Merge pull request 'feat: integrate v2 backtest validation pipeline (#305)' (#313) from feature/issue-305-backtest-pipeline-integration into feature/v3-session-policy-stream

.gitea/ISSUE_TEMPLATE/runtime_verification.md

@@ -0,0 +1,41 @@
+---
+name: Runtime Verification Incident
+about: 실운영/스테이징 동작 검증 중 발견된 이상 징후 등록
+title: "[RUNTIME-VERIFY][SCN-XXX] "
+labels: runtime, verification
+---
+
+## Summary
+
+- 현상:
+- 최초 관측 시각(UTC):
+
+## Reproduction / Observation
+
+- 실행 모드(`live`/`paper`):
+- 세션(`NXT`, `US_PRE`, `US_DAY`, `US_AFTER`, ...):
+- 실행 커맨드:
+- 로그 경로:
+
+## Expected vs Actual
+
+- Expected:
+- Actual:
+
+## Requirement Mapping
+
+- REQ:
+- TASK:
+- TEST:
+
+## Temporary Mitigation
+
+- 즉시 완화책:
+
+## Close Criteria
+
+- [ ] Dev 수정 반영
+- [ ] Verifier 재검증 PASS
+- [ ] Runtime Verifier 재관측 PASS
+- [ ] `NOT_OBSERVED = 0`
+

.gitea/PULL_REQUEST_TEMPLATE.md

@@ -0,0 +1,53 @@
+## Linked Issue
+
+- Closes #N
+
+## Scope
+
+- REQ: `REQ-...`
+- TASK: `TASK-...`
+- TEST: `TEST-...`
+
+## Ticket Stage
+
+- Current stage: `Implemented` / `Integrated` / `Observed` / `Accepted`
+- Previous stage evidence link:
+
+## Main -> Verifier Directive Contract
+
+- Scope: 대상 요구사항/코드/로그 경로
+- Method: 실행 커맨드 + 관측 포인트
+- PASS criteria:
+- FAIL criteria:
+- NOT_OBSERVED criteria:
+- Evidence format: PR 코멘트 `Coverage Matrix`
+
+## Verifier Coverage Matrix (Required)
+
+| Item | Evidence | Status (PASS/FAIL/NOT_OBSERVED) |
+|---|---|---|
+| REQ-... | 링크/로그 | PASS |
+
+`NOT_OBSERVED`가 1개라도 있으면 승인/머지 금지.
+
+## Gitea Preflight
+
+- [ ] `docs/commands.md`와 `docs/workflow.md` 트러블슈팅 선확인
+- [ ] `tea` 사용 (`gh` 미사용)
+
+## Session Handover Gate
+
+- [ ] `python3 scripts/session_handover_check.py --strict` 통과
+- [ ] `workflow/session-handover.md` 최신 엔트리가 현재 브랜치/당일(UTC) 기준으로 갱신됨
+- 최신 handover 엔트리 heading:
+
+## Runtime Evidence
+
+- 시스템 실제 구동 커맨드:
+- 모니터링 로그 경로:
+- 이상 징후/이슈 링크:
+
+## Approval Gate
+
+- [ ] Static Verifier approval comment linked
+- [ ] Runtime Verifier approval comment linked

.gitea/workflows/ci.yml

@@ -0,0 +1,38 @@
+name: Gitea CI
+
+on:
+  pull_request:
+  push:
+    branches:
+      - main
+      - feature/**
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.11"
+
+      - name: Install dependencies
+        run: pip install ".[dev]"
+
+      - name: Session handover gate
+        run: python3 scripts/session_handover_check.py --strict
+
+      - name: Validate governance assets
+        run: python3 scripts/validate_governance_assets.py
+
+      - name: Validate Ouroboros docs
+        run: python3 scripts/validate_ouroboros_docs.py
+
+      - name: Lint
+        run: ruff check src/ tests/
+
+      - name: Run tests with coverage
+        run: pytest -v --cov=src --cov-report=term-missing --cov-fail-under=80

.github/workflows/ci.yml

@@ -21,6 +21,15 @@ jobs:
       - name: Install dependencies
         run: pip install ".[dev]"
 
+      - name: Session handover gate
+        run: python3 scripts/session_handover_check.py --strict
+
+      - name: Validate governance assets
+        run: python3 scripts/validate_governance_assets.py
+
+      - name: Validate Ouroboros docs
+        run: python3 scripts/validate_ouroboros_docs.py
+
       - name: Lint
         run: ruff check src/ tests/
 

docs/agent-constraints.md

@@ -12,6 +12,8 @@ It is distinct from `docs/requirements-log.md`, which records **project/product
 
 1. **Workflow enforcement**
    - Follow `docs/workflow.md` for all changes.
+   - Before any Gitea issue/PR/comment operation, read `docs/commands.md` and `docs/workflow.md` troubleshooting section.
+   - Use `tea` for Gitea operations; do not use GitHub CLI (`gh`) in this repository workflow.
    - Create a Gitea issue before any code or documentation change.
    - Work on a feature branch `feature/issue-{N}-{short-description}` and open a PR.
    - Never commit directly to `main`.
@@ -30,6 +32,16 @@ It is distinct from `docs/requirements-log.md`, which records **project/product
      (or in a dedicated policy doc) and reference it when working.
    - Keep entries short and concrete, with dates.
 
+5. **Session start handover gate**
+   - Before implementation/verification work, run `python3 scripts/session_handover_check.py --strict`.
+   - Keep `workflow/session-handover.md` updated with a same-day entry for the active branch.
+   - If the check fails, stop and fix handover artifacts first.
+
+6. **Process-change-first execution gate**
+   - If process/governance change is required, merge the process ticket to the feature branch first.
+   - Do not start code/test edits for implementation tickets until process merge evidence is confirmed.
+   - Subagents must be constrained to read-only exploration until the process gate is satisfied.
+
 ## Change Control
 
 - Changes to this file follow the same workflow as code changes.
@@ -43,3 +55,15 @@ It is distinct from `docs/requirements-log.md`, which records **project/product
 - When work requires guidance, consult the relevant `docs/` policies first.
 - Any code change must be accompanied by relevant documentation updates.
 - Persist user constraints across sessions by recording them in this document.
+
+### 2026-02-27
+
+- All agents must pre-read `docs/commands.md` and `docs/workflow.md` troubleshooting before running Gitea issue/PR/comment commands.
+- `gh` CLI is prohibited for repository ticket/PR operations; use `tea` (or documented Gitea API fallback only).
+- Session start must pass `python3 scripts/session_handover_check.py --strict`, with branch-matched entry in `workflow/session-handover.md`.
+
+### 2026-02-27
+
+- Apply process-change-first as an execution gate: process ticket must be merged before implementation ticket coding.
+- Handover entry must record concrete `next_ticket` and `process_gate_checked`; placeholders are not allowed in strict gate.
+- Before process merge confirmation, all subagent tasks must remain read-only (analysis only).

docs/commands.md

@@ -4,6 +4,23 @@
 
 **Critical: Learn from failures. Never repeat the same failed command without modification.**
 
+## Repository VCS Rule (Mandatory)
+
+- 이 저장소의 티켓/PR/코멘트 작업은 Gitea 기준으로 수행한다.
+- `gh`(GitHub CLI) 명령 사용은 금지한다.
+- 기본 도구는 `tea`이며, `tea` 미지원 케이스만 Gitea API를 fallback으로 사용한다.
+- 실행 전 `docs/workflow.md`의 `Gitea CLI Formatting Troubleshooting`을 반드시 확인한다.
+
+## Session Handover Preflight (Mandatory)
+
+- 세션 시작 직후(코드 변경 전) 아래 명령을 먼저 실행한다.
+
+```bash
+python3 scripts/session_handover_check.py --strict
+```
+
+- 실패 시 `workflow/session-handover.md` 최신 엔트리를 보강한 뒤 재실행한다.
+
 ### tea CLI (Gitea Command Line Tool)
 
 #### ❌ TTY Error - Interactive Confirmation Fails
@@ -140,6 +157,15 @@ python -m src.main --mode=paper
 # Run with dashboard enabled
 python -m src.main --mode=paper --dashboard
 
+# Runtime verification monitor (NOT_OBSERVED detection)
+bash scripts/runtime_verify_monitor.sh
+
+# Session handover gate (must pass before implementation)
+python3 scripts/session_handover_check.py --strict
+
+# Follow runtime verification log
+tail -f data/overnight/runtime_verify_*.log
+
 # Docker
 docker compose up -d ouroboros          # Run agent
 docker compose --profile test up test   # Run tests in container

docs/ouroboros/50_tpm_control_protocol.md

@@ -34,6 +34,12 @@ Main Agent 아이디에이션 책임:
 - 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
 
+Main/Verifier 사고 재발 방지 규칙:
+- Main Agent는 검증 위임 시 `Directive Contract`를 충족하지 않으면 검증 착수 금지
+- Verifier Agent는 지시 누락/모호성 발견 시 즉시 `BLOCKED`를 선언하고 보완 요청
+- Verifier Agent는 `미관측(NOT_OBSERVED)` 항목을 PASS로 보고할 수 없다
+- Runtime 검증에서 요구 세션 증적이 없으면 "정상"이 아니라 `미검증 이상`으로 이슈화한다
+
 ## Phase Control Gates
 
 ### Phase 0: Scenario Intake and Scope Lock
@@ -112,7 +118,10 @@ Exit criteria:
 
 Control checks:
 - Verifier가 테스트 증적(로그/리포트/실행 커맨드) 첨부
+- Verifier가 `Coverage Matrix`(`REQ/TASK/TEST` x `PASS/FAIL/NOT_OBSERVED`) 첨부
+- `NOT_OBSERVED` 항목 수가 0인지 확인(0이 아니면 Gate 실패)
 - Runtime Verifier가 스테이징/실운영 모니터링 계획 승인
+- 정적 Verifier 승인 + Runtime Verifier 승인 2개 모두 확인
 - 산출물: 수용 승인 레코드
 
 ### Phase 5: Release and Post-Release Control
@@ -150,6 +159,17 @@ TPM 티켓 운영 규칙:
 - 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.
+- PM/TPM/Dev/Reviewer/Verifier/Runtime Verifier는 이슈/PR/코멘트 조작 전에 `docs/commands.md`와 `docs/workflow.md`의 Gitea 트러블슈팅 섹션을 선참조해야 한다.
+- 저장소 협업에서 GitHub CLI(`gh`) 사용은 금지하며, Gitea 작업은 `tea`(필요 시 문서화된 API fallback)만 허용한다.
+- 재발 방지/운영 규칙 변경이 합의되면, 기능 구현 이전에 process 티켓을 먼저 생성/머지해야 한다.
+- process 티켓 미반영 상태에서 구현 티켓 진행 시 TPM이 즉시 `BLOCKED` 처리한다.
+
+티켓 성숙도 단계 (Mandatory):
+- `Implemented`: 코드/문서 변경 완료
+- `Integrated`: 호출 경로/파이프라인 연결 확인
+- `Observed`: 런타임/실행 증적 확보
+- `Accepted`: Verifier + Runtime Verifier 승인 완료
+- 단계는 순차 전진만 허용되며, 단계 점프는 허용되지 않는다.
 
 브랜치 운영 규칙:
 - TPM은 각 티켓에 대해 `ticket temp branch -> program feature branch` PR 경로를 지정한다.
@@ -168,6 +188,8 @@ TPM 티켓 운영 규칙:
   - 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
+  - 세션별 필수 관측 포인트(`NXT`, `US_PRE`, `US_DAY`, `US_AFTER` 등) 중 미관측 항목은 `NOT_OBSERVED`로 기록
+  - `NOT_OBSERVED` 존재 시 승인 금지 + Runtime 이슈 발행
 
 ## Server Reflection Rule
 

docs/ouroboros/60_repo_enforcement_checklist.md

@@ -3,7 +3,7 @@ Doc-ID: DOC-OPS-002
 Version: 1.0.0
 Status: active
 Owner: tpm
-Updated: 2026-02-26
+Updated: 2026-02-27
 -->
 
 # 저장소 강제 설정 체크리스트
@@ -48,6 +48,8 @@ Updated: 2026-02-26
 병합 전 체크리스트:
 - 이슈 연결(`Closes #N`) 존재
 - PR 본문에 `REQ-*`, `TASK-*`, `TEST-*` 매핑 표 존재
+- Main -> Verifier Directive Contract(범위/방법/합격/실패/미관측/증적 형식) 기재
+- process-change-first 대상이면 process 티켓 PR이 선머지됨
 - `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
@@ -56,7 +58,14 @@ Updated: 2026-02-26
 자동 점검:
 - 문서 검증 스크립트 통과
 - 테스트 통과
+- `python3 scripts/session_handover_check.py --strict` 통과
 - 개발 완료 시 시스템 구동/모니터링 증적 코멘트 존재
+- 이슈/PR 조작 전에 `docs/commands.md` 및 `docs/workflow.md` 트러블슈팅 확인 코멘트 존재
+- `gh` CLI 미사용, `tea` 사용 증적 존재
+- Verifier `Coverage Matrix` 첨부(PASS/FAIL/NOT_OBSERVED)
+- `NOT_OBSERVED` 항목 0 확인(0이 아니면 머지 금지)
+- 티켓 단계 기록(`Implemented` -> `Integrated` -> `Observed` -> `Accepted`) 존재
+- 정적 Verifier 승인 + Runtime Verifier 승인 2개 확인
 
 ## 5) 감사 추적
 

docs/requirements-log.md

@@ -355,3 +355,36 @@ Order result: 모의투자 매수주문이 완료 되었습니다.  ✓
    - `TestOverseasGhostPositionClose` 2개: ghost-close 로그 확인, 일반 오류 무시
 
 **이슈/PR:** #235, PR #236
+
+---
+
+## 2026-02-27
+
+### v2 백테스트 파이프라인 통합 (#305)
+
+**배경:**
+- `TripleBarrier`, `WalkForward`, `BacktestCostGuard`는 개별 모듈로 존재했으나,
+  하나의 실행 경로로 연결된 파이프라인이 없어 통합 검증이 불가능했다.
+
+**구현 내용:**
+
+1. `src/analysis/backtest_pipeline.py`
+   - `run_v2_backtest_pipeline()` 추가:
+     - `validate_backtest_cost_model()` 선검증(fail-fast)
+     - `label_with_triple_barrier()`로 entry 라벨 생성
+     - `generate_walk_forward_splits()`로 fold 생성
+     - fold별 baseline(`B0`, `B1`, `M1`) score 산출
+   - 결과 아티팩트 계약 구조(`BacktestPipelineResult`) 정의
+   - leakage 검사 유틸 `fold_has_leakage()` 제공
+
+2. `tests/test_backtest_pipeline_integration.py` 신규
+   - happy path 통합 검증
+   - cost guard 실패 fail-fast 검증
+   - purge/embargo 기반 누수 방지 검증
+   - 동일 입력 재실행 결정성 검증
+
+**검증:**
+- `pytest -q tests/test_backtest_pipeline_integration.py tests/test_triple_barrier.py tests/test_walk_forward_split.py tests/test_backtest_cost_guard.py tests/test_backtest_execution_model.py`
+- `ruff check src/analysis/backtest_pipeline.py tests/test_backtest_pipeline_integration.py`
+
+**이슈/PR:** #305

docs/workflow.md

@@ -16,6 +16,33 @@
 
 **Never commit directly to `main`.** This policy applies to all changes, no exceptions.
 
+## Agent Gitea Preflight (Mandatory)
+
+Gitea 이슈/PR/코멘트 작업 전에 모든 에이전트는 아래를 먼저 확인해야 한다.
+
+1. `docs/commands.md`의 `tea CLI` 실패 사례/해결 패턴 확인
+2. 본 문서의 `Gitea CLI Formatting Troubleshooting` 확인
+3. 명령 실행 전 `gh`(GitHub CLI) 사용 금지 확인
+
+강제 규칙:
+- 이 저장소 협업 명령은 `tea`를 기본으로 사용한다.
+- `gh issue`, `gh pr` 등 GitHub CLI 명령은 사용 금지다.
+- `tea` 실패 시 동일 명령 재시도 전에 원인/수정사항을 PR 코멘트에 남긴다.
+- 필요한 경우에만 Gitea API(`localhost:3000`)를 fallback으로 사용한다.
+
+## Session Handover Gate (Mandatory)
+
+새 세션에서 구현/검증을 시작하기 전에 아래를 선행해야 한다.
+
+1. `docs/workflow.md`, `docs/commands.md`, `docs/agent-constraints.md` 재확인
+2. `workflow/session-handover.md`에 최신 세션 엔트리 추가
+3. `python3 scripts/session_handover_check.py --strict` 통과 확인
+
+강제 규칙:
+- handover check 실패 상태에서 코드 수정/이슈 상태 전이/PR 생성 금지
+- 최신 handover 엔트리는 현재 작업 브랜치를 명시해야 한다
+- 최신 handover 엔트리는 당일(UTC) 날짜를 포함해야 한다
+
 ## Branch Strategy (Mandatory)
 
 - Team operation default branch is the **program feature branch**, not `main`.
@@ -137,6 +164,57 @@ task_tool(
 
 Use `run_in_background=True` for independent tasks that don't block subsequent work.
 
+### Main -> Verifier Directive Contract (Mandatory)
+
+메인 에이전트가 검증 에이전트에 작업을 위임할 때, 아래 6개를 누락하면 지시가 무효다.
+
+1. 검증 대상 범위: `REQ-*`, `TASK-*`, 코드/로그 경로
+2. 검증 방법: 실행 커맨드와 관측 포인트(예: 세션별 로그 키워드)
+3. 합격 기준: PASS 조건을 수치/문구로 명시
+4. 실패 기준: FAIL 조건을 수치/문구로 명시
+5. 미관측 기준: `NOT_OBSERVED` 조건과 즉시 에스컬레이션 규칙
+6. 증적 형식: PR 코멘트에 `Coverage Matrix` 표로 제출
+
+`NOT_OBSERVED` 처리 규칙:
+- 요구사항 항목이 관측되지 않았으면 PASS로 간주 금지
+- `NOT_OBSERVED`는 운영상 `FAIL`과 동일하게 처리
+- `NOT_OBSERVED`가 하나라도 있으면 승인/머지 금지
+
+### Process-Change-First Rule (Mandatory)
+
+재발 방지/운영 규칙 변경이 결정되면, 기능 구현 티켓보다 먼저 서버(feature branch)에 반영해야 한다.
+
+- 순서: `process ticket merge` -> `implementation ticket start`
+- process ticket 미반영 상태에서 기능 티켓 코딩/머지 금지
+- 세션 전환 시에도 동일 규칙 유지
+
+### Implementation Start Gate (Mandatory)
+
+구현 티켓을 시작하기 전에 아래 3개를 모두 만족해야 한다.
+
+1. `process ticket merge` 증적 확인 (feature branch 반영 커밋/PR)
+2. `workflow/session-handover.md` 최신 엔트리에 `next_ticket`과 `process_gate_checked` 기록
+3. `python3 scripts/session_handover_check.py --strict` 통과
+
+강제 규칙:
+- 위 3개 중 하나라도 불충족이면 코드/테스트 수정 금지
+- 서브에이전트 지시도 동일하게 제한한다 (`process merged 확인 전 read-only 탐색만 허용`)
+- 성급 착수 발견 시 구현 작업을 즉시 중단하고 handover/proces gate부터 복구한다
+
+### Ticket Maturity Stages (Mandatory)
+
+모든 티켓은 아래 4단계를 순서대로 통과해야 한다.
+
+1. `Implemented`: 코드/문서 변경 완료
+2. `Integrated`: 호출 경로/파이프라인 연결 완료
+3. `Observed`: 런타임/실행 증적 확보 완료
+4. `Accepted`: 정적 Verifier + Runtime Verifier 승인 완료
+
+강제 규칙:
+- 단계 점프 금지 (예: Implemented -> Accepted 금지)
+- `Observed` 전에는 완료 선언 금지
+- `Accepted` 전에는 머지 금지
+
 ## Code Review Checklist
 
 **CRITICAL: Every PR review MUST verify plan-implementation consistency.**
@@ -170,3 +248,10 @@ Before approving any PR, the reviewer (human or agent) must check ALL of the fol
 - [ ] PR references the Gitea issue number
 - [ ] Feature branch follows naming convention (`feature/issue-N-description`)
 - [ ] Commit messages are clear and descriptive
+- [ ] 이슈/PR 작업 전에 `docs/commands.md`와 본 문서 트러블슈팅 섹션을 확인했다
+- [ ] `gh` 명령을 사용하지 않고 `tea`(또는 허용된 Gitea API fallback)만 사용했다
+- [ ] Main -> Verifier 지시가 Directive Contract 6개 항목을 모두 포함한다
+- [ ] Verifier 결과에 `Coverage Matrix`(PASS/FAIL/NOT_OBSERVED)가 있고, `NOT_OBSERVED=0`이다
+- [ ] Process-change-first 대상이면 해당 process PR이 먼저 머지되었다
+- [ ] 티켓 단계가 `Implemented -> Integrated -> Observed -> Accepted` 순서로 기록되었다
+- [ ] 정적 Verifier와 Runtime Verifier 승인 코멘트가 모두 존재한다

scripts/runtime_verify_monitor.sh

@@ -0,0 +1,78 @@
+#!/usr/bin/env bash
+# Runtime verification monitor with NOT_OBSERVED detection.
+
+set -euo pipefail
+
+ROOT_DIR="${ROOT_DIR:-/home/agentson/repos/The-Ouroboros}"
+LOG_DIR="${LOG_DIR:-$ROOT_DIR/data/overnight}"
+INTERVAL_SEC="${INTERVAL_SEC:-60}"
+MAX_HOURS="${MAX_HOURS:-24}"
+
+cd "$ROOT_DIR"
+
+OUT_LOG="$LOG_DIR/runtime_verify_$(date +%Y%m%d_%H%M%S).log"
+END_TS=$(( $(date +%s) + MAX_HOURS*3600 ))
+
+log() {
+  printf '%s %s\n' "$(date -u +%Y-%m-%dT%H:%M:%SZ)" "$1" | tee -a "$OUT_LOG" >/dev/null
+}
+
+check_signal() {
+  local name="$1"
+  local pattern="$2"
+  local run_log="$3"
+
+  if rg -q "$pattern" "$run_log"; then
+    log "[COVERAGE] ${name}=PASS pattern=${pattern}"
+    return 0
+  fi
+  log "[COVERAGE] ${name}=NOT_OBSERVED pattern=${pattern}"
+  return 1
+}
+
+log "[INFO] runtime verify monitor started interval=${INTERVAL_SEC}s max_hours=${MAX_HOURS}"
+
+while true; do
+  now=$(date +%s)
+  if [ "$now" -ge "$END_TS" ]; then
+    log "[INFO] monitor completed (time window reached)"
+    exit 0
+  fi
+
+  latest_run="$(ls -t "$LOG_DIR"/run_*.log 2>/dev/null | head -n1 || true)"
+  if [ -z "$latest_run" ]; then
+    log "[ANOMALY] no run log found"
+    sleep "$INTERVAL_SEC"
+    continue
+  fi
+
+  # Basic liveness hints.
+  app_pid="$(cat "$LOG_DIR/app.pid" 2>/dev/null || true)"
+  wd_pid="$(cat "$LOG_DIR/watchdog.pid" 2>/dev/null || true)"
+  app_alive=0
+  wd_alive=0
+  port_alive=0
+  [ -n "$app_pid" ] && kill -0 "$app_pid" 2>/dev/null && app_alive=1
+  [ -n "$wd_pid" ] && kill -0 "$wd_pid" 2>/dev/null && wd_alive=1
+  ss -ltnp 2>/dev/null | rg -q ':8080' && port_alive=1
+  log "[HEARTBEAT] run_log=$latest_run app_alive=$app_alive watchdog_alive=$wd_alive port8080=$port_alive"
+
+  # Coverage matrix rows (session paths and policy gate evidence).
+  not_observed=0
+  check_signal "LIVE_MODE" "Mode: live" "$latest_run" || not_observed=$((not_observed+1))
+  check_signal "KR_LOOP" "Processing market: Korea Exchange" "$latest_run" || not_observed=$((not_observed+1))
+  check_signal "NXT_PATH" "NXT_PRE|NXT_AFTER|session=NXT_" "$latest_run" || not_observed=$((not_observed+1))
+  check_signal "US_PRE_PATH" "US_PRE|session=US_PRE" "$latest_run" || not_observed=$((not_observed+1))
+  check_signal "US_DAY_PATH" "US_DAY|session=US_DAY|Processing market: .*NASDAQ|Processing market: .*NYSE|Processing market: .*AMEX" "$latest_run" || not_observed=$((not_observed+1))
+  check_signal "US_AFTER_PATH" "US_AFTER|session=US_AFTER" "$latest_run" || not_observed=$((not_observed+1))
+  check_signal "ORDER_POLICY_SESSION" "Order policy rejected .*\\[session=" "$latest_run" || not_observed=$((not_observed+1))
+
+  if [ "$not_observed" -gt 0 ]; then
+    log "[ANOMALY] coverage_not_observed=$not_observed (treat as FAIL)"
+  else
+    log "[OK] coverage complete (NOT_OBSERVED=0)"
+  fi
+
+  sleep "$INTERVAL_SEC"
+done
+

scripts/session_handover_check.py

@@ -0,0 +1,146 @@
+#!/usr/bin/env python3
+"""Session handover preflight gate.
+
+This script enforces a minimal handover record per working branch so that
+new sessions cannot start implementation without reading the required docs
+and recording current intent.
+"""
+
+from __future__ import annotations
+
+import argparse
+import subprocess
+import sys
+from datetime import UTC, datetime
+from pathlib import Path
+
+REQUIRED_DOCS = (
+    Path("docs/workflow.md"),
+    Path("docs/commands.md"),
+    Path("docs/agent-constraints.md"),
+)
+HANDOVER_LOG = Path("workflow/session-handover.md")
+
+
+def _run_git(*args: str) -> str:
+    try:
+        return (
+            subprocess.check_output(["git", *args], stderr=subprocess.DEVNULL)
+            .decode("utf-8")
+            .strip()
+        )
+    except Exception:
+        return ""
+
+
+def _current_branch() -> str:
+    branch = _run_git("branch", "--show-current")
+    if branch:
+        return branch
+    return _run_git("rev-parse", "--abbrev-ref", "HEAD")
+
+
+def _latest_entry(text: str) -> str:
+    chunks = text.split("\n### ")
+    if not chunks:
+        return ""
+    if chunks[0].startswith("### "):
+        chunks[0] = chunks[0][4:]
+    latest = chunks[-1].strip()
+    if not latest:
+        return ""
+    if not latest.startswith("### "):
+        latest = f"### {latest}"
+    return latest
+
+
+def _check_required_files(errors: list[str]) -> None:
+    for path in REQUIRED_DOCS:
+        if not path.exists():
+            errors.append(f"missing required document: {path}")
+    if not HANDOVER_LOG.exists():
+        errors.append(f"missing handover log: {HANDOVER_LOG}")
+
+
+def _check_handover_entry(
+    *,
+    branch: str,
+    strict: bool,
+    errors: list[str],
+) -> None:
+    if not HANDOVER_LOG.exists():
+        return
+    text = HANDOVER_LOG.read_text(encoding="utf-8")
+    latest = _latest_entry(text)
+    if not latest:
+        errors.append("handover log has no session entry")
+        return
+
+    required_tokens = (
+        "- branch:",
+        "- docs_checked:",
+        "- open_issues_reviewed:",
+        "- next_ticket:",
+        "- process_gate_checked:",
+    )
+    for token in required_tokens:
+        if token not in latest:
+            errors.append(f"latest handover entry missing token: {token}")
+
+    if strict:
+        today_utc = datetime.now(UTC).date().isoformat()
+        if today_utc not in latest:
+            errors.append(
+                f"latest handover entry must contain today's UTC date ({today_utc})"
+            )
+        branch_token = f"- branch: {branch}"
+        if branch_token not in latest:
+            errors.append(
+                "latest handover entry must target current branch "
+                f"({branch_token})"
+            )
+        if "- next_ticket: #TBD" in latest:
+            errors.append("latest handover entry must not use placeholder next_ticket (#TBD)")
+        if "merged_to_feature_branch=no" in latest:
+            errors.append(
+                "process gate indicates not merged; implementation must stay blocked "
+                "(merged_to_feature_branch=no)"
+            )
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(
+        description="Validate session handover gate requirements."
+    )
+    parser.add_argument(
+        "--strict",
+        action="store_true",
+        help="Enforce today-date and current-branch match on latest handover entry.",
+    )
+    args = parser.parse_args()
+
+    errors: list[str] = []
+    _check_required_files(errors)
+
+    branch = _current_branch()
+    if not branch:
+        errors.append("cannot resolve current git branch")
+    elif branch in {"main", "master"}:
+        errors.append(f"working branch must not be {branch}")
+
+    _check_handover_entry(branch=branch, strict=args.strict, errors=errors)
+
+    if errors:
+        print("[FAIL] session handover check failed")
+        for err in errors:
+            print(f"- {err}")
+        return 1
+
+    print("[OK] session handover check passed")
+    print(f"[OK] branch={branch}")
+    print(f"[OK] handover_log={HANDOVER_LOG}")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())

scripts/validate_governance_assets.py

@@ -0,0 +1,95 @@
+#!/usr/bin/env python3
+"""Validate persistent governance assets for agent workflow safety."""
+
+from __future__ import annotations
+
+import sys
+from pathlib import Path
+
+
+def must_contain(path: Path, required: list[str], errors: list[str]) -> None:
+    if not path.exists():
+        errors.append(f"missing file: {path}")
+        return
+    text = path.read_text(encoding="utf-8")
+    for token in required:
+        if token not in text:
+            errors.append(f"{path}: missing required token -> {token}")
+
+
+def main() -> int:
+    errors: list[str] = []
+
+    pr_template = Path(".gitea/PULL_REQUEST_TEMPLATE.md")
+    issue_template = Path(".gitea/ISSUE_TEMPLATE/runtime_verification.md")
+    workflow_doc = Path("docs/workflow.md")
+    commands_doc = Path("docs/commands.md")
+    handover_script = Path("scripts/session_handover_check.py")
+    handover_log = Path("workflow/session-handover.md")
+
+    must_contain(
+        pr_template,
+        [
+            "Closes #N",
+            "Main -> Verifier Directive Contract",
+            "Coverage Matrix",
+            "NOT_OBSERVED",
+            "tea",
+            "gh",
+            "Session Handover Gate",
+            "session_handover_check.py --strict",
+        ],
+        errors,
+    )
+    must_contain(
+        issue_template,
+        [
+            "[RUNTIME-VERIFY][SCN-XXX]",
+            "Requirement Mapping",
+            "Close Criteria",
+            "NOT_OBSERVED = 0",
+        ],
+        errors,
+    )
+    must_contain(
+        workflow_doc,
+        [
+            "Session Handover Gate (Mandatory)",
+            "session_handover_check.py --strict",
+        ],
+        errors,
+    )
+    must_contain(
+        commands_doc,
+        [
+            "Session Handover Preflight (Mandatory)",
+            "session_handover_check.py --strict",
+        ],
+        errors,
+    )
+    must_contain(
+        handover_log,
+        [
+            "Session Handover Log",
+            "- branch:",
+            "- docs_checked:",
+            "- open_issues_reviewed:",
+            "- next_ticket:",
+        ],
+        errors,
+    )
+    if not handover_script.exists():
+        errors.append(f"missing file: {handover_script}")
+
+    if errors:
+        print("[FAIL] governance asset validation failed")
+        for err in errors:
+            print(f"- {err}")
+        return 1
+
+    print("[OK] governance assets validated")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())

src/analysis/backtest_pipeline.py

@@ -0,0 +1,187 @@
+"""Integrated v2 backtest pipeline.
+
+Wires TripleBarrier labeling + WalkForward split + CostGuard validation
+into a single deterministic orchestration path.
+"""
+
+from __future__ import annotations
+
+from collections.abc import Sequence
+from dataclasses import dataclass
+from statistics import mean
+from typing import Literal
+
+from src.analysis.backtest_cost_guard import BacktestCostModel, validate_backtest_cost_model
+from src.analysis.triple_barrier import TripleBarrierSpec, label_with_triple_barrier
+from src.analysis.walk_forward_split import WalkForwardFold, generate_walk_forward_splits
+
+
+@dataclass(frozen=True)
+class BacktestBar:
+    high: float
+    low: float
+    close: float
+    session_id: str
+
+
+@dataclass(frozen=True)
+class WalkForwardConfig:
+    train_size: int
+    test_size: int
+    step_size: int | None = None
+    purge_size: int = 0
+    embargo_size: int = 0
+    min_train_size: int = 1
+
+
+@dataclass(frozen=True)
+class BaselineScore:
+    name: Literal["B0", "B1", "M1"]
+    accuracy: float
+
+
+@dataclass(frozen=True)
+class BacktestFoldResult:
+    fold_index: int
+    train_indices: list[int]
+    test_indices: list[int]
+    train_label_distribution: dict[int, int]
+    test_label_distribution: dict[int, int]
+    baseline_scores: list[BaselineScore]
+
+
+@dataclass(frozen=True)
+class BacktestPipelineResult:
+    run_id: str
+    n_bars: int
+    n_entries: int
+    required_sessions: list[str]
+    label_distribution: dict[int, int]
+    folds: list[BacktestFoldResult]
+
+
+def run_v2_backtest_pipeline(
+    *,
+    bars: Sequence[BacktestBar],
+    entry_indices: Sequence[int],
+    side: int,
+    triple_barrier_spec: TripleBarrierSpec,
+    walk_forward: WalkForwardConfig,
+    cost_model: BacktestCostModel,
+    required_sessions: list[str] | None = None,
+) -> BacktestPipelineResult:
+    """Run v2 integrated pipeline (cost guard -> labels -> walk-forward baselines)."""
+    if not bars:
+        raise ValueError("bars must not be empty")
+    if not entry_indices:
+        raise ValueError("entry_indices must not be empty")
+
+    resolved_sessions = (
+        sorted(set(required_sessions))
+        if required_sessions is not None
+        else sorted({bar.session_id for bar in bars})
+    )
+    validate_backtest_cost_model(model=cost_model, required_sessions=resolved_sessions)
+
+    highs = [float(bar.high) for bar in bars]
+    lows = [float(bar.low) for bar in bars]
+    closes = [float(bar.close) for bar in bars]
+    normalized_entries = sorted(set(int(i) for i in entry_indices))
+    if normalized_entries[0] < 0 or normalized_entries[-1] >= len(bars):
+        raise IndexError("entry index out of range")
+
+    labels_by_bar_index: dict[int, int] = {}
+    for idx in normalized_entries:
+        labels_by_bar_index[idx] = label_with_triple_barrier(
+            highs=highs,
+            lows=lows,
+            closes=closes,
+            entry_index=idx,
+            side=side,
+            spec=triple_barrier_spec,
+        ).label
+
+    ordered_labels = [labels_by_bar_index[idx] for idx in normalized_entries]
+    folds = generate_walk_forward_splits(
+        n_samples=len(normalized_entries),
+        train_size=walk_forward.train_size,
+        test_size=walk_forward.test_size,
+        step_size=walk_forward.step_size,
+        purge_size=walk_forward.purge_size,
+        embargo_size=walk_forward.embargo_size,
+        min_train_size=walk_forward.min_train_size,
+    )
+
+    fold_results: list[BacktestFoldResult] = []
+    for fold_idx, fold in enumerate(folds):
+        train_labels = [ordered_labels[i] for i in fold.train_indices]
+        test_labels = [ordered_labels[i] for i in fold.test_indices]
+        if not test_labels:
+            continue
+        fold_results.append(
+            BacktestFoldResult(
+                fold_index=fold_idx,
+                train_indices=fold.train_indices,
+                test_indices=fold.test_indices,
+                train_label_distribution=_label_dist(train_labels),
+                test_label_distribution=_label_dist(test_labels),
+                baseline_scores=[
+                    BaselineScore(name="B0", accuracy=_baseline_b0(train_labels, test_labels)),
+                    BaselineScore(name="B1", accuracy=_score_constant(1, test_labels)),
+                    BaselineScore(
+                        name="M1",
+                        accuracy=_score_constant(_m1_pred(train_labels), test_labels),
+                    ),
+                ],
+            )
+        )
+
+    return BacktestPipelineResult(
+        run_id=_build_run_id(
+            n_entries=len(normalized_entries),
+            n_folds=len(fold_results),
+            sessions=resolved_sessions,
+        ),
+        n_bars=len(bars),
+        n_entries=len(normalized_entries),
+        required_sessions=resolved_sessions,
+        label_distribution=_label_dist(ordered_labels),
+        folds=fold_results,
+    )
+
+
+def _label_dist(labels: Sequence[int]) -> dict[int, int]:
+    dist: dict[int, int] = {-1: 0, 0: 0, 1: 0}
+    for val in labels:
+        if val in dist:
+            dist[val] += 1
+    return dist
+
+
+def _score_constant(pred: int, actual: Sequence[int]) -> float:
+    return mean(1.0 if pred == label else 0.0 for label in actual)
+
+
+def _baseline_b0(train_labels: Sequence[int], test_labels: Sequence[int]) -> float:
+    if not train_labels:
+        return _score_constant(0, test_labels)
+    # Majority-class baseline from training fold.
+    choices = (-1, 0, 1)
+    pred = max(choices, key=lambda c: train_labels.count(c))
+    return _score_constant(pred, test_labels)
+
+
+def _m1_pred(train_labels: Sequence[int]) -> int:
+    if not train_labels:
+        return 0
+    return train_labels[-1]
+
+
+def _build_run_id(*, n_entries: int, n_folds: int, sessions: Sequence[str]) -> str:
+    sess_key = "_".join(sessions)
+    return f"v2p-e{n_entries}-f{n_folds}-s{sess_key}"
+
+
+def fold_has_leakage(fold: WalkForwardFold) -> bool:
+    """Utility for tests/verification: True when train/test overlap exists."""
+    return bool(set(fold.train_indices).intersection(fold.test_indices))

src/config.py

@@ -60,6 +60,7 @@ class Settings(BaseSettings):
     # 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)
+    OVERNIGHT_EXCEPTION_ENABLED: bool = True
 
     # Trading frequency mode (daily = batch API calls, realtime = per-stock calls)
     TRADE_MODE: str = Field(default="daily", pattern="^(daily|realtime)$")

src/db.py

@@ -31,8 +31,12 @@ 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',
+            session_id TEXT DEFAULT 'UNKNOWN',
+            selection_context TEXT,
             decision_id TEXT,
             mode TEXT DEFAULT 'paper'
         )
@@ -53,6 +57,32 @@ 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'")
+    session_id_added = False
+    if "session_id" not in columns:
+        conn.execute("ALTER TABLE trades ADD COLUMN session_id TEXT DEFAULT 'UNKNOWN'")
+        session_id_added = True
+    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
+        """
+    )
+    if session_id_added:
+        conn.execute(
+            """
+            UPDATE trades
+            SET session_id = 'UNKNOWN'
+            WHERE session_id IS NULL OR session_id = ''
+            """
+        )
 
     # Context tree tables for multi-layered memory management
     conn.execute(
@@ -171,8 +201,11 @@ 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",
+    session_id: str | None = None,
     selection_context: dict[str, any] | None = None,
     decision_id: str | None = None,
     mode: str = "paper",
@@ -187,24 +220,37 @@ 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
+        session_id: Session identifier (if omitted, auto-derived from market)
         selection_context: Scanner selection data (RSI, volume_ratio, signal, score)
         decision_id: Unique decision identifier for audit linking
         mode: Trading mode ('paper' or 'live') for data separation
     """
     # Serialize selection context to JSON
     context_json = json.dumps(selection_context) if selection_context else None
+    resolved_session_id = _resolve_session_id(market=market, session_id=session_id)
+    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,
+            quantity, price, pnl, strategy_pnl, fx_pnl,
-            mode
+            market, exchange_code, session_id, selection_context, decision_id, mode
         )
-        VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+        VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
         """,
         (
             datetime.now(UTC).isoformat(),
@@ -215,8 +261,11 @@ def log_trade(
             quantity,
             price,
             pnl,
+            strategy_pnl,
+            fx_pnl,
             market,
             exchange_code,
+            resolved_session_id,
             context_json,
             decision_id,
             mode,
@@ -225,6 +274,21 @@ def log_trade(
     conn.commit()
 
 
+def _resolve_session_id(*, market: str, session_id: str | None) -> str:
+    if session_id:
+        return session_id
+    try:
+        from src.core.order_policy import classify_session_id
+        from src.markets.schedule import MARKETS
+
+        market_info = MARKETS.get(market)
+        if market_info is not None:
+            return classify_session_id(market_info)
+    except Exception:
+        pass
+    return "UNKNOWN"
+
+
 def get_latest_buy_trade(
     conn: sqlite3.Connection, stock_code: str, market: str
 ) -> dict[str, Any] | None:

src/main.py

@@ -33,7 +33,11 @@ from src.core.blackout_manager import (
     parse_blackout_windows_kst,
 )
 from src.core.kill_switch import KillSwitchOrchestrator
-from src.core.order_policy import OrderPolicyRejected, validate_order_policy
+from src.core.order_policy import (
+    OrderPolicyRejected,
+    get_session_info,
+    validate_order_policy,
+)
 from src.core.priority_queue import PriorityTaskQueue
 from src.core.risk_manager import CircuitBreakerTripped, FatFingerRejected, RiskManager
 from src.db import (
@@ -63,6 +67,9 @@ BLACKOUT_ORDER_MANAGER = BlackoutOrderManager(
     windows=[],
     max_queue_size=500,
 )
+_SESSION_CLOSE_WINDOWS = {"NXT_AFTER", "US_AFTER"}
+_RUNTIME_EXIT_STATES: dict[str, PositionState] = {}
+_RUNTIME_EXIT_PEAKS: dict[str, float] = {}
 
 
 def safe_float(value: str | float | None, default: float = 0.0) -> float:
@@ -449,6 +456,133 @@ def _should_block_overseas_buy_for_fx_buffer(
     return remaining < required, remaining, required
 
 
+def _should_force_exit_for_overnight(
+    *,
+    market: MarketInfo,
+    settings: Settings | None,
+) -> bool:
+    session_id = get_session_info(market).session_id
+    if session_id not in _SESSION_CLOSE_WINDOWS:
+        return False
+    if KILL_SWITCH.new_orders_blocked:
+        return True
+    if settings is None:
+        return False
+    return not settings.OVERNIGHT_EXCEPTION_ENABLED
+
+
+def _build_runtime_position_key(
+    *,
+    market_code: str,
+    stock_code: str,
+    open_position: dict[str, Any],
+) -> str:
+    decision_id = str(open_position.get("decision_id") or "")
+    timestamp = str(open_position.get("timestamp") or "")
+    return f"{market_code}:{stock_code}:{decision_id}:{timestamp}"
+
+
+def _clear_runtime_exit_cache_for_symbol(*, market_code: str, stock_code: str) -> None:
+    prefix = f"{market_code}:{stock_code}:"
+    stale_keys = [key for key in _RUNTIME_EXIT_STATES if key.startswith(prefix)]
+    for key in stale_keys:
+        _RUNTIME_EXIT_STATES.pop(key, None)
+        _RUNTIME_EXIT_PEAKS.pop(key, None)
+
+
+def _apply_staged_exit_override_for_hold(
+    *,
+    decision: TradeDecision,
+    market: MarketInfo,
+    stock_code: str,
+    open_position: dict[str, Any] | None,
+    market_data: dict[str, Any],
+    stock_playbook: Any | None,
+) -> TradeDecision:
+    """Apply v2 staged exit semantics for HOLD positions using runtime state."""
+    if decision.action != "HOLD" or not open_position:
+        return decision
+
+    entry_price = safe_float(open_position.get("price"), 0.0)
+    current_price = safe_float(market_data.get("current_price"), 0.0)
+    if entry_price <= 0 or current_price <= 0:
+        return decision
+
+    stop_loss_threshold = -2.0
+    take_profit_threshold = 3.0
+    if stock_playbook and stock_playbook.scenarios:
+        stop_loss_threshold = stock_playbook.scenarios[0].stop_loss_pct
+        take_profit_threshold = stock_playbook.scenarios[0].take_profit_pct
+
+    runtime_key = _build_runtime_position_key(
+        market_code=market.code,
+        stock_code=stock_code,
+        open_position=open_position,
+    )
+    current_state = _RUNTIME_EXIT_STATES.get(runtime_key, PositionState.HOLDING)
+    prev_peak = _RUNTIME_EXIT_PEAKS.get(runtime_key, 0.0)
+    peak_hint = max(
+        safe_float(market_data.get("peak_price"), 0.0),
+        safe_float(market_data.get("session_high_price"), 0.0),
+    )
+    peak_price = max(entry_price, current_price, prev_peak, peak_hint)
+
+    exit_eval = evaluate_exit(
+        current_state=current_state,
+        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=peak_price,
+            atr_value=safe_float(market_data.get("atr_value"), 0.0),
+            pred_down_prob=safe_float(market_data.get("pred_down_prob"), 0.0),
+            liquidity_weak=safe_float(market_data.get("volume_ratio"), 1.0) < 1.0,
+        ),
+    )
+    _RUNTIME_EXIT_STATES[runtime_key] = exit_eval.state
+    _RUNTIME_EXIT_PEAKS[runtime_key] = peak_price
+
+    if not exit_eval.should_exit:
+        return decision
+
+    pnl_pct = (current_price - entry_price) / entry_price * 100.0
+    if exit_eval.reason == "hard_stop":
+        rationale = (
+            f"Stop-loss triggered ({pnl_pct:.2f}% <= "
+            f"{stop_loss_threshold:.2f}%)"
+        )
+    elif exit_eval.reason == "arm_take_profit":
+        rationale = (
+            f"Take-profit triggered ({pnl_pct:.2f}% >= "
+            f"{take_profit_threshold:.2f}%)"
+        )
+    elif exit_eval.reason == "atr_trailing_stop":
+        rationale = "ATR trailing-stop triggered"
+    elif exit_eval.reason == "be_lock_threat":
+        rationale = "Break-even lock threat detected"
+    elif exit_eval.reason == "model_liquidity_exit":
+        rationale = "Model/liquidity exit triggered"
+    else:
+        rationale = f"Exit rule triggered ({exit_eval.reason})"
+
+    logger.info(
+        "Staged exit override for %s (%s): HOLD -> SELL (reason=%s, state=%s)",
+        stock_code,
+        market.name,
+        exit_eval.reason,
+        exit_eval.state.value,
+    )
+    return TradeDecision(
+        action="SELL",
+        confidence=max(decision.confidence, 90),
+        rationale=rationale,
+    )
+
+
 async def build_overseas_symbol_universe(
     db_conn: Any,
     overseas_broker: OverseasBroker,
@@ -957,6 +1091,11 @@ async def trading_cycle(
         "foreigner_net": foreigner_net,
         "price_change_pct": price_change_pct,
     }
+    session_high_price = safe_float(
+        price_output.get("high") or price_output.get("ovrs_hgpr") or price_output.get("stck_hgpr")
+    )
+    if session_high_price > 0:
+        market_data["session_high_price"] = session_high_price
 
     # Enrich market_data with scanner metrics for scenario engine
     market_candidates = scan_candidates.get(market.code, {})
@@ -1155,65 +1294,36 @@ async def trading_cycle(
 
     if decision.action == "HOLD":
         open_position = get_open_position(db_conn, stock_code, market.code)
-        if open_position:
+        if not open_position:
-            entry_price = safe_float(open_position.get("price"), 0.0)
+            _clear_runtime_exit_cache_for_symbol(
-            if entry_price > 0 and current_price > 0:
+                market_code=market.code,
-                loss_pct = (current_price - entry_price) / entry_price * 100
+                stock_code=stock_code,
-                stop_loss_threshold = -2.0
+            )
-                take_profit_threshold = 3.0
+        decision = _apply_staged_exit_override_for_hold(
-                if stock_playbook and stock_playbook.scenarios:
+            decision=decision,
-                    stop_loss_threshold = stock_playbook.scenarios[0].stop_loss_pct
+            market=market,
-                    take_profit_threshold = stock_playbook.scenarios[0].take_profit_pct
+            stock_code=stock_code,
-
+            open_position=open_position,
-                exit_eval = evaluate_exit(
+            market_data=market_data,
-                    current_state=PositionState.HOLDING,
+            stock_playbook=stock_playbook,
-                    config=ExitRuleConfig(
+        )
-                        hard_stop_pct=stop_loss_threshold,
+        if open_position and decision.action == "HOLD" and _should_force_exit_for_overnight(
-                        be_arm_pct=max(0.5, take_profit_threshold * 0.4),
+                market=market,
-                        arm_pct=take_profit_threshold,
+                settings=settings,
-                    ),
+        ):
-                    inp=ExitRuleInput(
+            decision = TradeDecision(
-                        current_price=current_price,
+                action="SELL",
-                        entry_price=entry_price,
+                confidence=max(decision.confidence, 85),
-                        peak_price=max(entry_price, current_price),
+                rationale=(
-                        atr_value=0.0,
+                    "Forced exit by overnight policy"
-                        pred_down_prob=0.0,
+                    " (session close window / kill switch priority)"
-                        liquidity_weak=market_data.get("volume_ratio", 1.0) < 1.0,
+                ),
-                    ),
+            )
-                )
+            logger.info(
-
+                "Overnight policy override for %s (%s): HOLD -> SELL",
-                if exit_eval.reason == "hard_stop":
+                stock_code,
-                    decision = TradeDecision(
+                market.name,
-                        action="SELL",
+            )
-                        confidence=95,
-                        rationale=(
-                            f"Stop-loss triggered ({loss_pct:.2f}% <= "
-                            f"{stop_loss_threshold:.2f}%)"
-                        ),
-                    )
-                    logger.info(
-                        "Stop-loss override for %s (%s): %.2f%% <= %.2f%%",
-                        stock_code,
-                        market.name,
-                        loss_pct,
-                        stop_loss_threshold,
-                    )
-                elif exit_eval.reason == "arm_take_profit":
-                    decision = TradeDecision(
-                        action="SELL",
-                        confidence=90,
-                        rationale=(
-                            f"Take-profit triggered ({loss_pct:.2f}% >= "
-                            f"{take_profit_threshold:.2f}%)"
-                        ),
-                    )
-                    logger.info(
-                        "Take-profit override for %s (%s): %.2f%% >= %.2f%%",
-                        stock_code,
-                        market.name,
-                        loss_pct,
-                        take_profit_threshold,
-                    )
     logger.info(
         "Decision for %s (%s): %s (confidence=%d)",
         stock_code,
@@ -1274,7 +1384,7 @@ async def trading_cycle(
     trade_price = current_price
     trade_pnl = 0.0
     if decision.action in ("BUY", "SELL"):
-        if KILL_SWITCH.new_orders_blocked:
+        if KILL_SWITCH.new_orders_blocked and decision.action == "BUY":
             logger.critical(
                 "KillSwitch block active: skip %s order for %s (%s)",
                 decision.action,
@@ -2153,6 +2263,14 @@ async def run_daily_session(
                     "foreigner_net": foreigner_net,
                     "price_change_pct": price_change_pct,
                 }
+                if not market.is_domestic:
+                    session_high_price = safe_float(
+                        price_data.get("output", {}).get("high")
+                        or price_data.get("output", {}).get("ovrs_hgpr")
+                        or price_data.get("output", {}).get("stck_hgpr")
+                    )
+                    if session_high_price > 0:
+                        stock_data["session_high_price"] = session_high_price
                 # Enrich with scanner metrics
                 cand = candidate_map.get(stock_code)
                 if cand:
@@ -2280,6 +2398,7 @@ async def run_daily_session(
         )
         for stock_data in stocks_data:
             stock_code = stock_data["stock_code"]
+            stock_playbook = playbook.get_stock_playbook(stock_code)
             match = scenario_engine.evaluate(
                 playbook, stock_code, stock_data, portfolio_data,
             )
@@ -2323,6 +2442,38 @@ async def run_daily_session(
                         stock_code,
                         market.name,
                     )
+            if decision.action == "HOLD":
+                daily_open = get_open_position(db_conn, stock_code, market.code)
+                if not daily_open:
+                    _clear_runtime_exit_cache_for_symbol(
+                        market_code=market.code,
+                        stock_code=stock_code,
+                    )
+                decision = _apply_staged_exit_override_for_hold(
+                    decision=decision,
+                    market=market,
+                    stock_code=stock_code,
+                    open_position=daily_open,
+                    market_data=stock_data,
+                    stock_playbook=stock_playbook,
+                )
+                if daily_open and decision.action == "HOLD" and _should_force_exit_for_overnight(
+                    market=market,
+                    settings=settings,
+                ):
+                    decision = TradeDecision(
+                        action="SELL",
+                        confidence=max(decision.confidence, 85),
+                        rationale=(
+                            "Forced exit by overnight policy"
+                            " (session close window / kill switch priority)"
+                        ),
+                    )
+                    logger.info(
+                        "Daily overnight policy override for %s (%s): HOLD -> SELL",
+                        stock_code,
+                        market.name,
+                    )
 
             # Log decision
             context_snapshot = {
@@ -2363,7 +2514,7 @@ async def run_daily_session(
             trade_pnl = 0.0
             order_succeeded = True
             if decision.action in ("BUY", "SELL"):
-                if KILL_SWITCH.new_orders_blocked:
+                if KILL_SWITCH.new_orders_blocked and decision.action == "BUY":
                     logger.critical(
                         "KillSwitch block active: skip %s order for %s (%s)",
                         decision.action,
@@ -3352,7 +3503,10 @@ async def run(settings: Settings) -> None:
                 _run_context_scheduler(context_scheduler, now=datetime.now(UTC))
 
                 # Get currently open markets
-                open_markets = get_open_markets(settings.enabled_market_list)
+                open_markets = get_open_markets(
+                    settings.enabled_market_list,
+                    include_extended_sessions=True,
+                )
 
                 if not open_markets:
                     # Notify market close for any markets that were open
@@ -3381,7 +3535,8 @@ async def run(settings: Settings) -> None:
                     # No markets open — wait until next market opens
                     try:
                         next_market, next_open_time = get_next_market_open(
-                            settings.enabled_market_list
+                            settings.enabled_market_list,
+                            include_extended_sessions=True,
                         )
                         now = datetime.now(UTC)
                         wait_seconds = (next_open_time - now).total_seconds()
@@ -3403,6 +3558,14 @@ async def run(settings: Settings) -> None:
                     if shutdown.is_set():
                         break
 
+                    session_info = get_session_info(market)
+                    logger.info(
+                        "Market session active: %s (%s) session=%s",
+                        market.code,
+                        market.name,
+                        session_info.session_id,
+                    )
+
                     await process_blackout_recovery_orders(
                         broker=broker,
                         overseas_broker=overseas_broker,

src/markets/schedule.py

@@ -1,7 +1,7 @@
 """Market schedule management with timezone support."""
 
 from dataclasses import dataclass
-from datetime import datetime, time, timedelta
+from datetime import UTC, datetime, time, timedelta
 from zoneinfo import ZoneInfo
 
 
@@ -181,7 +181,10 @@ def is_market_open(market: MarketInfo, now: datetime | None = None) -> bool:
 
 
 def get_open_markets(
-    enabled_markets: list[str] | None = None, now: datetime | None = None
+    enabled_markets: list[str] | None = None,
+    now: datetime | None = None,
+    *,
+    include_extended_sessions: bool = False,
 ) -> list[MarketInfo]:
     """
     Get list of currently open markets.
@@ -196,17 +199,31 @@ def get_open_markets(
     if enabled_markets is None:
         enabled_markets = list(MARKETS.keys())
 
+    def is_available(market: MarketInfo) -> bool:
+        if not include_extended_sessions:
+            return is_market_open(market, now)
+        if market.code == "KR" or market.code.startswith("US"):
+            # Import lazily to avoid module cycle at import-time.
+            from src.core.order_policy import classify_session_id
+
+            session_id = classify_session_id(market, now)
+            return session_id not in {"KR_OFF", "US_OFF"}
+        return is_market_open(market, now)
+
     open_markets = [
         MARKETS[code]
         for code in enabled_markets
-        if code in MARKETS and is_market_open(MARKETS[code], now)
+        if code in MARKETS and is_available(MARKETS[code])
     ]
 
     return sorted(open_markets, key=lambda m: m.code)
 
 
 def get_next_market_open(
-    enabled_markets: list[str] | None = None, now: datetime | None = None
+    enabled_markets: list[str] | None = None,
+    now: datetime | None = None,
+    *,
+    include_extended_sessions: bool = False,
 ) -> tuple[MarketInfo, datetime]:
     """
     Find the next market that will open and when.
@@ -233,6 +250,21 @@ def get_next_market_open(
     next_open_time: datetime | None = None
     next_market: MarketInfo | None = None
 
+    def first_extended_open_after(market: MarketInfo, start_utc: datetime) -> datetime | None:
+        # Search minute-by-minute for KR/US session transition into active window.
+        # Bounded to 7 days to match existing behavior.
+        from src.core.order_policy import classify_session_id
+
+        ts = start_utc.astimezone(ZoneInfo("UTC")).replace(second=0, microsecond=0)
+        prev_active = classify_session_id(market, ts) not in {"KR_OFF", "US_OFF"}
+        for _ in range(7 * 24 * 60):
+            ts = ts + timedelta(minutes=1)
+            active = classify_session_id(market, ts) not in {"KR_OFF", "US_OFF"}
+            if active and not prev_active:
+                return ts
+            prev_active = active
+        return None
+
     for code in enabled_markets:
         if code not in MARKETS:
             continue
@@ -240,6 +272,13 @@ def get_next_market_open(
         market = MARKETS[code]
         market_now = now.astimezone(market.timezone)
 
+        if include_extended_sessions and (market.code == "KR" or market.code.startswith("US")):
+            ext_open = first_extended_open_after(market, now.astimezone(UTC))
+            if ext_open and (next_open_time is None or ext_open < next_open_time):
+                next_open_time = ext_open
+                next_market = market
+            continue
+
         # Calculate next open time for this market
         for days_ahead in range(7):  # Check next 7 days
             check_date = market_now.date() + timedelta(days=days_ahead)

tests/test_backtest_pipeline_integration.py

@@ -0,0 +1,136 @@
+from __future__ import annotations
+
+from src.analysis.backtest_cost_guard import BacktestCostModel
+from src.analysis.backtest_pipeline import (
+    BacktestBar,
+    WalkForwardConfig,
+    fold_has_leakage,
+    run_v2_backtest_pipeline,
+)
+from src.analysis.triple_barrier import TripleBarrierSpec
+from src.analysis.walk_forward_split import generate_walk_forward_splits
+
+
+def _bars() -> list[BacktestBar]:
+    closes = [100.0, 101.0, 102.0, 101.5, 103.0, 102.5, 104.0, 103.5, 105.0, 104.5, 106.0, 105.5]
+    bars: list[BacktestBar] = []
+    for i, close in enumerate(closes):
+        bars.append(
+            BacktestBar(
+                high=close + 1.0,
+                low=close - 1.0,
+                close=close,
+                session_id="KRX_REG" if i % 2 == 0 else "US_PRE",
+            )
+        )
+    return bars
+
+
+def _cost_model() -> BacktestCostModel:
+    return BacktestCostModel(
+        commission_bps=3.0,
+        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,
+    )
+
+
+def test_pipeline_happy_path_returns_fold_and_artifact_contract() -> None:
+    out = run_v2_backtest_pipeline(
+        bars=_bars(),
+        entry_indices=[0, 1, 2, 3, 4, 5, 6, 7],
+        side=1,
+        triple_barrier_spec=TripleBarrierSpec(
+            take_profit_pct=0.02,
+            stop_loss_pct=0.01,
+            max_holding_bars=3,
+        ),
+        walk_forward=WalkForwardConfig(
+            train_size=4,
+            test_size=2,
+            step_size=2,
+            purge_size=1,
+            embargo_size=1,
+            min_train_size=3,
+        ),
+        cost_model=_cost_model(),
+    )
+
+    assert out.run_id.startswith("v2p-e8-f")
+    assert out.n_bars == 12
+    assert out.n_entries == 8
+    assert out.required_sessions == ["KRX_REG", "US_PRE"]
+    assert len(out.folds) > 0
+    assert set(out.label_distribution) == {-1, 0, 1}
+    for fold in out.folds:
+        names = {score.name for score in fold.baseline_scores}
+        assert names == {"B0", "B1", "M1"}
+        for score in fold.baseline_scores:
+            assert 0.0 <= score.accuracy <= 1.0
+
+
+def test_pipeline_cost_guard_fail_fast() -> None:
+    bad = BacktestCostModel(
+        commission_bps=3.0,
+        slippage_bps_by_session={"KRX_REG": 10.0},
+        failure_rate_by_session={"KRX_REG": 0.01},
+        unfavorable_fill_required=True,
+    )
+    try:
+        run_v2_backtest_pipeline(
+            bars=_bars(),
+            entry_indices=[0, 1, 2, 3],
+            side=1,
+            triple_barrier_spec=TripleBarrierSpec(
+                take_profit_pct=0.02,
+                stop_loss_pct=0.01,
+                max_holding_bars=3,
+            ),
+            walk_forward=WalkForwardConfig(train_size=2, test_size=1),
+            cost_model=bad,
+            required_sessions=["KRX_REG", "US_PRE"],
+        )
+    except ValueError as exc:
+        assert "missing slippage_bps_by_session" in str(exc)
+    else:
+        raise AssertionError("expected cost guard validation error")
+
+
+def test_pipeline_fold_leakage_guard() -> None:
+    folds = generate_walk_forward_splits(
+        n_samples=12,
+        train_size=6,
+        test_size=2,
+        step_size=2,
+        purge_size=1,
+        embargo_size=1,
+        min_train_size=5,
+    )
+    assert folds
+    for fold in folds:
+        assert not fold_has_leakage(fold)
+
+
+def test_pipeline_deterministic_seed_free_deterministic_result() -> None:
+    cfg = dict(
+        bars=_bars(),
+        entry_indices=[0, 1, 2, 3, 4, 5, 6, 7],
+        side=1,
+        triple_barrier_spec=TripleBarrierSpec(
+            take_profit_pct=0.02,
+            stop_loss_pct=0.01,
+            max_holding_bars=3,
+        ),
+        walk_forward=WalkForwardConfig(
+            train_size=4,
+            test_size=2,
+            step_size=2,
+            purge_size=1,
+            embargo_size=1,
+            min_train_size=3,
+        ),
+        cost_model=_cost_model(),
+    )
+    out1 = run_v2_backtest_pipeline(**cfg)
+    out2 = run_v2_backtest_pipeline(**cfg)
+    assert out1 == out2

tests/test_db.py

@@ -155,6 +155,9 @@ 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 "session_id" in columns
+    assert "strategy_pnl" in columns
+    assert "fx_pnl" in columns
 
 
 def test_mode_migration_adds_column_to_existing_db() -> None:
@@ -182,6 +185,13 @@ 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 +200,132 @@ 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 "session_id" in columns
+        assert "strategy_pnl" in columns
+        assert "fx_pnl" in columns
+        migrated = conn.execute(
+            "SELECT pnl, strategy_pnl, fx_pnl, session_id 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
+        assert migrated[3] == "UNKNOWN"
         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
+
+
+def test_log_trade_persists_explicit_session_id() -> None:
+    conn = init_db(":memory:")
+    log_trade(
+        conn=conn,
+        stock_code="AAPL",
+        action="BUY",
+        confidence=70,
+        rationale="session test",
+        market="US_NASDAQ",
+        exchange_code="NASD",
+        session_id="US_PRE",
+    )
+    row = conn.execute("SELECT session_id FROM trades ORDER BY id DESC LIMIT 1").fetchone()
+    assert row is not None
+    assert row[0] == "US_PRE"
+
+
+def test_log_trade_auto_derives_session_id_when_not_provided() -> None:
+    conn = init_db(":memory:")
+    log_trade(
+        conn=conn,
+        stock_code="005930",
+        action="BUY",
+        confidence=70,
+        rationale="auto session",
+        market="KR",
+        exchange_code="KRX",
+    )
+    row = conn.execute("SELECT session_id FROM trades ORDER BY id DESC LIMIT 1").fetchone()
+    assert row is not None
+    assert row[0] != "UNKNOWN"
+
+
+def test_log_trade_unknown_market_falls_back_to_unknown_session() -> None:
+    conn = init_db(":memory:")
+    log_trade(
+        conn=conn,
+        stock_code="X",
+        action="BUY",
+        confidence=70,
+        rationale="unknown market",
+        market="MARS",
+        exchange_code="MARS",
+    )
+    row = conn.execute("SELECT session_id FROM trades ORDER BY id DESC LIMIT 1").fetchone()
+    assert row is not None
+    assert row[0] == "UNKNOWN"

tests/test_main.py

@@ -15,6 +15,9 @@ from src.evolution.scorecard import DailyScorecard
 from src.logging.decision_logger import DecisionLogger
 from src.main import (
     KILL_SWITCH,
+    _RUNTIME_EXIT_PEAKS,
+    _RUNTIME_EXIT_STATES,
+    _should_force_exit_for_overnight,
     _should_block_overseas_buy_for_fx_buffer,
     _trigger_emergency_kill_switch,
     _apply_dashboard_flag,
@@ -41,6 +44,7 @@ from src.strategy.models import (
     StockCondition,
     StockScenario,
 )
+from src.strategy.position_state_machine import PositionState
 from src.strategy.scenario_engine import ScenarioEngine, ScenarioMatch
 
 
@@ -86,8 +90,12 @@ def _make_sell_match(stock_code: str = "005930") -> ScenarioMatch:
 def _reset_kill_switch_state() -> None:
     """Prevent cross-test leakage from global kill-switch state."""
     KILL_SWITCH.clear_block()
+    _RUNTIME_EXIT_STATES.clear()
+    _RUNTIME_EXIT_PEAKS.clear()
     yield
     KILL_SWITCH.clear_block()
+    _RUNTIME_EXIT_STATES.clear()
+    _RUNTIME_EXIT_PEAKS.clear()
 
 
 class TestExtractAvgPriceFromBalance:
@@ -2336,6 +2344,218 @@ async def test_hold_not_overridden_when_between_stop_loss_and_take_profit() -> N
     broker.send_order.assert_not_called()
 
 
+@pytest.mark.asyncio
+async def test_hold_overridden_to_sell_on_be_lock_threat_after_state_arms() -> None:
+    """Staged exit must use runtime state (BE_LOCK -> be_lock_threat -> SELL)."""
+    db_conn = init_db(":memory:")
+    decision_logger = DecisionLogger(db_conn)
+
+    buy_decision_id = decision_logger.log_decision(
+        stock_code="005930",
+        market="KR",
+        exchange_code="KRX",
+        action="BUY",
+        confidence=90,
+        rationale="entry",
+        context_snapshot={},
+        input_data={},
+    )
+    log_trade(
+        conn=db_conn,
+        stock_code="005930",
+        action="BUY",
+        confidence=90,
+        rationale="entry",
+        quantity=1,
+        price=100.0,
+        market="KR",
+        exchange_code="KRX",
+        decision_id=buy_decision_id,
+    )
+
+    broker = MagicMock()
+    broker.get_current_price = AsyncMock(side_effect=[(102.0, 2.0, 0.0), (99.0, -1.0, 0.0)])
+    broker.get_balance = AsyncMock(
+        return_value={
+            "output1": [{"pdno": "005930", "ord_psbl_qty": "1"}],
+            "output2": [
+                {
+                    "tot_evlu_amt": "100000",
+                    "dnca_tot_amt": "10000",
+                    "pchs_amt_smtl_amt": "90000",
+                }
+            ],
+        }
+    )
+    broker.send_order = AsyncMock(return_value={"msg1": "OK"})
+
+    scenario = StockScenario(
+        condition=StockCondition(rsi_below=30),
+        action=ScenarioAction.BUY,
+        confidence=88,
+        stop_loss_pct=-5.0,
+        take_profit_pct=3.0,
+        rationale="staged exit policy",
+    )
+    playbook = DayPlaybook(
+        date=date(2026, 2, 8),
+        market="KR",
+        stock_playbooks=[
+            {"stock_code": "005930", "stock_name": "Samsung", "scenarios": [scenario]}
+        ],
+    )
+    engine = MagicMock(spec=ScenarioEngine)
+    engine.evaluate = MagicMock(return_value=_make_hold_match())
+
+    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()
+
+    for _ in range(2):
+        await trading_cycle(
+            broker=broker,
+            overseas_broker=MagicMock(),
+            scenario_engine=engine,
+            playbook=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={},
+        )
+
+    broker.send_order.assert_called_once()
+    assert broker.send_order.call_args.kwargs["order_type"] == "SELL"
+
+
+@pytest.mark.asyncio
+async def test_runtime_exit_cache_cleared_when_position_closed() -> None:
+    """Runtime staged-exit cache must be cleared when no open position exists."""
+    db_conn = init_db(":memory:")
+    decision_logger = DecisionLogger(db_conn)
+
+    buy_decision_id = decision_logger.log_decision(
+        stock_code="005930",
+        market="KR",
+        exchange_code="KRX",
+        action="BUY",
+        confidence=90,
+        rationale="entry",
+        context_snapshot={},
+        input_data={},
+    )
+    log_trade(
+        conn=db_conn,
+        stock_code="005930",
+        action="BUY",
+        confidence=90,
+        rationale="entry",
+        quantity=1,
+        price=100.0,
+        market="KR",
+        exchange_code="KRX",
+        decision_id=buy_decision_id,
+    )
+
+    broker = MagicMock()
+    broker.get_current_price = AsyncMock(return_value=(100.0, 0.0, 0.0))
+    broker.get_balance = AsyncMock(
+        return_value={
+            "output1": [{"pdno": "005930", "ord_psbl_qty": "1"}],
+            "output2": [
+                {
+                    "tot_evlu_amt": "100000",
+                    "dnca_tot_amt": "10000",
+                    "pchs_amt_smtl_amt": "90000",
+                }
+            ],
+        }
+    )
+    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()
+
+    _RUNTIME_EXIT_STATES[f"{market.code}:005930:{buy_decision_id}:dummy-ts"] = PositionState.BE_LOCK
+    _RUNTIME_EXIT_PEAKS[f"{market.code}:005930:{buy_decision_id}:dummy-ts"] = 120.0
+
+    # Close position first so trading_cycle observes no open position.
+    sell_decision_id = decision_logger.log_decision(
+        stock_code="005930",
+        market="KR",
+        exchange_code="KRX",
+        action="SELL",
+        confidence=90,
+        rationale="manual close",
+        context_snapshot={},
+        input_data={},
+    )
+    log_trade(
+        conn=db_conn,
+        stock_code="005930",
+        action="SELL",
+        confidence=90,
+        rationale="manual close",
+        quantity=1,
+        price=100.0,
+        market="KR",
+        exchange_code="KRX",
+        decision_id=sell_decision_id,
+    )
+
+    await trading_cycle(
+        broker=broker,
+        overseas_broker=MagicMock(),
+        scenario_engine=MagicMock(evaluate=MagicMock(return_value=_make_hold_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={},
+    )
+
+    assert not [k for k in _RUNTIME_EXIT_STATES if k.startswith("KR:005930:")]
+    assert not [k for k in _RUNTIME_EXIT_PEAKS if k.startswith("KR:005930:")]
+
+
 @pytest.mark.asyncio
 async def test_stop_loss_not_triggered_when_current_price_is_zero() -> None:
     """HOLD must stay HOLD when current_price=0 even if entry_price is set (issue #251).
@@ -4134,6 +4354,130 @@ class TestDailyCBBaseline:
         assert result == 55000.0
 
 
+@pytest.mark.asyncio
+async def test_run_daily_session_applies_staged_exit_override_on_hold() -> None:
+    """run_daily_session must apply HOLD staged exit semantics (issue #304)."""
+    from src.analysis.smart_scanner import ScanCandidate
+
+    db_conn = init_db(":memory:")
+    log_trade(
+        conn=db_conn,
+        stock_code="005930",
+        action="BUY",
+        confidence=90,
+        rationale="entry",
+        quantity=1,
+        price=100.0,
+        market="KR",
+        exchange_code="KRX",
+        decision_id="buy-d1",
+    )
+
+    settings = Settings(
+        KIS_APP_KEY="k",
+        KIS_APP_SECRET="s",
+        KIS_ACCOUNT_NO="12345678-01",
+        GEMINI_API_KEY="g",
+        MODE="paper",
+    )
+
+    broker = MagicMock()
+    broker.get_balance = AsyncMock(
+        return_value={
+            "output1": [{"pdno": "005930", "ord_psbl_qty": "1"}],
+            "output2": [
+                {
+                    "tot_evlu_amt": "100000",
+                    "dnca_tot_amt": "10000",
+                    "pchs_amt_smtl_amt": "90000",
+                }
+            ],
+        }
+    )
+    broker.get_current_price = AsyncMock(return_value=(95.0, -5.0, 0.0))
+    broker.send_order = AsyncMock(return_value={"msg1": "OK"})
+
+    market = MagicMock()
+    market.name = "Korea"
+    market.code = "KR"
+    market.exchange_code = "KRX"
+    market.is_domestic = True
+    market.timezone = __import__("zoneinfo").ZoneInfo("Asia/Seoul")
+
+    scenario = StockScenario(
+        condition=StockCondition(rsi_below=30),
+        action=ScenarioAction.BUY,
+        confidence=88,
+        stop_loss_pct=-2.0,
+        take_profit_pct=3.0,
+        rationale="stop loss policy",
+    )
+    playbook = DayPlaybook(
+        date=date(2026, 2, 8),
+        market="KR",
+        stock_playbooks=[
+            {"stock_code": "005930", "stock_name": "Samsung", "scenarios": [scenario]}
+        ],
+    )
+    playbook_store = MagicMock()
+    playbook_store.load = MagicMock(return_value=playbook)
+
+    smart_scanner = MagicMock()
+    smart_scanner.scan = AsyncMock(
+        return_value=[
+            ScanCandidate(
+                stock_code="005930",
+                name="Samsung",
+                price=95.0,
+                volume=1_000_000.0,
+                volume_ratio=2.0,
+                rsi=42.0,
+                signal="momentum",
+                score=80.0,
+            )
+        ]
+    )
+
+    scenario_engine = MagicMock(spec=ScenarioEngine)
+    scenario_engine.evaluate = MagicMock(return_value=_make_hold_match("005930"))
+
+    risk = MagicMock()
+    risk.check_circuit_breaker = MagicMock()
+    risk.validate_order = MagicMock()
+
+    decision_logger = MagicMock()
+    decision_logger.log_decision = MagicMock(return_value="d1")
+
+    telegram = MagicMock()
+    telegram.notify_trade_execution = AsyncMock()
+    telegram.notify_scenario_matched = AsyncMock()
+
+    async def _passthrough(fn, *a, label: str = "", **kw):  # type: ignore[override]
+        return await fn(*a, **kw)
+
+    with patch("src.main.get_open_markets", return_value=[market]), \
+         patch("src.main._retry_connection", new=_passthrough):
+        await run_daily_session(
+            broker=broker,
+            overseas_broker=MagicMock(),
+            scenario_engine=scenario_engine,
+            playbook_store=playbook_store,
+            pre_market_planner=MagicMock(),
+            risk=risk,
+            db_conn=db_conn,
+            decision_logger=decision_logger,
+            context_store=MagicMock(),
+            criticality_assessor=MagicMock(),
+            telegram=telegram,
+            settings=settings,
+            smart_scanner=smart_scanner,
+            daily_start_eval=0.0,
+        )
+
+    broker.send_order.assert_called_once()
+    assert broker.send_order.call_args.kwargs["order_type"] == "SELL"
+
+
 # ---------------------------------------------------------------------------
 # sync_positions_from_broker — startup DB sync tests (issue #206)
 # ---------------------------------------------------------------------------
@@ -5310,6 +5654,88 @@ async def test_order_policy_rejection_skips_order_execution() -> None:
     broker.send_order.assert_not_called()
 
 
+def test_overnight_policy_prioritizes_killswitch_over_exception() -> None:
+    market = MagicMock()
+    with patch("src.main.get_session_info", return_value=MagicMock(session_id="US_AFTER")):
+        settings = MagicMock()
+        settings.OVERNIGHT_EXCEPTION_ENABLED = True
+        try:
+            KILL_SWITCH.new_orders_blocked = True
+            assert _should_force_exit_for_overnight(market=market, settings=settings)
+        finally:
+            KILL_SWITCH.clear_block()
+
+
+@pytest.mark.asyncio
+async def test_kill_switch_block_does_not_block_sell_reduction() -> None:
+    """KillSwitch should block BUY entries, but allow SELL risk reduction orders."""
+    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": [{"pdno": "005930", "ord_psbl_qty": "3"}],
+            "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
+    settings.OVERNIGHT_EXCEPTION_ENABLED = True
+    settings.MODE = "paper"
+
+    try:
+        KILL_SWITCH.new_orders_blocked = True
+        await trading_cycle(
+            broker=broker,
+            overseas_broker=MagicMock(),
+            scenario_engine=MagicMock(evaluate=MagicMock(return_value=_make_sell_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_called_once()
+
+
 @pytest.mark.asyncio
 async def test_blackout_queues_order_and_skips_submission() -> None:
     """When blackout is active, order submission is replaced by queueing."""

tests/test_market_schedule.py

@@ -147,6 +147,24 @@ class TestGetOpenMarkets:
         codes = [m.code for m in open_markets]
         assert codes == sorted(codes)
 
+    def test_get_open_markets_us_pre_extended_session(self) -> None:
+        """US premarket should be considered open when extended sessions enabled."""
+        # Monday 2026-02-02 08:30 EST = 13:30 UTC (premarket window)
+        test_time = datetime(2026, 2, 2, 13, 30, tzinfo=ZoneInfo("UTC"))
+
+        regular = get_open_markets(
+            enabled_markets=["US_NASDAQ", "US_NYSE", "US_AMEX"],
+            now=test_time,
+        )
+        assert regular == []
+
+        extended = get_open_markets(
+            enabled_markets=["US_NASDAQ", "US_NYSE", "US_AMEX"],
+            now=test_time,
+            include_extended_sessions=True,
+        )
+        assert {m.code for m in extended} == {"US_NASDAQ", "US_NYSE", "US_AMEX"}
+
 
 class TestGetNextMarketOpen:
     """Test get_next_market_open function."""
@@ -201,6 +219,20 @@ class TestGetNextMarketOpen:
         )
         assert market.code == "KR"
 
+    def test_get_next_market_open_prefers_extended_session(self) -> None:
+        """Extended lookup should return premarket open time before regular open."""
+        # Monday 2026-02-02 07:00 EST = 12:00 UTC
+        # By v3 KST session rules, US is OFF only in KST 07:00-10:00 (UTC 22:00-01:00).
+        # At 12:00 UTC market is active, so next OFF->ON transition is 01:00 UTC next day.
+        test_time = datetime(2026, 2, 2, 12, 0, tzinfo=ZoneInfo("UTC"))
+        market, next_open = get_next_market_open(
+            enabled_markets=["US_NASDAQ"],
+            now=test_time,
+            include_extended_sessions=True,
+        )
+        assert market.code == "US_NASDAQ"
+        assert next_open == datetime(2026, 2, 3, 1, 0, tzinfo=ZoneInfo("UTC"))
+
 
 class TestExpandMarketCodes:
     """Test shorthand market expansion."""

workflow/session-handover.md

@@ -0,0 +1,67 @@
+# Session Handover Log
+
+목적: 세션 시작 시 인수인계 확인을 기록하고, 구현/검증 작업 시작 전에 공통 컨텍스트를 강제한다.
+
+작성 규칙:
+- 세션 시작마다 최신 엔트리를 맨 아래에 추가한다.
+- `docs/workflow.md`, `docs/commands.md`, `docs/agent-constraints.md`를 먼저 확인한 뒤 기록한다.
+- 각 엔트리는 현재 작업 브랜치 기준으로 작성한다.
+
+템플릿:
+
+```md
+### YYYY-MM-DD | session=<id or short label>
+- branch: <current-branch>
+- docs_checked: docs/workflow.md, docs/commands.md, docs/agent-constraints.md
+- open_issues_reviewed: #...
+- next_ticket: #...
+- process_gate_checked: process_ticket=#..., merged_to_feature_branch=yes|no|n/a
+- risks_or_notes: ...
+```
+
+### 2026-02-27 | session=handover-gate-bootstrap
+- branch: feature/v3-session-policy-stream
+- docs_checked: docs/workflow.md, docs/commands.md, docs/agent-constraints.md
+- open_issues_reviewed: #304, #305, #306
+- next_ticket: #304
+- risks_or_notes: 세션 시작 게이트를 문서/스크립트/CI로 강제 적용
+
+### 2026-02-27 | session=codex-handover-start
+- branch: feature/v3-session-policy-stream
+- docs_checked: docs/workflow.md, docs/commands.md, docs/agent-constraints.md
+- open_issues_reviewed: #306, #308, #309
+- next_ticket: #304
+- process_gate_checked: process_ticket=#306,#308 merged_to_feature_branch=yes
+- risks_or_notes: 미추적 로컬 파일 존재(문서/DB/lock)로 커밋 범위 분리 필요
+
+### 2026-02-27 | session=codex-process-gate-hardening
+- branch: feature/issue-304-runtime-staged-exit-semantics
+- docs_checked: docs/workflow.md, docs/commands.md, docs/agent-constraints.md
+- open_issues_reviewed: #304, #305
+- next_ticket: #304
+- process_gate_checked: process_ticket=#306,#308 merged_to_feature_branch=yes
+- risks_or_notes: process-change-first 실행 게이트를 문서+스크립트로 강화
+
+### 2026-02-27 | session=codex-handover-start-2
+- branch: feature/issue-304-runtime-staged-exit-semantics
+- docs_checked: docs/workflow.md, docs/commands.md, docs/agent-constraints.md
+- open_issues_reviewed: #304, #305
+- next_ticket: #304
+- process_gate_checked: process_ticket=#306,#308 merged_to_feature_branch=yes
+- risks_or_notes: handover 재시작 요청으로 세션 엔트리 추가, 미추적 산출물(AMS/NAS/NYS, DB, lock, xlsx) 커밋 분리 필요
+
+### 2026-02-27 | session=codex-issue305-start
+- branch: feature/v3-session-policy-stream
+- docs_checked: docs/workflow.md, docs/commands.md, docs/agent-constraints.md
+- open_issues_reviewed: #305
+- next_ticket: #305
+- process_gate_checked: process_ticket=#306,#308 merged_to_feature_branch=yes
+- risks_or_notes: #305 구현을 위해 분석/백테스트 모듈 통합 경로 점검 시작
+
+### 2026-02-27 | session=codex-issue305-ticket-branch
+- branch: feature/issue-305-backtest-pipeline-integration
+- docs_checked: docs/workflow.md, docs/commands.md, docs/agent-constraints.md
+- open_issues_reviewed: #305
+- next_ticket: #305
+- process_gate_checked: process_ticket=#306,#308 merged_to_feature_branch=yes
+- risks_or_notes: 티켓 브랜치 분기 후 strict gate 재통과를 위한 엔트리 추가