New arXiv Paper Reframes LLM Trading-Agent Evaluation as Diagnosis Rather Than Ranking
arXiv·low signal
A paper published June 29, 2026 (arXiv:2606.29771) tackles LLM agents acting as autonomous portfolio managers, reframing closed-loop sequential-trading evaluation as a diagnostic instrument that localizes where and why an agent's process succeeds or fails rather than producing a single leaderboard score. It reflects a broader 2026 turn in agent evaluation toward capability profiles over single-number benchmarks.