Acerca de
This skill provides a robust validation framework for algorithmic trading portfolios to ensure that diversity constraints, such as maximum asset correlation and minimum crypto positions, are strictly enforced rather than silently ignored. By implementing the 'Fail Loudly' pattern, it catches selection logic bugs during development or optimization phases, preventing the deployment of over-correlated or unbalanced portfolios. It is particularly useful for quantitative developers working with trading environments where statistical selection integrity is critical for risk management.
