✨TradingAgents: Multi-Agents LLM Financial Trading Framework
📝 Summary:
TradingAgents is a multi-agent LLM framework that simulates real-world trading firms with specialized, collaborative agents. This approach significantly improves trading performance metrics like cumulative returns and Sharpe ratio compared to baseline models.
🔹 Publication Date: Published on Dec 28, 2024
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2412.20138
• PDF: https://arxiv.org/pdf/2412.20138
• Github: https://github.com/tauricresearch/tradingagents
✨ Spaces citing this paper:
• https://huggingface.co/spaces/shanghengdu/LLM-Agent-Optimization-PaperList
• https://huggingface.co/spaces/Ervin2077/qiu
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#TradingAgents #MultiAgentLLM #FinancialTrading #AlgorithmicTrading #AI
📝 Summary:
TradingAgents is a multi-agent LLM framework that simulates real-world trading firms with specialized, collaborative agents. This approach significantly improves trading performance metrics like cumulative returns and Sharpe ratio compared to baseline models.
🔹 Publication Date: Published on Dec 28, 2024
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2412.20138
• PDF: https://arxiv.org/pdf/2412.20138
• Github: https://github.com/tauricresearch/tradingagents
✨ Spaces citing this paper:
• https://huggingface.co/spaces/shanghengdu/LLM-Agent-Optimization-PaperList
• https://huggingface.co/spaces/Ervin2077/qiu
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#TradingAgents #MultiAgentLLM #FinancialTrading #AlgorithmicTrading #AI