docs: /infra 워커 관측 규칙 + trade-monitor climax 정합 반영

- CLAUDE.md: 모든 WSL docker 워커 /infra 관측 필수 규칙(BE 팀규칙) + services 행에 trade-monitor(:18715) 반영 - README.md: sell_climax 정합·36 tests·env 우선순위 문구 갱신 Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01N83vbXEA8h83GMXQcg8fxD
fix(trade-monitor): sell_climax holdings_intel 정합
2026-07-03 11:15:36 +09:00 · 2026-07-03 11:15:27 +09:00 · 2026-07-03 11:05:57 +09:00 · 2026-07-03 01:48:14 +09:00 · 2026-07-03 01:47:34 +09:00 · 2026-07-03 01:47:34 +09:00
27 changed files with 2682 additions and 5 deletions
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -15,12 +15,14 @@ Windows AI 머신 (AMD 9800X3D + RTX 5070 Ti 16GB) 의 두 신호 파이프라
 | `ai_trade/` | 자동매매 메인 (구 `signal_v2` 2026-05-19 rename) — Chronos-bolt + 분봉 모멘텀 + KIS WebSocket + 신호 생성 | `:8001` | **Phase 4 완료 (2026-05-17)**, Phase 5 대기 |
 | `legacy/start_v1.bat` | (deprecated) V1 진입점 — root `start.bat`에서 이동됨. 자동 실행 차단 | — | **OFF** |
 | `ai_trade/start.bat` | 자동매매 진입점 | — | `ai_trade/main.py` uvicorn 실행 |
-| `services/` | (예정) NAS↔Windows 분산 worker — insta-render·music-render·video-render·task-watcher | 18710~ | **Plan-B-Insta 작업 중** |
+| `services/` | NAS↔Windows 분산 worker — insta·music·video·image-render·task-watcher·**trade-monitor(:18715, 실시간 매매 알람)** | 18710~ | 운영 |
 | `.env` | 환경변수 (`KIS_REAL_*`, `TELEGRAM_*`, `STOCK_API_URL`, `WEBAI_API_KEY`, `LOG_LEVEL`) | — | |
 | `requirements.txt` | 공용 의존성 | — | torch, chronos-forecasting, fastapi, httpx, websockets 등 |

 `.venv` 는 **구조적으로 깨짐**: `pyvenv.cfg` 가 한글 사용자 경로(`C:\Users\박재오\...`) 를 포함하여 콘솔 코드페이지가 roundtrip 못함. 테스트는 시스템 Python 으로 실행: `C:\Users\jaeoh\AppData\Local\Programs\Python\Python312\python.exe -m pytest ai_trade/tests -q`.

+> **분산 워커 /infra 관측 규칙 (팀 규칙, BE 제정)**: 모든 WSL docker 워커는 ① Redis `worker:<name>:heartbeat`(EX45) 발신 ② BE `node_monitor.WORKER_REGISTRY` 등재 ③ `/api/agent-office/nodes`·web-ui `/infra` 노출이 필수. trade-monitor는 kind=trader로 등재됨.
+
 ---

 ## 서버 시작 방식
--- a/README.md
+++ b/README.md
@@ -3,7 +3,7 @@
 Windows AI 머신(AMD 9800X3D + RTX 5070 Ti 16GB)에서 동작하는 두 영역의 서비스:

 1. **ai_trade** — Confidence Signal Pipeline V2. NAS stock 백엔드와 KIS Open API를 결합해 매수/매도 신호를 생성하는 FastAPI 워커.
-2. **services** — NAS↔Windows 분산 렌더링 워커(인스타 카드 / 음악 / 영상 / 이미지) + task-watcher.
+2. **services** — NAS↔Windows 분산 워커: 렌더링(인스타 카드 / 음악 / 영상 / 이미지) + task-watcher + **trade-monitor**(실시간 매매 알람).

 상위 워크스페이스 컨텍스트는 `../CLAUDE.md`, 본 디렉토리 상세는 `CLAUDE.md`, 운영 체크포인트는 `CHECK_POINT.md` 참조.

@@ -20,6 +20,7 @@ Windows AI 머신(AMD 9800X3D + RTX 5070 Ti 16GB)에서 동작하는 두 영역
 | `services/video-render/` | sora / veo / kling / seedance 4 provider 영상 생성 게이트웨이. `queue:video-render` 소비. | `:18712` |
 | `services/image-render/` | gpt_image / nano_banana / flux(ComfyUI 로컬) 3 provider. `queue:image-render` 소비. | `:18714` |
 | `services/task-watcher/` | 박재오 작업 시간대에 `queue:paused` 토글 → 워커 일시 정지. | `:18713` |
+| `services/trade-monitor/` | 실시간 매매 알람. monitor-set pull → KIS 시세 + TA 조건(§6 8종) → report + heartbeat(kind=trader). 무상태. | `:18715` |
 | `legacy/signal_v1/` | ⚠ **DEPRECATED** (2026-05-19). LSTM 봇. 자동 실행 차단됨. | OFF |

 ---
@@ -130,6 +131,60 @@ redis-cli -h 192.168.45.54 KEYS 'processing:*'

 ---

+## trade-monitor — 실시간 매매 알람 워커 (신규 2026-07-03)
+
+NAS stock 백엔드(`:18500`)에서 `monitor-set`을 60초마다 pull하고, KIS 실시간/일봉 시세로 TA 조건을 평가해 발화집합을 `report`로 전송. NAS가 edge diff로 신규 알림만 텔레그램/프론트에 노출. **워커 무상태**(dedup은 NAS 영속). 포트 `:18715`, WSL2 Docker. 상세 설계·조건 규칙은 `services/trade-monitor/DESIGN.md`.
+
+### 루프 (1분)
+
+1. `GET /api/webai/trade-alert/monitor-set` (X-WebAI-Key) → buy_targets(watch∪screener) + sell_targets(보유 avg_price/qty/holding_high) + buy_params/exit_params + session.
+2. `session=="closed"`면 KIS 호출 0, idle. **비-KRX(알파벳) 티커 skip**(워커 책임).
+3. KIS quote + 일봉 250봉 → 지표 계산 → 조건 평가(종목 단위 실패 격리).
+4. `POST /api/webai/trade-alert/report {as_of, firing:[...]}` — 빈 배열도 전송(edge clear).
+5. heartbeat `worker:trade-monitor:heartbeat` EX45 (kind=trader, state=market_open|market_closed|idle + last_alert_at). 60초 루프 > TTL45 만료갭 회피 위해 **15초 독립 태스크**.
+
+### 조건 (§6 — `condition` 문자열이 FE 라벨/뱃지로 그대로 매핑됨)
+
+- **매수**: `buy_ma20_pullback`(정배열 + ma20 근접 반등), `buy_breakout`(20봉 고점 돌파 + 거래량 배수), `buy_rsi_bounce`(RSI 과매도 반등, 무상태).
+- **매도**: `sell_stop_loss`, `sell_take_profit`, `sell_trailing_stop`, `sell_ma_break`(ma50/ma200 severity), `sell_climax`(거래량 급증 + `price<day_high×0.97` 윗꼬리 — holdings_intel 정합됨, `exit_params` 파라미터화).
+
+### 핵심 파일
+
+| 파일 | 책임 |
+|------|------|
+| `config.py` | Settings (`TM_` 접두사, ai_trade와 분리) |
+| `indicators.py` | 순수: `sma` / `rsi_series`(Wilder) / `highest_high` |
+| `conditions.py` | 순수 §6: `evaluate_buy` / `evaluate_sell` |
+| `kis_client.py` | KIS **자체 OAuth 토큰** + `get_quote` + `get_daily_ohlcv` + 0.5s throttle |
+| `nas_client.py` | monitor-set / report (X-WebAI-Key + retry) |
+| `monitor.py` | `run_cycle` / `monitor_loop` / `make_state_fn` |
+| `main.py` | FastAPI lifespan + `_shared.heartbeat_loop` 배선 + `/health` |
+
+### 환경 변수
+
+| 변수 | 기본 | 설명 |
+|------|------|------|
+| `NAS_BASE_URL` | `http://192.168.45.54:18500` | stock 백엔드 |
+| `WEBAI_API_KEY` | (필수) | X-WebAI-Key |
+| `REDIS_URL` | `redis://192.168.45.54:6379` | heartbeat |
+| `TM_KIS_APP_KEY` / `TM_KIS_APP_SECRET` / `TM_KIS_ACCOUNT` | (필수) | KIS **전용** 자체 토큰(ai_trade와 분리 발급 → 토큰 상호 무효화·EGW00201 회피) |
+| `TM_KIS_IS_VIRTUAL` | `0` | 실전/모의 |
+| `TM_LOOP_INTERVAL` | `60` | 루프 주기(초) |
+| `TM_CLIMAX_VOL_MULT` | `3.0` | sell_climax 거래량 배수 fallback (우선순위: monitor-set `exit_params.climax_vol_x` > 이 값) |
+
+### 상태
+
+⏳ 구현·머지 완료(테스트 36/36, sell_climax holdings_intel 정합 포함), **미배포**. 배포 전: ① 전용 KIS 앱키 발급·주입(박재오 진행 중) ② 첫 운영 KIS 필드 검증(stck_hgpr 등). BE가 `node_monitor.WORKER_REGISTRY`에 등재 완료 → 배포 시 `/api/agent-office/nodes`·web-ui `/infra`에 trader 노드 자동 노출(미배포 동안 down, 무경보).
+
+### 시작 (NAS, WSL2 Docker)
+
+```bash
+cd services
+docker compose up -d trade-monitor
+```
+
+---
+
 ## 환경 변수 (ai_trade)

 | 변수 | 기본 | 설명 |
@@ -168,6 +223,7 @@ cd services/insta-render && python -m pytest tests/ -q
 cd services/music-render && python -m pytest tests/ -q
 cd services/video-render && python -m pytest tests/ -q
 cd services/image-render && python -m pytest tests/ -q
+cd services/trade-monitor && python -m pytest tests/ -q   # 36 tests
 ```

 **`.venv` 한글 사용자 경로 깨짐**으로 시스템 Python(`C:\Users\jaeoh\AppData\Local\Programs\Python\Python312\python.exe`) 사용 권장. 또는 `py -3.12 -m pytest …`.
@@ -183,6 +239,8 @@ cd services/image-render && python -m pytest tests/ -q
 5. **services worker_id** — env로 명시 권장. hostname 기반 default는 컨테이너 재기동 시 바뀌어 orphan 분실 위험.
 6. **dead-letter 누적** — `redis-cli LLEN dead_letter:*` 정기 점검 필요.
 7. **Dockerfile build context** — `services/` 루트 (각 worker 디렉토리 아님). compose 변경 동반.
+8. **분산 워커 /infra 관측 필수 (팀 규칙)** — 모든 WSL docker 워커는 heartbeat(`worker:<name>:heartbeat` EX45) + BE `node_monitor.WORKER_REGISTRY` 등재 + `/infra` 노출이 필수. trade-monitor는 kind=trader로 등재됨.
+9. **trade-monitor KIS 앱키 분리** — ai_trade와 **다른 전용 app_key**(`TM_KIS_*`) 사용. 같은 app_key 공유 시 토큰 상호 무효화 + EGW00201. 실전 최대 89앱 발급 가능.

 ---

--- a/services/docker-compose.yml
+++ b/services/docker-compose.yml
@@ -82,7 +82,8 @@ services:

  task-watcher:
    build:
-      context: ./task-watcher
+      context: .
+      dockerfile: task-watcher/Dockerfile
    container_name: task-watcher
    restart: unless-stopped
    ports:
@@ -126,3 +127,28 @@ services:
      interval: 60s
      timeout: 5s
      retries: 3
+
+  trade-monitor:
+    build:
+      context: .
+      dockerfile: trade-monitor/Dockerfile
+    container_name: trade-monitor
+    restart: unless-stopped
+    ports:
+      - "18715:8000"
+    environment:
+      - TZ=Asia/Seoul
+      - REDIS_URL=${REDIS_URL:-redis://192.168.45.54:6379}
+      - NAS_BASE_URL=${NAS_BASE_URL:-http://192.168.45.54:18500}
+      - WEBAI_API_KEY=${WEBAI_API_KEY:-}
+      - TM_KIS_APP_KEY=${TM_KIS_APP_KEY:-}
+      - TM_KIS_APP_SECRET=${TM_KIS_APP_SECRET:-}
+      - TM_KIS_ACCOUNT=${TM_KIS_ACCOUNT:-}
+      - TM_KIS_IS_VIRTUAL=${TM_KIS_IS_VIRTUAL:-0}
+      - TM_LOOP_INTERVAL=${TM_LOOP_INTERVAL:-60}
+      - TM_CLIMAX_VOL_MULT=${TM_CLIMAX_VOL_MULT:-3.0}
+    healthcheck:
+      test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')"]
+      interval: 60s
+      timeout: 5s
+      retries: 3
--- a/services/task-watcher/Dockerfile
+++ b/services/task-watcher/Dockerfile
@@ -7,10 +7,13 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
    ca-certificates tzdata \
 && rm -rf /var/lib/apt/lists/*

-COPY requirements.txt .
+COPY task-watcher/requirements.txt /app/
 RUN pip install --no-cache-dir --timeout 600 --retries 5 -r requirements.txt

-COPY . .
+# 공통 heartbeat 모듈 (services/_shared) — watcher.py가 from _shared.heartbeat import
+COPY _shared /app/_shared
+COPY task-watcher/. /app/
+ENV PYTHONPATH=/app

 EXPOSE 8000
 CMD ["python", "-m", "uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "1"]
--- a/services/trade-monitor/.env.example
+++ b/services/trade-monitor/.env.example
@@ -0,0 +1,18 @@
+# Plan-realtime-trade-alerts — trade-monitor
+
+# NAS Redis (heartbeat)
+REDIS_URL=redis://192.168.45.54:6379
+
+# NAS stock 백엔드 (monitor-set / report)
+NAS_BASE_URL=http://192.168.45.54:18500
+WEBAI_API_KEY=
+
+# KIS 자체 토큰 (ai_trade와 분리된 전용 app_key)
+TM_KIS_APP_KEY=
+TM_KIS_APP_SECRET=
+TM_KIS_ACCOUNT=
+TM_KIS_IS_VIRTUAL=0
+
+# 루프 주기(초) / sell_climax 거래량 배수 임계
+TM_LOOP_INTERVAL=60
+TM_CLIMAX_VOL_MULT=3.0
--- a/services/trade-monitor/DESIGN.md
+++ b/services/trade-monitor/DESIGN.md
@@ -0,0 +1,166 @@
+# trade-monitor 워커 — 구현 설계
+
+> **2026-07-03 · web-ai 소유.** 실시간 매매 알람 파이프라인의 Windows-side 워커.
+> **권위 계약(원본 스펙)**: web-backend repo `docs/superpowers/specs/2026-07-02-realtime-trade-alerts-design.md` §5(계약)·§6(조건).
+> 이 문서는 그 계약을 Windows Docker 워커로 구현하기 위한 **구현 설계**(모듈 분해·조건 해석·배포)만 다룬다.
+
+---
+
+## 1. 역할 · 경계
+
+`services/trade-monitor/` 는 형제 워커(`image-render`, `task-watcher`)와 동일한 관례를 따르는 **FastAPI + asyncio 루프** 워커다. WSL2 Docker(`services/docker-compose.yml`)에서 구동.
+
+**책임**
+1. 60초 루프로 NAS `monitor-set` 조회 → 세션 게이트.
+2. 비-KRX(알파벳) 티커 skip.
+3. KIS 실시간 현재가 + 일봉 OHLCV 조회 → TA 지표 계산.
+4. 매수/매도 조건 평가 → 발화집합 F 구성.
+5. `POST report`로 F 전체 전송(무상태 — dedup은 NAS 영속).
+6. Redis heartbeat 발신(`worker:trade-monitor:heartbeat` EX45).
+7. KIS 오류는 사이클/종목 단위 격리(다음 분 재시도).
+
+**경계 밖(안 함)**: dedup 상태 보관, 텔레그램 전송(NAS 담당), KST 세션/휴장 캘린더 재구현(NAS가 `session` 판정), 주문 실행.
+
+---
+
+## 2. 모듈 분해
+
+| 파일 | 책임 | 인터페이스(순수/부작용) |
+|------|------|------|
+| `main.py` | FastAPI app + lifespan. `monitor_loop` + `heartbeat_loop` 스폰, `/health` | 부작용(태스크 스폰) |
+| `monitor.py` | 오케스트레이션 루프. monitor-set→게이트→종목순회→firing→report. 공유 `MonitorState` 갱신 | 부작용 |
+| `nas_client.py` | `get_monitor_set()` / `post_report(as_of, firing)` — `X-WebAI-Key` + retry | 부작용(HTTP) |
+| `kis_client.py` | KIS REST: `_issue_token()`(OAuth 자체 발급, 24h 캐시) + `get_quote()` + `get_daily_ohlcv()` + 0.5s throttle | 부작용(HTTP) |
+| `indicators.py` | `sma`, `rsi`, `avg_volume`, `highest_high` | **순수** |
+| `conditions.py` | `evaluate_buy(ctx, buy_params)` / `evaluate_sell(ctx, exit_params)` → `list[firing]` | **순수** |
+| `config.py` | `Settings` — env 로드 | 순수 |
+
+순수 모듈(`indicators`, `conditions`)에 조건 로직을 격리해 테이블 기반 단위 테스트로 검증 가능하게 한다. HTTP·시간·Redis는 경계 모듈에만.
+
+---
+
+## 3. 데이터 흐름 (monitor_loop, 60초)
+
+```
+매 사이클:
+  ms = nas.get_monitor_set()                      # §5.1
+  state.session = ms.session
+  if ms.session == "closed":
+      state.hb = "market_closed"; sleep; continue  # KIS 호출 0
+  targets = filter_krx(ms.buy_targets, ms.sell_targets)  # 알파벳 티커 skip
+  firing = []
+  for t in targets:                                # 종목 단위 try/except 격리
+      quote = kis.get_quote(t.ticker)              # 현재가 + 당일 누적 거래량
+      daily = kis.get_daily_ohlcv(t.ticker, 250)   # MA200·52주 고점용
+      ctx = build_ctx(t, quote, daily)
+      if t is buy_target:  firing += evaluate_buy(ctx, ms.buy_params)
+      if t is sell_target: firing += evaluate_sell(ctx, ms.exit_params)
+  if firing: state.last_alert_at = now
+  nas.post_report(as_of=now_kst_iso, firing=firing)  # §5.2 — 빈 배열도 전송(edge clear 위해)
+  state.hb = "market_open"
+  stats.jobs_done += 1
+```
+
+`heartbeat_loop`(별도 15초 태스크)이 `state`를 읽어 §5.4 페이로드 발신.
+
+---
+
+## 4. 조건 로직 해석 (§6)
+
+지표는 **일봉 시계열**(최신 last, 오름차순) + **실시간 현재가**(`price`) 기준. 데이터 부족(예: MA200용 200봉 미만)이면 해당 조건은 **미발화**(graceful skip). 각 firing은 `{ticker, kind, condition, price, detail}`.
+
+### 매수 (`buy_targets`, `buy_params={rsi_oversold, breakout_vol_mult, pullback_pct}`)
+
+| condition | 발화 규칙(해석) | detail |
+|-----------|----------------|--------|
+| `buy_ma20_pullback` | `ma20>ma50>ma200`(정배열) **AND** 최근 3봉 최저가가 `ma20*(1+pullback_pct)` 이하로 접근 **AND** `price>ma20`(반등 복귀) | `ma20, ma50, ma200, recent_low` |
+| `buy_breakout` | `price > 직전 20봉 최고가`(당일 제외) **AND** `today_volume > breakout_vol_mult × avg_volume(20)` | `prior_high_20, vol_mult, avg_vol_20` |
+| `buy_rsi_bounce` | RSI(14) 시계열에서 `min(rsi[-3:]) < rsi_oversold` **AND** `rsi[-1] > rsi_oversold` **AND** `rsi[-1] > rsi[-2]`(반등). 사이클마다 재계산·무상태 | `rsi, rsi_prev, rsi_oversold` |
+
+종합: 각 조건 독립 발화(신뢰도 가중합은 NAS/텔레그램 단계 책임 아님 — 워커는 조건 발화만).
+
+### 매도 (`sell_targets`, `exit_params={stop_pct, take_pct, trailing_pct}`, target에 `avg_price, qty, holding_high`)
+
+| condition | 발화 규칙 | detail |
+|-----------|----------|--------|
+| `sell_stop_loss` | `(price-avg)/avg ≤ -stop_pct` | `avg_price, pnl_pct, stop_pct` |
+| `sell_take_profit` | `(price-avg)/avg ≥ take_pct` | `avg_price, pnl_pct, take_pct` |
+| `sell_trailing_stop` | `price ≤ holding_high × (1-trailing_pct)` (기본 0.10) | `holding_high, trailing_pct, drawdown_pct` |
+| `sell_ma_break` | `price < ma50` (추가 `price<ma200`이면 detail.severity="high") | `ma50, ma200, severity` |
+| `sell_climax` | **holdings_intel 정합**: `today_volume ≥ climax_vol_x × avg_volume(20)` **AND** `price < day_high × climax_close_pct`(윗꼬리) | `vol_mult, day_high, climax_close_pct` |
+
+`climax_vol_x`(기본 3.0)·`climax_close_pct`(기본 0.97)는 monitor-set `exit_params`에서 읽음(BE 중앙화, main ed17193). 없으면 env `TM_CLIMAX_VOL_MULT` fallback. `day_high`는 KIS quote `stck_hgpr`(당일 세션 누적 고가).
+
+---
+
+## 5. KIS 클라이언트 (자체 토큰)
+
+- `_issue_token()`: `POST {base}/oauth2/tokenP {grant_type, appkey, appsecret}` → `access_token`(만료 24h). 메모리 캐시, 만료 10분 전 재발급. **ai_trade와 분리된 `TM_KIS_APP_KEY/SECRET`** 사용(같은 app_key 공유 시 토큰 상호 무효화 + EGW00201).
+- `get_quote(ticker)`: `inquire-price`(FHKST01010100) → `stck_prpr`(현재가), `acml_vol`(당일 누적 거래량), `stck_oprc`(당일 시가).
+- `get_daily_ohlcv(ticker, days=250)`: `inquire-daily-itemchartprice`(FHKST03010100) — ai_trade `kis_client.py` 로직 복제, 오름차순.
+- throttle 0.5s(초당 2회) + `_throttle_lock` 직렬화 + 429/timeout 지수 backoff(ai_trade 패턴 재사용).
+
+> ⚠️ **운영 함정**: ai_trade와 KIS를 동시 호출하면 전용 app_key라도 KIS 계정 전체 rate limit을 공유할 수 있음. 별도 app_key로 무효화는 회피되나, 운영 시 동시 부하 모니터링 필요(Phase 7 백로그 연계).
+
+---
+
+## 6. heartbeat (§5.4)
+
+`_shared.heartbeat.heartbeat_loop(redis, "trade-monitor", "trader", stats, interval=15, ttl=45, state_fn=...)`.
+- `state_fn`이 `MonitorState`를 읽어 `state ∈ {market_open, market_closed, idle}` + `extra={"last_alert_at": ...}` 반환.
+- **디커플링 이유**: 루프 60초 > TTL 45초 → 인라인 발신 시 만료 갭. 15초 독립 태스크로 해소(형제 워커와 동일 구조). §5.4 필수 필드(name/kind/state/ts/last_alert_at) 충족, `jobs_done/jobs_failed`는 형제 워커처럼 superset 유지.
+- 초기 상태 `idle`(첫 monitor-set 조회 전).
+
+---
+
+## 7. 설정 (env) — `TM_` 접두사로 ai_trade와 분리
+
+| env | 기본값 | 용도 |
+|-----|--------|------|
+| `NAS_BASE_URL` | `http://192.168.45.54:18500` | stock 백엔드 |
+| `WEBAI_API_KEY` | (필수) | `X-WebAI-Key` |
+| `REDIS_URL` | `redis://192.168.45.54:6379` | heartbeat |
+| `TM_KIS_APP_KEY` / `TM_KIS_APP_SECRET` | (필수) | KIS 자체 토큰 |
+| `TM_KIS_ACCOUNT` | (필수) | KIS 계좌 |
+| `TM_KIS_IS_VIRTUAL` | `0` | 실전/모의 |
+| `TM_LOOP_INTERVAL` | `60` | 루프 주기(초) |
+| `TM_CLIMAX_VOL_MULT` | `3.0` | sell_climax 임계 |
+
+---
+
+## 8. 에러 처리
+
+- **monitor-set 실패**: 사이클 skip(report 안 함), heartbeat=`idle`, 다음 분 재시도.
+- **KIS 종목 실패**: 해당 종목만 skip(로그 warning), 나머지 종목 계속.
+- **report 실패**: 로그 error, 다음 사이클 신선 firing 재전송(무상태라 손실 허용).
+- 루프 최상위 `try/except` — 어떤 예외도 루프를 죽이지 않음(task-watcher 패턴).
+
+---
+
+## 9. 테스트 전략 (pytest, 시스템 Python)
+
+| 파일 | 검증 |
+|------|------|
+| `test_indicators.py` | sma/rsi/avg_volume/highest_high 수치(알려진 시계열), 데이터 부족 시 None |
+| `test_conditions.py` | 8개 조건 테이블 기반(발화/미발화 경계), detail 필드 |
+| `test_nas_client.py` | respx — monitor-set 파싱, report 페이로드, X-WebAI-Key 헤더, retry |
+| `test_kis_client.py` | respx — 토큰 발급/캐시, quote/daily 파싱, throttle |
+| `test_monitor.py` | 루프 1회(mock): closed skip, 비-KRX skip, firing 조립, last_alert_at 갱신, 종목 실패 격리 |
+
+---
+
+## 10. 배포
+
+- `services/trade-monitor/Dockerfile`: task-watcher 관례 복제 — `COPY _shared /app/_shared` **필수**(빌드 컨텍스트 `.` 에서), `COPY trade-monitor/. /app/`, `PYTHONPATH=/app`, uvicorn `:8000`.
+- `services/docker-compose.yml`: `trade-monitor` 서비스 추가, 포트 **18715**(image-render 18714 다음), `TZ=Asia/Seoul`, KIS/WEBAI/REDIS env, healthcheck `/health`.
+- `services/.env`(비커밋): `TM_KIS_*`, `WEBAI_API_KEY` 실값. `.env.example`에 키만 기재.
+
+---
+
+## 11. 미해결 플래그 / 후속
+
+1. **sell_climax** — ✅ 2026-07-03 holdings_intel 정합 완료(`price < day_high × climax_close_pct` + `exit_params` 파라미터화). BE 회신 기준.
+2. **KIS 지표 필드 실검증** — quote의 `acml_vol`/`stck_oprc`, daily TR 응답 필드는 첫 운영 raw 캡처로 대조.
+3. **`buy_ma20_pullback`·`buy_rsi_bounce` 해석** — "current candle series" 문구를 일봉 시계열로 해석. 첫 운영 4주 IC 검증 시 재조정 가능.
+4. **KIS rate limit 공존** — ai_trade와 동시 부하. 전용 app_key로 토큰 무효화는 회피, 초당 호출 총량은 운영 모니터링.
+5. **after 세션 시간외 시세** — `inquire-price`가 시간외 단일가를 반영하는지 첫 운영 대조.
--- a/services/trade-monitor/Dockerfile
+++ b/services/trade-monitor/Dockerfile
@@ -0,0 +1,19 @@
+FROM python:3.12-slim-bookworm
+ENV PYTHONUNBUFFERED=1
+
+WORKDIR /app
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    ca-certificates tzdata \
+ && rm -rf /var/lib/apt/lists/*
+
+COPY trade-monitor/requirements.txt /app/
+RUN pip install --no-cache-dir --timeout 600 --retries 5 -r requirements.txt
+
+# 공통 heartbeat 모듈 (services/_shared) — main.py가 from _shared.heartbeat import
+COPY _shared /app/_shared
+COPY trade-monitor/. /app/
+ENV PYTHONPATH=/app
+
+EXPOSE 8000
+CMD ["python", "-m", "uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "1"]
--- a/services/trade-monitor/PLAN.md
+++ b/services/trade-monitor/PLAN.md
--- a/services/trade-monitor/conditions.py
+++ b/services/trade-monitor/conditions.py
@@ -0,0 +1,99 @@
+"""§6 조건 로직 (순수). ctx + params → firing 리스트."""
+from __future__ import annotations
+
+from indicators import sma, rsi_series, highest_high
+
+
+def _fire(ctx: dict, kind: str, condition: str, price: float, detail: dict) -> dict:
+    return {
+        "ticker": ctx["ticker"], "kind": kind,
+        "condition": condition, "price": price, "detail": detail,
+    }
+
+
+def evaluate_buy(ctx: dict, params: dict) -> list[dict]:
+    price = ctx["price"]
+    closes, highs, lows, vols = ctx["closes"], ctx["highs"], ctx["lows"], ctx["volumes"]
+    rsi_os = params.get("rsi_oversold", 30)
+    vol_mult = params.get("breakout_vol_mult", 1.5)
+    pullback = params.get("pullback_pct", 0.02)
+    firing: list[dict] = []
+
+    # buy_ma20_pullback — 정배열 + ma20 근접 저가 + 반등 복귀
+    ma20, ma50, ma200 = sma(closes, 20), sma(closes, 50), sma(closes, 200)
+    if ma20 and ma50 and ma200 and ma20 > ma50 > ma200 and len(lows) >= 3:
+        recent_low = min(lows[-3:])
+        if recent_low <= ma20 * (1 + pullback) and price > ma20:
+            firing.append(_fire(ctx, "buy", "buy_ma20_pullback", price, {
+                "ma20": round(ma20, 1), "ma50": round(ma50, 1),
+                "ma200": round(ma200, 1), "recent_low": recent_low,
+            }))
+
+    # buy_breakout — 직전 20봉 고점 돌파 + 거래량 배수
+    prior_high20 = highest_high(highs, 20)
+    avg_vol20 = sma(vols, 20)
+    if prior_high20 and avg_vol20 and price > prior_high20 \
+            and ctx["today_volume"] > vol_mult * avg_vol20:
+        firing.append(_fire(ctx, "buy", "buy_breakout", price, {
+            "prior_high_20": prior_high20,
+            "vol_mult": round(ctx["today_volume"] / avg_vol20, 2),
+            "avg_vol_20": round(avg_vol20, 0),
+        }))
+
+    # buy_rsi_bounce — RSI 과매도 후 반등 (무상태 재계산)
+    rs = rsi_series(closes, 14)
+    if len(rs) >= 3 and min(rs[-3:]) < rsi_os and rs[-1] > rsi_os and rs[-1] > rs[-2]:
+        firing.append(_fire(ctx, "buy", "buy_rsi_bounce", price, {
+            "rsi": round(rs[-1], 1), "rsi_prev": round(rs[-2], 1),
+            "rsi_oversold": rsi_os,
+        }))
+
+    return firing
+
+
+def evaluate_sell(ctx: dict, params: dict) -> list[dict]:
+    price = ctx["price"]
+    avg = ctx.get("avg_price")
+    hh = ctx.get("holding_high")
+    closes, vols = ctx["closes"], ctx["volumes"]
+    stop = params.get("stop_pct", 0.08)
+    take = params.get("take_pct", 0.25)
+    trail = params.get("trailing_pct", 0.10)
+    firing: list[dict] = []
+
+    if avg:
+        pnl = (price - avg) / avg
+        if pnl <= -stop:
+            firing.append(_fire(ctx, "sell", "sell_stop_loss", price, {
+                "avg_price": avg, "pnl_pct": round(pnl, 4), "stop_pct": stop}))
+        if pnl >= take:
+            firing.append(_fire(ctx, "sell", "sell_take_profit", price, {
+                "avg_price": avg, "pnl_pct": round(pnl, 4), "take_pct": take}))
+
+    if hh and price <= hh * (1 - trail):
+        firing.append(_fire(ctx, "sell", "sell_trailing_stop", price, {
+            "holding_high": hh, "trailing_pct": trail,
+            "drawdown_pct": round((price - hh) / hh, 4)}))
+
+    ma50, ma200 = sma(closes, 50), sma(closes, 200)
+    if ma50 and price < ma50:
+        severity = "high" if (ma200 and price < ma200) else "normal"
+        firing.append(_fire(ctx, "sell", "sell_ma_break", price, {
+            "ma50": round(ma50, 1),
+            "ma200": round(ma200, 1) if ma200 else None,
+            "severity": severity}))
+
+    # sell_climax — holdings_intel 정합(stock/app/holdings_intel.py:109-118):
+    #   거래량 ≥ 20일평균 × climax_vol_x  AND  종가 < 당일고가 × climax_close_pct (윗꼬리)
+    #   실시간이므로 day_high = 당일 세션 누적 고가(최신 1분봉 고가 아님).
+    climax_vol_x = params.get("climax_vol_x", ctx.get("climax_vol_mult", 3.0))
+    climax_close_pct = params.get("climax_close_pct", 0.97)
+    avg_vol20 = sma(vols, 20)
+    day_high = ctx.get("day_high")
+    if avg_vol20 and day_high and ctx["today_volume"] >= climax_vol_x * avg_vol20 \
+            and price < day_high * climax_close_pct:
+        firing.append(_fire(ctx, "sell", "sell_climax", price, {
+            "vol_mult": round(ctx["today_volume"] / avg_vol20, 2),
+            "day_high": day_high, "climax_close_pct": climax_close_pct}))
+
+    return firing
--- a/services/trade-monitor/config.py
+++ b/services/trade-monitor/config.py
@@ -0,0 +1,32 @@
+"""Settings — 환경변수 로드. TM_ 접두사로 ai_trade와 분리."""
+from __future__ import annotations
+
+import os
+from dataclasses import dataclass
+
+
+@dataclass
+class Settings:
+    nas_base_url: str
+    webai_api_key: str
+    redis_url: str
+    kis_app_key: str
+    kis_app_secret: str
+    kis_account: str
+    kis_is_virtual: bool
+    loop_interval: int
+    climax_vol_mult: float
+
+
+def load_settings() -> Settings:
+    return Settings(
+        nas_base_url=os.getenv("NAS_BASE_URL", "http://192.168.45.54:18500"),
+        webai_api_key=os.getenv("WEBAI_API_KEY", ""),
+        redis_url=os.getenv("REDIS_URL", "redis://192.168.45.54:6379"),
+        kis_app_key=os.getenv("TM_KIS_APP_KEY", ""),
+        kis_app_secret=os.getenv("TM_KIS_APP_SECRET", ""),
+        kis_account=os.getenv("TM_KIS_ACCOUNT", ""),
+        kis_is_virtual=os.getenv("TM_KIS_IS_VIRTUAL", "0") == "1",
+        loop_interval=int(os.getenv("TM_LOOP_INTERVAL", "60")),
+        climax_vol_mult=float(os.getenv("TM_CLIMAX_VOL_MULT", "3.0")),
+    )
--- a/services/trade-monitor/conftest.py
+++ b/services/trade-monitor/conftest.py
@@ -0,0 +1,5 @@
+"""services/ 루트를 sys.path에 추가 — from _shared.heartbeat import 가능하게."""
+import sys
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
--- a/services/trade-monitor/indicators.py
+++ b/services/trade-monitor/indicators.py
@@ -0,0 +1,38 @@
+"""순수 TA 지표 — sma / rsi_series / highest_high."""
+from __future__ import annotations
+
+
+def sma(values: list[float], period: int) -> float | None:
+    if period <= 0 or len(values) < period:
+        return None
+    return sum(values[-period:]) / period
+
+
+def highest_high(highs: list[float], period: int) -> float | None:
+    if period <= 0 or len(highs) < period:
+        return None
+    return max(highs[-period:])
+
+
+def rsi_series(closes: list[float], period: int = 14) -> list[float]:
+    """Wilder RSI. 반환 리스트는 closes[period:]에 1:1 정렬. 부족하면 []."""
+    if len(closes) <= period:
+        return []
+    deltas = [closes[i] - closes[i - 1] for i in range(1, len(closes))]
+    gains = [d if d > 0 else 0.0 for d in deltas]
+    losses = [-d if d < 0 else 0.0 for d in deltas]
+
+    def _rsi(ag: float, al: float) -> float:
+        if al == 0:
+            return 100.0
+        rs = ag / al
+        return 100.0 - 100.0 / (1.0 + rs)
+
+    avg_gain = sum(gains[:period]) / period
+    avg_loss = sum(losses[:period]) / period
+    out = [_rsi(avg_gain, avg_loss)]
+    for i in range(period, len(deltas)):
+        avg_gain = (avg_gain * (period - 1) + gains[i]) / period
+        avg_loss = (avg_loss * (period - 1) + losses[i]) / period
+        out.append(_rsi(avg_gain, avg_loss))
+    return out
--- a/services/trade-monitor/kis_client.py
+++ b/services/trade-monitor/kis_client.py
@@ -0,0 +1,124 @@
+"""KIS REST client — 자체 OAuth 토큰(TM_KIS_*) + quote + 일봉 + throttle."""
+from __future__ import annotations
+
+import asyncio
+import logging
+import time
+from datetime import datetime, timedelta
+from zoneinfo import ZoneInfo
+
+import httpx
+
+logger = logging.getLogger(__name__)
+KST = ZoneInfo("Asia/Seoul")
+
+_MAX_ATTEMPTS = 3
+_THROTTLE_INTERVAL = 0.5  # 초당 2회
+_TOKEN_MARGIN = 600       # 만료 10분 전 재발급
+
+
+class KISClient:
+    def __init__(self, app_key, app_secret, account, is_virtual, timeout: float = 10.0):
+        self._app_key = app_key
+        self._app_secret = app_secret
+        self._account = account
+        self._base_url = (
+            "https://openapivts.koreainvestment.com:29443" if is_virtual
+            else "https://openapi.koreainvestment.com:9443"
+        )
+        self._client = httpx.AsyncClient(timeout=timeout)
+        self._token: str | None = None
+        self._token_exp: float = 0.0
+        self._last_throttle_at = 0.0
+        self._throttle_lock = asyncio.Lock()
+        self._token_lock = asyncio.Lock()
+
+    async def close(self) -> None:
+        await self._client.aclose()
+
+    async def _issue_token(self) -> str:
+        async with self._token_lock:
+            now = time.time()
+            if self._token and now < self._token_exp - _TOKEN_MARGIN:
+                return self._token
+            r = await self._client.post(
+                f"{self._base_url}/oauth2/tokenP",
+                json={"grant_type": "client_credentials",
+                      "appkey": self._app_key, "appsecret": self._app_secret},
+            )
+            r.raise_for_status()
+            data = r.json()
+            self._token = data["access_token"]
+            self._token_exp = now + int(data.get("expires_in", 86400))
+            return self._token
+
+    async def _throttle(self) -> None:
+        async with self._throttle_lock:
+            elapsed = time.monotonic() - self._last_throttle_at
+            if elapsed < _THROTTLE_INTERVAL:
+                await asyncio.sleep(_THROTTLE_INTERVAL - elapsed)
+            self._last_throttle_at = time.monotonic()
+
+    async def _request(self, method: str, path: str, tr_id: str, **kwargs) -> dict:
+        token = await self._issue_token()
+        headers = {
+            "authorization": f"Bearer {token}",
+            "appkey": self._app_key, "appsecret": self._app_secret,
+            "tr_id": tr_id, "custtype": "P",
+        }
+        url = f"{self._base_url}{path}"
+        for attempt in range(_MAX_ATTEMPTS):
+            await self._throttle()
+            try:
+                resp = await self._client.request(method, url, headers=headers, **kwargs)
+                if resp.status_code == 429 and attempt < _MAX_ATTEMPTS - 1:
+                    await asyncio.sleep(2 ** attempt)
+                    continue
+                resp.raise_for_status()
+                return resp.json()
+            except httpx.TimeoutException:
+                if attempt < _MAX_ATTEMPTS - 1:
+                    await asyncio.sleep(2 ** attempt)
+                    continue
+                raise
+        raise RuntimeError("retry exhausted")
+
+    async def get_quote(self, ticker: str) -> dict:
+        raw = await self._request(
+            "GET", "/uapi/domestic-stock/v1/quotations/inquire-price",
+            tr_id="FHKST01010100",
+            params={"FID_COND_MRKT_DIV_CODE": "J", "FID_INPUT_ISCD": ticker},
+        )
+        o = raw.get("output", {})
+        return {
+            "price": int(o["stck_prpr"]),
+            "day_open": int(o["stck_oprc"]),
+            "day_high": int(o["stck_hgpr"]),
+            "today_volume": int(o["acml_vol"]),
+            "as_of": datetime.now(KST).isoformat(),
+        }
+
+    async def get_daily_ohlcv(self, ticker: str, days: int = 250) -> list[dict]:
+        today = datetime.now(KST).strftime("%Y%m%d")
+        start = (datetime.now(KST) - timedelta(days=days * 2)).strftime("%Y%m%d")
+        raw = await self._request(
+            "GET", "/uapi/domestic-stock/v1/quotations/inquire-daily-itemchartprice",
+            tr_id="FHKST03010100",
+            params={"FID_COND_MRKT_DIV_CODE": "J", "FID_INPUT_ISCD": ticker,
+                    "FID_INPUT_DATE_1": start, "FID_INPUT_DATE_2": today,
+                    "FID_PERIOD_DIV_CODE": "D", "FID_ORG_ADJ_PRC": "1"},
+        )
+        bars = []
+        for row in raw.get("output2", []):
+            try:
+                d = row["stck_bsop_date"]
+                bars.append({
+                    "datetime": f"{d[:4]}-{d[4:6]}-{d[6:]}",
+                    "open": int(row["stck_oprc"]), "high": int(row["stck_hgpr"]),
+                    "low": int(row["stck_lwpr"]), "close": int(row["stck_clpr"]),
+                    "volume": int(row["acml_vol"]),
+                })
+            except (KeyError, ValueError):
+                continue
+        bars.reverse()
+        return bars[-days:]
--- a/services/trade-monitor/main.py
+++ b/services/trade-monitor/main.py
@@ -0,0 +1,62 @@
+"""trade-monitor FastAPI entry — lifespan(monitor_loop + heartbeat_loop) + /health."""
+from __future__ import annotations
+
+import asyncio
+import logging
+from contextlib import asynccontextmanager
+
+import redis.asyncio as aioredis
+from fastapi import FastAPI
+
+import monitor
+from config import load_settings
+from kis_client import KISClient
+from nas_client import NASClient
+from _shared.heartbeat import heartbeat_loop, WorkerStats
+
+logging.basicConfig(level=logging.INFO,
+                    format="%(asctime)s %(name)s %(levelname)s %(message)s")
+logger = logging.getLogger(__name__)
+
+HEARTBEAT_INTERVAL = 15   # 60초 루프 > TTL 45초 → 독립 15초 발신으로 만료갭 해소
+HEARTBEAT_TTL = 45
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    settings = load_settings()
+    nas = NASClient(settings.nas_base_url, settings.webai_api_key)
+    kis = KISClient(settings.kis_app_key, settings.kis_app_secret,
+                    settings.kis_account, settings.kis_is_virtual)
+    state = monitor.MonitorState()
+    stats = WorkerStats()
+    redis = aioredis.from_url(settings.redis_url, decode_responses=False)
+
+    mon_task = asyncio.create_task(
+        monitor.monitor_loop(nas, kis, state, stats, settings))
+    hb_task = asyncio.create_task(heartbeat_loop(
+        redis, "trade-monitor", "trader", stats,
+        interval=HEARTBEAT_INTERVAL, ttl=HEARTBEAT_TTL,
+        state_fn=monitor.make_state_fn(state)))
+    logger.info("trade-monitor lifespan 시작")
+    try:
+        yield
+    finally:
+        for t in (mon_task, hb_task):
+            t.cancel()
+            try:
+                await t
+            except asyncio.CancelledError:
+                pass
+        await kis.close()
+        await nas.close()
+        await redis.aclose()
+        logger.info("trade-monitor lifespan 종료")
+
+
+app = FastAPI(lifespan=lifespan)
+
+
+@app.get("/health")
+def health():
+    return {"ok": True, "service": "trade-monitor"}
--- a/services/trade-monitor/monitor.py
+++ b/services/trade-monitor/monitor.py
@@ -0,0 +1,114 @@
+"""오케스트레이션 — monitor-set 조회 → 조건 평가 → report + heartbeat state."""
+from __future__ import annotations
+
+import asyncio
+import logging
+from datetime import datetime
+from zoneinfo import ZoneInfo
+
+from conditions import evaluate_buy, evaluate_sell
+
+logger = logging.getLogger(__name__)
+KST = ZoneInfo("Asia/Seoul")
+
+
+class MonitorState:
+    """monitor_loop가 갱신, heartbeat state_fn이 읽는 공유 상태."""
+    def __init__(self):
+        self.session_state = "idle"          # market_open | market_closed | idle
+        self.last_alert_at: str | None = None
+
+
+def filter_krx(targets: list[dict]) -> list[dict]:
+    """6자리 숫자 티커(KRX)만. 알파벳 티커 skip."""
+    out = []
+    for t in targets:
+        tk = str(t.get("ticker", ""))
+        if tk.isdigit() and len(tk) == 6:
+            out.append(t)
+    return out
+
+
+async def _build_ctx(kis, target: dict, settings) -> dict:
+    ticker = target["ticker"]
+    quote = await kis.get_quote(ticker)
+    daily = await kis.get_daily_ohlcv(ticker, 250)
+    return {
+        "ticker": ticker, "name": target.get("name", ""),
+        "price": quote["price"], "day_open": quote["day_open"],
+        "day_high": quote["day_high"],
+        "today_volume": quote["today_volume"],
+        "closes": [b["close"] for b in daily],
+        "highs": [b["high"] for b in daily],
+        "lows": [b["low"] for b in daily],
+        "volumes": [b["volume"] for b in daily],
+        "avg_price": target.get("avg_price"),
+        "qty": target.get("qty"),
+        "holding_high": target.get("holding_high"),
+        "climax_vol_mult": settings.climax_vol_mult,
+    }
+
+
+async def run_cycle(nas, kis, state, stats, settings) -> None:
+    try:
+        ms = await nas.get_monitor_set()
+    except Exception:
+        logger.exception("monitor-set 조회 실패")
+        state.session_state = "idle"
+        stats.jobs_failed += 1
+        return
+
+    session = ms.get("session", "closed")
+    if session == "closed":
+        state.session_state = "market_closed"
+        return
+
+    buy_targets = filter_krx(ms.get("buy_targets", []))
+    sell_targets = filter_krx(ms.get("sell_targets", []))
+    buy_params = ms.get("buy_params", {})
+    exit_params = ms.get("exit_params", {})
+
+    firing: list[dict] = []
+    for t in buy_targets:
+        try:
+            firing += evaluate_buy(await _build_ctx(kis, t, settings), buy_params)
+        except Exception:
+            logger.exception("buy 평가 실패 %s", t.get("ticker"))
+    for t in sell_targets:
+        try:
+            firing += evaluate_sell(await _build_ctx(kis, t, settings), exit_params)
+        except Exception:
+            logger.exception("sell 평가 실패 %s", t.get("ticker"))
+
+    as_of = datetime.now(KST).isoformat(timespec="seconds")
+    if firing:
+        state.last_alert_at = as_of
+        logger.info("firing %d개: %s", len(firing),
+                    [f"{f['ticker']}:{f['condition']}" for f in firing])
+    try:
+        await nas.post_report(as_of, firing)   # 빈 배열도 전송(edge clear)
+    except Exception:
+        logger.exception("report 전송 실패")
+
+    state.session_state = "market_open"
+    stats.jobs_done += 1
+    stats.last_job_at = as_of
+
+
+async def monitor_loop(nas, kis, state, stats, settings) -> None:
+    logger.info("trade-monitor loop 시작 interval=%ds", settings.loop_interval)
+    while True:
+        try:
+            await run_cycle(nas, kis, state, stats, settings)
+        except asyncio.CancelledError:
+            logger.info("monitor_loop cancelled")
+            raise
+        except Exception:
+            logger.exception("monitor_loop iteration 실패")
+        await asyncio.sleep(settings.loop_interval)
+
+
+def make_state_fn(state):
+    async def state_fn(redis, stats):
+        return state.session_state, {"last_alert_at": state.last_alert_at}
+    return state_fn
--- a/services/trade-monitor/nas_client.py
+++ b/services/trade-monitor/nas_client.py
@@ -0,0 +1,48 @@
+"""NAS stock 백엔드 trade-alert 계약 — X-WebAI-Key + retry."""
+from __future__ import annotations
+
+import asyncio
+import logging
+
+import httpx
+
+logger = logging.getLogger(__name__)
+
+_MAX_ATTEMPTS = 3
+_RETRY_STATUSES = {429, 500, 502, 503, 504}
+
+
+class NASClient:
+    def __init__(self, base_url: str, api_key: str, timeout: float = 10.0):
+        self._base_url = base_url.rstrip("/")
+        self._api_key = api_key
+        self._client = httpx.AsyncClient(timeout=timeout)
+
+    async def close(self) -> None:
+        await self._client.aclose()
+
+    async def get_monitor_set(self) -> dict:
+        return await self._request("GET", "/api/webai/trade-alert/monitor-set")
+
+    async def post_report(self, as_of: str, firing: list[dict]) -> dict:
+        return await self._request(
+            "POST", "/api/webai/trade-alert/report",
+            json={"as_of": as_of, "firing": firing})
+
+    async def _request(self, method: str, path: str, **kwargs) -> dict:
+        url = f"{self._base_url}{path}"
+        headers = {"X-WebAI-Key": self._api_key}
+        for attempt in range(_MAX_ATTEMPTS):
+            try:
+                resp = await self._client.request(method, url, headers=headers, **kwargs)
+                if resp.status_code in _RETRY_STATUSES and attempt < _MAX_ATTEMPTS - 1:
+                    await asyncio.sleep(2 ** attempt)
+                    continue
+                resp.raise_for_status()
+                return resp.json()
+            except httpx.TimeoutException:
+                if attempt < _MAX_ATTEMPTS - 1:
+                    await asyncio.sleep(2 ** attempt)
+                    continue
+                raise
+        raise RuntimeError("retry exhausted")
--- a/services/trade-monitor/pytest.ini
+++ b/services/trade-monitor/pytest.ini
@@ -0,0 +1,2 @@
+[pytest]
+asyncio_mode = auto
--- a/services/trade-monitor/requirements.txt
+++ b/services/trade-monitor/requirements.txt
@@ -0,0 +1,7 @@
+fastapi==0.115.6
+uvicorn[standard]==0.34.0
+redis>=5.0
+httpx>=0.27
+pytest>=8.0
+pytest-asyncio>=0.24
+respx>=0.21
--- a/services/trade-monitor/tests/init.py
+++ b/services/trade-monitor/tests/init.py
--- a/services/trade-monitor/tests/test_conditions_buy.py
+++ b/services/trade-monitor/tests/test_conditions_buy.py
@@ -0,0 +1,66 @@
+"""evaluate_buy — 3개 매수 조건 경계."""
+from conditions import evaluate_buy
+
+BUY_PARAMS = {"rsi_oversold": 30, "breakout_vol_mult": 1.5, "pullback_pct": 0.02}
+
+
+def _ctx(**over):
+    base = dict(
+        ticker="005930", name="삼성전자", price=100.0, day_open=99.0,
+        today_volume=1000.0, closes=[], highs=[], lows=[], volumes=[],
+        avg_price=None, qty=None, holding_high=None, climax_vol_mult=3.0,
+    )
+    base.update(over)
+    return base
+
+
+def _conditions(firing):
+    return {f["condition"] for f in firing}
+
+
+def test_ma20_pullback_fires():
+    # 정배열(ma20>ma50>ma200), 최근 저가가 ma20 근처, price가 ma20 위로 반등
+    closes = [90.0] * 200 + [100.0] * 20   # ma20=100, ma50/ma200 낮음 → 정배열
+    lows = [90.0] * 217 + [100.5, 100.4, 100.3]  # 최근 3봉 저가 ~ma20*(1.02)=102 이하
+    ctx = _ctx(price=101.0, closes=closes, highs=closes, lows=lows,
+               volumes=[1.0] * len(closes))
+    assert "buy_ma20_pullback" in _conditions(evaluate_buy(ctx, BUY_PARAMS))
+
+
+def test_ma20_pullback_skips_when_not_aligned():
+    closes = [100.0] * 200 + [90.0] * 20   # 역배열
+    ctx = _ctx(price=91.0, closes=closes, highs=closes, lows=closes,
+               volumes=[1.0] * len(closes))
+    assert "buy_ma20_pullback" not in _conditions(evaluate_buy(ctx, BUY_PARAMS))
+
+
+def test_breakout_fires():
+    closes = [50.0] * 25
+    highs = [60.0] * 25           # 직전 20봉 최고 60
+    vols = [100.0] * 25           # avg20=100
+    ctx = _ctx(price=61.0, today_volume=200.0, closes=closes, highs=highs,
+               lows=closes, volumes=vols)   # 61>60, 200>1.5*100
+    assert "buy_breakout" in _conditions(evaluate_buy(ctx, BUY_PARAMS))
+
+
+def test_breakout_skips_on_low_volume():
+    highs = [60.0] * 25
+    ctx = _ctx(price=61.0, today_volume=120.0, closes=[50.0] * 25, highs=highs,
+               lows=[50.0] * 25, volumes=[100.0] * 25)  # 120 < 1.5*100=150
+    assert "buy_breakout" not in _conditions(evaluate_buy(ctx, BUY_PARAMS))
+
+
+def test_rsi_bounce_fires():
+    # 14봉 급락으로 RSI<30 찍고 5봉 반등하여 30 위로 복귀
+    closes = [100.0]
+    for _ in range(14):
+        closes.append(closes[-1] * 0.97)   # 하락 → RSI 저하
+    for _ in range(5):
+        closes.append(closes[-1] * 1.05)   # 반등 → RSI 30 위로
+    ctx = _ctx(price=closes[-1], closes=closes, highs=closes, lows=closes,
+               volumes=[1.0] * len(closes))
+    assert "buy_rsi_bounce" in _conditions(evaluate_buy(ctx, BUY_PARAMS))
+
+
+def test_empty_series_no_fire():
+    assert evaluate_buy(_ctx(), BUY_PARAMS) == []
--- a/services/trade-monitor/tests/test_conditions_sell.py
+++ b/services/trade-monitor/tests/test_conditions_sell.py
@@ -0,0 +1,89 @@
+"""evaluate_sell — 5개 매도 조건 경계."""
+from conditions import evaluate_sell
+
+EXIT = {"stop_pct": 0.08, "take_pct": 0.25, "trailing_pct": 0.10,
+        "climax_vol_x": 3.0, "climax_close_pct": 0.97}
+
+
+def _ctx(**over):
+    base = dict(
+        ticker="000660", name="SK하이닉스", price=100.0, day_open=100.0,
+        day_high=100.0, today_volume=100.0, closes=[100.0] * 60,
+        highs=[100.0] * 60, lows=[100.0] * 60, volumes=[100.0] * 60,
+        avg_price=100.0, qty=10, holding_high=100.0, climax_vol_mult=3.0,
+    )
+    base.update(over)
+    return base
+
+
+def _c(firing):
+    return {f["condition"] for f in firing}
+
+
+def test_stop_loss_fires():
+    ctx = _ctx(price=90.0, avg_price=100.0)   # -10% <= -8%
+    assert "sell_stop_loss" in _c(evaluate_sell(ctx, EXIT))
+
+
+def test_stop_loss_skips_above_threshold():
+    ctx = _ctx(price=95.0, avg_price=100.0)   # -5% > -8%
+    assert "sell_stop_loss" not in _c(evaluate_sell(ctx, EXIT))
+
+
+def test_take_profit_fires():
+    ctx = _ctx(price=130.0, avg_price=100.0)  # +30% >= 25%
+    assert "sell_take_profit" in _c(evaluate_sell(ctx, EXIT))
+
+
+def test_trailing_stop_fires():
+    ctx = _ctx(price=89.0, holding_high=100.0)  # 89 <= 100*0.9=90
+    assert "sell_trailing_stop" in _c(evaluate_sell(ctx, EXIT))
+
+
+def test_ma_break_severity_high():
+    # price가 ma50/ma200 아래 → severity high (ma200 계산 위해 200봉 필요)
+    closes = [200.0] * 200
+    ctx = _ctx(price=100.0, closes=closes, avg_price=100.0, holding_high=100.0)
+    firing = evaluate_sell(ctx, EXIT)
+    mb = [f for f in firing if f["condition"] == "sell_ma_break"]
+    assert mb and mb[0]["detail"]["severity"] == "high"
+
+
+def test_climax_fires():
+    # holdings_intel 정합: 거래량 3배 이상 + 종가 < 당일고가×0.97 (윗꼬리)
+    ctx = _ctx(price=96.0, day_high=100.0, today_volume=400.0,
+               volumes=[100.0] * 60)   # 400>=3*100, 96 < 100*0.97=97
+    assert "sell_climax" in _c(evaluate_sell(ctx, EXIT))
+
+
+def test_climax_skips_when_not_reversal():
+    # 종가가 당일고가의 97% 이상 → 윗꼬리 아님
+    ctx = _ctx(price=99.0, day_high=100.0, today_volume=400.0,
+               volumes=[100.0] * 60)   # 99 >= 100*0.97=97 → 반전 아님
+    assert "sell_climax" not in _c(evaluate_sell(ctx, EXIT))
+
+
+def test_climax_uses_exit_params_vol_x():
+    # exit_params.climax_vol_x=5.0 → 400 < 5*100=500 → 미발화
+    exit5 = {**EXIT, "climax_vol_x": 5.0}
+    ctx = _ctx(price=96.0, day_high=100.0, today_volume=400.0,
+               volumes=[100.0] * 60)
+    assert "sell_climax" not in _c(evaluate_sell(ctx, exit5))
+
+
+def test_climax_uses_exit_params_close_pct():
+    # climax_close_pct=0.90 → 임계 90, price=95 → 95<90? No → 미발화
+    exit90 = {**EXIT, "climax_close_pct": 0.90}
+    ctx = _ctx(price=95.0, day_high=100.0, today_volume=400.0,
+               volumes=[100.0] * 60)
+    assert "sell_climax" not in _c(evaluate_sell(ctx, exit90))
+    # 기본 0.97이면 95 < 97 → 발화
+    assert "sell_climax" in _c(evaluate_sell(ctx, EXIT))
+
+
+def test_no_avg_no_pnl_conditions():
+    # avg_price None(보유정보 없음) → stop/take 미발화
+    ctx = _ctx(price=50.0, avg_price=None, holding_high=None,
+               closes=[100.0] * 60)
+    conds = _c(evaluate_sell(ctx, EXIT))
+    assert "sell_stop_loss" not in conds and "sell_take_profit" not in conds
--- a/services/trade-monitor/tests/test_config.py
+++ b/services/trade-monitor/tests/test_config.py
@@ -0,0 +1,27 @@
+"""Settings env 로드 — 기본값 + override."""
+from config import load_settings
+
+
+def test_defaults(monkeypatch):
+    for k in ("NAS_BASE_URL", "WEBAI_API_KEY", "REDIS_URL", "TM_KIS_APP_KEY",
+              "TM_KIS_APP_SECRET", "TM_KIS_ACCOUNT", "TM_KIS_IS_VIRTUAL",
+              "TM_LOOP_INTERVAL", "TM_CLIMAX_VOL_MULT"):
+        monkeypatch.delenv(k, raising=False)
+    s = load_settings()
+    assert s.nas_base_url == "http://192.168.45.54:18500"
+    assert s.redis_url == "redis://192.168.45.54:6379"
+    assert s.kis_is_virtual is False
+    assert s.loop_interval == 60
+    assert s.climax_vol_mult == 3.0
+
+
+def test_override(monkeypatch):
+    monkeypatch.setenv("TM_KIS_IS_VIRTUAL", "1")
+    monkeypatch.setenv("TM_LOOP_INTERVAL", "30")
+    monkeypatch.setenv("TM_CLIMAX_VOL_MULT", "2.5")
+    monkeypatch.setenv("WEBAI_API_KEY", "secret")
+    s = load_settings()
+    assert s.kis_is_virtual is True
+    assert s.loop_interval == 30
+    assert s.climax_vol_mult == 2.5
+    assert s.webai_api_key == "secret"
--- a/services/trade-monitor/tests/test_health.py
+++ b/services/trade-monitor/tests/test_health.py
@@ -0,0 +1,6 @@
+"""/health — 라우트 핸들러 직접 검증."""
+from main import health
+
+
+def test_health():
+    assert health() == {"ok": True, "service": "trade-monitor"}
--- a/services/trade-monitor/tests/test_indicators.py
+++ b/services/trade-monitor/tests/test_indicators.py
@@ -0,0 +1,39 @@
+"""indicators — 순수 수치 검증."""
+from indicators import sma, rsi_series, highest_high
+
+
+def test_sma_basic():
+    assert sma([1, 2, 3, 4, 5], 5) == 3.0
+    assert sma([1, 2, 3, 4, 5], 2) == 4.5
+
+
+def test_sma_insufficient():
+    assert sma([1, 2], 5) is None
+    assert sma([], 3) is None
+
+
+def test_highest_high():
+    assert highest_high([1, 9, 3, 4], 3) == 9
+    assert highest_high([1, 2, 3], 3) == 3
+    assert highest_high([1, 2], 3) is None
+
+
+def test_rsi_all_gains_is_100():
+    # 단조 증가 → 손실 0 → RSI 100
+    closes = [float(i) for i in range(1, 20)]
+    rs = rsi_series(closes, 14)
+    assert rs, "series should not be empty"
+    assert rs[-1] == 100.0
+
+
+def test_rsi_insufficient():
+    assert rsi_series([1, 2, 3], 14) == []
+
+
+def test_rsi_known_range():
+    # 등락 섞인 시계열 → RSI는 0~100 사이
+    closes = [10, 11, 10.5, 11.5, 11, 12, 11.8, 12.5, 12, 13,
+              12.7, 13.2, 12.9, 13.5, 13.1, 13.8]
+    rs = rsi_series(closes, 14)
+    assert len(rs) == len(closes) - 14
+    assert all(0.0 <= v <= 100.0 for v in rs)
--- a/services/trade-monitor/tests/test_kis_client.py
+++ b/services/trade-monitor/tests/test_kis_client.py
@@ -0,0 +1,56 @@
+"""KISClient — 토큰 발급/캐시 + quote/daily 파싱 (respx)."""
+import httpx
+import respx
+
+from kis_client import KISClient
+
+BASE = "https://openapi.koreainvestment.com:9443"
+
+
+def _client():
+    return KISClient("APPKEY", "APPSECRET", "12345678-01", is_virtual=False)
+
+
+@respx.mock
+async def test_issue_token_cached():
+    route = respx.post(f"{BASE}/oauth2/tokenP").mock(
+        return_value=httpx.Response(200, json={"access_token": "TKN", "expires_in": 86400}))
+    c = _client()
+    t1 = await c._issue_token()
+    t2 = await c._issue_token()
+    assert t1 == "TKN" and t2 == "TKN"
+    assert route.call_count == 1   # 캐시 → 1회만 발급
+    await c.close()
+
+
+@respx.mock
+async def test_get_quote_parses():
+    respx.post(f"{BASE}/oauth2/tokenP").mock(
+        return_value=httpx.Response(200, json={"access_token": "TKN", "expires_in": 86400}))
+    respx.get(f"{BASE}/uapi/domestic-stock/v1/quotations/inquire-price").mock(
+        return_value=httpx.Response(200, json={"output": {
+            "stck_prpr": "71500", "stck_oprc": "71000", "stck_hgpr": "72000",
+            "acml_vol": "1234567"}}))
+    c = _client()
+    q = await c.get_quote("005930")
+    assert q["price"] == 71500 and q["day_open"] == 71000 and q["today_volume"] == 1234567
+    assert q["day_high"] == 72000
+    await c.close()
+
+
+@respx.mock
+async def test_get_daily_ascending():
+    respx.post(f"{BASE}/oauth2/tokenP").mock(
+        return_value=httpx.Response(200, json={"access_token": "TKN", "expires_in": 86400}))
+    # KIS는 내림차순 반환 → 오름차순으로 뒤집혀야 함
+    respx.get(f"{BASE}/uapi/domestic-stock/v1/quotations/inquire-daily-itemchartprice").mock(
+        return_value=httpx.Response(200, json={"output2": [
+            {"stck_bsop_date": "20260702", "stck_oprc": "100", "stck_hgpr": "110",
+             "stck_lwpr": "90", "stck_clpr": "105", "acml_vol": "5"},
+            {"stck_bsop_date": "20260701", "stck_oprc": "95", "stck_hgpr": "102",
+             "stck_lwpr": "94", "stck_clpr": "100", "acml_vol": "4"}]}))
+    c = _client()
+    bars = await c.get_daily_ohlcv("005930", days=250)
+    assert bars[0]["datetime"] == "2026-07-01"
+    assert bars[-1]["close"] == 105
+    await c.close()
--- a/services/trade-monitor/tests/test_monitor.py
+++ b/services/trade-monitor/tests/test_monitor.py
@@ -0,0 +1,95 @@
+"""monitor.run_cycle — 게이트/필터/조립/격리."""
+from monitor import MonitorState, filter_krx, run_cycle
+from config import load_settings
+from _shared.heartbeat import WorkerStats
+
+
+def test_filter_krx_keeps_only_numeric6():
+    targets = [{"ticker": "005930"}, {"ticker": "AAPL"}, {"ticker": "00660"},
+               {"ticker": "000660"}, {"ticker": "0059301"}]
+    kept = {t["ticker"] for t in filter_krx(targets)}
+    assert kept == {"005930", "000660"}
+
+
+class _FakeNAS:
+    def __init__(self, ms):
+        self._ms = ms
+        self.reported = None
+
+    async def get_monitor_set(self):
+        return self._ms
+
+    async def post_report(self, as_of, firing):
+        self.reported = {"as_of": as_of, "firing": firing}
+        return {"new_alerts": len(firing), "cleared": 0}
+
+
+class _FakeKIS:
+    def __init__(self, price=100, fail_on=None):
+        self._price = price
+        self._fail_on = fail_on or set()
+
+    async def get_quote(self, ticker):
+        if ticker in self._fail_on:
+            raise RuntimeError("KIS down")
+        return {"price": self._price, "day_open": 99, "day_high": 100,
+                "today_volume": 1000, "as_of": "x"}
+
+    async def get_daily_ohlcv(self, ticker, days=250):
+        # 정배열 + 저가 근접 → ma20_pullback 발화 유도
+        return [{"open": 90, "high": 90, "low": 90, "close": 90, "volume": 1}] * 200 \
+            + [{"open": 100, "high": 100, "low": 100, "close": 100, "volume": 1}] * 20
+
+
+async def test_closed_session_skips_kis():
+    nas = _FakeNAS({"session": "closed"})
+    state, stats = MonitorState(), WorkerStats()
+    await run_cycle(nas, _FakeKIS(), state, stats, load_settings())
+    assert state.session_state == "market_closed"
+    assert nas.reported is None   # report도 안 함
+
+
+async def test_non_krx_skipped_and_report_sent():
+    nas = _FakeNAS({"session": "regular",
+                    "buy_targets": [{"ticker": "AAPL", "name": "Apple"}],
+                    "sell_targets": [], "buy_params": {}, "exit_params": {}})
+    state, stats = MonitorState(), WorkerStats()
+    await run_cycle(nas, _FakeKIS(), state, stats, load_settings())
+    assert state.session_state == "market_open"
+    assert nas.reported is not None
+    assert nas.reported["firing"] == []   # 알파벳 티커 skip → 빈 발화
+
+
+async def test_firing_assembled_and_last_alert_set():
+    nas = _FakeNAS({"session": "regular",
+                    "buy_targets": [{"ticker": "005930", "name": "삼성전자"}],
+                    "sell_targets": [], "buy_params": {"pullback_pct": 0.02},
+                    "exit_params": {}})
+    state, stats = MonitorState(), WorkerStats()
+    await run_cycle(nas, _FakeKIS(price=101), state, stats, load_settings())
+    conds = {f["condition"] for f in nas.reported["firing"]}
+    assert "buy_ma20_pullback" in conds
+    assert state.last_alert_at is not None
+
+
+async def test_per_ticker_failure_isolated():
+    nas = _FakeNAS({"session": "regular",
+                    "buy_targets": [{"ticker": "005930"}, {"ticker": "000660"}],
+                    "sell_targets": [], "buy_params": {}, "exit_params": {}})
+    state, stats = MonitorState(), WorkerStats()
+    # 005930은 실패, 000660은 성공 → 루프가 죽지 않고 report 전송
+    await run_cycle(nas, _FakeKIS(fail_on={"005930"}), state, stats, load_settings())
+    assert nas.reported is not None
+    assert state.session_state == "market_open"
+
+
+async def test_monitor_set_failure_sets_idle():
+    class _BadNAS(_FakeNAS):
+        async def get_monitor_set(self):
+            raise RuntimeError("NAS down")
+
+    nas = _BadNAS({})
+    state, stats = MonitorState(), WorkerStats()
+    await run_cycle(nas, _FakeKIS(), state, stats, load_settings())
+    assert state.session_state == "idle"
+    assert nas.reported is None
--- a/services/trade-monitor/tests/test_nas_client.py
+++ b/services/trade-monitor/tests/test_nas_client.py
@@ -0,0 +1,39 @@
+"""NASClient — monitor-set/report + X-WebAI-Key (respx)."""
+import json as _json
+
+import httpx
+import respx
+
+from nas_client import NASClient
+
+BASE = "http://nas.test"
+
+
+@respx.mock
+async def test_get_monitor_set_sends_key():
+    route = respx.get(f"{BASE}/api/webai/trade-alert/monitor-set").mock(
+        return_value=httpx.Response(200, json={"session": "regular", "buy_targets": []}))
+    c = NASClient(BASE, "KEY")
+    ms = await c.get_monitor_set()
+    assert ms["session"] == "regular"
+    assert route.calls.last.request.headers["X-WebAI-Key"] == "KEY"
+    await c.close()
+
+
+@respx.mock
+async def test_post_report_payload():
+    captured = {}
+
+    def _resp(request):
+        captured.update(_json.loads(request.content))
+        return httpx.Response(200, json={"new_alerts": 1, "cleared": 0})
+
+    respx.post(f"{BASE}/api/webai/trade-alert/report").mock(side_effect=_resp)
+    c = NASClient(BASE, "KEY")
+    firing = [{"ticker": "005930", "kind": "buy", "condition": "buy_breakout",
+               "price": 71500, "detail": {}}]
+    out = await c.post_report("2026-07-02T09:01:00+09:00", firing)
+    assert out["new_alerts"] == 1
+    assert captured["as_of"] == "2026-07-02T09:01:00+09:00"
+    assert captured["firing"] == firing
+    await c.close()
Author	SHA1	Message	Date
gahusb	9abca3eeab	docs: /infra 워커 관측 규칙 + trade-monitor climax 정합 반영 - CLAUDE.md: 모든 WSL docker 워커 /infra 관측 필수 규칙(BE 팀규칙) + services 행에 trade-monitor(:18715) 반영 - README.md: sell_climax 정합·36 tests·env 우선순위 문구 갱신 Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01N83vbXEA8h83GMXQcg8fxD	2026-07-03 11:15:36 +09:00
gahusb	5dbb11ac83	fix(trade-monitor): sell_climax holdings_intel 정합 BE 회신(holdings_intel.py:109-118)에 맞춰 반전 기준을 price<day_open → price<day_high×climax_close_pct(윗꼬리)로 변경. - kis_client.get_quote에 day_high(stck_hgpr) 추가 - monitor._build_ctx가 day_high를 ctx로 전달 - climax_vol_x·climax_close_pct를 monitor-set exit_params에서 읽기 (fallback: TM_CLIMAX_VOL_MULT/0.97) - 테스트 36/36 (climax exit_params 2건 추가) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01N83vbXEA8h83GMXQcg8fxD	2026-07-03 11:15:27 +09:00
gahusb	8e1b20190d	docs(readme): trade-monitor 워커 섹션 + /infra 관측 규칙 반영	2026-07-03 11:05:57 +09:00
gahusb	fa6ef6c5c8	feat(trade-monitor): Dockerfile + compose 서비스(18715) + .env.example	2026-07-03 01:48:14 +09:00
gahusb	12aa55ed14	feat(trade-monitor): FastAPI lifespan + heartbeat 배선 + /health	2026-07-03 01:47:34 +09:00
gahusb	ce8983c1b9	feat(trade-monitor): monitor 오케스트레이션 (run_cycle/loop/state_fn)	2026-07-03 01:47:34 +09:00
gahusb	04aff34883	feat(trade-monitor): NAS trade-alert 클라이언트 (monitor-set/report)	2026-07-03 01:46:37 +09:00
gahusb	d761716e00	feat(trade-monitor): KIS 자체 토큰 + quote + 일봉 클라이언트	2026-07-03 01:46:37 +09:00
gahusb	241ce41a6a	feat(trade-monitor): 매수/매도 조건 로직 (§6 8개 조건)	2026-07-03 01:45:41 +09:00
gahusb	366a9160d5	feat(trade-monitor): 순수 지표 모듈 (sma/rsi/highest_high)	2026-07-03 01:45:41 +09:00
gahusb	141209ad42	feat(trade-monitor): 스캐폴딩 + config	2026-07-03 01:44:25 +09:00
gahusb	03e50d2be1	fix(task-watcher): _shared를 빌드 컨텍스트에 포함 (heartbeat import 크래시 수정) task-watcher는 build context가 ./task-watcher라 services/_shared가 이미지에 없었음 → A3가 추가한 `from _shared.heartbeat import` ModuleNotFoundError로 컨테이너 즉시 크래시(재시작 후 alive=false). render 워커 패턴대로 context=. + COPY _shared /app/_shared + PYTHONPATH=/app 로 수정. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019LV86jBozkNhSFXJA412fq	2026-07-01 02:26:57 +09:00