PARA:BTCD perps

Perp · Hyperliquid · #896 by volume

59.979

Hyperliquid para USDC · 24h 59.978 – 60.051

24h volume: $2.1K; #896 of 896
Open interest: $488.3K; −0.1% contracts · 24h
Spread: 0.17 bps; median · 24h
Size at best price: $27.4K; mean · 24h
Net taker flow: −$325; every contract · 24h
Funding: −0.0017%; per period · HL

Aperiodic metrics · PARA:BTCD · 24 h

Every metric on PARA:BTCD, bar by bar →

Are takers buying or selling PARA:BTCD?

Flow

Takers sold $325 more than they bought on Hyperliquid para USDC over 24 h; the heaviest hour, 15:25 UTC, saw $775.

+$7750−$775

11:25 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

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

L1 liquidity

0.17 bps median on Hyperliquid para USDC, tighter than 92% of the 200 most traded perps.

#1BTC0.015 bps
#2ETH0.052 bps
#3SOXL1.78 bps
#5ZEC0.11 bps
#10SPCX0.73 bps
#25QQQ0.15 bps
#50AVAX1.22 bps
#100PONS7.00 bps
#200JTO3.28 bps
#896PARA:BTCD0.17 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

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

L1 liquidity

$27.4K at the best bid and ask on Hyperliquid para USDC, on average, deeper than 89% of the 200 most traded perps.

#1BTC$588.9K
#2ETH$251.5K
#3SOXL$83.7K
#5ZEC$8.3K
#10SPCX$26.9K
#25QQQ$57.6K
#50AVAX$5.1K
#100PONS$3.8K
#200JTO$1.3K
#896PARA:BTCD$27.4K

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is PARA:BTCD's book leaning?

L2 imbalance

Leaned to the bid in 23 of 23 hours on Hyperliquid para USDC; 52% bids over the day.

56% bid044% bid

11:25 UTCnow

l2_imbalance.imbalance_ratio_10Hyperliquid para USDC · top 10 levels · hourly

Does PARA:BTCD trade away from its index?

Basis

4.35 bps below its index on Hyperliquid para USDC now; 3.70 bps to 8.25 bps below over 24 h.

+8.25 bps0−8.25 bps

11:25 UTCnow

basis.basis_bpsHyperliquid para USDC · hourly

Is leverage building in PARA:BTCD?

Open interest

$488.3K open across 1 contract: −0.1% in contracts, −0.5% in dollars over 24 h.

$490.2K$486.8K

11:25 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on PARA:BTCD?

Funding

Shorts pay −0.0017% a period on Hyperliquid para USDC; between −0.0047% and −0.0013% over 24 h.

+0.0047%0−0.0047%

11:25 UTCnow

funding.funding_rateHyperliquid para USDC · hourly

PARA:BTCD's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Hyperliquid para USDCperpetual-PARA:BTCD-USDC:USDC	59.979	—	$2.1K	$488.3K	−0.0017%	0.17	Charts →

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

Every chart for PARA:BTCD →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

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

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

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

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

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

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

59.979

—

$2.1K

$488.3K

−0.0017%

0.17

Charts →

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