NautilusTrader

NautilusTrader pairs a Rust core engine with a Python control plane via PyO3 bindings, plus Cython infrastructure components. Its central design claim is research-to-live parity: the same deterministic time model and execution semantics run in both backtesting and production, so a strategy deploys without rewriting — the property that matters most when an AI agent’s backtest is the evidence for letting it trade.

It supports nanosecond-resolution historical tick data and multi-venue backtests across crypto spot and derivatives, FX, equities, futures, options, and prediction/sports-betting markets.

Categorized here as an architecture/framework rather than an agent: it is the engine an agent runs on, not a decision-making system itself.