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deep-research

Automate financial market research with data collection, cross-validation, and report generation.

1|Updated Jan 11, 2026
Search Tags:#data analysis#stock analysis#market research#investment analysis#financial research#theme investing
One-click install
npx skills add https://github.com/YH-05/finance --skill deep-research-yh-05
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/YH-05/finance/tree/main/.claude/skills/deep-research
Command: npx skills add https://github.com/YH-05/finance --skill deep-research-yh-05

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill automates the comprehensive deep research process for financial markets and investment themes, from data collection across multiple sources to cross-validation, in-depth analysis, and report generation.

Core Features & Use Cases

  • Automated Data Collection: Gathers data from SEC EDGAR, market analysis tools (yfinance, FRED), web searches, and RSS feeds.
  • Cross-Validation & Confidence Scoring: Verifies data across sources and assigns reliability scores.
  • In-depth Analysis: Performs detailed analysis tailored to specific research types (Stock, Sector, Macro, Theme).
  • Report Generation: Produces output in various formats (article, report, memo).
  • Use Case: When a user asks for a deep dive into a specific stock's financial health, valuation, and catalysts, this Skill can automate the entire research process, providing a comprehensive report.

Quick Start

Use the deep-research skill to perform a standard analysis on Apple stock.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I automate deep financial research and investment theme analysis?▼

Automating deep financial research involves collecting data from sources like SEC EDGAR and market providers, then cross-validating it for in-depth stock, sector, and theme-based analysis. This process generates comprehensive reports with confidence scores.

What is cross-validation and confidence scoring in stock analysis?▼

Cross-validation in stock analysis verifies financial data across multiple sources to ensure accuracy, while confidence scoring assigns reliability metrics to the findings. This ensures generated investment reports are based on verified information.

Can I gather SEC EDGAR and market data for a comprehensive stock analysis report?▼

Yes, you can gather SEC EDGAR filings, market data from providers like yfinance, and web data for comprehensive stock analysis. This automated collection supports deep dives into a company's financial health, valuation, and catalysts.

What formats can I generate for macro and sector market research reports?▼

For macro and sector market research, you can generate output reports in article, formal report, or memo formats. This allows flexible delivery of cross-validated financial data and theme-based investment analysis.

Does automated investment analysis support theme investing and macro research?▼

Automated investment analysis supports theme investing and macro research by performing tailored in-depth analysis across specific research types. It aggregates data from multiple sources to evaluate broad market trends and investment themes.

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