A specialized tool for fetching real-time SEC Form 4 insider trading data from OpenInsider to track corporate executive signals.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openinsider
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install openinsider using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The OpenInsider skill allows developers and traders to programmatically access insider trading data directly from SEC Form 4 filings. By integrating this into Openclaw Skills, users can automate the surveillance of corporate officers, directors, and major shareholders to identify high-conviction buying or selling patterns. This tool simplifies the process of gathering market intelligence by scraping and parsing complex data tables into a structured format usable for financial analysis.
To use this skill, you must have Python 3 installed. Follow these steps to configure the environment:
pip3 install pandas requests lxml
Once dependencies are installed, you can fetch trades using the script path:
skills/openinsider/scripts/fetch_trades.py TICKER --limit 10
The skill returns structured data containing the following fields:
| Field | Description |
|---|---|
| filing_date | The date the SEC Form 4 was officially filed. |
| trade_date | The actual date the transaction occurred. |
| insider_name | The full name of the reporting individual. |
| title | Corporate role (e.g., CEO, CFO, Director). |
| trade_type | Transaction type: Purchase (P) or Sale (S). |
| price | The price per share at which the trade was executed. |
| qty | The total number of shares involved in the transaction. |
| value | The total dollar value of the trade. |
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