A professional AI-driven toolkit for intelligent stock screening, financial diagnostics, and automated research report generation using GilData MCP.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jy-stock-selection-and-analysis
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 jy-stock-selection-and-analysis 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 JY Stock Selection and Analysis?
The JY Stock Selection and Analysis skill is a high-performance integration designed for Openclaw Skills that leverages the GilData (恒生聚源) MCP financial data platform. It provides developers and financial analysts with a complete end-to-end workflow, ranging from complex multi-factor stock screening to deep fundamental diagnostics.
By utilizing this skill, AI agents can access real-time market quotes, historical financial statements, technical indicators, and institutional consensus data. It is specifically engineered to synthesize fragmented financial data into professional, standardized research reports, enabling sophisticated automation in the investment analysis process.
JY Stock Selection and Analysis Use Cases
- Multi-factor stock screening based on financial ratios, technical indicators, and industry sectors.
- Comprehensive fundamental analysis and diagnostic reviews for individual stocks.
- Horizontal peer comparison and industry-wide competitive landscape evaluation.
- Automated generation of structured company research reports and financial summaries.
- Real-time monitoring of A-share and HK stock market dynamics and news sentiment.
How JY Stock Selection and Analysis Works
- Executes condition-based screening using the StockMultipleFactorFilter tool to identify high-potential stocks.
- Performs parallel data collection across multiple dimensions including company basics, shareholding, and financial ratios.
- Retrieves technical indicators and real-time market quotes to assess current valuation and momentum.
- Conducts peer benchmarking by pulling financial data from 3-5 industry competitors.
- Synthesizes all collected data into a structured Markdown report based on a professional research template.
JY Stock Selection and Analysis Setup
To deploy this skill within your Openclaw Skills environment, follow these steps:
- Install the required mcporter CLI tool:
npm install -g mcporter
- Request a JY_API_KEY from GilData and configure the MCP services:
mcporter config add jy-financedata-tool --url "https://api.gildata.com/mcp-servers/aidata-assistant-srv-tool?token=YOUR_JY_API_KEY"
mcporter config add jy-financedata-api --url "https://api.gildata.com/mcp-servers/aidata-assistant-srv-api?token=YOUR_JY_API_KEY"
- Verify the installation:
mcporter list
- Restart your gateway:
openclaw gateway restart
JY Stock Selection and Analysis Data Schema & Taxonomy
The skill organizes financial data into structured taxonomies to ensure consistency across reports. Data is retrieved through specific endpoints managed via Openclaw Skills:
| Category | Metadata / Tools |
|---|---|
| Fundamentals | CompanyBasicInfo, Top10ShareHolders, MainOperIncData |
| Financials | FinancialStatements, FinancialRatioComparison, FinancialAnalysis |
| Market Data | AShareLiveQuote, StockValueAnalysis, StockQuoteTechIndex |
| Intelligence | ConsensusExpectation, StockNewslist, IndustryAnalysisViewpoints |
JY Stock Selection and Analysis Advanced Features
- Concurrent Tool Execution: Supports high-speed data harvesting by calling multiple financial endpoints simultaneously.
- Automated Charting: Generates visualization structures for revenue trends, net profit YOY, and product revenue distribution.
- Deep DuPont Analysis: Integrated logic to decompose ROE into profitability, efficiency, and leverage metrics.
- Multi-Region Support: Fully compatible with A-share and HK stock identifiers (e.g., 600519, 00700.HK).
- Data Integrity Safeguards: Implements mandatory data quality checks for reporting periods and valuation timeliness.
SKILL.md
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