A comprehensive AI-driven stock analysis skill that provides a 1000-point 10-dimensional report for A-share stocks using real-time market data.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install stock-analysis-10d
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-analysis-10d using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill is a powerful tool designed for the Openclaw Skills ecosystem, enabling AI agents to conduct professional-grade financial analysis on Chinese A-share stocks. It leverages real-time data from Eastmoney APIs to evaluate companies across ten critical dimensions, including technical indicators, financial health, institutional sentiment, and fund flows. By automating the data retrieval and synthesis process, it transforms raw market data into an actionable, scored report that aids in sophisticated investment decision-making. This tool is essential for developers and investors looking to integrate high-fidelity market data into their automated workflows using Openclaw Skills.
To use this within your environment, ensure your AI agent has internet access to perform curl commands. This skill uses the Openclaw Skills template to interface with public financial APIs.
# Example of how the skill fetches real-time data
curl -s "https://push2.eastmoney.com/api/qt/stock/get?secid=1.600036&fields=f43,f44,f57,f58,f105"
The skill organizes data into a ten-dimensional matrix for balanced evaluation.
| Dimension | Focus Areas | Max Score |
|---|---|---|
| Basic Info | Market cap, turnover, price change | 100 |
| Financials | Revenue growth, profit margins, ROE | 100 |
| Technicals | MACD, KDJ, Moving Averages, Volume | 100 |
| Fund Flows | Institutional holdings, main fund inflow | 100 |
| Risk/Value | Valuation multiples (PE/PB), risk alerts | 100 |
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