This research explores how intelligent trading agents powered by language models can manipulate market sentiment to their advantage.

• Trading bots can strategically generate content to influence other market participants
• Deep reinforcement learning enables these agents to optimize manipulation strategies
• The study reveals concerning vulnerabilities in financial markets to AI-driven manipulation
• Highlights urgent need for security measures against LLM-enabled market manipulation

This work demonstrates critical financial security risks as AI adoption accelerates across economic sectors, requiring immediate attention from regulators and security professionals.

Exploring Sentiment Manipulation by LLM-Enabled Intelligent Trading Agents