Recursive Multi-Agent Trading System (RMATS) integrates four specialized agents -- Sentiment, Report, Analysis, and Risk -- coordinated through a recursive Manager Agent with iterative feedback loops. Experimental evaluation over a 561-trading-day period (January 2023 to March 2025) across a 24-asset multi-class universe demonstrates that RMATS achieves a maximum drawdown of 9.62%, lower than MVO (15.49%) and FinBERT Sentiment (15.28%), and exhibits the lowest event-period drawdown in 3 of 5 geopolitical stress scenarios tested. While RMATS underperforms return-maximizing baselines in a sustained bull market environment, ablation studies confirm the individual contribution of each agent component to downside protection. These results position RMATS as a risk-control-oriented architecture suitable for institutions prioritizing capital preservation under geopolitical uncertainty.

翻译：递归式多智能体交易系统（RMATS）集成了四个专用智能体——情感智能体、报告智能体、分析智能体和风险智能体——通过具有迭代反馈环路的递归式管理智能体进行协调。在跨越2023年1月至2025年3月共561个交易日、涵盖24种资产的多类别投资组合上的实验评估表明，RMATS实现了9.62%的最大回撤，低于MVO（15.49%）和FinBERT情感模型（15.28%），并且在所测试的5种地缘政治压力情景中的3种情景下表现出最低的事件期回撤。虽然在持续牛市环境中RMATS的表现逊于以收益最大化为目标的基线模型，但消融研究证实了每个智能体组件对下行保护的单独贡献。这些结果将RMATS定位为一种以风险控制为导向的架构，适用于在地缘政治不确定性下优先考虑资本保值的机构。