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PerpFinder

Crypto exchange volume quality

Venue-reported 24h perpetual volume, side by side with what the venue's order books observably support. This dataset does not claim any venue misreports volume; it measures how strongly reported activity is supported by observable signals.

How the signals work

Signals: median spread, slippage at standardized sizes and the largest standardized order that fills on the flagship BTC and ETH markets. A high reported-to-support ratio means reported activity is large relative to visible liquidity — which can reflect genuine high turnover and market-maker flow just as well as anything else. Full method: methodology.

21

Venues assessed

21

Complete data

2026-07-16

Collecting since

09-09 12:40 UTC

Latest sweep

v2

Methodology · established

Perpetual markets — flagship BTC/ETH (spot is a separate, future dataset)

Sources: venue tickers (reported) + PerpFinder order-book engine (observable) · 11 sweeps in the last 3 days
ExchangeReported 24h (venue)Reported BTC+ETHMedian spreadSlippage @$100kReported/supportData confidence
Binance$57.0B$18.9B0.03 bps0.00 bps18,864×p97 among venues this sweep100/100
OKX$22.4B0.03 bps0.00 bps80/100
Toobit$20.0B$11.9B0.03 bps0.00 bps11,885×p91 among venues this sweep100/100
Bybit$13.0B$6.3B0.03 bps0.38 bps6,302×p72 among venues this sweep100/100
Gate.io$12.6B$9.4B0.03 bps0.01 bps9,367×p84 among venues this sweep100/100
MEXC$12.2B$6.1B0.03 bps0.00 bps6,087×p66 among venues this sweep100/100
Coinbase$8.6B$8.1B0.03 bps0.00 bps8,108×p78 among venues this sweep100/100
Bitget$7.4B$4.0B0.03 bps0.00 bps3,971×p53 among venues this sweep100/100
XT.COM$7.3B0.04 bps0.00 bps80/100
WEEXunverified$7.2B$3.3B0.03 bps0.00 bps3,295×p41 among venues this sweep100/100
Bitmart$6.9B$6.0B0.03 bps0.00 bps6,020×p59 among venues this sweep100/100
BingX$6.4B$1.5B0.16 bps0.04 bps1,509×p28 among venues this sweep100/100
WhiteBIT$6.0B$3.2B2.93 bps1.29 bps3,226×p34 among venues this sweep100/100
Bitunix$6.0B$3.7B0.03 bps0.01 bps3,744×p47 among venues this sweep100/100
KuCoin$1.8B0.25 bps0.80 bps80/100
HTX$1.5B$1.3B0.03 bps0.00 bps1,265×p22 among venues this sweep100/100
Kraken$868.2M1.38 bps0.85 bps80/100
BloFin$705.7M$342.5M0.77 bps0.00 bps342×p3 among venues this sweep100/100
Phemex$659.7M$345.7M0.11 bps0.46 bps346×p9 among venues this sweep100/100
Crypto.com$534.0M$486.4M1.80 bps1.86 bps486×p16 among venues this sweep100/100
Deribit$478.7M1.23 bps0.60 bps80/100

One value for every venue in this sweep, so it is stated here instead of repeated down a column: max standardized fill ≥ $1.0M · data status complete.

“—” = unavailable this sweep (never rendered as zero). “0.00 bps” is a measured reading: the standardized order filled at the touch price in that sweep. Spread and slippage are stored to two decimals, so two decimals is the full stored precision. Data confidence measures OUR observability of the venue (feed and book availability), not the venue's quality — a venue with limited coverage gets lower confidence, not a worse verdict. Reported/support = reported BTC+ETH main-market volume ÷ largest standardized order ($10k–$1M ladder) that filled within the engine's 2% band on both markets; percentile is winsorized across venues. No adjusted or “normalized” dollar volume is published in v1 — signals are shown raw, next to their inputs.

The same ratio over time

Reported volume vs observable support

6-hour sweeps

Reported BTC+ETH main-market volume divided by the largest standardized order the venue's visible book absorbed in the same sweep. These are measurements of public data, not accusations — a high ratio does not claim that any venue misreports volume.

Loading the stored sweeps…

Top 5 venues by reported 24h volume in the newest sweep that carries a ratio. A sweep with no computable ratio for a venue leaves a break in that line — never a zero.

Why reported volume alone is not enough

Reported volume is self-declared by each venue and is the single most-cited exchange statistic. Order-book depth, spread and slippage are independently observable. Comparing the two does not prove anything about any single venue — but across venues, measured identically and repeatedly, the relationship between reported activity and observable liquidity is itself a useful market statistic. We publish the signals separately rather than collapsing them into one opaque score, and where data is missing we say so instead of guessing.

PF

PerpFinder Research

Editorial Team

Editorial team tracking 100+ perpetual futures venues with live on-chain and exchange data.

Data reviewed by:PerpFinder Data Team
Editorially reviewed by:PerpFinder Editorial Review
Originally published:
Last editorial review:
Live data last refreshed: (automatic data pipeline — not an editorial review)
Live data from DefiLlama, Coinalyze, exchange APIsNo paid inclusion or paid rankingsUpdated daily — fees, volume, OI tracked continuouslyOpen methodology — see /how-we-test