A technical analysis engine that provides automated stock market indicators and trend predictions for traders and developers.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install stock-technical-analysis
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 stock-technical-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Stock Technical Analysis is a high-performance skill designed to provide deep market insights through automated indicator calculation and candlestick pattern recognition. It allows AI agents to interpret market data with precision, offering critical metrics like RSI, MACD, and Bollinger Bands to inform trading decisions. As part of the ecosystem of Openclaw Skills, this tool provides a cost-effective way to integrate professional-grade financial analysis into any automated workflow.
The skill operates on a pay-per-use model, ensuring that developers only pay for the analysis they need. Whether you are building a custom trading bot or a research assistant, this skill provides the mathematical backbone required to understand price action and market momentum across various stock symbols.
To use this tool within the Openclaw Skills framework, you must configure your API credentials:
export SKILLPAY_API_KEY="your_secret_api_key"
The skill returns structured financial data organized by indicator type. Below is the metadata taxonomy used:
| Indicator | Description |
|---|---|
| MA/EMA | Simple and Exponential Moving Averages for trend direction. |
| RSI | Relative Strength Index for overbought/oversold conditions. |
| MACD | Moving Average Convergence Divergence for momentum shifts. |
| Bollinger Bands | Volatility markers and price range boundaries. |
| Trend Status | Categorical output: Bullish, Bearish, or Oscillation. |
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