Traditional algorithmic trading is deterministic. Given the same inputs, rules, and parameters, the system theoretically makes identical 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 facing similar market conditions, they may produce slightly different judgments.
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