A professional-grade quantitative data skill providing access to over 5500 A-share stocks with deep factor analysis and financial indicators.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install factorhub
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 factorhub 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 FactorHub A-Share Quantitative Data?
FactorHub is a specialized tool designed for the Openclaw Skills ecosystem that bridges the gap between AI agents and the complex world of the Chinese A-share market. It provides comprehensive access to quantitative factor data, financial indicators, and market performance metrics for over 5500 stocks.
By leveraging the Model Context Protocol (MCP), FactorHub allows AI agents to perform sophisticated financial research, query factor scoring indicators, and analyze net value curves. This skill transforms a standard AI into a professional quantitative analyst capable of navigating market valuations and fundamental data with precision.
FactorHub A-Share Quantitative Data Use Cases
- Conducting deep quantitative factor analysis on specific A-share stocks.
- Retrieving real-time and historical market data, including daily K-lines for stocks and indices.
- Screening stocks based on fundamental metrics like PE, PB, PS, and dividend yields.
- Running backtests on built-in strategies such as low valuation, momentum, and mean reversion.
- Monitoring capital flows and financial health across the entire A-share market.
How FactorHub A-Share Quantitative Data Works
- The AI agent invokes the FactorHub skill through the Openclaw interface to request specific market or factor data.
- The factorhub-mcp binary processes the request and communicates with the FactorHub backend API.
- Market data, including technical indicators and quantitative scores, is retrieved for the requested ticker or index.
- The skill parses the financial data into a structured format that the AI agent can interpret for analysis or strategy execution.
- Results are returned to the user, providing actionable insights or backtesting reports.
FactorHub A-Share Quantitative Data Setup
To integrate this quantitative data powerhouse into your environment, use the following command via the Openclaw Skills manager:
clawhub install factorhub
Note: Ensure you have the factorhub-mcp binary dependencies met as specified in the skill metadata.
FactorHub A-Share Quantitative Data Data Schema & Taxonomy
FactorHub organizes its data into several high-level domains accessible by the agent:
| Category | Data Points |
|---|---|
| Factor Data | Factor lists, scoring indicators, net value curves |
| Market Data | Daily K-lines, Index performance, Valuation metrics (PE/PB/PS) |
| Stock Info | Fundamentals, screening criteria, trading calendars |
| Strategy | Backtesting results for Limit-up, Low Valuation, and Momentum strategies |
FactorHub A-Share Quantitative Data Advanced Features
- Multi-factor scoring systems for advanced stock ranking.
- Built-in strategy backtesting engine for rapid hypothesis testing.
- Seamless integration with AI Agent Protocols for automated financial reporting.
- Comprehensive coverage of 5500+ A-share securities with granular financial indicators.
SKILL.md
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