EWT perps

Perp · Binance, OKX · #565 by volume

96.580-1.26% 24h

Binance USDT · 24h 95.590 – 100.800

24h volume: $1.5M; #565 of 914
Open interest: $879.3K; +1.3% contracts · 24h
Spread: 6.24 bps; median · 24h
Size at best price: $398; mean · 24h
Net taker flow: +$58.8K; every contract · 24h
Funding: −0.0025%; per period · BIN

Aperiodic metrics · EWT · 24 h

Every metric on EWT, bar by bar →

Are takers buying or selling EWT?

Flow

Takers bought $58.8K more than they sold on Binance and OKX over 24 h; the heaviest hour, 06:25 UTC, saw $43.4K.

+$71.1K0−$71.1K

23:25 UTCnow

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

What does it cost to cross EWT's spread?

L1 liquidity

6.24 bps median on Binance USDT, wider than 89% 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
#565EWT6.24 bps

l1_liquidity.spread_bpsbusiest contract · median · 24 h

How much size waits at EWT's best price?

L1 liquidity

$398 at the best bid and ask on Binance USDT, on average, thinner than 87% 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
#565EWT$398

l1_liquidity.total_dollar_depthbusiest contract · mean · 24 h

Which way is EWT's book leaning?

L2 imbalance

Leaned to the bid in 14 of 24 hours on Binance USDT; 54% bids over the day.

70% bid030% bid

23:25 UTCnow

l2_imbalance.imbalance_ratio_10Binance USDT · top 10 levels · hourly

Where does EWT trade?

OHLCV

Binance USDT took 91% of $1.5M traded in 24 h.

volume sharespread

Binance USDT91%6.24
OKX USDT8.8%14.4

ohlcv.volume_notionaleach contract · 24 h

Does EWT trade away from its index?

Basis

30.7 bps below its index on Binance USDT now; 27.7 bps below to 43.0 bps above over 24 h.

+43.0 bps0−43.0 bps

23:25 UTCnow

basis.basis_bpsBinance USDT · hourly

Is leverage building in EWT?

Open interest

$879.3K open across 2 contracts: +1.3% in contracts, +0.1% in dollars over 24 h.

$931.0K$859.2K

23:25 UTCnow

open_interest.open_interestbusiest contract on each venue · hourly

Who pays funding on EWT?

Funding

Longs pay on 0 of 2 contracts; Binance USDT charges −0.0025% a period.

Binance USDT−0.0025%
OKX USDT+0.0000%

← shorts paylongs pay →

funding.funding_rateeach contract · per funding period · now

EWT's 2 contracts · now

Named by Atlas →

Contract	Price	24h	Volume 24h	Open interest	Funding	Spread	Charts
Binance USDTperpetual-EWT-USDT:USDT	96.580	-1.26%	$1.4M	$763.9K	−0.0025%	6.24	Charts →
OKX USDTperpetual-EWT-USDT:USDT	96.590	-1.24%	$135.3K	$115.5K	+0.0000%	14.4	Charts →

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

Every chart for EWT →

Python

import os
from datetime import date

from aperiodic import get_derivative_metrics, get_metrics

# aperiodic.io/markets: EWT on Binance 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 = [
    ("binance-futures", "perpetual-EWT-USDT:USDT"),
    ("okx-perps", "perpetual-EWT-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

Binance USDTperpetual-EWT-USDT:USDT

96.580

-1.26%

$1.4M

$763.9K

−0.0025%

6.24

Charts →

OKX USDTperpetual-EWT-USDT:USDT

96.590

-1.24%

$135.3K

$115.5K

+0.0000%

14.4

Charts →

import os from datetime import date from aperiodic import get_derivative_metrics, get_metrics # aperiodic.io/markets: EWT on Binance 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 = [ ("binance-futures", "perpetual-EWT-USDT:USDT"), ("okx-perps", "perpetual-EWT-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, )