Traditional algorithmic trading is deterministic. Given the same inputs, rules, and parameters, the system would theoretically make the same decisions; behavior can be fully replayed and is easy to audit. AI agents are different—they rely on language models to understand information, evaluate situations, and generate action plans, a process that naturally carries a degree of uncertainty. Even when faced with similar market conditions, they may produce slightly different judgments.