Quantitative Valuation
This skill calculates financial valuations using quantitative models, providing data-driven insights for investment decisions and asset analysis.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add quantitative-valuation npx -- -y @trustedskills/quantitative-valuation
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"quantitative-valuation": {
"command": "npx",
"args": [
"-y",
"@trustedskills/quantitative-valuation"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill enables AI agents to perform quantitative valuation of assets. It can calculate intrinsic value based on discounted cash flow analysis, estimate fair market price using comparable company analysis, and generate financial models for investment decision-making. The agent can also analyze financial statements to derive key valuation metrics.
When to use it
- Investment Analysis: Determine if a stock is undervalued or overvalued before making an investment.
- Mergers & Acquisitions (M&A): Assess the potential value of a target company during M&A negotiations.
- Financial Modeling: Build financial models for forecasting future performance and valuation scenarios.
- Portfolio Management: Evaluate asset allocation strategies based on quantitative valuation metrics.
Key capabilities
- Discounted Cash Flow (DCF) analysis
- Comparable Company Analysis
- Financial statement analysis
- Generation of financial models
- Valuation metric calculation
Example prompts
- "Perform a DCF valuation for Apple, using a discount rate of 8%."
- "What is the fair market price of Tesla based on comparable company analysis?"
- "Create a five-year financial model for Microsoft, projecting revenue growth and profitability."
Tips & gotchas
The accuracy of valuations depends heavily on the quality of input data. Ensure that the agent has access to reliable financial statements and market data for best results.
Tags
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