A professional-grade stock screener that merges Williams %R technical indicators with Warren Buffett-style fundamental analysis for US and Thai markets.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install claw-screener
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install claw-screener using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is claw-screener?
The claw-screener is a sophisticated financial tool designed for Openclaw Skills that empowers developers and investors to identify high-quality stocks. By combining technical signals like Williams %R oversold levels with rigorous fundamental metrics derived from SEC EDGAR data, it filters for compounders—companies with strong ROIC, consistent growth, and smart capital allocation.
This skill bridges the gap between raw market data and actionable investment insights, providing a technical edge for those building automated trading or research workflows within the Openclaw Skills ecosystem. It supports both the S&P 500 and the Stock Exchange of Thailand (SET), making it a versatile asset for international portfolio management.
claw-screener Use Cases
- Identifying fundamentally strong stocks that are currently technically oversold for entry points.
- Running automated daily screens for S&P 500 or SET market opportunities.
- Performing deep-dive fundamental analysis on individual tickers using Buffett's 10 formulas.
- Monitoring a personalized watchlist with automated alerts for overbought or oversold conditions.
- Screening for long-term compounders using Carlson-style filters like ROIC and buyback history.
How claw-screener Works
- The user initiates a scan or analysis command via the Bun runtime environment.
- The skill fetches technical price data from Yahoo Finance and fundamental data from SEC EDGAR for US markets.
- It calculates the Williams %R indicator to determine if a stock is in an oversold state (typically below -80).
- Simultaneously, it evaluates the stock against 10 specific fundamental criteria including Debt-to-Equity, ROE, and Free Cash Flow.
- The results are weighted, with 70% of the combined score coming from fundamentals and 30% from technical indicators.
- Outputs are generated in the user's preferred format, such as plain text, JSON, or Telegram notifications for real-time monitoring.
claw-screener Setup
Ensure you have Bun (>=1.3.1) installed on your system to run these Openclaw Skills. To install and initialize the screener, use the following commands:
# Install dependencies
bun install
# Run a combined technical and fundamental screen
bun run screening
# Analyze a specific stock ticker
bun run analyze AAPL
claw-screener Data Schema & Taxonomy
The skill utilizes local SQLite databases and JSON files to manage data persistence and performance within the Openclaw Skills environment:
| File | Purpose | Storage Type |
|---|---|---|
~/.claw-screener-watchlist.json |
Stores user-defined tickers, notes, and alerts | JSON |
sec_cache.db |
Caches SEC EDGAR financial data to minimize API calls | SQLite |
price_cache.db |
Caches stock price data for faster technical scanning | SQLite |
claw-screener Advanced Features
- Multi-market support for both US (S&P 500) and Thai (SET) stock exchanges.
- Custom Compounding Machine filters focusing on ROIC, operating margins, and share buybacks.
- Flexible output formats including JSON for programmatic integration and Telegram for mobile alerts.
- Intelligent SQLite caching system to handle rate-limiting and improve performance on large-scale scans.
- Configurable concurrency settings for parallel data fetching during heavy screening operations.
SKILL.md
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