JOE perps

Perp · Binance · #730 by volume

0.02431-7.18% 24h

Binance USDT · 24h 0.02417 – 0.02635

24h volume: $793.5K; #730 of 914
Open interest: $947.1K; +7.6% contracts · 24h
Spread: 3.95 bps; median · 24h
Size at best price: $220; mean · 24h
Net taker flow: +$2.2K; every contract · 24h
Funding: +0.0100%; per period · BIN

Aperiodic metrics · JOE · 24 h

Every metric on JOE, bar by bar →

Are takers buying or selling JOE?

Flow

Takers bought $2.2K more than they sold on Binance USDT over 24 h; the heaviest hour, 13:25 UTC, saw $17.6K.

+$17.6K0−$17.6K

23:25 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross JOE's spread?

L1 liquidity

3.95 bps median on Binance USDT, wider than 80% 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
#730JOE3.95 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at JOE's best price?

L1 liquidity

$220 at the best bid and ask on Binance USDT, on average, thinner than 95% 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
#730JOE$220

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is JOE's book leaning?

L2 imbalance

Leaned to the ask in 22 of 24 hours on Binance USDT; 36% bids over the day.

77% bid023% bid

23:25 UTCnow

l2_imbalance.imbalance_ratio_10Binance USDT · top 10 levels · hourly

Does JOE trade away from its index?

Basis

4.75 bps below its index on Binance USDT now; 25.7 bps below to 9.53 bps above over 24 h.

+25.7 bps0−25.7 bps

23:25 UTCnow

basis.basis_bpsBinance USDT · hourly

Is leverage building in JOE?

Open interest

$947.1K open across 1 contract: +7.6% in contracts, −0.2% in dollars over 24 h.

$963.0K$920.6K

23:25 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on JOE?

Funding

Longs pay +0.0100% a period on Binance USDT; between −0.0137% and +0.0100% over 24 h.

+0.0137%0−0.0137%

23:25 UTCnow

funding.funding_rateBinance USDT · hourly

JOE's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Binance USDTperpetual-JOE-USDT:USDT	0.02431	-7.18%	$793.5K	$947.1K	+0.0100%	3.95	Charts →

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

Every chart for JOE →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: JOE 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-JOE-USDT:USDT",
    **PERIOD,
)

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

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

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

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

funding = get_derivative_metrics(
    api_key=API_KEY,
    metric="funding",
    exchange="binance-futures",
    symbol="perpetual-JOE-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-JOE-USDT:USDT

0.02431

-7.18%

$793.5K

$947.1K

+0.0100%

3.95

Charts →

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