shumen_finance
Mainland China A-share stock and sector analysis tool (中国A股个股与板块分析). Provides real-time stock snapshots, financial statement analysis (财务分析/财报解读), unusual price movement detection (异动分析/支撑压力位), sector and theme analysis (板块分析/概念解读), and market news lookup (市场新闻). Covers price, K-line, money flow, valuation, earnings forecast, and industry ranking for Shanghai and Shenzhen listed equities.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/ayizhi/shumenfinanceWhat This Skill Does
ShumenFinance (枢门财经) is a specialized AI agent skill designed for high-precision analysis of mainland China A-share equities. It acts as an intelligent wrapper around the Tianshan API infrastructure, providing deep, deterministic insights into Shanghai (SSE) and Shenzhen (SZE) listed companies. Whether you need a real-time stock snapshot, a comprehensive breakdown of financial statements, or an expert interpretation of unusual price movements, this skill delivers structured data without the need for manual browsing.
It is architected for analytical workflows rather than speculative trading, ensuring that every piece of information—from valuation metrics and earnings forecasts to sector-specific themes—is pulled directly from reliable, professional-grade financial backends.
Installation
To integrate this skill into your environment, use the OpenClaw command line interface:
clawhub install openclaw/skills/skills/ayizhi/shumenfinance
Use Cases
This skill is ideal for investors, financial analysts, and researchers who need consistent, automated access to A-share data. It is particularly effective for:
- Fundamental Research: Extracting key financial indicators and historical valuation trends to support long-term investment theses.
- Technical Anomaly Detection: Identifying potential catalysts behind sudden price volatility or testing the validity of identified support and resistance levels.
- Thematic Sector Monitoring: Quickly understanding the underlying drivers of a specific market concept or industry sector without manually aggregating news from multiple disparate sources.
- Real-time Market Context: Obtaining instant, data-driven summaries for specific stocks to make informed, data-backed decisions during active trading hours.
Example Prompts
- "Analyze the latest financial statement for 600519 and tell me if the valuation is currently attractive compared to its 5-year average."
- "Why is the 'low-altitude economy' sector trending today? Give me a breakdown of the key concepts and the top-performing stocks."
- "Check the recent price movement for 000001; identify its current support and resistance levels and explain any unusual trading volume."
Tips & Limitations
- Scope Boundaries: This skill is strictly limited to mainland China A-shares. It does not provide data for Hong Kong (HKEX), US markets, cryptocurrencies, or derivatives like futures and options.
- Data Privacy: As this is an external API-based skill, do not input personal financial data, trade secrets, or confidential information into your prompts.
- Efficiency: Use specific stock codes (e.g., 600519) rather than company names when possible to ensure the highest routing accuracy. For sector queries, providing the industry name or current concept theme allows the agent to refine its lookup parameters instantly. The tool is designed for granular analysis; it does not support broad, market-wide screening or massive bulk-data exporting.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-ayizhi-shumenfinance": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api