The Control Layer Behind Rule-Following Agents Trading Across Market Conditions

cs.AI, cs.LG, cs.MA, q-fin.RM, q-fin.TR

Submitted: 2026-10-19

Updated: 2026-10-19

Comments: 47 pages, 0 figures, 16 numbered tables. Includes a trading-agent evaluation toolkit and checklist

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• Agents' Last Exam
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems