us-value-investing-framework

TotalClaw 作者 totalclaw

基于财报数据的美股估值模型技巧（英文优先+中文）。当您需要应用明确规则时使用：ROE > 15%，持续 3 年以上，负债率 < 50%，自由现金流 > 净利润的 80%，护城河评估（品牌/网络效应/成本优势），然后输出投资评级（A/B/C/D）并附上理由。

安装 / 下载方式

TotalClaw CLI推荐

totalclaw install totalclaw:totalclaw~spyfree-us-value-investing-framework

cURL直接下载，无需登录

curl -fsSL https://skills.taituai.com/api/skills/totalclaw%3Atotalclaw~spyfree-us-value-investing-framework/file -o spyfree-us-value-investing-framework.md

# 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

```bash
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