noahnan-max/chanlun-trading-system

Description and use

The chanlun‑trading‑system offers an executable, auditable AI‑agent skill that implements Chan Theory (缠论) for researching and automating market workflows—enabling users to define hierarchy, identify structure, and flag invalidation points before backtesting or monitoring strategies. Adoption should begin with a small proof‑of‑concept, reviewing the README and testing core functions in a sandbox before scaling to broader research or internal prototyping. While the project shows medium production readiness—useful for prototypes and internal tools—teams should verify dependencies, license compliance, security posture, and maintainer activity before moving to production.

Use in a workflow

noahnan-max/chanlun-trading-system helps research and automate market workflows.

• research trading systems
• backtest strategies
• monitor market workflows

Limitations and review notes

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.