DATA perps

Perp · OKX · #557 by volume

0.09690-1.02% 24h

OKX USDT · 24h 0.09270 – 0.10020

24h volume: $1.6M; #557 of 910
Open interest: $1.0M; +10.5% contracts · 24h
Spread: 10.3 bps; median · 24h
Size at best price: $1.1K; mean · 24h
Net taker flow: +$57.1K; every contract · 24h
Funding: +0.0050%; per period · OKX

Aperiodic metrics · DATA · 24 h

Every metric on DATA, bar by bar →

Are takers buying or selling DATA?

Flow

Takers bought $56.8K more than they sold on OKX USDT over 24 h; the heaviest hour, 19:20 UTC, saw $32.6K.

+$32.6K0−$32.6K

23:20 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross DATA's spread?

L1 liquidity

10.3 bps median on OKX USDT, wider than 97% of the 200 most traded perps.

#1BTC0.014 bps
#2ETH0.051 bps
#3SOXL1.56 bps
#5SOL1.25 bps
#10AKE3.20 bps
#25SP5000.13 bps
#50MUU5.64 bps
#100MVLL8.76 bps
#200AIN2.70 bps
#557DATA10.3 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at DATA's best price?

L1 liquidity

$1.1K at the best bid and ask on OKX USDT, on average, thinner than 67% of the 200 most traded perps.

#1BTC$651.3K
#2ETH$269.7K
#3SOXL$87.0K
#5SOL$157.7K
#10AKE$562
#25SP500$105.4K
#50MUU$22.5K
#100MVLL$13.7K
#200AIN$181
#557DATA$1.1K

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is DATA's book leaning?

L2 imbalance

Leaned to the bid in 20 of 24 hours on OKX USDT; 52% bids over the day.

56% bid044% bid

23:20 UTCnow

l2_imbalance.imbalance_ratio_10OKX USDT · top 10 levels · hourly

Does DATA trade away from its index?

Basis

17.5 bps below its index on OKX USDT now; 9.39 bps to 21.5 bps below over 24 h.

+21.5 bps0−21.5 bps

23:20 UTCnow

basis.basis_bpsOKX USDT · hourly

Is leverage building in DATA?

Open interest

$1.0M open across 1 contract: +10.5% in contracts, +9.4% in dollars over 24 h.

$1.0M$855.4K

23:20 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on DATA?

Funding

Longs pay +0.0050% a period on OKX USDT; between +0.0050% and +0.0050% over 24 h.

+0.0050%0−0.0050%

23:20 UTCnow

funding.funding_rateOKX USDT · hourly

DATA's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
OKX USDTperpetual-DATA-USDT:USDT	0.09690	-1.02%	$1.6M	$1.0M	+0.0050%	10.3	Charts →

History · a year of 5m bars per series · busiest contract

Every chart for DATA →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: DATA on OKX
# 5m bars, 2025-11-12 to 2026-11-12. Install: pip install "aperiodic[polars]"
# Needs an API key (https://aperiodic.io/home/api) on a plan with flow, basis, open_interest, funding (Pro) and l1_liquidity, l2_imbalance (Prime).
# OKX: okx-perps l1_liquidity and l2_liquidity count contracts, not coins (BTC-USDT-SWAP is 0.01 BTC each). Multiply by the contract size to match the page.
API_KEY = os.environ["APERIODIC_API_KEY"]
# timestamp="true" keys bars on capture time, as on the page; "exchange" keys them on exchange time.
PERIOD = dict(
    interval="5m",
    timestamp="true",
    start_date=date(2025, 11, 12),
    end_date=date(2026, 11, 12),
)

flow = get_metrics(
    api_key=API_KEY,
    metric="flow",
    exchange="okx-perps",
    symbol="perpetual-DATA-USDT:USDT",
    **PERIOD,
)

l1_liquidity = get_metrics(
    api_key=API_KEY,
    metric="l1_liquidity",
    exchange="okx-perps",
    symbol="perpetual-DATA-USDT:USDT",
    **PERIOD,
)

l2_imbalance = get_metrics(
    api_key=API_KEY,
    metric="l2_imbalance",
    exchange="okx-perps",
    symbol="perpetual-DATA-USDT:USDT",
    **PERIOD,
)

basis = get_derivative_metrics(
    api_key=API_KEY,
    metric="basis",
    exchange="okx-perps",
    symbol="perpetual-DATA-USDT:USDT",
    **PERIOD,
)

open_interest = get_derivative_metrics(
    api_key=API_KEY,
    metric="open_interest",
    exchange="okx-perps",
    symbol="perpetual-DATA-USDT:USDT",
    **PERIOD,
)

funding = get_derivative_metrics(
    api_key=API_KEY,
    metric="funding",
    exchange="okx-perps",
    symbol="perpetual-DATA-USDT:USDT",
    **PERIOD,
)

Every number is from Aperiodic's own 5-minute bars, 15 minutes behind.

Contract

Price

24h

Volume 24h

Open interest

Funding

Spread

OKX USDTperpetual-DATA-USDT:USDT

0.09690

-1.02%

$1.6M

$1.0M

+0.0050%

10.3

Charts →

import os from datetime import date from aperiodic import get_derivative_metrics, get_metrics # aperiodic.io/markets: DATA on OKX # 5m bars, 2025-11-12 to 2026-11-12. Install: pip install "aperiodic[polars]" # Needs an API key (https://aperiodic.io/home/api) on a plan with flow, basis, open_interest, funding (Pro) and l1_liquidity, l2_imbalance (Prime). # OKX: okx-perps l1_liquidity and l2_liquidity count contracts, not coins (BTC-USDT-SWAP is 0.01 BTC each). Multiply by the contract size to match the page. API_KEY = os.environ["APERIODIC_API_KEY"] # timestamp="true" keys bars on capture time, as on the page; "exchange" keys them on exchange time. PERIOD = dict( interval="5m", timestamp="true", start_date=date(2025, 11, 12), end_date=date(2026, 11, 12), ) flow = get_metrics( api_key=API_KEY, metric="flow", exchange="okx-perps", symbol="perpetual-DATA-USDT:USDT", **PERIOD, ) l1_liquidity = get_metrics( api_key=API_KEY, metric="l1_liquidity", exchange="okx-perps", symbol="perpetual-DATA-USDT:USDT", **PERIOD, ) l2_imbalance = get_metrics( api_key=API_KEY, metric="l2_imbalance", exchange="okx-perps", symbol="perpetual-DATA-USDT:USDT", **PERIOD, ) basis = get_derivative_metrics( api_key=API_KEY, metric="basis", exchange="okx-perps", symbol="perpetual-DATA-USDT:USDT", **PERIOD, ) open_interest = get_derivative_metrics( api_key=API_KEY, metric="open_interest", exchange="okx-perps", symbol="perpetual-DATA-USDT:USDT", **PERIOD, ) funding = get_derivative_metrics( api_key=API_KEY, metric="funding", exchange="okx-perps", symbol="perpetual-DATA-USDT:USDT", **PERIOD, )