+        patch("src.main.MARKETS", {"KR": market}),
+        patch("src.main.get_open_position", return_value=None),
+        patch(
+            "src.main.validate_order_policy",
+            side_effect=OrderPolicyRejected(
+                "blocked",
+                session_id="NXT_AFTER",
+                market_code="KR",
+            ),
+        ),
+    ):
+        await process_blackout_recovery_orders(
+            broker=broker,
+            overseas_broker=overseas_broker,
+            db_conn=db_conn,
+        )
+
+    broker.send_order.assert_not_called()
+    blackout_manager.requeue.assert_not_called()
+
+
+@pytest.mark.asyncio
+async def test_trigger_emergency_kill_switch_executes_operational_steps() -> None:
+    """Emergency kill switch should execute cancel/refresh/reduce/notify callbacks."""
+    broker = MagicMock()
+    broker.get_domestic_pending_orders = AsyncMock(
+        return_value=[
+            {
+                "pdno": "005930",
+                "orgn_odno": "1",
+                "ord_gno_brno": "01",
+                "psbl_qty": "3",
+            }
+        ]
+    )
+    broker.cancel_domestic_order = AsyncMock(return_value={"rt_cd": "0"})
+    broker.get_balance = AsyncMock(return_value={"output1": [], "output2": []})
+
+    overseas_broker = MagicMock()
+    overseas_broker.get_overseas_pending_orders = AsyncMock(return_value=[])
+    overseas_broker.get_overseas_balance = AsyncMock(return_value={"output1": [], "output2": []})
+
+    telegram = MagicMock()
+    telegram.notify_circuit_breaker = AsyncMock()
+
+    settings = MagicMock()
+    settings.enabled_market_list = ["KR"]
+
+    market = MagicMock()
+    market.code = "KR"
+    market.exchange_code = "KRX"
+    market.is_domestic = True
+
+    with (
+        patch("src.main.MARKETS", {"KR": market}),
+        patch("src.main.BLACKOUT_ORDER_MANAGER.clear", return_value=2),
+    ):
+        report = await _trigger_emergency_kill_switch(
+            reason="test",
+            broker=broker,
+            overseas_broker=overseas_broker,
+            telegram=telegram,
+            settings=settings,
+            current_market=market,
+            stock_code="005930",
+            pnl_pct=-3.2,
+            threshold=-3.0,
+        )
+
+    assert report.steps == [
+        "block_new_orders",
+        "cancel_pending_orders",
+        "refresh_order_state",
+        "reduce_risk",
+        "snapshot_state",
+        "notify",
+    ]
+    broker.cancel_domestic_order.assert_called_once()
+    broker.get_balance.assert_called_once()
+    telegram.notify_circuit_breaker.assert_called_once_with(
+        pnl_pct=-3.2,
+        threshold=-3.0,
+    )
+
+
+@pytest.mark.asyncio
+async def test_trigger_emergency_kill_switch_records_cancel_failure() -> None:
+    """Cancel API rejection should be captured in kill switch errors."""
+    broker = MagicMock()
+    broker.get_domestic_pending_orders = AsyncMock(
+        return_value=[
+            {
+                "pdno": "005930",
+                "orgn_odno": "1",
+                "ord_gno_brno": "01",
+                "psbl_qty": "3",
+            }
+        ]
+    )
+    broker.cancel_domestic_order = AsyncMock(return_value={"rt_cd": "1", "msg1": "fail"})
+    broker.get_balance = AsyncMock(return_value={"output1": [], "output2": []})
+
+    overseas_broker = MagicMock()
+    overseas_broker.get_overseas_pending_orders = AsyncMock(return_value=[])
+    overseas_broker.get_overseas_balance = AsyncMock(return_value={"output1": [], "output2": []})
+
+    telegram = MagicMock()
+    telegram.notify_circuit_breaker = AsyncMock()
+
+    settings = MagicMock()
+    settings.enabled_market_list = ["KR"]
+
+    market = MagicMock()
+    market.code = "KR"
+    market.exchange_code = "KRX"
+    market.is_domestic = True
+
+    with (
+        patch("src.main.MARKETS", {"KR": market}),
+        patch("src.main.BLACKOUT_ORDER_MANAGER.clear", return_value=0),
+    ):
+        report = await _trigger_emergency_kill_switch(
+            reason="test-fail",
+            broker=broker,
+            overseas_broker=overseas_broker,
+            telegram=telegram,
+            settings=settings,
+            current_market=market,
+            stock_code="005930",
+            pnl_pct=-3.2,
+            threshold=-3.0,
+        )
+
+    assert any(err.startswith("cancel_pending_orders:") for err in report.errors)
--- a/tests/test_order_policy.py
+++ b/tests/test_order_policy.py
@@ -0,0 +1,40 @@
+from datetime import UTC, datetime
+
+import pytest
+
+from src.core.order_policy import OrderPolicyRejected, classify_session_id, validate_order_policy
+from src.markets.schedule import MARKETS
+
+
+def test_classify_kr_nxt_after() -> None:
+    # 2026-02-26 16:00 KST == 07:00 UTC
+    now = datetime(2026, 2, 26, 7, 0, tzinfo=UTC)
+    assert classify_session_id(MARKETS["KR"], now) == "NXT_AFTER"
+
+
+def test_classify_us_pre() -> None:
+    # 2026-02-26 19:00 KST == 10:00 UTC
+    now = datetime(2026, 2, 26, 10, 0, tzinfo=UTC)
+    assert classify_session_id(MARKETS["US_NASDAQ"], now) == "US_PRE"
+
+
+def test_reject_market_order_in_low_liquidity_session() -> None:
+    now = datetime(2026, 2, 26, 10, 0, tzinfo=UTC)  # 19:00 KST -> US_PRE
+    with pytest.raises(OrderPolicyRejected):
+        validate_order_policy(
+            market=MARKETS["US_NASDAQ"],
+            order_type="BUY",
+            price=0.0,
+            now=now,
+        )
+
+
+def test_allow_limit_order_in_low_liquidity_session() -> None:
+    now = datetime(2026, 2, 26, 10, 0, tzinfo=UTC)  # 19:00 KST -> US_PRE
+    info = validate_order_policy(
+        market=MARKETS["US_NASDAQ"],
+        order_type="BUY",
+        price=100.0,
+        now=now,
+    )
+    assert info.session_id == "US_PRE"
--- a/tests/test_strategy_exit_rules.py
+++ b/tests/test_strategy_exit_rules.py
@@ -0,0 +1,38 @@
+from src.strategy.exit_rules import ExitRuleConfig, ExitRuleInput, evaluate_exit
+from src.strategy.position_state_machine import PositionState
+
+
+def test_hard_stop_exit() -> None:
+    out = evaluate_exit(
+        current_state=PositionState.HOLDING,
+        config=ExitRuleConfig(hard_stop_pct=-2.0, arm_pct=3.0),
+        inp=ExitRuleInput(current_price=97.0, entry_price=100.0, peak_price=100.0),
+    )
+    assert out.should_exit is True
+    assert out.reason == "hard_stop"
+
+
+def test_take_profit_exit_for_backward_compatibility() -> None:
+    out = evaluate_exit(
+        current_state=PositionState.HOLDING,
+        config=ExitRuleConfig(hard_stop_pct=-2.0, arm_pct=3.0),
+        inp=ExitRuleInput(current_price=104.0, entry_price=100.0, peak_price=104.0),
+    )
+    assert out.should_exit is True
+    assert out.reason == "arm_take_profit"
+
+
+def test_model_assist_exit_signal() -> None:
+    out = evaluate_exit(
+        current_state=PositionState.ARMED,
+        config=ExitRuleConfig(model_prob_threshold=0.62, arm_pct=10.0),
+        inp=ExitRuleInput(
+            current_price=101.0,
+            entry_price=100.0,
+            peak_price=105.0,
+            pred_down_prob=0.8,
+            liquidity_weak=True,
+        ),
+    )
+    assert out.should_exit is True
+    assert out.reason == "model_liquidity_exit"
--- a/tests/test_strategy_state_machine.py
+++ b/tests/test_strategy_state_machine.py
@@ -0,0 +1,30 @@
+from src.strategy.position_state_machine import (
+    PositionState,
+    StateTransitionInput,
+    promote_state,
+)
+
+
+def test_gap_jump_promotes_to_armed_directly() -> None:
+    state = promote_state(
+        PositionState.HOLDING,
+        StateTransitionInput(
+            unrealized_pnl_pct=4.0,
+            be_arm_pct=1.2,
+            arm_pct=2.8,
+        ),
+    )
+    assert state == PositionState.ARMED
+
+
+def test_exited_has_priority_over_promotion() -> None:
+    state = promote_state(
+        PositionState.HOLDING,
+        StateTransitionInput(
+            unrealized_pnl_pct=5.0,
+            be_arm_pct=1.2,
+            arm_pct=2.8,
+            hard_stop_hit=True,
+        ),
+    )
+    assert state == PositionState.EXITED
--- a/tests/test_triple_barrier.py
+++ b/tests/test_triple_barrier.py
@@ -0,0 +1,131 @@
+from __future__ import annotations
+
+from src.analysis.triple_barrier import TripleBarrierSpec, label_with_triple_barrier
+
+
+def test_long_take_profit_first() -> None:
+    highs = [100, 101, 103]
+    lows = [100, 99.6, 100]
+    closes = [100, 100, 102]
+    spec = TripleBarrierSpec(take_profit_pct=0.02, stop_loss_pct=0.01, max_holding_bars=3)
+    out = label_with_triple_barrier(
+        highs=highs,
+        lows=lows,
+        closes=closes,
+        entry_index=0,
+        side=1,
+        spec=spec,
+    )
+    assert out.label == 1
+    assert out.touched == "take_profit"
+    assert out.touch_bar == 2
+
+
+def test_long_stop_loss_first() -> None:
+    highs = [100, 100.5, 101]
+    lows = [100, 98.8, 99]
+    closes = [100, 99.5, 100]
+    spec = TripleBarrierSpec(take_profit_pct=0.02, stop_loss_pct=0.01, max_holding_bars=3)
+    out = label_with_triple_barrier(
+        highs=highs,
+        lows=lows,
+        closes=closes,
+        entry_index=0,
+        side=1,
+        spec=spec,
+    )
+    assert out.label == -1
+    assert out.touched == "stop_loss"
+    assert out.touch_bar == 1
+
+
+def test_time_barrier_timeout() -> None:
+    highs = [100, 100.8, 100.7]
+    lows = [100, 99.3, 99.4]
+    closes = [100, 100, 100]
+    spec = TripleBarrierSpec(take_profit_pct=0.02, stop_loss_pct=0.02, max_holding_bars=2)
+    out = label_with_triple_barrier(
+        highs=highs,
+        lows=lows,
+        closes=closes,
+        entry_index=0,
+        side=1,
+        spec=spec,
+    )
+    assert out.label == 0
+    assert out.touched == "time"
+    assert out.touch_bar == 2
+
+
+def test_tie_break_stop_first_default() -> None:
+    highs = [100, 102.1]
+    lows = [100, 98.9]
+    closes = [100, 100]
+    spec = TripleBarrierSpec(take_profit_pct=0.02, stop_loss_pct=0.01, max_holding_bars=1)
+    out = label_with_triple_barrier(
+        highs=highs,
+        lows=lows,
+        closes=closes,
+        entry_index=0,
+        side=1,
+        spec=spec,
+    )
+    assert out.label == -1
+    assert out.touched == "stop_loss"
+
+
+def test_short_side_inverts_barrier_semantics() -> None:
+    highs = [100, 100.5, 101.2]
+    lows = [100, 97.8, 98.0]
+    closes = [100, 99, 99]
+    spec = TripleBarrierSpec(take_profit_pct=0.02, stop_loss_pct=0.01, max_holding_bars=3)
+    out = label_with_triple_barrier(
+        highs=highs,
+        lows=lows,
+        closes=closes,
+        entry_index=0,
+        side=-1,
+        spec=spec,
+    )
+    assert out.label == 1
+    assert out.touched == "take_profit"
+
+
+def test_short_tie_break_modes() -> None:
+    highs = [100, 101.1]
+    lows = [100, 97.9]
+    closes = [100, 100]
+
+    stop_first = TripleBarrierSpec(
+        take_profit_pct=0.02,
+        stop_loss_pct=0.01,
+        max_holding_bars=1,
+        tie_break="stop_first",
+    )
+    out_stop = label_with_triple_barrier(
+        highs=highs,
+        lows=lows,
+        closes=closes,
+        entry_index=0,
+        side=-1,
+        spec=stop_first,
+    )
+    assert out_stop.label == -1
+    assert out_stop.touched == "stop_loss"
+
+    take_first = TripleBarrierSpec(
+        take_profit_pct=0.02,
+        stop_loss_pct=0.01,
+        max_holding_bars=1,
+        tie_break="take_first",
+    )
+    out_take = label_with_triple_barrier(
+        highs=highs,
+        lows=lows,
+        closes=closes,
+        entry_index=0,
+        side=-1,
+        spec=take_first,
+    )
+    assert out_take.label == 1
+    assert out_take.touched == "take_profit"
--- a/tests/test_walk_forward_split.py
+++ b/tests/test_walk_forward_split.py
@@ -0,0 +1,92 @@
+from __future__ import annotations
+
+import pytest
+
+from src.analysis.walk_forward_split import generate_walk_forward_splits
+
+
+def test_generates_sequential_folds() -> None:
+    folds = generate_walk_forward_splits(
+        n_samples=30,
+        train_size=10,
+        test_size=5,
+    )
+    assert len(folds) == 4
+    assert folds[0].train_indices == list(range(0, 10))
+    assert folds[0].test_indices == list(range(10, 15))
+    assert folds[1].train_indices == list(range(5, 15))
+    assert folds[1].test_indices == list(range(15, 20))
+
+
+def test_purge_removes_boundary_samples_before_test() -> None:
+    folds = generate_walk_forward_splits(
+        n_samples=25,
+        train_size=8,
+        test_size=4,
+        purge_size=2,
+    )
+    first = folds[0]
+    # test starts at 10, purge=2 => train end must be 7
+    assert first.train_indices == list(range(0, 8))
+    assert first.test_indices == list(range(10, 14))
+
+
+def test_embargo_excludes_post_test_samples_from_next_train() -> None:
+    folds = generate_walk_forward_splits(
+        n_samples=45,
+        train_size=15,
+        test_size=5,
+        step_size=10,
+        embargo_size=3,
+    )
+    assert len(folds) >= 2
+    # Fold1 test: 15..19, next fold train window: 10..24.
+    # embargo_size=3 should remove 20,21,22 from fold2 train.
+    second_train = folds[1].train_indices
+    assert 20 not in second_train
+    assert 21 not in second_train
+    assert 22 not in second_train
+    assert 23 in second_train
+
+
+def test_respects_min_train_size_and_returns_empty_when_impossible() -> None:
+    folds = generate_walk_forward_splits(
+        n_samples=15,
+        train_size=5,
+        test_size=5,
+        min_train_size=6,
+    )
+    assert folds == []
+
+
+def test_embargo_uses_last_accepted_fold_when_intermediate_fold_skips() -> None:
+    folds = generate_walk_forward_splits(
+        n_samples=30,
+        train_size=5,
+        test_size=3,
+        step_size=5,
+        embargo_size=1,
+        min_train_size=5,
+    )
+    # 1st fold accepted, 2nd skipped by min_train_size, subsequent folds still generated.
+    assert len(folds) == 3
+    assert folds[0].test_indices == [5, 6, 7]
+    assert folds[1].test_indices == [15, 16, 17]
+    assert folds[2].test_indices == [25, 26, 27]
+
+
+@pytest.mark.parametrize(
+    ("n_samples", "train_size", "test_size"),
+    [
+        (0, 10, 2),
+        (10, 0, 2),
+        (10, 5, 0),
+    ],
+)
+def test_invalid_args_raise(n_samples: int, train_size: int, test_size: int) -> None:
+    with pytest.raises(ValueError):
+        generate_walk_forward_splits(
+            n_samples=n_samples,
+            train_size=train_size,
+            test_size=test_size,
+        )
--- a/workflow/issue-271-runlog.md
+++ b/workflow/issue-271-runlog.md
@@ -0,0 +1,37 @@
+# Issue #271 Workflow Run Log
+
+## 2026-02-26
+
+### Step 1: Gitea issue creation
+- Attempt 1: Succeeded, but formatting degraded
+  - Command style: `tea issues create -t ... -d "...\n..."`
+  - Symptom: Issue body rendered literal `\n` text in web UI instead of line breaks
+- Root cause
+  - `tea` does not provide `--description-file`
+  - Shell-escaped `\n` inside double quotes is passed as backslash+n text
+- Resolution
+  - Build body with heredoc and pass as variable (`-d "$ISSUE_BODY"`)
+
+### Step 2: PR description creation
+- Attempt 1: Succeeded, but same newline rendering risk detected
+- Resolution
+  - Same heredoc variable pattern applied for PR body (`--description "$PR_BODY"`)
+
+### Preventive Action
+- `docs/workflow.md` updated with "Gitea CLI Formatting Troubleshooting" section
+- Standard command templates added for issues and PRs
+
+### Reusable Safe Template
+```bash
+ISSUE_BODY=$(cat <<'EOF'
+## Summary
+- item A
+- item B
+
+## Scope
+- docs only
+EOF
+)
+
+tea issues create -t "title" -d "$ISSUE_BODY"
+```
Author	SHA1	Message	Date
agentson	34cf081c96	fix: backfill split pnl migration and harden partial pnl inputs	2026-02-27 08:46:22 +09:00
agentson	7bc4e88335	feat: separate strategy and fx pnl fields in trade logs (TASK-CODE-011)	2026-02-27 08:44:05 +09:00
agentson	386e039ff6	Merge pull request '[BACKTEST-MODEL] TKT-P1-005 보수적 체결 모델 구현' (#294 ) from feature/issue-tkt-p1-005-conservative-fill-model into feature/v3-session-policy-stream	2026-02-27 08:42:22 +09:00
agentson	13ba9e8081	fix: validate execution assumption ranges in backtest model	2026-02-27 08:41:56 +09:00
agentson	5b52f593a8	feat: add conservative backtest execution simulator (TASK-CODE-010)	2026-02-27 08:40:23 +09:00
agentson	2798558bf3	Merge pull request '[BACKTEST-MODEL] TKT-P1-002 백테스트 비용/슬리피지 옵션 필수화' (#292 ) from feature/issue-tkt-p1-002-backtest-cost-mandatory into feature/v3-session-policy-stream	2026-02-27 08:37:15 +09:00
agentson	2331d80915	fix: reject non-finite backtest cost assumptions	2026-02-27 08:36:38 +09:00
agentson	7d72669cb8	feat: enforce mandatory backtest cost assumptions (TASK-CODE-006)	2026-02-27 08:34:44 +09:00
agentson	74a4784b7a	Merge pull request '[BACKTEST-MODEL] TKT-P1-004 Walk-forward + Purge/Embargo 분할 유틸' (#290 ) from feature/issue-tkt-p1-004-walkforward-purge-embargo into feature/v3-session-policy-stream	2026-02-27 08:33:01 +09:00
agentson	dc70311aed	fix: keep embargo tied to accepted folds and enforce PR-comment decision logs	2026-02-27 08:32:09 +09:00
agentson	e56819e9e2	feat: add walk-forward splitter with purge and embargo controls (TASK-CODE-005)	2026-02-27 08:28:11 +09:00
agentson	cfd5351b58	Merge pull request '[FX-ACCOUNTING] TKT-P1-001 USD/KRW 버퍼 진입 제한' (#288 ) from feature/issue-tkt-p1-001-fx-buffer-guard into feature/v3-session-policy-stream	2026-02-27 00:53:21 +09:00
agentson	b206c23fc9	fix: scope USD buffer guard to US markets and add boundary tests	2026-02-27 00:52:44 +09:00
agentson	4d9f3e2cfc	feat: enforce overseas buy guard with USD buffer threshold (TASK-V3-014)	2026-02-27 00:50:12 +09:00
agentson	a93a5c616b	Merge pull request '[BACKTEST-MODEL] TKT-P1-003 Triple Barrier 라벨러 구현' (#286 ) from feature/issue-tkt-p1-003-triple-barrier-labeler into feature/v3-session-policy-stream	2026-02-27 00:47:37 +09:00
agentson	9f64c9944a	fix: correct short-side tie-break semantics in triple barrier	2026-02-27 00:47:09 +09:00
agentson	bb391d502c	feat: add triple barrier labeler with first-touch logic (TASK-CODE-004)	2026-02-27 00:45:18 +09:00
agentson	b0100fde10	Merge pull request '[RISK-EMERGENCY][SCN-FAIL-003] TKT-P0-002 Kill Switch 순서 강제 검증 자동화' (#284 ) from feature/issue-tkt-p0-002-killswitch-ordering into feature/v3-session-policy-stream	2026-02-27 00:42:16 +09:00
agentson	0a4e69d40c	fix: record kill switch cancel failures and add failure-path tests	2026-02-27 00:41:13 +09:00
agentson	25401ac132	feat: enforce operational kill switch callbacks in runtime flow (TASK-CODE-003)	2026-02-27 00:38:26 +09:00
agentson	1381b140ab	Merge pull request '[EXEC-POLICY][SCN-FAIL-001] TKT-P0-001 블랙아웃 차단/큐/복구 재검증' (#282 ) from feature/issue-tkt-p0-001-blackout-queue-revalidate into feature/v3-session-policy-stream	2026-02-27 00:32:59 +09:00
agentson	356d085ab0	feat: implement blackout queue and recovery revalidation (TASK-CODE-008)	2026-02-27 00:31:29 +09:00
agentson	54d6cc3d7c	Merge pull request 'docs: feature-branch 팀 운영 규칙 및 모니터링 검증 게이트 반영 (#279 )' (#280 ) from feature/issue-279-session-order-policy-guard into feature/v3-session-policy-stream	2026-02-27 00:19:55 +09:00
agentson	3ffad58d57	docs: allow ticket->feature merges without user approval; keep main gated (#279 )	2026-02-27 00:19:51 +09:00
agentson	df6baee7f1	feat: add session-aware order policy guard for low-liquidity market-order rejection (#279 )	2026-02-27 00:13:47 +09:00
agentson	c31a6a569d	docs: enforce feature-branch team flow and mandatory runtime monitoring validation (#279 )	2026-02-27 00:05:01 +09:00
agentson	990f9696ab	Merge pull request 'docs: TPM 티켓 우선순위/메인 아이디에이션/무머지 세션 규칙 반영 (#277 )' (#278 ) from feature/issue-277-tpm-priority-main-ideation-no-merge-session into main Some checks are pending CI / test (push) Waiting to run Details	2026-02-26 23:58:03 +09:00
agentson	9bf72c63ec	docs: clarify no-merge-by-default server reflection rule (#277 ) Some checks are pending CI / test (pull_request) Waiting to run Details	2026-02-26 23:57:58 +09:00
agentson	1399fa4d09	docs: enforce TPM ticket ownership and add main-agent ideation backlog (#277 ) Some checks are pending CI / test (pull_request) Waiting to run Details	2026-02-26 23:56:25 +09:00
agentson	f63fb53289	Merge pull request 'feat: phase1 상태기계/청산엔진/kill-switch 구현 (#275 )' (#276 ) from feature/issue-275-phase1-state-exit-killswitch into main Some checks failed CI / test (push) Has been cancelled Details	2026-02-26 23:46:11 +09:00
agentson	5050a4cf84	fix: address reviewer feedback for kill-switch enforcement and observability (#275 ) Some checks are pending CI / test (pull_request) Waiting to run Details	2026-02-26 23:46:02 +09:00
agentson	4987b6393a	feat: implement phase1 state machine, composite exits, and kill-switch orchestration (#275 ) Some checks are pending CI / test (pull_request) Waiting to run Details	2026-02-26 23:22:58 +09:00
jihoson	8faf974522	Merge pull request 'docs: multi-agent governance 운영 체계 반영 (#273 )' (#274 ) from feature/issue-273-multi-agent-governance-docs into main Some checks failed CI / test (push) Has been cancelled Details Reviewed-on: #274	2026-02-26 23:19:11 +09:00
agentson	d524159ad0	docs: add runtime verifier role and replan escalation protocol (#273 ) Some checks failed CI / test (pull_request) Has been cancelled Details	2026-02-26 23:16:44 +09:00
agentson	c7c740f446	docs: add repository enforcement checklist for strict governance (#273 ) Some checks failed CI / test (pull_request) Has been cancelled Details	2026-02-26 23:08:16 +09:00
agentson	1333c65455	docs: add PM/TPM governance artifacts for multi-agent control (#273 ) Some checks failed CI / test (pull_request) Has been cancelled Details	2026-02-26 23:06:51 +09:00
jihoson	9db7f903f8	Merge pull request 'docs: ouroboros 실행 지시서/검증 시스템 반영 (#271 )' (#272 ) from feature/issue-271-docs-routing-validation into main Some checks failed CI / test (push) Has been cancelled Details Reviewed-on: #272	2026-02-26 22:56:17 +09:00
agentson	4660310ee4	docs: add tea newline troubleshooting and runlog (#271 ) Some checks failed CI / test (pull_request) Has been cancelled Details	2026-02-26 22:52:56 +09:00
agentson	c383a411ff	docs: add ouroboros execution routing and validation system (#271 ) Some checks failed CI / test (pull_request) Has been cancelled Details	2026-02-26 22:49:21 +09:00
jihoson	7b3ba27ef7	Merge pull request 'fix: 해외 매수가능금액 ord_psbl_frcr_amt → ovrs_ord_psbl_amt 교체 (#269 )' (#270 ) from feature/issue-269-overseas-cash-ovrs-ord-psbl-amt into main Some checks failed CI / test (push) Has been cancelled Details Reviewed-on: #270	2026-02-26 02:01:57 +09:00
agentson	6ff887c047	fix: 해외 매수가능금액 ord_psbl_frcr_amt → ovrs_ord_psbl_amt 교체 (#269 ) Some checks failed CI / test (pull_request) Has been cancelled Details 외화 예수금만 반영하는 ord_psbl_frcr_amt 대신 미결제 매도 대금(sll_ruse_psbl_amt)을 포함하는 ovrs_ord_psbl_amt (앱 '외화' 기준 통합 주문가능금액)를 사용하도록 수정. 실제 API 응답 확인: ord_psbl_frcr_amt = $139.25 (외화 예수금만) sll_ruse_psbl_amt = $7292.70 (미결제 매도 대금) ovrs_ord_psbl_amt = $7391.30 (합산, 원화 미포함) 원화 환산(frcr_ord_psbl_amt1)은 요구사항에 따라 사용하지 않음. 출처: KIS 공식문서(20260221) '해외주식 매수가능금액조회' 시트. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-02-26 02:01:13 +09:00
jihoson	219eef6388	Merge pull request 'fix: 로그 WARNING 2종 수정 - scanner 오해 메시지 및 홀딩 종목 rsi 누락 (#267 )' (#268 ) from feature/issue-267-fix-log-warnings into main Some checks failed CI / test (push) Has been cancelled Details Reviewed-on: #268	2026-02-26 01:46:43 +09:00
agentson	9d7ca12275	fix: 홀딩 종목 volume_ratio를 price API high/low 실데이터로 계산 (#267 ) Some checks failed CI / test (pull_request) Has been cancelled Details candidate 없는 해외 홀딩 종목(NVDA 등)에 대해 이미 호출된 get_overseas_price 응답의 high/low를 활용하여 scanner와 동일한 방식으로 volume_ratio 계산: intraday_range_pct = (high - low) / price * 100 volume_ratio = max(1.0, volatility_pct / 2.0) high/low 미제공 시(국내 종목, API 미응답) 기존 기본값 1.0 유지. implied_rsi는 이미 실API price_change_pct(rate 필드) 기반. tests/test_main.py: 해외 홀딩 종목 volume_ratio 계산 검증 테스트 추가 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-02-26 01:45:22 +09:00
agentson	ccb00ee77d	fix: 로그 WARNING 2종 수정 - scanner 오해 메시지 및 홀딩 종목 rsi 누락 (#267 ) Some checks failed CI / test (pull_request) Has been cancelled Details 1. WARNING → DEBUG: fallback_stocks 없어도 overseas ranking API로 scanner 정상 동작하므로 오해를 주는 WARNING 레벨을 DEBUG로 낮춤 (2곳) 2. 홀딩 종목 market_data 보강: scanner를 통하지 않은 종목(NVDA 등)에 price_change_pct 기반 implied_rsi와 volume_ratio=1.0 기본값 설정, scenario_engine 조건 평가 완전화 3. test_main.py: 새로운 동작에 맞게 관련 테스트 2개 업데이트 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-02-26 01:39:45 +09:00
jihoson	b1b728f62e	Merge pull request 'fix: 해외 cash=0.00 및 get_open_position HOLD 필터링 수정 (#264 , #265 )' (#266 ) from feature/issue-264-265-overseas-cash-and-open-position into main Some checks failed CI / test (push) Has been cancelled Details Reviewed-on: #266	2026-02-26 01:30:37 +09:00
agentson	df12be1305	fix: 해외 cash=0.00 및 get_open_position HOLD 필터링 수정 (#264 , #265 ) Some checks failed CI / test (pull_request) Has been cancelled Details ## 변경사항 ### #264 — 해외 매수가능금액 조회 API 교체 (frcr_dncl_amt_2 → inquire-psamount) - TTTS3012R (해외주식 잔고) output2에 frcr_dncl_amt_2 필드가 존재하지 않아 총 가용 현금이 항상 0.00으로 산출되는 문제 수정 - OverseasBroker에 get_overseas_buying_power() 메서드 추가 (TR_ID: 실전 TTTS3007R / 모의 VTTS3007R, ord_psbl_frcr_amt 반환) - main.py trading_cycle() 및 daily cycle 모두 수정 - 출처: 한국투자증권 오픈API 전체문서 (20260221) — 해외주식 매수가능금액조회 시트 ### #265 — get_open_position() HOLD 레코드 필터링 추가 - HOLD 결정도 trades 테이블에 저장되어 BUY 이후 HOLD 기록 시 최신 레코드가 HOLD → get_open_position이 None 반환하는 문제 수정 - 쿼리에 AND action IN ('BUY', 'SELL') 필터 추가 - HOLD 레코드를 제외하고 마지막 BUY/SELL 기록만 확인 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-02-26 01:29:46 +09:00