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AXION

Corp. Intelligence Snapshot

GET/profiles/:ticker/summary

Retrieves current trading statistics, valuation multiples, dividend information, and 52-week price range. Ideal for a quick snapshot of a stock's market performance.

Path Parameters

ParameterTypeRequiredDescription
tickerstringRequiredStock ticker symbol

Examples:

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

Key Response Fields

previousClose, open, dayLow, dayHigh

Daily trading prices

volume, averageVolume

Current and average trading volume

marketCap

Market capitalization

trailingPE, forwardPE

Price-to-earnings ratios (past & forward)

dividendRate, dividendYield, exDividendDate

Dividend information

fiftyTwoWeekLow, fiftyTwoWeekHigh

52-week price range

beta

Volatility measure relative to market

|

Stock Summary (Apple)

Request

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

Response

{
  "previousClose": 271.84,
  "open": 273.605,
  "dayLow": 266.96,
  "dayHigh": 273.62,
  "volume": 51509672,
  "averageVolume": 46958041,
  "marketCap": 4039405731840,
  "trailingPE": 36.49,
  "forwardPE": 29.84,
  "dividendRate": 1.04,
  "dividendYield": 0.0038,
  "exDividendDate": "2025-11-10T00:00:00.000Z",
  "fiftyTwoWeekLow": 169.21,
  "fiftyTwoWeekHigh": 288.62,
  "beta": 1.107
}
GET/profiles/:ticker/statistics

Provides fundamental financial metrics including enterprise value, shares outstanding, short interest, insider/institutional ownership, and valuation ratios.

Path Parameters

ParameterTypeRequiredDescription
tickerstringRequiredStock ticker symbol

Examples:

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

Key Response Fields

enterpriseValue

Market cap + debt - cash

forwardPE, profitMargins

Forward P/E and net profit margin

floatShares, sharesOutstanding

Shares available for trading and total outstanding

sharesShort, shortRatio, shortPercentOfFloat

Short interest metrics

heldPercentInsiders, heldPercentInstitutions

Ownership percentages

bookValue, priceToBook

Book value per share and P/B ratio

lastSplitDate, lastSplitFactor

Most recent stock split

|

Key Statistics (Apple)

Request

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

Response

{
  "enterpriseValue": 4079655583744,
  "forwardPE": 29.84,
  "profitMargins": 0.269,
  "floatShares": 14750642146,
  "sharesOutstanding": 14776353000,
  "sharesShort": 129458559,
  "shortRatio": 2.64,
  "shortPercentOfFloat": 0.0088,
  "heldPercentInsiders": 0.01697,
  "heldPercentInstitutions": 0.64406,
  "beta": 1.107,
  "bookValue": 4.991,
  "priceToBook": 54.54,
  "lastSplitFactor": "4:1",
  "lastSplitDate": 1598832000
}
GET/profiles/:ticker/recommendation

Returns analyst consensus recommendations over the last four periods (current month and three prior months). Shows the number of analysts rating the stock as Strong Buy, Buy, Hold, Sell, and Strong Sell.

Path Parameters

ParameterTypeRequiredDescription
tickerstringRequiredStock ticker symbol

Examples:

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

Response Fields

period

Time period relative to current month ("0m", "-1m", etc.)

strongBuy, buy, hold, sell, strongSell

Number of analysts with each rating

|

Recommendation Trends (Apple)

Request

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

Response

[
  {
    "period": "0m",
    "strongBuy": 5,
    "buy": 24,
    "hold": 15,
    "sell": 1,
    "strongSell": 3
  },
  {
    "period": "-1m",
    "strongBuy": 5,
    "buy": 24,
    "hold": 15,
    "sell": 1,
    "strongSell": 3
  },
  {
    "period": "-2m",
    "strongBuy": 5,
    "buy": 24,
    "hold": 15,
    "sell": 1,
    "strongSell": 3
  },
  {
    "period": "-3m",
    "strongBuy": 5,
    "buy": 23,
    "hold": 15,
    "sell": 1,
    "strongSell": 3
  }
]