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tech-earnings-deepdive
科技股财报深度分析与多视角投资备忘录系统（v3.0）。覆盖A-P共16大分析模块、6大投资哲学视角、机构级证据标准、反偏见框架和可执行决策体系。当用户提到某科技公司财报分析、季报/年报解读、earnings call、收入增长分析、利润率变化、guidance指引、估值模型、DCF、反向DCF、EV/EBITDA、PEG、Rule of 40、管理层分析、竞争格局、持仓判断、是否买入/卖出/加仓某科技股、某公司最新财报怎么看、帮我做个deep dive、多角度估值、投资大师怎么看这家公司、variant view、key forces、kill conditions、筹码分布、高管团队、合作伙伴生态、宏观政策影响等话题时，务必使用此技能。即使用户只是笼统地问"帮我看看NVDA最新财报"或"META这季度表现如何"或"该不该继续持有MSFT"，也应触发此技能来提供全面的财报分析和多视角投资备忘录。此技能与us-value-investing技能互补——us-value-investing侧重长期价值四维评分，本技能侧重最新财报的深度拆解、多投资哲学的综合判断、以及可执行的持仓决策。
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// RATINGS
// README
📊 Tech Earnings Deep Dive
机构级科技股财报深度分析系统
🚀 快速开始
# 1. 克隆
git clone https://github.com/webleon/tech-earnings-deepdive-openclaw-skill.git
cd tech-earnings-deepdive-openclaw-skill
# 2. 安装依赖
pip3 install yfinance pandas numpy requests edgartools
# 3. 运行
python3 analyze.py AAPL # 单股
python3 analyze_batch.py NVDA AMD # 批量
输出: ~/.openclaw/workspace/output/tech-earnings-deepdive/
📖 核心功能
| 功能 | 说明 |
|---|---|
| 16 模块分析 | 收入/盈利/现金流/竞争等 16 维度 |
| 6 大投资视角 | 巴菲特/芒格/Baillie Gifford 等大师视角 |
| 6 种估值方法 | Owner Earnings/PEG/Reverse DCF 等 |
| MSCI Barra | 质量/成长/价值/情绪/宏观/ESG 六因子 |
| 反偏见框架 | 认知陷阱/财务红旗检查 |
| HTML 报告 | 专业格式投资备忘录 |
📚 完整文档
查看 docs/GUIDE.md 了解：
- 详细功能说明
- 使用指南
- 技术架构
- 评分算法
- 扩展开发
🙏 致谢
基于 Day1Global-Skills 框架开发
📄 许可证
MIT License
⚠️ 免责声明
本工具仅供学习研究，不构成投资建议。
// HOW IT'S BUILT
KEY FILES