XYZ:URNM perps

Perp · Hyperliquid · #821 by volume

39.483-2.15% 24h

Hyperliquid xyz USDC · 24h 39.002 – 40.573

24h volume: $279.0K; #821 of 914
Open interest: $1.2M; −0.1% contracts · 24h
Spread: 13.4 bps; median · 24h
Size at best price: $4.7K; mean · 24h
Net taker flow: +$37.4K; every contract · 24h
Funding: −0.0002%; per period · HL

Aperiodic metrics · XYZ:URNM · 24 h

Every metric on XYZ:URNM, bar by bar →

Are takers buying or selling XYZ:URNM?

Flow

Takers bought $37.4K more than they sold on Hyperliquid xyz USDC over 24 h; the heaviest hour, 23:25 UTC, saw $77.0K.

+$77.0K0−$77.0K

23:25 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross XYZ:URNM's spread?

L1 liquidity

13.4 bps median on Hyperliquid xyz 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
#821XYZ:URNM13.4 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at XYZ:URNM's best price?

L1 liquidity

$4.7K at the best bid and ask on Hyperliquid xyz USDC, on average, deeper than 63% 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
#821XYZ:URNM$4.7K

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is XYZ:URNM's book leaning?

L2 imbalance

Leaned to the bid in 19 of 24 hours on Hyperliquid xyz USDC; 54% bids over the day.

65% bid035% bid

23:25 UTCnow

l2_imbalance.imbalance_ratio_10Hyperliquid xyz USDC · top 10 levels · hourly

Does XYZ:URNM trade away from its index?

Basis

1.27 bps below its index on Hyperliquid xyz USDC now; 39.4 bps below to 15.1 bps above over 24 h.

+39.4 bps0−39.4 bps

23:25 UTCnow

basis.basis_bpsHyperliquid xyz USDC · hourly

Is leverage building in XYZ:URNM?

Open interest

$1.2M open across 1 contract: −0.1% in contracts, −6.1% in dollars over 24 h.

$1.3M$1.2M

23:25 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on XYZ:URNM?

Funding

Shorts pay −0.0002% a period on Hyperliquid xyz USDC; between −0.0170% and +0.0110% over 24 h.

+0.0170%0−0.0170%

23:25 UTCnow

funding.funding_rateHyperliquid xyz USDC · hourly

XYZ:URNM's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Hyperliquid xyz USDCperpetual-XYZ:URNM-USDC:USDC	39.483	-2.15%	$279.0K	$1.2M	−0.0002%	13.4	Charts →

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

Every chart for XYZ:URNM →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

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

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

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

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

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

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

39.483

-2.15%

$279.0K

$1.2M

−0.0002%

13.4

Charts →

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