myTradeTracker/PROJECT_SUMMARY.md

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

cd /Users/chris/Desktop/fidelity
./start.sh

Access

• Frontend: http://localhost:3000
• Backend: http://localhost:8000
• API Docs: http://localhost:8000/docs

Demo Data

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)

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Status: ✅ MVP Complete and Ready for Testing Last Updated: January 2026