When uncertainty becomes operational.
Many important failures are not caused by lack of data. They are caused by poor interpretation under pressure. This domain includes systems that organize context, probability, perception, and decision quality when the environment is noisy, adversarial, or emotionally charged.
MPA currently occupies the most visible portion of this territory, but the domain extends beyond financial markets into any environment where human judgment must operate against uncertainty. Future applications may include analytical assistants, signal interpretation tools, risk-context systems, and decision-support frameworks outside trading.
The practical question is not whether more information can be gathered. It is whether the operator can understand what kind of environment they are in before action becomes costly.