A comprehensive A-share market intelligence tool for real-time price tracking, automated sector screening, and personalized investment recommendations.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install chaogu
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 chaogu using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Stock Analysis skill is a robust data processing extension designed for the Openclaw environment. It leverages the akshare data library to provide developers and investors with live insights into the A-share market. By integrating directly with real-time data sources, it enables users to monitor market trends, analyze sector performance, and receive stock recommendations tailored to specific interests such as technology, semiconductors, and aerospace.
This skill bridges the gap between raw financial data and actionable intelligence. It automates the tedious process of manual market screening, allowing users to define specific criteria for volume ratios and price movements. Whether you are looking for short-term trading opportunities or long-term sector trends, this addition to your Openclaw Skills library streamlines the entire research workflow.
To utilize this skill, you must ensure the Python environment is configured with the required data library. Run the following command in your terminal:
pip install akshare
Once the dependency is installed, place the skill folder in your local directory:
~/.openclaw/skills/stock-analysis/
You can then customize your investment preferences by editing the stock_recommend.py file to include your target sectors and risk parameters.
The skill organizes market data and user preferences using a structured approach to ensure high-speed analysis:
| Component | Format | Description |
|---|---|---|
| Market Data | Pandas DataFrame | Real-time spot data including price, volume, and turnover from akshare. |
| Preferences | Python Dictionary | Stores sector whitelists (e.g., Tech, Liquor) and risk levels. |
| Reports | Markdown/Console | Formatted summaries of sector performance and recommended tickers. |
| Automation | Cron Expression | Openclaw Skills configuration for scheduling recurring tasks. |
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