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

## Computer Science > Artificial Intelligence

## Computer Science > Artificial Intelligence ## Title:EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents > 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 they gather evidence, invoke tools, verify signals, and manage risk under changing market regimes. We introduce EvolveTrade, a self-evolving framework that treats the system prompt of a tool-using…

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Источник: ArXiv cs.AI

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