Euro perpsEUR

FX perp · Hyperliquid · #529 by volume

1.103-0.29% 24h

Hyperliquid xyz USDC · 24h 1.103 – 1.108

24h volume: $1.8M; #529 of 914
Open interest: $30.2M; +2.0% contracts · 24h
Spread: 0.91 bps; median · 24h
Size at best price: $23.3K; mean · 24h
Net taker flow: −$378.0K; every contract · 24h
Funding: +0.0006%; per period · HL

Aperiodic metrics · EUR · 24 h

Every metric on EUR, bar by bar →

Are takers buying or selling EUR?

Flow

Takers sold $373.2K more than they bought on Hyperliquid xyz USDC over 24 h; the heaviest hour, 15:25 UTC, saw $274.0K.

+$274.0K0−$274.0K

23:25 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross EUR's spread?

L1 liquidity

0.91 bps median on Hyperliquid xyz USDC, tighter than 74% 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
#529EUR0.91 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at EUR's best price?

L1 liquidity

$23.3K at the best bid and ask on Hyperliquid xyz USDC, on average, deeper than 86% 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
#529EUR$23.3K

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is EUR's book leaning?

L2 imbalance

Leaned to the bid in 24 of 24 hours on Hyperliquid xyz USDC; 76% bids over the day.

88% bid012% bid

23:25 UTCnow

l2_imbalance.imbalance_ratio_10Hyperliquid xyz USDC · top 10 levels · hourly

Does EUR trade away from its index?

Basis

0.91 bps above its index on Hyperliquid xyz USDC now; 3.54 bps to 5.89 bps above over 24 h.

+5.89 bps0−5.89 bps

23:25 UTCnow

basis.basis_bpsHyperliquid xyz USDC · hourly

Is leverage building in EUR?

Open interest

$30.2M open across 1 contract: +2.0% in contracts, +1.8% in dollars over 24 h.

$30.2M$29.6M

23:25 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on EUR?

Funding

Longs pay +0.0006% a period on Hyperliquid xyz USDC; between +0.0007% and +0.0020% over 24 h.

+0.0020%0−0.0020%

23:25 UTCnow

funding.funding_rateHyperliquid xyz USDC · hourly

EUR's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Hyperliquid xyz USDCperpetual-XYZ:EUR-USDC:USDC	1.103	-0.29%	$1.8M	$30.2M	+0.0006%	0.91	Charts →

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

Every chart for EUR →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: EUR 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-XYZ:EUR-USDC:USDC",
    **PERIOD,
)

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

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

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

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

funding = get_derivative_metrics(
    api_key=API_KEY,
    metric="funding",
    exchange="hyperliquid-perps",
    symbol="perpetual-XYZ:EUR-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 xyz USDCperpetual-XYZ:EUR-USDC:USDC

1.103

-0.29%

$1.8M

$30.2M

+0.0006%

0.91

Charts →

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