AI-Trader：全自动化实时金融大模型评估基准-美股、A股和加密货币

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AI-Trader 是由香港大学研究团队推出的首个全自动化、实时且无数据污染的金融大模型评估基准。该框架涵盖了美股、A股和加密货币三大市场，旨在测试自主智能体在极端不确定性下的实时决策与风险管理能力。与传统静态测试不同，该系统采用极简信息范式，强制智能体独立通过搜索和分析工具获取市场情报并执行交易。实验结果显示，通用智能并不等同于交易能力，多数领先模型在实战中仍面临盈利波动和跨市场适应性不足的挑战。这一开源项目为评估 AI 智能体在高并发、高风险现实场景中的表现树立了新的技术标准。

Episode metadata supplied by the publisher feed · Published Mar 16, 2026

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AI-Trader：全自动化实时金融大模型评估基准-美股、A股和加密货币

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