About this document
Multi-Agent LLM Framework for Trading by Ayan is a document available to read on EtoBox.
TradingAgents introduces a multi-agent financial trading framework that utilizes large language models (LLMs) to enhance decision-making in stock trading by simulating the collaborative dynamics of real-world trading firms. The framework features specialized agents for various roles, including fundamental and sentiment analysis, risk management, and trading, which collectively improve trading performance through structured communication and explainable AI. Experimental results demonstrate significant improv
- Author
- Ayan
- Language
- EN