Atlas Trader — Quantitative experiment on crypto markets
An open-source project studying a strategy that collects funding rates on perpetual contracts, with spot hedging to reduce directional exposure.
- Market data collection and processing
- Decision engine
- Risk management and monitoring
- Backtests
- Paper-trading simulation
- APIs and monitoring interfaces
- Docker deployment
- Documenting results, the errors encountered and the strategy’s limits
Technologies: Python, FastAPI, Streamlit, SQLite, Docker.




























