What does historical liquidation data measure?
It aggregates reported forced perpetual futures closures over time, usually separated into long and short notional, symbols, venues, and time buckets.
Historical Crypto Liquidations Dashboard
Crypto Perpetual Futures Liquidations | Last 30 Days
From through , Loris Tools recorded $46.12B in cryptocurrency perpetual futures liquidations: $20.91B across 1,448,893 long liquidations and $25.21B across 1,327,517 short liquidations. The historical series uses 1h buckets.
This period was classified as a Two-sided, with 45% of liquidated value from longs and 55% from shorts. The leading symbol was BTC and the leading exchange was Binance.
Most-Liquidated Crypto Symbols (30d)
| Rank | Symbol | Total Liquidated (USD) | Long Liquidations (USD) | Short Liquidations (USD) | Events |
|---|---|---|---|---|---|
| 1 | BTC | $34.59B | $15.34B | $19.26B | 261,300 |
| 2 | ETH | $6.71B | $3.04B | $3.66B | 139,723 |
| 3 | SOL | $557.16M | $246.93M | $310.23M | 75,714 |
| 4 | XRP | $400.28M | $258.50M | $141.78M | 75,839 |
| 5 | BNB | $367.88M | $189.52M | $178.36M | 10,593 |
| 6 | ZEC | $265.16M | $72.77M | $192.39M | 60,606 |
| 7 | SNDK | $176.14M | $71.65M | $104.50M | 38,971 |
| 8 | HYPE | $175.50M | $73.67M | $101.83M | 47,422 |
| 9 | DOGE | $126.60M | $86.03M | $40.57M | 27,826 |
| 10 | TRUMP | $121.13M | $68.45M | $52.68M | 58,014 |
| 11 | SPCX | $106.28M | $41.00M | $65.28M | 27,213 |
| 12 | XAU | $97.55M | $43.25M | $54.30M | 18,446 |
| 13 | ENA | $84.68M | $45.07M | $39.61M | 33,865 |
| 14 | PUMP | $75.88M | $38.16M | $37.72M | 35,281 |
| 15 | PEPE | $74.65M | $46.49M | $28.16M | 21,083 |
| 16 | TUT | $70.52M | $15.99M | $54.53M | 45,146 |
| 17 | AKE | $59.63M | $10.69M | $48.94M | 41,097 |
| 18 | SUI | $48.47M | $36.00M | $12.47M | 14,677 |
| 19 | ADA | $46.21M | $28.04M | $18.16M | 15,657 |
| 20 | LINK | $38.57M | $14.03M | $24.54M | 10,839 |
| 21 | WLD | $37.63M | $27.57M | $10.06M | 15,357 |
| 22 | SKHX | $37.19M | $19.52M | $17.67M | 9,062 |
| 23 | UNI | $34.02M | $18.19M | $15.83M | 13,820 |
| 24 | XAG | $32.93M | $17.08M | $15.85M | 6,914 |
| 25 | ONG | $31.64M | $14.21M | $17.43M | 32,926 |
| 26 | FARTCOIN | $30.80M | $24.49M | $6.31M | 16,851 |
| 27 | ACE | $29.02M | $12.58M | $16.43M | 41,501 |
| 28 | APR | $28.41M | $12.68M | $15.73M | 34,116 |
| 29 | CL | $27.06M | $12.01M | $15.06M | 5,844 |
| 30 | BEAT | $26.92M | $18.28M | $8.63M | 43,173 |
Historical Liquidations by Exchange (30d)
| Rank | Exchange | Total Liquidated (USD) | Long Liquidations (USD) | Short Liquidations (USD) | Events |
|---|---|---|---|---|---|
| 1 | Binance | $39.63B | $18.48B | $21.15B | 1,078,587 |
| 2 | Hyperliquid | $1.61B | $454.51M | $1.16B | 326,387 |
| 3 | Bybit | $1.51B | $531.38M | $981.90M | 509,684 |
| 4 | OKX | $1.05B | $516.49M | $537.28M | 318,026 |
| 5 | Bitget | $833.15M | $263.52M | $569.63M | 156,117 |
| 6 | Gate.io | $591.90M | $214.52M | $377.38M | 191,164 |
| 7 | HTX | $290.65M | $173.63M | $117.02M | 41,278 |
| 8 | Trade[XYZ] | $261.54M | $132.25M | $129.29M | 100,336 |
| 9 | Aster | $190.93M | $102.59M | $88.34M | 16,934 |
| 10 | Lighter | $98.52M | $18.21M | $80.32M | 23,464 |
| 11 | Nado | $17.59M | $10.13M | $7.46M | 2,264 |
| 12 | Extended | $14.54M | $2.52M | $12.02M | 2,508 |
| 13 | Paragon | $5.30M | $2.43M | $2.87M | 4,887 |
| 14 | Pacifica | $5.30M | $1.76M | $3.54M | 2,923 |
| 15 | EntropyIO | $1.75M | $635.99K | $1.11M | 1,613 |
| 16 | HyENA | $276.12K | $72.67K | $203.45K | 202 |
| 17 | Markets by Kinetiq | $69.43K | $16.97K | $52.46K | 36 |
Largest Historical Liquidation Spikes (30d)
| Start | End | Total Liquidated (USD) | Long Liquidations (USD) | Short Liquidations (USD) | Top Symbol | Top Exchange |
|---|---|---|---|---|---|---|
| $7.22B | $182.97M | $7.04B | BTC | Binance | ||
| $6.00B | $5.99B | $17.97M | BTC | Binance | ||
| $2.15B | $15.39M | $2.13B | BTC | Binance | ||
| $2.13B | $7.74M | $2.13B | BTC | Binance | ||
| $1.91B | $1.90B | $11.61M | BTC | Binance |
How to Analyze Historical Crypto Liquidations
Historical liquidation data shows where and when leveraged positions were force-closed. Compare long and short liquidations over time, rank symbols and exchanges, inspect realized liquidation price levels, and identify concentrated liquidation spikes. Unlike projected liquidation maps, this dashboard is based on liquidation events that already occurred.
FAQs
Historical crypto liquidation questions
Historical totals reveal when forced long and short closures clustered by time, symbol, and exchange.
What does a long-versus-short liquidation imbalance mean?
It shows which side suffered more forced closures during the period. A long-heavy bucket often accompanies a sharp decline, while a short-heavy bucket often accompanies a sharp rise.
Do high liquidations cause price moves?
They can accelerate a move through forced market orders, but they can also be a consequence of volatility that began for another reason. Timing and order book depth help distinguish the sequence.
Why compare liquidations across exchanges?
Venue comparisons show where leverage was concentrated and where risk engines forced the most position closures. Differences in market share and reporting coverage should be considered.
How should traders interpret a liquidation spike?
Treat it as evidence of leverage being removed, not a standalone buy or sell signal. Compare the spike with price, volume, open interest, funding, and subsequent liquidity.