diff --git a/core/llm_advisor.py b/core/llm_advisor.py
new file mode 100644
index 0000000..d036345
--- /dev/null
+++ b/core/llm_advisor.py
@@ -0,0 +1,439 @@
+"""OpenRouter LLM 기반 매도 목표가 어드바이저.
+
+1분 주기로 보유 포지션의 OHLCV 흐름을 분석해 최적 지정가 매도 목표가를 반환.
+LLM이 주(primary), 기존 cascade 규칙이 fallback.
+
+프롬프트에 포함되는 시장 데이터:
+  - 오늘 일봉 (고가/저가/거래량)
+  - 최근 4시간 1시간봉 (가격/볼륨 흐름)
+  - 최근 20봉 20초봉 (단기 패턴)
+
+LLM에게 제공하는 DB Tool (OpenAI function calling):
+  - get_price_ticks(ticker, minutes): Oracle price_tick 테이블 (최근 N분 가격 틱)
+  - get_ohlcv(ticker, limit):         Oracle backtest_ohlcv 1분봉 (지지/저항 파악용)
+  - get_ticker_context(ticker):        종목 평판 정보 (가격 변동, 뉴스)
+
+반환값:
+    float  → 새 지정가 목표가
+    None   → hold (현재 주문 유지) 또는 오류
+"""
+from __future__ import annotations
+
+import json
+import logging
+import os
+from datetime import datetime
+from typing import Optional
+
+log = logging.getLogger(__name__)
+
+# 프롬프트에 포함할 봉 수
+INPUT_BARS = 20
+
+
+# ── Oracle DB Tools ──────────────────────────────────────────────────────────
+
+def _get_conn():
+    """Oracle ADB 연결 (.env 기반)."""
+    import oracledb
+    kwargs = dict(
+        user     = os.environ['ORACLE_USER'],
+        password = os.environ['ORACLE_PASSWORD'],
+        dsn      = os.environ['ORACLE_DSN'],
+    )
+    if w := os.environ.get('ORACLE_WALLET'):
+        kwargs['config_dir'] = w
+    return oracledb.connect(**kwargs)
+
+
+def _tool_get_price_ticks(ticker: str, minutes: int = 10) -> str:
+    """Oracle price_tick 테이블에서 최근 N분 가격 틱 조회."""
+    try:
+        conn = _get_conn()
+        cur  = conn.cursor()
+        cur.execute(
+            """SELECT ts, price
+               FROM price_tick
+               WHERE ticker = :t
+                 AND ts >= SYSTIMESTAMP - NUMTODSINTERVAL(:m, 'MINUTE')
+               ORDER BY ts DESC
+               FETCH FIRST 100 ROWS ONLY""",
+            {'t': ticker, 'm': minutes},
+        )
+        rows = cur.fetchall()
+        conn.close()
+        if not rows:
+            return f"{ticker} 최근 {minutes}분 틱 데이터 없음"
+        lines = [f"  {r[0].strftime('%H:%M:%S')} {float(r[1]):>12,.2f}원" for r in rows]
+        return f"{ticker} 최근 {minutes}분 가격 틱 ({len(rows)}건):\n" + "\n".join(lines)
+    except Exception as e:
+        return f"DB 오류: {e}"
+
+
+def _tool_get_ohlcv(ticker: str, limit: int = 30) -> str:
+    """Oracle backtest_ohlcv 1분봉 최근 N개 조회 (지지/저항 파악용)."""
+    try:
+        conn = _get_conn()
+        cur  = conn.cursor()
+        cur.execute(
+            """SELECT ts, open_p, high_p, low_p, close_p, volume_p
+               FROM backtest_ohlcv
+               WHERE ticker       = :t
+                 AND interval_cd  = 'minute1'
+               ORDER BY ts DESC
+               FETCH FIRST :n ROWS ONLY""",
+            {'t': ticker, 'n': limit},
+        )
+        rows = cur.fetchall()
+        conn.close()
+        if not rows:
+            return f"{ticker} 1분봉 데이터 없음"
+        lines = [
+            f"  {r[0].strftime('%H:%M')}  O{float(r[1]):>10,.0f}  H{float(r[2]):>10,.0f}"
+            f"  L{float(r[3]):>10,.0f}  C{float(r[4]):>10,.0f}  V{float(r[5]):.0f}"
+            for r in reversed(rows)
+        ]
+        return f"{ticker} 1분봉 최근 {len(rows)}개:\n" + "\n".join(lines)
+    except Exception as e:
+        return f"DB 오류: {e}"
+
+
+# ── 종목 컨텍스트 조회 ────────────────────────────────────────────────────────
+
+def _tool_get_context(ticker: str) -> str:
+    """ticker_context 테이블에서 종목의 가격 통계 + 뉴스 조회."""
+    try:
+        conn = _get_conn()
+        cur  = conn.cursor()
+        cur.execute(
+            "SELECT context_type, content FROM ticker_context WHERE ticker = :t",
+            {'t': ticker},
+        )
+        rows = cur.fetchall()
+        conn.close()
+        if not rows:
+            return f"{ticker} 컨텍스트 데이터 없음"
+        parts = []
+        for ctx_type, content in rows:
+            parts.append(f"[{ctx_type}]\n{content}")
+        return f"{ticker} 종목 컨텍스트:\n" + "\n\n".join(parts)
+    except Exception as e:
+        return f"DB 오류: {e}"
+
+
+# ── Tool 정의 (OpenAI function calling 형식) ─────────────────────────────────
+
+_TOOLS = [
+    {
+        'type': 'function',
+        'function': {
+            'name': 'get_price_ticks',
+            'description': (
+                'Oracle DB에서 특정 종목의 최근 N분간 가격 틱 데이터를 조회합니다. '
+                '단기 가격 흐름과 지지/저항 수준 파악에 사용하세요.'
+            ),
+            'parameters': {
+                'type': 'object',
+                'properties': {
+                    'ticker':  {'type': 'string',  'description': '종목 코드 (예: KRW-XRP)'},
+                    'minutes': {'type': 'integer', 'description': '최근 N분 데이터 (기본 10)'},
+                },
+                'required': ['ticker'],
+            },
+        },
+    },
+    {
+        'type': 'function',
+        'function': {
+            'name': 'get_ohlcv',
+            'description': (
+                'Oracle DB에서 특정 종목의 1분봉 OHLCV 데이터를 조회합니다. '
+                '지지선/저항선 파악과 추세 분석에 사용하세요.'
+            ),
+            'parameters': {
+                'type': 'object',
+                'properties': {
+                    'ticker': {'type': 'string',  'description': '종목 코드 (예: KRW-XRP)'},
+                    'limit':  {'type': 'integer', 'description': '조회할 봉 수 (기본 30)'},
+                },
+                'required': ['ticker'],
+            },
+        },
+    },
+    {
+        'type': 'function',
+        'function': {
+            'name': 'get_ticker_context',
+            'description': (
+                '종목의 평판 정보를 조회합니다. 24h/7d 가격 변동률, 거래량 추이, '
+                '최근 뉴스 등 중장기 컨텍스트를 제공합니다. '
+                '매도 판단 시 시장 분위기와 종목 상황을 파악하는 데 사용하세요.'
+            ),
+            'parameters': {
+                'type': 'object',
+                'properties': {
+                    'ticker': {'type': 'string', 'description': '종목 코드 (예: KRW-XRP)'},
+                },
+                'required': ['ticker'],
+            },
+        },
+    },
+]
+
+
+def _execute_tool(tool_name: str, tool_input: dict) -> str:
+    """LLM이 요청한 tool을 실행하고 결과를 반환."""
+    if tool_name == 'get_price_ticks':
+        return _tool_get_price_ticks(
+            ticker  = tool_input['ticker'],
+            minutes = tool_input.get('minutes', 10),
+        )
+    if tool_name == 'get_ohlcv':
+        return _tool_get_ohlcv(
+            ticker = tool_input['ticker'],
+            limit  = tool_input.get('limit', 30),
+        )
+    if tool_name == 'get_ticker_context':
+        return _tool_get_context(ticker=tool_input['ticker'])
+    return f'알 수 없는 tool: {tool_name}'
+
+
+# ── 시장 컨텍스트 수집 ───────────────────────────────────────────────────────
+
+def _get_market_context(ticker: str) -> str:
+    """오늘 일봉 요약 + 최근 4시간 1시간봉을 LLM 프롬프트용 텍스트로 반환.
+
+    pyupbit API 호출 실패 시 빈 문자열 반환 (graceful degradation).
+    """
+    try:
+        import pyupbit
+
+        lines: list[str] = []
+
+        # 오늘 일봉 (오늘 + 전일 2개)
+        day_df = pyupbit.get_ohlcv(ticker, interval='day', count=2)
+        if day_df is not None and not day_df.empty:
+            today = day_df.iloc[-1]
+            prev  = day_df.iloc[-2] if len(day_df) > 1 else None
+            vol_note = ''
+            if prev is not None and prev['volume'] > 0:
+                vol_note = f'  (전일 대비 {today["volume"] / prev["volume"]:.1f}x)'
+            lines.append('[오늘 일봉]')
+            lines.append(f'  고가 {today["high"]:>12,.0f}원  저가 {today["low"]:>12,.0f}원')
+            lines.append(f'  시가 {today["open"]:>12,.0f}원  거래량 {today["volume"]:,.0f}{vol_note}')
+
+        # 최근 4시간 1시간봉
+        h1_df = pyupbit.get_ohlcv(ticker, interval='minute60', count=4)
+        if h1_df is not None and not h1_df.empty:
+            lines.append(f'[최근 {len(h1_df)}시간봉]')
+            for ts, row in h1_df.iterrows():
+                lines.append(
+                    f'  {ts.strftime("%H:%M")}  '
+                    f'고{row["high"]:>10,.0f}  저{row["low"]:>10,.0f}  '
+                    f'종{row["close"]:>10,.0f}  거래량{row["volume"]:,.0f}'
+                )
+
+        return '\n'.join(lines)
+
+    except Exception as e:
+        log.debug(f'[LLM] 시장 컨텍스트 조회 실패: {e}')
+        return ''
+
+
+# ── 프롬프트 빌더 ─────────────────────────────────────────────────────────────
+
+def _describe_bars(bar_list: list[dict], current_price: float) -> str:
+    """봉 데이터를 LLM이 읽기 쉬운 텍스트로 변환."""
+    recent = bar_list[-INPUT_BARS:] if len(bar_list) >= INPUT_BARS else bar_list
+    if not recent:
+        return '봉 데이터 없음'
+
+    lines = []
+    for b in recent:
+        ts_str = b['ts'].strftime('%H:%M:%S') if isinstance(b.get('ts'), datetime) else ''
+        lines.append(
+            f'  {ts_str}  종가{b["close"]:>10,.0f}  고가{b["high"]:>10,.0f}'
+            f'  저가{b["low"]:>10,.0f}'
+        )
+
+    highs5    = [b['high']  for b in recent[-5:]]
+    closes5   = [b['close'] for b in recent[-5:]]
+    period_high = max(b['high'] for b in recent)
+    from_peak   = (current_price - period_high) / period_high * 100
+
+    trend_h = '하락▼' if highs5[-1] < highs5[0] else '상승▲' if highs5[-1] > highs5[0] else '횡보─'
+    trend_c = '하락▼' if closes5[-1] < closes5[0] else '상승▲' if closes5[-1] > closes5[0] else '횡보─'
+
+    summary = (
+        f'\n[패턴 요약]\n'
+        f'- 고가 추세: {trend_h} ({highs5[0]:,.0f}→{highs5[-1]:,.0f})\n'
+        f'- 종가 추세: {trend_c} ({closes5[0]:,.0f}→{closes5[-1]:,.0f})\n'
+        f'- 구간 최고가: {period_high:,.0f}원  현재가 대비: {from_peak:+.2f}%'
+    )
+    return '\n'.join(lines) + summary
+
+
+def _build_prompt(
+    ticker:          str,
+    entry_price:     float,
+    current_price:   float,
+    elapsed_min:     float,
+    current_target:  float,
+    bar_desc:        str,
+    market_context:  str = '',
+) -> str:
+    pnl_pct    = (current_price - entry_price) / entry_price * 100
+    target_gap = (current_target - current_price) / current_price * 100
+
+    market_section = f'\n{market_context}\n' if market_context else ''
+
+    return f"""당신은 암호화폐 단기 트레이더입니다.
+아래 포지션과 가격 흐름을 분석해 **지정가 매도 목표가**를 판단하세요.
+필요하면 제공된 DB tool을 호출해 추가 데이터를 조회하세요.
+특히 get_ticker_context로 종목의 24h/7d 가격 변동, 거래량 추이, 최근 뉴스를 확인하세요.
+
+[현재 포지션]
+종목    : {ticker}
+진입가  : {entry_price:,.0f}원
+현재가  : {current_price:,.0f}원  ({pnl_pct:+.2f}%)
+보유시간: {elapsed_min:.0f}분
+현재 지정가: {current_target:,.0f}원  (현재가 대비 {target_gap:+.2f}%, 미체결)
+{market_section}
+[최근 {INPUT_BARS}봉 (20초봉)]
+{bar_desc}
+
+[운용 정책 참고 — 최종 판단은 당신이 결정]
+- 단기 거래량 가속 신호 진입 후 cascade 청산 전략 (지정가 단계적 조정)
+- 수익 목표: 진입가 대비 +0.5% ~ +2% 구간
+- 체결 가능성이 낮으면 현실적인 목표가로 조정 권장
+- 상승 여력이 있으면 hold 권장
+
+반드시 아래 JSON 형식으로만 응답하세요. 설명이나 다른 텍스트를 절대 포함하지 마세요.
+
+매도 지정가를 설정할 경우:
+{{"action": "sell", "price": 숫자, "confidence": "high|medium|low", "reason": "판단 근거 한줄 요약", "market_status": "상승|하락|횡보|급등|급락", "watch_needed": false}}
+
+현재 주문을 유지할 경우:
+{{"action": "hold", "reason": "유지 근거 한줄 요약", "market_status": "상승|하락|횡보|급등|급락", "watch_needed": true/false}}
+
+watch_needed: 관망이 필요한 상황이면 true (급변동 예상, 불확실성 높음 등)"""
+
+
+# ── 메인 함수 ─────────────────────────────────────────────────────────────────
+
+def get_exit_price(
+    ticker:        str,
+    pos:           dict,
+    bar_list:      list[dict],
+    current_price: float,
+) -> Optional[float]:
+    """LLM에게 매도 목표가를 물어본다. (DB tool 사용 가능)
+
+    Args:
+        ticker:        종목 코드 (예: 'KRW-XRP')
+        pos:           positions[ticker] 딕셔너리
+        bar_list:      list(bars[ticker]) — 최신봉이 마지막
+        current_price: 현재 틱 가격
+
+    Returns:
+        float  → 새 지정가 (현재 주문가와 MIN_CHANGE_R 이상 차이)
+        None   → hold 또는 오류
+    """
+    import requests as _req
+
+    api_key = os.environ.get('OPENROUTER_API_KEY', '')
+    if not api_key:
+        log.debug('[LLM] OPENROUTER_API_KEY 없음 → cascade fallback')
+        return None
+
+    model = os.environ.get('LLM_MODEL', 'anthropic/claude-haiku-4-5-20251001')
+
+    try:
+        entry_price    = pos['entry_price']
+        elapsed_min    = (datetime.now() - pos['entry_ts']).total_seconds() / 60
+        current_target = pos.get('sell_price') or entry_price * 1.005
+
+        bar_desc       = _describe_bars(bar_list, current_price)
+        mkt_ctx        = _get_market_context(ticker)
+        prompt         = _build_prompt(
+            ticker, entry_price, current_price,
+            elapsed_min, current_target, bar_desc,
+            market_context=mkt_ctx,
+        )
+
+        headers = {
+            'Authorization': f'Bearer {api_key}',
+            'Content-Type': 'application/json',
+        }
+        messages = [{'role': 'user', 'content': prompt}]
+
+        # Tool use 루프: LLM이 tool을 요청하면 실행 후 결과 전달
+        for _ in range(5):  # 최대 5회 tool 호출
+            body = {
+                'model':      model,
+                'max_tokens': 512,
+                'tools':      _TOOLS,
+                'messages':   messages,
+                'response_format': {'type': 'json_object'},
+            }
+            resp = _req.post(
+                'https://openrouter.ai/api/v1/chat/completions',
+                headers=headers, json=body, timeout=30,
+            )
+            resp.raise_for_status()
+            result = resp.json()
+
+            choice  = result['choices'][0]
+            message = choice['message']
+
+            # tool_calls가 있으면 실행
+            tool_calls = message.get('tool_calls')
+            if tool_calls:
+                messages.append(message)  # assistant 메시지 추가
+                for tc in tool_calls:
+                    fn_name  = tc['function']['name']
+                    fn_args  = json.loads(tc['function']['arguments'])
+                    fn_result = _execute_tool(fn_name, fn_args)
+                    log.info(f'[LLM-Tool] {ticker} {fn_name}({fn_args}) 호출')
+                    messages.append({
+                        'role':         'tool',
+                        'tool_call_id': tc['id'],
+                        'content':      fn_result,
+                    })
+                continue  # 다시 LLM에게 결과 전달
+
+            # 최종 텍스트 응답
+            raw = (message.get('content') or '').strip()
+            if not raw:
+                log.warning(f'[LLM] {ticker} 빈 응답 → cascade fallback')
+                return None
+
+            # JSON 추출 (```json 블록이나 순수 JSON 모두 처리)
+            if '```' in raw:
+                import re
+                m = re.search(r'```(?:json)?\s*(.*?)\s*```', raw, re.DOTALL)
+                raw = m.group(1) if m else raw
+            data = json.loads(raw)
+            break
+        else:
+            log.warning(f'[LLM] {ticker} tool 루프 초과 → cascade fallback')
+            return None
+
+        reason = data.get('reason', '')
+        status = data.get('market_status', '')
+
+        if data.get('action') == 'hold':
+            log.info(f'[LLM] {ticker} → hold | {status} | {reason}')
+            return None
+
+        suggested  = float(data['price'])
+        confidence = data.get('confidence', '?')
+        log.info(f'[LLM] {ticker} 지정가 교체: {current_target:,.0f} → {suggested:,.0f}원 | {confidence} | {status} | {reason}')
+        return suggested
+
+    except json.JSONDecodeError as e:
+        log.warning(f'[LLM] {ticker} JSON 파싱 실패: {e} raw={raw[:100]} → cascade fallback')
+        return None
+    except Exception as e:
+        log.warning(f'[LLM] {ticker} 오류: {e} → cascade fallback')
+        return None
diff --git a/daemons/context_collector.py b/daemons/context_collector.py
new file mode 100644
index 0000000..21cdfd8
--- /dev/null
+++ b/daemons/context_collector.py
@@ -0,0 +1,226 @@
+"""종목 컨텍스트 수집 데몬.
+
+1시간마다 각 종목의 평판 정보를 수집해 Oracle ticker_context 테이블에 저장.
+LLM 어드바이저가 매도 판단 시 참조.
+
+수집 항목:
+  - price_stats: 24h/7d 가격 변동률, 거래량 추이
+  - news: SearXNG 웹 검색 뉴스 요약
+
+실행:
+    .venv/bin/python3 daemons/context_collector.py
+로그:
+    /tmp/context_collector.log
+"""
+import sys, os, time, logging, json, requests
+from datetime import datetime
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+from dotenv import load_dotenv
+load_dotenv(os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), '.env'))
+
+import pyupbit
+import oracledb
+
+TICKERS = [
+    'KRW-XRP', 'KRW-BTC', 'KRW-ETH', 'KRW-SOL', 'KRW-DOGE',
+    'KRW-ADA', 'KRW-SUI', 'KRW-NEAR', 'KRW-KAVA', 'KRW-SXP',
+    'KRW-AKT', 'KRW-SONIC', 'KRW-IP', 'KRW-ORBS', 'KRW-VIRTUAL',
+    'KRW-BARD', 'KRW-XPL', 'KRW-KITE', 'KRW-ENSO', 'KRW-0G',
+    'KRW-MANTRA', 'KRW-EDGE', 'KRW-CFG', 'KRW-ARDR', 'KRW-SIGN',
+    'KRW-AZTEC', 'KRW-ATH', 'KRW-HOLO', 'KRW-BREV', 'KRW-SHIB',
+]
+
+COLLECT_INTERVAL = 3600  # 1시간
+SEARXNG_URL = 'https://searxng.cloud-handson.com/search'
+
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s %(levelname)s %(message)s',
+    handlers=[
+        logging.FileHandler('/tmp/context_collector.log'),
+        logging.StreamHandler(sys.stdout),
+    ]
+)
+log = logging.getLogger(__name__)
+
+# 코인명 매핑 (검색 키워드용)
+COIN_NAMES = {
+    'KRW-BTC': 'Bitcoin', 'KRW-ETH': 'Ethereum', 'KRW-XRP': 'Ripple XRP',
+    'KRW-SOL': 'Solana', 'KRW-DOGE': 'Dogecoin', 'KRW-ADA': 'Cardano',
+    'KRW-SUI': 'SUI', 'KRW-NEAR': 'NEAR Protocol', 'KRW-KAVA': 'KAVA',
+    'KRW-SXP': 'Solar SXP', 'KRW-AKT': 'Akash', 'KRW-SONIC': 'Sonic',
+    'KRW-IP': 'Story IP', 'KRW-ORBS': 'ORBS', 'KRW-VIRTUAL': 'Virtuals Protocol',
+    'KRW-BARD': 'BARD', 'KRW-XPL': 'XPL', 'KRW-KITE': 'KITE',
+    'KRW-ENSO': 'ENSO', 'KRW-0G': '0G', 'KRW-MANTRA': 'MANTRA OM',
+    'KRW-EDGE': 'EDGE', 'KRW-CFG': 'Centrifuge', 'KRW-ARDR': 'Ardor',
+    'KRW-SIGN': 'SIGN', 'KRW-AZTEC': 'AZTEC', 'KRW-ATH': 'Aethir',
+    'KRW-HOLO': 'Holochain', 'KRW-BREV': 'BREV', 'KRW-SHIB': 'Shiba Inu',
+}
+
+
+def get_conn():
+    kwargs = dict(user=os.environ["ORACLE_USER"], password=os.environ["ORACLE_PASSWORD"],
+                  dsn=os.environ["ORACLE_DSN"])
+    if w := os.environ.get("ORACLE_WALLET"):
+        kwargs["config_dir"] = w
+    return oracledb.connect(**kwargs)
+
+
+def upsert_context(conn, ticker: str, context_type: str, content: str):
+    cur = conn.cursor()
+    cur.execute(
+        """MERGE INTO ticker_context tc
+           USING (SELECT :t AS ticker, :ct AS context_type FROM dual) s
+           ON (tc.ticker = s.ticker AND tc.context_type = s.context_type)
+           WHEN MATCHED THEN
+               UPDATE SET content = :c, updated_at = SYSTIMESTAMP
+           WHEN NOT MATCHED THEN
+               INSERT (ticker, context_type, content)
+               VALUES (:t, :ct, :c)""",
+        {'t': ticker, 'ct': context_type, 'c': content},
+    )
+
+
+def collect_price_stats(conn):
+    """각 종목의 24h/7d 가격 변동률 + 거래량 추이를 수집."""
+    log.info("[price_stats] 수집 시작")
+    count = 0
+    for ticker in TICKERS:
+        try:
+            # 일봉 7개 (7일치)
+            df_day = pyupbit.get_ohlcv(ticker, interval='day', count=8)
+            if df_day is None or len(df_day) < 2:
+                continue
+
+            today = df_day.iloc[-1]
+            yesterday = df_day.iloc[-2]
+
+            # 24h 변동률
+            chg_24h = (today['close'] - yesterday['close']) / yesterday['close'] * 100
+
+            # 7d 변동률
+            if len(df_day) >= 8:
+                week_ago = df_day.iloc[-8]
+                chg_7d = (today['close'] - week_ago['close']) / week_ago['close'] * 100
+            else:
+                chg_7d = None
+
+            # 거래량 추이 (최근 3일 vs 이전 3일)
+            if len(df_day) >= 7:
+                recent_vol = df_day['volume'].iloc[-3:].mean()
+                prev_vol = df_day['volume'].iloc[-6:-3].mean()
+                vol_trend = recent_vol / prev_vol if prev_vol > 0 else 1.0
+            else:
+                vol_trend = None
+
+            # 1시간봉 최근 24개 (24시간)
+            df_h1 = pyupbit.get_ohlcv(ticker, interval='minute60', count=24)
+            h1_high = h1_low = None
+            if df_h1 is not None and not df_h1.empty:
+                h1_high = float(df_h1['high'].max())
+                h1_low = float(df_h1['low'].min())
+
+            stats = {
+                'price': float(today['close']),
+                'chg_24h_pct': round(chg_24h, 2),
+                'chg_7d_pct': round(chg_7d, 2) if chg_7d is not None else None,
+                'vol_today': float(today['volume']),
+                'vol_trend_3d': round(vol_trend, 2) if vol_trend is not None else None,
+                'h24_high': h1_high,
+                'h24_low': h1_low,
+                'updated': datetime.now().strftime('%Y-%m-%d %H:%M'),
+            }
+            upsert_context(conn, ticker, 'price_stats', json.dumps(stats, ensure_ascii=False))
+            count += 1
+            time.sleep(0.2)
+        except Exception as e:
+            log.warning(f"[price_stats] {ticker} 오류: {e}")
+
+    conn.commit()
+    log.info(f"[price_stats] 완료 {count}/{len(TICKERS)} 종목")
+
+
+def search_news(coin_name: str, max_results: int = 5) -> list[dict]:
+    """SearXNG로 코인 뉴스 검색."""
+    try:
+        resp = requests.get(
+            SEARXNG_URL,
+            params={
+                'q': f'{coin_name} crypto news',
+                'format': 'json',
+                'categories': 'news',
+                'language': 'ko-KR',
+                'time_range': 'week',
+            },
+            timeout=15,
+        )
+        resp.raise_for_status()
+        data = resp.json()
+        results = []
+        for r in data.get('results', [])[:max_results]:
+            results.append({
+                'title': r.get('title', ''),
+                'url': r.get('url', ''),
+                'content': r.get('content', '')[:200],
+                'date': r.get('publishedDate', ''),
+            })
+        return results
+    except Exception as e:
+        log.warning(f"[news] {coin_name} 검색 오류: {e}")
+        return []
+
+
+def collect_news(conn):
+    """각 종목의 최근 뉴스를 수집."""
+    log.info("[news] 수집 시작")
+    count = 0
+    for ticker in TICKERS:
+        coin_name = COIN_NAMES.get(ticker, ticker.split('-')[1])
+        try:
+            articles = search_news(coin_name)
+            if not articles:
+                continue
+
+            news_data = {
+                'coin': coin_name,
+                'articles': articles,
+                'updated': datetime.now().strftime('%Y-%m-%d %H:%M'),
+            }
+            upsert_context(conn, ticker, 'news', json.dumps(news_data, ensure_ascii=False))
+            count += 1
+            time.sleep(1)  # 검색 API rate limit 배려
+        except Exception as e:
+            log.warning(f"[news] {ticker} 오류: {e}")
+
+    conn.commit()
+    log.info(f"[news] 완료 {count}/{len(TICKERS)} 종목")
+
+
+def main():
+    log.info("=== context_collector 시작 (1시간 간격) ===")
+    log.info(f"대상: {len(TICKERS)}개 종목")
+    conn = get_conn()
+
+    while True:
+        t0 = time.time()
+        try:
+            collect_price_stats(conn)
+            collect_news(conn)
+        except oracledb.DatabaseError as e:
+            log.error(f"DB 오류: {e} — 재연결")
+            try:
+                conn.close()
+            except:
+                pass
+            conn = get_conn()
+        except Exception as e:
+            log.error(f"오류: {e}")
+
+        elapsed = time.time() - t0
+        log.info(f"[완료] {elapsed:.0f}초 소요, {COLLECT_INTERVAL}초 후 다음 수집")
+        time.sleep(max(60, COLLECT_INTERVAL - elapsed))
+
+
+if __name__ == '__main__':
+    main()
diff --git a/daemons/fetch_1min_history.py b/daemons/fetch_1min_history.py
new file mode 100644
index 0000000..14a3b7c
--- /dev/null
+++ b/daemons/fetch_1min_history.py
@@ -0,0 +1,169 @@
+"""1분봉 장기 히스토리 fetch 데몬.
+
+주요 5종목(BTC/ETH/XRP/SOL/DOGE)의 1분봉을 2년치까지 소급 수집.
+백그라운드에서 조용히 실행 — API 딜레이 충분히 줘서 다른 작업 방해 안 함.
+재시작 시 DB에 이미 있는 범위는 건너뜀.
+
+실행:
+    .venv/bin/python3 daemons/fetch_1min_history.py [--tickers BTC ETH] [--days 730]
+로그:
+    /tmp/fetch_1min_history.log
+"""
+import sys, os, time, argparse, logging
+from datetime import datetime, timedelta
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+from dotenv import load_dotenv
+load_dotenv(os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), '.env'))
+
+import pyupbit
+import oracledb
+
+# ── 설정 ──────────────────────────────────────────────────────────────────────
+DEFAULT_TICKERS = ['KRW-BTC', 'KRW-ETH', 'KRW-XRP', 'KRW-SOL', 'KRW-DOGE']
+BATCH      = 200     # API 1회 요청 봉수 (Upbit 최대 200)
+DELAY      = 0.4     # API 호출 간격 (초) — 넉넉히 줘서 rate limit 회피
+RETRY_WAIT = 5.0     # 오류 시 대기 (초)
+
+# ── 로깅 설정 ─────────────────────────────────────────────────────────────────
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s %(levelname)s %(message)s',
+    handlers=[
+        logging.FileHandler('/tmp/fetch_1min_history.log'),
+        logging.StreamHandler(sys.stdout),
+    ]
+)
+log = logging.getLogger(__name__)
+
+
+def _get_conn():
+    kwargs = dict(user=os.environ["ORACLE_USER"],
+                  password=os.environ["ORACLE_PASSWORD"],
+                  dsn=os.environ["ORACLE_DSN"])
+    wallet = os.environ.get("ORACLE_WALLET")
+    if wallet:
+        kwargs["config_dir"] = wallet
+    return oracledb.connect(**kwargs)
+
+
+def get_oldest_ts(conn, ticker: str):
+    """DB에 있는 해당 ticker 1분봉의 가장 오래된 ts 반환. 없으면 None."""
+    cur = conn.cursor()
+    cur.execute(
+        "SELECT MIN(ts) FROM backtest_ohlcv "
+        "WHERE ticker=:t AND interval_cd='minute1'",
+        {"t": ticker}
+    )
+    row = cur.fetchone()
+    return row[0] if row and row[0] else None
+
+
+def insert_batch(conn, ticker: str, rows: list) -> int:
+    """rows: [(ts, open, high, low, close, volume), ...] — bulk insert, 중복 무시."""
+    if not rows:
+        return 0
+    cur = conn.cursor()
+    cur.executemany(
+        "INSERT INTO backtest_ohlcv "
+        "(ticker,interval_cd,ts,open_p,high_p,low_p,close_p,volume_p) "
+        "VALUES (:1,'minute1',:2,:3,:4,:5,:6,:7)",
+        [(ticker, ts, o, h, l, c, v) for ts, o, h, l, c, v in rows],
+        batcherrors=True,
+    )
+    errors = cur.getbatcherrors()
+    conn.commit()
+    return len(rows) - len(errors)
+
+
+def fetch_ticker(conn, ticker: str, cutoff: datetime) -> int:
+    """ticker의 cutoff까지 1분봉 소급 fetch.
+    DB에 이미 있는 범위는 batcherrors로 자동 스킵.
+    """
+    oldest_in_db = get_oldest_ts(conn, ticker)
+    if oldest_in_db and oldest_in_db <= cutoff:
+        log.info(f"{ticker}: DB에 이미 {oldest_in_db.date()} 까지 있음 → 스킵")
+        return 0
+
+    # datetime.now()에서 시작해 cutoff까지 역방향 fetch
+    # 중복은 DB unique constraint + batcherrors가 처리
+    to_dt   = datetime.now()
+    total   = 0
+    batch_n = 0
+
+    if oldest_in_db:
+        log.info(f"{ticker}: DB 최솟값={oldest_in_db.date()}, {cutoff.date()} 까지 소급 시작")
+    else:
+        log.info(f"{ticker}: DB에 데이터 없음, {cutoff.date()} 까지 전체 fetch 시작")
+
+    while to_dt > cutoff:
+        # pyupbit의 to 파라미터는 UTC로 해석됨 — KST에서 9시간 빼서 전달
+        to_utc = to_dt - timedelta(hours=9)
+        to_str = to_utc.strftime('%Y-%m-%d %H:%M:%S')
+        try:
+            df = pyupbit.get_ohlcv(ticker, interval='minute1', count=BATCH, to=to_str)
+            time.sleep(DELAY)
+        except Exception as e:
+            log.warning(f"{ticker} API 오류: {e} → {RETRY_WAIT}s 후 재시도")
+            time.sleep(RETRY_WAIT)
+            continue
+
+        if df is None or len(df) == 0:
+            log.info(f"{ticker}: API 데이터 소진 ({to_str})")
+            break
+
+        rows = [
+            (ts.to_pydatetime(), float(r['open']), float(r['high']),
+             float(r['low']), float(r['close']), float(r['volume']))
+            for ts, r in df.iterrows()
+        ]
+        n = insert_batch(conn, ticker, rows)
+        total  += n
+        batch_n += 1
+        oldest  = df.index[0].to_pydatetime()
+
+        if batch_n % 50 == 0:
+            log.info(f"  {ticker} 배치{batch_n:04d}: {oldest.date()} | 신규 누적 {total:,}행")
+
+        to_dt = oldest - timedelta(minutes=1)
+
+        if oldest <= cutoff:
+            break
+
+    log.info(f"{ticker}: 완료 — 신규 {total:,}행 (배치 {batch_n}회)")
+    return total
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--tickers', nargs='+', default=DEFAULT_TICKERS,
+                        help='수집 티커 (예: KRW-BTC KRW-ETH)')
+    parser.add_argument('--days', type=int, default=730,
+                        help='소급 일수 (기본 730일 = 2년)')
+    args = parser.parse_args()
+
+    cutoff = datetime.now() - timedelta(days=args.days)
+    log.info(f"=== 1분봉 히스토리 데몬 시작 ===")
+    log.info(f"대상: {args.tickers}")
+    log.info(f"목표: {cutoff.date()} ({args.days}일) 까지 소급")
+
+    conn        = _get_conn()
+    grand_total = 0
+    t_start     = time.time()
+
+    for ticker in args.tickers:
+        t0 = time.time()
+        try:
+            n = fetch_ticker(conn, ticker, cutoff)
+            grand_total += n
+            elapsed = time.time() - t0
+            log.info(f"{ticker}: {n:,}행 저장 ({elapsed/60:.1f}분)")
+        except Exception as e:
+            log.error(f"{ticker}: 오류 — {e}")
+
+    conn.close()
+    total_min = (time.time() - t_start) / 60
+    log.info(f"=== 완료: 총 {grand_total:,}행 / {total_min:.0f}분 ===")
+
+
+if __name__ == '__main__':
+    main()
diff --git a/daemons/live_trader.py b/daemons/live_trader.py
new file mode 100644
index 0000000..4ce1eef
--- /dev/null
+++ b/daemons/live_trader.py
@@ -0,0 +1,363 @@
+"""실시간 1분봉 볼륨 가속 트레이더.
+
+4봉 연속 가격+볼륨 가속 시그널(VOL≥8x) 감지 후 실제 매수/매도 + Telegram 알림.
+
+실행:
+    .venv/bin/python3 daemons/live_trader.py
+로그:
+    /tmp/live_trader.log
+"""
+import sys, os, time, logging, requests
+from datetime import datetime
+from typing import Optional
+
+import pandas as pd
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+from dotenv import load_dotenv
+load_dotenv(os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), '.env'))
+
+import pyupbit
+
+# ── 전략 파라미터 ──────────────────────────────────────────────────────────────
+TICKERS = [
+    'KRW-XRP', 'KRW-BTC', 'KRW-ETH', 'KRW-SOL', 'KRW-DOGE',
+    'KRW-ADA', 'KRW-SUI', 'KRW-NEAR', 'KRW-KAVA', 'KRW-SXP',
+    'KRW-AKT', 'KRW-SONIC', 'KRW-IP', 'KRW-ORBS', 'KRW-VIRTUAL',
+    'KRW-BARD', 'KRW-XPL', 'KRW-KITE', 'KRW-ENSO', 'KRW-0G',
+]
+VOL_LOOKBACK  = 61
+ATR_LOOKBACK  = 28
+FETCH_BARS    = 100
+VOL_MIN       = 8.0
+ATR_MULT      = 1.0
+ATR_MIN_R     = 0.030   # 3.0% (ATR 계산용, ⑤ trail에서는 미사용)
+ATR_MAX_R     = 0.050   # 5.0%
+
+# ── Cascade 청산 파라미터 ──────────────────────────────────────────────────────
+# (시작분, 종료분, limit 수익률)
+CASCADE_STAGES = [
+    (0,    2,  0.020),   # ① 0~ 2분:   현재가 >= 진입가×1.020 → 청산
+    (2,    5,  0.010),   # ② 2~ 5분:   현재가 >= 진입가×1.010 → 청산
+    (5,   35,  0.005),   # ③ 5~35분:   현재가 >= 진입가×1.005 → 청산
+    (35, 155,  0.001),   # ④ 35~155분: 현재가 >= 진입가×1.001 → 청산 (본전)
+]
+TRAIL_STOP_R  = 0.004   # ⑤ 155분~: Trail Stop 0.4%
+
+MAX_POS       = int(os.environ.get('MAX_POSITIONS', 3))
+PER_POS       = int(os.environ.get('MAX_BUDGET', 15_000_000)) // MAX_POS
+FEE           = 0.0005
+
+POLL_SEC      = 65
+API_DELAY     = 0.12
+TIMEOUT_BARS  = 240   # 4시간: ⑤ Trail 구간에서 본전 이하 시 청산
+
+SIM_MODE      = os.environ.get('SIMULATION_MODE', 'true').lower() == 'true'
+
+# ── Upbit 클라이언트 ───────────────────────────────────────────────────────────
+upbit = pyupbit.Upbit(os.environ['ACCESS_KEY'], os.environ['SECRET_KEY'])
+
+# ── Telegram ──────────────────────────────────────────────────────────────────
+TG_TOKEN   = os.environ.get('TELEGRAM_TRADE_TOKEN', '')
+TG_CHAT_ID = os.environ.get('TELEGRAM_CHAT_ID', '')
+
+def tg(msg: str) -> None:
+    if not TG_TOKEN or not TG_CHAT_ID:
+        return
+    try:
+        requests.post(
+            f'https://api.telegram.org/bot{TG_TOKEN}/sendMessage',
+            json={'chat_id': TG_CHAT_ID, 'text': msg, 'parse_mode': 'HTML'},
+            timeout=5,
+        )
+    except Exception as e:
+        log.warning(f'Telegram 전송 실패: {e}')
+
+# ── 로깅 ──────────────────────────────────────────────────────────────────────
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s %(levelname)s %(message)s',
+    handlers=[
+        logging.FileHandler('/tmp/live_trader.log'),
+        logging.StreamHandler(sys.stdout),
+    ]
+)
+log = logging.getLogger(__name__)
+
+
+# ── 지표 계산 ─────────────────────────────────────────────────────────────────
+def compute_indicators(df: pd.DataFrame) -> pd.DataFrame:
+    vol_ma = df['volume'].rolling(VOL_LOOKBACK, min_periods=30).mean().shift(2)
+    df = df.copy()
+    df['vr'] = df['volume'] / vol_ma
+
+    prev_close = df['close'].shift(1)
+    tr = pd.concat([
+        df['high'] - df['low'],
+        (df['high'] - prev_close).abs(),
+        (df['low']  - prev_close).abs(),
+    ], axis=1).max(axis=1)
+    df['atr_raw'] = tr.rolling(ATR_LOOKBACK, min_periods=10).mean() / prev_close
+    return df
+
+
+def check_signal(df: pd.DataFrame) -> Optional[dict]:
+    """마지막 3봉(완성봉) 가격+볼륨 가속 조건 체크."""
+    if len(df) < VOL_LOOKBACK + 10:
+        return None
+
+    b = df.iloc[-4:-1]   # 완성된 마지막 3봉
+    if len(b) < 3:
+        return None
+
+    c  = b['close'].values
+    o  = b['open'].values
+    vr = b['vr'].values
+
+    if not all(c[i] > o[i] for i in range(3)):      return None  # 양봉
+    if not (c[2] > c[1] > c[0]):                    return None  # 가격 가속
+    if not (vr[2] > vr[1] > vr[0]):                 return None  # 볼륨 가속
+    if vr[2] < VOL_MIN:                              return None  # VOL 임계값
+
+    atr_raw = float(b['atr_raw'].iloc[-1]) if not pd.isna(b['atr_raw'].iloc[-1]) else 0.0
+    return {
+        'sig_ts':    b.index[-1],
+        'sig_price': float(c[2]),
+        'vr':        list(vr),
+        'prices':    list(c),
+        'atr_raw':   atr_raw,
+    }
+
+
+# ── 주문 ──────────────────────────────────────────────────────────────────────
+def do_buy(ticker: str, krw_amount: int) -> Optional[float]:
+    """시장가 매수. 실제 체결 수량 반환. 실패 시 None."""
+    if SIM_MODE:
+        current = pyupbit.get_current_price(ticker)
+        qty = krw_amount * (1 - FEE) / current
+        log.info(f"[SIM 매수] {ticker} {krw_amount:,}원 → {qty:.6f}개 @ {current:,.0f}")
+        return qty
+
+    try:
+        krw_bal = upbit.get_balance("KRW")
+        if krw_bal is None or krw_bal < krw_amount:
+            log.warning(f"KRW 잔고 부족: {krw_bal:,.0f}원 < {krw_amount:,}원")
+            return None
+
+        order = upbit.buy_market_order(ticker, krw_amount)
+        if not order or 'error' in str(order):
+            log.error(f"매수 주문 실패: {order}")
+            return None
+
+        # 체결 대기 후 실제 보유량 조회
+        time.sleep(1.5)
+        coin = ticker.split('-')[1]
+        qty = upbit.get_balance(coin)
+        log.info(f"[매수 완료] {ticker} {krw_amount:,}원 → {qty:.6f}개  uuid={order.get('uuid','')[:8]}")
+        return qty if qty and qty > 0 else None
+
+    except Exception as e:
+        log.error(f"매수 오류 {ticker}: {e}")
+        return None
+
+
+def do_sell(ticker: str, qty: float) -> Optional[float]:
+    """시장가 매도. 체결가(추정) 반환. 실패 시 None."""
+    if SIM_MODE:
+        current = pyupbit.get_current_price(ticker)
+        log.info(f"[SIM 매도] {ticker} {qty:.6f}개 @ {current:,.0f}")
+        return current
+
+    try:
+        order = upbit.sell_market_order(ticker, qty)
+        if not order or 'error' in str(order):
+            log.error(f"매도 주문 실패: {order}")
+            return None
+
+        time.sleep(1.5)
+        current = pyupbit.get_current_price(ticker)
+        log.info(f"[매도 완료] {ticker} {qty:.6f}개  uuid={order.get('uuid','')[:8]}")
+        return current
+
+    except Exception as e:
+        log.error(f"매도 오류 {ticker}: {e}")
+        return None
+
+
+# ── 포지션 관리 ───────────────────────────────────────────────────────────────
+positions: dict = {}
+
+
+def enter_position(ticker: str, sig: dict, entry_price: float) -> None:
+    ar       = sig['atr_raw']
+    atr_stop = max(ATR_MIN_R, min(ATR_MAX_R, ar * ATR_MULT)) if ar > 0 else ATR_MAX_R
+
+    qty = do_buy(ticker, PER_POS)
+    if qty is None:
+        log.warning(f"[진입 실패] {ticker} — 매수 주문 오류")
+        return
+
+    positions[ticker] = {
+        'entry_price':  entry_price,
+        'entry_ts':     datetime.now(),
+        'running_peak': entry_price,
+        'qty':          qty,
+        'vr':           sig['vr'],
+        'prices':       sig['prices'],
+    }
+
+    log.info(f"[진입] {ticker} {entry_price:,.0f}원  vol {sig['vr'][2]:.1f}x  cascade①2%②1%③0.5%④0.1%⑤trail0.4%")
+    tg(
+        f"🟢 <b>매수 완료</b> {ticker}\n"
+        f"체결가: {entry_price:,.0f}원  수량: {qty:.6f}\n"
+        f"전략: ①2% ②1% ③0.5% ④0.1%(본전) ⑤Trail0.4%\n"
+        f"{'[시뮬]' if SIM_MODE else '[실거래]'}"
+    )
+
+
+def _do_exit(ticker: str, current_price: float, reason: str) -> bool:
+    """공통 청산 처리. reason: 'trail' | 'timeout'"""
+    pos = positions[ticker]
+    exit_price = do_sell(ticker, pos['qty'])
+    if exit_price is None:
+        exit_price = current_price
+
+    pnl  = (exit_price - pos['entry_price']) / pos['entry_price'] * 100
+    krw  = PER_POS * (pnl / 100) - PER_POS * FEE * 2
+    held = int((datetime.now() - pos['entry_ts']).total_seconds() / 60)
+
+    icon = "✅" if pnl > 0 else "🔴"
+    reason_tag = {
+        '①2%':    '① +2.0% 익절',
+        '②1%':    '② +1.0% 익절',
+        '③0.5%':  '③ +0.5% 익절',
+        '④0.1%':  '④ +0.1% 본전',
+        '⑤trail': '⑤ 트레일스탑',
+        'timeout': '⑤ 타임아웃',
+    }.get(reason, reason)
+    msg = (
+        f"{icon} <b>청산</b> {ticker} [{reason_tag}]\n"
+        f"진입: {pos['entry_price']:,.0f}원\n"
+        f"고점: {pos['running_peak']:,.0f}원 ({(pos['running_peak']/pos['entry_price']-1)*100:+.2f}%)\n"
+        f"청산: {exit_price:,.0f}원\n"
+        f"PNL: <b>{pnl:+.2f}%</b>  ({krw:+,.0f}원)  {held}분 보유\n"
+        f"{'[시뮬]' if SIM_MODE else '[실거래]'}"
+    )
+    log.info(
+        f"[청산/{reason}] {ticker} {exit_price:,.0f}원  "
+        f"PNL {pnl:+.2f}%  {krw:+,.0f}원  {held}분 보유"
+    )
+    tg(msg)
+    del positions[ticker]
+    return True
+
+
+def update_position(ticker: str, current_price: float) -> bool:
+    """Cascade 청산 체크. 청산 시 True 반환.
+
+    ① 0~ 2분: +2.0% limit
+    ② 2~ 5분: +1.0% limit
+    ③ 5~35분: +0.5% limit
+    ④ 35~155분: +0.1% limit (본전)
+    ⑤ 155분~: Trail Stop 0.4%
+    """
+    pos   = positions[ticker]
+    ep    = pos['entry_price']
+    held  = int((datetime.now() - pos['entry_ts']).total_seconds() / 60)
+
+    # 항상 고점 갱신 (⑤ trail 진입 시 정확한 고점 기준)
+    pos['running_peak'] = max(pos['running_peak'], current_price)
+
+    # ①②③④: cascade limit 단계
+    stage_labels = {0: '①2%', 2: '②1%', 5: '③0.5%', 35: '④0.1%'}
+    for start, end, lr in CASCADE_STAGES:
+        if start <= held < end:
+            if current_price >= ep * (1 + lr):
+                return _do_exit(ticker, current_price, stage_labels[start])
+            return False
+
+    # ⑤: Trail Stop 0.4%
+    drop = (pos['running_peak'] - current_price) / pos['running_peak']
+    if drop >= TRAIL_STOP_R:
+        return _do_exit(ticker, current_price, '⑤trail')
+
+    # 타임아웃: 4시간 경과 + 본전 이하
+    if held >= TIMEOUT_BARS and current_price <= ep:
+        return _do_exit(ticker, current_price, 'timeout')
+
+    return False
+
+
+# ── 메인 루프 ─────────────────────────────────────────────────────────────────
+def run_once() -> None:
+    for ticker in TICKERS:
+        try:
+            df = pyupbit.get_ohlcv(ticker, interval='minute1', count=FETCH_BARS)
+            time.sleep(API_DELAY)
+        except Exception as e:
+            log.warning(f"{ticker} API 오류: {e}")
+            continue
+
+        if df is None or len(df) < 30:
+            continue
+
+        df = compute_indicators(df)
+        current_price = float(df['close'].iloc[-1])
+
+        # 열린 포지션: trail stop 체크
+        if ticker in positions:
+            update_position(ticker, current_price)
+            continue
+
+        # 신규 진입: 시그널 체크 (슬롯 여부와 관계없이 항상 탐지)
+        sig = check_signal(df)
+        if sig:
+            vr = sig['vr']
+            pr = sig['prices']
+            slot_tag = f"→ 매수 진행" if len(positions) < MAX_POS else f"⚠️ 슬롯 {len(positions)}/{MAX_POS} 꽉 참"
+            # 시그널 감지 즉시 알림
+            tg(
+                f"🔔 <b>시그널</b> {ticker}\n"
+                f"가격: {pr[0]:,.0f}→{pr[1]:,.0f}→{pr[2]:,.0f}\n"
+                f"볼륨: {vr[0]:.1f}x→{vr[1]:.1f}x→{vr[2]:.1f}x\n"
+                f"현재가: {current_price:,.0f}원  ATR: {sig['atr_raw']*100:.2f}%\n"
+                f"{slot_tag}"
+            )
+            log.info(f"[시그널] {ticker} {current_price:,.0f}원  vol {vr[2]:.1f}x  {slot_tag}")
+            if len(positions) < MAX_POS:
+                enter_position(ticker, sig, current_price)
+
+    pos_str = ', '.join(
+        f"{t}({p['entry_price']:,.0f}→{p['running_peak']:,.0f}, {((p['running_peak']/p['entry_price'])-1)*100:+.1f}%)"
+        for t, p in positions.items()
+    ) or "없음"
+    log.info(f"[상태] 포지션 {len(positions)}/{MAX_POS}: {pos_str}")
+
+
+def main():
+    mode = "🔴 실거래" if not SIM_MODE else "🟡 시뮬레이션"
+    log.info(f"=== 실시간 트레이더 시작 ({mode}) ===")
+    log.info(f"전략: 3봉 vol가속 VOL≥{VOL_MIN}x, cascade①2%②1%③0.5%④0.1%⑤Trail{TRAIL_STOP_R*100:.1f}%")
+    log.info(f"종목: {len(TICKERS)}개  포지션당 {PER_POS:,}원  최대 {MAX_POS}개")
+
+    tg(
+        f"🚀 <b>트레이더 시작</b> ({mode})\n"
+        f"3봉 VOL≥{VOL_MIN}x  cascade①2%②1%③0.5%④0.1%⑤Trail{TRAIL_STOP_R*100:.1f}%\n"
+        f"종목 {len(TICKERS)}개  포지션당 {PER_POS:,}원  최대 {MAX_POS}개"
+    )
+
+    while True:
+        t0 = time.time()
+        try:
+            run_once()
+        except Exception as e:
+            log.error(f"루프 오류: {e}")
+
+        elapsed = time.time() - t0
+        sleep   = max(1.0, POLL_SEC - elapsed)
+        log.info(f"[대기] {sleep:.0f}초 후 다음 체크")
+        time.sleep(sleep)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/daemons/tick_collector.py b/daemons/tick_collector.py
new file mode 100644
index 0000000..cf93cc7
--- /dev/null
+++ b/daemons/tick_collector.py
@@ -0,0 +1,118 @@
+"""30초마다 전 종목 현재가를 Oracle price_tick 테이블에 적재.
++ 60초마다 backtest_ohlcv 1분봉 최신 데이터 갱신.
+"""
+import sys, os, time, logging
+from datetime import datetime
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+from dotenv import load_dotenv
+load_dotenv(os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), '.env'))
+
+import pyupbit
+import oracledb
+
+TICKERS = [
+    'KRW-XRP', 'KRW-BTC', 'KRW-ETH', 'KRW-SOL', 'KRW-DOGE',
+    'KRW-ADA', 'KRW-SUI', 'KRW-NEAR', 'KRW-KAVA', 'KRW-SXP',
+    'KRW-AKT', 'KRW-SONIC', 'KRW-IP', 'KRW-ORBS', 'KRW-VIRTUAL',
+    'KRW-BARD', 'KRW-XPL', 'KRW-KITE', 'KRW-ENSO', 'KRW-0G',
+    'KRW-MANTRA', 'KRW-EDGE', 'KRW-CFG', 'KRW-ARDR', 'KRW-SIGN',
+    'KRW-AZTEC', 'KRW-ATH', 'KRW-HOLO', 'KRW-BREV', 'KRW-SHIB',
+]
+INTERVAL = 30   # 초
+OHLCV_INTERVAL = 60  # 1분봉 갱신 주기 (초)
+
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s %(levelname)s %(message)s',
+    handlers=[
+        logging.FileHandler('/tmp/tick_collector.log'),
+        logging.StreamHandler(sys.stdout),
+    ]
+)
+log = logging.getLogger(__name__)
+
+
+def get_conn():
+    kwargs = dict(user=os.environ["ORACLE_USER"], password=os.environ["ORACLE_PASSWORD"],
+                  dsn=os.environ["ORACLE_DSN"])
+    if w := os.environ.get("ORACLE_WALLET"):
+        kwargs["config_dir"] = w
+    return oracledb.connect(**kwargs)
+
+
+def collect(conn):
+    prices = pyupbit.get_current_price(TICKERS)
+    if not prices:
+        log.warning("현재가 조회 실패")
+        return
+
+    ts = datetime.now().replace(microsecond=0)
+    rows = [(t, ts, p) for t, p in prices.items() if p]
+
+    cur = conn.cursor()
+    cur.executemany(
+        "INSERT INTO price_tick (ticker, ts, price) VALUES (:1, :2, :3)",
+        rows
+    )
+    conn.commit()
+    log.info(f"적재 {len(rows)}건  ts={ts}")
+
+
+def refresh_ohlcv(conn):
+    """backtest_ohlcv 1분봉을 최근 5개씩 갱신 (중복 무시)."""
+    total = 0
+    for ticker in TICKERS:
+        try:
+            df = pyupbit.get_ohlcv(ticker, interval='minute1', count=5)
+            if df is None or df.empty:
+                continue
+            rows = [
+                (ticker, 'minute1', ts.to_pydatetime(),
+                 float(r['open']), float(r['high']), float(r['low']),
+                 float(r['close']), float(r['volume']))
+                for ts, r in df.iterrows()
+            ]
+            cur = conn.cursor()
+            cur.executemany(
+                "INSERT INTO backtest_ohlcv "
+                "(ticker,interval_cd,ts,open_p,high_p,low_p,close_p,volume_p) "
+                "VALUES (:1,:2,:3,:4,:5,:6,:7,:8)",
+                rows, batcherrors=True,
+            )
+            inserted = len(rows) - len(cur.getbatcherrors())
+            total += inserted
+            time.sleep(0.15)
+        except Exception as e:
+            log.warning(f"[ohlcv] {ticker} 오류: {e}")
+    conn.commit()
+    if total > 0:
+        log.info(f"[ohlcv] 1분봉 갱신 {total}건")
+
+
+def main():
+    log.info("=== tick_collector 시작 (30초 간격 + 1분봉 갱신) ===")
+    conn = get_conn()
+    last_ohlcv = 0
+    while True:
+        t0 = time.time()
+        try:
+            collect(conn)
+            # 1분봉 갱신 (OHLCV_INTERVAL마다)
+            if t0 - last_ohlcv >= OHLCV_INTERVAL:
+                refresh_ohlcv(conn)
+                last_ohlcv = t0
+        except oracledb.DatabaseError as e:
+            log.error(f"DB 오류: {e} — 재연결")
+            try: conn.close()
+            except: pass
+            conn = get_conn()
+        except Exception as e:
+            log.error(f"오류: {e}")
+
+        elapsed = time.time() - t0
+        time.sleep(max(1.0, INTERVAL - elapsed))
+
+
+if __name__ == '__main__':
+    main()
diff --git a/daemons/tick_trader.py b/daemons/tick_trader.py
new file mode 100644
index 0000000..b163811
--- /dev/null
+++ b/daemons/tick_trader.py
@@ -0,0 +1,591 @@
+"""WebSocket 기반 20초봉 트레이더.
+
+구조:
+  WebSocket → trade tick 수신 → 20초봉 집계 → 3봉 가속 시그널(VOL≥8x) → cascade 청산
+
+cascade (초 기준):
+  ①   0~  40초: +2.0%  지정가
+  ②  40~ 100초: +1.0%  지정가
+  ③ 100~ 300초: +0.5%  지정가
+  ④ 300~3500초: +0.1%  지정가
+  ⑤ 3500초~: Trail Stop 0.8% 시장가
+
+실행:
+    .venv/bin/python3 daemons/tick_trader.py
+로그:
+    /tmp/tick_trader.log
+"""
+import sys, os, time, logging, threading, requests, math
+from datetime import datetime, timedelta
+from collections import deque, defaultdict
+from typing import Optional
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+from dotenv import load_dotenv
+load_dotenv(os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), '.env'))
+
+from core.llm_advisor import get_exit_price
+
+import pyupbit
+
+# ── 전략 파라미터 ──────────────────────────────────────────────────────────────
+TICKERS = [
+    'KRW-XRP', 'KRW-BTC', 'KRW-ETH', 'KRW-SOL', 'KRW-DOGE',
+    'KRW-ADA', 'KRW-SUI', 'KRW-NEAR', 'KRW-KAVA', 'KRW-SXP',
+    'KRW-AKT', 'KRW-SONIC', 'KRW-IP', 'KRW-ORBS', 'KRW-VIRTUAL',
+    'KRW-BARD', 'KRW-XPL', 'KRW-KITE', 'KRW-ENSO', 'KRW-0G',
+    'KRW-MANTRA', 'KRW-EDGE', 'KRW-CFG', 'KRW-ARDR', 'KRW-SIGN',
+    'KRW-AZTEC', 'KRW-ATH', 'KRW-HOLO', 'KRW-BREV', 'KRW-SHIB',
+]
+
+BAR_SEC      = 20       # 봉 주기 (초)
+VOL_LOOKBACK = 61       # 거래량 평균 기준 봉 수
+ATR_LOOKBACK = 28       # ATR 계산 봉 수
+VOL_MIN      = 8.0      # 거래량 배수 임계값
+
+MAX_POS      = int(os.environ.get('MAX_POSITIONS', 3))
+PER_POS      = int(os.environ.get('MAX_BUDGET', 15_000_000)) // MAX_POS
+FEE          = 0.0005
+
+# cascade 청산 (초 기준) — 지정가 매도
+CASCADE_STAGES = [
+    (0,    40,   0.020, '①'),   # 2봉
+    (40,   100,  0.010, '②'),   # 3봉
+    (100,  300,  0.005, '③'),   # 10봉
+    (300,  3500, 0.001, '④'),   # 160봉
+]
+TRAIL_STOP_R  = 0.008
+TIMEOUT_SECS  = 14400   # 4시간
+LLM_INTERVAL  = 60      # LLM 호출 간격 (초)
+LLM_MIN_ELAPSED = 60    # 진입 후 최소 N초 이후부터 LLM 활성
+
+SIM_MODE = os.environ.get('SIMULATION_MODE', 'true').lower() == 'true'
+
+upbit_client = pyupbit.Upbit(os.environ['ACCESS_KEY'], os.environ['SECRET_KEY'])
+
+TG_TOKEN   = os.environ.get('TELEGRAM_TRADE_TOKEN', '')
+TG_CHAT_ID = os.environ.get('TELEGRAM_CHAT_ID', '')
+
+# ── 로깅 ──────────────────────────────────────────────────────────────────────
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s %(levelname)s %(message)s',
+    handlers=[
+        logging.FileHandler('/tmp/tick_trader.log'),
+    ]
+)
+log = logging.getLogger(__name__)
+
+
+def tg(msg: str) -> None:
+    if not TG_TOKEN or not TG_CHAT_ID:
+        return
+    try:
+        requests.post(
+            f'https://api.telegram.org/bot{TG_TOKEN}/sendMessage',
+            json={'chat_id': TG_CHAT_ID, 'text': msg, 'parse_mode': 'HTML'},
+            timeout=5,
+        )
+    except Exception as e:
+        log.warning(f'Telegram 전송 실패: {e}')
+
+
+# ── 20초봉 집계 ───────────────────────────────────────────────────────────────
+bars:    dict = defaultdict(lambda: deque(maxlen=VOL_LOOKBACK + 10))
+cur_bar: dict = {}
+bar_lock      = threading.Lock()
+
+
+def _new_bar(price: float, volume: float, ts: datetime) -> dict:
+    return {'open': price, 'high': price, 'low': price,
+            'close': price, 'volume': volume, 'ts': ts}
+
+
+def on_tick(ticker: str, price: float, volume: float) -> None:
+    with bar_lock:
+        if ticker not in cur_bar:
+            cur_bar[ticker] = _new_bar(price, volume, datetime.now())
+            return
+        b = cur_bar[ticker]
+        b['high']   = max(b['high'], price)
+        b['low']    = min(b['low'],  price)
+        b['close']  = price
+        b['volume'] += volume
+
+
+def finalize_bars() -> None:
+    """BAR_SEC마다 봉 확정 + 지정가 체결 확인."""
+    while True:
+        time.sleep(BAR_SEC)
+        now = datetime.now()
+        with bar_lock:
+            for ticker in list(cur_bar.keys()):
+                b = cur_bar[ticker]
+                if b['volume'] == 0:
+                    continue
+                bars[ticker].append(b)
+                cur_bar[ticker] = _new_bar(b['close'], 0, now)
+                check_and_enter(ticker)
+        # 봉 확정 후 지정가 체결 확인 (bar_lock 밖에서)
+        check_filled_positions()
+
+
+# ── 지표 계산 ─────────────────────────────────────────────────────────────────
+def calc_vr(bar_list: list, idx: int) -> float:
+    start    = max(0, idx - VOL_LOOKBACK)
+    end      = max(0, idx - 2)
+    baseline = [bar_list[i]['volume'] for i in range(start, end)]
+    if not baseline:
+        return 0.0
+    avg = sum(baseline) / len(baseline)
+    return bar_list[idx]['volume'] / avg if avg > 0 else 0.0
+
+
+def calc_atr(bar_list: list) -> float:
+    if len(bar_list) < ATR_LOOKBACK + 2:
+        return 0.0
+    trs = []
+    for i in range(-ATR_LOOKBACK - 1, -1):
+        b  = bar_list[i]
+        bp = bar_list[i - 1]
+        tr = max(b['high'] - b['low'],
+                 abs(b['high'] - bp['close']),
+                 abs(b['low']  - bp['close']))
+        trs.append(tr)
+    prev_close = bar_list[-2]['close']
+    return (sum(trs) / len(trs)) / prev_close if prev_close > 0 else 0.0
+
+
+# ── 시그널 감지 ───────────────────────────────────────────────────────────────
+def check_and_enter(ticker: str) -> None:
+    bar_list = list(bars[ticker])
+    n = len(bar_list)
+
+    if n < VOL_LOOKBACK + 5:
+        return
+    if ticker in positions:
+        return
+    if len(positions) >= MAX_POS:
+        return
+
+    b0, b1, b2 = bar_list[-3], bar_list[-2], bar_list[-1]
+
+    if not all(b['close'] > b['open'] for b in [b0, b1, b2]):
+        return
+    if not (b2['close'] > b1['close'] > b0['close']):
+        return
+
+    vr2 = calc_vr(bar_list, n - 1)
+    vr1 = calc_vr(bar_list, n - 2)
+    vr0 = calc_vr(bar_list, n - 3)
+
+    if vr2 < VOL_MIN or not (vr2 > vr1 > vr0):
+        return
+
+    atr_raw     = calc_atr(bar_list)
+    entry_price = b2['close']
+
+    log.info(f"[시그널] {ticker} {entry_price:,.0f}원  vol {vr2:.1f}x")
+    tg(
+        f"🔔 <b>시그널</b> {ticker}\n"
+        f"가격: {b0['close']:,.0f}→{b1['close']:,.0f}→{b2['close']:,.0f}\n"
+        f"볼륨: {vr0:.1f}x→{vr1:.1f}x→{vr2:.1f}x"
+    )
+    enter_position(ticker, entry_price, atr_raw, [vr0, vr1, vr2])
+
+
+# ── 주문 ──────────────────────────────────────────────────────────────────────
+def do_buy(ticker: str) -> tuple:
+    """시장가 매수. Returns (qty, avg_price)."""
+    if SIM_MODE:
+        price = pyupbit.get_current_price(ticker)
+        qty   = PER_POS * (1 - FEE) / price
+        log.info(f"[SIM 매수] {ticker} {PER_POS:,}원 → {qty:.6f}개 @ {price:,.0f}")
+        return qty, price
+    try:
+        order = upbit_client.buy_market_order(ticker, PER_POS)
+        if not order or 'error' in str(order):
+            log.error(f"매수 실패: {order}")
+            return None, None
+        uuid = order.get('uuid')
+        time.sleep(1.5)
+        qty = upbit_client.get_balance(ticker.split('-')[1])
+        avg_price = _avg_price_from_order(uuid) if uuid else None
+        if not avg_price:
+            avg_price = pyupbit.get_current_price(ticker)
+        return (qty if qty and qty > 0 else None), avg_price
+    except Exception as e:
+        log.error(f"매수 오류 {ticker}: {e}")
+        return None, None
+
+
+def _round_price(price: float) -> float:
+    """Upbit 주문가격 단위로 내림 처리 (invalid_price_ask 방지)."""
+    if price >= 2_000_000:   unit = 1000
+    elif price >= 1_000_000: unit = 500
+    elif price >= 500_000:   unit = 100
+    elif price >= 100_000:   unit = 50
+    elif price >= 10_000:    unit = 10
+    elif price >= 1_000:     unit = 5
+    elif price >= 100:       unit = 1
+    elif price >= 10:        unit = 0.1
+    else:                    unit = 0.01
+    return math.floor(price / unit) * unit
+
+
+def submit_limit_sell(ticker: str, qty: float, price: float) -> Optional[str]:
+    """지정가 매도 주문. Returns UUID."""
+    price = _round_price(price)
+    if SIM_MODE:
+        return f"sim-{ticker}"
+    try:
+        order = upbit_client.sell_limit_order(ticker, price, qty)
+        if not order or 'error' in str(order):
+            log.error(f"지정가 매도 제출 실패: {order}")
+            return None
+        return order.get('uuid')
+    except Exception as e:
+        log.error(f"지정가 매도 오류 {ticker}: {e}")
+        return None
+
+
+def cancel_order_safe(uuid: Optional[str]) -> None:
+    if SIM_MODE or not uuid or uuid.startswith('sim-'):
+        return
+    try:
+        upbit_client.cancel_order(uuid)
+    except Exception as e:
+        log.warning(f"주문 취소 실패 {uuid}: {e}")
+
+
+def check_order_state(uuid: str) -> tuple:
+    """Returns (state, avg_price). state: 'done'|'wait'|'cancel'|None"""
+    try:
+        detail = upbit_client.get_order(uuid)
+        if not detail:
+            return None, None
+        state     = detail.get('state')
+        avg_price = float(detail.get('avg_price') or 0) or None
+        return state, avg_price
+    except Exception as e:
+        log.warning(f"주문 조회 실패 {uuid}: {e}")
+        return None, None
+
+
+def _avg_price_from_order(uuid: str) -> Optional[float]:
+    try:
+        detail = upbit_client.get_order(uuid)
+        if not detail:
+            return None
+        trades = detail.get('trades', [])
+        if trades:
+            total_funds = sum(float(t['funds']) for t in trades)
+            total_vol   = sum(float(t['volume']) for t in trades)
+            return total_funds / total_vol if total_vol > 0 else None
+        avg = detail.get('avg_price')
+        return float(avg) if avg else None
+    except Exception as e:
+        log.warning(f"체결가 조회 실패 {uuid}: {e}")
+    return None
+
+
+def do_sell_market(ticker: str, qty: float) -> Optional[float]:
+    """Trail Stop / Timeout용 시장가 매도."""
+    if SIM_MODE:
+        price = pyupbit.get_current_price(ticker)
+        log.info(f"[SIM 시장가매도] {ticker} {qty:.6f}개 @ {price:,.0f}")
+        return price
+    try:
+        order = upbit_client.sell_market_order(ticker, qty)
+        if not order or 'error' in str(order):
+            log.error(f"시장가 매도 실패: {order}")
+            return None
+        uuid = order.get('uuid')
+        time.sleep(1.5)
+        avg_price = _avg_price_from_order(uuid) if uuid else None
+        return avg_price or pyupbit.get_current_price(ticker)
+    except Exception as e:
+        log.error(f"시장가 매도 오류 {ticker}: {e}")
+        return None
+
+
+# ── 포지션 관리 ───────────────────────────────────────────────────────────────
+positions: dict = {}
+
+
+def enter_position(ticker: str, entry_price: float, atr_raw: float, vr: list) -> None:
+    qty, actual_price = do_buy(ticker)
+    if qty is None:
+        log.warning(f"[진입 실패] {ticker}")
+        return
+
+    entry_price = actual_price or entry_price
+
+    # ① 지정가 매도 즉시 제출
+    _, _, lr, tag = CASCADE_STAGES[0]
+    target = entry_price * (1 + lr)
+    sell_uuid = submit_limit_sell(ticker, qty, target)
+
+    positions[ticker] = {
+        'entry_price':  entry_price,
+        'entry_ts':     datetime.now(),
+        'running_peak': entry_price,
+        'qty':          qty,
+        'stage':        0,
+        'sell_uuid':    sell_uuid,
+        'sell_price':   target,
+        'llm_last_ts':  None,       # LLM 마지막 호출 시각
+    }
+    log.info(f"[진입] {ticker} {entry_price:,.0f}원  vol {vr[2]:.1f}x  "
+             f"지정가 {tag} {target:,.0f}원")
+    tg(
+        f"🟢 <b>매수</b> {ticker}\n"
+        f"체결가: {entry_price:,.0f}원  수량: {qty:.6f}\n"
+        f"지정가 매도 제출: {tag} {target:,.0f}원 (+{lr*100:.1f}%)\n"
+        f"{'[시뮬]' if SIM_MODE else '[실거래]'}"
+    )
+
+
+def _advance_stage(ticker: str) -> None:
+    """다음 cascade 단계로 전환. 기존 지정가 취소 후 재주문."""
+    pos        = positions[ticker]
+    cancel_order_safe(pos.get('sell_uuid'))
+    next_stage = pos['stage'] + 1
+    pos['stage'] = next_stage
+
+    if next_stage < len(CASCADE_STAGES):
+        _, _, lr, tag = CASCADE_STAGES[next_stage]
+        target = pos['entry_price'] * (1 + lr)
+        uuid   = submit_limit_sell(ticker, pos['qty'], target)
+        pos['sell_uuid']  = uuid
+        pos['sell_price'] = target
+        log.info(f"[단계전환] {ticker} → {tag}  목표가 {target:,.0f}원")
+    else:
+        pos['sell_uuid']  = None
+        pos['sell_price'] = None
+        log.info(f"[단계전환] {ticker} → ⑤ Trail Stop")
+
+
+def _record_exit(ticker: str, exit_price: float, tag: str) -> None:
+    """체결 완료 후 포지션 종료 처리."""
+    pos  = positions[ticker]
+    pnl  = (exit_price - pos['entry_price']) / pos['entry_price'] * 100
+    krw  = PER_POS * (pnl / 100) - PER_POS * FEE * 2
+    held = int((datetime.now() - pos['entry_ts']).total_seconds())
+
+    reason_tag = {
+        '①': '① +2.0% 익절', '②': '② +1.0% 익절',
+        '③': '③ +0.5% 익절', '④': '④ +0.1% 본전',
+        'trail': '⑤ 트레일스탑', 'timeout': '⑤ 타임아웃',
+    }.get(tag, tag)
+
+    icon = "✅" if pnl > 0 else "🔴"
+    log.info(f"[청산/{tag}] {ticker} {exit_price:,.0f}원  PNL {pnl:+.2f}%  {krw:+,.0f}원  {held}초 보유")
+    tg(
+        f"{icon} <b>청산</b> {ticker} [{reason_tag}]\n"
+        f"진입: {pos['entry_price']:,.0f}원\n"
+        f"청산: {exit_price:,.0f}원\n"
+        f"PNL: <b>{pnl:+.2f}%</b>  ({krw:+,.0f}원)  {held}초 보유\n"
+        f"{'[시뮬]' if SIM_MODE else '[실거래]'}"
+    )
+    del positions[ticker]
+
+
+def _should_call_llm(pos: dict, elapsed: float) -> bool:
+    """LLM 호출 조건: 진입 후 LLM_MIN_ELAPSED 초 경과 + LLM_INTERVAL 간격."""
+    if elapsed < LLM_MIN_ELAPSED:
+        return False
+    last = pos.get('llm_last_ts')
+    if last is None:
+        return True
+    return (datetime.now() - last).total_seconds() >= LLM_INTERVAL
+
+
+def check_filled_positions() -> None:
+    """20초마다 지정가 체결 확인.
+
+    흐름:
+      1. 체결 완료 확인
+      2. LLM 어드바이저 호출 (1분 주기) → 목표가 반환 시 주문 교체
+      3. LLM hold/오류 시 cascade fallback (단계 시간 초과 → 다음 단계)
+    """
+    for ticker in list(positions.keys()):
+        if ticker not in positions:
+            continue
+        pos     = positions[ticker]
+        uuid    = pos.get('sell_uuid')
+        elapsed = (datetime.now() - pos['entry_ts']).total_seconds()
+
+        if uuid is None:
+            # Trail Stop 구간 — update_positions(tick)에서 처리
+            continue
+
+        stage = pos['stage']
+        _, end, _, tag = CASCADE_STAGES[stage]
+        bar_list = list(bars.get(ticker, []))
+
+        if SIM_MODE:
+            # SIM: 최근 봉 고가가 목표가 이상이면 체결
+            if bar_list and bar_list[-1]['high'] >= pos['sell_price']:
+                _record_exit(ticker, pos['sell_price'], tag)
+                continue
+        else:
+            # 실거래: API로 체결 확인
+            state, avg_price = check_order_state(uuid)
+            if state == 'done':
+                _record_exit(ticker, avg_price or pos['sell_price'], tag)
+                continue
+            if state in ('cancel', None):
+                _advance_stage(ticker)
+                continue
+
+        # ── LLM 어드바이저 (primary) ──────────────────────────────────────
+        if _should_call_llm(pos, elapsed):
+            pos['llm_last_ts'] = datetime.now()
+            current_price = bar_list[-1]['close'] if bar_list else pos['sell_price']
+            new_price = get_exit_price(ticker, pos, bar_list, current_price)
+            if new_price is not None:
+                cancel_order_safe(uuid)
+                new_uuid = submit_limit_sell(ticker, pos['qty'], new_price)
+                pos['sell_uuid']  = new_uuid
+                pos['sell_price'] = new_price
+                pos['llm_active'] = True
+                continue
+            else:
+                pos['llm_active'] = False
+
+        # ── Cascade fallback: LLM 실패 시에만 단계 전환 ──────────────────
+        if not pos.get('llm_active') and elapsed >= end:
+            _advance_stage(ticker)
+
+
+def update_positions(current_prices: dict) -> None:
+    """tick마다 Trail Stop / Timeout 체크 — ③ 종료(300s) 이후에만 동작."""
+    stage3_end = CASCADE_STAGES[2][1]   # 300초
+
+    for ticker in list(positions.keys()):
+        if ticker not in current_prices:
+            continue
+        pos     = positions[ticker]
+        price   = current_prices[ticker]
+        elapsed = (datetime.now() - pos['entry_ts']).total_seconds()
+
+        # ③ 이전: peak 추적 안 함, Trail Stop 비활성
+        if elapsed < stage3_end:
+            continue
+
+        # ③ 종료 직후 첫 틱: peak을 현재가로 초기화 (진입가 기준 제거)
+        if not pos.get('trail_peak_set'):
+            pos['running_peak']   = price
+            pos['trail_peak_set'] = True
+        else:
+            pos['running_peak'] = max(pos['running_peak'], price)
+
+        # 지정가 주문 중이면 Trail Stop 비활성
+        if pos.get('sell_uuid') is not None:
+            continue
+
+        drop = (pos['running_peak'] - price) / pos['running_peak']
+
+        if drop >= TRAIL_STOP_R:
+            exit_price = do_sell_market(ticker, pos['qty']) or price
+            _record_exit(ticker, exit_price, 'trail')
+        elif elapsed >= TIMEOUT_SECS and price <= pos['entry_price']:
+            exit_price = do_sell_market(ticker, pos['qty']) or price
+            _record_exit(ticker, exit_price, 'timeout')
+
+
+# ── 메인 ──────────────────────────────────────────────────────────────────────
+def preload_bars() -> None:
+    need_min = (VOL_LOOKBACK + 10) // 3 + 1
+    log.info(f"[사전적재] REST API 1분봉 {need_min}개로 bars[] 초기화 중...")
+    loaded = 0
+    for ticker in TICKERS:
+        for attempt in range(3):
+            try:
+                df = pyupbit.get_ohlcv(ticker, interval='minute1', count=need_min)
+                if df is None or df.empty:
+                    time.sleep(0.5)
+                    continue
+                with bar_lock:
+                    for _, row in df.iterrows():
+                        o, h, l, c = float(row['open']), float(row['high']), float(row['low']), float(row['close'])
+                        v3 = float(row['volume']) / 3
+                        ts = row.name.to_pydatetime()
+                        for _ in range(3):
+                            bars[ticker].append({'open': o, 'high': h, 'low': l, 'close': c, 'volume': v3, 'ts': ts})
+                loaded += 1
+                break
+            except Exception as e:
+                log.warning(f"[사전적재] {ticker} 시도{attempt+1} 실패: {e}")
+                time.sleep(1)
+        time.sleep(0.2)
+    log.info(f"[사전적재] 완료 {loaded}/{len(TICKERS)} 티커")
+
+
+def main():
+    mode = "🔴 실거래" if not SIM_MODE else "🟡 시뮬레이션"
+    log.info(f"=== tick_trader 시작 ({mode}) ===")
+    log.info(f"봉주기: 20초  |  VOL >= {VOL_MIN}x  |  포지션 최대 {MAX_POS}개  |  1개당 {PER_POS:,}원")
+    stage_nums = ['①','②','③','④','⑤','⑥']
+    stage_desc = '  →  '.join(
+        f"{stage_nums[i]} {s[1]}초 +{s[2]*100:.1f}%" for i, s in enumerate(CASCADE_STAGES)
+    )
+    log.info(f"청산: {stage_desc}  →  {stage_nums[len(CASCADE_STAGES)]} Trail -{TRAIL_STOP_R*100:.1f}%  (지정가→시장가)")
+    tg(
+        f"🚀 <b>tick_trader 시작</b> ({mode})\n"
+        f"봉주기 20초  |  VOL ≥ {VOL_MIN}x  |  최대 {MAX_POS}포지션\n"
+        f"① 40초  +2.0%  지정가\n"
+        f"② 100초 +1.0%  지정가\n"
+        f"③ 700초 +0.5%  지정가\n"
+        f"④ 3100초 +0.1% 지정가\n"
+        f"⑤ Trail -{TRAIL_STOP_R*100:.1f}%  시장가"
+    )
+
+    preload_bars()
+
+    t = threading.Thread(target=finalize_bars, daemon=True)
+    t.start()
+
+    ws = pyupbit.WebSocketManager("trade", TICKERS)
+    log.info("WebSocket 연결됨")
+
+    last_pos_log = time.time()
+
+    while True:
+        try:
+            data = ws.get()
+            if data is None:
+                continue
+
+            ticker = data.get('code')
+            price  = data.get('trade_price')
+            volume = data.get('trade_volume')
+
+            if not ticker or price is None or volume is None:
+                continue
+
+            on_tick(ticker, float(price), float(volume))
+
+            if positions:
+                update_positions({ticker: float(price)})
+
+            if time.time() - last_pos_log > 60:
+                warmed = sum(1 for t in TICKERS if len(bars[t]) >= VOL_LOOKBACK + 5)
+                if positions:
+                    pos_lines = '  '.join(
+                        f"{t.split('-')[1]} {p['entry_price']:,.0f}→{p['running_peak']:,.0f} [{CASCADE_STAGES[p['stage']][3] if p['stage'] < len(CASCADE_STAGES) else '⑤'}]"
+                        for t, p in positions.items()
+                    )
+                    log.info(f"[상태] 포지션 {len(positions)}/{MAX_POS}  {pos_lines}")
+                else:
+                    log.info(f"[상태] 포지션 없음  ({warmed}/{len(TICKERS)} 준비완료)")
+                last_pos_log = time.time()
+
+        except Exception as e:
+            log.error(f"루프 오류: {e}")
+            time.sleep(1)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/ecosystem.config.js b/ecosystem.config.js
index 25f1ff4..52810f2 100644
--- a/ecosystem.config.js
+++ b/ecosystem.config.js
@@ -11,5 +11,38 @@ module.exports = {
       autorestart: true,
       watch: false,
     },
+    {
+      name: "tick-collector",
+      script: "daemons/tick_collector.py",
+      interpreter: ".venv/bin/python3",
+      cwd: "/Users/joungmin/workspaces/upbit-trader",
+      out_file: "logs/tick-collector.log",
+      error_file: "logs/tick-collector-error.log",
+      log_date_format: "YYYY-MM-DD HH:mm:ss",
+      autorestart: true,
+      watch: false,
+    },
+    {
+      name: "tick-trader",
+      script: "daemons/tick_trader.py",
+      interpreter: ".venv/bin/python3",
+      cwd: "/Users/joungmin/workspaces/upbit-trader",
+      out_file: "logs/tick-trader.log",
+      error_file: "logs/tick-trader-error.log",
+      log_date_format: "YYYY-MM-DD HH:mm:ss",
+      autorestart: true,
+      watch: false,
+    },
+    {
+      name: "context-collector",
+      script: "daemons/context_collector.py",
+      interpreter: ".venv/bin/python3",
+      cwd: "/Users/joungmin/workspaces/upbit-trader",
+      out_file: "logs/context-collector.log",
+      error_file: "logs/context-collector-error.log",
+      log_date_format: "YYYY-MM-DD HH:mm:ss",
+      autorestart: true,
+      watch: false,
+    },
   ],
 };