IO:IONQ perps

Perp · Hyperliquid · #849 by volume

28.647-7.85% 24h

Hyperliquid io USDC · 24h 28.336 – 31.387

24h volume: $173.5K; #849 of 914
Open interest: $192.0K; +181.0% contracts · 24h
Spread: 29.9 bps; median · 24h
Size at best price: $9.1K; mean · 24h
Net taker flow: −$35.3K; every contract · 24h
Funding: +0.0007%; per period · HL

Aperiodic metrics · IO:IONQ · 24 h

Every metric on IO:IONQ, bar by bar →

Are takers buying or selling IO:IONQ?

Flow

Takers sold $35.3K more than they bought on Hyperliquid io USDC over 24 h; the heaviest hour, 14:25 UTC, saw $59.6K.

+$59.6K0−$59.6K

23:25 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross IO:IONQ's spread?

L1 liquidity

29.9 bps median on Hyperliquid io USDC, 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
#849IO:IONQ29.9 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at IO:IONQ's best price?

L1 liquidity

$9.1K at the best bid and ask on Hyperliquid io USDC, on average, deeper than 74% 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
#849IO:IONQ$9.1K

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is IO:IONQ's book leaning?

L2 imbalance

Leaned to the bid in 15 of 24 hours on Hyperliquid io USDC; 54% bids over the day.

68% bid032% bid

23:25 UTCnow

l2_imbalance.imbalance_ratio_10Hyperliquid io USDC · top 10 levels · hourly

Does IO:IONQ trade away from its index?

Basis

9.48 bps above its index on Hyperliquid io USDC now; 3.38 bps below to 34.3 bps above over 24 h.

+34.3 bps0−34.3 bps

23:25 UTCnow

basis.basis_bpsHyperliquid io USDC · hourly

Is leverage building in IO:IONQ?

Open interest

$192.0K open across 1 contract: +181.0% in contracts, +156.6% in dollars over 24 h.

$196.5K$73.5K

23:25 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on IO:IONQ?

Funding

Longs pay +0.0007% a period on Hyperliquid io USDC; between −0.0033% and +0.0105% over 24 h.

+0.0105%0−0.0105%

23:25 UTCnow

funding.funding_rateHyperliquid io USDC · hourly

IO:IONQ's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Hyperliquid io USDCperpetual-IO:IONQ-USDC:USDC	28.647	-7.85%	$173.5K	$192.0K	+0.0007%	29.9	Charts →

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

Every chart for IO:IONQ →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: IO:IONQ on Hyperliquid
# 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).
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="hyperliquid-perps",
    symbol="perpetual-IO:IONQ-USDC:USDC",
    **PERIOD,
)

l1_liquidity = get_metrics(
    api_key=API_KEY,
    metric="l1_liquidity",
    exchange="hyperliquid-perps",
    symbol="perpetual-IO:IONQ-USDC:USDC",
    **PERIOD,
)

l2_imbalance = get_metrics(
    api_key=API_KEY,
    metric="l2_imbalance",
    exchange="hyperliquid-perps",
    symbol="perpetual-IO:IONQ-USDC:USDC",
    **PERIOD,
)

basis = get_derivative_metrics(
    api_key=API_KEY,
    metric="basis",
    exchange="hyperliquid-perps",
    symbol="perpetual-IO:IONQ-USDC:USDC",
    **PERIOD,
)

open_interest = get_derivative_metrics(
    api_key=API_KEY,
    metric="open_interest",
    exchange="hyperliquid-perps",
    symbol="perpetual-IO:IONQ-USDC:USDC",
    **PERIOD,
)

funding = get_derivative_metrics(
    api_key=API_KEY,
    metric="funding",
    exchange="hyperliquid-perps",
    symbol="perpetual-IO:IONQ-USDC:USDC",
    **PERIOD,
)

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

Contract

Price

24h

Volume 24h

Open interest

Funding

Spread

Hyperliquid io USDCperpetual-IO:IONQ-USDC:USDC

28.647

-7.85%

$173.5K

$192.0K

+0.0007%

29.9

Charts →

import os from datetime import date from aperiodic import get_derivative_metrics, get_metrics # aperiodic.io/markets: IO:IONQ on Hyperliquid # 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). 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="hyperliquid-perps", symbol="perpetual-IO:IONQ-USDC:USDC", **PERIOD, ) l1_liquidity = get_metrics( api_key=API_KEY, metric="l1_liquidity", exchange="hyperliquid-perps", symbol="perpetual-IO:IONQ-USDC:USDC", **PERIOD, ) l2_imbalance = get_metrics( api_key=API_KEY, metric="l2_imbalance", exchange="hyperliquid-perps", symbol="perpetual-IO:IONQ-USDC:USDC", **PERIOD, ) basis = get_derivative_metrics( api_key=API_KEY, metric="basis", exchange="hyperliquid-perps", symbol="perpetual-IO:IONQ-USDC:USDC", **PERIOD, ) open_interest = get_derivative_metrics( api_key=API_KEY, metric="open_interest", exchange="hyperliquid-perps", symbol="perpetual-IO:IONQ-USDC:USDC", **PERIOD, ) funding = get_derivative_metrics( api_key=API_KEY, metric="funding", exchange="hyperliquid-perps", symbol="perpetual-IO:IONQ-USDC:USDC", **PERIOD, )