Initial project structure: MarketScanner - Fear-to-Fortune Trading Intelligence

Features:
- FastAPI backend with stocks, news, signals, watchlist, analytics endpoints
- React frontend with TailwindCSS dark mode trading dashboard
- Celery workers for news fetching, sentiment analysis, pattern detection
- TimescaleDB schema for time-series stock data
- Docker Compose setup for all services
- OpenAI integration for sentiment analysis

backend/app/schemas/watchlist.py

@@ -0,0 +1,42 @@
+"""Watchlist schemas."""
+
+from typing import Optional
+from datetime import datetime
+from uuid import UUID
+from pydantic import BaseModel, Field
+
+
+class WatchlistBase(BaseModel):
+    """Base watchlist schema."""
+    panic_alert_threshold: float = -50.0
+    price_alert_low: Optional[float] = None
+    price_alert_high: Optional[float] = None
+    priority: int = Field(1, ge=1, le=3)
+    notes: Optional[str] = None
+
+
+class WatchlistCreate(WatchlistBase):
+    """Schema for creating a watchlist item."""
+    symbol: str
+
+
+class WatchlistUpdate(BaseModel):
+    """Schema for updating a watchlist item."""
+    panic_alert_threshold: Optional[float] = None
+    price_alert_low: Optional[float] = None
+    price_alert_high: Optional[float] = None
+    priority: Optional[int] = Field(None, ge=1, le=3)
+    notes: Optional[str] = None
+    is_active: Optional[bool] = None
+
+
+class WatchlistResponse(WatchlistBase):
+    """Schema for watchlist response."""
+    id: UUID
+    stock_id: UUID
+    is_active: bool
+    created_at: datetime
+    updated_at: datetime
+    
+    class Config:
+        from_attributes = True