Is this skill meant for professional investors?

While it uses professional-grade metrics like capital flows and market micro-structure data, it is designed to be accessible for both retail investors and professional analysts looking to automate their research workflow.

Can I customize the screening criteria?

Absolutely. You can define parameters such as market cap, industry (SW classification), investment style, and specific financial thresholds like dividend yield or debt ratios.

Does it provide real-time financial data?

Yes, the skill utilizes MCP tools to fetch real-time quotes, valuation metrics (PE/PB), and financial indicators like ROE and revenue growth for accurate screening.

What markets does this skill support?

This skill specifically targets the China A-share market, covering the Shanghai (Main & Star Market), Shenzhen (Main & ChiNext), and Beijing Stock Exchanges.

CN Equity Idea Generation

Name: CN Equity Idea Generation
Author: ccq1

byccq1

•

Data Science & ML

Automates A-share stock selection and investment opportunity discovery using quantitative screening and market micro-structure analysis.

This skill transforms Claude into a sophisticated equity research assistant specialized in the Chinese A-share market. It enables systematic screening of stocks across the Shanghai, Shenzhen, and Beijing exchanges by combining quantitative factors—such as value, growth, and quality—with real-time market signals like Northbound capital flows and 'Dragon-Tiger' list activity. Whether you are looking for long-term value plays or short-term event-driven opportunities, this skill provides a structured workflow to identify candidates, analyze catalysts, and assess risks, significantly accelerating the investment research process.

Key Features

01Sector rotation analysis and hot concept identification

0215 GitHub stars

03Real-time tracking of Northbound funds and institutional capital flows

04Multi-factor quantitative screening for Value, Growth, and Quality strategies

05Event-driven analysis for earnings surprises, buybacks, and index changes

06Structured investment reporting with logic, catalysts, and risk scoring

Use Cases

01Track institutional buying patterns and 'Dragon-Tiger' list leaders after market close

02Identify high-growth stocks with ROE > 15% and PEG < 1 within specific industries

03Review market-wide 'Limit Up' stocks to find continuing thematic investment opportunities

Key Features

01Sector rotation analysis and hot concept identification

0215 GitHub stars

03Real-time tracking of Northbound funds and institutional capital flows

04Multi-factor quantitative screening for Value, Growth, and Quality strategies

05Event-driven analysis for earnings surprises, buybacks, and index changes

06Structured investment reporting with logic, catalysts, and risk scoring

Use Cases

01Track institutional buying patterns and 'Dragon-Tiger' list leaders after market close

02Identify high-growth stocks with ROE > 15% and PEG < 1 within specific industries

03Review market-wide 'Limit Up' stocks to find continuing thematic investment opportunities