115,006 Large-Trade Alerts in 78 Days: Where Crypto Whales Actually Print
Every large-trade alert Vultax logged from 18 June to 3 September 2026 across six exchanges: who prints the biggest, how balanced the flow was, and why HTX carried more large-trade notional than Binance.
- Alerts logged
115,006
18 June to 3 September 2026 across Binance, HTX, Coinbase, Gate.io, Kraken and KuCoin; 60 days with data
- Single large trades
59,803
Median $46K notional; 604 prints between $1M and $5M; four above $5M
- Largest print
$7.06M
A BTC-USD sell on Coinbase, 27 June 2026, 02:09 UTC
- Buy share
51.1%
Alerts flagged as buys; between 47.5% and 52.6% on every venue
What was measured
The Vultax whale tracker watches exchange trade feeds and raises an alert when a print is large for its pair and venue. Every alert is stored with the exchange, pair, side, price, quantity and notional at the moment it fired. This article reports that log, unfiltered, for the 78 days from 18 June to 3 September 2026: 115,006 alerts from six exchanges, on 60 days with data. The 18 days without data are collection gaps and are reported as gaps rather than filled.
Three detectors contribute. A single large trade fires when one print clears the notional threshold for its pair, which sat at roughly $29,000 at the low end during this window. A burst fires when several large trades land inside a 45-second window. A momentum alert fires on three or more consecutive large trades on the same side. One trade can trigger more than one detector, so alerts outnumber trades: 59,803 of the alerts are single large trades, 34,948 are bursts, and 20,255 are momentum alerts.
- Venues — Binance, HTX, Coinbase, Gate.io, Kraken and KuCoin, the six where the trade feed was complete enough to run detection
- Pairs — BTC accounts for 81% of alerts (BTC/USDT and BTC-USD together), ETH/USDT for 12%, SOL for 5.5%
- Notional — every figure is the print's own price times quantity; alerts that share a trade are double-counted in the $11.38B all-alert total, so venue comparisons below use single large trades only
Who prints the biggest
Counting single large trades only, Binance produced the most prints and HTX produced the most money. Binance logged 20,022 large trades worth $1.10B, with a median print of $43,000 and a 90th percentile of $84,000. HTX logged 19,617 large trades worth $2.88B, with a median of $65,000 and a 90th percentile of $364,000, more than four times Binance's. Coinbase followed with 11,294 prints and $0.68B, then Gate.io with 5,480 and $0.30B, Kraken with 1,804 and $0.09B, and KuCoin with 1,586 and $0.08B.
Put differently, HTX accounted for a third of the large trades in the sample and 56% of the large-trade notional. The gap widened over the summer: HTX large-trade notional went from $0.58B in June to $0.84B in July and $1.39B in August, while Binance went from $0.24B to $0.38B to $0.44B.
A large print is not, by itself, evidence of genuine demand. The academic literature on crypto volume, summarised in our wash-trading study, finds that reported activity on some venues is dominated by trades with no economic purpose, and a venue where prints are structurally larger deserves the same question. That is why the terminal shows a venue-quality score next to every print instead of ranking venues by size. Nothing here is a claim about why HTX prints are larger; it is a measurement of the fact that they are.
- HTX — 19,617 large trades, median $65K, p90 $364K, $2.88B (56% of large-trade notional)
- Binance — 20,022 large trades, median $43K, p90 $84K, $1.10B
- Coinbase — 11,294 large trades, median $46K, p90 $86K, $0.68B
- Gate.io — 5,480 large trades, median $44K, p90 $92K, $0.30B
- Kraken — 1,804 large trades, median $46K, p90 $73K, $0.09B
- KuCoin — 1,586 large trades, median $39K, p90 $74K, $0.08B
How big a whale is
Most alerts are not enormous. 91,246 of the 115,006 (79%) were under $100,000. Another 15,572 fell between $100,000 and $250,000, 5,098 between $250,000 and $500,000, and 2,482 between $500,000 and $1M. Only 604 alerts were between $1M and $5M, and four exceeded $5M. Those 608 prints above $1M carried $0.94B, about 8% of all alert notional, from half a percent of the alerts.
The five largest prints in the window were a $7.06M BTC-USD sell on Coinbase on 27 June, a $5.45M ETH/USDT sell on HTX on 19 August, a $5.26M BTC/USDT sell on HTX on 13 July, a $4.69M BTC-USD buy on Coinbase on 20 August, and a $4.24M BTC-USD sell on Coinbase on 27 June. Four of the five were sells.
Flow was close to balanced, and clustering is the signal
51.1% of all alerts were buys. No venue strayed far from that: KuCoin was lowest at 47.5% buys and HTX highest at 52.6%. Across the last three weeks of the window the daily buy share ranged from 49.4% to 56.5%. At the level of raw counts, large flow was near-balanced on most days.
What separates a day is not the count of large prints but how they cluster. The burst detector fired 34,948 times and the momentum detector 20,255 times, and those clusters, not isolated prints, are what the whale-tracking workflow treats as a read on intent. A single $400,000 buy is a data point. Six of them inside a minute on two venues is a position being built.
What the tape looks like below the threshold
For scale, a 25% sample of every BTC trade on Binance and Coinbase over the 24 hours to 3 September 2026 puts the median Binance BTC/USDT print at five dollars, the 90th percentile at $383 and the 99th at $6,575. On Coinbase the median was $25, the 90th percentile $1,699 and the 99th $11,413. Trades of $100,000 or more made up 4.4% of sampled notional on Binance and 2.8% on Coinbase.
A $50,000 alert therefore sits more than 100 times above the median Binance trade and around the 99.5th percentile of the tape. Whale alerts are, by construction, the far tail, which is why a handful of them carries so much of the notional.
Limits of this measurement
Alerts count detector events, not unique trades, and thresholds differ by pair and venue, so a venue with more small pairs under coverage will show more alerts per dollar. Detection ran on six venues where the trade feed was complete; the terminal covers more venues for order books than for trades. Eighteen of the 78 days have no data and are excluded rather than interpolated. All notional is measured at the print price and is not adjusted for the same capital cycling through a venue. The raw alert log is retained, so every figure here can be recomputed.
- Window — 2026-06-18 to 2026-09-03 00:26 UTC, 60 days with data
- Threshold — pair- and venue-specific; the smallest alert in the window was about $29,000
- Dataset — daily alerts, large trades, bursts, momentum alerts, buy share and notional by exchange are available as a CSV on this page
Sources and evidence
- Vultax whale tracker — how large-trade, burst and momentum alerts are raised
Alert definitions and the venue, side, size and timing context stored with each print
- Vultax methodology — data sources and coverage
Trade-feed sources, coverage limits and the explicit-gap standard
- Vultax — Crypto Wash Trading: What the Research Actually Shows
Why large reported activity on a venue is not by itself evidence of genuine demand
- Kyle, A. S. (1985). Continuous Auctions and Insider Trading. Econometrica 53(6)
The canonical model of how informed large orders move price and why size is read as information
- Easley, D., López de Prado, M., O'Hara, M. (2012). Flow Toxicity and Liquidity in a High-Frequency World. Review of Financial Studies 25(5)
Order-flow imbalance as a measure of informed trading, the basis for reading clustered same-side prints
- Makarov, I., Schoar, A. (2020). Trading and arbitrage in cryptocurrency markets. Journal of Financial Economics 135(2)
Venue segmentation in crypto markets and why the same flow looks different across exchanges
- Binance spot WebSocket streams documentation
Trade and aggregate-trade stream semantics that determine what a single print is
Figures describe large-trade alerts logged by Vultax detection pipelines from observed exchange trade feeds over the stated window. They are not a statement about any exchange's conduct, are not an allegation of wrongdoing by any venue or participant, and nothing here is financial advice.
See the live data behind this article.
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Get the data behind this study.
Daily large-trade alerts by exchange, 18 June to 2 September 2026 (CSV), as a CSV, plus one email when the next study publishes.
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