PLAY perps

Perp · Binance · #94 by volume

0.0076300-21.18% 24h

Binance USDT · 24h 0.0070800 – 0.01121

24h volume: $64.5M; #94 of 910
Open interest: $3.2M; −14.6% contracts · 24h
Spread: 13.0 bps; median · 24h
Size at best price: $2.1K; mean · 24h
Net taker flow: −$2.4M; every contract · 24h
Funding: +0.0161%; per period · BIN

Aperiodic metrics · PLAY · 24 h

Every metric on PLAY, bar by bar →

Are takers buying or selling PLAY?

Flow

Takers sold $2.4M more than they bought on Binance USDT over 24 h; the heaviest hour, 00:20 UTC, saw $445.0K.

+$445.0K0−$445.0K

23:20 UTCnow

flow.volume_delta_notionalbusiest contract · hourly · 24 h

What does it cost to cross PLAY's spread?

L1 liquidity

13.0 bps median on Binance USDT, 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
#94PLAY13.0 bps
#100MVLL8.76 bps
#200AIN2.70 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at PLAY's best price?

L1 liquidity

$2.1K at the best bid and ask on Binance USDT, on average, thinner than 52% 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
#94PLAY$2.1K
#100MVLL$13.7K
#200AIN$181

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is PLAY's book leaning?

L2 imbalance

Leaned to the bid in 16 of 24 hours on Binance USDT; 51% bids over the day.

55% bid045% bid

23:20 UTCnow

l2_imbalance.imbalance_ratio_10Binance USDT · top 10 levels · hourly

Does PLAY trade away from its index?

Basis

27.4 bps above its index on Binance USDT now; 7.21 bps to 26.0 bps above over 24 h.

+26.0 bps0−26.0 bps

23:20 UTCnow

basis.basis_bpsBinance USDT · hourly

Is leverage building in PLAY?

Open interest

$3.2M open across 1 contract: −14.6% in contracts, −39.1% in dollars over 24 h.

$5.3M$3.2M

23:20 UTCnow

open_interest.open_interestbusiest contract · hourly

Who pays funding on PLAY?

Funding

Longs pay +0.0161% a period on Binance USDT; between +0.0106% and +0.0443% over 24 h.

+0.0443%0−0.0443%

23:20 UTCnow

funding.funding_rateBinance USDT · hourly

PLAY's contract · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Binance USDTperpetual-PLAY-USDT:USDT	0.0076300	-21.18%	$64.5M	$3.2M	+0.0161%	13.0	Charts →

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

Every chart for PLAY →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

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

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

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

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

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

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

0.0076300

-21.18%

$64.5M

$3.2M

+0.0161%

13.0

Charts →

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