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Qiu Guolu Investor

skill-lj22503-investment-framework-skill-qiu-guolu · by lj22503

[何时使用]当用户需要分析 A 股价值投资机会时;当用户问"邱国鹭怎么看这家公司"时;当需要进行估值/品质/时机分析时;当应用简单投资理念时

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$ agentstack add skill-lj22503-investment-framework-skill-qiu-guolu

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No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

邱国鹭简单投资智慧 📚

基于《投资中最简单的事》《价值》- 邱国鹭


📋 功能描述

基于邱国鹭的价值投资中国化理念分析投资机会。

适用场景:

  • A 股价值投资分析
  • 估值/品质/时机三要素分析
  • 行业格局分析
  • 简单投资理念应用

边界条件:

  • 不替代深入研究
  • 需配合财报分析
  • A 股特色需考虑
  • 周期股需特殊处理

🎯 核心理念

邱国鹭投资三要素

1. 估值(便宜吗?)- 40%

  • PE/PB/PS 估值
  • 历史估值比较
  • 同业估值比较

2. 品质(是好公司吗?)- 40%

  • ROE>15%
  • 毛利率>30%
  • 行业龙头

3. 时机(现在能买吗?)- 20%

  • 市场情绪
  • 行业周期
  • 催化剂

⚠️ 常见错误

错误 1:只看估值不看品质

问题:
• 买便宜烂公司
• 忽视 ROE 和毛利率
• 价值陷阱

解决:
✓ 估值 + 品质结合
✓ ROE>15% 是底线
✓ 避免价值陷阱

错误 2:忽视 A 股特色

问题:
• 用美股标准看 A 股
• 忽视政策影响
• 忽视散户情绪

解决:
✓ 考虑 A 股估值体系
✓ 关注政策导向
✓ 利用散户情绪

错误 3:周期股误判

问题:
• 周期股用 PE 估值
• 高点买入周期股
• 低点卖出周期股

解决:
✓ 周期股用 PB 估值
✓ 低 PE 时卖出
✓ 高 PE 时买入

错误 4:忽视行业格局

问题:
• 忽视行业集中度
• 忽视竞争格局
• 忽视进入壁垒

解决:
✓ 关注行业前 3 名
✓ 选择龙头公司
✓ 关注进入壁垒

错误 5:时机判断错误

问题:
• 高位追涨
• 低位割肉
• 忽视市场情绪

解决:
✓ 逆向投资
✓ 别人贪婪我恐惧
✓ 别人恐惧我贪婪

🔗 相关资源

  • references/qiu-principles.md - 邱国鹭投资原则详解
  • examples/bank-analysis.md - 银行股分析示例
  • examples/consumer-analysis.md - 消费股分析示例
  • templates/simple-investing-template.md - 简单投资分析模板

📊 输入参数

{
  "company_name": {
    "type": "string",
    "required": true,
    "description": "公司名称"
  },
  "pe_ratio": {
    "type": "number",
    "required": true,
    "description": "市盈率"
  },
  "pb_ratio": {
    "type": "number",
    "required": true,
    "description": "市净率"
  },
  "roe": {
    "type": "number",
    "required": true,
    "description": "净资产收益率(%)"
  },
  "industry_position": {
    "type": "string",
    "required": true,
    "description": "行业地位"
  },
  "historical_pe_range": {
    "type": "object",
    "properties": {
      "min": {"type": "number"},
      "max": {"type": "number"},
      "median": {"type": "number"}
    },
    "required": false
  }
}

📤 输出格式

{
  "status": "success",
  "data": {
    "valuation_analysis": {
      "pe_assessment": "低估 | 合理 | 高估",
      "pb_assessment": "低估 | 合理 | 高估",
      "conclusion": "便宜 | 合理 | 贵"
    },
    "quality_analysis": {
      "roe_assessment": "优秀 | 良好 | 一般 | 差",
      "margin_assessment": "优秀 | 良好 | 一般 | 差",
      "position_assessment": "优秀 | 良好 | 一般 | 差",
      "conclusion": "优秀 | 良好 | 一般 | 差"
    },
    "timing_analysis": {
      "market_sentiment": "贪婪 | 恐惧",
      "valuation_percentile": 0,
      "recommendation": "买入 | 观察 | 回避"
    },
    "investment_score": 0,
    "max_score": 10
  }
}

🧪 使用示例

示例:贵州茅台分析

输入:

公司名称:贵州茅台
市盈率:30
市净率:12
ROE: 30%
行业地位:第 1
历史 PE 范围:20-50,中位 35

输出:

【估值分析】
PE: 30 vs 历史中位 35 → 低估
PB: 12 vs 行业平均 8 → 合理
估值结论:合理

【品质分析】
ROE: 30% > 15% → 优秀
毛利率:90% > 30% → 优秀
行业地位:第 1 → 优秀
品质结论:优秀

【时机分析】
市场情绪:中性
估值位置:历史 40% 分位
建议:观察

【综合评分】7/10

📚 核心理念

关键洞察:

  1. 投资就是估值、品质、时机
  2. 好公司 + 好价格=好投资
  3. A 股有自身估值体系
  4. 周期股逆向操作
  5. 别人恐惧我贪婪

健康公式:

好投资 = 好公司 × 好价格 × 好时机

🔗 相关文件

  • templates/simple-investing-template.md - 简单投资模板
  • examples/analysis-examples.md - 完整分析示例集
  • references/qiu-principles.md - 邱国鹭投资原则参考

更新日志

  • v2.0.0 (2026-03-19): 按照 SKILL-STANDARD-v2.md 重构,添加 Front Matter、坑点章节、相关资源 📚
  • v1.0.0 (2026-03-13): 初始版本,邱国鹭投资智慧上线 📚

投资中最简单的事:好公司、好价格、好时机。 📚 ---

🔧 故障排查

| 问题 | 检查项 | 解决方案 | |------|--------|---------| | 不触发 | description 是否包含触发词? | 将关键词加入 description | | 运行失败 | 脚本有执行权限吗? | chmod +x scripts/*.py | | 数据获取失败 | 网络连接正常吗? | 检查网络或 API 状态 | | 数据不足 | Tushare 积分足够吗? | 签到获取更多积分或使用免费数据源 | | 输出异常 | 输入格式正确吗? | 检查股票代码格式(如 600519.SH) |

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Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.