valuation-model

Automate company valuation using DCF, DDM, SOTP, PE-Band, PB-ROE, and EV-EBITDA methods.

Updated May 25, 2026
One-click install
npx skills add https://github.com/NigarumOvum/AutoTrading --skill valuation-model-nigarumovum
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: valuation-model
Source: https://github.com/NigarumOvum/AutoTrading/tree/main/Vibe-Trading/agent/src/skills/valuation-model
Command: npx skills add https://github.com/NigarumOvum/AutoTrading --skill valuation-model-nigarumovum

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the complex process of corporate valuation, providing a framework for both absolute and relative valuation methods, and helps identify potential valuation traps.

Core Features & Use Cases

  • Absolute Valuation: Offers DCF, DDM, and SOTP methods for in-depth valuation analysis.
  • Relative Valuation: Provides PE-Band, PB-ROE, and EV-EBITDA relative valuation methods.
  • Sensitivity Analysis: Conducts sensitivity analysis on valuation assumptions.
  • Valuation Trap Detection: Identifies common valuation traps in corporate analysis.
  • Use Case: For financial analysts and investors looking to perform comprehensive valuation analysis on companies.

Quick Start

Run the valuation-model skill with the 'analyze' command and provide the company name or ticker.

Frequently Asked Questions about valuation-model

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

FAQPage Schema
How do I automate corporate valuation using DCF and DDM models?

Automate corporate valuation by running the analysis skill with financial data inputs to calculate DCF, DDM, and SOTP models, providing absolute valuation results and sensitivity analysis.

What is the best way to identify valuation traps in corporate finance analysis?

Identify valuation valuation traps by running comprehensive corporate analysis that cross-checks absolute DCF models with relative PE-Band, PB-ROE, and EV-EBITDA valuation methods to detect inconsistencies.

Can I perform sensitivity analysis on DCF valuation assumptions in Python?

Perform sensitivity analysis on DCF valuation assumptions using Python's numpy, pandas, and scipy libraries to adjust modeling variables and output dynamic valuation ranges.

Does this corporate valuation approach support SOTP and EV-EBITDA methods?

This corporate valuation approach supports Sum-Of-The-Parts (SOTP) for absolute valuation and EV-EBITDA for relative valuation, alongside DCF, DDM, PE-Band, and PB-ROE methods.

What financial data do I need to run DCF and relative valuation models?

Running DCF and relative valuation models requires structured corporate financial data inputs, including revenue projections, margin assumptions, and capital structure details for accurate analysis.