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/alembic/script.py.mako

@@ -0,0 +1,25 @@
+"""${message}
+
+Revision ID: ${up_revision}
+Revises: ${down_revision | comma,n}
+Create Date: ${create_date}
+
+"""
+from typing import Sequence, Union
+from alembic import op
+import sqlalchemy as sa
+${imports if imports else ""}
+
+# revision identifiers, used by Alembic.
+revision: str = ${repr(up_revision)}
+down_revision: Union[str, None] = ${repr(down_revision)}
+branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
+depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
+
+
+def upgrade() -> None:
+    ${upgrades if upgrades else "pass"}
+
+
+def downgrade() -> None:
+    ${downgrades if downgrades else "pass"}