Qiu Guolu Valuation Analysis for Openclaw

A professional financial analysis skill based on Qiu Guolu's value investing principles to determine if a stock is priced fairly.

lj22503
v2.0.0
Mar 20, 2026
0
999
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install qiu-valuation

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install qiu-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 Qiu Guolu Valuation Analysis?

The Qiu Guolu Valuation skill is a specialized analytical tool inspired by the investment philosophy detailed in 'The Simplest Things in Investment' by Qiu Guolu. It enables AI agents to evaluate whether a stock is truly cheap by synthesizing multiple valuation dimensions including PE, PB, and PS ratios against historical benchmarks.

By focusing on the margin of safety, this Openclaw Skills integration helps investors avoid common pitfalls like overpaying for quality companies. It emphasizes that a great company only becomes a great investment at the right price, providing a structured framework for A-share and global market valuation analysis.

Qiu Guolu Valuation Analysis Use Cases

  • Conducting PE, PB, and PS valuation deep dives for stable or high-growth companies.
  • Performing historical valuation percentile analysis to identify cyclical lows.
  • Comparing current stock valuations against industry medians.
  • Distinguishing between value traps and genuine entry points in cyclical industries.

How Qiu Guolu Valuation Analysis Works

  1. The agent identifies the stock type (e.g., cyclical, heavy asset, or high growth) to select the appropriate metric.
  2. It collects current PE, PB, and PS data along with historical ranges (e.g., 5-year or 10-year data).
  3. The skill calculates the historical percentile (e.g., determining if the PE is below the 30th percentile).
  4. A weighted scoring system is applied: PE (40%), PB (35%), and PS (25%).
  5. The skill outputs a comprehensive assessment—Fair, Undervalued, or Overvalued—accompanied by actionable observations.

Qiu Guolu Valuation Analysis Setup

To integrate this valuation framework into your AI environment, use the following command:

openclaw install qiu-guolu-valuation

Ensure your agent has access to financial data APIs to feed current metrics into the skill's analytical engine.

Qiu Guolu Valuation Analysis Data Schema & Taxonomy

The skill organizes valuation data into a structured format to ensure consistency across different stock profiles:

Metric Application Target Standard Weight
PE Stable Earnings < 15x 40%
PB Heavy Assets < 1.5x 35%
PS High Growth < 5x 25%

Historical data is processed using the formula: Position % = (Current - Min) / (Max - Min)

Qiu Guolu Valuation Analysis Advanced Features

  • Multi-metric weighting: Automatically adjusts the importance of PE vs PB based on whether a stock is identified as cyclical.
  • Error Correction Logic: Detects and warns when users try to apply low-PE strategies to cyclical stocks at their peak.
  • Quality-Adjusted Valuation: Integrates net profit excluding non-recurring gains/losses and operating cash flow to verify earnings quality before finalizing valuation.

SKILL.md


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