EvolveTrade: Self-Evolving LLM Trading Agents Refine Their Own Tool-Use Policy
kaist-ai · hf · 2026-09-17
- KAIST AI's EvolveTrade treats an LLM trading agent's system prompt as a text-parameterized policy that a Policy Agent periodically rewrites using decision traces and realized portfolio feedback, keeping the backbone LLM fixed.
- This lets the agent adapt how it gathers evidence, invokes tools, verifies signals, and manages risk across changing market regimes.
- Across multiple regimes and two LLM backbones, EvolveTrade often improves Sharpe Ratio and cumulative return over fixed-policy baselines; behavioral analyses show self-evolved policies increase code-mediated analysis and activate regime-relevant computations.
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