Agents / tradingagents

TradingAgents

A multi-agent LLM framework that assigns specialized analyst, researcher, trader, and risk-management roles to simulate the workflow of a trading firm.

  • multi-agent
  • llm
  • langgraph
  • debate

added 2026-08-15 · Apache-2.0 · external

Use this

$ git clone https://github.com/TauricResearch/TradingAgents

Prerequisites

tradingbasicaimoderateprogrammingmoderatesetupmoderate

Details

authorsTauric Research, Yijia Xiao, Edward Sun, Di Luo, Wei Wang
originexternal
licenseApache-2.0
disclosurefully-open
frameworkslanggraph
statusactive
marketsequities

TradingAgents decomposes trading into distinct LLM-powered roles: fundamentals, sentiment, news, and technical analysts feed reports to bullish and bearish researchers who debate the evidence, after which a trader agent composes a decision and a risk-management team and portfolio manager approve or reject it.

The system is built on LangGraph and supports OpenAI, Google, Anthropic, xAI, DeepSeek, Qwen, GLM, MiniMax, OpenRouter, Ollama, AWS Bedrock, and any OpenAI-compatible endpoint. Released by Tauric Research alongside the paper describing the framework (see related).

Connections

Implements: multi-agent-debate

Described in: tradingagents-paper