f818bd3290
- Add WalkForwardResult model with train/test window metrics
- Create WalkForwardEngine that reuses existing BacktestEngine
with rolling train/test window splits
- Add POST/GET /api/backtest/{id}/walkforward endpoints
- Add Walk-forward tab to backtest detail page with parameter
controls, cumulative return chart, and window results table
- Add Alembic migration for walkforward_results table
- Add 8 unit tests for window generation logic (100 total passed)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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