PARA:GDX perps

Perp · Hyperliquid · #894 by volume

81.159-2.22% 24h

Hyperliquid para USDC · 24h 80.825 – 83.497

24h volume: $24.5K; #894 of 906
Open interest: $64.4K; +30.6% contracts · 24h
Spread: 18.9 bps; median · 24h
Size at best price: $8.8K; mean · 24h
Net taker flow: +$7.7K; every contract · 24h
Funding: −0.0027%; per period · HL

Aperiodic metrics · PARA:GDX · 24 h

Every metric on PARA:GDX, bar by bar →

Are takers buying or selling PARA:GDX?

Flow

Takers bought $7.7K more than they sold on Hyperliquid para USDC over 24 h; the heaviest hour, 14:05 UTC, saw $10.8K.

+$10.8K0−$10.8K

04:05 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross PARA:GDX's spread?

L1 liquidity

18.9 bps median on Hyperliquid para USDC, the widest of the 200 most traded perps.

#1BTC0.015 bps
#2ETH0.052 bps
#3SOXL1.73 bps
#5ZEC0.11 bps
#10HYPE0.14 bps
#25SP5000.13 bps
#50MUU5.93 bps
#100INTW1.73 bps
#200ORDI3.17 bps
#894PARA:GDX18.9 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at PARA:GDX's best price?

L1 liquidity

$8.8K at the best bid and ask on Hyperliquid para USDC, on average, deeper than 72% of the 200 most traded perps.

#1BTC$652.2K
#2ETH$269.3K
#3SOXL$84.1K
#5ZEC$7.9K
#10HYPE$9.4K
#25SP500$243.4K
#50MUU$20.0K
#100INTW$1.4K
#200ORDI$1.8K
#894PARA:GDX$8.8K

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is PARA:GDX's book leaning?

L2 imbalance

Leaned to the bid in 13 of 24 hours on Hyperliquid para USDC; 47% bids over the day.

69% bid031% bid

04:05 UTCnow

l2_imbalance.imbalance_ratio_10Hyperliquid para USDC · top 10 levels · hourly

Does PARA:GDX trade away from its index?

Basis

6.60 bps below its index on Hyperliquid para USDC now; 9.65 bps below to 32.7 bps above over 24 h.

+32.7 bps0−32.7 bps

04:05 UTCnow

basis.basis_bpsHyperliquid para USDC · hourly

Is leverage building in PARA:GDX?

Open interest

$64.4K open across 1 contract: +30.6% in contracts, +36.4% in dollars over 24 h.

$71.2K$47.9K

04:05 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on PARA:GDX?

Funding

Shorts pay −0.0027% a period on Hyperliquid para USDC; between −0.0057% and +0.0742% over 24 h.

+0.0742%0−0.0742%

04:05 UTCnow

funding.funding_rateHyperliquid para USDC · hourly

PARA:GDX's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Hyperliquid para USDCperpetual-PARA:GDX-USDC:USDC	81.159	-2.22%	$24.5K	$64.4K	−0.0027%	18.9	Charts →

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

Every chart for PARA:GDX →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: PARA:GDX 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-PARA:GDX-USDC:USDC",
    **PERIOD,
)

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

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

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

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

funding = get_derivative_metrics(
    api_key=API_KEY,
    metric="funding",
    exchange="hyperliquid-perps",
    symbol="perpetual-PARA:GDX-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 para USDCperpetual-PARA:GDX-USDC:USDC

81.159

-2.22%

$24.5K

$64.4K

−0.0027%

18.9

Charts →

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