A comprehensive stock analysis tool providing real-time data, technical indicators, and fundamental metrics for global equity markets.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install stock-analyzer-by-benben
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 stock-analyzer-by-benben 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 Stock Analyzer?
The Stock Analyzer is a robust extension built for Openclaw Skills that enables developers and traders to perform deep financial analysis directly from their AI agent environment. It streamlines the process of gathering market intelligence by integrating real-time price fetching, technical indicator calculations, and fundamental data retrieval into a single automated workflow. Whether you are looking for rapid market snapshots or detailed technical reports, this tool provides the analytical depth required for informed decision-making.
By leveraging industry-standard libraries like yfinance and pandas, the Stock Analyzer ensures high data integrity and provides professional-grade insights. It is designed to bridge the gap between raw market data and actionable strategy, making it an essential component for any financial automation setup using Openclaw Skills.
Stock Analyzer Use Cases
- Automating the generation of daily stock performance reports in Markdown format.
- Performing rapid technical screening using indicators like RSI, MACD, and Bollinger Bands.
- Evaluating company health through fundamental metrics like PE ratios, market cap, and profit margins.
- Visualizing market trends with automated K-line chart generation and technical overlays.
- Forecasting short-term price movements using linear or prophet-based prediction models.
How Stock Analyzer Works
- The user initiates a command specifying a stock symbol and the desired analysis type.
- The skill connects to Yahoo Finance to retrieve the most recent historical and real-time market data.
- The engine processes the raw data to calculate technical indicators such as Moving Averages and KDJ.
- If fundamental analysis is requested, it scrapes key financial metrics and company metadata.
- The tool generates a structured output, which can be a Markdown report, a data summary, or a visual PNG chart.
Stock Analyzer Setup
To install the Stock Analyzer, copy the skill directory to your local configuration:
cp -r stock-analyzer ~/.openclaw/skills/
Then, install the necessary Python dependencies to handle data processing and visualization:
pip install yfinance pandas numpy matplotlib
Stock Analyzer Data Schema & Taxonomy
The Stock Analyzer organizes information into several structured formats to ensure clarity in its Openclaw Skills implementation:
| Data Type | Description | Format |
|---|---|---|
| Technical Analysis | Includes MA, RSI, MACD, and Bollinger Bands data. | Markdown / Table |
| Fundamentals | Market Cap, PE Ratio, Revenue, and Profit data. | List |
| Visualizations | K-Line charts and technical indicator plots. | PNG Image |
| Predictions | Short-term trend forecasting results. | Text / JSON |
| Configuration | User preferences for periods and chart styles. | JSON |
Stock Analyzer Advanced Features
- Support for global markets including US stocks and China A-shares (using .SS or .SZ suffixes).
- Highly customizable technical indicator strings for tailored analysis sessions.
- Automated signal generation that identifies bullish or bearish trends based on crossover logic.
- Flexible reporting modes allowing for either concise summaries or full-length technical dossiers.
- Persistent configuration support via a dedicated secrets JSON file for custom default settings.
SKILL.md
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