Vibe Trading
Professional finance research toolkit, backtesting (11 engines + benchmark comparison...
Install
npx skills add HKUDS/Vibe-Trading --skill vibe-trading -g -a claude-code -y- Repository
- HKUDS/Vibe-Trading37.4k
- Category
- AI and agents
- Updated
- 3d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- Yes, review before use
What it does
Professional finance research toolkit, backtesting (11 engines + benchmark comparison panel), factor analysis, Alpha Zoo (478 pre-built alphas across qlib158/alpha101/gtja191/academic/fundamental), options pricing, 90 finance skills, 30 multi-agent swarm teams, Trade Journal analyzer, and Shadow Account (extract → backtest → render) across 29 market-data sources (tushare, yfinance, okx, binance, akshare, baostock, tencent, mootdx, ccxt, futu, mt5, tickerall, local, eastmoney, sina, stooq, yahoo, pykrx, india_broker, qveris, longbridge, nobitex, wallex, plus optional-key finnhub/alphavantage/tiingo/fmp/gildata).
Vibe-Trading
Professional finance research toolkit with AI-powered backtesting (11 engines), multi-agent teams, 90 specialized skills, the Alpha Zoo (478 pre-built quantitative alphas across qlib158 / alpha101 / gtja191 / academic / fundamental with one-line CLI benchmarking), and the Shadow Account loop, extract your implicit trading rules from a journal, backtest them across A股/港股/美股/crypto, then see where they would have served you better.
Setup
pip install vibe-trading-ai
Package name vs commands: The PyPI package is
vibe-trading-ai. Once installed, you get:
Command Purpose vibe-tradingInteractive CLI / TUI vibe-trading serveLaunch FastAPI web server vibe-trading-mcpStart MCP server (for Claude Desktop, OpenClaw, Cursor, etc.)
Add to your agent's MCP config:
{
"mcpServers": {
"vibe-trading": {
"command": "vibe-trading-mcp"
}
}
}
API Key Requirements
Core research MCP tools work with zero API keys for HK/US/Canada/crypto. After pip install, backtesting, market data, factor analysis, options pricing, chart patterns, web search, document reading, trade journal analysis, shadow-account extraction/backtest/report, the Alpha Zoo (478 pre-built alphas), and all 90 skills are ready to use. IBKR tools require a local TWS / IB Gateway session; run_swarm requires an LLM key.
