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CLQT: A Closed-Loop, Cost-Aware, Strategy-Consistent Benchmark for Diagnostic Evaluation of LLM Portfolio-Management Agents

Qu, Bo et al.
arXiv (OAI Expanded) · Papers
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artificial-intelligencecomputational-financei-2-1i-2-11machine-learningportfolio-management
LLM agents are increasingly cast as autonomous portfolio managers, yet the dominant evaluation idiom, a leaderboard of returns over a fixed window, certifies neither the soundness of an agent's process nor the durability of its edge: one period's return is dominated by the market path, and apparent
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