feat(signal_v2-phase3b): foundation — config + state + requirements

- config.py: CHRONOS_MODEL env (default amazon/chronos-2)
- state.py: PollState extended with daily_ohlcv + chronos_predictions
  + minute_momentum
- requirements.txt: transformers + chronos-forecasting

33 existing tests still pass.

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

requirements.txt

@@ -7,3 +7,7 @@ pytest>=8.0
 pytest-asyncio>=0.23
 respx>=0.21
 websockets>=12
+# Phase 3b dependencies (Chronos-2 + ML)
+transformers>=4.40
+chronos-forecasting>=1.4
+# torch: typically already installed via V1 venv; if not, install with CUDA support manually

signal_v2/config.py

@@ -34,6 +34,7 @@ class Settings:
                       str(Path(__file__).parent.parent / "signal_v1" / "data" / "kis_token.json"))
         )
     )
+    chronos_model: str = field(default_factory=lambda: os.getenv("CHRONOS_MODEL", "amazon/chronos-2"))
 
     @property
     def kis_is_virtual(self) -> bool:

signal_v2/state.py

@@ -8,9 +8,12 @@ class PollState:
     portfolio: dict | None = None
     news_sentiment: dict | None = None
     screener_preview: dict | None = None
-    # Phase 3a additions
     minute_bars: dict[str, deque] = field(default_factory=dict)
     asking_price: dict[str, dict] = field(default_factory=dict)
+    # Phase 3b additions
+    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)
     last_updated: dict[str, str] = field(default_factory=dict)
     fetch_errors: dict[str, int] = field(default_factory=dict)