Insider API

Executive Trading Behavior, Tracked Daily and Structured for Investment Analysis
Author:Will ShawWill Shaw
Reviewed by:Charlie TianCharlie Tian
Fact checked by:Vera YuanVera Yuan
Updated June 9, 2026

Returns insider transactions from a specified date, including the insider's name, title, company, transaction type (buy/sell), shares traded, price, and total cost.

GET/insiders/{date}

Path Parameters

Name Type Example Description
datestring2025-01-01-

Auth

headers: { 'Authorization': 'Replace with your API token' }

Examples

fetch('https://api.gurufocus.com/data/insiders/2025-01-01', { method: 'GET', headers: { 'Authorization': 'Replace with your API token' }})

Responses

Successful response. The exact payload fields depend on this endpoint.

Example Body (Field Reference)

[ { "id": 22057219, "name": "Barkin Michael Z", "position": "President", "cik_reporting": "0001571970", "stockid": "US2AXF", "symbol": "YOU", "exchange": "NYSE", "company": "Clear Secure Inc", "date": "2026-03-01", "type": "S", "trans_share": "29941", "price": "48.22", "final_share": "5669", "split_factor": "1", "cost": "1443760" }, { "id": 22040021, "name": "Hood Lewis Randolph Jr", "position": "Director", "cik_reporting": "0001691723", "stockid": "US2EX2", "symbol": "NA", "exchange": "NAS", "company": "Nano Labs Ltd", "date": "2026-03-01", "type": "P", "trans_share": "65189", "price": "7.67", "final_share": "", "split_factor": "1", "cost": "500000" }, { "id": 22014240, "name": "Wambeke David J.", "position": "Chief Business Officer", "cik_reporting": "0001971798", "stockid": "US0MRZ", "symbol": "NMTC", "exchange": "NAS", "company": "NeuroOne Medical Technologies Corp", "date": "2026-03-01", "type": "P", "trans_share": "1000000", "price": "0.67", "final_share": "1000000", "split_factor": "1", "cost": "670000" }]

Introcution

The GuruFocus Insider Trading Dataset offers a complete historical record of open market transactions by corporate insiders across all publicly traded companies. Spanning back to 2004 and updated daily, this dataset provides clear, structured visibility into executive-level buying and selling activity—making it a powerful input for investment research, compliance tools, and data-driven strategies.

Used by asset managers, quant teams, and research platforms, this dataset helps surface conviction signals, behavioral trends, and potential red flags.

What’s Included

This dataset captures key details of insider transactions with consistency and precision:

  • Insider Identity & Role
    Captures the insider’s name, title or relationship to the company (e.g., CEO, Director, 10% Owner), and mapped ticker symbol and company name.
  • Transaction Details
    Includes trade type (buy/sell), number of shares traded, execution price, transaction date, and pre-/post-transaction ownership. All entries include relevant filing codes (Form 4, transaction classification, etc.).
  • Historical Depth & Market Coverage
    Contains over 1 million transactions going back to 2003 (U.S.) and 2013 (Canada), with hourly or twice-daily updates depending on region. Covers more than 100,000 insiders and thousands of stocks across the U.S. and Canada.

All transactions are mapped to ticker symbols, enabling direct integration with stock-level analytics or monitoring dashboards.

Data Coverage

USA

 Total Panel SizeMonthly Panel Size
Insiders100,000+1,000 - 4,000
Stocks9,000+500 - 2,000
Transactions1,000,000+1,000 - 7,000

Canada

 Total Panel SizeMonthly Panel Size
Insiders10,000+300 - 1,000
Stocks3,000+200 - 700
Transactions340,000+1,000 - 5,000

Use Cases

This dataset supports a wide range of professional use cases:

  • Behavioral finance models focused on executive conviction
  • Research dashboards showing recent insider trades for covered stocks
  • Screeners and alerts based on insider accumulation or distribution
  • Compliance tools requiring clear, auditable insider transaction logs
  • Longitudinal studies of insider activity relative to performance

Extend Your Capabilities

For broader insights, combine with:

All datasets are aligned by ticker, date, and role, making integration seamless.

Response Reference

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