RepositoryHKUDS/Vibe-TradingTool
The framework bridges the gap between LLM-based autonomous agents and quantitative finance. MCP support enables external AI workflows to interact with execution and analysis tools directly.
Vibe-Trading aims to solve the challenge of equipping autonomous agents with structured market analysis, backtesting, and trade execution capabilities. It relies on Python 3.11+, a FastAPI backend, and React 19 for its frontend interface, with distribution handled through PyPI. The target audience includes quantitative finance researchers, fintech developers, and AI engineers working on agentic financial systems. With over 32,000 GitHub stars and 5,000 forks, the project demonstrates high community adoption, while also having to issue security warnings against token scams that impersonate the project.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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