XYZ:DKNG perps

Perp · Hyperliquid · #845 by volume

18.828-1.81% 24h

Hyperliquid xyz USDC · 24h 18.616 – 19.479

24h volume: $168.3K; #845 of 920
Open interest: $276.6K; −17.3% contracts · 24h
Spread: 15.2 bps; median · 24h
Size at best price: $8.2K; mean · 24h
Net taker flow: +$10.4K; every contract · 24h
Funding: +0.0006%; per period · HL

Aperiodic metrics · XYZ:DKNG · 24 h

Every metric on XYZ:DKNG, bar by bar →

Are takers buying or selling XYZ:DKNG?

Flow

Takers bought $10.3K more than they sold on Hyperliquid xyz USDC over 24 h; the heaviest hour, 14:35 UTC, saw $16.5K.

+$19.5K0−$19.5K

00:35 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

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

L1 liquidity

15.2 bps median on Hyperliquid xyz USDC, the widest of the 200 most traded perps.

#1BTC0.015 bps
#2ETH0.052 bps
#3SOXL1.57 bps
#5SOL1.25 bps
#10SPCX0.71 bps
#25SP5000.13 bps
#50MUU5.65 bps
#100INTW1.73 bps
#200COPPER1.60 bps
#845XYZ:DKNG15.2 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

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

L1 liquidity

$8.2K at the best bid and ask on Hyperliquid xyz USDC, on average, deeper than 71% of the 200 most traded perps.

#1BTC$658.0K
#2ETH$269.2K
#3SOXL$87.4K
#5SOL$156.7K
#10SPCX$17.4K
#25SP500$111.3K
#50MUU$21.3K
#100INTW$1.4K
#200COPPER$10.8K
#845XYZ:DKNG$8.2K

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is XYZ:DKNG's book leaning?

L2 imbalance

Leaned to the bid in 15 of 24 hours on Hyperliquid xyz USDC; 52% bids over the day.

73% bid027% bid

00:35 UTCnow

l2_imbalance.imbalance_ratio_10Hyperliquid xyz USDC · top 10 levels · hourly

Does XYZ:DKNG trade away from its index?

Basis

0.000 bps above its index on Hyperliquid xyz USDC now; 16.1 bps below to 4.31 bps above over 24 h.

+16.1 bps0−16.1 bps

00:35 UTCnow

basis.basis_bpsHyperliquid xyz USDC · hourly

Is leverage building in XYZ:DKNG?

Open interest

$276.6K open across 1 contract: −17.3% in contracts, −17.4% in dollars over 24 h.

$334.1K$275.8K

00:35 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on XYZ:DKNG?

Funding

Longs pay +0.0006% a period on Hyperliquid xyz USDC; between −0.0055% and +0.0046% over 24 h.

+0.0055%0−0.0055%

00:35 UTCnow

funding.funding_rateHyperliquid xyz USDC · hourly

XYZ:DKNG's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Hyperliquid xyz USDCperpetual-XYZ:DKNG-USDC:USDC	18.828	-1.81%	$168.3K	$276.6K	+0.0006%	15.2	Charts →

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

Every chart for XYZ:DKNG →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: XYZ:DKNG on Hyperliquid
# 5m bars, 2025-11-13 to 2026-11-13. 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, 13),
    end_date=date(2026, 11, 13),
)

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

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

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

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

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

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

18.828

-1.81%

$168.3K

$276.6K

+0.0006%

15.2

Charts →

import os from datetime import date from aperiodic import get_derivative_metrics, get_metrics # aperiodic.io/markets: XYZ:DKNG on Hyperliquid # 5m bars, 2025-11-13 to 2026-11-13. 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, 13), end_date=date(2026, 11, 13), ) flow = get_metrics( api_key=API_KEY, metric="flow", exchange="hyperliquid-perps", symbol="perpetual-XYZ:DKNG-USDC:USDC", **PERIOD, ) l1_liquidity = get_metrics( api_key=API_KEY, metric="l1_liquidity", exchange="hyperliquid-perps", symbol="perpetual-XYZ:DKNG-USDC:USDC", **PERIOD, ) l2_imbalance = get_metrics( api_key=API_KEY, metric="l2_imbalance", exchange="hyperliquid-perps", symbol="perpetual-XYZ:DKNG-USDC:USDC", **PERIOD, ) basis = get_derivative_metrics( api_key=API_KEY, metric="basis", exchange="hyperliquid-perps", symbol="perpetual-XYZ:DKNG-USDC:USDC", **PERIOD, ) open_interest = get_derivative_metrics( api_key=API_KEY, metric="open_interest", exchange="hyperliquid-perps", symbol="perpetual-XYZ:DKNG-USDC:USDC", **PERIOD, ) funding = get_derivative_metrics( api_key=API_KEY, metric="funding", exchange="hyperliquid-perps", symbol="perpetual-XYZ:DKNG-USDC:USDC", **PERIOD, )