BX perps

Perp · OKX, Binance · #482 by volume

119.150+0.18% 24h

OKX USDT · 24h 117.440 – 120.550

24h volume: $2.2M; #482 of 914
Open interest: $977.5K; −7.4% contracts · 24h
Spread: 10.9 bps; median · 24h
Size at best price: $3.0K; mean · 24h
Net taker flow: −$11.8K; every contract · 24h
Funding: +0.0142%; per period · OKX

Aperiodic metrics · BX · 24 h

Every metric on BX, bar by bar →

Are takers buying or selling BX?

Flow

Takers sold $11.8K more than they bought on OKX and Binance over 24 h; the heaviest hour, 14:25 UTC, saw $43.7K.

+$55.3K0−$55.3K

23:25 UTCnow

flow.volume_delta_notionalbusiest contract on each venue · hourly · 24 h

What does it cost to cross BX's spread?

L1 liquidity

10.9 bps median on OKX USDT, wider than 98% 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
#482BX10.9 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at BX's best price?

L1 liquidity

$3.0K at the best bid and ask on OKX USDT, on average, deeper than 56% 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
#482BX$3.0K

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is BX's book leaning?

L2 imbalance

Leaned to the bid in 15 of 24 hours on OKX USDT; 50% bids over the day.

64% bid036% bid

23:25 UTCnow

l2_imbalance.imbalance_ratio_10OKX USDT · top 10 levels · hourly

Where does BX trade?

OHLCV

OKX USDT took 50% of $2.2M traded in 24 h; the tightest spread is Binance USDT's, 5.03 bps.

volume sharespread

OKX USDT50%10.9
Binance USDT50%5.03

ohlcv.volume_notionaleach contract · 24 h

Does BX trade away from its index?

Basis

35.4 bps above its index on OKX USDT now; 56.7 bps below to 23.6 bps above over 24 h.

+56.7 bps0−56.7 bps

23:25 UTCnow

basis.basis_bpsOKX USDT · hourly

Is leverage building in BX?

Open interest

$977.5K open across 2 contracts: −7.4% in contracts, −6.9% in dollars over 24 h.

$1.1M$985.1K

23:25 UTCnow

open_interest.open_interestbusiest contract on each venue · hourly

Who pays funding on BX?

Funding

Longs pay on 2 of 2 contracts; OKX USDT charges +0.0142% a period.

OKX USDT+0.0142%
Binance USDT+0.0229%

← shorts paylongs pay →

funding.funding_rateeach contract · per funding period · now

BX's 2 contracts · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
OKX USDTperpetual-BX-USDT:USDT	119.150	+0.18%	$1.1M	$141.7K	+0.0142%	10.9	Charts →
Binance USDTperpetual-BX-USDT:USDT	119.320	+0.37%	$1.1M	$835.8K	+0.0229%	5.03	Charts →

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

Every chart for BX →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: BX on OKX and Binance
# 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),
)
CONTRACTS = [
    ("okx-perps", "perpetual-BX-USDT:USDT"),
    ("binance-futures", "perpetual-BX-USDT:USDT"),
]

frames = {}
for exchange, symbol in CONTRACTS:
    frames["flow", exchange, symbol] = get_metrics(
        api_key=API_KEY,
        metric="flow",
        exchange=exchange,
        symbol=symbol,
        **PERIOD,
    )
    frames["l1_liquidity", exchange, symbol] = get_metrics(
        api_key=API_KEY,
        metric="l1_liquidity",
        exchange=exchange,
        symbol=symbol,
        **PERIOD,
    )
    frames["l2_imbalance", exchange, symbol] = get_metrics(
        api_key=API_KEY,
        metric="l2_imbalance",
        exchange=exchange,
        symbol=symbol,
        **PERIOD,
    )
    frames["basis", exchange, symbol] = get_derivative_metrics(
        api_key=API_KEY,
        metric="basis",
        exchange=exchange,
        symbol=symbol,
        **PERIOD,
    )
    frames["open_interest", exchange, symbol] = get_derivative_metrics(
        api_key=API_KEY,
        metric="open_interest",
        exchange=exchange,
        symbol=symbol,
        **PERIOD,
    )
    frames["funding", exchange, symbol] = get_derivative_metrics(
        api_key=API_KEY,
        metric="funding",
        exchange=exchange,
        symbol=symbol,
        **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-BX-USDT:USDT

119.150

+0.18%

$1.1M

$141.7K

+0.0142%

10.9

Charts →

Binance USDTperpetual-BX-USDT:USDT

119.320

+0.37%

$1.1M

$835.8K

+0.0229%

5.03

Charts →

import os from datetime import date from aperiodic import get_derivative_metrics, get_metrics # aperiodic.io/markets: BX on OKX and Binance # 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), ) CONTRACTS = [ ("okx-perps", "perpetual-BX-USDT:USDT"), ("binance-futures", "perpetual-BX-USDT:USDT"), ] frames = {} for exchange, symbol in CONTRACTS: frames["flow", exchange, symbol] = get_metrics( api_key=API_KEY, metric="flow", exchange=exchange, symbol=symbol, **PERIOD, ) frames["l1_liquidity", exchange, symbol] = get_metrics( api_key=API_KEY, metric="l1_liquidity", exchange=exchange, symbol=symbol, **PERIOD, ) frames["l2_imbalance", exchange, symbol] = get_metrics( api_key=API_KEY, metric="l2_imbalance", exchange=exchange, symbol=symbol, **PERIOD, ) frames["basis", exchange, symbol] = get_derivative_metrics( api_key=API_KEY, metric="basis", exchange=exchange, symbol=symbol, **PERIOD, ) frames["open_interest", exchange, symbol] = get_derivative_metrics( api_key=API_KEY, metric="open_interest", exchange=exchange, symbol=symbol, **PERIOD, ) frames["funding", exchange, symbol] = get_derivative_metrics( api_key=API_KEY, metric="funding", exchange=exchange, symbol=symbol, **PERIOD, )