JNJ perps

Perp · OKX · #897 by volume

286.500+0.88% 24h

OKX USDT · 24h 280.830 – 287.930

24h volume: $44.0K; #897 of 924
Open interest: $164.9K; +7.4% contracts · 24h
Spread: 17.5 bps; median · 24h
Size at best price: $285; mean · 24h
Net taker flow: −$18.3K; every contract · 24h
Funding: +0.0000%; per period · OKX

Aperiodic metrics · JNJ · 24 h

Every metric on JNJ, bar by bar →

Are takers buying or selling JNJ?

Flow

Takers sold $18.3K more than they bought on OKX USDT over 24 h; the heaviest hour, 15:05 UTC, saw $10.2K.

+$10.2K0−$10.2K

00:05 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross JNJ's spread?

L1 liquidity

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

#1BTC0.015 bps
#2ETH0.052 bps
#3SOXL1.56 bps
#5SOL1.25 bps
#10AKE3.12 bps
#25XYZ:XYZ1000.35 bps
#50MUU5.65 bps
#100QNT0.62 bps
#200AIN2.69 bps
#897JNJ17.5 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at JNJ's best price?

L1 liquidity

$285 at the best bid and ask on OKX USDT, on average, thinner than 91% of the 200 most traded perps.

#1BTC$649.6K
#2ETH$267.0K
#3SOXL$87.0K
#5SOL$156.2K
#10AKE$543
#25XYZ:XYZ100$170.7K
#50MUU$22.1K
#100QNT$757
#200AIN$180
#897JNJ$285

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is JNJ's book leaning?

L2 imbalance

Leaned to the bid in 18 of 24 hours on OKX USDT; 58% bids over the day.

76% bid024% bid

00:05 UTCnow

l2_imbalance.imbalance_ratio_10OKX USDT · top 10 levels · hourly

Does JNJ trade away from its index?

Basis

17.8 bps below its index on OKX USDT now; 27.3 bps below to 3.33 bps above over 24 h.

+27.3 bps0−27.3 bps

00:05 UTCnow

basis.basis_bpsOKX USDT · hourly

Is leverage building in JNJ?

Open interest

$164.9K open across 1 contract: +7.4% in contracts, +8.4% in dollars over 24 h.

$165.7K$151.9K

00:05 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on JNJ?

Funding

Longs pay +0.0000% a period on OKX USDT; between +0.0000% and +0.0000% over 24 h.

+0.0000%0+0.0000%

00:05 UTCnow

funding.funding_rateOKX USDT · hourly

JNJ's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
OKX USDTperpetual-JNJ-USDT:USDT	286.500	+0.88%	$44.0K	$164.9K	+0.0000%	17.5	Charts →

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

Every chart for JNJ →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: JNJ on OKX
# 5m bars, 2025-11-13 to 2026-11-13. 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, 13),
    end_date=date(2026, 11, 13),
)

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

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

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

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

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

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

286.500

+0.88%

$44.0K

$164.9K

+0.0000%

17.5

Charts →

import os from datetime import date from aperiodic import get_derivative_metrics, get_metrics # aperiodic.io/markets: JNJ on OKX # 5m bars, 2025-11-13 to 2026-11-13. 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, 13), end_date=date(2026, 11, 13), ) flow = get_metrics( api_key=API_KEY, metric="flow", exchange="okx-perps", symbol="perpetual-JNJ-USDT:USDT", **PERIOD, ) l1_liquidity = get_metrics( api_key=API_KEY, metric="l1_liquidity", exchange="okx-perps", symbol="perpetual-JNJ-USDT:USDT", **PERIOD, ) l2_imbalance = get_metrics( api_key=API_KEY, metric="l2_imbalance", exchange="okx-perps", symbol="perpetual-JNJ-USDT:USDT", **PERIOD, ) basis = get_derivative_metrics( api_key=API_KEY, metric="basis", exchange="okx-perps", symbol="perpetual-JNJ-USDT:USDT", **PERIOD, ) open_interest = get_derivative_metrics( api_key=API_KEY, metric="open_interest", exchange="okx-perps", symbol="perpetual-JNJ-USDT:USDT", **PERIOD, ) funding = get_derivative_metrics( api_key=API_KEY, metric="funding", exchange="okx-perps", symbol="perpetual-JNJ-USDT:USDT", **PERIOD, )