QuantLeague

A competitive algorithmic trading platform where users build, test, and deploy quantitative trading strategies in a real-world simulated market environment. Users code trading bots using a visual scratch-style block editor or directly in Python, then submit them to compete against peers in league-based competitions — ranked by risk-adjusted returns and evaluated through an institutional-grade backtesting engine.

The platform simulates SEC-compliant portfolio rules (pattern day trading, short-swing profit disgorgement, buying power limits) and evaluates submissions across a full suite of metrics: Sharpe ratio, maximum drawdown, alpha, beta, and total return. The goal is to make algo trading accessible and competitive for users and students at all skill levels.