dcf-model

Automate DCF model creation for equity valuation using Python and openpyxl.

26|2|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/ViviennaMAO/money_banking_financial_market --skill dcf-model-viviennamao
Or copy as Structured Prompt for Agentâ–¼
Please help me install this Agent Skill.
Skill: dcf-model
Source: https://github.com/ViviennaMAO/money_banking_financial_market/tree/main/financial-services-main/plugins/vertical-plugins/financial-analysis/skills/dcf-model
Command: npx skills add https://github.com/ViviennaMAO/money_banking_financial_market --skill dcf-model-viviennamao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of comprehensive DCF (Discounted Cash Flow) models for equity valuation, streamlining the process from data retrieval to model delivery.

Core Features & Use Cases

  • Data Retrieval: Fetches financial data from SEC filings, analyst reports, and user-provided sources.
  • Cash Flow Projections: Constructs detailed cash flow projections with proper WACC calculations.
  • Sensitivity Analysis: Performs sensitivity analysis to assess the impact of different assumptions.
  • Excel Model Output: Generates professional Excel models with executive summaries.
  • Use Case: Ideal for investment professionals, analysts, and students who need to value a company using DCF methodology.

Quick Start

Use the dcf-model skill to create a DCF model for a company using the provided financial data and assumptions.

Frequently Asked Questions about dcf-model

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

FAQPage Schema
How do I build a DCF model for equity valuation using Python and Excel?â–¼

You can build a DCF model for equity valuation by automating data retrieval, revenue projections, free cash flow calculation, WACC application, and sensitivity analysis to output a professional Excel file using openpyxl.

What financial data do I need to automate DCF cash flow projections?â–¼

DCF cash flow projections require historical financial data from SEC filings, analyst reports, or user-provided sources to construct revenue projections, operating expense modeling, and free cash flow calculations.

Can I generate an Excel model with sensitivity analysis for DCF valuation?â–¼

Yes, you can generate an Excel model with sensitivity analysis that assesses the impact of different assumptions on equity valuation, complete with an executive summary, using openpyxl for file operations.

Does Python openpyxl support WACC and terminal value calculations for DCF?â–¼

Python openpyxl supports DCF calculations by writing WACC applications, terminal value calculations, and enterprise to equity value bridges into structured Excel worksheets for equity valuation.

What is the best way to calculate enterprise to equity value bridges in DCF models?â–¼

The best way to calculate enterprise to equity value bridges in DCF models is automating the workflow from historical analysis and free cash flow projection to discount rate application and terminal value calculation.

Do I need openpyxl and requests to run DCF equity valuation scripts?â–¼

Yes, you need openpyxl for Excel file operations and requests for data retrieval from SEC filings and analyst reports to automate the complete DCF equity valuation process.