skills.rest
thanhtai040805
thanhtai040805COMMUNITY
Explore all skills by this author →
GitHub

valuation-model

Perform corporate valuation and sensitivity analysis with Python financial models.

2|Updated May 13, 2026
Search Tags:#financial modeling#stock analysis#valuation#DCF#sensitivity analysis#DDM
One-click install
npx skills add https://github.com/thanhtai040805/AI_Invest --skill valuation-model-thanhtai040805
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: valuation-model
Source: https://github.com/thanhtai040805/AI_Invest/tree/main/ai-engine/app/domain/services/quant/skills_data/valuation-model
Command: npx skills add https://github.com/thanhtai040805/AI_Invest --skill valuation-model-thanhtai040805

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, pandas, financial, pandas-datareader, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The Skill solves the problem of manual and often inaccurate valuation of stocks by providing systematic, automated valuation models with built-in sensitivity analysis and trap detection.

Core Features & Use Cases

  • Valuation Methodology: Includes DCF, DDM, SOTP, and relative valuation models.
  • Sensitivity Analysis: Analyzes the impact of changing key inputs like WACC and growth rate.
  • Valuation Trap Detection: Identifies common valuation pitfalls to avoid overpaying or underpricing.

Quick Start

Activate the valuation-model skill with a specific stock code and it will perform an analysis using both absolute and relative valuation models, and then generate a report.

Frequently Asked Questions about valuation-model

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

FAQPage Schema
How do I automate DCF and DDM valuation for stock analysis in Python?▼

You can automate quantitative stock valuation by activating this skill with a specific stock code to generate DCF, DDM, and SOTP models alongside relative valuations using Python.

Can I run sensitivity analysis on WACC and growth rates for financial modeling?▼

Yes, sensitivity analysis is built directly into the valuation workflow to evaluate the impact of changing key inputs like WACC and growth rates on your final corporate valuation results.

How does valuation trap detection work to prevent overpaying for a stock?▼

Valuation trap detection identifies common quantitative pitfalls during the analysis process, helping you avoid overpaying or underpricing a stock by flagging inaccurate manual valuation assumptions.

Do I need numpy and pandas expertise to use this quantitative valuation methodology?▼

Yes, because this skill requires numpy, pandas, and pandas-datareader to process financial data, users need financial modeling expertise and a Python environment configured for quantitative workflows.

What is the best way to combine absolute and relative valuation models like PE-Band and EV-EBITDA?▼

The best way is to use an automated skill that runs both absolute models like DCF and relative models like PE-Band, PB-ROE, and EV-EBITDA simultaneously to produce a comprehensive stock report.

Related Skills

Explore More Finance & Accounting Skills→
hxhyyyhxhyyy

akshare

Aggregate financial market data into structured pandas DataFrames via akshare.

Community
Intermediate
rpoole-devrpoole-dev

Returns Analysis

Model IRR/MOIC sensitivity tables for private equity deals and output Excel workbooks.

Community
Advanced
TradeInsight-InfoTradeInsight-Info
11

peer-comparison

Compare financial and valuation metrics for a target company and its peers.

Official
Intermediate
nvmohinaninvmohinani

dcf-model

Build DCF valuation models with WACC, terminal value, and sensitivity analysis.

Community
Advanced