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/database.py

@@ -0,0 +1,38 @@
+"""
+Database configuration and session management.
+Provides SQLAlchemy engine and session factory.
+"""
+from sqlalchemy import create_engine
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.orm import sessionmaker
+
+from app.config import settings
+
+# Create SQLAlchemy engine
+engine = create_engine(
+    settings.database_url,
+    pool_pre_ping=True,  # Enable connection health checks
+    pool_size=10,
+    max_overflow=20
+)
+
+# Create session factory
+SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
+
+# Base class for SQLAlchemy models
+Base = declarative_base()
+
+
+def get_db():
+    """
+    Dependency function that provides a database session.
+    Automatically closes the session after the request is completed.
+
+    Yields:
+        Session: SQLAlchemy database session
+    """
+    db = SessionLocal()
+    try:
+        yield db
+    finally:
+        db.close()