feat: add technical indicator and fundamentals fields to MarketSnapshot

shared/schemas/trading.py

@@ -134,6 +134,22 @@ class OHLCVBar(BaseModel):
     volume: float
 
 
+class FundamentalsSnapshot(BaseModel):
+    """Fundamental financial data for a single ticker — cached daily."""
+
+    ticker: str
+    eps_ttm: float | None = None
+    pe_ratio: float | None = None
+    peg_ratio: float | None = None
+    revenue_growth_yoy: float | None = None
+    profit_margin: float | None = None
+    debt_to_equity: float | None = None
+    market_cap: float | None = None
+    fetched_at: datetime
+
+    model_config = {"from_attributes": True}
+
+
 class MarketSnapshot(BaseModel):
     """Snapshot of market data for a single ticker — used by strategies."""
 
@@ -147,7 +163,20 @@ class MarketSnapshot(BaseModel):
     sma_20: float | None = None
     sma_50: float | None = None
     rsi: float | None = None
+    # Technical indicators — computed by MarketDataManager
+    ema_9: float | None = None
+    ema_21: float | None = None
+    sma_200: float | None = None
+    macd: float | None = None
+    macd_signal: float | None = None
+    macd_histogram: float | None = None
+    bollinger_upper: float | None = None
+    bollinger_mid: float | None = None
+    bollinger_lower: float | None = None
+    vwap: float | None = None
+    atr: float | None = None
     bars: list[dict[str, Any]] = Field(default_factory=list)
+    fundamentals: FundamentalsSnapshot | None = None
 
     model_config = {"from_attributes": True}