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analyze-thesis

Analyze Korean stocks with qualitative and quantitative research reports.

Updated Feb 19, 2026
Search Tags:#stock analysis#qualitative analysis#value chain#investment thesis#Korean stocks
One-click install
npx skills add https://github.com/JeinJang/kr-stock-scanner --skill analyze-thesis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analyze-thesis
Source: https://github.com/JeinJang/kr-stock-scanner/tree/main/.claude/skills/analyze-thesis
Command: npx skills add https://github.com/JeinJang/kr-stock-scanner --skill analyze-thesis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, sqlalchemy, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps analyze Korean stocks from a future-oriented qualitative perspective, focusing on factors like cycles, catalysts, value chains, and peer valuation. It offers both stock thesis mode and theme value chain beneficiaries discovery mode, combining quantitative data with web research and saving the analysis as a report.

Core Features & Use Cases

  • Stock Thesis Mode: Analyze individual stocks using 12 lenses to provide a comprehensive investment thesis.
  • Theme Value Chain Mode: Identify beneficiaries from a megatrend by analyzing the value chain.
  • Combination of Quantitative and Qualitative Analysis: Combines fresh DB data with web research to provide a well-rounded analysis.
  • Report Generation: Generates a detailed report with findings and conclusions.

Quick Start

Analyze a specific stock using /analyze-thesis <ticker> or discover beneficiaries from a theme using /analyze-thesis theme:<keyword>.

Frequently Asked Questions about analyze-thesis

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

FAQPage Schema
How do I build an investment thesis for Korean stocks using qualitative analysis?▼

An investment thesis for Korean stocks is built by combining quantitative DB data with web research across 12 analytical lenses, covering cycles, catalysts, value chains, and peer valuation to generate a detailed report.

What is the best way to discover value chain beneficiaries from a stock market theme?▼

Discovering value chain beneficiaries from a market theme is done by analyzing a megatrend keyword to identify and map out related beneficiaries, producing a comprehensive investment report with findings and conclusions.

How do I combine quantitative stock data with qualitative web research for Korean equities?▼

Combining quantitative stock data with qualitative web research for Korean equities involves merging fresh database metrics with future-oriented qualitative factors like catalysts and cycles to provide a well-rounded analysis.

Can I analyze individual Korean stocks for future-oriented catalysts and cycles?▼

Yes, you can analyze individual Korean stocks for future-oriented catalysts and cycles by running a stock thesis mode that evaluates the equity across 12 distinct analytical lenses to produce a comprehensive investment thesis.

Does Korean stock analysis with this approach require pandas and sqlalchemy dependencies?▼

Korean stock analysis with this approach requires pandas, numpy, sqlalchemy, and requests dependencies to process quantitative data, manage database connections, and fetch fresh web research for the final report.

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