Description

A quantitative trading infrastructure designed to automate strategy generation and backtesting while filtering for survivorship and look-ahead bias. The system evaluates multiple configurations (e.g., lookback periods, volatility targets) across crypto and traditional assets, using AI to propose logic while a separate engine calculates risk-adjusted performance and transaction costs. It emphasizes volatility targeting and portfolio correlation analysis to ensure diverse, risk-controlled capital allocation.

Descriptions, tags, and model credits may be AI-generated or inferred from public sources and can be incomplete or wrong. Learn more.