Quant

What This Skill Does

Quant is a powerful, integrated quantitative investment assistant designed for the OpenClaw AI ecosystem. Developed by 77spongebob, it serves as an end-to-end bridge between financial raw data and actionable trading intelligence. The skill leverages professional-grade libraries like Tushare, Akshare, and YFinance to ingest market data, calculates a wide array of over 50 traditional and alternative financial factors (including valuation, growth, momentum, and sentiment), and executes multi-engine backtesting using frameworks like Backtrader and VectorBT. Furthermore, it incorporates institutional-grade risk management tools, such as Black-Litterman model optimization and real-time drawdown monitoring, ensuring users can translate complex data into specific, secure trading signals.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/77spongebob/quant After installation, run quant setup to initialize your environment and input your data provider API tokens (e.g., Tushare). The skill will automatically configure local directories for historical data storage and strategy templates.

Use Cases

• Automated Research: Quickly pull historical price action or macro-economic indicators for A-share and global markets.
• Strategy Development: Design, validate, and stress-test trading strategies without writing boilerplate code, using the built-in modular architecture.
• Risk Monitoring: Maintain a vigilant eye on your portfolio’s health with automated alerts for maximum drawdown or Sharpe ratio decay.
• Decision Support: Generate real-time buy/sell signals delivered via customizable alerts (voice, popup, or clipboard) for rapid execution.

Example Prompts

1. "Jarvis, calculate the momentum and valuation factors for 600519.SH for the last two years and save the results."
2. "quant backtest --strategy=macd_rsi --symbol=000300.SH and show me the performance metrics including maximum drawdown."
3. "quant risk --portfolio='my_watchlist' --alert-threshold=0.15"

Tips & Limitations

• Security: The skill is designed with a 'local-first' policy. All data processing occurs on your local machine to protect your investment strategies and portfolio details.
• Dependencies: Ensure you have a stable internet connection for real-time data fetching, and be aware of API rate limits imposed by providers like Tushare.
• Disclaimers: This tool is an assistant; always verify signals before executing live trades, as market volatility can lead to unexpected results. The skill requires manual confirmation for sensitive operations like order execution to prevent accidental losses.