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Chapter 3 · GitHub facts 2026-10-22

TradingAgents ​

What it does ​

The GitHub description is “TradingAgents: Multi-Agents LLM Financial Trading Framework.” pyproject.toml depends on langgraph, langchain-core, and LangChain provider packages for OpenAI, Anthropic, and Google, plus yfinance and stockstats. The GitHub homepage field points at an arXiv PDF. This list files it as a multi-agent framework with analyst, trader, and risk roles.

Repository facts ​

RepositoryTauricResearch/TradingAgents
GitHub descriptionTradingAgents: Multi-Agents LLM Financial Trading Framework
Stars112,764
Forks21,808
Created2024-12-28
Default branchmain
Last commit2026-10-16 e8f5503
Last push2026-10-16
LicenseApache-2.0
Homepagehttps://arxiv.org/pdf/2412.20138
Primary languagePython
LanguagesPython, Dockerfile
Topicsagent, finance, llm, multiagent, trading

Source: GitHub API, 2026-10-22.

Technical stack ​

Primary language reported by GitHub: Python. Languages reported by GitHub: Python, Dockerfile.

Dependency files (package names only, as read on the fetch date):

  • pyproject.toml: langchain-core, langchain-anthropic, langchain-google-genai, langchain-openai, langgraph, langgraph-checkpoint-sqlite, pandas, yfinance, stockstats, typer

Activity ​

Last commit on the default branch main: 2026-10-16 (e8f5503). Subject: Merge pull request #1536 from TauricResearch/v0.7.0.

Last push to the repository: 2026-10-16. Created: 2024-12-28.

Who it is for ​

For people reading how a trading desk can be split into LLM roles and a graph, before any live order path.

In this list ​

Filed under: Chapter 3.

Category note: Multi-Agent Decisions.

Related project pages: ai-hedge-fund, FinGPT.

Comparisons: FinGPT vs TradingAgents, Best open-source trading agents.

For research and education only. Not investment advice. · Maintained by Ao Wang · Guides