CASHCAT perps

Perp · OKX, Hyperliquid · #290 by volume

0.04732-6.72% 24h

OKX USDT · 24h 0.04712 – 0.05220

24h volume: $6.6M; #290 of 910
Open interest: $8.9M; +1.0% contracts · 24h
Spread: 5.87 bps; median · 24h
Size at best price: $222; mean · 24h
Net taker flow: −$1.3M; every contract · 24h
Funding: +0.0050%; per period · OKX

Aperiodic metrics · CASHCAT · 24 h

Every metric on CASHCAT, bar by bar →

Are takers buying or selling CASHCAT?

Flow

Takers sold $1.3M more than they bought on OKX and Hyperliquid over 24 h; the heaviest hour, 06:20 UTC, saw $367.6K.

+$367.6K0−$367.6K

23:20 UTCnow

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

What does it cost to cross CASHCAT's spread?

L1 liquidity

5.87 bps median on OKX USDT, wider than 88% 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
#290CASHCAT5.87 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at CASHCAT's best price?

L1 liquidity

$222 at the best bid and ask on OKX USDT, on average, thinner than 95% 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
#290CASHCAT$222

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is CASHCAT's book leaning?

L2 imbalance

Leaned to the bid in 12 of 24 hours on OKX USDT; 51% bids over the day.

62% bid038% bid

23:20 UTCnow

l2_imbalance.imbalance_ratio_10OKX USDT · top 10 levels · hourly

Where does CASHCAT trade?

OHLCV

OKX USDT took 58% of $6.6M traded in 24 h.

volume sharespread

OKX USDT58%5.87
Hyperliquid USDC42%9.32

ohlcv.volume_notionaleach contract · 24 h

Does CASHCAT trade away from its index?

Basis

2.11 bps below its index on OKX USDT now; 25.7 bps below to 2.61 bps above over 24 h.

+25.7 bps0−25.7 bps

23:20 UTCnow

basis.basis_bpsOKX USDT · hourly

Is leverage building in CASHCAT?

Open interest

$8.9M open across 2 contracts: +1.0% in contracts, −5.7% in dollars over 24 h.

$9.7M$8.9M

23:20 UTCnow

open_interest.open_interestbusiest contract on each venue · hourly

Who pays funding on CASHCAT?

Funding

Longs pay on 2 of 2 contracts; OKX USDT charges +0.0050% a period (Hyperliquid’s are hourly).

OKX USDT+0.0050%
Hyperliquid USDC+0.0013%

← shorts paylongs pay →

funding.funding_rateeach contract · per funding period · now

CASHCAT's 2 contracts · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
OKX USDTperpetual-CASHCAT-USDT:USDT	0.04732	-6.72%	$3.8M	$706.6K	+0.0050%	5.87	Charts →
Hyperliquid USDCperpetual-CASHCAT-USDC:USDC	0.04731	-6.77%	$2.8M	$8.2M	+0.0013%	9.32	Charts →

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

Every chart for CASHCAT →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: CASHCAT on OKX and Hyperliquid
# 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 = [
    ("okx-perps", "perpetual-CASHCAT-USDT:USDT"),
    ("hyperliquid-perps", "perpetual-CASHCAT-USDC:USDC"),
]

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

OKX USDTperpetual-CASHCAT-USDT:USDT

0.04732

-6.72%

$3.8M

$706.6K

+0.0050%

5.87

Charts →

Hyperliquid USDCperpetual-CASHCAT-USDC:USDC

0.04731

-6.77%

$2.8M

$8.2M

+0.0013%

9.32

Charts →

import os from datetime import date from aperiodic import get_derivative_metrics, get_metrics # aperiodic.io/markets: CASHCAT on OKX and Hyperliquid # 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 = [ ("okx-perps", "perpetual-CASHCAT-USDT:USDT"), ("hyperliquid-perps", "perpetual-CASHCAT-USDC:USDC"), ] 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, )