ClawHub

US Stock Valuation Model - Value Investing Framework / 美股估值模型-价值投资框架

Structured bilingual framework to evaluate US stocks by quality, moat, management, valuation, and risk for buy/watch/avoid decisions and monitoring.

Audits

Pass
ClawScanPass

Agentic behavior and permission review.

Static analysisPass

Pattern checks against bundled files.

VirusTotalPass

Multi-engine malware detections and file reputation.

Install

openclaw skills install us-value-investing-framework

US Stock Valuation Model - Value Investing Framework (EN + 中文)

This skill is an explicit rule-based value model focused on US stocks.

Input

Company financial report data (structured JSON), including:

  • 3+ years of ROE
  • Debt ratio
  • Free cash flow and net income
  • Moat assessment: brand / network effect / cost advantage

Use the bundled template: references/input-template.json.

Decision Rules (strict)

  1. ROE rule: ROE > 15% for at least 3 consecutive years
  2. Leverage rule: Debt ratio < 50%
  3. Cash conversion rule: Free cash flow > 80% of net income
  4. Moat rule: evaluate brand/network effect/cost advantage

Output

  • Investment rating: A / B / C / D
  • Reasons (pass/fail explanation per rule)
  • Bilingual summary (EN main + 中文摘要)

Run

python3 scripts/evaluate_company.py \
  --input references/input-template.json \
  --out .state/eval.json \
  --markdown .state/eval.md

Rating policy

  • A: all 4 rules pass
  • B: 3 rules pass
  • C: 2 rules pass
  • D: 0-1 rule pass

Resources

  • scripts/evaluate_company.py: deterministic evaluator
  • references/input-template.json: input schema example