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