Initial release v1.1.0

- Complete MVP for tracking Fidelity brokerage account performance
- Transaction import from CSV with deduplication
- Automatic FIFO position tracking with options support
- Real-time P&L calculations with market data caching
- Dashboard with timeframe filtering (30/90/180 days, 1 year, YTD, all time)
- Docker-based deployment with PostgreSQL backend
- React/TypeScript frontend with TailwindCSS
- FastAPI backend with SQLAlchemy ORM

Features:
- Multi-account support
- Import via CSV upload or filesystem
- Open and closed position tracking
- Balance history charting
- Performance analytics and metrics
- Top trades analysis
- Responsive UI design

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

backend/app/models/market_price.py

@@ -0,0 +1,29 @@
+"""Market price cache model for storing Yahoo Finance data."""
+from sqlalchemy import Column, Integer, String, Numeric, DateTime, Index
+from datetime import datetime
+
+from app.database import Base
+
+
+class MarketPrice(Base):
+    """
+    Cache table for market prices from Yahoo Finance.
+
+    Stores the last fetched price for each symbol to reduce API calls.
+    """
+
+    __tablename__ = "market_prices"
+
+    id = Column(Integer, primary_key=True, index=True)
+    symbol = Column(String(20), unique=True, nullable=False, index=True)
+    price = Column(Numeric(precision=20, scale=6), nullable=False)
+    fetched_at = Column(DateTime, nullable=False, default=datetime.utcnow)
+    source = Column(String(50), default="yahoo_finance")
+
+    # Index for quick lookups by symbol and freshness checks
+    __table_args__ = (
+        Index('idx_symbol_fetched', 'symbol', 'fetched_at'),
+    )
+
+    def __repr__(self):
+        return f"<MarketPrice(symbol={self.symbol}, price={self.price}, fetched_at={self.fetched_at})>"