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TradingAgents

20,252
3,649
Python

Project Description

TradingAgents: Multi-Agents LLM Financial Trading Framework

TradingAgents: TradingAgents: Multi-Agents LLM Financial Trading Framework

Project Title

TradingAgents — Multi-Agent LLM Financial Trading Framework for Real-World Dynamics Simulation

Overview

TradingAgents is an open-source multi-agent trading framework designed to simulate the dynamics of real-world trading firms. It utilizes specialized LLM-powered agents to collaboratively evaluate market conditions and inform trading decisions, mirroring the roles of fundamental analysts, sentiment experts, technical analysts, traders, and risk management teams. This framework is particularly useful for researchers and developers looking to explore and develop impactful financial trading projects.

Key Features

  • Multi-agent system simulating real-world trading firm dynamics
  • Integration of specialized LLM-powered agents for various roles
  • Dynamic discussions among agents to pinpoint optimal trading strategies
  • Designed for research purposes, not financial advice

Use Cases

  • Use case 1: Researchers using the framework to study market dynamics and develop new trading strategies.
  • Use case 2: Developers building financial trading applications that require a realistic simulation of market conditions.
  • Use case 3: Educational institutions using the framework for teaching purposes in financial markets and trading.

Advantages

  • Advantage 1: Real-world trading dynamics simulation for more accurate strategy testing.
  • Advantage 2: Collaboration among specialized agents for comprehensive market analysis.
  • Advantage 3: Open-source framework allows for community contributions and improvements.

Limitations / Considerations

  • Limitation 1: Trading performance may vary based on factors like model temperature and data quality.
  • Limitation 2: Not intended as financial, investment, or trading advice; results may be non-deterministic.

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Basic Information


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Project Information

Created on 12/28/2024
Updated on 9/8/2025