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financial-analysis

Calculate financial ratios and run DCF valuation models with Python scripts.

1|Updated Feb 7, 2026
Search Tags:#financial modeling#financial analysis#risk assessment#ratio analysis#sensitivity analysis#dcf valuation
One-click install
npx skills add https://github.com/sangrokjung/claude-code-config-public --skill financial-analysis-sangrokjung
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: financial-analysis
Source: https://github.com/sangrokjung/claude-code-config-public/tree/main/commands/financial-analysis
Command: npx skills add https://github.com/sangrokjung/claude-code-config-public --skill financial-analysis-sangrokjung

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a robust toolkit for in-depth financial analysis, enabling users to understand a company's performance, valuation, and risks.

Core Features & Use Cases

  • Ratio Analysis: Calculate and interpret key profitability, liquidity, leverage, efficiency, and valuation ratios.
  • Valuation Models: Perform Discounted Cash Flow (DCF) analysis, Comparable Company Analysis, and Precedent Transactions.
  • Risk Assessment: Conduct sensitivity, scenario, and Monte Carlo simulations to understand potential outcomes.
  • Use Case: Evaluate an investment opportunity by performing a DCF valuation, analyzing key financial ratios against industry benchmarks, and assessing the impact of market volatility through sensitivity analysis.

Quick Start

Calculate key financial ratios for the provided company data.

Frequently Asked Questions about financial-analysis

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

FAQPage Schema
How do I perform DCF valuation and ratio analysis for an investment opportunity?▼

DCF valuation and ratio analysis require processing financial statements and market data to calculate profitability, liquidity, and leverage ratios. Python scripts execute the valuation modeling and ratio computation to derive investment insights.

Can I run Monte Carlo simulations and sensitivity analysis using Python for risk assessment?▼

Monte Carlo simulations and sensitivity analysis are supported for risk assessment to understand potential outcomes. Python scripts execute the simulation processes, leveraging numpy and pandas to process financial data and model volatility impacts.

What financial ratios can I calculate to evaluate a company's performance?▼

Financial ratio analysis covers profitability, liquidity, leverage, efficiency, and valuation ratios. By processing financial statements, the scripts compute these metrics to help evaluate company performance against industry benchmarks and assess overall financial health.

Do I need numpy and pandas to process financial statements for valuation modeling?▼

Numpy and pandas are required dependencies to process financial statements and market data for valuation modeling. These libraries handle the underlying data manipulation and numerical computations necessary for DCF analysis and risk assessment simulations.

What's the best way to assess market volatility impact on a financial model?▼

Assessing market volatility impact is best achieved through sensitivity analysis and scenario modeling. By adjusting key variables within the financial model, you can observe potential outcomes and evaluate the investment's risk profile under different market conditions.

When should I use comparable company analysis instead of DCF valuation?▼

DCF valuation projects future cash flows, while comparable company analysis evaluates relative market valuations. Use comparable company analysis when lacking reliable forward-looking financial data, or use both alongside precedent transactions for a comprehensive investment evaluation.

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