ARPA perps

Perp · Binance · #722 by volume

0.0088050-1.09% 24h

Binance USDT · 24h 0.0085810 – 0.0090590

24h volume: $819.8K; #722 of 914
Open interest: $1.2M; −1.7% contracts · 24h
Spread: 7.88 bps; median · 24h
Size at best price: $107; mean · 24h
Net taker flow: +$1.2K; every contract · 24h
Funding: +0.0003%; per period · BIN

Aperiodic metrics · ARPA · 24 h

Every metric on ARPA, bar by bar →

Are takers buying or selling ARPA?

Flow

Takers bought $1.2K more than they sold on Binance USDT over 24 h; the heaviest hour, 17:25 UTC, saw $11.5K.

+$11.5K0−$11.5K

23:25 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross ARPA's spread?

L1 liquidity

7.88 bps median on Binance USDT, wider than 94% of the 200 most traded perps.

#1BTC0.015 bps
#2ETH0.051 bps
#3SOXL1.56 bps
#5SOL1.25 bps
#10AKE3.18 bps
#25XYZ:XYZ1000.35 bps
#50MUU5.64 bps
#100MVLL8.76 bps
#200AIN2.70 bps
#722ARPA7.88 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at ARPA's best price?

L1 liquidity

$107 at the best bid and ask on Binance USDT, on average, thinner than 99% of the 200 most traded perps.

#1BTC$651.7K
#2ETH$269.8K
#3SOXL$86.9K
#5SOL$157.5K
#10AKE$553
#25XYZ:XYZ100$165.1K
#50MUU$22.4K
#100MVLL$13.7K
#200AIN$180
#722ARPA$107

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is ARPA's book leaning?

L2 imbalance

Leaned to the bid in 19 of 24 hours on Binance USDT; 56% bids over the day.

71% bid029% bid

23:25 UTCnow

l2_imbalance.imbalance_ratio_10Binance USDT · top 10 levels · hourly

Does ARPA trade away from its index?

Basis

5.21 bps below its index on Binance USDT now; 4.94 bps to 19.5 bps below over 24 h.

+19.5 bps0−19.5 bps

23:25 UTCnow

basis.basis_bpsBinance USDT · hourly

Is leverage building in ARPA?

Open interest

$1.2M open across 1 contract: −1.7% in contracts, −2.7% in dollars over 24 h.

$1.2M$1.2M

23:25 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on ARPA?

Funding

Longs pay +0.0003% a period on Binance USDT; between −0.0017% and +0.0100% over 24 h.

+0.0100%0−0.0100%

23:25 UTCnow

funding.funding_rateBinance USDT · hourly

ARPA's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Binance USDTperpetual-ARPA-USDT:USDT	0.0088050	-1.09%	$819.8K	$1.2M	+0.0003%	7.88	Charts →

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

Every chart for ARPA →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: ARPA on Binance
# 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).
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),
)

flow = get_metrics(
    api_key=API_KEY,
    metric="flow",
    exchange="binance-futures",
    symbol="perpetual-ARPA-USDT:USDT",
    **PERIOD,
)

l1_liquidity = get_metrics(
    api_key=API_KEY,
    metric="l1_liquidity",
    exchange="binance-futures",
    symbol="perpetual-ARPA-USDT:USDT",
    **PERIOD,
)

l2_imbalance = get_metrics(
    api_key=API_KEY,
    metric="l2_imbalance",
    exchange="binance-futures",
    symbol="perpetual-ARPA-USDT:USDT",
    **PERIOD,
)

basis = get_derivative_metrics(
    api_key=API_KEY,
    metric="basis",
    exchange="binance-futures",
    symbol="perpetual-ARPA-USDT:USDT",
    **PERIOD,
)

open_interest = get_derivative_metrics(
    api_key=API_KEY,
    metric="open_interest",
    exchange="binance-futures",
    symbol="perpetual-ARPA-USDT:USDT",
    **PERIOD,
)

funding = get_derivative_metrics(
    api_key=API_KEY,
    metric="funding",
    exchange="binance-futures",
    symbol="perpetual-ARPA-USDT:USDT",
    **PERIOD,
)

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

Contract

Price

24h

Volume 24h

Open interest

Funding

Spread

Binance USDTperpetual-ARPA-USDT:USDT

0.0088050

-1.09%

$819.8K

$1.2M

+0.0003%

7.88

Charts →

import os from datetime import date from aperiodic import get_derivative_metrics, get_metrics # aperiodic.io/markets: ARPA on Binance # 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). 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), ) flow = get_metrics( api_key=API_KEY, metric="flow", exchange="binance-futures", symbol="perpetual-ARPA-USDT:USDT", **PERIOD, ) l1_liquidity = get_metrics( api_key=API_KEY, metric="l1_liquidity", exchange="binance-futures", symbol="perpetual-ARPA-USDT:USDT", **PERIOD, ) l2_imbalance = get_metrics( api_key=API_KEY, metric="l2_imbalance", exchange="binance-futures", symbol="perpetual-ARPA-USDT:USDT", **PERIOD, ) basis = get_derivative_metrics( api_key=API_KEY, metric="basis", exchange="binance-futures", symbol="perpetual-ARPA-USDT:USDT", **PERIOD, ) open_interest = get_derivative_metrics( api_key=API_KEY, metric="open_interest", exchange="binance-futures", symbol="perpetual-ARPA-USDT:USDT", **PERIOD, ) funding = get_derivative_metrics( api_key=API_KEY, metric="funding", exchange="binance-futures", symbol="perpetual-ARPA-USDT:USDT", **PERIOD, )