Swolecharts
Live crypto data · 10 exchanges
Log inSign up

Arbitrum (ARB) Liquidation Map: Liquidation Levels by Leverage (Estimated)

Estimated nearest among the largest modelled clusters: long $0.1503 (-0.75%); short $0.1632 (+7.75%). 7 days · High leverage (≥25×). Snapshot 2026-11-12 01:05 UTC.Model est-1.0+hl-2026-09-27-25xHigh leverage (≥25×) · last 7 daysOpen interest $92.82M9 exchanges (MEXC excluded) · see coverageMEXC's open interest is a model input but is left out of the headline open interest total (its reported OI does not match its trades)As of 01:05 UTC

ARB liquidation map · ±25% · 7 days

Model estimate
$58K$1.20M$115K$2.39M$173K$3.59M$231K$4.79MLongs at 0.1454–0.1461 (-3.75%): ≈ $17K modelledLongs at 0.1461–0.1469 (-3.25%): ≈ $32K modelledLongs at 0.1469–0.1476 (-2.75%): ≈ $41K modelledLongs at 0.1476–0.1484 (-2.25%): ≈ $49K modelledLongs at 0.1484–0.1492 (-1.75%): ≈ $87K modelledLongs at 0.1492–0.1499 (-1.25%): ≈ $129K modelledLongs at 0.1499–0.1507 (-0.75%): ≈ $144K modelledLongs at 0.1507–0.1514 (-0.25%): ≈ $22K modelledShorts at 0.1522–0.1529 (+0.75%): ≈ $16K modelledShorts at 0.1529–0.1537 (+1.25%): ≈ $108K modelledShorts at 0.1537–0.1545 (+1.75%): ≈ $121K modelledShorts at 0.1545–0.1552 (+2.25%): ≈ $94K modelledShorts at 0.1552–0.1560 (+2.75%): ≈ $91K modelledShorts at 0.1560–0.1567 (+3.25%): ≈ $72K modelledShorts at 0.1567–0.1575 (+3.75%): ≈ $65K modelledShorts at 0.1575–0.1582 (+4.25%): ≈ $81K modelledShorts at 0.1582–0.1590 (+4.75%): ≈ $72K modelledShorts at 0.1590–0.1598 (+5.25%): ≈ $85K modelledShorts at 0.1598–0.1605 (+5.75%): ≈ $119K modelledShorts at 0.1605–0.1613 (+6.25%): ≈ $146K modelledShorts at 0.1613–0.1620 (+6.75%): ≈ $137K modelledShorts at 0.1620–0.1628 (+7.25%): ≈ $100K modelledShorts at 0.1628–0.1635 (+7.75%): ≈ $175K modelledShorts at 0.1635–0.1643 (+8.25%): ≈ $231K modelledShorts at 0.1643–0.1651 (+8.75%): ≈ $202K modelledShorts at 0.1651–0.1658 (+9.25%): ≈ $148K modelledShorts at 0.1658–0.1666 (+9.75%): ≈ $103K modelledShorts at 0.1666–0.1673 (+10.25%): ≈ $73K modelledShorts at 0.1673–0.1681 (+10.75%): ≈ $51K modelledShorts at 0.1681–0.1688 (+11.25%): ≈ $33K modelledShorts at 0.1688–0.1696 (+11.75%): ≈ $67K modelledShorts at 0.1696–0.1703 (+12.25%): ≈ $172K modelledShorts at 0.1703–0.1711 (+12.75%): ≈ $142K modelledShorts at 0.1711–0.1719 (+13.25%): ≈ $88K modelledShorts at 0.1719–0.1726 (+13.75%): ≈ $43K modelledShorts at 0.1726–0.1734 (+14.25%): ≈ $62K modelledShorts at 0.1734–0.1741 (+14.75%): ≈ $98K modelledShorts at 0.1741–0.1749 (+15.25%): ≈ $87K modelledShorts at 0.1749–0.1756 (+15.75%): ≈ $74K modelledShorts at 0.1756–0.1764 (+16.25%): ≈ $107K modelledShorts at 0.1764–0.1772 (+16.75%): ≈ $131K modelledShorts at 0.1772–0.1779 (+17.25%): ≈ $139K modelledShorts at 0.1779–0.1787 (+17.75%): ≈ $113K modelledShorts at 0.1787–0.1794 (+18.25%): ≈ $75K modelledShorts at 0.1794–0.1802 (+18.75%): ≈ $111K modelledShorts at 0.1802–0.1809 (+19.25%): ≈ $139K modelledShorts at 0.1809–0.1817 (+19.75%): ≈ $127K modelledShorts at 0.1817–0.1825 (+20.25%): ≈ $94K modelledShorts at 0.1825–0.1832 (+20.75%): ≈ $72K modelledShorts at 0.1832–0.1840 (+21.25%): ≈ $59K modelledShorts at 0.1840–0.1847 (+21.75%): ≈ $82K modelledShorts at 0.1847–0.1855 (+22.25%): ≈ $112K modelledShorts at 0.1855–0.1862 (+22.75%): ≈ $88K modelledShorts at 0.1862–0.1870 (+23.25%): ≈ $72K modelledShorts at 0.1870–0.1878 (+23.75%): ≈ $43K modelledShorts at 0.1878–0.1885 (+24.25%): ≈ $37K modelledShorts at 0.1885–0.1893 (+24.75%): ≈ $34K modelled0.1136-25.00%0.1287-15.00%0.1439-5.00%0.1590+5.00%0.1741+15.00%0.1893+25.00%ARB 0.1514Model est-1.0+hl-2026-09-27-25x · ≥25× · estimate$115K$2.39M$231K$4.79MLongs at 0.1454–0.1461 (-3.75%): ≈ $17K modelledLongs at 0.1461–0.1469 (-3.25%): ≈ $32K modelledLongs at 0.1469–0.1476 (-2.75%): ≈ $41K modelledLongs at 0.1476–0.1484 (-2.25%): ≈ $49K modelledLongs at 0.1484–0.1492 (-1.75%): ≈ $87K modelledLongs at 0.1492–0.1499 (-1.25%): ≈ $129K modelledLongs at 0.1499–0.1507 (-0.75%): ≈ $144K modelledLongs at 0.1507–0.1514 (-0.25%): ≈ $22K modelledShorts at 0.1522–0.1529 (+0.75%): ≈ $16K modelledShorts at 0.1529–0.1537 (+1.25%): ≈ $108K modelledShorts at 0.1537–0.1545 (+1.75%): ≈ $121K modelledShorts at 0.1545–0.1552 (+2.25%): ≈ $94K modelledShorts at 0.1552–0.1560 (+2.75%): ≈ $91K modelledShorts at 0.1560–0.1567 (+3.25%): ≈ $72K modelledShorts at 0.1567–0.1575 (+3.75%): ≈ $65K modelledShorts at 0.1575–0.1582 (+4.25%): ≈ $81K modelledShorts at 0.1582–0.1590 (+4.75%): ≈ $72K modelledShorts at 0.1590–0.1598 (+5.25%): ≈ $85K modelledShorts at 0.1598–0.1605 (+5.75%): ≈ $119K modelledShorts at 0.1605–0.1613 (+6.25%): ≈ $146K modelledShorts at 0.1613–0.1620 (+6.75%): ≈ $137K modelledShorts at 0.1620–0.1628 (+7.25%): ≈ $100K modelledShorts at 0.1628–0.1635 (+7.75%): ≈ $175K modelledShorts at 0.1635–0.1643 (+8.25%): ≈ $231K modelledShorts at 0.1643–0.1651 (+8.75%): ≈ $202K modelledShorts at 0.1651–0.1658 (+9.25%): ≈ $148K modelledShorts at 0.1658–0.1666 (+9.75%): ≈ $103K modelledShorts at 0.1666–0.1673 (+10.25%): ≈ $73K modelledShorts at 0.1673–0.1681 (+10.75%): ≈ $51K modelledShorts at 0.1681–0.1688 (+11.25%): ≈ $33K modelledShorts at 0.1688–0.1696 (+11.75%): ≈ $67K modelledShorts at 0.1696–0.1703 (+12.25%): ≈ $172K modelledShorts at 0.1703–0.1711 (+12.75%): ≈ $142K modelledShorts at 0.1711–0.1719 (+13.25%): ≈ $88K modelledShorts at 0.1719–0.1726 (+13.75%): ≈ $43K modelledShorts at 0.1726–0.1734 (+14.25%): ≈ $62K modelledShorts at 0.1734–0.1741 (+14.75%): ≈ $98K modelledShorts at 0.1741–0.1749 (+15.25%): ≈ $87K modelledShorts at 0.1749–0.1756 (+15.75%): ≈ $74K modelledShorts at 0.1756–0.1764 (+16.25%): ≈ $107K modelledShorts at 0.1764–0.1772 (+16.75%): ≈ $131K modelledShorts at 0.1772–0.1779 (+17.25%): ≈ $139K modelledShorts at 0.1779–0.1787 (+17.75%): ≈ $113K modelledShorts at 0.1787–0.1794 (+18.25%): ≈ $75K modelledShorts at 0.1794–0.1802 (+18.75%): ≈ $111K modelledShorts at 0.1802–0.1809 (+19.25%): ≈ $139K modelledShorts at 0.1809–0.1817 (+19.75%): ≈ $127K modelledShorts at 0.1817–0.1825 (+20.25%): ≈ $94K modelledShorts at 0.1825–0.1832 (+20.75%): ≈ $72K modelledShorts at 0.1832–0.1840 (+21.25%): ≈ $59K modelledShorts at 0.1840–0.1847 (+21.75%): ≈ $82K modelledShorts at 0.1847–0.1855 (+22.25%): ≈ $112K modelledShorts at 0.1855–0.1862 (+22.75%): ≈ $88K modelledShorts at 0.1862–0.1870 (+23.25%): ≈ $72K modelledShorts at 0.1870–0.1878 (+23.75%): ≈ $43K modelledShorts at 0.1878–0.1885 (+24.25%): ≈ $37K modelledShorts at 0.1885–0.1893 (+24.75%): ≈ $34K modelled0.1136-25.00%0.1325-12.50%0.1703+12.50%0.1893+25.00%ARB 0.1514Model est-1.0+hl-2026-09-27-25x · ≥25× · estimate
Longs liquidated (price falls)Shorts liquidated (price rises)Cumulative from the price outwards (right axis)

Model est-1.0+hl-2026-09-27-25x · High leverage (≥25×) · positions opened in the last 7 days. Each bar is 0.0007571 wide. Outside the chart: ≈ $0 of longs and $57K of shorts.

See how these levels built up over time on the ARB liquidation heatmap.

Long levelswithin −10%
$520K
densest near 0.1503
Short levelswithin +10%
$2.15M
densest near 0.1639
Modelled liquidationslast 7 days
$71.60M
exchanges reported $3.73M
Open interestall exchanges
$92.82M
$520K long · $4.85M short levels

This is a model estimate for all tracked exchanges, not real positions.

An estimated liquidation map for Arbitrum (ARB): liquidation levels by leverage, the modelled value of positions that would be liquidated at each price if it got there, longs below the current price and shorts above, from positions opened in the chosen window across Binance, Bybit, Hyperliquid, Bitget, Gate, HTX, MEXC, KuCoin, Aster, Lighter. Right now the nearest modelled ARB long cluster is at $0.1503 (-0.75%) and the nearest short cluster at $0.1632 (+7.75%); about $520K of longs and $729K of shorts are modelled within ±5% of the $0.1514 price. Looking for where liquidations may cluster over time? See the ARB liquidation heatmap. Looking for liquidations that already happened? See ARB liquidations.

The model places $520K of long and $4.85M of short liquidation levels for ARB from positions opened in the last 7 days (high leverage (≥25×)). Within 10% of the 0.1514 price: about $520K of longs below and $2.15M of shorts above. The densest modelled clusters are longs near 0.1503 (-0.75%) and shorts near 0.1639 (+8.25%).

Liquidation maps for other coins

The densest estimated long and short clusters, as tables with their distance and size: ARB liquidation levels.

Modelled liquidations near the price

High leverage (≥25×) · last 7 days
Price moveLongs liquidated (price falls)Shorts liquidated (price rises)
±2%$385K$237K
±5%$520K$729K
±10%$520K$2.15M

How this estimate is made

Model est-1.0+hl-2026-09-27-25x

Inputs are the open interest, prices and volume this site records from Binance, Bybit, Hyperliquid, Bitget, Gate, HTX, MEXC, KuCoin, Aster, Lighter. Every rise in open interest is booked as a new long and a new short at the period's volume-weighted price; falls in open interest close positions proportionally; positions also decay with a multi-day half-life; and a level is removed once the price trades through it (those are the "modelled liquidations"). Liquidation prices are spread over this distance-from-entry distribution, measured on real Hyperliquid positions and cut to positions at ≥25× leverage (the distribution table is on the ARB liquidation heatmap).

Known limits: prices are last-trade bars averaged across exchanges, not mark prices; opens and closes inside one open-interest snapshot (5 minutes on Binance) cancel out; one distribution is used for every coin and both sides. USD values are "≈ modelled", best read as relative intensity. Full method and a daily accuracy scoreboard against real liquidations: liquidation heatmap methodology. Estimates may be materially wrong; not financial advice.

ARB liquidation map FAQ

Is this Arbitrum liquidation map real data?

No, it is a model estimate. Exchanges do not publish where their users' positions would be liquidated, so every liquidation heatmap for Binance or Bybit (including the well-known ones) is a model. This one starts from real data: the open interest changes, prices and trading volume this site records from the exchanges' public APIs. Actual liquidations are usually lower, because most positions are closed long before they are liquidated.

How is it calculated?

Every rise in open interest is a new long and a new short, entered at that period's volume-weighted price. The model spreads their liquidation prices over a distance-to-liquidation distribution taken from a notional-weighted sample of Hyperliquid positions, where the distance was measured from the mark price; the model reuses it as an assumption about the distance from entry when it allocates new notional. It places 74.0% of modeled new notional within 50% of entry; the rest is assumed too far away or not liquidatable. Falls in open interest close positions proportionally, positions also decay with a 5-day half-life, and a level is removed once the price trades through it. The model version on the chart says which formula and distribution were used, and the methodology page describes the sample.

What do the ranges and the ≥25× view mean?

The range is the replay window: the map shows positions opened in the last 12 hours to 30 days. All leverage uses the whole distribution; High leverage (≥25×) keeps only positions liquidated within 4% of their entry, the short-term levels that get hit first.

How is this different from the Hyperliquid liquidation map?

Hyperliquid is an on-chain exchange, so its positions and their liquidation prices are public. The Hyperliquid liquidation map adds up the real positions of tracked wallets on Hyperliquid only. This page is an estimate for all tracked exchanges together, Binance, Bybit and Hyperliquid included. The two are not independent checks of each other: their scope differs (one venue's tracked wallets versus a multi-venue model), the tracked wallets are only a sample of Hyperliquid positions, the two are refreshed at different times, and this model's leverage distribution is itself measured on Hyperliquid positions. A level that shows on both is not shown to be more accurate, and neither predicts that the price will get there.

Can I trade on it?

Treat it as context, not a signal. Clusters show where forced closes may bunch up if the price gets there; they don't predict that it will. Nothing here is financial advice, estimates may be materially wrong, and derivatives trading can lose more than your deposit.