An AI-powered technical analysis engine for automated chart pattern recognition and market indicator assessment across stocks, options, and crypto.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install chartclass
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install chartclass using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
ChartClass is a sophisticated technical analysis skill designed to empower traders and developers with automated market insights. By leveraging advanced algorithms, it scans financial data to identify complex chart formations like head-and-shoulders, double bottoms, or bullish flags while calculating standard indicators such as RSI, MACD, and Bollinger Bands. Integrating this into your Openclaw Skills workflow allows for real-time trend detection and multi-timeframe confluence analysis.
Whether you are analyzing equities, options, or crypto, ChartClass simplifies the process of finding support and resistance levels. It transforms raw price action into actionable technical intelligence, helping users make data-driven decisions in volatile markets. This skill acts as a bridge between raw market data and high-level trading strategy execution.
To begin using ChartClass, you must configure your environment with the necessary credentials. Set the required environment variables to enable market data access within your Openclaw Skills environment.
export CHARTCLASS_API_KEY="your_api_key_here"
# Optional: Set a default timeframe (1m, 5m, 15m, 1h, 4h, daily, weekly)
export CHARTCLASS_DEFAULT_TIMEFRAME="daily"
The skill organizes market data and technical results into a structured format for easy consumption by agents and developers:
| Component | Description |
|---|---|
| OHLCV Data | Historical price points including open, high, low, close, and volume. |
| Pattern Objects | Identified formations with confidence scores and potential entry/exit zones. |
| Indicators | Numerical arrays for RSI, MACD, Bollinger Bands, and various Moving Averages. |
| Support/Resistance | A collection of price levels identified as key historical reaction zones. |
| Trend Meta | Classification of trend direction (bullish/bearish) and current strength. |
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