# myFidelityTracker - Project Summary ## Overview Complete MVP for tracking Fidelity brokerage account performance with transaction import, position tracking, and real-time P&L calculations. ## What's Been Built ### ✅ Backend (Python/FastAPI) - **Database Models**: Account, Transaction, Position (with junction tables) - **CSV Parser**: Fidelity-specific parser with deduplication - **Services**: - Import Service (file upload + filesystem import) - Position Tracker (FIFO matching, options support) - Performance Calculator (with Yahoo Finance integration) - **API Endpoints**: - Accounts (CRUD) - Transactions (list, filter, pagination) - Positions (open/closed, stats) - Analytics (overview, balance history, top trades) - Import (upload + filesystem) - **Database**: PostgreSQL with Alembic migrations - **Features**: Deduplication, real-time P&L, market data caching ### ✅ Frontend (React/TypeScript) - **Components**: - Dashboard (metrics cards + charts) - Account Manager (create/list/delete accounts) - Import Dropzone (drag-drop + filesystem import) - Transaction Table (filterable, sortable) - Position Cards (open/closed with P&L) - Performance Chart (balance over time) - Metrics Cards (KPIs) - **Styling**: TailwindCSS with Robinhood-inspired design - **State Management**: React Query for data fetching - **Routing**: Tab-based navigation ### ✅ Infrastructure - **Docker Compose**: Multi-container setup (postgres, backend, frontend) - **Nginx**: Reverse proxy for SPA routing + API proxying - **Multi-arch**: Supports amd64 and arm64 - **Volumes**: Persistent database + import directory - **Health Checks**: Service readiness monitoring ### ✅ Developer Experience - **Documentation**: - README.md (comprehensive guide) - QUICKSTART.md (2-minute setup) - API docs (auto-generated at /docs) - **Scripts**: - start.sh (automated startup with health checks) - stop.sh (graceful shutdown) - seed_demo_data.py (demo data loader) - **Environment**: .env.example template - **Git**: .gitignore configured ## Key Features ### Transaction Management - Import via CSV upload or filesystem - Automatic deduplication using SHA-256 hashing - Support for stocks, calls, puts - Handle assignments, expirations, rolls ### Position Tracking - Automatic FIFO matching - Multi-leg position support - Open vs. closed positions - Partial position closes - Average entry/exit prices ### Performance Analytics - Realized P&L (closed positions) - Unrealized P&L (open positions with live prices) - Win rate calculation - Average win/loss metrics - Top trades analysis - Balance history charting ### User Experience - Clean, modern UI (Robinhood-inspired) - Mobile-responsive design - Real-time data updates - Intuitive navigation - Error handling with user feedback ## Architecture ### Data Flow ``` CSV File → Parser → Deduplication → Database (Transactions) ↓ Position Tracker (FIFO) ↓ Positions DB ↓ Performance Calculator + Yahoo Finance ↓ Analytics API ↓ React Frontend ``` ### Tech Stack - **Backend**: Python 3.11, FastAPI, SQLAlchemy, PostgreSQL, Pandas, yfinance - **Frontend**: React 18, TypeScript, Vite, TailwindCSS, React Query, Recharts - **Infrastructure**: Docker, Docker Compose, Nginx ## File Structure ``` fidelity/ ├── backend/ │ ├── app/ │ │ ├── api/endpoints/ # API routes │ │ ├── models/ # Database models │ │ ├── schemas/ # Pydantic schemas │ │ ├── services/ # Business logic │ │ ├── parsers/ # CSV parsers │ │ └── utils/ # Helper functions │ ├── alembic/ # DB migrations │ ├── Dockerfile │ ├── requirements.txt │ └── seed_demo_data.py ├── frontend/ │ ├── src/ │ │ ├── components/ # React components │ │ ├── api/ # API client │ │ ├── types/ # TypeScript types │ │ └── styles/ # CSS │ ├── Dockerfile │ ├── nginx.conf │ └── package.json ├── imports/ # CSV import directory ├── docker-compose.yml ├── start.sh ├── stop.sh ├── README.md ├── QUICKSTART.md └── .env.example ``` ## Getting Started ### Quick Start ```bash cd /Users/chris/Desktop/fidelity ./start.sh ``` ### Access - Frontend: http://localhost:3000 - Backend: http://localhost:8000 - API Docs: http://localhost:8000/docs ### Demo Data ```bash cp History_for_Account_X38661988.csv imports/ docker-compose exec backend python seed_demo_data.py ``` ## Testing Checklist ### ✅ To Test 1. Start application (`./start.sh`) 2. Create account via UI 3. Import sample CSV 4. Verify transactions imported 5. Check positions calculated 6. View dashboard metrics 7. Test filters and sorting 8. Verify P&L calculations 9. Check responsive design 10. Test re-import (deduplication) ## Future Enhancements - [ ] Additional brokerages (Schwab, E*TRADE, Robinhood) - [ ] Authentication/multi-user - [ ] Tax reporting (wash sales, capital gains) - [ ] Email notifications - [ ] Dark mode - [ ] PDF export - [ ] AI trade recommendations - [ ] Backtesting ## Notes - Uses FIFO for position matching - Market data cached for 60 seconds - Options pricing uses Yahoo Finance (may not be perfect) - Designed for personal use (single-user) --- **Status**: ✅ MVP Complete and Ready for Testing **Last Updated**: January 2026