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AXION

Insiders Major Holders

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GET/insiders/:ticker/ownership

Returns aggregated ownership percentages for insiders and institutions, as well as the total number of institutional holders. This is a high-level summary of who owns the company.

Path Parameters

ParameterTypeRequiredDescription
tickerstringRequiredStock ticker symbol

Examples:

https://api.axionquant.com/insiders/AAPL/ownership
https://api.axionquant.com/insiders/MSFT/ownership

Key Response Fields

insidersPercentHeld

Percentage of shares held by company insiders

institutionsPercentHeld

Percentage of shares held by institutions (13F filers)

institutionsFloatPercentHeld

Percentage of the public float held by institutions

institutionsCount

Total number of institutional holders

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Major Holders Breakdown (Apple)

Request

Sample code
1from axion import Axion
2client = Axion(api_key='axn_123')
3
4ownership = client.insiders.ownership('AAPL')
5print(ownership)

Response

{
  "insidersPercentHeld": 0.016970001,
  "institutionsPercentHeld": 0.64405996,
  "institutionsFloatPercentHeld": 0.65518,
  "institutionsCount": 7072
}
GET/insiders/:ticker/transactions

Returns a detailed list of recent insider transactions (Forms 4 and 5). Each entry includes the insider name, relationship, transaction date, shares traded, price, and type of transaction (purchase, sale, gift, etc.).

Path Parameters

ParameterTypeRequiredDescription
tickerstringRequiredStock ticker symbol

Examples:

https://api.axionquant.com/insiders/AAPL/transactions
https://api.axionquant.com/insiders/AAPL/transactions?limit=50

Key Response Fields

shares

Number of shares involved in the transaction

value

Total transaction value (shares × price)

transactionText

Human-readable description of the transaction

filerName

Name of the insider

filerRelation

Title or relationship of the filer

startDate

Transaction date

ownership

Direct (D) or indirect (I) ownership

|

Insider Transactions (Apple)

Request

Sample code
1from axion import Axion
2client = Axion(api_key='axn_123')
3
4transactions = client.insiders.transactions('AAPL')
5print(transactions)

Response

[
  {
    "shares": 3750,
    "value": 0,
    "filerUrl": "",
    "transactionText": "Stock Gift at price 0.00 per share.",
    "filerName": "ADAMS KATHERINE L",
    "filerRelation": "General Counsel",
    "moneyText": "",
    "startDate": "2025-11-12T00:00:00.000Z",
    "ownership": "D"
  },
  {
    "shares": 3752,
    "value": 1017655,
    "filerUrl": "",
    "transactionText": "Sale at price 271.23 per share.",
    "filerName": "KONDO CHRISTOPHER",
    "filerRelation": "Officer",
    "moneyText": "",
    "startDate": "2025-11-07T00:00:00.000Z",
    "ownership": "D"
  }
]

Economic Calendar API

The Economic Data API provides access to datasets and economic calendar events. This data is essential for macroeconomic analysis, forecasting, and understanding market-moving economic indicators across global markets.

GET/profiles/:ticker/calendar

Provides upcoming earnings dates, earnings call dates, and dividend calendar information. Includes consensus estimates for EPS and revenue when available.

Path Parameters

ParameterTypeRequiredDescription
tickerstringRequiredStock ticker symbol

Examples:

https://api.axionquant.com/profiles/AAPL/calendar
https://api.axionquant.com/profiles/MSFT/calendar

Key Response Fields

earnings.earningsDate

Array of expected earnings release dates

earnings.earningsCallDate

Array of expected conference call dates

earnings.earningsAverage, earningsLow, earningsHigh

Analyst EPS estimate range and average

earnings.revenueAverage, revenueLow, revenueHigh

Analyst revenue estimate range and average

exDividendDate, dividendDate

Ex-dividend and payment dates

|

Calendar Events (Apple)

Request

Sample code
1from axion import Axion
2client = Axion(api_key='axn_123')
3
4calendar = client.profiles.calendar('AAPL')
5print(calendar)

Response

{
  "earnings": {
    "earningsDate": ["2026-01-29T21:00:00.000Z"],
    "earningsCallDate": ["2025-10-30T21:00:00.000Z"],
    "isEarningsDateEstimate": true,
    "earningsAverage": 2.6647,
    "earningsLow": 2.51,
    "earningsHigh": 2.76,
    "revenueAverage": 138253076640,
    "revenueLow": 136679500000,
    "revenueHigh": 142741000000
  },
  "exDividendDate": "2025-11-10T00:00:00.000Z",
  "dividendDate": "2025-11-13T00:00:00.000Z"
}