PARA:30Y perps

Perp · Hyperliquid · #902 by volume

5.464

Hyperliquid para USDC · 24h 5.457 – 5.495

24h volume: $27.6K; #902 of 930
Open interest: $153.0K; −2.6% contracts · 24h
Spread: 9.69 bps; median · 24h
Size at best price: $4.7K; mean · 24h
Net taker flow: +$21.2K; every contract · 24h
Funding: +0.0001%; per period · HL

Aperiodic metrics · PARA:30Y · 24 h

Every metric on PARA:30Y, bar by bar →

Are takers buying or selling PARA:30Y?

Flow

Takers bought $21.2K more than they sold on Hyperliquid para USDC over 24 h; the heaviest hour, 15:05 UTC, saw $13.4K.

+$13.4K0−$13.4K

10:05 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross PARA:30Y's spread?

L1 liquidity

9.69 bps median on Hyperliquid para USDC, wider than 97% of the 200 most traded perps.

#1BTC0.015 bps
#2ETH0.052 bps
#3SOXL1.78 bps
#5ZEC0.11 bps
#10SPCX0.73 bps
#25BARD7.18 bps
#50LIT0.31 bps
#100PONS6.98 bps
#200CT2.74 bps
#902PARA:30Y9.69 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at PARA:30Y's best price?

L1 liquidity

$4.7K at the best bid and ask on Hyperliquid para USDC, on average, deeper than 62% of the 200 most traded perps.

#1BTC$599.8K
#2ETH$251.6K
#3SOXL$83.6K
#5ZEC$8.1K
#10SPCX$24.0K
#25BARD$4.1K
#50LIT$553
#100PONS$3.6K
#200CT$204
#902PARA:30Y$4.7K

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is PARA:30Y's book leaning?

L2 imbalance

Leaned to the bid in 18 of 24 hours on Hyperliquid para USDC; 53% bids over the day.

60% bid040% bid

10:05 UTCnow

l2_imbalance.imbalance_ratio_10Hyperliquid para USDC · top 10 levels · hourly

Does PARA:30Y trade away from its index?

Basis

5.49 bps below its index on Hyperliquid para USDC now; 5.92 bps below to 3.07 bps above over 24 h.

+5.92 bps0−5.92 bps

10:05 UTCnow

basis.basis_bpsHyperliquid para USDC · hourly

Is leverage building in PARA:30Y?

Open interest

$153.0K open across 1 contract: −2.6% in contracts, −2.5% in dollars over 24 h.

$162.8K$152.3K

10:05 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on PARA:30Y?

Funding

Longs pay +0.0001% a period on Hyperliquid para USDC; between +0.0000% and +0.0001% over 24 h.

+0.0001%0−0.0001%

10:05 UTCnow

funding.funding_rateHyperliquid para USDC · hourly

PARA:30Y's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Hyperliquid para USDCperpetual-PARA:30Y-USDC:USDC	5.464	—	$27.6K	$153.0K	+0.0001%	9.69	Charts →

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

Every chart for PARA:30Y →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: PARA:30Y 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:30Y-USDC:USDC",
    **PERIOD,
)

l1_liquidity = get_metrics(
    api_key=API_KEY,
    metric="l1_liquidity",
    exchange="hyperliquid-perps",
    symbol="perpetual-PARA:30Y-USDC:USDC",
    **PERIOD,
)

l2_imbalance = get_metrics(
    api_key=API_KEY,
    metric="l2_imbalance",
    exchange="hyperliquid-perps",
    symbol="perpetual-PARA:30Y-USDC:USDC",
    **PERIOD,
)

basis = get_derivative_metrics(
    api_key=API_KEY,
    metric="basis",
    exchange="hyperliquid-perps",
    symbol="perpetual-PARA:30Y-USDC:USDC",
    **PERIOD,
)

open_interest = get_derivative_metrics(
    api_key=API_KEY,
    metric="open_interest",
    exchange="hyperliquid-perps",
    symbol="perpetual-PARA:30Y-USDC:USDC",
    **PERIOD,
)

funding = get_derivative_metrics(
    api_key=API_KEY,
    metric="funding",
    exchange="hyperliquid-perps",
    symbol="perpetual-PARA:30Y-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:30Y-USDC:USDC

5.464

—

$27.6K

$153.0K

+0.0001%

9.69

Charts →

import os from datetime import date from aperiodic import get_derivative_metrics, get_metrics # aperiodic.io/markets: PARA:30Y 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:30Y-USDC:USDC", **PERIOD, ) l1_liquidity = get_metrics( api_key=API_KEY, metric="l1_liquidity", exchange="hyperliquid-perps", symbol="perpetual-PARA:30Y-USDC:USDC", **PERIOD, ) l2_imbalance = get_metrics( api_key=API_KEY, metric="l2_imbalance", exchange="hyperliquid-perps", symbol="perpetual-PARA:30Y-USDC:USDC", **PERIOD, ) basis = get_derivative_metrics( api_key=API_KEY, metric="basis", exchange="hyperliquid-perps", symbol="perpetual-PARA:30Y-USDC:USDC", **PERIOD, ) open_interest = get_derivative_metrics( api_key=API_KEY, metric="open_interest", exchange="hyperliquid-perps", symbol="perpetual-PARA:30Y-USDC:USDC", **PERIOD, ) funding = get_derivative_metrics( api_key=API_KEY, metric="funding", exchange="hyperliquid-perps", symbol="perpetual-PARA:30Y-USDC:USDC", **PERIOD, )