TradingAgents-CN
TradingAgents-CN is a Chinese financial trading framework based on multi-agent LLM, allowing users to build and deploy AI-powered trading agents for financial markets.
- •When you need to automate trading decisions in Chinese financial markets
- •When you want to leverage LLM models for financial forecasting and trading
- •When you require a customizable framework for backtesting and evaluating trading strategies
python main.py --agent MyAgent --market SZSE --start-date 2022-01-01 --end-date 2022-12-31
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/tradingagents-cn && curl -fsSL https://workflowstacks.com/api/skills/tradingagents-cn/claude-skill -o ~/.claude/skills/tradingagents-cn/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
TradingAgents-CN is a very large Python project (~238k lines across 940 code files, plus 316 test files). Setup is light: installs like a normal app — add your API keys. Reading the code is optional. Last commit a month ago, Other license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2main.pyWhere the program starts running
- 3pyproject.tomlDependencies and the commands it exposes
- 4.env.exampleThe API keys and settings you must provide
- 5app/__init__.pyInside app/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/tradingagents-cn && curl -fsSL https://workflowstacks.com/api/skills/tradingagents-cn/claude-skill -o ~/.claude/skills/tradingagents-cn/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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