Professional finance research toolkit — backtesting (8 engines + benchmark comparison panel), factor analysis, Alpha Zoo (462 pre-built alphas across qlib158/alpha101/gtja191/academic/fundamental), options pricing, 88 finance skills, 30 multi-agent swarm teams, Trade Journal analyzer, and Shadow Account (extract → backtest → render) across 23 market-data sources (tushare, yfinance, okx, binance, akshare, baostock, tencent, mootdx, ccxt, futu, mt5, local, eastmoney, sina, stooq, yahoo, india_broker, qveris, longbridge, plus optional-key finnhub/alphavantage/tiingo/fmp).
$npx -y skills add hkuds/vibe-trading --skill agentInstalls into the current project.
Run `npx skills use "https://github.com/hkuds/vibe-trading" --skill "hkuds/vibe-trading/agent"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/hkuds/vibe-trading" that are relevant to the current task. Run `npx skills add "https://github.com/hkuds/vibe-trading"` and select the relevant skills, then follow their instructions.