Phase 1: - Real-time signal alerts (Discord/Telegram webhook) - Trading journal with entry/exit tracking - Position sizing calculator (Fixed/Kelly/ATR) Phase 2: - Pension asset allocation (DC/IRP 70% risk limit) - Drawdown monitoring with SVG gauge - Benchmark dashboard (portfolio vs KOSPI vs deposit) Phase 3: - Tax benefit simulation (Korean pension tax rules) - Correlation matrix heatmap - Parameter optimizer with grid search + overfit detection
Galaxis-Po
Integrated Quant Portfolio Management Application
Tech Stack
- Backend: FastAPI, Python 3.12, SQLAlchemy, PostgreSQL
- Frontend: Next.js 15, React 19, TypeScript, Tailwind CSS
- Infrastructure: Docker, Docker Compose, uv
Development
Prerequisites
- Docker & Docker Compose
- Python 3.12
- Node.js 24
- uv (Python package manager)
Quick Start
# Start all services
docker-compose up -d
# Backend only (development)
cd backend
uv sync
uv run uvicorn app.main:app --reload
# Frontend only (development)
cd frontend
npm install
npm run dev
Project Structure
galaxis-po/
├── backend/ # FastAPI backend
├── frontend/ # Next.js frontend
├── docker-compose.yml
└── docs/plans/ # Implementation plans
Description
Languages
Python
52.5%
TypeScript
47%
CSS
0.2%
Dockerfile
0.2%