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EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents

This story is from 2026-09-17. It is preserved in the archive; the latest stories are on the live feed.

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 tool-use policies that are fixed before deployment. This limits their ability to adapt how…

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  1. 2026-09-17 04:00 · arXiv cs.AI
    EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents

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