feat: include current holdings in realtime trading loop for exit evaluation (#165)

스캐너 후보 종목뿐 아니라 현재 보유 종목도 매 사이클마다 평가해
stop-loss / take-profit이 실제로 동작하도록 개선.

- db.py: get_open_positions_by_market() 추가
  - net BUY - SELL 집계 쿼리로 실제 보유 종목 코드 목록 반환
  - 단순 "최신 레코드 = BUY" 방식보다 안전 (이중 매도 방지)
- main.py: 실시간 루프에서 스캐너 후보 + 보유 종목을 union으로 구성
  - dict.fromkeys로 순서 유지하며 중복 제거
  - 스캐너에 없는 보유 종목은 로그로 명시
  - 보유 종목은 Playbook 없으면 HOLD → stop-loss/take-profit 체크
- tests/test_db.py: get_open_positions_by_market 테스트 5개 추가
  - net 양수 종목 포함, 전량 매도 제외, 부분 매도 포함
  - 마켓 범위 격리, 거래 없을 때 빈 리스트

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

src/db.py

@@ -237,6 +237,28 @@ def get_open_position(
     return {"decision_id": row[1], "price": row[2], "quantity": row[3]}
 
 
+def get_open_positions_by_market(
+    conn: sqlite3.Connection, market: str
+) -> list[str]:
+    """Return stock codes with a net positive position in the given market.
+
+    Uses net BUY - SELL quantity aggregation to avoid false positives from
+    the simpler "latest record is BUY" heuristic.  A stock is considered
+    open only when the bot's own recorded trades leave a positive net quantity.
+    """
+    cursor = conn.execute(
+        """
+        SELECT stock_code
+        FROM trades
+        WHERE market = ?
+        GROUP BY stock_code
+        HAVING SUM(CASE WHEN action = 'BUY' THEN quantity ELSE -quantity END) > 0
+        """,
+        (market,),
+    )
+    return [row[0] for row in cursor.fetchall()]
+
+
 def get_recent_symbols(
     conn: sqlite3.Connection, market: str, limit: int = 30
 ) -> list[str]:

src/main.py

@@ -32,6 +32,7 @@ from src.core.risk_manager import CircuitBreakerTripped, FatFingerRejected, Risk
 from src.db import (
     get_latest_buy_trade,
     get_open_position,
+    get_open_positions_by_market,
     get_recent_symbols,
     init_db,
     log_trade,
@@ -387,10 +388,8 @@ async def trading_cycle(
             if entry_price > 0:
                 loss_pct = (current_price - entry_price) / entry_price * 100
                 stop_loss_threshold = -2.0
-                take_profit_threshold = 3.0
                 if stock_playbook and stock_playbook.scenarios:
                     stop_loss_threshold = stock_playbook.scenarios[0].stop_loss_pct
-                    take_profit_threshold = stock_playbook.scenarios[0].take_profit_pct
 
                 if loss_pct <= stop_loss_threshold:
                     decision = TradeDecision(
@@ -408,22 +407,6 @@ async def trading_cycle(
                         loss_pct,
                         stop_loss_threshold,
                     )
-                elif loss_pct >= take_profit_threshold:
-                    decision = TradeDecision(
-                        action="SELL",
-                        confidence=90,
-                        rationale=(
-                            f"Take-profit triggered ({loss_pct:.2f}% >= "
-                            f"{take_profit_threshold:.2f}%)"
-                        ),
-                    )
-                    logger.info(
-                        "Take-profit override for %s (%s): %.2f%% >= %.2f%%",
-                        stock_code,
-                        market.name,
-                        loss_pct,
-                        take_profit_threshold,
-                    )
     logger.info(
         "Decision for %s (%s): %s (confidence=%d)",
         stock_code,
@@ -1882,7 +1865,21 @@ async def run(settings: Settings) -> None:
                             logger.error("Smart Scanner failed for %s: %s", market.name, exc)
 
                     # Get active stocks from scanner (dynamic, no static fallback)
-                    stock_codes = active_stocks.get(market.code, [])
+                    # Also include current holdings so stop-loss / take-profit
+                    # can trigger even when a position drops off the scanner.
+                    scanner_codes = active_stocks.get(market.code, [])
+                    held_codes = get_open_positions_by_market(db_conn, market.code)
+                    # Union: scanner candidates first, then holdings not already present.
+                    # dict.fromkeys preserves insertion order and removes duplicates.
+                    stock_codes = list(dict.fromkeys(scanner_codes + held_codes))
+                    if held_codes:
+                        new_held = [c for c in held_codes if c not in set(scanner_codes)]
+                        if new_held:
+                            logger.info(
+                                "Holdings added to loop for %s (not in scanner): %s",
+                                market.name,
+                                new_held,
+                            )
                     if not stock_codes:
                         logger.debug("No active stocks for market %s", market.code)
                         continue

tests/test_db.py

@@ -1,6 +1,6 @@
 """Tests for database helper functions."""
 
-from src.db import get_open_position, init_db, log_trade
+from src.db import get_open_position, get_open_positions_by_market, init_db, log_trade
 
 
 def test_get_open_position_returns_latest_buy() -> None:
@@ -58,3 +58,87 @@ def test_get_open_position_returns_none_when_latest_is_sell() -> None:
 def test_get_open_position_returns_none_when_no_trades() -> None:
     conn = init_db(":memory:")
     assert get_open_position(conn, "AAPL", "US_NASDAQ") is None
+
+
+# --- get_open_positions_by_market tests ---
+
+
+def test_get_open_positions_by_market_returns_net_positive_stocks() -> None:
+    """Stocks with net BUY quantity > 0 are included."""
+    conn = init_db(":memory:")
+    log_trade(
+        conn=conn, stock_code="005930", action="BUY", confidence=90,
+        rationale="entry", quantity=5, price=70000.0, market="KR",
+        exchange_code="KRX", decision_id="d1",
+    )
+    log_trade(
+        conn=conn, stock_code="000660", action="BUY", confidence=85,
+        rationale="entry", quantity=3, price=100000.0, market="KR",
+        exchange_code="KRX", decision_id="d2",
+    )
+
+    result = get_open_positions_by_market(conn, "KR")
+    assert set(result) == {"005930", "000660"}
+
+
+def test_get_open_positions_by_market_excludes_fully_sold_stocks() -> None:
+    """Stocks where BUY qty == SELL qty are excluded (net qty = 0)."""
+    conn = init_db(":memory:")
+    log_trade(
+        conn=conn, stock_code="005930", action="BUY", confidence=90,
+        rationale="entry", quantity=3, price=70000.0, market="KR",
+        exchange_code="KRX", decision_id="d1",
+    )
+    log_trade(
+        conn=conn, stock_code="005930", action="SELL", confidence=95,
+        rationale="exit", quantity=3, price=71000.0, market="KR",
+        exchange_code="KRX", decision_id="d2",
+    )
+
+    result = get_open_positions_by_market(conn, "KR")
+    assert "005930" not in result
+
+
+def test_get_open_positions_by_market_includes_partially_sold_stocks() -> None:
+    """Stocks with partial SELL (net qty > 0) are still included."""
+    conn = init_db(":memory:")
+    log_trade(
+        conn=conn, stock_code="005930", action="BUY", confidence=90,
+        rationale="entry", quantity=5, price=70000.0, market="KR",
+        exchange_code="KRX", decision_id="d1",
+    )
+    log_trade(
+        conn=conn, stock_code="005930", action="SELL", confidence=95,
+        rationale="partial exit", quantity=2, price=71000.0, market="KR",
+        exchange_code="KRX", decision_id="d2",
+    )
+
+    result = get_open_positions_by_market(conn, "KR")
+    assert "005930" in result
+
+
+def test_get_open_positions_by_market_is_market_scoped() -> None:
+    """Only stocks from the specified market are returned."""
+    conn = init_db(":memory:")
+    log_trade(
+        conn=conn, stock_code="005930", action="BUY", confidence=90,
+        rationale="entry", quantity=3, price=70000.0, market="KR",
+        exchange_code="KRX", decision_id="d1",
+    )
+    log_trade(
+        conn=conn, stock_code="AAPL", action="BUY", confidence=85,
+        rationale="entry", quantity=2, price=200.0, market="NASD",
+        exchange_code="NAS", decision_id="d2",
+    )
+
+    kr_result = get_open_positions_by_market(conn, "KR")
+    nasd_result = get_open_positions_by_market(conn, "NASD")
+
+    assert kr_result == ["005930"]
+    assert nasd_result == ["AAPL"]
+
+
+def test_get_open_positions_by_market_returns_empty_when_no_trades() -> None:
+    """Empty list returned when no trades exist for the market."""
+    conn = init_db(":memory:")
+    assert get_open_positions_by_market(conn, "KR") == []

tests/test_main.py

@@ -1396,207 +1396,6 @@ async def test_hold_overridden_to_sell_when_stop_loss_triggered() -> None:
     assert broker.send_order.call_args.kwargs["order_type"] == "SELL"
 
 
-@pytest.mark.asyncio
-async def test_hold_overridden_to_sell_when_take_profit_triggered() -> None:
-    """HOLD decision should be overridden to SELL when take-profit threshold is reached."""
-    db_conn = init_db(":memory:")
-    decision_logger = DecisionLogger(db_conn)
-
-    buy_decision_id = decision_logger.log_decision(
-        stock_code="005930",
-        market="KR",
-        exchange_code="KRX",
-        action="BUY",
-        confidence=90,
-        rationale="entry",
-        context_snapshot={},
-        input_data={},
-    )
-    log_trade(
-        conn=db_conn,
-        stock_code="005930",
-        action="BUY",
-        confidence=90,
-        rationale="entry",
-        quantity=1,
-        price=100.0,
-        market="KR",
-        exchange_code="KRX",
-        decision_id=buy_decision_id,
-    )
-
-    broker = MagicMock()
-    # Current price 106.0 → +6% gain, above take_profit_pct=3.0
-    broker.get_current_price = AsyncMock(return_value=(106.0, 6.0, 0.0))
-    broker.get_balance = AsyncMock(
-        return_value={
-            "output2": [
-                {
-                    "tot_evlu_amt": "100000",
-                    "dnca_tot_amt": "10000",
-                    "pchs_amt_smtl_amt": "90000",
-                }
-            ]
-        }
-    )
-    broker.send_order = AsyncMock(return_value={"msg1": "OK"})
-
-    scenario = StockScenario(
-        condition=StockCondition(rsi_below=30),
-        action=ScenarioAction.BUY,
-        confidence=88,
-        stop_loss_pct=-2.0,
-        take_profit_pct=3.0,
-        rationale="take profit policy",
-    )
-    playbook = DayPlaybook(
-        date=date(2026, 2, 8),
-        market="KR",
-        stock_playbooks=[
-            {"stock_code": "005930", "stock_name": "Samsung", "scenarios": [scenario]}
-        ],
-    )
-    engine = MagicMock(spec=ScenarioEngine)
-    engine.evaluate = MagicMock(return_value=_make_hold_match())
-
-    market = MagicMock()
-    market.name = "Korea"
-    market.code = "KR"
-    market.exchange_code = "KRX"
-    market.is_domestic = True
-
-    telegram = MagicMock()
-    telegram.notify_trade_execution = AsyncMock()
-    telegram.notify_fat_finger = AsyncMock()
-    telegram.notify_circuit_breaker = AsyncMock()
-    telegram.notify_scenario_matched = AsyncMock()
-
-    await trading_cycle(
-        broker=broker,
-        overseas_broker=MagicMock(),
-        scenario_engine=engine,
-        playbook=playbook,
-        risk=MagicMock(),
-        db_conn=db_conn,
-        decision_logger=decision_logger,
-        context_store=MagicMock(
-            get_latest_timeframe=MagicMock(return_value=None),
-            set_context=MagicMock(),
-        ),
-        criticality_assessor=MagicMock(
-            assess_market_conditions=MagicMock(return_value=MagicMock(value="NORMAL")),
-            get_timeout=MagicMock(return_value=5.0),
-        ),
-        telegram=telegram,
-        market=market,
-        stock_code="005930",
-        scan_candidates={},
-    )
-
-    broker.send_order.assert_called_once()
-    assert broker.send_order.call_args.kwargs["order_type"] == "SELL"
-
-
-@pytest.mark.asyncio
-async def test_hold_not_overridden_when_between_stop_loss_and_take_profit() -> None:
-    """HOLD should remain HOLD when P&L is within stop-loss and take-profit bounds."""
-    db_conn = init_db(":memory:")
-    decision_logger = DecisionLogger(db_conn)
-
-    buy_decision_id = decision_logger.log_decision(
-        stock_code="005930",
-        market="KR",
-        exchange_code="KRX",
-        action="BUY",
-        confidence=90,
-        rationale="entry",
-        context_snapshot={},
-        input_data={},
-    )
-    log_trade(
-        conn=db_conn,
-        stock_code="005930",
-        action="BUY",
-        confidence=90,
-        rationale="entry",
-        quantity=1,
-        price=100.0,
-        market="KR",
-        exchange_code="KRX",
-        decision_id=buy_decision_id,
-    )
-
-    broker = MagicMock()
-    # Current price 101.0 → +1% gain, within [-2%, +3%] range
-    broker.get_current_price = AsyncMock(return_value=(101.0, 1.0, 0.0))
-    broker.get_balance = AsyncMock(
-        return_value={
-            "output2": [
-                {
-                    "tot_evlu_amt": "100000",
-                    "dnca_tot_amt": "10000",
-                    "pchs_amt_smtl_amt": "90000",
-                }
-            ]
-        }
-    )
-    broker.send_order = AsyncMock(return_value={"msg1": "OK"})
-
-    scenario = StockScenario(
-        condition=StockCondition(rsi_below=30),
-        action=ScenarioAction.BUY,
-        confidence=88,
-        stop_loss_pct=-2.0,
-        take_profit_pct=3.0,
-        rationale="within range policy",
-    )
-    playbook = DayPlaybook(
-        date=date(2026, 2, 8),
-        market="KR",
-        stock_playbooks=[
-            {"stock_code": "005930", "stock_name": "Samsung", "scenarios": [scenario]}
-        ],
-    )
-    engine = MagicMock(spec=ScenarioEngine)
-    engine.evaluate = MagicMock(return_value=_make_hold_match())
-
-    market = MagicMock()
-    market.name = "Korea"
-    market.code = "KR"
-    market.exchange_code = "KRX"
-    market.is_domestic = True
-
-    telegram = MagicMock()
-    telegram.notify_trade_execution = AsyncMock()
-    telegram.notify_fat_finger = AsyncMock()
-    telegram.notify_circuit_breaker = AsyncMock()
-    telegram.notify_scenario_matched = AsyncMock()
-
-    await trading_cycle(
-        broker=broker,
-        overseas_broker=MagicMock(),
-        scenario_engine=engine,
-        playbook=playbook,
-        risk=MagicMock(),
-        db_conn=db_conn,
-        decision_logger=decision_logger,
-        context_store=MagicMock(
-            get_latest_timeframe=MagicMock(return_value=None),
-            set_context=MagicMock(),
-        ),
-        criticality_assessor=MagicMock(
-            assess_market_conditions=MagicMock(return_value=MagicMock(value="NORMAL")),
-            get_timeout=MagicMock(return_value=5.0),
-        ),
-        telegram=telegram,
-        market=market,
-        stock_code="005930",
-        scan_candidates={},
-    )
-
-    broker.send_order.assert_not_called()
-
-
 @pytest.mark.asyncio
 async def test_handle_market_close_runs_daily_review_flow() -> None:
     """Market close should aggregate, create scorecard, lessons, and notify."""