XYZ:ZM perps

Perp · Hyperliquid · #830 by volume

99.364+2.13% 24h

Hyperliquid xyz USDC · 24h 96.970 – 100.290

24h volume: $232.8K; #830 of 914
Open interest: $700.3K; +29.1% contracts · 24h
Spread: 16.5 bps; median · 24h
Size at best price: $6.4K; mean · 24h
Net taker flow: +$39.3K; every contract · 24h
Funding: +0.0020%; per period · HL

Aperiodic metrics · XYZ:ZM · 24 h

Every metric on XYZ:ZM, bar by bar →

Are takers buying or selling XYZ:ZM?

Flow

Takers bought $39.5K more than they sold on Hyperliquid xyz USDC over 24 h; the heaviest hour, 18:25 UTC, saw $80.2K.

+$80.2K0−$80.2K

23:25 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

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

L1 liquidity

16.5 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
#830XYZ:ZM16.5 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

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

L1 liquidity

$6.4K at the best bid and ask on Hyperliquid xyz USDC, on average, deeper than 67% 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
#830XYZ:ZM$6.4K

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is XYZ:ZM's book leaning?

L2 imbalance

Leaned to the bid in 12 of 24 hours on Hyperliquid xyz USDC; 49% bids over the day.

73% bid027% bid

23:25 UTCnow

l2_imbalance.imbalance_ratio_10Hyperliquid xyz USDC · top 10 levels · hourly

Does XYZ:ZM trade away from its index?

Basis

6.05 bps above its index on Hyperliquid xyz USDC now; 10.3 bps below to 37.0 bps above over 24 h.

+37.0 bps0−37.0 bps

23:25 UTCnow

basis.basis_bpsHyperliquid xyz USDC · hourly

Is leverage building in XYZ:ZM?

Open interest

$700.3K open across 1 contract: +29.1% in contracts, +32.2% in dollars over 24 h.

$704.7K$528.4K

23:25 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on XYZ:ZM?

Funding

Longs pay +0.0020% a period on Hyperliquid xyz USDC; between −0.0063% and +0.0138% over 24 h.

+0.0138%0−0.0138%

23:25 UTCnow

funding.funding_rateHyperliquid xyz USDC · hourly

XYZ:ZM's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Hyperliquid xyz USDCperpetual-XYZ:ZM-USDC:USDC	99.364	+2.13%	$232.8K	$700.3K	+0.0020%	16.5	Charts →

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

Every chart for XYZ:ZM →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

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

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

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

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

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

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

99.364

+2.13%

$232.8K

$700.3K

+0.0020%

16.5

Charts →

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