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china-idea-generation

Generate A-share investment ideas via quantitative screens and pattern recognition.

705|115|Updated Jun 7, 2026
Search Tags:#pattern-recognition#quantitative-analysis#stock-screening#a-share#thematic-research#investment-ideas
One-click install
npx skills add https://github.com/jwangkun/claude-for-financial-services-cn --skill china-idea-generation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: china-idea-generation
Source: https://github.com/jwangkun/claude-for-financial-services-cn/tree/main/vertical-plugins/china-finance/skills/china-idea-generation
Command: npx skills add https://github.com/jwangkun/claude-for-financial-services-cn --skill china-idea-generation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic stock screening and idea generation for A-share markets, combining quantitative filters, thematic research, and pattern recognition to surface new long and short ideas.

Core Features & Use Cases

  • Systematic, multi-strategy screening across value, growth, momentum, dividend, and event-driven themes tailored to Chinese markets.
  • Integrated data sources including iFind MCP, AkShare MCP, Dragon-Tiger list, Northbound flows, margin data, and institutional ownership signals to power ideas.
  • Standardized output format with ticker, company, sector, thesis, catalysts, risks, and conviction for rapid portfolio decision-making.

Quick Start

Provide a ranked list of A-share investment ideas derived from simultaneous quantitative screens, thematic research, and pattern recognition.

Frequently Asked Questions about china-idea-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate A-share investment ideas using quantitative screening and thematic research?▼

Generate A-share investment ideas by applying multi-strategy quantitative screens across value, growth, and momentum themes, leveraging iFind MCP and AkShare MCP data to output a standardized format with thesis, catalysts, risks, and conviction.

Can I use Northbound flows and margin data for systematic stock screening in Chinese markets?▼

Yes, systematic stock screening integrates Northbound flows, margin data, and institutional ownership signals alongside the Dragon-Tiger list to surface long and short ideas tailored to Chinese markets.

What is the best way to standardize A-share long and short ideas for portfolio decision-making?▼

Standardize A-share ideas by formatting outputs with ticker, company, sector, investment thesis, catalysts, risks, and conviction level, enabling rapid portfolio decision-making and backtesting-friendly analysis.

Does this quantitative screening approach support event-driven themes for A-shares?▼

Yes, the quantitative screening approach systematically supports event-driven themes alongside value, growth, and momentum strategies to identify new long and short ideas in the A-share market.

Do I need iFind MCP and AkShare MCP data sources to run pattern recognition for A-share ideas?▼

Yes, pattern recognition for A-share ideas leverages integrated data sources including iFind MCP and AkShare MCP to power quantitative filters and thematic research.

What are the limitations of using quantitative screens for A-share thematic research?▼

Quantitative screens require clearly defined criteria to function effectively; without precise parameters for value, growth, or momentum themes, the backtesting-friendly outputs may lack actionable conviction for portfolio decisions.

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