See which insiders are filing to sell - and how much. Provide one or more tickers and get their recent Form 144 notices from SEC EDGAR: who is selling, their relationship to the company (officer, director, affiliate) and the proposed dollar value of the sale - parsed, scored by impact and ranked. A curated insider-selling signal, not a raw filing dump.
What it does
- Seller and relationship: the named insider and whether they are an officer, director or affiliate.
- Proposed dollar value: the aggregate market value of the planned sale, parsed from the structured Form 144 XML.
- Impact score 0-100 from sale size plus recency; a per-company total proposed-sell value.
- A direct SEC.gov link for every notice.
Who uses insider-selling data
- Traders and quants pairing insider selling with insider buying (Form 4).
- Fintech and research apps embedding planned-sale signals.
- Research and risk teams tracking insider distribution around earnings, lock-ups and highs.
How it works
The tool reads the official SEC EDGAR submissions API (free, public, JSON), maps each ticker to its CIK, filters Form 144 filings, then parses each filing's structured XML to extract the seller, relationship and proposed dollar value. Clean and stable.
Example
TSLA in live data: Kimbal Musk (Director) filed to sell ~$24.98M of common stock; CFO Vaibhav Taneja filed a ~$1.05M sale. Largest and most recent planned sales rank first.
FAQ
What is a Form 144?
A notice filed when an insider proposes to sell restricted or control securities. It signals intent to sell, ahead of the actual transaction (which later shows on Form 4).
Does a Form 144 mean the shares were sold?
No - it is a notice of intent, a leading indicator.
Is this investment advice?
No. It is data for research and monitoring.
Use with AI agents and automation
This runs as an Apify Actor, so it drops into your stack with no scraping or glue code: - AI agents and LLMs: call it as a live tool from LangChain, LlamaIndex or Flowise, or over MCP. - No-code automation: wire it to Zapier or Make (large planned sell -> Slack, Google Sheets or email). - Webhooks and pipelines: fire a webhook on each run, or chain it into another DataSignals Lab product. - API and schedule: JSON output, on demand or on a daily schedule.