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Agentic Trading: When LLM Agents Meet Financial Markets

cs.AI updates on arXiv.org·
AI Analysis

The paper discusses the integration of Large Language Models (LLMs) in trading systems, highlighting their potential as decision-making agents in financial markets. However, it identifies significant challenges in reproducibility and evaluation protocols that need to be addressed for effective implementation.

Key Topics

Large Language Modelstrading systemsfinancial marketsexpert-system decision pipelines

Originally reported by cs.AI updates on arXiv.org. Read the full article ↗

Agentic Trading: When LLM Agents Meet Financial Markets | AI Crypto Daily Wire