Repository / RESOURCE PROFILE
Python backtesting engine built on NautilusTrader for end-to-end quant research: market data ingestion/validation, microstructure calibration, single-asset and stat-arb strategy creation, walk-forward optimization, analytics, portfolio-of-strategies backtesting, and portfolio weight optimization.
Python backtesting engine built on NautilusTrader for end-to-end quant research: market data ingestion/validation, microstructure calibration, single-asset and stat-arb strategy creation, walk-forward optimization, analytics, portfolio-of-strategies backtesting, and portfolio weight optimization.
Source: GitHub API · observed Oct 11, 2026. Stars and forks are recorded counts. Repository code licenses may differ from dataset or model-weight licenses.
References explain how this resource entered the collection. They do not represent an endorsement.
TRADES is a diffusion-based generator of realistic limit-order-book market simulations for downstream trading research
Research, backtest and live trade multi-asset quantitative strategies on the world's leading open-source algorithmic trading platform, alongside 552,100 quants.
Commercial extension of VectorBT adding advanced analytics, live trading and data integrations.
