PURR perps

Perp · Hyperliquid, OKX · #606 by volume

0.09216+0.87% 24h

Hyperliquid USDC · 24h 0.08713 – 0.09604

24h volume: $1.3M; #606 of 910
Open interest: $11.0M; +0.4% contracts · 24h
Spread: 20.2 bps; median · 24h
Size at best price: $180; mean · 24h
Net taker flow: −$35.5K; every contract · 24h
Funding: +0.0013%; per period · HL

Aperiodic metrics · PURR · 24 h

Every metric on PURR, bar by bar →

Are takers buying or selling PURR?

Flow

Takers sold $35.3K more than they bought on Hyperliquid and OKX over 24 h; the heaviest hour, 14:20 UTC, saw $60.5K.

+$60.5K0−$60.5K

23:20 UTCnow

flow.volume_delta_notionalbusiest contract on each venue · hourly · 24 h

What does it cost to cross PURR's spread?

L1 liquidity

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

#1BTC0.014 bps
#2ETH0.051 bps
#3SOXL1.56 bps
#5SOL1.25 bps
#10AKE3.20 bps
#25SP5000.13 bps
#50MUU5.64 bps
#100MVLL8.76 bps
#200AIN2.70 bps
#606PURR20.2 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at PURR's best price?

L1 liquidity

$180 at the best bid and ask on Hyperliquid USDC, on average, thinner than 97% of the 200 most traded perps.

#1BTC$651.3K
#2ETH$269.7K
#3SOXL$87.0K
#5SOL$157.7K
#10AKE$562
#25SP500$105.4K
#50MUU$22.5K
#100MVLL$13.7K
#200AIN$181
#606PURR$180

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is PURR's book leaning?

L2 imbalance

Leaned to the ask in 21 of 24 hours on Hyperliquid USDC; 43% bids over the day.

72% bid028% bid

23:20 UTCnow

l2_imbalance.imbalance_ratio_10Hyperliquid USDC · top 10 levels · hourly

Where does PURR trade?

OHLCV

Hyperliquid USDC took 51% of $1.3M traded in 24 h; the tightest spread is OKX USDT's, 14.4 bps.

volume sharespread

Hyperliquid USDC51%20.2
OKX USDT49%14.4

ohlcv.volume_notionaleach contract · 24 h

Does PURR trade away from its index?

Basis

44.5 bps above its index on Hyperliquid USDC now; 17.1 bps to 45.5 bps above over 24 h.

+45.5 bps0−45.5 bps

23:20 UTCnow

basis.basis_bpsHyperliquid USDC · hourly

Is leverage building in PURR?

Open interest

$11.0M open across 2 contracts: +0.4% in contracts, +1.1% in dollars over 24 h.

$11.3M$10.5M

23:20 UTCnow

open_interest.open_interestbusiest contract on each venue · hourly

Who pays funding on PURR?

Funding

Longs pay on 1 of 2 contracts; Hyperliquid USDC charges +0.0013% a period (Hyperliquid’s are hourly).

Hyperliquid USDC+0.0013%
OKX USDT+0.0000%

← shorts paylongs pay →

funding.funding_rateeach contract · per funding period · now

PURR's 2 contracts · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Hyperliquid USDCperpetual-PURR-USDC:USDC	0.09216	+0.87%	$681.0K	$10.4M	+0.0013%	20.2	Charts →
OKX USDTperpetual-PURR-USDT:USDT	8.584	-3.08%	$655.4K	$559.4K	+0.0000%	14.4	Charts →

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

Every chart for PURR →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: PURR on Hyperliquid and OKX
# 5m bars, 2025-11-12 to 2026-11-12. 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).
# OKX: okx-perps l1_liquidity and l2_liquidity count contracts, not coins (BTC-USDT-SWAP is 0.01 BTC each). Multiply by the contract size to match the page.
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, 12),
    end_date=date(2026, 11, 12),
)
CONTRACTS = [
    ("hyperliquid-perps", "perpetual-PURR-USDC:USDC"),
    ("okx-perps", "perpetual-PURR-USDT:USDT"),
]

frames = {}
for exchange, symbol in CONTRACTS:
    frames["flow", exchange, symbol] = get_metrics(
        api_key=API_KEY,
        metric="flow",
        exchange=exchange,
        symbol=symbol,
        **PERIOD,
    )
    frames["l1_liquidity", exchange, symbol] = get_metrics(
        api_key=API_KEY,
        metric="l1_liquidity",
        exchange=exchange,
        symbol=symbol,
        **PERIOD,
    )
    frames["l2_imbalance", exchange, symbol] = get_metrics(
        api_key=API_KEY,
        metric="l2_imbalance",
        exchange=exchange,
        symbol=symbol,
        **PERIOD,
    )
    frames["basis", exchange, symbol] = get_derivative_metrics(
        api_key=API_KEY,
        metric="basis",
        exchange=exchange,
        symbol=symbol,
        **PERIOD,
    )
    frames["open_interest", exchange, symbol] = get_derivative_metrics(
        api_key=API_KEY,
        metric="open_interest",
        exchange=exchange,
        symbol=symbol,
        **PERIOD,
    )
    frames["funding", exchange, symbol] = get_derivative_metrics(
        api_key=API_KEY,
        metric="funding",
        exchange=exchange,
        symbol=symbol,
        **PERIOD,
    )

Every number is from Aperiodic's own 5-minute bars, 15 minutes behind.

Contract

Price

24h

Volume 24h

Open interest

Funding

Spread

Hyperliquid USDCperpetual-PURR-USDC:USDC

0.09216

+0.87%

$681.0K

$10.4M

+0.0013%

20.2

Charts →

OKX USDTperpetual-PURR-USDT:USDT

8.584

-3.08%

$655.4K

$559.4K

+0.0000%

14.4

Charts →

import os from datetime import date from aperiodic import get_derivative_metrics, get_metrics # aperiodic.io/markets: PURR on Hyperliquid and OKX # 5m bars, 2025-11-12 to 2026-11-12. 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). # OKX: okx-perps l1_liquidity and l2_liquidity count contracts, not coins (BTC-USDT-SWAP is 0.01 BTC each). Multiply by the contract size to match the page. 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, 12), end_date=date(2026, 11, 12), ) CONTRACTS = [ ("hyperliquid-perps", "perpetual-PURR-USDC:USDC"), ("okx-perps", "perpetual-PURR-USDT:USDT"), ] frames = {} for exchange, symbol in CONTRACTS: frames["flow", exchange, symbol] = get_metrics( api_key=API_KEY, metric="flow", exchange=exchange, symbol=symbol, **PERIOD, ) frames["l1_liquidity", exchange, symbol] = get_metrics( api_key=API_KEY, metric="l1_liquidity", exchange=exchange, symbol=symbol, **PERIOD, ) frames["l2_imbalance", exchange, symbol] = get_metrics( api_key=API_KEY, metric="l2_imbalance", exchange=exchange, symbol=symbol, **PERIOD, ) frames["basis", exchange, symbol] = get_derivative_metrics( api_key=API_KEY, metric="basis", exchange=exchange, symbol=symbol, **PERIOD, ) frames["open_interest", exchange, symbol] = get_derivative_metrics( api_key=API_KEY, metric="open_interest", exchange=exchange, symbol=symbol, **PERIOD, ) frames["funding", exchange, symbol] = get_derivative_metrics( api_key=API_KEY, metric="funding", exchange=exchange, symbol=symbol, **PERIOD, )