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/stock.py

@@ -0,0 +1,41 @@
+"""Stock schemas."""
+
+from typing import Optional
+from datetime import datetime
+from uuid import UUID
+from pydantic import BaseModel, Field
+
+
+class StockBase(BaseModel):
+    """Base stock schema."""
+    symbol: str = Field(..., min_length=1, max_length=20)
+    name: str = Field(..., min_length=1, max_length=255)
+    sector: Optional[str] = None
+    industry: Optional[str] = None
+    exchange: Optional[str] = None
+    country: str = "USA"
+
+
+class StockCreate(StockBase):
+    """Schema for creating a stock."""
+    pass
+
+
+class StockResponse(StockBase):
+    """Schema for stock response."""
+    id: UUID
+    market_cap: Optional[int] = None
+    is_active: bool
+    created_at: datetime
+    updated_at: datetime
+    
+    class Config:
+        from_attributes = True
+
+
+class StockWithPrice(StockResponse):
+    """Stock response with latest price data."""
+    latest_price: Optional[float] = None
+    price_change_24h: Optional[float] = None
+    price_change_percent_24h: Optional[float] = None
+    volume_24h: Optional[int] = None