概要
The Training Archive & Model Gating System provides a robust framework for managing AI training lifecycles within algorithmic trading environments. It implements a rigorous 'APPROVED/REVIEW/DROP' gating mechanism to ensure only high-performing, consistent models reach production. By tracking metrics like Profit Factor, Consistency, and Max Drawdown, and offering built-in overfitting detection with checkpoint recommendations, this skill transforms ephemeral training outputs into a structured historical reference, preventing the deployment of unstable or overfitted strategies.
