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Sagan

Paper

Agentic Trading: When LLM Agents Meet Financial Markets

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AI summary

arXiv:2605. 19337v1 Announce Type: new Abstract: A growing body of work explores how Large Language Models (LLMs) can be embedded in trading systems as agents that perceive market information, retrieve context, reason about decisions, emit tradable actions, and adapt under market feedback.