TradingAgents-CN is a Chinese-enhanced, multi-agent LLM framework aimed at building financial analysis and trading-oriented workflows, with an emphasis on collaboration between specialized agents rather than a single monolithic prompt. It organizes market-related tasks into roles and stages so different agents can contribute research, reasoning, aggregation, and decision support in a structured pipeline. The project is oriented toward practical usage, including a stack that can be run in a modern development environment and commonly paired with containerized backends, configuration files, and service components. It also pays attention to distribution and misuse risks, clearly warning users about unauthorized commercial repackaging and stating that commercial use requires explicit authorization while personal use is open.
Features
- Multi-agent architecture tailored for finance and trading workflows
- Chinese-enhanced implementation and documentation focus
- Pipeline-style role separation for analysis and decision support
- Configurable service setup suitable for local or container deployments
- Clear licensing posture distinguishing personal vs commercial usage
- Community-driven iteration through issues, fixes, and configuration patterns