# Valuation Analysis

> Constructs valuation models and price targets for a company using DCF, multiples, and scenario analysis. Use this when asked about "fair value", "target price", "is it cheap/expensive", or "valuation".

- Skill: `majiayu000/valuation-analysis` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/valuation-analysis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/valuation-analysis/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/valuation-analysis

---


# Valuation Analysis

## Usage
To generate a valuation model for a company, execute the Python script in this directory.

**Command:**
```bash
python skills/valuation/run_valuation.py --ticker <TICKER> --horizon "<TIME_HORIZON>"
```

**Parameters:**
- `ticker`: The stock symbol (e.g., AAPL).
- `horizon`: Time period (e.g., "1 year", "18 months"). Default: "1 year".

## Output
Returns a JSON object with:
- `valuation_range`: Low, Base, and High price targets with methodology.
- `assumptions`: Key assumptions driving the model (e.g., revenue growth rates, discount rates) with evidence citations.
- `sensitivity`: A sensitivity matrix showing how price targets change under different scenarios.

## Example
```bash
python skills/valuation/run_valuation.py --ticker AAPL --horizon "1 year"
```

## Environment Requirements
- Python 3.12+
- Access to `research.db` SQLite database
- Neo4j GraphRAG instance running (default: bolt://localhost:7687)
- Environment variables: NEO4J_URI, NEO4J_USER, NEO4J_PASSWORD (optional, defaults provided)