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ResearchOfficialPreprintarXiv Multiagent Systems

Recursive Multi-Agent Trading System Achieves Lower Drawdown Under Geopolitical Uncertainty

Jul 14, 2026

A new preprint introduces RMATS, a recursive multi-agent trading system composed of four specialized agents coordinated by a manager. In experiments spanning 561 trading days and multiple asset classes, RMATS achieved a maximum drawdown of 9.62%, outperforming traditional methods in downside protection during several geopolitical stress scenarios. Ablation studies indicate that each agent contributes to risk control, though RMATS underperforms return-maximizing baselines in bull markets.

Why it matters: This work presents a novel multi-agent architecture that advances risk-controlled portfolio management, particularly relevant for capital preservation during periods of geopolitical uncertainty.

Full story at: arXiv Multiagent Systems