SOFTBANK perps

Perp · OKX · #840 by volume

21.860-8.99% 24h

OKX USDT · 24h 21.300 – 24.330

24h volume: $201.9K; #840 of 914
Open interest: $167.4K; +4.0% contracts · 24h
Spread: 22.2 bps; median · 24h
Size at best price: $328; mean · 24h
Net taker flow: −$15.6K; every contract · 24h
Funding: +0.0000%; per period · OKX

Aperiodic metrics · SOFTBANK · 24 h

Every metric on SOFTBANK, bar by bar →

Are takers buying or selling SOFTBANK?

Flow

Takers sold $15.6K more than they bought on OKX USDT over 24 h; the heaviest hour, 23:25 UTC, saw $13.9K.

+$13.9K0−$13.9K

23:25 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross SOFTBANK's spread?

L1 liquidity

22.2 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
#840SOFTBANK22.2 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at SOFTBANK's best price?

L1 liquidity

$328 at the best bid and ask on OKX USDT, on average, thinner than 90% 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
#840SOFTBANK$328

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is SOFTBANK's book leaning?

L2 imbalance

Leaned to the bid in 17 of 24 hours on OKX USDT; 55% bids over the day.

67% bid033% bid

23:25 UTCnow

l2_imbalance.imbalance_ratio_10OKX USDT · top 10 levels · hourly

Does SOFTBANK trade away from its index?

Basis

54.7 bps below its index on OKX USDT now; 41.3 bps below to 74.8 bps above over 24 h.

+74.8 bps0−74.8 bps

23:25 UTCnow

basis.basis_bpsOKX USDT · hourly

Is leverage building in SOFTBANK?

Open interest

$167.4K open across 1 contract: +4.0% in contracts, −6.8% in dollars over 24 h.

$186.2K$168.2K

23:25 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on SOFTBANK?

Funding

Longs pay +0.0000% a period on OKX USDT; between −0.0001% and +0.0304% over 24 h.

+0.0304%0−0.0304%

23:25 UTCnow

funding.funding_rateOKX USDT · hourly

SOFTBANK's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
OKX USDTperpetual-SOFTBANK-USDT:USDT	21.860	-8.99%	$201.9K	$167.4K	+0.0000%	22.2	Charts →

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

Every chart for SOFTBANK →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

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

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

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

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

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

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

21.860

-8.99%

$201.9K

$167.4K

+0.0000%

22.2

Charts →

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