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insider-trading

@staskh · 收录于 1 周前

Get insider trading activity (SEC Form 4 filings) for one or more stocks. Use when user asks about insider buying/selling, executive transactions, insider sentiment, or Form 4 activity.

适合你,如果关注上市公司高管交易动向

/ 下载安装
insider-trading.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add staskh/trading_skills/insider-trading
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- staskh/trading_skills/insider-trading
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify staskh/trading_skills/insider-trading
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
288GitHub stars
~323最小装载
~521含声明引用
~521文本包总量
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怎么用

技能原文 SKILL.md作者撰写 · MIT · cc30858

Insider Trading

Fetch recent insider transactions from Yahoo Finance (SEC Form 4 data).

Instructions
Note: If uv is not installed or pyproject.toml is not found, replace uv run python with python in all commands below.
uv run python scripts/insider_trading.py SYMBOLS [--days DAYS]
Arguments
  • SYMBOLS - Single ticker or comma-separated list (e.g., NVDA or NVDA,PLTR,GOOG)
  • --days - Trailing days to look back (default: 90)
Output

Returns JSON with:

  • transactions - List of insider trades with insider name, role, transaction type, shares, price, value, date, ownership type
  • summary - Net sentiment (net_buying, net_selling, neutral), buy/sell counts and values

For multiple symbols, results are ranked by net buying value (most buying first).

Use Cases
  • "Show me insider buys for NVDA in the last 90 days"
  • "Compare insider activity across NVDA, PLTR, GOOG"
  • "Which of these stocks has the most insider selling recently?"
Dependencies
  • yfinance
Timezone

All timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.

按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

评论

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