stock-analyzer

Generate PDF research reports and DCF Excel models from market data.

18|4|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/DevHive1/DevHive-Cli --skill stock-analyzer-devhive1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stock-analyzer
Source: https://github.com/DevHive1/DevHive-Cli/tree/main/agents/stock-analyzer
Command: npx skills add https://github.com/DevHive1/DevHive-Cli --skill stock-analyzer-devhive1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yfinance, fpdf2, openpyxl, matplotlib, pandas, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

This skill solves the complexity of performing deep-dive financial analysis by automating the retrieval of market data, the generation of professional research reports, and the construction of complex DCF Excel models.

Core Features & Use Cases

  • Automated Research Pipeline: Integrates yfinance data with SEC EDGAR filings to provide verified fundamental and technical analysis.
  • Dual-Deliverable Generation: Simultaneously produces a polished, sell-side style PDF report and a fully-functional DCF Excel model with sensitivity and scenario analysis.
  • Use Case: A user needs to evaluate a potential investment in a tech stock; the skill pulls peer data, generates price and margin charts, builds a 5-year DCF model, and compiles a comprehensive PDF report with risk assessments and investment thesis.

Quick Start

Use the stock-analyzer skill to generate a full research report and DCF model for NVDA including a peer comparison with AMD and INTC.

Frequently Asked Questions about stock-analyzer

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

FAQPage Schema
How do I automate equity research and generate a DCF Excel model with real-time stock data?

To automate equity research and generate a DCF Excel model, this skill integrates yfinance market data with SEC EDGAR filings to build a 5-year DCF model and compile a comprehensive PDF research report.

Can I build peer benchmarking and technical trend analysis for multiple stocks?

Yes, you can perform peer benchmarking and technical trend assessment by pulling peer data to generate comparative price and margin charts alongside fundamental stock valuation for multiple tickers.

Does this skill use yfinance and pandas to produce sell-side style PDF research reports?

Yes, this skill uses yfinance and pandas within its Python data pipelines to automate the generation of polished, sell-side style PDF research reports containing risk assessments and investment theses.

What is the best way to create investment decision support materials with sensitivity and scenario analysis?

The best way to create investment decision support materials is using this skill to simultaneously produce a fully functional DCF Excel model equipped with sensitivity and scenario analysis.

How do I generate a stock valuation report for NVDA including a peer comparison with AMD and INTC?

You can generate a stock valuation report for NVDA with a peer comparison for AMD and INTC by triggering the automated research pipeline to pull market data, build the DCF model, and compile the PDF.