polaris-dxz/earnings-tracker
apps/desktop/openclaw-runtime/config/skills/earnings-tracker/SKILL.md
公司财报追踪器。自动追踪科技公司财报发布日期并生成摘要。Keywords: 财报, earnings, financial report.
$ install --global
skillsauthnpx skillsauth add polaris-dxz/xclaw earnings-trackerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- earnings-tracker
- description:
- 公司财报追踪器。自动追踪科技公司财报发布日期并生成摘要。Keywords: 财报, earnings, financial report.
财报追踪器 — 自动追踪科技公司财报并生成投资摘要
概述
自动追踪科技公司财报并生成投资摘要。适用于投资者追踪重仓公司财报日历、自动汇总财报亮点和风险等场景。
触发关键词: 财报, earnings, financial report
前置依赖
pip install yfinance requests pandas
核心能力
能力1：财报日历追踪——自动获取目标公司财报发布日期
财报日历追踪——自动获取目标公司财报发布日期
能力2：市场预期对比——EPS/营收预期vs实际
市场预期对比——EPS/营收预期vs实际
能力3：财报解读——关键指标变化和管理层指引摘要
财报解读——关键指标变化和管理层指引摘要
命令列表
| 命令 | 说明 | 用法 |
|------|------|------|
| track | 追踪财报日期 | python3 scripts/earnings_tracker_tool.py track [参数] |
| preview | 财报预览分析 | python3 scripts/earnings_tracker_tool.py preview [参数] |
| review | 财报解读 | python3 scripts/earnings_tracker_tool.py review [参数] |
使用流程
场景 1
追踪苹果下次财报日期和市场预期
执行：
python3 scripts/earnings_tracker_tool.py track AAPL
场景 2
财报发布前的预期分析
执行：
python3 scripts/earnings_tracker_tool.py preview AAPL
场景 3
解读最新财报关键数据
执行：
python3 scripts/earnings_tracker_tool.py review AAPL --quarter Q1
输出格式
# 📊 财报追踪器报告
**生成时间**: YYYY-MM-DD HH:MM
## 核心发现
1. [关键发现1]
2. [关键发现2]
3. [关键发现3]
## 数据概览
| 指标 | 数值 | 趋势 | 评级 |
|------|------|------|------|
| 指标A | XXX | ↑ | ⭐⭐⭐⭐ |
| 指标B | YYY | → | ⭐⭐⭐ |
## 详细分析
[基于实际数据的多维度分析内容]
## 行动建议
| 优先级 | 建议 | 预期效果 |
|--------|------|----------|
| 🔴 高 | [具体建议] | [量化预期] |
| 🟡 中 | [具体建议] | [量化预期] |
| 🟢 低 | [具体建议] | [量化预期] |
参考资料
原有链接
- Financial Modeling Prep API，财报数据
- 腾讯云量化投资技术参考
- yfinance库，财报日历和收益数据
GitHub
- GitHub: yfinance——财报日历和收益数据
HackerNews
- HackerNews: 自动追踪和分析财报的AI工具
- Reddit r/investing: investing社区AI相关讨论
微信公众号
- 微信公众号: AI财报分析——追踪重仓公司业绩
小红书
- 小红书: AI追踪重仓公司财报日历
注意事项
- 所有分析基于脚本获取的实际数据，不编造数据
- 数据缺失字段标注"数据不可用"而非猜测
- 建议结合人工判断使用，AI分析仅供参考
- 首次使用请先安装Python依赖：
pip install yfinance requests pandas
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