feat(signal_v2-phase4): foundation — 6 env thresholds + state.signals

config.py: STOP_LOSS_PCT / TAKE_PROFIT_PCT / CHRONOS_SPREAD_THRESHOLD /
ASKING_BID_RATIO_THRESHOLD / CONFIDENCE_THRESHOLD / MIN_MOMENTUM_FOR_BUY
env vars with sensible defaults (Phase 0 spec §6.1-§6.2 values).

state.py: PollState.signals dict[ticker, signal_body] for Phase 5 input.

45 existing tests still pass.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

signal_v2/config.py

@@ -35,6 +35,24 @@ class Settings:
         )
     )
     chronos_model: str = field(default_factory=lambda: os.getenv("CHRONOS_MODEL", "amazon/chronos-2"))
+    stop_loss_pct: float = field(
+        default_factory=lambda: float(os.getenv("STOP_LOSS_PCT", "-0.07"))
+    )
+    take_profit_pct: float = field(
+        default_factory=lambda: float(os.getenv("TAKE_PROFIT_PCT", "0.15"))
+    )
+    chronos_spread_threshold: float = field(
+        default_factory=lambda: float(os.getenv("CHRONOS_SPREAD_THRESHOLD", "0.6"))
+    )
+    asking_bid_ratio_threshold: float = field(
+        default_factory=lambda: float(os.getenv("ASKING_BID_RATIO_THRESHOLD", "0.6"))
+    )
+    confidence_threshold: float = field(
+        default_factory=lambda: float(os.getenv("CONFIDENCE_THRESHOLD", "0.7"))
+    )
+    min_momentum_for_buy: str = field(
+        default_factory=lambda: os.getenv("MIN_MOMENTUM_FOR_BUY", "strong_up")
+    )
 
     @property
     def kis_is_virtual(self) -> bool:

signal_v2/state.py

@@ -14,6 +14,7 @@ class PollState:
     daily_ohlcv: dict[str, list[dict]] = field(default_factory=dict)
     chronos_predictions: dict[str, dict] = field(default_factory=dict)
     minute_momentum: dict[str, str] = field(default_factory=dict)
+    signals: dict[str, dict] = field(default_factory=dict)
     last_updated: dict[str, str] = field(default_factory=dict)
     fetch_errors: dict[str, int] = field(default_factory=dict)