Goal: Combine Python's agility with Rust's deterministic, high-performance simulation to eliminate performance bottlenecks, look-ahead bias, and poor reproducibility. Scope: Mainly crypto spot/futures ...

A modular, event-driven algorithmic trading backtester built in Python. This system utilizes a centralized event queue to process market data, strategy signals, and portfolio orders. It includes a ...