A professional stock valuation framework using ROIC and CAPM to determine intrinsic value and investment risk.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install m-valuation
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install m-valuation using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is M Valuation Method?
The M Valuation Method is a sophisticated financial analysis framework created by Xie Laoban, designed to provide a rigorous 5-step approach to stock valuation. It utilizes Return on Invested Capital (ROIC) and the Capital Asset Pricing Model (CAPM) to filter high-quality investment opportunities and calculate their true intrinsic value. By integrating this methodology into Openclaw Skills, users can automate complex financial calculations that typically require hours of manual research.
This skill is particularly effective for investors who prioritize value and quality, as it mandates that a stock's ROIC must exceed its cost of capital before proceeding with deeper analysis. It bridges the gap between raw financial data and actionable investment insights by synthesizing balance sheet metrics with market-wide risk factors.
M Valuation Method Use Cases
- Screening stocks to ensure ROIC is higher than the weighted cost of capital.
- Calculating the intrinsic value of A-share companies using Tushare financial data.
- Performing scenario-based valuation analysis for different growth projections.
- Assessing dividend and growth-related investment risks automatically.
- Generating data-driven investment recommendations based on CAPM models.
How M Valuation Method Works
- Executes a qualification screen to verify if the company's ROIC is greater than the cost of capital (w).
- Computes core parameters including dividend payout ratios (d) and sustainable growth rates (g).
- Applies the CAPM formula (w = Rf + β × (Rm - Rf)) to determine the required rate of return.
- Calculates intrinsic value and appropriate PE ratios based on dividend yields and growth expectations.
- Conducts scenario analysis for zero-growth and 3% growth environments to provide a margin of safety.
- Produces a final risk report and investment recommendation summary.
M Valuation Method Setup
To use this tool within your Openclaw Skills environment, ensure you have your Tushare API and Tavily Search credentials configured for data retrieval. Run the script using the following command structure:
python3 ~/.openclaw/workspace/skills/m-valuation/valuation.py <stock_code> [name]
Example for Midea Group (000333):
python3 ~/.openclaw/workspace/skills/m-valuation/valuation.py 000333 Midea
M Valuation Method Data Schema & Taxonomy
The skill organizes its output into a structured financial report involving the following data points:
| Category | Data Points Included |
|---|---|
| Screening | ROIC vs Cost of Capital (w) status |
| Parameters | Dividend Yield, Expected Return, Beta (β), Growth Rate (g) |
| Valuation | Intrinsic Value calculation, Target PE Ratio |
| Risk Analysis | Dividend risk scores, Growth sustainability risk |
| Scenarios | 0% Growth PE, 3% Growth PE, Intrinsic Value benchmarks |
M Valuation Method Advanced Features
- Real-time financial data fetching via Tushare API integration.
- Automated web-search capabilities via Tavily to retrieve Beta coefficients and non-A-share market data.
- Scenario-based modeling to simulate different market conditions and growth trajectories.
- Comprehensive risk-reward analysis tailored for high-conviction value investing within Openclaw Skills.
- Support for both A-share stock codes and descriptive company names for flexible querying.
SKILL.md
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