athenara:~$ registry show 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.

Repository Website Markdown Edit this entry

#multi-agent #llm #langgraph #debate

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

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

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).

trading [●●···] basic ai [●●●··] moderate programming [●●●··] moderate setup [●●●··] moderate

authors Tauric Research, Yijia Xiao, Edward Sun, Di Luo, Wei Wang

origin external

license Apache-2.0

disclosure fully-open

frameworks langgraph

status active

markets equities

implements multi-agent-debate

described in tradingagents-paper

extended by AgenticTrading · From Deep Learning to LLMs: A Survey of AI in Quantitative Investment · QuantHarness: Price-Driven Multi-Agent LLMs for High-Frequency Trading · When Agents Trade: Live Multi-Market Trading Benchmark for LLM Agents (AMA)

athenara:~$