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Open Interest

Open interest values with percentage change, volatility, and OI/price change ratio.

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open_interest

Open Interest

Open Interest tracks the total outstanding derivatives exposure and serves as the balance-sheet backdrop for price action.

Rising open interest means new positions are being opened or expanded, while falling open interest suggests risk is being reduced or closed out.

open_interest_pct_change

Open Interest % Change

Open Interest % Change shows how quickly positioning expanded or contracted over the interval.

This is often more informative than the raw level because it makes sudden positioning events immediately visible.

open_interest_volatility

Open Interest Volatility

Open Interest Volatility measures how unstable outstanding positioning was inside the bar.

High values can indicate frequent leverage adjustments, position recycling, or stress-driven churn rather than steady accumulation.

oi_price_change_ratio

OI/Price Change Ratio

OI/Price Change Ratio compares how much positioning changed relative to the magnitude of the price move.

It helps answer whether price action was accompanied by substantial leverage participation or happened mostly without new positioning.

Open interest (OI) — the total number of outstanding derivative contracts — measures how much leverage the system is carrying. But raw OI is static information. Changes in OI, and their relationship to price, reveal the market's structural state in ways that price alone cannot.

Endpoint

/api/v1/data/open_interest

Category

Derivatives

Intervals
1m5m15m30m1h4h1d
Exchanges
binance-futuresokx-perpshyperliquid-perps
Fields4
open_interestOpen InterestLast open interest value in the interval
open_interest_pct_changeOpen Interest % ChangePercentage change in open interest from the first value to the last value in the interval
open_interest_volatilityOpen Interest VolatilityStandard deviation of tick-to-tick open-interest percentage changes in the interval
oi_price_change_ratioOI/Price Change RatioOpen-interest return divided by mark-price return over the interval
Example Request
from datetime import date
from aperiodic import get_derivative_metrics

# Free preview — no API key required
df = get_derivative_metrics(
    metric="open_interest",
    exchange="binance-futures",
    symbol="perpetual-BTC-USDT:USDT",
    interval="5m",
    timestamp="exchange",
    start_date=date(2025, 5, 1),
    end_date=date(2025, 5, 31),
    preview=True,
)

print(df.head())

Query Parameters

timestampreqstring
string

Timestamp source. 'exchange' uses the exchange-reported timestamp, 'true' uses actual arrival time at our servers.

exchangetrue
intervalreqstring
string

Aggregation time interval for the data.

1m5m15m30m1h4h1d
exchangereqstring
string

Source exchange for the data.

binance-futuresokx-perpshyperliquid-perps
symbolreqstring
string

Trading pair symbol in the format of Atlas' universal symbology: https://github.com/aperiodic-io/atlas

start_datereqstring<date>
string<date>

Start date for the data range (YYYY-MM-DD format). Data is partitioned by year and month.

end_datereqstring<date>
string<date>

End date for the data range (YYYY-MM-DD format). Must be greater than or equal to start_date.

Successful response with download URLs for every file covering the range — one per month before 2026-08-01, one per day from 2026-08-01 onwards

Schema
filesobject[]required

Files covering the requested date range, in chronological order. Data before 2026-08-01 is split by month (one file per calendar month, no `day`); data from 2026-08-01 onwards is split by day (one file per calendar day, with `day` set). The changeover falls on a month boundary, so a given month is served entirely one way or the other; a range spanning it returns the earlier months as monthly files followed by a daily file per day.

yearintegerrequired

Year of the data file

monthintegerrequired

Month of the data file (1-12)

dayinteger

Day of the data file (1-31). Present only on daily files, i.e. those covering 2026-08-01 onwards. Absent on monthly files, which cover an entire calendar month.

urlstring<uri>required

Presigned URL for direct file download (valid for 5 minutes). URLs are served from dataset-specific subdomains, e.g. ohlcv.aperiodic.io, trade-metrics.aperiodic.io, l1-metrics.aperiodic.io, l2-metrics.aperiodic.io, derivative-metrics.aperiodic.io.

Example
{
  "files": [
    {
      "year": 2026,
      "month": 6,
      "url": "https://ohlcv.aperiodic.io/binance-futures/1h/BTCUSDT/2026-06.parquet?X-Amz-Expires=300&..."
    },
    {
      "year": 2026,
      "month": 7,
      "url": "https://ohlcv.aperiodic.io/binance-futures/1h/BTCUSDT/2026-07.parquet?X-Amz-Expires=300&..."
    },
    {
      "year": 2026,
      "month": 8,
      "day": 1,
      "url": "https://ohlcv.aperiodic.io/binance-futures/1h/BTCUSDT/2026-08-01.parquet?X-Amz-Expires=300&..."
    },
    {
      "year": 2026,
      "month": 8,
      "day": 2,
      "url": "https://ohlcv.aperiodic.io/binance-futures/1h/BTCUSDT/2026-08-02.parquet?X-Amz-Expires=300&..."
    }
  ]
}
Try It

Prefilled with the shared DEMO-KEY and a free preview slice — send the request to see live data, no account required.

Suggestions shown — any valid value accepted
Suggestions shown — any valid value accepted
Suggestions shown — any valid value accepted
Authentication
GET/api/v1/data/preview/open_interest?timestamp=exchange&interval=5m&exchange=binance-futures&symbol=perpetual-BTC-USDT%3AUSDT&start_date=2025-05-01&end_date=2025-05-31
Response will appear here

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Use with AI Agents

Access Open Interest programmatically via our Python SDK and REST API — optimised for autonomous research workflows.

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Crypto microstructure, liquidity & flow metrics — built from hundreds of terabytes of raw data, distilled into point-in-time metrics you can pull as parquet files.

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