OKTA perps

Perp · OKX · #854 by volume

182.760-0.46% 24h

OKX USDT · 24h 174.840 – 187.600

24h volume: $151.0K; #854 of 914
Open interest: $150.4K; +1.7% contracts · 24h
Spread: 24.2 bps; median · 24h
Size at best price: $507; mean · 24h
Net taker flow: −$17.8K; every contract · 24h
Funding: +0.0621%; per period · OKX

Aperiodic metrics · OKTA · 24 h

Every metric on OKTA, bar by bar →

Are takers buying or selling OKTA?

Flow

Takers sold $17.6K more than they bought on OKX USDT over 24 h; the heaviest hour, 06:25 UTC, saw $8.0K.

+$8.2K0−$8.2K

23:25 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross OKTA's spread?

L1 liquidity

24.2 bps median on OKX USDT, the widest of the 200 most traded perps.

#1BTC0.015 bps
#2ETH0.051 bps
#3SOXL1.56 bps
#5SOL1.25 bps
#10AKE3.18 bps
#25XYZ:XYZ1000.35 bps
#50MUU5.64 bps
#100MVLL8.76 bps
#200AIN2.70 bps
#854OKTA24.2 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at OKTA's best price?

L1 liquidity

$507 at the best bid and ask on OKX USDT, on average, thinner than 82% of the 200 most traded perps.

#1BTC$651.7K
#2ETH$269.8K
#3SOXL$86.9K
#5SOL$157.5K
#10AKE$553
#25XYZ:XYZ100$165.1K
#50MUU$22.4K
#100MVLL$13.7K
#200AIN$180
#854OKTA$507

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is OKTA's book leaning?

L2 imbalance

Leaned to the ask in 16 of 24 hours on OKX USDT; 48% bids over the day.

69% bid031% bid

23:25 UTCnow

l2_imbalance.imbalance_ratio_10OKX USDT · top 10 levels · hourly

Does OKTA trade away from its index?

Basis

14.2 bps above its index on OKX USDT now; 41.3 bps below to 33.6 bps above over 24 h.

+41.3 bps0−41.3 bps

23:25 UTCnow

basis.basis_bpsOKX USDT · hourly

Is leverage building in OKTA?

Open interest

$150.4K open across 1 contract: +1.7% in contracts, +0.9% in dollars over 24 h.

$155.4K$146.1K

23:25 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on OKTA?

Funding

Longs pay +0.0621% a period on OKX USDT; between −0.0753% and +0.0341% over 24 h.

+0.0753%0−0.0753%

23:25 UTCnow

funding.funding_rateOKX USDT · hourly

OKTA's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
OKX USDTperpetual-OKTA-USDT:USDT	182.760	-0.46%	$151.0K	$150.4K	+0.0621%	24.2	Charts →

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

Every chart for OKTA →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: OKTA 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-OKTA-USDT:USDT",
    **PERIOD,
)

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

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

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

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

funding = get_derivative_metrics(
    api_key=API_KEY,
    metric="funding",
    exchange="okx-perps",
    symbol="perpetual-OKTA-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-OKTA-USDT:USDT

182.760

-0.46%

$151.0K

$150.4K

+0.0621%

24.2

Charts →

import os from datetime import date from aperiodic import get_derivative_metrics, get_metrics # aperiodic.io/markets: OKTA 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-OKTA-USDT:USDT", **PERIOD, ) l1_liquidity = get_metrics( api_key=API_KEY, metric="l1_liquidity", exchange="okx-perps", symbol="perpetual-OKTA-USDT:USDT", **PERIOD, ) l2_imbalance = get_metrics( api_key=API_KEY, metric="l2_imbalance", exchange="okx-perps", symbol="perpetual-OKTA-USDT:USDT", **PERIOD, ) basis = get_derivative_metrics( api_key=API_KEY, metric="basis", exchange="okx-perps", symbol="perpetual-OKTA-USDT:USDT", **PERIOD, ) open_interest = get_derivative_metrics( api_key=API_KEY, metric="open_interest", exchange="okx-perps", symbol="perpetual-OKTA-USDT:USDT", **PERIOD, ) funding = get_derivative_metrics( api_key=API_KEY, metric="funding", exchange="okx-perps", symbol="perpetual-OKTA-USDT:USDT", **PERIOD, )