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EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents
Not provided in the content
policy refinementtrading agentsself-evolving systems
2609.17632
Builder Relevance
1h ago80%
Abstract
EvolveTrade introduces a self-evolving framework for LLM trading agents that enhances their adaptability through experience-driven policy refinement.
Reality Card
Core Claim
EvolveTrade improves the Sharpe Ratio and Cumulative Return of LLM trading agents compared to fixed-policy baselines across multiple market regimes.
Method / Result
EvolveTrade achieves improved Sharpe Ratio and Cumulative Return in most evaluated settings.
Limitations
The paper does not specify the authors or provide detailed experimental setups, which may affect reproducibility.
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