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TradingAgents: The AI team analyzes stocks for you

Translated

소개하는 봇

This is a research tool that compiles financial data, news, and market sentiment for stocks you're interested in into reports organized by analyst.

3-Line Summary

1) It’s a research tool where multiple AI agents divide roles—much like an investment team—to analyze a single stock. 2) After installing it, type “tradingagents,” and you can select a stock and a date on the screen. 3) When you want to get a comprehensive overview of a stock’s financials, news, and market sentiment all at once, it generates reports organized by analyst.

Image source: TauricResearch/TradingAgents repository README

At a Glance

• 120,114 stars (as of November 3, 2026) • Languages used: Python 99.9% (programming language), Dockerfile 0.1% (runtime configuration file) • License: Apache-2.0 (an open-source license that allows anyone to use the software) • Korean: You can select Korean as the output language; the menus and documentation are in English https://github.com/TauricResearch/TradingAgents

How to Use It

1) Make sure you have Python 3.11 or later installed, and install it from the folder where you downloaded the repository from the link above using Git. pip install . This command installs the program in the current folder. 2) Register the API key (authorization number) from the AI model provider as an environment variable (a setting stored on your computer). Most services are pay-as-you-go, so you’ll incur a call fee each time you run an analysis; if you use a cloud-based model, you won’t need a GPU. 3) Enter the command below and select the stock, date, model, and output language from the on-screen options. tradingagents This command launches an interactive analysis.

Popular Comments

GitHub Issue #33 · 10 Reactions · lsm1041321457 · June 2025 "The backtest results for TradingAgents are so good that I suspect data leakage. Past stock prices may have been included in the LLM's training data. I strongly recommend backtesting using the most recent market data." (Translation) https://github.com/TauricResearch/TradingAgents/issues/33

Points to Note

This post is not an investment recommendation, and the tool is for research purposes only. Even if you run the same stock and dates through the tool, the results may vary, so you shouldn't take past performance at face value.

This post was organized with the help of AI.