A professional-grade investment research skill providing real-time market data, financial analysis, and quantitative stock screening for the Chinese A-share market.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install redquant-ashare-quant
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 redquant-ashare-quant 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 RedQuant A-Share Intelligence?
RedQuant A-Share Intelligence is a specialized read-only investment research tool designed for the China A-share market. By integrating with the RedQuant quantitative analysis platform via the Model Context Protocol (MCP), this skill provides developers and investors with 46 high-performance tools spanning 12 capability categories. It bridges the gap between raw financial data and actionable insights, offering everything from technical K-line analysis to deep fundamental dives into corporate balance sheets.
As a core component of the Openclaw Skills ecosystem, RedQuant emphasizes data-driven conclusions and regulatory compliance. It serves as a sophisticated digital investment consultant, capable of processing complex queries about market trends, industry rotation, and multi-factor stock selection without requiring users to manage local data processes or sensitive authentication.
RedQuant A-Share Intelligence Use Cases
- Perform real-time and historical technical analysis on Shanghai (SH) and Shenzhen (SZ) listed stocks.
- Conduct deep-dive financial audits using income statements, balance sheets, and cash flow reports.
- Execute quantitative stock screening based on custom factors like ROE, EPS, and price-to-earnings ratios.
- Monitor market sentiment through aggregated news feeds from Caixin, Tonghuashun, and Xueqiu.
- Evaluate quantitative strategy performance and backtesting summaries before making informed decisions.
How RedQuant A-Share Intelligence Works
- The skill initializes by adopting a professional investment consultant persona and establishing a secure streamable-HTTP connection to the RedQuant MCP server.
- When a user asks about a specific stock (e.g., 600519.SH), the agent fetches basic company info and current market pricing.
- It then retrieves relevant financial indicators and recent news to build a holistic view of the asset.
- For quantitative requests, it calls factor-based tools to screen the market or compare multiple stocks side-by-side.
- The agent synthesizes all retrieved data into a technical report, appending necessary risk disclosures and disclaimers.
RedQuant A-Share Intelligence Setup
To integrate this skill into your environment, configure your MCP settings to point to the RedQuant hosted service. Ensure your Openclaw Skills configuration uses the streamable-http transport method.
# Example configuration snippet for MCP
# Use the remote hosted address provided by the RedQuant Team
{
"mcpServers": {
"redquant": {
"command": "npx",
"args": ["-y", "@redquant/mcp-server"],
"env": {
"REDQUANT_API_URL": "https://api.redquant.cn/v1/mcp"
}
}
}
}
RedQuant A-Share Intelligence Data Schema & Taxonomy
The skill adheres to strict data standards to ensure accuracy across the Openclaw Skills framework:
| Feature | Specification |
|---|---|
| Stock Code Format | 6 digits followed by suffix (e.g., 000001.SZ, 600519.SH) |
| Date Format | YYYYMMDD (e.g., 20260310) |
| Query Limits | Max 50 stocks per query; Max 3-year date range |
| Data Sources | RedQuant MCP, Financial News (CLS, THS), Social Sentiment (Xueqiu) |
| Output | Read-only JSON/Markdown tables of financial and market data |
RedQuant A-Share Intelligence Advanced Features
- Multi-factor quantitative stock selection using the select_stocks_by_factors tool.
- Industry rotation analysis through industry classification and constituent tracking.
- Strategy Market integration to browse and evaluate professional quantitative strategy templates.
- Sentiment analysis integration using real-time news aggregation from multiple high-authority financial sources.
- Automated cross-referencing between financial reports and stock price movements for correlation analysis.
SKILL.md
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