TradingAgents-CN ships Chinese multi-agent trading framework

This is less a translation effort than a productization pass. It turns a research-heavy agent framework into something that looks usable for Chinese-language analyst workflows, with the platform layer doing most of the heavy lifting.

• –Native support for A股 data sources plus OpenAI, Gemini, Qwen, and DeepSeek makes the stack relevant for teams that need both local market coverage and model flexibility.
• –The FastAPI plus Vue 3 plus MongoDB plus Redis plus SSE/WebSocket architecture signals a real app surface, not just a notebook demo or Streamlit wrapper.
• –Report export, stock screening, and simulated trading make it more useful for research, training, and internal analysis than for direct execution.
• –The project’s star velocity suggests real demand for localized AI-finance tooling, even as the README’s mixed-license wording means adopters should read the terms closely.