PARA:NET perps

Perp · Hyperliquid · #922 by volume

306.410

Hyperliquid para USDC · 24h 303.790 – 327.460

24h volume: $8.3K; #922 of 924
Open interest: $28.9K; −14.9% contracts · 24h
Spread: 82.0 bps; median · 24h
Size at best price: $18.2K; mean · 24h
Net taker flow: −$7.6K; every contract · 24h
Funding: +0.0077%; per period · HL

Aperiodic metrics · PARA:NET · 24 h

Every metric on PARA:NET, bar by bar →

Are takers buying or selling PARA:NET?

Flow

Takers sold $7.6K more than they bought on Hyperliquid para USDC over 24 h; the heaviest hour, 14:40 UTC, saw $2.9K.

+$2.9K0−$2.9K

01:40 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

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

L1 liquidity

82.0 bps median on Hyperliquid para 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
#50MUU5.67 bps
#100TRX0.32 bps
#200ARX4.97 bps
#922PARA:NET82.0 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

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

L1 liquidity

$18.2K at the best bid and ask on Hyperliquid para USDC, on average, deeper than 83% of the 200 most traded perps.

#1BTC$649.7K
#2ETH$268.3K
#3SOXL$87.4K
#5SOL$158.4K
#10SPCX$18.0K
#25SP500$113.0K
#50MUU$20.7K
#100TRX$29.0K
#200ARX$523
#922PARA:NET$18.2K

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is PARA:NET's book leaning?

L2 imbalance

Leaned to the bid in 22 of 24 hours on Hyperliquid para USDC; 53% bids over the day.

59% bid041% bid

01:40 UTCnow

l2_imbalance.imbalance_ratio_10Hyperliquid para USDC · top 10 levels · hourly

Does PARA:NET trade away from its index?

Basis

0.000 bps above its index on Hyperliquid para USDC now; 50.1 bps below to 27.2 bps above over 24 h.

+50.1 bps0−50.1 bps

01:40 UTCnow

basis.basis_bpsHyperliquid para USDC · hourly

Is leverage building in PARA:NET?

Open interest

$28.9K open across 1 contract: −14.9% in contracts, −18.8% in dollars over 24 h.

$35.6K$28.8K

01:40 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on PARA:NET?

Funding

Longs pay +0.0077% a period on Hyperliquid para USDC; between −0.0546% and +0.0271% over 24 h.

+0.0546%0−0.0546%

01:40 UTCnow

funding.funding_rateHyperliquid para USDC · hourly

PARA:NET's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Hyperliquid para USDCperpetual-PARA:NET-USDC:USDC	306.410	—	$8.3K	$28.9K	+0.0077%	82.0	Charts →

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

Every chart for PARA:NET →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

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

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

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

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

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

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

306.410

—

$8.3K

$28.9K

+0.0077%

82.0

Charts →

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