feat: use market_outlook to adjust BUY confidence threshold (#173)

- Import MarketOutlook at module level in main.py
- After scenario evaluation, check market_outlook and apply BUY confidence
  threshold: BEARISH→90, BULLISH→75, others→settings.CONFIDENCE_THRESHOLD
- BUY actions below the adjusted threshold are downgraded to HOLD with
  a descriptive rationale including the outlook and threshold values
- Add 5 integration tests covering bearish suppression, bearish allow,
  bullish allow, bullish suppression, and neutral default threshold

Closes #173

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

src/main.py

@@ -42,7 +42,7 @@ from src.logging.decision_logger import DecisionLogger
 from src.logging_config import setup_logging
 from src.markets.schedule import MarketInfo, get_next_market_open, get_open_markets
 from src.notifications.telegram_client import NotificationFilter, TelegramClient, TelegramCommandHandler
-from src.strategy.models import DayPlaybook
+from src.strategy.models import DayPlaybook, MarketOutlook
 from src.strategy.playbook_store import PlaybookStore
 from src.strategy.pre_market_planner import PreMarketPlanner
 from src.strategy.scenario_engine import ScenarioEngine
@@ -106,6 +106,82 @@ def _extract_symbol_from_holding(item: dict[str, Any]) -> str:
     return ""
 
 
+def _extract_held_codes_from_balance(
+    balance_data: dict[str, Any],
+    *,
+    is_domestic: bool,
+) -> list[str]:
+    """Return stock codes with a positive orderable quantity from a balance response.
+
+    Uses the broker's live output1 as the source of truth so that partial fills
+    and manual external trades are always reflected correctly.
+    """
+    output1 = balance_data.get("output1", [])
+    if isinstance(output1, dict):
+        output1 = [output1]
+    if not isinstance(output1, list):
+        return []
+
+    codes: list[str] = []
+    for holding in output1:
+        if not isinstance(holding, dict):
+            continue
+        code_key = "pdno" if is_domestic else "ovrs_pdno"
+        code = str(holding.get(code_key, "")).strip().upper()
+        if not code:
+            continue
+        if is_domestic:
+            qty = int(holding.get("ord_psbl_qty") or holding.get("hldg_qty") or 0)
+        else:
+            qty = int(holding.get("ovrs_cblc_qty") or holding.get("hldg_qty") or 0)
+        if qty > 0:
+            codes.append(code)
+    return codes
+
+
+def _extract_held_qty_from_balance(
+    balance_data: dict[str, Any],
+    stock_code: str,
+    *,
+    is_domestic: bool,
+) -> int:
+    """Extract the broker-confirmed orderable quantity for a stock.
+
+    Uses the broker's live balance response (output1) as the source of truth
+    rather than the local DB, because DB records reflect order quantity which
+    may differ from actual fill quantity due to partial fills.
+
+    Domestic fields (VTTC8434R output1):
+        pdno          — 종목코드
+        ord_psbl_qty  — 주문가능수량 (preferred: excludes unsettled)
+        hldg_qty      — 보유수량 (fallback)
+
+    Overseas fields (output1):
+        ovrs_pdno     — 종목코드
+        ovrs_cblc_qty — 해외잔고수량 (preferred)
+        hldg_qty      — 보유수량 (fallback)
+    """
+    output1 = balance_data.get("output1", [])
+    if isinstance(output1, dict):
+        output1 = [output1]
+    if not isinstance(output1, list):
+        return 0
+
+    for holding in output1:
+        if not isinstance(holding, dict):
+            continue
+        code_key = "pdno" if is_domestic else "ovrs_pdno"
+        held_code = str(holding.get(code_key, "")).strip().upper()
+        if held_code != stock_code.strip().upper():
+            continue
+        if is_domestic:
+            qty = int(holding.get("ord_psbl_qty") or holding.get("hldg_qty") or 0)
+        else:
+            qty = int(holding.get("ovrs_cblc_qty") or holding.get("hldg_qty") or 0)
+        return qty
+    return 0
+
+
 def _determine_order_quantity(
     *,
     action: str,
@@ -113,10 +189,11 @@ def _determine_order_quantity(
     total_cash: float,
     candidate: ScanCandidate | None,
     settings: Settings | None,
+    broker_held_qty: int = 0,
 ) -> int:
     """Determine order quantity using volatility-aware position sizing."""
-    if action != "BUY":
-        return 1
+    if action == "SELL":
+        return broker_held_qty
     if current_price <= 0 or total_cash <= 0:
         return 0
 
@@ -380,6 +457,34 @@ async def trading_cycle(
     )
     stock_playbook = playbook.get_stock_playbook(stock_code)
 
+    # 2.1. Apply market_outlook-based BUY confidence threshold
+    if decision.action == "BUY":
+        base_threshold = (settings.CONFIDENCE_THRESHOLD if settings else 80)
+        outlook = playbook.market_outlook
+        if outlook == MarketOutlook.BEARISH:
+            min_confidence = 90
+        elif outlook == MarketOutlook.BULLISH:
+            min_confidence = 75
+        else:
+            min_confidence = base_threshold
+        if match.confidence < min_confidence:
+            logger.info(
+                "BUY suppressed for %s (%s): confidence %d < %d (market_outlook=%s)",
+                stock_code,
+                market.name,
+                match.confidence,
+                min_confidence,
+                outlook.value,
+            )
+            decision = TradeDecision(
+                action="HOLD",
+                confidence=match.confidence,
+                rationale=(
+                    f"BUY confidence {match.confidence} < {min_confidence} "
+                    f"(market_outlook={outlook.value})"
+                ),
+            )
+
     if decision.action == "HOLD":
         open_position = get_open_position(db_conn, stock_code, market.code)
         if open_position:
@@ -484,12 +589,20 @@ async def trading_cycle(
     trade_price = current_price
     trade_pnl = 0.0
     if decision.action in ("BUY", "SELL"):
+        broker_held_qty = (
+            _extract_held_qty_from_balance(
+                balance_data, stock_code, is_domestic=market.is_domestic
+            )
+            if decision.action == "SELL"
+            else 0
+        )
         quantity = _determine_order_quantity(
             action=decision.action,
             current_price=current_price,
             total_cash=total_cash,
             candidate=candidate,
             settings=settings,
+            broker_held_qty=broker_held_qty,
         )
         if quantity <= 0:
             logger.info(
@@ -909,12 +1022,20 @@ async def run_daily_session(
             trade_pnl = 0.0
             order_succeeded = True
             if decision.action in ("BUY", "SELL"):
+                daily_broker_held_qty = (
+                    _extract_held_qty_from_balance(
+                        balance_data, stock_code, is_domestic=market.is_domestic
+                    )
+                    if decision.action == "SELL"
+                    else 0
+                )
                 quantity = _determine_order_quantity(
                     action=decision.action,
                     current_price=stock_data["current_price"],
                     total_cash=total_cash,
                     candidate=candidate_map.get(stock_code),
                     settings=settings,
+                    broker_held_qty=daily_broker_held_qty,
                 )
                 if quantity <= 0:
                     logger.info(
@@ -1881,8 +2002,38 @@ async def run(settings: Settings) -> None:
                         except Exception as exc:
                             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, [])
+                    # Get active stocks from scanner (dynamic, no static fallback).
+                    # Also include currently-held positions so stop-loss /
+                    # take-profit can fire even when a holding drops off the
+                    # scanner.  Broker balance is the source of truth here —
+                    # unlike the local DB it reflects actual fills and any
+                    # manual trades done outside the bot.
+                    scanner_codes = active_stocks.get(market.code, [])
+                    try:
+                        if market.is_domestic:
+                            held_balance = await broker.get_balance()
+                        else:
+                            held_balance = await overseas_broker.get_overseas_balance(
+                                market.exchange_code
+                            )
+                        held_codes = _extract_held_codes_from_balance(
+                            held_balance, is_domestic=market.is_domestic
+                        )
+                    except Exception as exc:
+                        logger.warning(
+                            "Failed to fetch holdings for %s: %s — skipping holdings merge",
+                            market.name, exc,
+                        )
+                        held_codes = []
+
+                    stock_codes = list(dict.fromkeys(scanner_codes + held_codes))
+                    extra_held = [c for c in held_codes if c not in set(scanner_codes)]
+                    if extra_held:
+                        logger.info(
+                            "Holdings added to loop for %s (not in scanner): %s",
+                            market.name, extra_held,
+                        )
+
                     if not stock_codes:
                         logger.debug("No active stocks for market %s", market.code)
                         continue

tests/test_main.py

@@ -14,6 +14,9 @@ from src.evolution.scorecard import DailyScorecard
 from src.logging.decision_logger import DecisionLogger
 from src.main import (
     _apply_dashboard_flag,
+    _determine_order_quantity,
+    _extract_held_codes_from_balance,
+    _extract_held_qty_from_balance,
     _handle_market_close,
     _run_context_scheduler,
     _run_evolution_loop,
@@ -68,6 +71,141 @@ def _make_sell_match(stock_code: str = "005930") -> ScenarioMatch:
     )
 
 
+class TestExtractHeldQtyFromBalance:
+    """Tests for _extract_held_qty_from_balance()."""
+
+    def _domestic_balance(self, stock_code: str, ord_psbl_qty: int) -> dict:
+        return {
+            "output1": [{"pdno": stock_code, "ord_psbl_qty": str(ord_psbl_qty)}],
+            "output2": [{"dnca_tot_amt": "1000000"}],
+        }
+
+    def test_domestic_returns_ord_psbl_qty(self) -> None:
+        balance = self._domestic_balance("005930", 7)
+        assert _extract_held_qty_from_balance(balance, "005930", is_domestic=True) == 7
+
+    def test_domestic_fallback_to_hldg_qty(self) -> None:
+        balance = {"output1": [{"pdno": "005930", "hldg_qty": "3"}]}
+        assert _extract_held_qty_from_balance(balance, "005930", is_domestic=True) == 3
+
+    def test_domestic_returns_zero_when_not_found(self) -> None:
+        balance = self._domestic_balance("005930", 5)
+        assert _extract_held_qty_from_balance(balance, "000660", is_domestic=True) == 0
+
+    def test_domestic_returns_zero_when_output1_empty(self) -> None:
+        balance = {"output1": [], "output2": [{}]}
+        assert _extract_held_qty_from_balance(balance, "005930", is_domestic=True) == 0
+
+    def test_overseas_returns_ovrs_cblc_qty(self) -> None:
+        balance = {"output1": [{"ovrs_pdno": "AAPL", "ovrs_cblc_qty": "10"}]}
+        assert _extract_held_qty_from_balance(balance, "AAPL", is_domestic=False) == 10
+
+    def test_overseas_fallback_to_hldg_qty(self) -> None:
+        balance = {"output1": [{"ovrs_pdno": "AAPL", "hldg_qty": "4"}]}
+        assert _extract_held_qty_from_balance(balance, "AAPL", is_domestic=False) == 4
+
+    def test_case_insensitive_match(self) -> None:
+        balance = {"output1": [{"pdno": "005930", "ord_psbl_qty": "2"}]}
+        assert _extract_held_qty_from_balance(balance, "005930", is_domestic=True) == 2
+
+
+class TestExtractHeldCodesFromBalance:
+    """Tests for _extract_held_codes_from_balance()."""
+
+    def test_returns_codes_with_positive_qty(self) -> None:
+        balance = {
+            "output1": [
+                {"pdno": "005930", "ord_psbl_qty": "5"},
+                {"pdno": "000660", "ord_psbl_qty": "3"},
+            ]
+        }
+        result = _extract_held_codes_from_balance(balance, is_domestic=True)
+        assert set(result) == {"005930", "000660"}
+
+    def test_excludes_zero_qty_holdings(self) -> None:
+        balance = {
+            "output1": [
+                {"pdno": "005930", "ord_psbl_qty": "0"},
+                {"pdno": "000660", "ord_psbl_qty": "2"},
+            ]
+        }
+        result = _extract_held_codes_from_balance(balance, is_domestic=True)
+        assert "005930" not in result
+        assert "000660" in result
+
+    def test_returns_empty_when_output1_missing(self) -> None:
+        balance: dict = {}
+        assert _extract_held_codes_from_balance(balance, is_domestic=True) == []
+
+    def test_overseas_uses_ovrs_pdno(self) -> None:
+        balance = {"output1": [{"ovrs_pdno": "AAPL", "ovrs_cblc_qty": "3"}]}
+        result = _extract_held_codes_from_balance(balance, is_domestic=False)
+        assert result == ["AAPL"]
+
+
+class TestDetermineOrderQuantity:
+    """Test _determine_order_quantity() — SELL uses broker_held_qty."""
+
+    def test_sell_returns_broker_held_qty(self) -> None:
+        result = _determine_order_quantity(
+            action="SELL",
+            current_price=105.0,
+            total_cash=50000.0,
+            candidate=None,
+            settings=None,
+            broker_held_qty=7,
+        )
+        assert result == 7
+
+    def test_sell_returns_zero_when_broker_qty_zero(self) -> None:
+        result = _determine_order_quantity(
+            action="SELL",
+            current_price=105.0,
+            total_cash=50000.0,
+            candidate=None,
+            settings=None,
+            broker_held_qty=0,
+        )
+        assert result == 0
+
+    def test_buy_without_position_sizing_returns_one(self) -> None:
+        result = _determine_order_quantity(
+            action="BUY",
+            current_price=50000.0,
+            total_cash=1000000.0,
+            candidate=None,
+            settings=None,
+        )
+        assert result == 1
+
+    def test_buy_with_zero_cash_returns_zero(self) -> None:
+        result = _determine_order_quantity(
+            action="BUY",
+            current_price=50000.0,
+            total_cash=0.0,
+            candidate=None,
+            settings=None,
+        )
+        assert result == 0
+
+    def test_buy_with_position_sizing_calculates_correctly(self) -> None:
+        settings = MagicMock(spec=Settings)
+        settings.POSITION_SIZING_ENABLED = True
+        settings.POSITION_VOLATILITY_TARGET_SCORE = 50.0
+        settings.POSITION_BASE_ALLOCATION_PCT = 10.0
+        settings.POSITION_MAX_ALLOCATION_PCT = 30.0
+        settings.POSITION_MIN_ALLOCATION_PCT = 1.0
+        # 1,000,000 * 10% = 100,000 budget // 50,000 price = 2 shares
+        result = _determine_order_quantity(
+            action="BUY",
+            current_price=50000.0,
+            total_cash=1000000.0,
+            candidate=None,
+            settings=settings,
+        )
+        assert result == 2
+
+
 class TestSafeFloat:
     """Test safe_float() helper function."""
 
@@ -1240,13 +1378,14 @@ async def test_sell_updates_original_buy_decision_outcome() -> None:
     broker.get_current_price = AsyncMock(return_value=(120.0, 0.0, 0.0))
     broker.get_balance = AsyncMock(
         return_value={
+            "output1": [{"pdno": "005930", "ord_psbl_qty": "1"}],
             "output2": [
                 {
                     "tot_evlu_amt": "100000",
                     "dnca_tot_amt": "10000",
                     "pchs_amt_smtl_amt": "90000",
                 }
-            ]
+            ],
         }
     )
     broker.send_order = AsyncMock(return_value={"msg1": "OK"})
@@ -1330,13 +1469,14 @@ async def test_hold_overridden_to_sell_when_stop_loss_triggered() -> None:
     broker.get_current_price = AsyncMock(return_value=(95.0, -5.0, 0.0))
     broker.get_balance = AsyncMock(
         return_value={
+            "output1": [{"pdno": "005930", "ord_psbl_qty": "1"}],
             "output2": [
                 {
                     "tot_evlu_amt": "100000",
                     "dnca_tot_amt": "10000",
                     "pchs_amt_smtl_amt": "90000",
                 }
-            ]
+            ],
         }
     )
     broker.send_order = AsyncMock(return_value={"msg1": "OK"})
@@ -1430,13 +1570,14 @@ async def test_hold_overridden_to_sell_when_take_profit_triggered() -> None:
     broker.get_current_price = AsyncMock(return_value=(106.0, 6.0, 0.0))
     broker.get_balance = AsyncMock(
         return_value={
+            "output1": [{"pdno": "005930", "ord_psbl_qty": "1"}],
             "output2": [
                 {
                     "tot_evlu_amt": "100000",
                     "dnca_tot_amt": "10000",
                     "pchs_amt_smtl_amt": "90000",
                 }
-            ]
+            ],
         }
     )
     broker.send_order = AsyncMock(return_value={"msg1": "OK"})
@@ -1597,6 +1738,116 @@ async def test_hold_not_overridden_when_between_stop_loss_and_take_profit() -> N
     broker.send_order.assert_not_called()
 
 
+@pytest.mark.asyncio
+async def test_sell_order_uses_broker_balance_qty_not_db() -> None:
+    """SELL quantity must come from broker balance output1, not DB.
+
+    The DB records order quantity which may differ from actual fill quantity.
+    This test verifies that we use the broker-confirmed orderable quantity.
+    """
+    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={},
+    )
+    # DB records 10 shares ordered — but only 5 actually filled (partial fill scenario)
+    log_trade(
+        conn=db_conn,
+        stock_code="005930",
+        action="BUY",
+        confidence=90,
+        rationale="entry",
+        quantity=10,  # ordered quantity (may differ from fill)
+        price=100.0,
+        market="KR",
+        exchange_code="KRX",
+        decision_id=buy_decision_id,
+    )
+
+    broker = MagicMock()
+    # Stop-loss triggers (price dropped below -2%)
+    broker.get_current_price = AsyncMock(return_value=(95.0, -5.0, 0.0))
+    broker.get_balance = AsyncMock(
+        return_value={
+            # Broker confirms only 5 shares are actually orderable (partial fill)
+            "output1": [{"pdno": "005930", "ord_psbl_qty": "5"}],
+            "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,
+        rationale="stop loss 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()
+    call_kwargs = broker.send_order.call_args.kwargs
+    assert call_kwargs["order_type"] == "SELL"
+    # Must use broker-confirmed qty (5), NOT DB-recorded ordered qty (10)
+    assert call_kwargs["quantity"] == 5
+
+
 @pytest.mark.asyncio
 async def test_handle_market_close_runs_daily_review_flow() -> None:
     """Market close should aggregate, create scorecard, lessons, and notify."""
@@ -1863,3 +2114,284 @@ def test_start_dashboard_server_enabled_starts_thread() -> None:
     assert thread == mock_thread
     mock_thread_cls.assert_called_once()
     mock_thread.start.assert_called_once()
+
+
+# ---------------------------------------------------------------------------
+# market_outlook BUY confidence threshold tests (#173)
+# ---------------------------------------------------------------------------
+
+
+class TestMarketOutlookConfidenceThreshold:
+    """Tests for market_outlook-based BUY confidence suppression in trading_cycle."""
+
+    @pytest.fixture
+    def mock_broker(self) -> MagicMock:
+        broker = MagicMock()
+        broker.get_current_price = AsyncMock(return_value=(50000.0, 1.0, 0.0))
+        broker.get_balance = AsyncMock(
+            return_value={
+                "output2": [
+                    {
+                        "tot_evlu_amt": "10000000",
+                        "dnca_tot_amt": "5000000",
+                        "pchs_amt_smtl_amt": "9500000",
+                    }
+                ]
+            }
+        )
+        broker.send_order = AsyncMock(return_value={"msg1": "OK"})
+        return broker
+
+    @pytest.fixture
+    def mock_market(self) -> MagicMock:
+        market = MagicMock()
+        market.name = "Korea"
+        market.code = "KR"
+        market.exchange_code = "KRX"
+        market.is_domestic = True
+        return market
+
+    @pytest.fixture
+    def mock_telegram(self) -> MagicMock:
+        telegram = MagicMock()
+        telegram.notify_trade_execution = AsyncMock()
+        telegram.notify_scenario_matched = AsyncMock()
+        telegram.notify_fat_finger = AsyncMock()
+        return telegram
+
+    def _make_buy_match_with_confidence(
+        self, confidence: int, stock_code: str = "005930"
+    ) -> ScenarioMatch:
+        from src.strategy.models import StockScenario
+        scenario = StockScenario(
+            condition=StockCondition(rsi_below=30),
+            action=ScenarioAction.BUY,
+            confidence=confidence,
+            allocation_pct=10.0,
+        )
+        return ScenarioMatch(
+            stock_code=stock_code,
+            matched_scenario=scenario,
+            action=ScenarioAction.BUY,
+            confidence=confidence,
+            rationale="Test buy",
+        )
+
+    def _make_playbook_with_outlook(
+        self, outlook_str: str, market: str = "KR"
+    ) -> DayPlaybook:
+        from src.strategy.models import MarketOutlook
+        outlook_map = {
+            "bearish": MarketOutlook.BEARISH,
+            "bullish": MarketOutlook.BULLISH,
+            "neutral": MarketOutlook.NEUTRAL,
+            "neutral_to_bullish": MarketOutlook.NEUTRAL_TO_BULLISH,
+            "neutral_to_bearish": MarketOutlook.NEUTRAL_TO_BEARISH,
+        }
+        return DayPlaybook(
+            date=date(2026, 2, 20),
+            market=market,
+            market_outlook=outlook_map[outlook_str],
+        )
+
+    @pytest.mark.asyncio
+    async def test_bearish_outlook_raises_buy_confidence_threshold(
+        self,
+        mock_broker: MagicMock,
+        mock_market: MagicMock,
+        mock_telegram: MagicMock,
+    ) -> None:
+        """BUY with confidence 85 should be suppressed to HOLD in bearish market."""
+        engine = MagicMock(spec=ScenarioEngine)
+        engine.evaluate = MagicMock(return_value=self._make_buy_match_with_confidence(85))
+        playbook = self._make_playbook_with_outlook("bearish")
+
+        decision_logger = MagicMock()
+        decision_logger.log_decision = MagicMock(return_value="decision-id")
+
+        with patch("src.main.log_trade"):
+            await trading_cycle(
+                broker=mock_broker,
+                overseas_broker=MagicMock(),
+                scenario_engine=engine,
+                playbook=playbook,
+                risk=MagicMock(),
+                db_conn=MagicMock(),
+                decision_logger=decision_logger,
+                context_store=MagicMock(get_latest_timeframe=MagicMock(return_value=None)),
+                criticality_assessor=MagicMock(
+                    assess_market_conditions=MagicMock(return_value=MagicMock(value="NORMAL")),
+                    get_timeout=MagicMock(return_value=5.0),
+                ),
+                telegram=mock_telegram,
+                market=mock_market,
+                stock_code="005930",
+                scan_candidates={},
+            )
+
+        # HOLD should be logged (not BUY) — check decision_logger was called with HOLD
+        call_args = decision_logger.log_decision.call_args
+        assert call_args is not None
+        assert call_args.kwargs["action"] == "HOLD"
+
+    @pytest.mark.asyncio
+    async def test_bearish_outlook_allows_high_confidence_buy(
+        self,
+        mock_broker: MagicMock,
+        mock_market: MagicMock,
+        mock_telegram: MagicMock,
+    ) -> None:
+        """BUY with confidence 92 should proceed in bearish market (threshold=90)."""
+        engine = MagicMock(spec=ScenarioEngine)
+        engine.evaluate = MagicMock(return_value=self._make_buy_match_with_confidence(92))
+        playbook = self._make_playbook_with_outlook("bearish")
+        risk = MagicMock()
+        risk.validate_order = MagicMock()
+
+        decision_logger = MagicMock()
+        decision_logger.log_decision = MagicMock(return_value="decision-id")
+
+        with patch("src.main.log_trade"):
+            await trading_cycle(
+                broker=mock_broker,
+                overseas_broker=MagicMock(),
+                scenario_engine=engine,
+                playbook=playbook,
+                risk=risk,
+                db_conn=MagicMock(),
+                decision_logger=decision_logger,
+                context_store=MagicMock(get_latest_timeframe=MagicMock(return_value=None)),
+                criticality_assessor=MagicMock(
+                    assess_market_conditions=MagicMock(return_value=MagicMock(value="NORMAL")),
+                    get_timeout=MagicMock(return_value=5.0),
+                ),
+                telegram=mock_telegram,
+                market=mock_market,
+                stock_code="005930",
+                scan_candidates={},
+            )
+
+        call_args = decision_logger.log_decision.call_args
+        assert call_args is not None
+        assert call_args.kwargs["action"] == "BUY"
+
+    @pytest.mark.asyncio
+    async def test_bullish_outlook_lowers_buy_confidence_threshold(
+        self,
+        mock_broker: MagicMock,
+        mock_market: MagicMock,
+        mock_telegram: MagicMock,
+    ) -> None:
+        """BUY with confidence 77 should proceed in bullish market (threshold=75)."""
+        engine = MagicMock(spec=ScenarioEngine)
+        engine.evaluate = MagicMock(return_value=self._make_buy_match_with_confidence(77))
+        playbook = self._make_playbook_with_outlook("bullish")
+        risk = MagicMock()
+        risk.validate_order = MagicMock()
+
+        decision_logger = MagicMock()
+        decision_logger.log_decision = MagicMock(return_value="decision-id")
+
+        with patch("src.main.log_trade"):
+            await trading_cycle(
+                broker=mock_broker,
+                overseas_broker=MagicMock(),
+                scenario_engine=engine,
+                playbook=playbook,
+                risk=risk,
+                db_conn=MagicMock(),
+                decision_logger=decision_logger,
+                context_store=MagicMock(get_latest_timeframe=MagicMock(return_value=None)),
+                criticality_assessor=MagicMock(
+                    assess_market_conditions=MagicMock(return_value=MagicMock(value="NORMAL")),
+                    get_timeout=MagicMock(return_value=5.0),
+                ),
+                telegram=mock_telegram,
+                market=mock_market,
+                stock_code="005930",
+                scan_candidates={},
+            )
+
+        call_args = decision_logger.log_decision.call_args
+        assert call_args is not None
+        assert call_args.kwargs["action"] == "BUY"
+
+    @pytest.mark.asyncio
+    async def test_bullish_outlook_suppresses_very_low_confidence_buy(
+        self,
+        mock_broker: MagicMock,
+        mock_market: MagicMock,
+        mock_telegram: MagicMock,
+    ) -> None:
+        """BUY with confidence 70 should be suppressed even in bullish market (threshold=75)."""
+        engine = MagicMock(spec=ScenarioEngine)
+        engine.evaluate = MagicMock(return_value=self._make_buy_match_with_confidence(70))
+        playbook = self._make_playbook_with_outlook("bullish")
+
+        decision_logger = MagicMock()
+        decision_logger.log_decision = MagicMock(return_value="decision-id")
+
+        with patch("src.main.log_trade"):
+            await trading_cycle(
+                broker=mock_broker,
+                overseas_broker=MagicMock(),
+                scenario_engine=engine,
+                playbook=playbook,
+                risk=MagicMock(),
+                db_conn=MagicMock(),
+                decision_logger=decision_logger,
+                context_store=MagicMock(get_latest_timeframe=MagicMock(return_value=None)),
+                criticality_assessor=MagicMock(
+                    assess_market_conditions=MagicMock(return_value=MagicMock(value="NORMAL")),
+                    get_timeout=MagicMock(return_value=5.0),
+                ),
+                telegram=mock_telegram,
+                market=mock_market,
+                stock_code="005930",
+                scan_candidates={},
+            )
+
+        call_args = decision_logger.log_decision.call_args
+        assert call_args is not None
+        assert call_args.kwargs["action"] == "HOLD"
+
+    @pytest.mark.asyncio
+    async def test_neutral_outlook_uses_default_threshold(
+        self,
+        mock_broker: MagicMock,
+        mock_market: MagicMock,
+        mock_telegram: MagicMock,
+    ) -> None:
+        """BUY with confidence 82 should proceed in neutral market (default=80)."""
+        engine = MagicMock(spec=ScenarioEngine)
+        engine.evaluate = MagicMock(return_value=self._make_buy_match_with_confidence(82))
+        playbook = self._make_playbook_with_outlook("neutral")
+        risk = MagicMock()
+        risk.validate_order = MagicMock()
+
+        decision_logger = MagicMock()
+        decision_logger.log_decision = MagicMock(return_value="decision-id")
+
+        with patch("src.main.log_trade"):
+            await trading_cycle(
+                broker=mock_broker,
+                overseas_broker=MagicMock(),
+                scenario_engine=engine,
+                playbook=playbook,
+                risk=risk,
+                db_conn=MagicMock(),
+                decision_logger=decision_logger,
+                context_store=MagicMock(get_latest_timeframe=MagicMock(return_value=None)),
+                criticality_assessor=MagicMock(
+                    assess_market_conditions=MagicMock(return_value=MagicMock(value="NORMAL")),
+                    get_timeout=MagicMock(return_value=5.0),
+                ),
+                telegram=mock_telegram,
+                market=mock_market,
+                stock_code="005930",
+                scan_candidates={},
+            )
+
+        call_args = decision_logger.log_decision.call_args
+        assert call_args is not None
+        assert call_args.kwargs["action"] == "BUY"