analysis: apply execution-adjusted cost model in v2 backtest pipeline (#368 )

blackout: simplify recovery session_id binding to queued value
2026-03-02 03:37:24 +09:00 · 2026-03-02 03:16:55 +09:00
33 changed files with 318 additions and 1962 deletions
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -1,9 +1,187 @@
-# Agent Entry Point
+# The Ouroboros

-This file moved to [agents.md](./agents.md).
+AI-powered trading agent for global stock markets with self-evolution capabilities.

-Follow `agents.md` as the single source of truth for Claude/Codex session behavior and project workflow gates.
+## Quick Start

-Core process references:
- [Workflow Guide](docs/workflow.md)
- [Command Reference](docs/commands.md)
+```bash
+# Setup
+pip install -e ".[dev]"
+cp .env.example .env
+# Edit .env with your KIS and Gemini API credentials
+
+# Test
+pytest -v --cov=src
+
+# Run (paper trading)
+python -m src.main --mode=paper
+
+# Run with dashboard
+python -m src.main --mode=paper --dashboard
+```
+
+## Telegram Notifications (Optional)
+
+Get real-time alerts for trades, circuit breakers, and system events via Telegram.
+
+### Quick Setup
+
+1. **Create bot**: Message [@BotFather](https://t.me/BotFather) on Telegram → `/newbot`
+2. **Get chat ID**: Message [@userinfobot](https://t.me/userinfobot) → `/start`
+3. **Configure**: Add to `.env`:
+   ```bash
+   TELEGRAM_BOT_TOKEN=1234567890:ABCdefGHIjklMNOpqrsTUVwxyz
+   TELEGRAM_CHAT_ID=123456789
+   TELEGRAM_ENABLED=true
+   ```
+4. **Test**: Start bot conversation (`/start`), then run the agent
+
+**Full documentation**: [src/notifications/README.md](src/notifications/README.md)
+
+### What You'll Get
+
+- 🟢 Trade execution alerts (BUY/SELL with confidence)
+- 🚨 Circuit breaker trips (automatic trading halt)
+- ⚠️ Fat-finger rejections (oversized orders blocked)
+- ℹ️ Market open/close notifications
+- 📝 System startup/shutdown status
+
+### Interactive Commands
+
+With `TELEGRAM_COMMANDS_ENABLED=true` (default), the bot supports 9 bidirectional commands: `/help`, `/status`, `/positions`, `/report`, `/scenarios`, `/review`, `/dashboard`, `/stop`, `/resume`.
+
+**Fail-safe**: Notifications never crash the trading system. Missing credentials or API errors are logged but trading continues normally.
+
+## Smart Volatility Scanner (Optional)
+
+Python-first filtering pipeline that reduces Gemini API calls by pre-filtering stocks using technical indicators.
+
+### How It Works
+
+1. **Fetch Rankings** — KIS API volume surge rankings (top 30 stocks)
+2. **Python Filter** — RSI + volume ratio calculations (no AI)
+   - Volume > 200% of previous day
+   - RSI(14) < 30 (oversold) OR RSI(14) > 70 (momentum)
+3. **AI Judgment** — Only qualified candidates (1-3 stocks) sent to Gemini
+
+### Configuration
+
+Add to `.env` (optional, has sensible defaults):
+```bash
+RSI_OVERSOLD_THRESHOLD=30    # 0-50, default 30
+RSI_MOMENTUM_THRESHOLD=70    # 50-100, default 70
+VOL_MULTIPLIER=2.0           # Volume threshold (2.0 = 200%)
+SCANNER_TOP_N=3              # Max candidates per scan
+```
+
+### Benefits
+
+- **Reduces API costs** — Process 1-3 stocks instead of 20-30
+- **Python-based filtering** — Fast technical analysis before AI
+- **Evolution-ready** — Selection context logged for strategy optimization
+- **Fault-tolerant** — Falls back to static watchlist on API failure
+
+### Trading Mode Integration
+
+Smart Scanner runs in both `TRADE_MODE=realtime` and `daily` paths. On API failure, domestic stocks fall back to a static watchlist; overseas stocks fall back to a dynamic universe (active positions, recent holdings).
+
+## Documentation
+
+- **[Documentation Hub](docs/README.md)** — Top-level doc routing and reading order
+- **[Workflow Guide](docs/workflow.md)** — Git workflow policy and agent-based development
+- **[Command Reference](docs/commands.md)** — Common failures, build commands, troubleshooting
+- **[Architecture](docs/architecture.md)** — System design, components, data flow
+- **[Context Tree](docs/context-tree.md)** — L1-L7 hierarchical memory system
+- **[Testing](docs/testing.md)** — Test structure, coverage requirements, writing tests
+- **[Agent Policies](docs/agents.md)** — Prime directives, constraints, prohibited actions
+- **[Requirements Log](docs/requirements-log.md)** — User requirements and feedback tracking
+- **[Live Trading Checklist](docs/live-trading-checklist.md)** — 모의→실전 전환 체크리스트
+
+## Core Principles
+
+1. **Safety First** — Risk manager is READ-ONLY and enforces circuit breakers
+2. **Test Everything** — 80% coverage minimum, all changes require tests
+3. **Issue-Driven Development** — All work goes through Gitea issues → feature branches → PRs
+4. **Agent Specialization** — Use dedicated agents for design, coding, testing, docs, review
+
+## Requirements Management
+
+User requirements and feedback are tracked in [docs/requirements-log.md](docs/requirements-log.md):
+
+- New requirements are added chronologically with dates
+- Code changes should reference related requirements
+- Helps maintain project evolution aligned with user needs
+- Preserves context across conversations and development cycles
+
+## Project Structure
+
+```
+src/
+├── analysis/        # Technical analysis (RSI, volatility, smart scanner)
+├── backup/          # Disaster recovery (scheduler, cloud storage, health)
+├── brain/           # Gemini AI decision engine (prompt optimizer, context selector)
+├── broker/          # KIS API client (domestic + overseas)
+├── context/         # L1-L7 hierarchical memory system
+├── core/            # Risk manager (READ-ONLY)
+├── dashboard/       # FastAPI read-only monitoring (10 API endpoints)
+├── data/            # External data integration (news, market data, calendar)
+├── evolution/       # Self-improvement (optimizer, daily review, scorecard)
+├── logging/         # Decision logger (audit trail)
+├── markets/         # Market schedules and timezone handling
+├── notifications/   # Telegram alerts + bidirectional commands (9 commands)
+├── strategy/        # Pre-market planner, scenario engine, playbook store
+├── db.py            # SQLite trade logging
+├── main.py          # Trading loop orchestrator
+└── config.py        # Settings (from .env)
+
+tests/               # 998 tests across 41 files
+docs/                # Extended documentation
+```
+
+## Key Commands
+
+```bash
+pytest -v --cov=src              # Run tests with coverage
+ruff check src/ tests/           # Lint
+mypy src/ --strict               # Type check
+
+python -m src.main --mode=paper  # Paper trading
+python -m src.main --mode=paper --dashboard  # With dashboard
+python -m src.main --mode=live   # Live trading (⚠️ real money)
+
+# Gitea workflow (requires tea CLI)
+YES="" ~/bin/tea issues create --repo jihoson/The-Ouroboros --title "..." --description "..."
+YES="" ~/bin/tea pulls create --head feature-branch --base main --title "..." --description "..."
+```
+
+## Markets Supported
+
+- 🇰🇷 Korea (KRX)
+- 🇺🇸 United States (NASDAQ, NYSE, AMEX)
+- 🇯🇵 Japan (TSE)
+- 🇭🇰 Hong Kong (SEHK)
+- 🇨🇳 China (Shanghai, Shenzhen)
+- 🇻🇳 Vietnam (Hanoi, HCM)
+
+Markets auto-detected based on timezone and enabled in `ENABLED_MARKETS` env variable.
+
+## Critical Constraints
+
+⚠️ **Non-Negotiable Rules** (see [docs/agents.md](docs/agents.md)):
+
+- `src/core/risk_manager.py` is **READ-ONLY** — changes require human approval
+- Circuit breaker at -3.0% P&L — may only be made **stricter**
+- Fat-finger protection: max 30% of cash per order — always enforced
+- Confidence 임계값 (market_outlook별, 낮출 수 없음): BEARISH ≥ 90, NEUTRAL/기본 ≥ 80, BULLISH ≥ 75
+- All code changes → corresponding tests → coverage ≥ 80%
+
+## Contributing
+
+See [docs/workflow.md](docs/workflow.md) for the complete development process.
+
+**TL;DR:**
+1. Create issue in Gitea
+2. Create feature branch: `feature/issue-N-description`
+3. Implement with tests
+4. Open PR
+5. Merge after review
--- a/agents.md
+++ b/agents.md
@@ -1,199 +0,0 @@
-# The Ouroboros
-
-AI-powered trading agent for global stock markets with self-evolution capabilities.
-
-## Agent Workflow Gate (Claude/Codex)
-
-Before any implementation, both Claude and Codex must align on the same project process:
-
-1. Read `docs/workflow.md` first (branch policy, issue/PR flow, merge rules).
-2. Read `docs/commands.md` for required verification commands and failure handling.
-3. Read `docs/agent-constraints.md` and `docs/agents.md` for safety constraints.
-4. Check `workflow/session-handover.md` and append a session entry when starting or handing off work.
-5. Confirm current branch is based on `main` or an explicitly designated temporary/base branch before editing.
-
-If any instruction conflicts, default to the safer path and document the reason in the handover log.
-
-## Quick Start
-
-```bash
-# Setup
-pip install -e ".[dev]"
-cp .env.example .env
-# Edit .env with your KIS and Gemini API credentials
-
-# Test
-pytest -v --cov=src
-
-# Run (paper trading)
-python -m src.main --mode=paper
-
-# Run with dashboard
-python -m src.main --mode=paper --dashboard
-```
-
-## Telegram Notifications (Optional)
-
-Get real-time alerts for trades, circuit breakers, and system events via Telegram.
-
-### Quick Setup
-
-1. **Create bot**: Message [@BotFather](https://t.me/BotFather) on Telegram → `/newbot`
-2. **Get chat ID**: Message [@userinfobot](https://t.me/userinfobot) → `/start`
-3. **Configure**: Add to `.env`:
-   ```bash
-   TELEGRAM_BOT_TOKEN=1234567890:ABCdefGHIjklMNOpqrsTUVwxyz
-   TELEGRAM_CHAT_ID=123456789
-   TELEGRAM_ENABLED=true
-   ```
-4. **Test**: Start bot conversation (`/start`), then run the agent
-
-**Full documentation**: [src/notifications/README.md](src/notifications/README.md)
-
-### What You'll Get
-
- 🟢 Trade execution alerts (BUY/SELL with confidence)
- 🚨 Circuit breaker trips (automatic trading halt)
- ⚠️ Fat-finger rejections (oversized orders blocked)
- ℹ️ Market open/close notifications
- 📝 System startup/shutdown status
-
-### Interactive Commands
-
-With `TELEGRAM_COMMANDS_ENABLED=true` (default), the bot supports 9 bidirectional commands: `/help`, `/status`, `/positions`, `/report`, `/scenarios`, `/review`, `/dashboard`, `/stop`, `/resume`.
-
-**Fail-safe**: Notifications never crash the trading system. Missing credentials or API errors are logged but trading continues normally.
-
-## Smart Volatility Scanner (Optional)
-
-Python-first filtering pipeline that reduces Gemini API calls by pre-filtering stocks using technical indicators.
-
-### How It Works
-
-1. **Fetch Rankings** — KIS API volume surge rankings (top 30 stocks)
-2. **Python Filter** — RSI + volume ratio calculations (no AI)
-   - Volume > 200% of previous day
-   - RSI(14) < 30 (oversold) OR RSI(14) > 70 (momentum)
-3. **AI Judgment** — Only qualified candidates (1-3 stocks) sent to Gemini
-
-### Configuration
-
-Add to `.env` (optional, has sensible defaults):
-```bash
-RSI_OVERSOLD_THRESHOLD=30    # 0-50, default 30
-RSI_MOMENTUM_THRESHOLD=70    # 50-100, default 70
-VOL_MULTIPLIER=2.0           # Volume threshold (2.0 = 200%)
-SCANNER_TOP_N=3              # Max candidates per scan
-```
-
-### Benefits
-
- **Reduces API costs** — Process 1-3 stocks instead of 20-30
- **Python-based filtering** — Fast technical analysis before AI
- **Evolution-ready** — Selection context logged for strategy optimization
- **Fault-tolerant** — Falls back to static watchlist on API failure
-
-### Trading Mode Integration
-
-Smart Scanner runs in both `TRADE_MODE=realtime` and `daily` paths. On API failure, domestic stocks fall back to a static watchlist; overseas stocks fall back to a dynamic universe (active positions, recent holdings).
-
-## Documentation
-
- **[Documentation Hub](docs/README.md)** — Top-level doc routing and reading order
- **[Workflow Guide](docs/workflow.md)** — Git workflow policy and agent-based development
- **[Command Reference](docs/commands.md)** — Common failures, build commands, troubleshooting
- **[Architecture](docs/architecture.md)** — System design, components, data flow
- **[Context Tree](docs/context-tree.md)** — L1-L7 hierarchical memory system
- **[Testing](docs/testing.md)** — Test structure, coverage requirements, writing tests
- **[Agent Policies](docs/agents.md)** — Prime directives, constraints, prohibited actions
- **[Requirements Log](docs/requirements-log.md)** — User requirements and feedback tracking
- **[Live Trading Checklist](docs/live-trading-checklist.md)** — 모의→실전 전환 체크리스트
-
-## Core Principles
-
-1. **Safety First** — Risk manager is READ-ONLY and enforces circuit breakers
-2. **Test Everything** — 80% coverage minimum, all changes require tests
-3. **Issue-Driven Development** — All work goes through Gitea issues → feature branches → PRs
-4. **Agent Specialization** — Use dedicated agents for design, coding, testing, docs, review
-
-## Requirements Management
-
-User requirements and feedback are tracked in [docs/requirements-log.md](docs/requirements-log.md):
-
- New requirements are added chronologically with dates
- Code changes should reference related requirements
- Helps maintain project evolution aligned with user needs
- Preserves context across conversations and development cycles
-
-## Project Structure
-
-```
-src/
-├── analysis/        # Technical analysis (RSI, volatility, smart scanner)
-├── backup/          # Disaster recovery (scheduler, cloud storage, health)
-├── brain/           # Gemini AI decision engine (prompt optimizer, context selector)
-├── broker/          # KIS API client (domestic + overseas)
-├── context/         # L1-L7 hierarchical memory system
-├── core/            # Risk manager (READ-ONLY)
-├── dashboard/       # FastAPI read-only monitoring (10 API endpoints)
-├── data/            # External data integration (news, market data, calendar)
-├── evolution/       # Self-improvement (optimizer, daily review, scorecard)
-├── logging/         # Decision logger (audit trail)
-├── markets/         # Market schedules and timezone handling
-├── notifications/   # Telegram alerts + bidirectional commands (9 commands)
-├── strategy/        # Pre-market planner, scenario engine, playbook store
-├── db.py            # SQLite trade logging
-├── main.py          # Trading loop orchestrator
-└── config.py        # Settings (from .env)
-
-tests/               # 998 tests across 41 files
-docs/                # Extended documentation
-```
-
-## Key Commands
-
-```bash
-pytest -v --cov=src              # Run tests with coverage
-ruff check src/ tests/           # Lint
-mypy src/ --strict               # Type check
-
-python -m src.main --mode=paper  # Paper trading
-python -m src.main --mode=paper --dashboard  # With dashboard
-python -m src.main --mode=live   # Live trading (⚠️ real money)
-
-# Gitea workflow (requires tea CLI)
-YES="" ~/bin/tea issues create --repo jihoson/The-Ouroboros --title "..." --description "..."
-YES="" ~/bin/tea pulls create --head feature-branch --base main --title "..." --description "..."
-```
-
-## Markets Supported
-
- 🇰🇷 Korea (KRX)
- 🇺🇸 United States (NASDAQ, NYSE, AMEX)
- 🇯🇵 Japan (TSE)
- 🇭🇰 Hong Kong (SEHK)
- 🇨🇳 China (Shanghai, Shenzhen)
- 🇻🇳 Vietnam (Hanoi, HCM)
-
-Markets auto-detected based on timezone and enabled in `ENABLED_MARKETS` env variable.
-
-## Critical Constraints
-
-⚠️ **Non-Negotiable Rules** (see [docs/agents.md](docs/agents.md)):
-
- `src/core/risk_manager.py` is **READ-ONLY** — changes require human approval
- Circuit breaker at -3.0% P&L — may only be made **stricter**
- Fat-finger protection: max 30% of cash per order — always enforced
- Confidence 임계값 (market_outlook별, 낮출 수 없음): BEARISH ≥ 90, NEUTRAL/기본 ≥ 80, BULLISH ≥ 75
- All code changes → corresponding tests → coverage ≥ 80%
-
-## Contributing
-
-See [docs/workflow.md](docs/workflow.md) for the complete development process.
-
-**TL;DR:**
-1. Create issue in Gitea
-2. Create feature branch: `feature/issue-N-description`
-3. Implement with tests
-4. Open PR
-5. Merge after review
--- a/docs/commands.md
+++ b/docs/commands.md
@@ -59,18 +59,6 @@ scripts/tea_comment.sh 374 /tmp/comment.md
 - `scripts/tea_comment.sh` accepts stdin with `-` as body source.
 - The helper fails fast when body looks like escaped-newline text only.

-#### PR Body Post-Check (Mandatory)
-
-PR 생성 직후 본문이 `\n` 문자열로 깨지지 않았는지 반드시 확인한다.
-
-```bash
-python3 scripts/validate_pr_body.py --pr <PR_NUMBER>
-```
-
-검증 실패 시:
- PR 본문을 API patch 또는 파일 기반 본문으로 즉시 수정
- 같은 명령으로 재검증 통과 후에만 리뷰/머지 진행
-
 #### ❌ TTY Error - Interactive Confirmation Fails
 ```bash
 ~/bin/tea issues create --repo X --title "Y" --description "Z"
--- a/docs/ouroboros/01_requirements_registry.md
+++ b/docs/ouroboros/01_requirements_registry.md
@@ -1,6 +1,6 @@
 <!--
 Doc-ID: DOC-REQ-001
-Version: 1.0.12
+Version: 1.0.3
 Status: active
 Owner: strategy
 Updated: 2026-03-02
@@ -19,14 +19,14 @@ Updated: 2026-03-02
 - `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(실패 시 최대 3회, 1s/2s backoff 재시도, 성공 시 즉시 중단) -> 리스크축소 -> 스냅샷 순서다.
+- `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 bounded Queue에 적재되며, 포화 시 oldest-drop 정책으로 최신 intent를 보존하고 복구 후 유효성 재검증을 거친다.
+- `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.
@@ -38,7 +38,3 @@ Updated: 2026-03-02
 - `REQ-OPS-002`: 문서의 수치 정책은 원장에서만 변경한다.
 - `REQ-OPS-003`: 구현 태스크는 반드시 테스트 태스크를 동반한다.
 - `REQ-OPS-004`: 원본 계획 문서(`v2`, `v3`)는 `docs/ouroboros/source/` 경로를 단일 기준으로 사용한다.
-
-## 변경 이력
-
- 2026-03-02: `v1.0.12` 문서 검증 게이트 강화(#390) 반영에 따라 정책 문서 동기화 체크를 수행했다. (`REQ-OPS-002`)
--- a/docs/ouroboros/80_implementation_audit.md
+++ b/docs/ouroboros/80_implementation_audit.md
@@ -9,7 +9,7 @@ Updated: 2026-03-02
 # v2/v3 구현 감사 및 수익률 분석 보고서

 작성일: 2026-02-28
-최종 업데이트: 2026-03-02 (#377 kill-switch refresh 재시도 정책 반영)
+최종 업데이트: 2026-03-02 (#373 상태표 정합화 반영)
 대상 기간: 2026-02-25 ~ 2026-02-28 (실거래)
 분석 브랜치: `feature/v3-session-policy-stream`

@@ -32,23 +32,23 @@ Updated: 2026-03-02
 | REQ-V2-001 | 4-상태 매도 상태기계 (HOLDING→BE_LOCK→ARMED→EXITED) | `src/strategy/position_state_machine.py` | ✅ 완료 |
 | REQ-V2-002 | 즉시 최상위 상태 승격 (갭 대응) | `position_state_machine.py:51-70` | ✅ 완료 |
 | REQ-V2-003 | EXITED 우선 평가 | `position_state_machine.py:38-48` | ✅ 완료 |
-| REQ-V2-004 | 4중 청산 로직 (Hard/BE/ATR Trailing/Model assist-only, 직접 EXIT 미트리거) | `src/strategy/exit_rules.py` | ✅ 완료 |
+| REQ-V2-004 | 4중 청산 로직 (Hard/BE/ATR Trailing/Model) | `src/strategy/exit_rules.py` | ⚠️ 부분 (`#369`) |
 | REQ-V2-005 | Triple Barrier 라벨링 | `src/analysis/triple_barrier.py` | ✅ 완료 |
 | REQ-V2-006 | Walk-Forward + Purge/Embargo 검증 | `src/analysis/walk_forward_split.py` | ✅ 완료 |
 | REQ-V2-007 | 비용/슬리피지/체결실패 모델 필수 | `src/analysis/backtest_cost_guard.py`, `src/analysis/backtest_pipeline.py` | ✅ 완료 |
-| REQ-V2-008 | Kill Switch 실행 순서 (Block→Cancel→Refresh(retry)→Reduce→Snapshot) | `src/core/kill_switch.py` | ✅ 완료 |
+| REQ-V2-008 | Kill Switch 실행 순서 (Block→Cancel→Refresh→Reduce→Snapshot) | `src/core/kill_switch.py` | ⚠️ 부분 (`#377`) |

 ### 1.3 v3 구현 상태: 부분 완료 (2026-03-02 기준)

 | REQ-ID | 요구사항 | 상태 | 비고 |
 |--------|----------|------|------|
 | REQ-V3-001 | 모든 신호/주문/로그에 session_id 포함 | ⚠️ 부분 | 큐 intent에 `session_id` 누락 (`#375`) |
-| REQ-V3-002 | 세션 전환 훅 + 리스크 파라미터 재로딩 | ✅ 완료 | 세션 경계 E2E 회귀(override 적용/해제 + 재로딩 실패 폴백) 보강 (`#376`) |
+| REQ-V3-002 | 세션 전환 훅 + 리스크 파라미터 재로딩 | ⚠️ 부분 | 구현 존재, 세션 경계 E2E 회귀 보강 필요 (`#376`) |
 | REQ-V3-003 | 블랙아웃 윈도우 정책 | ✅ 완료 | `src/core/blackout_manager.py` |
-| REQ-V3-004 | 블랙아웃 큐 + 복구 시 재검증 | ✅ 완료 | DB 기록(`#324`), 재검증 강화(`#328`), 큐 포화 oldest-drop(`#371`) 반영 |
+| REQ-V3-004 | 블랙아웃 큐 + 복구 시 재검증 | ⚠️ 부분 | 큐 포화 시 intent 유실 경로 존재 (`#371`), 재검증 강화를 `#328`에서 추적 |
 | REQ-V3-005 | 저유동 세션 시장가 금지 | ✅ 완료 | `src/core/order_policy.py` |
 | REQ-V3-006 | 보수적 백테스트 체결 (불리 방향) | ✅ 완료 | `src/analysis/backtest_execution_model.py` |
-| REQ-V3-007 | FX 손익 분리 (전략 PnL vs 환율 PnL) | ⚠️ 부분 | 런타임 분리 계산/전달 적용 (`#370`), buy-side `fx_rate` 미관측 시 `fx_pnl=0` fallback |
+| REQ-V3-007 | FX 손익 분리 (전략 PnL vs 환율 PnL) | ⚠️ 부분 | 스키마 존재, 런타임 분리 계산/전달 미적용 (`#370`) |
 | REQ-V3-008 | 오버나잇 예외 vs Kill Switch 우선순위 | ✅ 완료 | `src/main.py` — `_should_force_exit_for_overnight()`, `_apply_staged_exit_override_for_hold()` |

 ### 1.4 운영 거버넌스: 부분 완료 (2026-03-02 재평가)
@@ -80,22 +80,22 @@ Updated: 2026-03-02
 - **해소**: #326 머지 — `log_trade()` 호출 시 런타임 `session_id` 명시적 전달
 - **요구사항**: REQ-V3-001

-### GAP-3: 세션 전환 시 리스크 파라미터 재로딩 없음 → ✅ 해소 (#327, #376)
+### GAP-3: 세션 전환 시 리스크 파라미터 재로딩 없음 → ⚠️ 부분 해소 (#327)

 - **위치**: `src/main.py`, `src/config.py`
 - **해소 내용**: #327 머지 — `SESSION_RISK_PROFILES_JSON` 기반 세션별 파라미터 재로딩 메커니즘 구현
  - `SESSION_RISK_RELOAD_ENABLED=true` 시 세션 경계에서 파라미터 재로딩
  - 재로딩 실패 시 기존 파라미터 유지 (안전 폴백)
- **해소**: 세션 경계 E2E 회귀 테스트를 추가해 override 적용/해제, 재로딩 실패 시 폴백 유지를 검증함 (`#376`)
+- **잔여 갭**: 세션 경계 실시간 전환 E2E 통합 테스트 보강 필요 (`test_main.py`에 설정 오버라이드/폴백 단위 테스트는 존재)
 - **요구사항**: REQ-V3-002

-### GAP-4: 블랙아웃 복구 DB 기록 + 재검증 → ✅ 해소 (#324, #328, #371)
+### GAP-4: 블랙아웃 복구 DB 기록 + 재검증 → ⚠️ 부분 해소 (#324, #328, #371)

 - **위치**: `src/core/blackout_manager.py`, `src/main.py`
 - **현 상태**:
-  - #324: 복구 주문 DB 기록 구현 및 테스트 반영
-  - #328: 가격/세션 재검증 강화 구현 및 머지 완료
-  - #371: 큐 포화 정책을 oldest-drop으로 명시/구현해 최신 intent 유실 경로 제거
+  - #324 추적 범위(DB 기록)는 구현 경로가 존재
+  - #328 범위(가격/세션 재검증 강화)는 추적 이슈 오픈 상태
+  - #371: 큐 포화 시 intent 유실 경로가 남아 있어 `REQ-V3-004`를 완료로 보기 어려움
 - **요구사항**: REQ-V3-004

 ### GAP-5: 시간장벽이 봉 개수 고정 → ✅ 해소 (#329)
@@ -107,12 +107,10 @@ Updated: 2026-03-02
  - `max_holding_bars` deprecated 경고 유지 (하위 호환)
 - **요구사항**: REQ-V2-005 / v3 확장

-### GAP-6 (신규): FX PnL 분리 부분 해소 (MEDIUM)
+### GAP-6 (신규): FX PnL 분리 미완료 (MEDIUM — 부분 구현)

 - **위치**: `src/db.py` (`fx_pnl`, `strategy_pnl` 컬럼 존재)
- **현 상태**: 런타임 SELL 경로에서 `strategy_pnl`/`fx_pnl` 분리 계산 및 전달을 적용함 (`#370`).
- **운영 메모**: `trading_cycle`은 scanner 기반 `selection_context`에 `fx_rate`를 추가하고, `run_daily_session`은 scanner 컨텍스트 없이 `fx_rate` 스냅샷만 기록한다.
- **잔여**: 과거 BUY 레코드에 `fx_rate`가 없으면 해외 구간도 `fx_pnl=0` fallback으로 기록됨.
+- **문제**: 스키마와 함수는 존재하지만 런타임 경로에서 `strategy_pnl`/`fx_pnl` 분리 계산 전달이 누락됨 (`#370`)
 - **영향**: USD 거래에서 환율 손익과 전략 손익이 분리되지 않아 성과 분석 부정확
 - **요구사항**: REQ-V3-007

@@ -328,7 +326,7 @@ Updated: 2026-03-02
 | 블랙아웃 복구 주문 `log_trade()` 추가 (GAP-4) | #324 | ✅ 머지 |
 | 세션 전환 리스크 파라미터 동적 재로딩 (GAP-3) | #327 | ✅ 머지 |
 | session_id 거래/의사결정 로그 명시 전달 (GAP-1, GAP-2) | #326 | ✅ 머지 |
-| 블랙아웃 복구 가격/세션 재검증 강화 (GAP-4) | #328 | ✅ 머지 |
+| 블랙아웃 복구 가격/세션 재검증 강화 (GAP-4 잔여) | #328 | ✅ 머지 |

 **잔여 개선 항목:**

@@ -337,6 +335,7 @@ Updated: 2026-03-02
 | P1 | US 시장 ATR 공급 경로 완성 (ROOT-5 잔여) | 중간 |
 | P1 | FX PnL 운영 활성화 (REQ-V3-007) | 낮음 |
 | P2 | pred_down_prob ML 모델 대체 (ROOT-5 잔여) | 높음 |
+| P2 | 세션 경계 E2E 통합 테스트 보강 (GAP-3 잔여) | 낮음 |

 ### 5.3 권장 실행 순서

@@ -393,7 +392,8 @@ Phase 3 (중기): v3 세션 최적화

 ### 테스트 미존재 (잔여)

- ✅ 세션 전환 훅 콜백/세션 경계 리스크 재로딩 E2E 회귀 (`#376`)
+- ❌ 세션 전환 훅 콜백 (GAP-3 잔여)
+- ❌ 세션 경계 리스크 파라미터 재로딩 단위 테스트 (GAP-3 잔여)
 - ❌ 실거래 경로 ↔ v2 상태기계 통합 테스트 (피처 공급 포함)
 - ❌ FX PnL 운영 활성화 검증 (GAP-6)

--- a/docs/workflow.md
+++ b/docs/workflow.md
@@ -128,16 +128,6 @@ tea pr create \
  --description "$PR_BODY"
 ```

-PR 생성 직후 본문 무결성 검증(필수):
-
-```bash
-python3 scripts/validate_pr_body.py --pr <PR_NUMBER>
-```
-
-강제 규칙:
- 검증 실패(`\n` 리터럴, 코드펜스 불균형, 헤더/리스트 누락) 상태에서는 리뷰/머지 금지
- 본문 수정 후 같은 명령으로 재검증 통과 필요
-
 금지 패턴:

 - `-d "line1\nline2"` (웹 UI에 `\n` 문자 그대로 노출될 수 있음)
--- a/scripts/run_overnight.sh
+++ b/scripts/run_overnight.sh
@@ -8,32 +8,8 @@ CHECK_INTERVAL="${CHECK_INTERVAL:-30}"
 TMUX_AUTO="${TMUX_AUTO:-true}"
 TMUX_ATTACH="${TMUX_ATTACH:-true}"
 TMUX_SESSION_PREFIX="${TMUX_SESSION_PREFIX:-ouroboros_overnight}"
-STARTUP_GRACE_SEC="${STARTUP_GRACE_SEC:-3}"
-dashboard_port="${DASHBOARD_PORT:-8080}"
-APP_CMD_BIN="${APP_CMD_BIN:-}"
-APP_CMD_ARGS="${APP_CMD_ARGS:-}"
-RUNS_DASHBOARD="false"

-# Custom override contract:
-# 1) Preferred: APP_CMD_BIN + APP_CMD_ARGS
-#    - APP_CMD_BIN is treated as a single executable token.
-#    - APP_CMD_ARGS uses shell-style word splitting; quote/escape inside this
-#      variable is NOT preserved as a nested shell parse.
-# 2) Legacy fallback: APP_CMD (raw shell command string)
-#    - This path remains for backward compatibility.
-#    - When APP_CMD includes --dashboard, caller should include explicit
-#      DASHBOARD_PORT assignment in APP_CMD if non-default port is required.
-
-if [ -n "$APP_CMD_BIN" ]; then
-    USE_DEFAULT_APP_CMD="false"
-    USE_SAFE_CUSTOM_APP_CMD="true"
-    APP_CMD="${APP_CMD_BIN} ${APP_CMD_ARGS}"
-    if [[ " $APP_CMD_ARGS " == *" --dashboard "* ]]; then
-        RUNS_DASHBOARD="true"
-    fi
-elif [ -z "${APP_CMD:-}" ]; then
-    USE_DEFAULT_APP_CMD="true"
-    USE_SAFE_CUSTOM_APP_CMD="false"
+if [ -z "${APP_CMD:-}" ]; then
    if [ -x ".venv/bin/python" ]; then
        PYTHON_BIN=".venv/bin/python"
    elif command -v python3 >/dev/null 2>&1; then
@@ -45,14 +21,9 @@ elif [ -z "${APP_CMD:-}" ]; then
        exit 1
    fi

-    APP_CMD="$PYTHON_BIN -m src.main --mode=live --dashboard"
-    RUNS_DASHBOARD="true"
-else
-    USE_DEFAULT_APP_CMD="false"
-    USE_SAFE_CUSTOM_APP_CMD="false"
-    if [[ "$APP_CMD" == *"--dashboard"* ]]; then
-        RUNS_DASHBOARD="true"
-    fi
+    dashboard_port="${DASHBOARD_PORT:-8080}"
+
+    APP_CMD="DASHBOARD_PORT=$dashboard_port $PYTHON_BIN -m src.main --mode=live --dashboard"
 fi

 mkdir -p "$LOG_DIR"
@@ -63,24 +34,6 @@ WATCHDOG_LOG="$LOG_DIR/watchdog_${timestamp}.log"
 PID_FILE="$LOG_DIR/app.pid"
 WATCHDOG_PID_FILE="$LOG_DIR/watchdog.pid"

-is_port_in_use() {
-    local port="$1"
-    if command -v ss >/dev/null 2>&1; then
-        ss -ltn 2>/dev/null | grep -Eq ":${port}[[:space:]]"
-        return $?
-    fi
-    if command -v lsof >/dev/null 2>&1; then
-        lsof -nP -iTCP:"$port" -sTCP:LISTEN >/dev/null 2>&1
-        return $?
-    fi
-    if command -v netstat >/dev/null 2>&1; then
-        netstat -ltn 2>/dev/null | grep -Eq "[:.]${port}[[:space:]]"
-        return $?
-    fi
-    # No supported socket inspection command found.
-    return 1
-}
-
 if [ -f "$PID_FILE" ]; then
    old_pid="$(cat "$PID_FILE" || true)"
    if [ -n "$old_pid" ] && kill -0 "$old_pid" 2>/dev/null; then
@@ -90,29 +43,7 @@ if [ -f "$PID_FILE" ]; then
 fi

 echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] starting: $APP_CMD" | tee -a "$RUN_LOG"
-if [ "$RUNS_DASHBOARD" = "true" ] && is_port_in_use "$dashboard_port"; then
-    echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] startup failed: dashboard port ${dashboard_port} already in use" | tee -a "$RUN_LOG"
-    exit 1
-fi
-
-if [ "$USE_DEFAULT_APP_CMD" = "true" ]; then
-    # Default path avoids shell word-splitting on executable paths.
-    nohup env DASHBOARD_PORT="$dashboard_port" "$PYTHON_BIN" -m src.main --mode=live --dashboard >>"$RUN_LOG" 2>&1 &
-elif [ "$USE_SAFE_CUSTOM_APP_CMD" = "true" ]; then
-    # Safer custom path: executable path is handled as a single token.
-    if [ -n "$APP_CMD_ARGS" ]; then
-        # shellcheck disable=SC2206
-        app_args=( $APP_CMD_ARGS )
-        nohup env DASHBOARD_PORT="$dashboard_port" "$APP_CMD_BIN" "${app_args[@]}" >>"$RUN_LOG" 2>&1 &
-    else
-        nohup env DASHBOARD_PORT="$dashboard_port" "$APP_CMD_BIN" >>"$RUN_LOG" 2>&1 &
-    fi
-else
-    # Custom APP_CMD is treated as a shell command string.
-    # If executable paths include spaces, they must be quoted inside APP_CMD.
-    # Legacy compatibility path: caller owns quoting and env var injection.
-    nohup bash -lc "exec env $APP_CMD" >>"$RUN_LOG" 2>&1 &
-fi
+nohup bash -lc "$APP_CMD" >>"$RUN_LOG" 2>&1 &
 app_pid=$!
 echo "$app_pid" > "$PID_FILE"

@@ -123,20 +54,6 @@ nohup env PID_FILE="$PID_FILE" LOG_FILE="$WATCHDOG_LOG" CHECK_INTERVAL="$CHECK_I
 watchdog_pid=$!
 echo "$watchdog_pid" > "$WATCHDOG_PID_FILE"

-sleep "$STARTUP_GRACE_SEC"
-if ! kill -0 "$app_pid" 2>/dev/null; then
-    echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] startup failed: app process exited early (pid=$app_pid)" | tee -a "$RUN_LOG"
-    [ -n "${watchdog_pid:-}" ] && kill "$watchdog_pid" 2>/dev/null || true
-    tail -n 20 "$RUN_LOG" || true
-    exit 1
-fi
-if ! kill -0 "$watchdog_pid" 2>/dev/null; then
-    echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] startup failed: watchdog exited early (pid=$watchdog_pid)" | tee -a "$WATCHDOG_LOG"
-    kill "$app_pid" 2>/dev/null || true
-    tail -n 20 "$WATCHDOG_LOG" || true
-    exit 1
-fi
-
 cat <<EOF
 시작 완료
 - app pid: $app_pid
--- a/scripts/runtime_verify_monitor.sh
+++ b/scripts/runtime_verify_monitor.sh
@@ -7,15 +7,12 @@ ROOT_DIR="${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}"
-MAX_LOOPS="${MAX_LOOPS:-0}"
 POLICY_TZ="${POLICY_TZ:-Asia/Seoul}"
-DASHBOARD_PORT="${DASHBOARD_PORT:-8080}"

 cd "$ROOT_DIR"

 OUT_LOG="$LOG_DIR/runtime_verify_$(date +%Y%m%d_%H%M%S).log"
 END_TS=$(( $(date +%s) + MAX_HOURS*3600 ))
-loops=0

 log() {
  printf '%s %s\n' "$(date -u +%Y-%m-%dT%H:%M:%SZ)" "$1" | tee -a "$OUT_LOG" >/dev/null
@@ -34,11 +31,6 @@ check_signal() {
  return 1
 }

-find_live_pids() {
-  # Detect live-mode process even when run_overnight pid files are absent.
-  pgrep -af "[s]rc.main --mode=live" 2>/dev/null | awk '{print $1}' | tr '\n' ',' | sed 's/,$//'
-}
-
 check_forbidden() {
  local name="$1"
  local pattern="$2"
@@ -52,94 +44,42 @@ check_forbidden() {
  return 0
 }

-is_port_listening() {
-  local port="$1"
-
-  if command -v ss >/dev/null 2>&1; then
-    ss -ltn 2>/dev/null | grep -Eq ":${port}[[:space:]]"
-    return $?
-  fi
-  if command -v lsof >/dev/null 2>&1; then
-    lsof -nP -iTCP:"$port" -sTCP:LISTEN >/dev/null 2>&1
-    return $?
-  fi
-  if command -v netstat >/dev/null 2>&1; then
-    netstat -ltn 2>/dev/null | grep -Eq "[:.]${port}[[:space:]]"
-    return $?
-  fi
-  return 1
-}
-
 log "[INFO] runtime verify monitor started interval=${INTERVAL_SEC}s max_hours=${MAX_HOURS} policy_tz=${POLICY_TZ}"

 while true; do
-  loops=$((loops + 1))
  now=$(date +%s)
  if [ "$now" -ge "$END_TS" ]; then
    log "[INFO] monitor completed (time window reached)"
    exit 0
  fi
-  if [ "$MAX_LOOPS" -gt 0 ] && [ "$loops" -gt "$MAX_LOOPS" ]; then
-    log "[INFO] monitor completed (max loops 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)"
-  live_pids="$(find_live_pids)"
  app_alive=0
  wd_alive=0
  port_alive=0
  [ -n "$app_pid" ] && kill -0 "$app_pid" 2>/dev/null && app_alive=1
  [ -n "$wd_pid" ] && kill -0 "$wd_pid" 2>/dev/null && wd_alive=1
-  if [ "$app_alive" -eq 0 ] && [ -n "$live_pids" ]; then
-    app_alive=1
-  fi
-  is_port_listening "$DASHBOARD_PORT" && port_alive=1
-  log "[HEARTBEAT] run_log=${latest_run:-none} app_alive=$app_alive watchdog_alive=$wd_alive port=${DASHBOARD_PORT} alive=$port_alive live_pids=${live_pids:-none}"
-
-  defer_log_checks=0
-  if [ -z "$latest_run" ] && [ "$app_alive" -eq 1 ]; then
-    defer_log_checks=1
-    log "[INFO] run log not yet available; defer log-based coverage checks"
-  fi
-
-  if [ -z "$latest_run" ] && [ "$defer_log_checks" -eq 0 ]; then
-    log "[ANOMALY] no run log found"
-  fi
+  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
-  if [ "$app_alive" -eq 1 ]; then
-    log "[COVERAGE] LIVE_MODE=PASS source=process_liveness"
-  else
-    if [ -n "$latest_run" ]; then
  check_signal "LIVE_MODE" "Mode: live" "$latest_run" || not_observed=$((not_observed+1))
-    else
-      log "[COVERAGE] LIVE_MODE=NOT_OBSERVED reason=no_run_log_no_live_pid"
-      not_observed=$((not_observed+1))
-    fi
-  fi
-  if [ "$defer_log_checks" -eq 1 ]; then
-    for deferred in KR_LOOP NXT_PATH US_PRE_PATH US_DAY_PATH US_AFTER_PATH ORDER_POLICY_SESSION; do
-      log "[COVERAGE] ${deferred}=DEFERRED reason=no_run_log_process_alive"
-    done
-  elif [ -n "$latest_run" ]; then
  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))
-  else
-    for missing in KR_LOOP NXT_PATH US_PRE_PATH US_DAY_PATH US_AFTER_PATH ORDER_POLICY_SESSION; do
-      log "[COVERAGE] ${missing}=NOT_OBSERVED reason=no_run_log"
-      not_observed=$((not_observed+1))
-    done
-  fi

  if [ "$not_observed" -gt 0 ]; then
    log "[ANOMALY] coverage_not_observed=$not_observed (treat as FAIL)"
@@ -155,17 +95,11 @@ while true; do
    is_weekend=1
  fi

-  if [ "$defer_log_checks" -eq 1 ]; then
-    log "[FORBIDDEN] WEEKEND_KR_SESSION_ACTIVE=SKIP reason=no_run_log_process_alive"
-  elif [ "$is_weekend" -eq 1 ]; then
+  if [ "$is_weekend" -eq 1 ]; then
    # Weekend policy: KR regular session loop must never appear.
-    if [ -n "$latest_run" ]; then
    check_forbidden "WEEKEND_KR_SESSION_ACTIVE" \
      "Market session active: KR|session=KRX_REG|Processing market: Korea Exchange" \
      "$latest_run" || forbidden_hits=$((forbidden_hits+1))
-    else
-      log "[FORBIDDEN] WEEKEND_KR_SESSION_ACTIVE=SKIP reason=no_run_log"
-    fi
  else
    log "[FORBIDDEN] WEEKEND_KR_SESSION_ACTIVE=SKIP reason=weekday"
  fi
--- a/scripts/validate_docs_sync.py
+++ b/scripts/validate_docs_sync.py
@@ -92,25 +92,6 @@ def validate_testing_doc_has_dynamic_count_guidance(errors: list[str]) -> None:
        )


-def validate_pr_body_postcheck_guidance(errors: list[str]) -> None:
-    required_tokens = {
-        "commands": (
-            "PR Body Post-Check (Mandatory)",
-            "python3 scripts/validate_pr_body.py --pr <PR_NUMBER>",
-        ),
-        "workflow": (
-            "PR 생성 직후 본문 무결성 검증(필수)",
-            "python3 scripts/validate_pr_body.py --pr <PR_NUMBER>",
-        ),
-    }
-    for key, tokens in required_tokens.items():
-        path = REQUIRED_FILES[key]
-        text = _read(path)
-        for token in tokens:
-            if token not in text:
-                errors.append(f"{path}: missing PR body post-check guidance token -> {token}")
-
-
 def main() -> int:
    errors: list[str] = []

@@ -136,7 +117,6 @@ def main() -> int:
    validate_summary_docs_reference_core_docs(errors)
    validate_commands_endpoint_duplicates(errors)
    validate_testing_doc_has_dynamic_count_guidance(errors)
-    validate_pr_body_postcheck_guidance(errors)

    if errors:
        print("[FAIL] docs sync validation failed")
@@ -148,7 +128,6 @@ def main() -> int:
    print("[OK] summary docs link to core docs and links resolve")
    print("[OK] commands endpoint rows have no duplicates")
    print("[OK] testing doc includes dynamic count guidance")
-    print("[OK] PR body post-check guidance exists in commands/workflow docs")
    return 0


--- a/scripts/validate_ouroboros_docs.py
+++ b/scripts/validate_ouroboros_docs.py
@@ -33,9 +33,6 @@ ALLOWED_PLAN_TARGETS = {
    "2": (DOC_DIR / "source" / "ouroboros_plan_v2.txt").resolve(),
    "3": (DOC_DIR / "source" / "ouroboros_plan_v3.txt").resolve(),
 }
-ISSUE_REF_PATTERN = re.compile(r"#(?P<issue>\d+)")
-ISSUE_DONE_PATTERN = re.compile(r"(?:✅|머지|해소|완료)")
-ISSUE_PENDING_PATTERN = re.compile(r"(?:잔여|오픈 상태|추적 이슈)")


 def iter_docs() -> list[Path]:
@@ -122,38 +119,6 @@ def collect_req_traceability(
                req_to_test.setdefault(req_id, set()).add(item_id)


-def validate_issue_status_consistency(path: Path, text: str, errors: list[str]) -> None:
-    issue_done_lines: dict[str, list[int]] = {}
-    issue_pending_lines: dict[str, list[int]] = {}
-
-    for line_no, raw_line in enumerate(text.splitlines(), start=1):
-        line = raw_line.strip()
-        if not line:
-            continue
-        issue_ids = [m.group("issue") for m in ISSUE_REF_PATTERN.finditer(line)]
-        if not issue_ids:
-            continue
-
-        is_pending = bool(ISSUE_PENDING_PATTERN.search(line))
-        is_done = bool(ISSUE_DONE_PATTERN.search(line)) and not is_pending
-        if not is_pending and not is_done:
-            continue
-
-        for issue_id in issue_ids:
-            if is_done:
-                issue_done_lines.setdefault(issue_id, []).append(line_no)
-            if is_pending:
-                issue_pending_lines.setdefault(issue_id, []).append(line_no)
-
-    conflicted_issues = sorted(set(issue_done_lines) & set(issue_pending_lines))
-    for issue_id in conflicted_issues:
-        errors.append(
-            f"{path}: conflicting status for issue #{issue_id} "
-            f"(done at lines {issue_done_lines[issue_id]}, "
-            f"pending at lines {issue_pending_lines[issue_id]})"
-        )
-
-
 def main() -> int:
    if not DOC_DIR.exists():
        print(f"ERROR: missing directory {DOC_DIR}")
@@ -175,8 +140,6 @@ def main() -> int:
        text = path.read_text(encoding="utf-8")
        validate_metadata(path, text, errors, doc_ids)
        validate_links(path, text, errors)
-        if path.name == "80_implementation_audit.md":
-            validate_issue_status_consistency(path, text, errors)
        collect_ids(path, text, defs, refs)
        collect_req_traceability(text, req_to_task, req_to_test)

--- a/scripts/validate_pr_body.py
+++ b/scripts/validate_pr_body.py
@@ -1,117 +0,0 @@
-#!/usr/bin/env python3
-"""Validate PR body formatting to prevent escaped-newline artifacts."""
-
-from __future__ import annotations
-
-import argparse
-import json
-import os
-import shutil
-import re
-import subprocess
-import sys
-from pathlib import Path
-
-HEADER_PATTERN = re.compile(r"^##\s+\S+", re.MULTILINE)
-LIST_ITEM_PATTERN = re.compile(r"^\s*(?:-|\*|\d+\.)\s+\S+", re.MULTILINE)
-FENCED_CODE_PATTERN = re.compile(r"```.*?```", re.DOTALL)
-INLINE_CODE_PATTERN = re.compile(r"`[^`]*`")
-
-
-def _strip_code_segments(text: str) -> str:
-    without_fences = FENCED_CODE_PATTERN.sub("", text)
-    return INLINE_CODE_PATTERN.sub("", without_fences)
-
-
-def resolve_tea_binary() -> str:
-    tea_from_path = shutil.which("tea")
-    if tea_from_path:
-        return tea_from_path
-
-    tea_home = Path.home() / "bin" / "tea"
-    if tea_home.exists() and tea_home.is_file() and os.access(tea_home, os.X_OK):
-        return str(tea_home)
-
-    raise RuntimeError("tea binary not found (checked PATH and ~/bin/tea)")
-
-
-def validate_pr_body_text(text: str) -> list[str]:
-    errors: list[str] = []
-    searchable = _strip_code_segments(text)
-    if "\\n" in searchable:
-        errors.append("body contains escaped newline sequence (\\n)")
-    if text.count("```") % 2 != 0:
-        errors.append("body has unbalanced fenced code blocks (``` count is odd)")
-    if not HEADER_PATTERN.search(text):
-        errors.append("body is missing markdown section headers (e.g. '## Summary')")
-    if not LIST_ITEM_PATTERN.search(text):
-        errors.append("body is missing markdown list items")
-    return errors
-
-
-def fetch_pr_body(pr_number: int) -> str:
-    tea_binary = resolve_tea_binary()
-    try:
-        completed = subprocess.run(
-            [
-                tea_binary,
-                "api",
-                "-R",
-                "origin",
-                f"repos/{{owner}}/{{repo}}/pulls/{pr_number}",
-            ],
-            check=True,
-            capture_output=True,
-            text=True,
-        )
-    except (subprocess.CalledProcessError, FileNotFoundError, PermissionError) as exc:
-        raise RuntimeError(f"failed to fetch PR #{pr_number}: {exc}") from exc
-
-    try:
-        payload = json.loads(completed.stdout)
-    except json.JSONDecodeError as exc:
-        raise RuntimeError(f"failed to parse PR payload for #{pr_number}: {exc}") from exc
-
-    body = payload.get("body", "")
-    if not isinstance(body, str):
-        raise RuntimeError(f"unexpected PR body type for #{pr_number}: {type(body).__name__}")
-    return body
-
-
-def parse_args() -> argparse.Namespace:
-    parser = argparse.ArgumentParser(
-        description="Validate PR body markdown formatting and escaped-newline artifacts."
-    )
-    group = parser.add_mutually_exclusive_group(required=True)
-    group.add_argument("--pr", type=int, help="PR number to fetch via `tea api`")
-    group.add_argument("--body-file", type=Path, help="Path to markdown body file")
-    return parser.parse_args()
-
-
-def main() -> int:
-    args = parse_args()
-    if args.body_file is not None:
-        if not args.body_file.exists():
-            print(f"[FAIL] body file not found: {args.body_file}")
-            return 1
-        body = args.body_file.read_text(encoding="utf-8")
-        source = f"file:{args.body_file}"
-    else:
-        body = fetch_pr_body(args.pr)
-        source = f"pr:{args.pr}"
-
-    errors = validate_pr_body_text(body)
-    if errors:
-        print("[FAIL] PR body validation failed")
-        print(f"- source: {source}")
-        for err in errors:
-            print(f"- {err}")
-        return 1
-
-    print("[OK] PR body validation passed")
-    print(f"- source: {source}")
-    return 0
-
-
-if __name__ == "__main__":
-    sys.exit(main())
--- a/src/analysis/backtest_cost_guard.py
+++ b/src/analysis/backtest_cost_guard.py
@@ -32,7 +32,7 @@ def validate_backtest_cost_model(

    slippage = model.slippage_bps_by_session or {}
    failure = model.failure_rate_by_session or {}
-    partial_fill = model.partial_fill_rate_by_session or {}
+    partial = model.partial_fill_rate_by_session or {}

    missing_slippage = [s for s in required_sessions if s not in slippage]
    if missing_slippage:
@@ -45,12 +45,11 @@ def validate_backtest_cost_model(
        raise ValueError(
            f"missing failure_rate_by_session for sessions: {', '.join(missing_failure)}"
        )
-
-    missing_partial_fill = [s for s in required_sessions if s not in partial_fill]
-    if missing_partial_fill:
+    missing_partial = [s for s in required_sessions if s not in partial]
+    if missing_partial:
        raise ValueError(
            "missing partial_fill_rate_by_session for sessions: "
-            f"{', '.join(missing_partial_fill)}"
+            f"{', '.join(missing_partial)}"
        )

    for sess, bps in slippage.items():
@@ -59,6 +58,6 @@ def validate_backtest_cost_model(
    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}")
-    for sess, rate in partial_fill.items():
+    for sess, rate in partial.items():
        if not math.isfinite(rate) or rate < 0 or rate > 1:
            raise ValueError(f"partial fill rate must be within [0,1] for session={sess}")
--- a/src/analysis/backtest_pipeline.py
+++ b/src/analysis/backtest_pipeline.py
@@ -45,7 +45,6 @@ class WalkForwardConfig:
 class BaselineScore:
    name: Literal["B0", "B1", "M1"]
    accuracy: float
-    cost_adjusted_accuracy: float


@dataclass(frozen=True)
@@ -94,6 +93,14 @@ def run_v2_backtest_pipeline(
        else sorted({bar.session_id for bar in bars})
    )
    validate_backtest_cost_model(model=cost_model, required_sessions=resolved_sessions)
+    execution_model = BacktestExecutionModel(
+        ExecutionAssumptions(
+            slippage_bps_by_session=cost_model.slippage_bps_by_session or {},
+            failure_rate_by_session=cost_model.failure_rate_by_session or {},
+            partial_fill_rate_by_session=cost_model.partial_fill_rate_by_session or {},
+            seed=0,
+        )
+    )

    highs = [float(bar.high) for bar in bars]
    lows = [float(bar.low) for bar in bars]
@@ -125,8 +132,6 @@ def run_v2_backtest_pipeline(
        ).label

    ordered_labels = [labels_by_bar_index[idx] for idx in normalized_entries]
-    ordered_sessions = [bars[idx].session_id for idx in normalized_entries]
-    ordered_prices = [bars[idx].close for idx in normalized_entries]
    folds = generate_walk_forward_splits(
        n_samples=len(normalized_entries),
        train_size=walk_forward.train_size,
@@ -141,17 +146,8 @@ def run_v2_backtest_pipeline(
    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]
-        test_sessions = [ordered_sessions[i] for i in fold.test_indices]
-        test_prices = [ordered_prices[i] for i in fold.test_indices]
        if not test_labels:
            continue
-        execution_model = _build_execution_model(cost_model=cost_model, fold_seed=fold_idx)
-        execution_return_model = _build_execution_model(
-            cost_model=cost_model,
-            fold_seed=fold_idx + 1000,
-        )
-        b0_pred = _baseline_b0_pred(train_labels)
-        m1_pred = _m1_pred(train_labels)
        execution_returns_bps: list[float] = []
        execution_rejected = 0
        execution_partial = 0
@@ -159,7 +155,7 @@ def run_v2_backtest_pipeline(
            entry_bar_index = normalized_entries[rel_idx]
            bar = bars[entry_bar_index]
            trade = _simulate_execution_adjusted_return_bps(
-                execution_model=execution_return_model,
+                execution_model=execution_model,
                bar=bar,
                label=ordered_labels[rel_idx],
                side=side,
@@ -180,41 +176,11 @@ def run_v2_backtest_pipeline(
                train_label_distribution=_label_dist(train_labels),
                test_label_distribution=_label_dist(test_labels),
                baseline_scores=[
-                    BaselineScore(
-                        name="B0",
-                        accuracy=_score_constant(b0_pred, test_labels),
-                        cost_adjusted_accuracy=_score_with_execution(
-                            prediction=b0_pred,
-                            actual=test_labels,
-                            sessions=test_sessions,
-                            reference_prices=test_prices,
-                            execution_model=execution_model,
-                            commission_bps=float(cost_model.commission_bps or 0.0),
-                        ),
-                    ),
-                    BaselineScore(
-                        name="B1",
-                        accuracy=_score_constant(1, test_labels),
-                        cost_adjusted_accuracy=_score_with_execution(
-                            prediction=1,
-                            actual=test_labels,
-                            sessions=test_sessions,
-                            reference_prices=test_prices,
-                            execution_model=execution_model,
-                            commission_bps=float(cost_model.commission_bps or 0.0),
-                        ),
-                    ),
+                    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, test_labels),
-                        cost_adjusted_accuracy=_score_with_execution(
-                            prediction=m1_pred,
-                            actual=test_labels,
-                            sessions=test_sessions,
-                            reference_prices=test_prices,
-                            execution_model=execution_model,
-                            commission_bps=float(cost_model.commission_bps or 0.0),
-                        ),
+                        accuracy=_score_constant(_m1_pred(train_labels), test_labels),
                    ),
                ],
                execution_adjusted_avg_return_bps=(
@@ -253,15 +219,12 @@ def _score_constant(pred: int, actual: Sequence[int]) -> float:


 def _baseline_b0(train_labels: Sequence[int], test_labels: Sequence[int]) -> float:
-    return _score_constant(_baseline_b0_pred(train_labels), test_labels)
-
-
-def _baseline_b0_pred(train_labels: Sequence[int]) -> int:
    if not train_labels:
-        return 0
+        return _score_constant(0, test_labels)
    # Majority-class baseline from training fold.
    choices = (-1, 0, 1)
-    return max(choices, key=lambda c: train_labels.count(c))
+    pred = max(choices, key=lambda c: train_labels.count(c))
+    return _score_constant(pred, test_labels)


 def _m1_pred(train_labels: Sequence[int]) -> int:
@@ -270,56 +233,6 @@ def _m1_pred(train_labels: Sequence[int]) -> int:
    return train_labels[-1]


-def _build_execution_model(
-    *,
-    cost_model: BacktestCostModel,
-    fold_seed: int,
-) -> BacktestExecutionModel:
-    return BacktestExecutionModel(
-        ExecutionAssumptions(
-            slippage_bps_by_session=dict(cost_model.slippage_bps_by_session or {}),
-            failure_rate_by_session=dict(cost_model.failure_rate_by_session or {}),
-            partial_fill_rate_by_session=dict(cost_model.partial_fill_rate_by_session or {}),
-            seed=fold_seed,
-        )
-    )
-
-
-def _score_with_execution(
-    *,
-    prediction: int,
-    actual: Sequence[int],
-    sessions: Sequence[str],
-    reference_prices: Sequence[float],
-    execution_model: BacktestExecutionModel,
-    commission_bps: float,
-) -> float:
-    if not actual:
-        return 0.0
-    contributions: list[float] = []
-    for label, session_id, reference_price in zip(actual, sessions, reference_prices, strict=True):
-        if prediction == 0:
-            contributions.append(1.0 if label == 0 else 0.0)
-            continue
-        side = "BUY" if prediction > 0 else "SELL"
-        execution = execution_model.simulate(
-            ExecutionRequest(
-                side=side,
-                session_id=session_id,
-                qty=100,
-                reference_price=reference_price,
-            )
-        )
-        if execution.status == "REJECTED":
-            contributions.append(0.0)
-            continue
-        fill_ratio = execution.filled_qty / 100.0
-        cost_penalty = min(0.99, (commission_bps + execution.slippage_bps) / 10000.0)
-        correctness = 1.0 if prediction == label else 0.0
-        contributions.append(correctness * fill_ratio * (1.0 - cost_penalty))
-    return mean(contributions)
-
-
 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}"
--- a/src/core/blackout_manager.py
+++ b/src/core/blackout_manager.py
@@ -23,7 +23,6 @@ class BlackoutWindow:
 class QueuedOrderIntent:
    market_code: str
    exchange_code: str
-    session_id: str
    stock_code: str
    order_type: str
    quantity: int
@@ -69,16 +68,11 @@ class BlackoutOrderManager:
        self._queue: deque[QueuedOrderIntent] = deque()
        self._was_blackout = False
        self._max_queue_size = max_queue_size
-        self._overflow_drop_count = 0

    @property
    def pending_count(self) -> int:
        return len(self._queue)

-    @property
-    def overflow_drop_count(self) -> int:
-        return self._overflow_drop_count
-
    def in_blackout(self, now: datetime | None = None) -> bool:
        if not self.enabled or not self._windows:
            return False
@@ -87,11 +81,8 @@ class BlackoutOrderManager:
        return any(window.contains(kst_now) for window in self._windows)

    def enqueue(self, intent: QueuedOrderIntent) -> bool:
-        if self._max_queue_size <= 0:
-            return False
        if len(self._queue) >= self._max_queue_size:
-            self._queue.popleft()
-            self._overflow_drop_count += 1
+            return False
        self._queue.append(intent)
        return True

--- a/src/core/kill_switch.py
+++ b/src/core/kill_switch.py
@@ -3,14 +3,13 @@
 Order is fixed:
 1) block new orders
 2) cancel pending orders
-3) refresh order state (retry up to 3 attempts with exponential backoff)
+3) refresh order state
 4) reduce risk
 5) snapshot and notify
 """

 from __future__ import annotations

-import asyncio
 import inspect
 from collections.abc import Awaitable, Callable
 from dataclasses import dataclass, field
@@ -35,55 +34,16 @@ class KillSwitchOrchestrator:
        report: KillSwitchReport,
        name: str,
        fn: StepCallable | None,
-    ) -> bool:
+    ) -> None:
        report.steps.append(name)
        if fn is None:
-            return True
+            return
        try:
            result = fn()
            if inspect.isawaitable(result):
                await result
-            if result is False:
-                raise RuntimeError("step returned False")
-            return True
        except Exception as exc:  # pragma: no cover - intentionally resilient
            report.errors.append(f"{name}: {exc}")
-            return False
-
-    async def _run_refresh_with_retry(
-        self,
-        report: KillSwitchReport,
-        fn: StepCallable | None,
-        *,
-        max_attempts: int,
-        base_delay_sec: float,
-    ) -> None:
-        report.steps.append("refresh_order_state")
-        if fn is None:
-            return
-
-        attempts = max(1, max_attempts)
-        delay = max(0.0, base_delay_sec)
-        last_exc: Exception | None = None
-        for attempt in range(1, attempts + 1):
-            try:
-                result = fn()
-                if inspect.isawaitable(result):
-                    await result
-                if result is False:
-                    raise RuntimeError("step returned False")
-                return
-            except Exception as exc:
-                last_exc = exc
-                if attempt >= attempts:
-                    break
-                if delay > 0:
-                    await asyncio.sleep(delay * (2 ** (attempt - 1)))
-        if last_exc is not None:
-            report.errors.append(
-                "refresh_order_state: failed after "
-                f"{attempts} attempts ({last_exc})"
-            )

    async def trigger(
        self,
@@ -94,8 +54,6 @@ class KillSwitchOrchestrator:
        reduce_risk: StepCallable | None = None,
        snapshot_state: StepCallable | None = None,
        notify: StepCallable | None = None,
-        refresh_retry_attempts: int = 3,
-        refresh_retry_base_delay_sec: float = 1.0,
    ) -> KillSwitchReport:
        report = KillSwitchReport(reason=reason)

@@ -103,12 +61,7 @@ class KillSwitchOrchestrator:
        report.steps.append("block_new_orders")

        await self._run_step(report, "cancel_pending_orders", cancel_pending_orders)
-        await self._run_refresh_with_retry(
-            report,
-            refresh_order_state,
-            max_attempts=refresh_retry_attempts,
-            base_delay_sec=refresh_retry_base_delay_sec,
-        )
+        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)
--- a/src/db.py
+++ b/src/db.py
@@ -318,7 +318,7 @@ def get_latest_buy_trade(
    if exchange_code:
        cursor = conn.execute(
            """
-            SELECT decision_id, price, quantity, selection_context
+            SELECT decision_id, price, quantity
            FROM trades
            WHERE stock_code = ?
              AND market = ?
@@ -339,7 +339,7 @@ def get_latest_buy_trade(
    else:
        cursor = conn.execute(
            """
-            SELECT decision_id, price, quantity, selection_context
+            SELECT decision_id, price, quantity
            FROM trades
            WHERE stock_code = ?
              AND market = ?
--- a/src/main.py
+++ b/src/main.py
@@ -128,84 +128,6 @@ def _resolve_sell_qty_for_pnl(*, sell_qty: int | None, buy_qty: int | None) -> i
    return max(0, int(buy_qty or 0))


-def _extract_fx_rate_from_sources(*sources: dict[str, Any] | None) -> float | None:
-    """Best-effort FX rate extraction from broker payloads."""
-    # KIS overseas payloads expose exchange-rate fields with varying key names
-    # across endpoints/responses (price, balance, buying power). Keep this list
-    # centralised so schema drifts can be patched in one place.
-    rate_keys = (
-        "frst_bltn_exrt",
-        "bass_exrt",
-        "ovrs_exrt",
-        "aply_xchg_rt",
-        "xchg_rt",
-        "exchange_rate",
-        "fx_rate",
-    )
-    for source in sources:
-        if not isinstance(source, dict):
-            continue
-        for key in rate_keys:
-            rate = safe_float(source.get(key), 0.0)
-            if rate > 0:
-                return rate
-    return None
-
-
-def _split_trade_pnl_components(
-    *,
-    market: MarketInfo,
-    trade_pnl: float,
-    buy_price: float,
-    sell_price: float,
-    quantity: int,
-    buy_fx_rate: float | None = None,
-    sell_fx_rate: float | None = None,
-) -> tuple[float, float]:
-    """Split total trade pnl into strategy/fx components.
-
-    For overseas symbols, use buy/sell FX rates when both are available.
-    Otherwise preserve backward-compatible behaviour (all strategy pnl).
-    """
-    if trade_pnl == 0.0:
-        return 0.0, 0.0
-    if market.is_domestic:
-        return trade_pnl, 0.0
-
-    if (
-        buy_fx_rate is not None
-        and sell_fx_rate is not None
-        and buy_fx_rate > 0
-        and sell_fx_rate > 0
-        and quantity > 0
-        and buy_price > 0
-        and sell_price > 0
-    ):
-        buy_notional = buy_price * quantity
-        fx_return = (sell_fx_rate - buy_fx_rate) / buy_fx_rate
-        fx_pnl = buy_notional * fx_return
-        strategy_pnl = trade_pnl - fx_pnl
-        return strategy_pnl, fx_pnl
-
-    return trade_pnl, 0.0
-
-
-def _extract_buy_fx_rate(buy_trade: dict[str, Any] | None) -> float | None:
-    if not buy_trade:
-        return None
-    raw_ctx = buy_trade.get("selection_context")
-    if not isinstance(raw_ctx, str) or not raw_ctx.strip():
-        return None
-    try:
-        decoded = json.loads(raw_ctx)
-    except (TypeError, ValueError):
-        return None
-    if not isinstance(decoded, dict):
-        return None
-    rate = safe_float(decoded.get("fx_rate"), 0.0)
-    return rate if rate > 0 else None
-
-
 def _compute_kr_dynamic_stop_loss_pct(
    *,
    market: MarketInfo | None = None,
@@ -1004,7 +926,6 @@ async def build_overseas_symbol_universe(
 def _build_queued_order_intent(
    *,
    market: MarketInfo,
-    session_id: str,
    stock_code: str,
    order_type: str,
    quantity: int,
@@ -1014,7 +935,6 @@ def _build_queued_order_intent(
    return QueuedOrderIntent(
        market_code=market.code,
        exchange_code=market.exchange_code,
-        session_id=session_id,
        stock_code=stock_code,
        order_type=order_type,
        quantity=quantity,
@@ -1027,7 +947,6 @@ def _build_queued_order_intent(
 def _maybe_queue_order_intent(
    *,
    market: MarketInfo,
-    session_id: str,
    stock_code: str,
    order_type: str,
    quantity: int,
@@ -1037,11 +956,9 @@ def _maybe_queue_order_intent(
    if not BLACKOUT_ORDER_MANAGER.in_blackout():
        return False

-    before_overflow_drops = BLACKOUT_ORDER_MANAGER.overflow_drop_count
    queued = BLACKOUT_ORDER_MANAGER.enqueue(
        _build_queued_order_intent(
            market=market,
-            session_id=session_id,
            stock_code=stock_code,
            order_type=order_type,
            quantity=quantity,
@@ -1050,7 +967,6 @@ def _maybe_queue_order_intent(
        )
    )
    if queued:
-        after_overflow_drops = BLACKOUT_ORDER_MANAGER.overflow_drop_count
        logger.warning(
            (
                "Blackout active: queued order intent %s %s (%s) "
@@ -1064,22 +980,9 @@ def _maybe_queue_order_intent(
            source,
            BLACKOUT_ORDER_MANAGER.pending_count,
        )
-        if after_overflow_drops > before_overflow_drops:
-            logger.error(
-                (
-                    "Blackout queue overflow policy applied: evicted oldest intent "
-                    "to keep latest %s %s (%s) source=%s pending=%d total_evicted=%d"
-                ),
-                order_type,
-                stock_code,
-                market.code,
-                source,
-                BLACKOUT_ORDER_MANAGER.pending_count,
-                after_overflow_drops,
-            )
    else:
        logger.error(
-            "Blackout queue unavailable: could not queue order intent %s %s (%s) qty=%d source=%s",
+            "Blackout queue full: dropped order intent %s %s (%s) qty=%d source=%s",
            order_type,
            stock_code,
            market.code,
@@ -1375,10 +1278,7 @@ async def _cancel_pending_orders_for_kill_switch(
                )

    if failures:
-        summary = "; ".join(failures[:3])
-        if len(failures) > 3:
-            summary = f"{summary} (+{len(failures) - 3} more)"
-        raise RuntimeError(summary)
+        raise RuntimeError("; ".join(failures[:3]))


 async def _refresh_order_state_for_kill_switch(
@@ -1387,7 +1287,6 @@ async def _refresh_order_state_for_kill_switch(
    overseas_broker: OverseasBroker,
    markets: list[MarketInfo],
 ) -> None:
-    failures: list[str] = []
    seen_overseas: set[str] = set()
    for market in markets:
        try:
@@ -1403,12 +1302,6 @@ async def _refresh_order_state_for_kill_switch(
                market.exchange_code,
                exc,
            )
-            failures.append(f"{market.code}/{market.exchange_code}: {exc}")
-    if failures:
-        summary = "; ".join(failures[:3])
-        if len(failures) > 3:
-            summary = f"{summary} (+{len(failures) - 3} more)"
-        raise RuntimeError(summary)


 def _reduce_risk_for_kill_switch() -> None:
@@ -1478,7 +1371,6 @@ async def trading_cycle(
    _session_risk_overrides(market=market, settings=settings)

    # 1. Fetch market data
-    balance_info: dict[str, Any] = {}
    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)
@@ -1501,6 +1393,8 @@ async def trading_cycle(
            balance_info = output2[0]
        elif isinstance(output2, dict):
            balance_info = output2
+        else:
+            balance_info = {}

        total_eval = safe_float(balance_info.get("frcr_evlu_tota", "0") or "0")
        purchase_total = safe_float(balance_info.get("frcr_buy_amt_smtl", "0") or "0")
@@ -1920,9 +1814,6 @@ async def trading_cycle(
    quantity = 0
    trade_price = current_price
    trade_pnl = 0.0
-    buy_trade: dict[str, Any] | None = None
-    buy_price = 0.0
-    sell_qty = 0
    if decision.action in ("BUY", "SELL"):
        if KILL_SWITCH.new_orders_blocked and decision.action == "BUY":
            logger.critical(
@@ -2070,7 +1961,6 @@ async def trading_cycle(
                return
            if _maybe_queue_order_intent(
                market=market,
-                session_id=runtime_session_id,
                stock_code=stock_code,
                order_type=decision.action,
                quantity=quantity,
@@ -2084,15 +1974,6 @@ async def trading_cycle(
                quantity=quantity,
                price=order_price,
            )
-            if result.get("rt_cd", "0") != "0":
-                order_succeeded = False
-                msg1 = result.get("msg1") or ""
-                logger.warning(
-                    "KR order not accepted for %s: rt_cd=%s msg=%s",
-                    stock_code,
-                    result.get("rt_cd"),
-                    msg1,
-                )
        else:
            # For overseas orders, always use limit orders (지정가):
            # - KIS market orders (ORD_DVSN=01) calculate quantity based on upper limit
@@ -2127,7 +2008,6 @@ async def trading_cycle(
                return
            if _maybe_queue_order_intent(
                market=market,
-                session_id=runtime_session_id,
                stock_code=stock_code,
                order_type=decision.action,
                quantity=quantity,
@@ -2248,26 +2128,6 @@ async def trading_cycle(
            "signal": candidate.signal,
            "score": candidate.score,
        }
-    sell_fx_rate = _extract_fx_rate_from_sources(price_output, balance_info)
-    if sell_fx_rate is not None and not market.is_domestic:
-        if selection_context is None:
-            selection_context = {"fx_rate": sell_fx_rate}
-        else:
-            selection_context["fx_rate"] = sell_fx_rate
-
-    strategy_pnl: float | None = None
-    fx_pnl: float | None = None
-    if decision.action == "SELL" and order_succeeded:
-        buy_fx_rate = _extract_buy_fx_rate(buy_trade)
-        strategy_pnl, fx_pnl = _split_trade_pnl_components(
-            market=market,
-            trade_pnl=trade_pnl,
-            buy_price=buy_price,
-            sell_price=trade_price,
-            quantity=sell_qty or quantity,
-            buy_fx_rate=buy_fx_rate,
-            sell_fx_rate=sell_fx_rate,
-        )

    log_trade(
        conn=db_conn,
@@ -2278,8 +2138,6 @@ async def trading_cycle(
        quantity=quantity,
        price=trade_price,
        pnl=trade_pnl,
-        strategy_pnl=strategy_pnl,
-        fx_pnl=fx_pnl,
        market=market.code,
        exchange_code=market.exchange_code,
        session_id=runtime_session_id,
@@ -2878,7 +2736,6 @@ async def run_daily_session(
            )
            continue

-        balance_info: dict[str, Any] = {}
        if market.is_domestic:
            output2 = balance_data.get("output2", [{}])
            total_eval = safe_float(output2[0].get("tot_evlu_amt", "0")) if output2 else 0
@@ -3133,9 +2990,6 @@ async def run_daily_session(
            quantity = 0
            trade_price = stock_data["current_price"]
            trade_pnl = 0.0
-            buy_trade: dict[str, Any] | None = None
-            buy_price = 0.0
-            sell_qty = 0
            order_succeeded = True
            if decision.action in ("BUY", "SELL"):
                if KILL_SWITCH.new_orders_blocked and decision.action == "BUY":
@@ -3288,7 +3142,6 @@ async def run_daily_session(
                            continue
                        if _maybe_queue_order_intent(
                            market=market,
-                            session_id=runtime_session_id,
                            stock_code=stock_code,
                            order_type=decision.action,
                            quantity=quantity,
@@ -3302,15 +3155,6 @@ async def run_daily_session(
                            quantity=quantity,
                            price=order_price,
                        )
-                        if result.get("rt_cd", "0") != "0":
-                            order_succeeded = False
-                            daily_msg1 = result.get("msg1") or ""
-                            logger.warning(
-                                "KR order not accepted for %s: rt_cd=%s msg=%s",
-                                stock_code,
-                                result.get("rt_cd"),
-                                daily_msg1,
-                            )
                    else:
                        # KIS VTS only accepts limit orders; use 0.5% premium for BUY
                        if decision.action == "BUY":
@@ -3335,7 +3179,6 @@ async def run_daily_session(
                            continue
                        if _maybe_queue_order_intent(
                            market=market,
-                            session_id=runtime_session_id,
                            stock_code=stock_code,
                            order_type=decision.action,
                            quantity=quantity,
@@ -3429,30 +3272,6 @@ async def run_daily_session(
            # Log trade (skip if order was rejected by API)
            if decision.action in ("BUY", "SELL") and not order_succeeded:
                continue
-            strategy_pnl: float | None = None
-            fx_pnl: float | None = None
-            selection_context: dict[str, Any] | None = None
-            if decision.action == "SELL" and order_succeeded:
-                buy_fx_rate = _extract_buy_fx_rate(buy_trade)
-                sell_fx_rate = _extract_fx_rate_from_sources(balance_info, stock_data)
-                strategy_pnl, fx_pnl = _split_trade_pnl_components(
-                    market=market,
-                    trade_pnl=trade_pnl,
-                    buy_price=buy_price,
-                    sell_price=trade_price,
-                    quantity=sell_qty or quantity,
-                    buy_fx_rate=buy_fx_rate,
-                    sell_fx_rate=sell_fx_rate,
-                )
-                if sell_fx_rate is not None and not market.is_domestic:
-                    # Daily path does not carry scanner candidate metrics, so this
-                    # context intentionally stores FX snapshot only.
-                    selection_context = {"fx_rate": sell_fx_rate}
-            elif not market.is_domestic:
-                snapshot_fx_rate = _extract_fx_rate_from_sources(balance_info, stock_data)
-                if snapshot_fx_rate is not None:
-                    # BUY/HOLD in daily path: persist FX snapshot for later SELL split.
-                    selection_context = {"fx_rate": snapshot_fx_rate}
            log_trade(
                conn=db_conn,
                stock_code=stock_code,
@@ -3462,12 +3281,9 @@ async def run_daily_session(
                quantity=quantity,
                price=trade_price,
                pnl=trade_pnl,
-                strategy_pnl=strategy_pnl,
-                fx_pnl=fx_pnl,
                market=market.code,
                exchange_code=market.exchange_code,
                session_id=runtime_session_id,
-                selection_context=selection_context,
                decision_id=decision_id,
                mode=settings.MODE,
            )
@@ -3550,20 +3366,6 @@ def _run_context_scheduler(
        )


-def _has_market_session_transition(
-    market_states: dict[str, str], market_code: str, session_id: str
-) -> bool:
-    """Return True when market session changed (or market has no prior state)."""
-    return market_states.get(market_code) != session_id
-
-
-def _should_rescan_market(
-    *, last_scan: float, now_timestamp: float, rescan_interval: float, session_changed: bool
-) -> bool:
-    """Force rescan on session transition; otherwise follow interval cadence."""
-    return session_changed or (now_timestamp - last_scan >= rescan_interval)
-
-
 async def _run_evolution_loop(
    evolution_optimizer: EvolutionOptimizer,
    telegram: TelegramClient,
@@ -4077,7 +3879,7 @@ async def run(settings: Settings) -> None:
    last_scan_time: dict[str, float] = {}

    # Track market open/close state for notifications
-    _market_states: dict[str, str] = {}  # market_code -> session_id
+    _market_states: dict[str, bool] = {}  # market_code -> is_open

    # Trading control events
    shutdown = asyncio.Event()
@@ -4195,8 +3997,8 @@ async def run(settings: Settings) -> None:

                if not open_markets:
                    # Notify market close for any markets that were open
-                    for market_code, session_id in list(_market_states.items()):
-                        if session_id:
+                    for market_code, is_open in list(_market_states.items()):
+                        if is_open:
                            try:
                                from src.markets.schedule import MARKETS

@@ -4213,7 +4015,7 @@ async def run(settings: Settings) -> None:
                                    )
                            except Exception as exc:
                                logger.warning("Market close notification failed: %s", exc)
-                            _market_states.pop(market_code, None)
+                            _market_states[market_code] = False
                            # Clear playbook for closed market (new one generated next open)
                            playbooks.pop(market_code, None)

@@ -4259,16 +4061,13 @@ async def run(settings: Settings) -> None:
                        settings=settings,
                    )

-                    # Notify on market/session transition (e.g., US_PRE -> US_REG)
-                    session_changed = _has_market_session_transition(
-                        _market_states, market.code, session_info.session_id
-                    )
-                    if session_changed:
+                    # Notify market open if it just opened
+                    if not _market_states.get(market.code, False):
                        try:
                            await telegram.notify_market_open(market.name)
                        except Exception as exc:
                            logger.warning("Market open notification failed: %s", exc)
-                        _market_states[market.code] = session_info.session_id
+                        _market_states[market.code] = True

                    # Check and handle domestic pending (unfilled) limit orders.
                    if market.is_domestic:
@@ -4300,12 +4099,7 @@ async def run(settings: Settings) -> None:
                    now_timestamp = asyncio.get_event_loop().time()
                    last_scan = last_scan_time.get(market.code, 0.0)
                    rescan_interval = settings.RESCAN_INTERVAL_SECONDS
-                    if _should_rescan_market(
-                        last_scan=last_scan,
-                        now_timestamp=now_timestamp,
-                        rescan_interval=rescan_interval,
-                        session_changed=session_changed,
-                    ):
+                    if now_timestamp - last_scan >= rescan_interval:
                        try:
                            logger.info("Smart Scanner: Scanning %s market", market.name)

--- a/src/markets/schedule.py
+++ b/src/markets/schedule.py
@@ -207,7 +207,7 @@ def get_open_markets(
            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", "US_DAY"}
+            return session_id not in {"KR_OFF", "US_OFF"}
        return is_market_open(market, now)

    open_markets = [
@@ -254,10 +254,10 @@ def get_next_market_open(
        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", "US_DAY"}
+        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", "US_DAY"}
+            active = classify_session_id(market, ts) not in {"KR_OFF", "US_OFF"}
            if active and not prev_active:
                return ts
            prev_active = active
--- a/src/strategy/exit_rules.py
+++ b/src/strategy/exit_rules.py
@@ -85,8 +85,8 @@ def evaluate_exit(
        reason = "atr_trailing_stop"
    elif be_lock_threat:
        reason = "be_lock_threat"
-    elif model_exit_signal and next_state == PositionState.BE_LOCK:
-        reason = "model_assist_be_lock"
+    elif model_exit_signal:
+        reason = "model_liquidity_exit"
    elif take_profit_hit:
        # Backward-compatible immediate profit-taking path.
        reason = "arm_take_profit"
--- a/src/strategy/position_state_machine.py
+++ b/src/strategy/position_state_machine.py
@@ -40,8 +40,7 @@ def evaluate_exit_first(inp: StateTransitionInput) -> bool:

    EXITED must be evaluated before any promotion.
    """
-    # model_exit_signal is assist-only and must not trigger EXIT directly.
-    return inp.hard_stop_hit or inp.trailing_stop_hit or inp.be_lock_threat
+    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:
@@ -62,8 +61,5 @@ def promote_state(current: PositionState, inp: StateTransitionInput) -> Position
        target = PositionState.ARMED
    elif inp.unrealized_pnl_pct >= inp.be_arm_pct:
        target = PositionState.BE_LOCK
-    elif inp.model_exit_signal:
-        # Model signal assists risk posture by tightening to BE_LOCK.
-        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
@@ -45,7 +45,7 @@ def test_invalid_failure_rate_range_raises() -> None:
        commission_bps=5.0,
        slippage_bps_by_session={"KRX_REG": 10.0},
        failure_rate_by_session={"KRX_REG": 1.2},
-        partial_fill_rate_by_session={"KRX_REG": 0.2},
+        partial_fill_rate_by_session={"KRX_REG": 0.1},
        unfavorable_fill_required=True,
    )
    with pytest.raises(ValueError, match="failure rate must be within"):
@@ -57,7 +57,7 @@ def test_unfavorable_fill_requirement_cannot_be_disabled() -> None:
        commission_bps=5.0,
        slippage_bps_by_session={"KRX_REG": 10.0},
        failure_rate_by_session={"KRX_REG": 0.02},
-        partial_fill_rate_by_session={"KRX_REG": 0.2},
+        partial_fill_rate_by_session={"KRX_REG": 0.1},
        unfavorable_fill_required=False,
    )
    with pytest.raises(ValueError, match="unfavorable_fill_required must be True"):
@@ -70,7 +70,7 @@ def test_non_finite_commission_rejected(bad_commission: float) -> None:
        commission_bps=bad_commission,
        slippage_bps_by_session={"KRX_REG": 10.0},
        failure_rate_by_session={"KRX_REG": 0.02},
-        partial_fill_rate_by_session={"KRX_REG": 0.2},
+        partial_fill_rate_by_session={"KRX_REG": 0.1},
        unfavorable_fill_required=True,
    )
    with pytest.raises(ValueError, match="commission_bps"):
@@ -83,7 +83,7 @@ def test_non_finite_slippage_rejected(bad_slippage: float) -> None:
        commission_bps=5.0,
        slippage_bps_by_session={"KRX_REG": bad_slippage},
        failure_rate_by_session={"KRX_REG": 0.02},
-        partial_fill_rate_by_session={"KRX_REG": 0.2},
+        partial_fill_rate_by_session={"KRX_REG": 0.1},
        unfavorable_fill_required=True,
    )
    with pytest.raises(ValueError, match="slippage bps"):
@@ -102,13 +102,13 @@ def test_missing_required_partial_fill_session_raises() -> None:
        validate_backtest_cost_model(model=model, required_sessions=["KRX_REG", "US_PRE"])


-@pytest.mark.parametrize("bad_partial_fill", [float("nan"), float("inf"), float("-inf"), -0.1, 1.1])
-def test_invalid_partial_fill_rate_rejected(bad_partial_fill: float) -> None:
+@pytest.mark.parametrize("bad_rate", [-0.1, 1.1, float("nan")])
+def test_invalid_partial_fill_rate_range_raises(bad_rate: float) -> None:
    model = BacktestCostModel(
        commission_bps=5.0,
        slippage_bps_by_session={"KRX_REG": 10.0},
        failure_rate_by_session={"KRX_REG": 0.02},
-        partial_fill_rate_by_session={"KRX_REG": bad_partial_fill},
+        partial_fill_rate_by_session={"KRX_REG": bad_rate},
        unfavorable_fill_required=True,
    )
    with pytest.raises(ValueError, match="partial fill rate must be within"):
--- a/tests/test_backtest_pipeline_integration.py
+++ b/tests/test_backtest_pipeline_integration.py
@@ -35,7 +35,7 @@ def _cost_model() -> 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},
-        partial_fill_rate_by_session={"KRX_REG": 0.05, "US_PRE": 0.2},
+        partial_fill_rate_by_session={"KRX_REG": 0.1, "US_PRE": 0.2},
        unfavorable_fill_required=True,
    )

@@ -72,7 +72,6 @@ def test_pipeline_happy_path_returns_fold_and_artifact_contract() -> None:
        assert names == {"B0", "B1", "M1"}
        for score in fold.baseline_scores:
            assert 0.0 <= score.accuracy <= 1.0
-            assert 0.0 <= score.cost_adjusted_accuracy <= 1.0
        assert fold.execution_adjusted_trade_count >= 0
        assert fold.execution_rejected_count >= 0
        assert fold.execution_partial_count >= 0
@@ -83,7 +82,7 @@ def test_pipeline_cost_guard_fail_fast() -> None:
        commission_bps=3.0,
        slippage_bps_by_session={"KRX_REG": 10.0},
        failure_rate_by_session={"KRX_REG": 0.01},
-        partial_fill_rate_by_session={"KRX_REG": 0.05},
+        partial_fill_rate_by_session={"KRX_REG": 0.1},
        unfavorable_fill_required=True,
    )
    try:
@@ -174,8 +173,8 @@ def test_pipeline_rejects_minutes_spec_when_timestamp_missing() -> None:
        raise AssertionError("expected timestamp validation error")


-def test_pipeline_fold_scores_reflect_cost_and_execution_effects() -> None:
-    cfg = dict(
+def test_pipeline_execution_adjusted_returns_reflect_cost_and_fill_assumptions() -> None:
+    base_cfg = dict(
        bars=_bars(),
        entry_indices=[0, 1, 2, 3, 4, 5, 6, 7],
        side=1,
@@ -193,6 +192,7 @@ def test_pipeline_fold_scores_reflect_cost_and_execution_effects() -> None:
            min_train_size=3,
        ),
    )
+
    optimistic = BacktestCostModel(
        commission_bps=0.0,
        slippage_bps_by_session={"KRX_REG": 0.0, "US_PRE": 0.0},
@@ -202,19 +202,25 @@ def test_pipeline_fold_scores_reflect_cost_and_execution_effects() -> None:
    )
    conservative = BacktestCostModel(
        commission_bps=10.0,
-        slippage_bps_by_session={"KRX_REG": 30.0, "US_PRE": 80.0},
+        slippage_bps_by_session={"KRX_REG": 20.0, "US_PRE": 60.0},
        failure_rate_by_session={"KRX_REG": 0.2, "US_PRE": 0.4},
        partial_fill_rate_by_session={"KRX_REG": 0.5, "US_PRE": 0.7},
        unfavorable_fill_required=True,
    )
-    optimistic_out = run_v2_backtest_pipeline(cost_model=optimistic, **cfg)
-    conservative_out = run_v2_backtest_pipeline(cost_model=conservative, **cfg)

-    assert optimistic_out.folds and conservative_out.folds
-    optimistic_score = optimistic_out.folds[0].baseline_scores[1].cost_adjusted_accuracy
-    conservative_score = conservative_out.folds[0].baseline_scores[1].cost_adjusted_accuracy
-    assert conservative_score < optimistic_score
+    opt_out = run_v2_backtest_pipeline(cost_model=optimistic, **base_cfg)
+    cons_out = run_v2_backtest_pipeline(cost_model=conservative, **base_cfg)

-    optimistic_avg_return = optimistic_out.folds[0].execution_adjusted_avg_return_bps
-    conservative_avg_return = conservative_out.folds[0].execution_adjusted_avg_return_bps
-    assert conservative_avg_return < optimistic_avg_return
+    opt_avg = sum(
+        f.execution_adjusted_avg_return_bps for f in opt_out.folds
+    ) / len(opt_out.folds)
+    cons_avg = sum(
+        f.execution_adjusted_avg_return_bps for f in cons_out.folds
+    ) / len(cons_out.folds)
+    assert cons_avg < opt_avg
+
+    opt_trades = sum(f.execution_adjusted_trade_count for f in opt_out.folds)
+    cons_trades = sum(f.execution_adjusted_trade_count for f in cons_out.folds)
+    cons_rejected = sum(f.execution_rejected_count for f in cons_out.folds)
+    assert cons_trades <= opt_trades
+    assert cons_rejected >= 0
--- a/tests/test_blackout_manager.py
+++ b/tests/test_blackout_manager.py
@@ -35,7 +35,6 @@ def test_recovery_batch_only_after_blackout_exit() -> None:
    intent = QueuedOrderIntent(
        market_code="KR",
        exchange_code="KRX",
-        session_id="KRX_REG",
        stock_code="005930",
        order_type="BUY",
        quantity=1,
@@ -65,7 +64,6 @@ def test_requeued_intent_is_processed_next_non_blackout_cycle() -> None:
    intent = QueuedOrderIntent(
        market_code="KR",
        exchange_code="KRX",
-        session_id="KRX_REG",
        stock_code="005930",
        order_type="BUY",
        quantity=1,
@@ -81,54 +79,3 @@ def test_requeued_intent_is_processed_next_non_blackout_cycle() -> None:
    manager.requeue(first_batch[0])
    second_batch = manager.pop_recovery_batch(outside_blackout)
    assert len(second_batch) == 1
-
-
-def test_queue_overflow_drops_oldest_and_keeps_latest() -> None:
-    manager = BlackoutOrderManager(
-        enabled=True,
-        windows=parse_blackout_windows_kst("23:30-00:10"),
-        max_queue_size=2,
-    )
-    first = QueuedOrderIntent(
-        market_code="KR",
-        exchange_code="KRX",
-        session_id="KRX_REG",
-        stock_code="000001",
-        order_type="BUY",
-        quantity=1,
-        price=100.0,
-        source="first",
-        queued_at=datetime.now(UTC),
-    )
-    second = QueuedOrderIntent(
-        market_code="KR",
-        exchange_code="KRX",
-        session_id="KRX_REG",
-        stock_code="000002",
-        order_type="BUY",
-        quantity=1,
-        price=101.0,
-        source="second",
-        queued_at=datetime.now(UTC),
-    )
-    third = QueuedOrderIntent(
-        market_code="KR",
-        exchange_code="KRX",
-        session_id="KRX_REG",
-        stock_code="000003",
-        order_type="SELL",
-        quantity=2,
-        price=102.0,
-        source="third",
-        queued_at=datetime.now(UTC),
-    )
-
-    assert manager.enqueue(first)
-    assert manager.enqueue(second)
-    assert manager.enqueue(third)
-    assert manager.pending_count == 2
-    assert manager.overflow_drop_count == 1
-
-    outside_blackout = datetime(2026, 1, 1, 15, 20, tzinfo=UTC)
-    batch = manager.pop_recovery_batch(outside_blackout)
-    assert [intent.stock_code for intent in batch] == ["000002", "000003"]
--- a/tests/test_kill_switch.py
+++ b/tests/test_kill_switch.py
@@ -53,52 +53,3 @@ async def test_kill_switch_collects_step_errors() -> None:

    report = await ks.trigger(reason="test", cancel_pending_orders=_boom)
    assert any(err.startswith("cancel_pending_orders:") for err in report.errors)
-
-
-@pytest.mark.asyncio
-async def test_kill_switch_refresh_retries_then_succeeds() -> None:
-    ks = KillSwitchOrchestrator()
-    refresh_calls = {"count": 0}
-
-    def _flaky_refresh() -> None:
-        refresh_calls["count"] += 1
-        if refresh_calls["count"] < 3:
-            raise RuntimeError("temporary refresh failure")
-
-    report = await ks.trigger(
-        reason="test",
-        refresh_order_state=_flaky_refresh,
-        refresh_retry_attempts=3,
-        refresh_retry_base_delay_sec=0.0,
-    )
-    assert refresh_calls["count"] == 3
-    assert report.errors == []
-
-
-@pytest.mark.asyncio
-async def test_kill_switch_refresh_retry_exhausted_records_error_and_continues() -> None:
-    ks = KillSwitchOrchestrator()
-    calls: list[str] = []
-
-    def _refresh_fail() -> None:
-        raise RuntimeError("persistent refresh failure")
-
-    def _reduce() -> None:
-        calls.append("reduce")
-
-    def _snapshot() -> None:
-        calls.append("snapshot")
-
-    report = await ks.trigger(
-        reason="test",
-        refresh_order_state=_refresh_fail,
-        reduce_risk=_reduce,
-        snapshot_state=_snapshot,
-        refresh_retry_attempts=2,
-        refresh_retry_base_delay_sec=0.0,
-    )
-    assert any(
-        err.startswith("refresh_order_state: failed after 2 attempts")
-        for err in report.errors
-    )
-    assert calls == ["reduce", "snapshot"]
--- a/tests/test_main.py
+++ b/tests/test_main.py
@@ -1,7 +1,6 @@
 """Tests for main trading loop integration."""

 from datetime import UTC, date, datetime
-from typing import Any
 from unittest.mock import ANY, AsyncMock, MagicMock, patch

 import pytest
@@ -10,7 +9,6 @@ import src.main as main_module
 from src.config import Settings
 from src.context.layer import ContextLayer
 from src.context.scheduler import ScheduleResult
-from src.core.blackout_manager import BlackoutOrderManager
 from src.core.order_policy import OrderPolicyRejected, get_session_info
 from src.core.risk_manager import CircuitBreakerTripped, FatFingerRejected
 from src.db import init_db, log_trade
@@ -34,9 +32,7 @@ from src.main import (
    _extract_held_codes_from_balance,
    _extract_held_qty_from_balance,
    _handle_market_close,
-    _has_market_session_transition,
    _inject_staged_exit_features,
-    _maybe_queue_order_intent,
    _resolve_market_setting,
    _resolve_sell_qty_for_pnl,
    _retry_connection,
@@ -44,8 +40,6 @@ from src.main import (
    _run_evolution_loop,
    _should_block_overseas_buy_for_fx_buffer,
    _should_force_exit_for_overnight,
-    _should_rescan_market,
-    _split_trade_pnl_components,
    _start_dashboard_server,
    _stoploss_cooldown_minutes,
    _trigger_emergency_kill_switch,
@@ -108,22 +102,22 @@ 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."""
-    def _reset_session_risk_globals() -> None:
-        _SESSION_RISK_LAST_BY_MARKET.clear()
-        _SESSION_RISK_OVERRIDES_BY_MARKET.clear()
-        _SESSION_RISK_PROFILES_MAP.clear()
-        main_module._SESSION_RISK_PROFILES_RAW = "{}"
-
    KILL_SWITCH.clear_block()
    _RUNTIME_EXIT_STATES.clear()
    _RUNTIME_EXIT_PEAKS.clear()
-    _reset_session_risk_globals()
+    _SESSION_RISK_LAST_BY_MARKET.clear()
+    _SESSION_RISK_OVERRIDES_BY_MARKET.clear()
+    _SESSION_RISK_PROFILES_MAP.clear()
+    main_module._SESSION_RISK_PROFILES_RAW = "__reset__"
    _STOPLOSS_REENTRY_COOLDOWN_UNTIL.clear()
    yield
    KILL_SWITCH.clear_block()
    _RUNTIME_EXIT_STATES.clear()
    _RUNTIME_EXIT_PEAKS.clear()
-    _reset_session_risk_globals()
+    _SESSION_RISK_LAST_BY_MARKET.clear()
+    _SESSION_RISK_OVERRIDES_BY_MARKET.clear()
+    _SESSION_RISK_PROFILES_MAP.clear()
+    main_module._SESSION_RISK_PROFILES_RAW = "__reset__"
    _STOPLOSS_REENTRY_COOLDOWN_UNTIL.clear()


@@ -142,38 +136,6 @@ class TestExtractAvgPriceFromBalance:
        result = _extract_avg_price_from_balance(balance, "AAPL", is_domestic=False)
        assert result == 170.5

-
-class TestRealtimeSessionStateHelpers:
-    """Tests for realtime loop session-transition/rescan helper logic."""
-
-    def test_has_market_session_transition_when_state_missing(self) -> None:
-        states: dict[str, str] = {}
-        assert _has_market_session_transition(states, "US_NASDAQ", "US_REG")
-
-    def test_has_market_session_transition_when_session_changes(self) -> None:
-        states = {"US_NASDAQ": "US_PRE"}
-        assert _has_market_session_transition(states, "US_NASDAQ", "US_REG")
-
-    def test_has_market_session_transition_false_when_same_session(self) -> None:
-        states = {"US_NASDAQ": "US_REG"}
-        assert not _has_market_session_transition(states, "US_NASDAQ", "US_REG")
-
-    def test_should_rescan_market_forces_on_session_transition(self) -> None:
-        assert _should_rescan_market(
-            last_scan=1000.0,
-            now_timestamp=1050.0,
-            rescan_interval=300.0,
-            session_changed=True,
-        )
-
-    def test_should_rescan_market_uses_interval_without_transition(self) -> None:
-        assert not _should_rescan_market(
-            last_scan=1000.0,
-            now_timestamp=1050.0,
-            rescan_interval=300.0,
-            session_changed=False,
-        )
-
    def test_returns_zero_when_field_absent(self) -> None:
        """Returns 0.0 when pchs_avg_pric key is missing entirely."""
        balance = {"output1": [{"pdno": "005930", "ord_psbl_qty": "5"}]}
@@ -947,46 +909,6 @@ class TestTradingCycleTelegramIntegration:
        # Verify notification was attempted
        mock_telegram.notify_trade_execution.assert_called_once()

-    @pytest.mark.asyncio
-    async def test_kr_rejected_order_does_not_notify_or_log_trade(
-        self,
-        mock_broker: MagicMock,
-        mock_overseas_broker: MagicMock,
-        mock_scenario_engine: MagicMock,
-        mock_playbook: DayPlaybook,
-        mock_risk: MagicMock,
-        mock_db: MagicMock,
-        mock_decision_logger: MagicMock,
-        mock_context_store: MagicMock,
-        mock_criticality_assessor: MagicMock,
-        mock_telegram: MagicMock,
-        mock_market: MagicMock,
-    ) -> None:
-        """KR orders rejected by KIS should not trigger success side effects."""
-        mock_broker.send_order = AsyncMock(
-            return_value={"rt_cd": "1", "msg1": "장운영시간이 아닙니다."}
-        )
-
-        with patch("src.main.log_trade") as mock_log_trade:
-            await trading_cycle(
-                broker=mock_broker,
-                overseas_broker=mock_overseas_broker,
-                scenario_engine=mock_scenario_engine,
-                playbook=mock_playbook,
-                risk=mock_risk,
-                db_conn=mock_db,
-                decision_logger=mock_decision_logger,
-                context_store=mock_context_store,
-                criticality_assessor=mock_criticality_assessor,
-                telegram=mock_telegram,
-                market=mock_market,
-                stock_code="005930",
-                scan_candidates={},
-            )
-
-        mock_telegram.notify_trade_execution.assert_not_called()
-        mock_log_trade.assert_not_called()
-
    @pytest.mark.asyncio
    async def test_fat_finger_notification_sent(
        self,
@@ -3259,13 +3181,6 @@ async def test_sell_order_uses_broker_balance_qty_not_db() -> None:
    updated_buy = decision_logger.get_decision_by_id(buy_decision_id)
    assert updated_buy is not None
    assert updated_buy.outcome_pnl == -25.0
-    sell_row = db_conn.execute(
-        "SELECT pnl, strategy_pnl, fx_pnl FROM trades WHERE action='SELL' ORDER BY id DESC LIMIT 1"
-    ).fetchone()
-    assert sell_row is not None
-    assert sell_row[0] == -25.0
-    assert sell_row[1] == -25.0
-    assert sell_row[2] == 0.0


@pytest.mark.asyncio
@@ -4683,23 +4598,6 @@ def test_fx_buffer_guard_applies_only_to_us_and_respects_boundary() -> None:
    assert required_jp == 0.0


-def test_split_trade_pnl_components_overseas_fx_split_preserves_total() -> None:
-    market = MagicMock()
-    market.is_domestic = False
-    strategy_pnl, fx_pnl = _split_trade_pnl_components(
-        market=market,
-        trade_pnl=20.0,
-        buy_price=100.0,
-        sell_price=110.0,
-        quantity=2,
-        buy_fx_rate=1200.0,
-        sell_fx_rate=1260.0,
-    )
-    assert strategy_pnl == 10.0
-    assert fx_pnl == 10.0
-    assert strategy_pnl + fx_pnl == pytest.approx(20.0)
-
-
 # run_daily_session — daily CB baseline (daily_start_eval) tests (issue #207)
 # ---------------------------------------------------------------------------

@@ -6453,225 +6351,6 @@ async def test_us_min_price_filter_not_applied_to_kr_market() -> None:
    broker.send_order.assert_called_once()


-@pytest.mark.asyncio
-async def test_session_boundary_reloads_us_min_price_override_in_trading_cycle() -> None:
-    db_conn = init_db(":memory:")
-    decision_logger = DecisionLogger(db_conn)
-
-    broker = MagicMock()
-    broker.get_balance = AsyncMock(return_value={"output1": [], "output2": [{}]})
-
-    overseas_broker = MagicMock()
-    overseas_broker.get_overseas_price = AsyncMock(
-        return_value={"output": {"last": "7.0", "rate": "0.0"}}
-    )
-    overseas_broker.get_overseas_balance = AsyncMock(
-        return_value={
-            "output1": [],
-            "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={"rt_cd": "0", "msg1": "OK"})
-
-    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()
-
-    settings = Settings(
-        KIS_APP_KEY="k",
-        KIS_APP_SECRET="s",
-        KIS_ACCOUNT_NO="12345678-01",
-        GEMINI_API_KEY="g",
-        MODE="paper",
-        PAPER_OVERSEAS_CASH=50000.0,
-        US_MIN_PRICE=5.0,
-        USD_BUFFER_MIN=1000.0,
-        SESSION_RISK_RELOAD_ENABLED=True,
-        SESSION_RISK_PROFILES_JSON=(
-            '{"US_PRE": {"US_MIN_PRICE": 8.0}, "US_DAY": {"US_MIN_PRICE": 5.0}}'
-        ),
-    )
-
-    current_session = {"id": "US_PRE"}
-
-    def _session_info(_: Any) -> MagicMock:
-        return MagicMock(session_id=current_session["id"])
-
-    with (
-        patch("src.main.get_open_position", return_value=None),
-        patch("src.main.get_session_info", side_effect=_session_info),
-    ):
-        await trading_cycle(
-            broker=broker,
-            overseas_broker=overseas_broker,
-            scenario_engine=MagicMock(evaluate=MagicMock(return_value=_make_buy_match("AAPL"))),
-            playbook=_make_playbook("US_NASDAQ"),
-            risk=MagicMock(validate_order=MagicMock(), check_circuit_breaker=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,
-        )
-        assert overseas_broker.send_overseas_order.call_count == 0
-
-        current_session["id"] = "US_DAY"
-        await trading_cycle(
-            broker=broker,
-            overseas_broker=overseas_broker,
-            scenario_engine=MagicMock(evaluate=MagicMock(return_value=_make_buy_match("AAPL"))),
-            playbook=_make_playbook("US_NASDAQ"),
-            risk=MagicMock(validate_order=MagicMock(), check_circuit_breaker=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,
-        )
-
-    assert overseas_broker.send_overseas_order.call_count == 1
-
-
-@pytest.mark.asyncio
-async def test_session_boundary_falls_back_when_profile_reload_fails() -> None:
-    db_conn = init_db(":memory:")
-    decision_logger = DecisionLogger(db_conn)
-
-    broker = MagicMock()
-    broker.get_balance = AsyncMock(return_value={"output1": [], "output2": [{}]})
-
-    overseas_broker = MagicMock()
-    overseas_broker.get_overseas_price = AsyncMock(
-        return_value={"output": {"last": "7.0", "rate": "0.0"}}
-    )
-    overseas_broker.get_overseas_balance = AsyncMock(
-        return_value={
-            "output1": [],
-            "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={"rt_cd": "0", "msg1": "OK"})
-
-    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()
-
-    settings = Settings(
-        KIS_APP_KEY="k",
-        KIS_APP_SECRET="s",
-        KIS_ACCOUNT_NO="12345678-01",
-        GEMINI_API_KEY="g",
-        MODE="paper",
-        PAPER_OVERSEAS_CASH=50000.0,
-        US_MIN_PRICE=5.0,
-        USD_BUFFER_MIN=1000.0,
-        SESSION_RISK_RELOAD_ENABLED=True,
-        SESSION_RISK_PROFILES_JSON='{"US_PRE": {"US_MIN_PRICE": 8.0}}',
-    )
-
-    current_session = {"id": "US_PRE"}
-
-    def _session_info(_: Any) -> MagicMock:
-        return MagicMock(session_id=current_session["id"])
-
-    with (
-        patch("src.main.get_open_position", return_value=None),
-        patch("src.main.get_session_info", side_effect=_session_info),
-    ):
-        await trading_cycle(
-            broker=broker,
-            overseas_broker=overseas_broker,
-            scenario_engine=MagicMock(evaluate=MagicMock(return_value=_make_buy_match("AAPL"))),
-            playbook=_make_playbook("US_NASDAQ"),
-            risk=MagicMock(validate_order=MagicMock(), check_circuit_breaker=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,
-        )
-        assert overseas_broker.send_overseas_order.call_count == 0
-
-        settings.SESSION_RISK_PROFILES_JSON = "{invalid-json"
-        current_session["id"] = "US_DAY"
-        await trading_cycle(
-            broker=broker,
-            overseas_broker=overseas_broker,
-            scenario_engine=MagicMock(evaluate=MagicMock(return_value=_make_buy_match("AAPL"))),
-            playbook=_make_playbook("US_NASDAQ"),
-            risk=MagicMock(validate_order=MagicMock(), check_circuit_breaker=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,
-        )
-
-    assert overseas_broker.send_overseas_order.call_count == 1
-
-
 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")):
@@ -6796,7 +6475,6 @@ async def test_blackout_queues_order_and_skips_submission() -> None:
    blackout_manager.in_blackout.return_value = True
    blackout_manager.enqueue.return_value = True
    blackout_manager.pending_count = 1
-    blackout_manager.overflow_drop_count = 0

    with patch("src.main.BLACKOUT_ORDER_MANAGER", blackout_manager):
        await trading_cycle(
@@ -6826,43 +6504,6 @@ async def test_blackout_queues_order_and_skips_submission() -> None:
    blackout_manager.enqueue.assert_called_once()


-def test_blackout_queue_overflow_keeps_latest_intent() -> None:
-    manager = BlackoutOrderManager(enabled=True, windows=[], max_queue_size=1)
-    manager.in_blackout = lambda now=None: True  # type: ignore[method-assign]
-
-    market = MagicMock()
-    market.code = "KR"
-    market.exchange_code = "KRX"
-
-    with patch("src.main.BLACKOUT_ORDER_MANAGER", manager):
-        assert _maybe_queue_order_intent(
-            market=market,
-            session_id="KRX_REG",
-            stock_code="005930",
-            order_type="BUY",
-            quantity=1,
-            price=100.0,
-            source="test-first",
-        )
-        assert _maybe_queue_order_intent(
-            market=market,
-            session_id="KRX_REG",
-            stock_code="000660",
-            order_type="BUY",
-            quantity=2,
-            price=200.0,
-            source="test-second",
-        )
-
-    assert manager.pending_count == 1
-    assert manager.overflow_drop_count == 1
-    manager.in_blackout = lambda now=None: False  # type: ignore[method-assign]
-    batch = manager.pop_recovery_batch()
-    assert len(batch) == 1
-    assert batch[0].stock_code == "000660"
-    assert batch[0].session_id == "KRX_REG"
-
-
@pytest.mark.asyncio
 async def test_process_blackout_recovery_executes_valid_intents() -> None:
    """Recovery must execute queued intents that pass revalidation."""
@@ -6940,7 +6581,6 @@ async def test_process_blackout_recovery_drops_policy_rejected_intent() -> None:
    intent.quantity = 1
    intent.price = 100.0
    intent.source = "test"
-    intent.session_id = "KRX_REG"
    intent.attempts = 0

    blackout_manager = MagicMock()
@@ -6990,7 +6630,6 @@ async def test_process_blackout_recovery_drops_intent_on_excessive_price_drift()
    intent.quantity = 1
    intent.price = 100.0
    intent.source = "test"
-    intent.session_id = "US_PRE"
    intent.attempts = 0

    blackout_manager = MagicMock()
@@ -7041,7 +6680,6 @@ async def test_process_blackout_recovery_drops_overseas_intent_on_excessive_pric
    intent.quantity = 1
    intent.price = 100.0
    intent.source = "test"
-    intent.session_id = "KRX_REG"
    intent.attempts = 0

    blackout_manager = MagicMock()
@@ -7091,7 +6729,6 @@ async def test_process_blackout_recovery_requeues_intent_when_price_lookup_fails
    intent.quantity = 1
    intent.price = 100.0
    intent.source = "test"
-    intent.session_id = "KRX_REG"
    intent.attempts = 0

    blackout_manager = MagicMock()
@@ -7228,27 +6865,3 @@ async def test_trigger_emergency_kill_switch_records_cancel_failure() -> None:
        )

    assert any(err.startswith("cancel_pending_orders:") for err in report.errors)
-
-
-@pytest.mark.asyncio
-async def test_refresh_order_state_failure_summary_includes_more_count() -> None:
-    broker = MagicMock()
-    broker.get_balance = AsyncMock(side_effect=RuntimeError("domestic down"))
-    overseas_broker = MagicMock()
-    overseas_broker.get_overseas_balance = AsyncMock(side_effect=RuntimeError("overseas down"))
-
-    markets = []
-    for code, exchange in [("KR", "KRX"), ("US_PRE", "NASD"), ("US_DAY", "NYSE"), ("JP", "TKSE")]:
-        market = MagicMock()
-        market.code = code
-        market.exchange_code = exchange
-        market.is_domestic = code == "KR"
-        markets.append(market)
-
-    with pytest.raises(RuntimeError, match=r"\(\+1 more\)$") as exc_info:
-        await main_module._refresh_order_state_for_kill_switch(
-            broker=broker,
-            overseas_broker=overseas_broker,
-            markets=markets,
-        )
-    assert "KR/KRX" in str(exc_info.value)
--- a/tests/test_market_schedule.py
+++ b/tests/test_market_schedule.py
@@ -165,17 +165,6 @@ class TestGetOpenMarkets:
        )
        assert {m.code for m in extended} == {"US_NASDAQ", "US_NYSE", "US_AMEX"}

-    def test_get_open_markets_excludes_us_day_when_extended_enabled(self) -> None:
-        """US_DAY should be treated as non-tradable even in extended-session lookup."""
-        # Monday 2026-02-02 10:30 KST = 01:30 UTC (US_DAY by session classification)
-        test_time = datetime(2026, 2, 2, 1, 30, tzinfo=ZoneInfo("UTC"))
-        extended = get_open_markets(
-            enabled_markets=["US_NASDAQ", "US_NYSE", "US_AMEX"],
-            now=test_time,
-            include_extended_sessions=True,
-        )
-        assert extended == []
-

 class TestGetNextMarketOpen:
    """Test get_next_market_open function."""
@@ -225,8 +214,8 @@ class TestGetNextMarketOpen:
    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
-        # US_DAY is treated as non-tradable in extended lookup, so after entering
-        # US_DAY the next tradable OFF->ON transition is US_PRE at 09:00 UTC next day.
+        # 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"],
@@ -234,7 +223,7 @@ class TestGetNextMarketOpen:
            include_extended_sessions=True,
        )
        assert market.code == "US_NASDAQ"
-        assert next_open == datetime(2026, 2, 3, 9, 0, tzinfo=ZoneInfo("UTC"))
+        assert next_open == datetime(2026, 2, 3, 1, 0, tzinfo=ZoneInfo("UTC"))


 class TestExpandMarketCodes:
--- a/tests/test_runtime_overnight_scripts.py
+++ b/tests/test_runtime_overnight_scripts.py
@@ -1,160 +0,0 @@
-from __future__ import annotations
-
-import os
-import signal
-import socket
-import subprocess
-from pathlib import Path
-
-import pytest
-
-REPO_ROOT = Path(__file__).resolve().parent.parent
-RUN_OVERNIGHT = REPO_ROOT / "scripts" / "run_overnight.sh"
-RUNTIME_MONITOR = REPO_ROOT / "scripts" / "runtime_verify_monitor.sh"
-
-
-def _latest_runtime_log(log_dir: Path) -> str:
-    logs = sorted(log_dir.glob("runtime_verify_*.log"))
-    assert logs, "runtime monitor did not produce log output"
-    return logs[-1].read_text(encoding="utf-8")
-
-
-def test_runtime_verify_monitor_detects_live_process_without_pid_files(tmp_path: Path) -> None:
-    log_dir = tmp_path / "overnight"
-    log_dir.mkdir(parents=True, exist_ok=True)
-
-    fake_live = subprocess.Popen(
-        ["bash", "-lc", 'exec -a "src.main --mode=live" sleep 10'],
-        cwd=REPO_ROOT,
-    )
-    try:
-        env = os.environ.copy()
-        env.update(
-            {
-                "ROOT_DIR": str(REPO_ROOT),
-                "LOG_DIR": str(log_dir),
-                "INTERVAL_SEC": "1",
-                "MAX_HOURS": "1",
-                "MAX_LOOPS": "1",
-                "POLICY_TZ": "UTC",
-            }
-        )
-        completed = subprocess.run(
-            ["bash", str(RUNTIME_MONITOR)],
-            cwd=REPO_ROOT,
-            env=env,
-            capture_output=True,
-            text=True,
-            check=False,
-        )
-        assert completed.returncode == 0, completed.stderr
-
-        log_text = _latest_runtime_log(log_dir)
-        assert "app_alive=1" in log_text
-        assert "[COVERAGE] LIVE_MODE=PASS source=process_liveness" in log_text
-        assert "[ANOMALY]" not in log_text
-    finally:
-        fake_live.terminate()
-        fake_live.wait(timeout=5)
-
-
-def test_run_overnight_fails_fast_when_dashboard_port_in_use(tmp_path: Path) -> None:
-    log_dir = tmp_path / "overnight"
-    log_dir.mkdir(parents=True, exist_ok=True)
-
-    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-    sock.bind(("127.0.0.1", 0))
-    sock.listen(1)
-    port = sock.getsockname()[1]
-    try:
-        env = os.environ.copy()
-        env.update(
-            {
-                "LOG_DIR": str(log_dir),
-                "TMUX_AUTO": "false",
-                "DASHBOARD_PORT": str(port),
-            }
-        )
-        completed = subprocess.run(
-            ["bash", str(RUN_OVERNIGHT)],
-            cwd=REPO_ROOT,
-            env=env,
-            capture_output=True,
-            text=True,
-            check=False,
-        )
-        assert completed.returncode != 0
-        output = f"{completed.stdout}\n{completed.stderr}"
-        assert "already in use" in output
-    finally:
-        sock.close()
-
-
-def test_run_overnight_writes_live_pid_and_watchdog_pid(tmp_path: Path) -> None:
-    log_dir = tmp_path / "overnight"
-    log_dir.mkdir(parents=True, exist_ok=True)
-
-    env = os.environ.copy()
-    env.update(
-        {
-            "LOG_DIR": str(log_dir),
-            "TMUX_AUTO": "false",
-            "STARTUP_GRACE_SEC": "1",
-            "CHECK_INTERVAL": "2",
-            "APP_CMD_BIN": "sleep",
-            "APP_CMD_ARGS": "10",
-        }
-    )
-    completed = subprocess.run(
-        ["bash", str(RUN_OVERNIGHT)],
-        cwd=REPO_ROOT,
-        env=env,
-        capture_output=True,
-        text=True,
-        check=False,
-    )
-    assert completed.returncode == 0, f"{completed.stdout}\n{completed.stderr}"
-
-    app_pid = int((log_dir / "app.pid").read_text(encoding="utf-8").strip())
-    watchdog_pid = int((log_dir / "watchdog.pid").read_text(encoding="utf-8").strip())
-
-    os.kill(app_pid, 0)
-    os.kill(watchdog_pid, 0)
-
-    for pid in (watchdog_pid, app_pid):
-        try:
-            os.kill(pid, signal.SIGTERM)
-        except ProcessLookupError:
-            pass
-
-
-def test_run_overnight_fails_when_process_exits_before_grace_period(tmp_path: Path) -> None:
-    log_dir = tmp_path / "overnight"
-    log_dir.mkdir(parents=True, exist_ok=True)
-
-    env = os.environ.copy()
-    env.update(
-        {
-            "LOG_DIR": str(log_dir),
-            "TMUX_AUTO": "false",
-            "STARTUP_GRACE_SEC": "1",
-            "APP_CMD_BIN": "false",
-        }
-    )
-    completed = subprocess.run(
-        ["bash", str(RUN_OVERNIGHT)],
-        cwd=REPO_ROOT,
-        env=env,
-        capture_output=True,
-        text=True,
-        check=False,
-    )
-    assert completed.returncode != 0
-    output = f"{completed.stdout}\n{completed.stderr}"
-    assert "startup failed:" in output
-
-    watchdog_pid_file = log_dir / "watchdog.pid"
-    if watchdog_pid_file.exists():
-        watchdog_pid = int(watchdog_pid_file.read_text(encoding="utf-8").strip())
-        with pytest.raises(ProcessLookupError):
-            os.kill(watchdog_pid, 0)
--- a/tests/test_strategy_exit_rules.py
+++ b/tests/test_strategy_exit_rules.py
@@ -22,18 +22,17 @@ def test_take_profit_exit_for_backward_compatibility() -> None:
    assert out.reason == "arm_take_profit"


-def test_model_assist_signal_promotes_be_lock_without_direct_exit() -> None:
+def test_model_assist_exit_signal() -> None:
    out = evaluate_exit(
-        current_state=PositionState.HOLDING,
-        config=ExitRuleConfig(model_prob_threshold=0.62, be_arm_pct=1.2, arm_pct=10.0),
+        current_state=PositionState.ARMED,
+        config=ExitRuleConfig(model_prob_threshold=0.62, arm_pct=10.0),
        inp=ExitRuleInput(
-            current_price=100.5,
+            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 False
-    assert out.state == PositionState.BE_LOCK
-    assert out.reason == "model_assist_be_lock"
+    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
@@ -28,29 +28,3 @@ def test_exited_has_priority_over_promotion() -> None:
        ),
    )
    assert state == PositionState.EXITED
-
-
-def test_model_signal_promotes_be_lock_as_assist() -> None:
-    state = promote_state(
-        PositionState.HOLDING,
-        StateTransitionInput(
-            unrealized_pnl_pct=0.5,
-            be_arm_pct=1.2,
-            arm_pct=2.8,
-            model_exit_signal=True,
-        ),
-    )
-    assert state == PositionState.BE_LOCK
-
-
-def test_model_signal_does_not_force_exit_directly() -> None:
-    state = promote_state(
-        PositionState.ARMED,
-        StateTransitionInput(
-            unrealized_pnl_pct=1.0,
-            be_arm_pct=1.2,
-            arm_pct=2.8,
-            model_exit_signal=True,
-        ),
-    )
-    assert state == PositionState.ARMED
--- a/tests/test_validate_docs_sync.py
+++ b/tests/test_validate_docs_sync.py
@@ -121,44 +121,3 @@ def test_validate_testing_doc_has_dynamic_count_guidance(monkeypatch) -> None:
    monkeypatch.setattr(module, "_read", fake_read)
    module.validate_testing_doc_has_dynamic_count_guidance(errors)
    assert errors == []
-
-
-def test_validate_pr_body_postcheck_guidance_passes(monkeypatch) -> None:
-    module = _load_module()
-    errors: list[str] = []
-    fake_docs = {
-        str(module.REQUIRED_FILES["commands"]): (
-            "PR Body Post-Check (Mandatory)\n"
-            "python3 scripts/validate_pr_body.py --pr <PR_NUMBER>\n"
-        ),
-        str(module.REQUIRED_FILES["workflow"]): (
-            "PR 생성 직후 본문 무결성 검증(필수)\n"
-            "python3 scripts/validate_pr_body.py --pr <PR_NUMBER>\n"
-        ),
-    }
-
-    def fake_read(path: Path) -> str:
-        return fake_docs[str(path)]
-
-    monkeypatch.setattr(module, "_read", fake_read)
-    module.validate_pr_body_postcheck_guidance(errors)
-    assert errors == []
-
-
-def test_validate_pr_body_postcheck_guidance_reports_missing_tokens(
-    monkeypatch,
-) -> None:
-    module = _load_module()
-    errors: list[str] = []
-    fake_docs = {
-        str(module.REQUIRED_FILES["commands"]): "PR Body Post-Check (Mandatory)\n",
-        str(module.REQUIRED_FILES["workflow"]): "PR Body Post-Check\n",
-    }
-
-    def fake_read(path: Path) -> str:
-        return fake_docs[str(path)]
-
-    monkeypatch.setattr(module, "_read", fake_read)
-    module.validate_pr_body_postcheck_guidance(errors)
-    assert any("commands.md" in err for err in errors)
-    assert any("workflow.md" in err for err in errors)
--- a/tests/test_validate_ouroboros_docs.py
+++ b/tests/test_validate_ouroboros_docs.py
@@ -79,42 +79,3 @@ def test_validate_links_avoids_duplicate_error_for_invalid_plan_link(tmp_path) -

    assert len(errors) == 1
    assert "invalid plan link path" in errors[0]
-
-
-def test_validate_issue_status_consistency_reports_conflicts() -> None:
-    module = _load_module()
-    errors: list[str] = []
-    path = Path("docs/ouroboros/80_implementation_audit.md").resolve()
-    text = "\n".join(
-        [
-            "| REQ-V3-004 | 상태 | 부분 | `#328` 잔여 |",
-            "| 항목 | 상태 | ✅ 완료 | `#328` 머지 |",
-        ]
-    )
-
-    module.validate_issue_status_consistency(path, text, errors)
-
-    assert len(errors) == 1
-    assert "conflicting status for issue #328" in errors[0]
-
-
-def test_validate_issue_status_consistency_allows_done_only() -> None:
-    module = _load_module()
-    errors: list[str] = []
-    path = Path("docs/ouroboros/80_implementation_audit.md").resolve()
-    text = "| 항목 | 상태 | ✅ 완료 | `#371` 머지 |"
-
-    module.validate_issue_status_consistency(path, text, errors)
-
-    assert errors == []
-
-
-def test_validate_issue_status_consistency_allows_pending_only() -> None:
-    module = _load_module()
-    errors: list[str] = []
-    path = Path("docs/ouroboros/80_implementation_audit.md").resolve()
-    text = "| 항목 | 상태 | 부분 | `#390` 추적 이슈 |"
-
-    module.validate_issue_status_consistency(path, text, errors)
-
-    assert errors == []
--- a/tests/test_validate_pr_body.py
+++ b/tests/test_validate_pr_body.py
@@ -1,126 +0,0 @@
-from __future__ import annotations
-
-import importlib.util
-import json
-from pathlib import Path
-from types import SimpleNamespace
-
-import pytest
-
-
-def _load_module():
-    script_path = Path(__file__).resolve().parents[1] / "scripts" / "validate_pr_body.py"
-    spec = importlib.util.spec_from_file_location("validate_pr_body", script_path)
-    assert spec is not None
-    assert spec.loader is not None
-    module = importlib.util.module_from_spec(spec)
-    spec.loader.exec_module(module)
-    return module
-
-
-def test_validate_pr_body_text_detects_escaped_newline() -> None:
-    module = _load_module()
-    errors = module.validate_pr_body_text("## Summary\\n- item")
-    assert any("escaped newline" in err for err in errors)
-
-
-def test_validate_pr_body_text_detects_escaped_newline_in_multiline_body() -> None:
-    module = _load_module()
-    text = "## Summary\n- first line\n- broken line with \\n literal"
-    errors = module.validate_pr_body_text(text)
-    assert any("escaped newline" in err for err in errors)
-
-
-def test_validate_pr_body_text_allows_escaped_newline_in_code_blocks() -> None:
-    module = _load_module()
-    text = "\n".join(
-        [
-            "## Summary",
-            "- example uses `\\n` for explanation",
-            "```bash",
-            "printf 'line1\\nline2\\n'",
-            "```",
-        ]
-    )
-    assert module.validate_pr_body_text(text) == []
-
-
-def test_validate_pr_body_text_detects_unbalanced_code_fence() -> None:
-    module = _load_module()
-    errors = module.validate_pr_body_text("## Summary\n- item\n```bash\necho hi\n")
-    assert any("unbalanced fenced code blocks" in err for err in errors)
-
-
-def test_validate_pr_body_text_detects_missing_structure() -> None:
-    module = _load_module()
-    errors = module.validate_pr_body_text("plain text only")
-    assert any("missing markdown section headers" in err for err in errors)
-    assert any("missing markdown list items" in err for err in errors)
-
-
-def test_validate_pr_body_text_passes_with_valid_markdown() -> None:
-    module = _load_module()
-    text = "\n".join(
-        [
-            "## Summary",
-            "- item",
-            "",
-            "## Validation",
-            "```bash",
-            "pytest -q",
-            "```",
-        ]
-    )
-    assert module.validate_pr_body_text(text) == []
-
-
-def test_fetch_pr_body_reads_body_from_tea_api(monkeypatch) -> None:
-    module = _load_module()
-
-    def fake_run(cmd, check, capture_output, text):  # noqa: ANN001
-        assert cmd[0] == "/tmp/tea-bin"
-        assert check is True
-        assert capture_output is True
-        assert text is True
-        return SimpleNamespace(stdout=json.dumps({"body": "## Summary\n- item"}))
-
-    monkeypatch.setattr(module, "resolve_tea_binary", lambda: "/tmp/tea-bin")
-    monkeypatch.setattr(module.subprocess, "run", fake_run)
-    assert module.fetch_pr_body(391) == "## Summary\n- item"
-
-
-def test_fetch_pr_body_rejects_non_string_body(monkeypatch) -> None:
-    module = _load_module()
-
-    def fake_run(cmd, check, capture_output, text):  # noqa: ANN001
-        return SimpleNamespace(stdout=json.dumps({"body": 123}))
-
-    monkeypatch.setattr(module, "resolve_tea_binary", lambda: "/tmp/tea-bin")
-    monkeypatch.setattr(module.subprocess, "run", fake_run)
-    with pytest.raises(RuntimeError):
-        module.fetch_pr_body(391)
-
-
-def test_resolve_tea_binary_falls_back_to_home_bin(monkeypatch, tmp_path) -> None:
-    module = _load_module()
-    tea_home = tmp_path / "bin" / "tea"
-    tea_home.parent.mkdir(parents=True)
-    tea_home.write_text("#!/usr/bin/env bash\n", encoding="utf-8")
-    tea_home.chmod(0o755)
-
-    monkeypatch.setattr(module.shutil, "which", lambda _: None)
-    monkeypatch.setattr(module.Path, "home", lambda: tmp_path)
-    assert module.resolve_tea_binary() == str(tea_home)
-
-
-def test_resolve_tea_binary_rejects_non_executable_home_bin(monkeypatch, tmp_path) -> None:
-    module = _load_module()
-    tea_home = tmp_path / "bin" / "tea"
-    tea_home.parent.mkdir(parents=True)
-    tea_home.write_text("not executable\n", encoding="utf-8")
-    tea_home.chmod(0o644)
-
-    monkeypatch.setattr(module.shutil, "which", lambda _: None)
-    monkeypatch.setattr(module.Path, "home", lambda: tmp_path)
-    with pytest.raises(RuntimeError):
-        module.resolve_tea_binary()
--- a/workflow/session-handover.md
+++ b/workflow/session-handover.md
@@ -105,35 +105,3 @@
 - next_ticket: #368
 - process_gate_checked: process_ticket=#306,#308 merged_to_feature_branch=yes
 - risks_or_notes: TASK-V2-012 구현 갭 보완을 위해 cost guard + execution-adjusted fold metric + 회귀 테스트를 함께 반영한다.
-
-### 2026-03-02 | session=codex-v3-stream-next-ticket-369
- branch: feature/v3-session-policy-stream
- docs_checked: docs/workflow.md, docs/commands.md, docs/agent-constraints.md
- open_issues_reviewed: #369, #370, #371, #374, #375, #376, #377, #381
- next_ticket: #369
- process_gate_checked: process_ticket=#306,#308 merged_to_feature_branch=yes
- risks_or_notes: 구현 티켓은 코드/테스트/문서(요구사항 원장/구현감사/PR traceability) 동시 반영을 기본 원칙으로 진행한다.
-
-### 2026-03-02 | session=codex-issue369-start
- branch: feature/issue-369-model-exit-signal-spec-sync
- docs_checked: docs/workflow.md, docs/commands.md, docs/agent-constraints.md
- open_issues_reviewed: #369
- next_ticket: #369
- process_gate_checked: process_ticket=#306,#308 merged_to_feature_branch=yes
- risks_or_notes: v2 사양 기준으로 model_exit_signal을 직접 청산 트리거가 아닌 보조 트리거로 정합화하고 테스트/문서를 동기화한다.
-
-### 2026-03-02 | session=codex-v3-stream-next-ticket-377
- branch: feature/v3-session-policy-stream
- docs_checked: docs/workflow.md, docs/commands.md, docs/agent-constraints.md
- open_issues_reviewed: #377, #370, #371, #375, #376, #381
- next_ticket: #377
- process_gate_checked: process_ticket=#306,#308 merged_to_feature_branch=yes
- risks_or_notes: kill switch refresh 재시도 정책(횟수/간격/중단조건)을 코드/테스트/요구사항 원장/감사 문서에 동시 반영한다.
-
-### 2026-03-02 | session=codex-issue377-start
- branch: feature/issue-377-kill-switch-refresh-retry
- docs_checked: docs/workflow.md, docs/commands.md, docs/agent-constraints.md
- open_issues_reviewed: #377
- next_ticket: #377
- process_gate_checked: process_ticket=#306,#308 merged_to_feature_branch=yes
- risks_or_notes: refresh 단계를 최대 3회(초기+재시도2), 실패 시 지수 백오프로 재시도하고 성공 시 즉시 중단, 소진 시 오류를 기록한 뒤 다음 단계를 계속 수행한다.
Author	SHA1	Message	Date
agentson	200bc82a27	analysis: apply execution-adjusted cost model in v2 backtest pipeline (#368 ) Some checks failed Gitea CI / test (push) Successful in 32s Details Gitea CI / test (pull_request) Failing after 6s Details	2026-03-02 03:37:24 +09:00
agentson	c967ae6715	blackout: simplify recovery session_id binding to queued value	2026-03-02 03:16:55 +09:00