연구
EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents
arXiv:2609.17632v1 Announce Type: new Abstract: Large language model LLM trading agents can combine market data, news, and executable analysis, but their behavior is often controlled by static handwritten tooluse policies that are fixed before deployment.
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