claw-screener

What This Skill Does

The claw-screener is a powerful analytical engine for OpenClaw designed to merge the worlds of technical and fundamental stock analysis. It utilizes the Williams %R momentum oscillator to identify stocks that are currently oversold (trading near the low end of their range) and filters these results against Warren Buffett’s rigorous fundamental criteria. By assessing financial health through ten specific value-investing formulas, the agent ensures that users aren't just finding "cheap" stocks, but identifying companies with genuine long-term potential.

Installation

To integrate this tool into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/rsoutar/claw-screener

Ensure that your environment has Bun installed, as the skill operates via high-performance TypeScript execution modules found within the src/ directory of the repository.

Use Cases

• Value Investing Research: Use the combined screening tool to find high-quality companies that are temporarily undervalued by the market, potentially creating a margin of safety for entry.
• Technical Entry Points: For traders, the technical-only scanner provides rapid snapshots of stocks across the S&P 500 or the Thai SET index that are triggering oversold signals, allowing for quick reaction to market dips.
• Portfolio Monitoring: Leverage the watchlist functionality to maintain an ongoing watch on your high-conviction stocks and receive real-time updates on their technical status without manual searching.
• Due Diligence: Run the deep analysis tool on specific tickers (like AAPL or PTT.BK) to generate a detailed report of where they stand against Buffett’s 10-point financial health check.

Example Prompts

1. "Run a combined screen for US stocks with a minimum Buffett score of 7 and display the top 5 results as JSON."
2. "Show me the current oversold stocks in the Thai market using a -70 threshold for Williams %R."
3. "Analyze Microsoft's financial health based on the Buffett criteria and send the summary to my Telegram."

Tips & Limitations

• Data Sources: This skill relies on SEC filings and live market data. Ensure your internet connection is active, as the skill requires external API calls to pull the latest stock prices and fundamental data.
• Buffett Score context: A high Buffett score indicates strong fundamental adherence, but it does not guarantee future performance. Always combine these insights with broader market sentiment analysis.
• Output Formats: The telegram output option requires configured credentials within your environment variables; ensure your bot token is set up before selecting this format.