EvolveTrade: a self-evolving framework for experience-driven policy refinement of tool-using LLM trading agents
Read the original at arxiv.org→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 hand-written...
Original headline: "EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents"
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- Sep 17, 04:00 UTC arXiv cs.AI lead source EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents