What stays behind isn't necessarily the coolest, but it must better deliver user value and be capable of self-repair in different environments. For Gate, the thirteenth anniversary is more like a review — we've experienced euphoria and weathered harsh winters; witnessed narrative rises and falls, and seen how risks can amplify in an instant. Being able to reach today isn't about luck, but about embedding long-termism into every detail of system stability, security risk control, compliance building, and service experience.
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.