Vibe-Trading
ActiveDescription
Vibe-Trading is an open-source personal trading agent stack that combines LLMs, MCP tooling, and multi-agent workflows for algorithmic trading and backtesting.
Key Features
- One command empowers your trading agent with full quantitative trading capabilities via LLM + MCP toolchain
- Backtesting engine supporting 7 data sources (Tushare, OKX, CCXT, AkShare, etc.) with local caching
- Connector-first architecture supporting IBKR, Robinhood, Tiger, Alpaca, OKX, Binance paper trading
- Multi-agent collaborative workflows with Swarm mode, research goal runtime, and retry mechanisms
- Three interaction modes: CLI, REST API, and MCP with 36+ MCP tools available
- Built-in safety: mandate management, order guards, audit ledger, and instant circuit breaker
Use Cases
💡 Personal quant traders quickly build AI-powered strategy backtesting and live trading systems
💡 Describe trading strategies in natural language to auto-generate and backtest quantitative signal engines
💡 Safely test multi-broker strategies using paper accounts with zero real capital risk
💡 Build multi-agent collaborative research workflows for automated market data collection and analysis
💡 Integrate via MCP protocol into other AI toolchains to extend trading capabilities
Strengths & Limitations
✅ Strengths
- • Actively maintained, recent updates
- • High community interest (32.3k stars)
- • Permissive open-source license (MIT)
- • Responsive to issues, low backlog
Categories
Quick Start
Install with pip install vibe-trading-ai. Use vibe-trading connector list to see available brokers, vibe-trading connector use <name> to select one. Run backtests with vibe-trading backtest or start the interactive CLI with vibe-trading cli. Docs at vibetrading.wiki/docs.