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 ...

A lot of people want to invest, but honestly… most people are scared. If you ever looked into investing, you probably heard about “stock signals” before. Basically, traders build strategies and use ...