IO:GPRO perps

Perp · Hyperliquid · #909 by volume

0.63296

Hyperliquid io USDC · 24h 0.62631 – 0.69131

24h volume: $15.1K; #909 of 914
Open interest: $56.4K; +1.8% contracts · 24h
Spread: 79.0 bps; median · 24h
Size at best price: $2.0K; mean · 24h
Net taker flow: +$2.6K; every contract · 24h
Funding: −0.0085%; per period · HL

Aperiodic metrics · IO:GPRO · 24 h

Every metric on IO:GPRO, bar by bar →

Are takers buying or selling IO:GPRO?

Flow

Takers bought $2.6K more than they sold on Hyperliquid io USDC over 24 h; the heaviest hour, 18:25 UTC, saw $2.0K.

+$2.0K0−$2.0K

23:25 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

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

L1 liquidity

79.0 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
#909IO:GPRO79.0 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

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

L1 liquidity

$2.0K at the best bid and ask on Hyperliquid io USDC, on average, thinner than 54% 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
#909IO:GPRO$2.0K

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is IO:GPRO's book leaning?

L2 imbalance

Leaned to the bid in 15 of 24 hours on Hyperliquid io USDC; 53% bids over the day.

67% bid033% bid

23:25 UTCnow

l2_imbalance.imbalance_ratio_10Hyperliquid io USDC · top 10 levels · hourly

Does IO:GPRO trade away from its index?

Basis

41.4 bps below its index on Hyperliquid io USDC now; 35.0 bps below to 17.5 bps above over 24 h.

+35.0 bps0−35.0 bps

23:25 UTCnow

basis.basis_bpsHyperliquid io USDC · hourly

Is leverage building in IO:GPRO?

Open interest

$56.4K open across 1 contract: +1.8% in contracts, −5.8% in dollars over 24 h.

$60.4K$55.1K

23:25 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on IO:GPRO?

Funding

Shorts pay −0.0085% a period on Hyperliquid io USDC; between −0.0329% and +0.0021% over 24 h.

+0.0329%0−0.0329%

23:25 UTCnow

funding.funding_rateHyperliquid io USDC · hourly

IO:GPRO's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Hyperliquid io USDCperpetual-IO:GPRO-USDC:USDC	0.63296	—	$15.1K	$56.4K	−0.0085%	79.0	Charts →

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

Every chart for IO:GPRO →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: IO:GPRO 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:GPRO-USDC:USDC",
    **PERIOD,
)

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

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

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

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

funding = get_derivative_metrics(
    api_key=API_KEY,
    metric="funding",
    exchange="hyperliquid-perps",
    symbol="perpetual-IO:GPRO-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:GPRO-USDC:USDC

0.63296

—

$15.1K

$56.4K

−0.0085%

79.0

Charts →

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