Volume Monitor
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XPL Liquidation Map (Estimated)

An estimated liquidation map for XPL: 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. For real positions instead of a model, see the XPL liquidation map on Hyperliquid.

The model places $1.15M of long and $1.54M of short liquidation levels for XPL from positions opened in the last 7 days (high leverage (≥25×)). Within 10% of the 0.1060 price: about $1.15M of longs below and $1.54M of shorts above. The densest modelled clusters are longs near 0.1031 (-2.75%) and shorts near 0.1089 (+2.75%).

Model est-1.0+hl-2026-09-27-25xHigh leverage (≥25×) · last 7 daysOpen interest $200.10MAs of 00:16 UTC

This is a model estimate for all tracked exchanges, not real positions. The XPL liquidation map on Hyperliquid shows the real liquidation prices of tracked Hyperliquid wallets instead.

Long levelswithin −10%
$1.15M
densest near 0.1031
Short levelswithin +10%
$1.54M
densest near 0.1089
Modelled liquidationslast 7 days
$4.08M
exchanges reported $229K
Open interestall exchanges
$200.10M
$1.15M long · $1.54M short levels

XPL liquidation map · ±25% · 7 days

$102K$384K$205K$768K$307K$1.15M$409K$1.54MLongs at 0.1002–0.1007 (-5.25%): ≈ $24K modelledLongs at 0.1007–0.1012 (-4.75%): ≈ $43K modelledLongs at 0.1012–0.1018 (-4.25%): ≈ $62K modelledLongs at 0.1018–0.1023 (-3.75%): ≈ $88K modelledLongs at 0.1023–0.1028 (-3.25%): ≈ $191K modelledLongs at 0.1028–0.1034 (-2.75%): ≈ $268K modelledLongs at 0.1034–0.1039 (-2.25%): ≈ $197K modelledLongs at 0.1039–0.1044 (-1.75%): ≈ $171K modelledLongs at 0.1044–0.1050 (-1.25%): ≈ $81K modelledLongs at 0.1050–0.1055 (-0.75%): ≈ $25K modelledShorts at 0.1060–0.1065 (+0.25%): ≈ $1,115 modelledShorts at 0.1065–0.1071 (+0.75%): ≈ $11K modelledShorts at 0.1071–0.1076 (+1.25%): ≈ $34K modelledShorts at 0.1076–0.1081 (+1.75%): ≈ $41K modelledShorts at 0.1081–0.1087 (+2.25%): ≈ $139K modelledShorts at 0.1087–0.1092 (+2.75%): ≈ $409K modelledShorts at 0.1092–0.1097 (+3.25%): ≈ $313K modelledShorts at 0.1097–0.1103 (+3.75%): ≈ $200K modelledShorts at 0.1103–0.1108 (+4.25%): ≈ $165K modelledShorts at 0.1108–0.1113 (+4.75%): ≈ $113K modelledShorts at 0.1113–0.1118 (+5.25%): ≈ $73K modelledShorts at 0.1118–0.1124 (+5.75%): ≈ $22K modelledShorts at 0.1124–0.1129 (+6.25%): ≈ $9,530 modelledShorts at 0.1129–0.1134 (+6.75%): ≈ $2,211 modelledShorts at 0.1134–0.1140 (+7.25%): ≈ $1,121 modelledShorts at 0.1140–0.1145 (+7.75%): ≈ $906 modelled0.07951-25.00%0.09011-15.00%0.1007-5.00%0.1113+5.00%0.1219+15.00%0.1325+25.00%XPL 0.1060Model est-1.0+hl-2026-09-27-25x · ≥25× · estimate$205K$768K$409K$1.54MLongs at 0.1002–0.1007 (-5.25%): ≈ $24K modelledLongs at 0.1007–0.1012 (-4.75%): ≈ $43K modelledLongs at 0.1012–0.1018 (-4.25%): ≈ $62K modelledLongs at 0.1018–0.1023 (-3.75%): ≈ $88K modelledLongs at 0.1023–0.1028 (-3.25%): ≈ $191K modelledLongs at 0.1028–0.1034 (-2.75%): ≈ $268K modelledLongs at 0.1034–0.1039 (-2.25%): ≈ $197K modelledLongs at 0.1039–0.1044 (-1.75%): ≈ $171K modelledLongs at 0.1044–0.1050 (-1.25%): ≈ $81K modelledLongs at 0.1050–0.1055 (-0.75%): ≈ $25K modelledShorts at 0.1060–0.1065 (+0.25%): ≈ $1,115 modelledShorts at 0.1065–0.1071 (+0.75%): ≈ $11K modelledShorts at 0.1071–0.1076 (+1.25%): ≈ $34K modelledShorts at 0.1076–0.1081 (+1.75%): ≈ $41K modelledShorts at 0.1081–0.1087 (+2.25%): ≈ $139K modelledShorts at 0.1087–0.1092 (+2.75%): ≈ $409K modelledShorts at 0.1092–0.1097 (+3.25%): ≈ $313K modelledShorts at 0.1097–0.1103 (+3.75%): ≈ $200K modelledShorts at 0.1103–0.1108 (+4.25%): ≈ $165K modelledShorts at 0.1108–0.1113 (+4.75%): ≈ $113K modelledShorts at 0.1113–0.1118 (+5.25%): ≈ $73K modelledShorts at 0.1118–0.1124 (+5.75%): ≈ $22K modelledShorts at 0.1124–0.1129 (+6.25%): ≈ $9,530 modelledShorts at 0.1129–0.1134 (+6.75%): ≈ $2,211 modelledShorts at 0.1134–0.1140 (+7.25%): ≈ $1,121 modelledShorts at 0.1140–0.1145 (+7.75%): ≈ $906 modelled0.07951-25.00%0.09276-12.50%0.1193+12.50%0.1325+25.00%XPL 0.1060Model 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 0.0005301 wide. Outside the chart: ≈ $0 of longs and $0 of shorts.

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

Densest long liquidation levels

below 0.1060
PriceDistance≈ Modelled
0.1028–0.1034-2.75%$268K
0.1034–0.1039-2.25%$197K
0.1023–0.1028-3.25%$191K
0.1039–0.1044-1.75%$171K
0.1018–0.1023-3.75%$88K

Densest short liquidation levels

above 0.1060
PriceDistance≈ Modelled
0.1087–0.1092+2.75%$409K
0.1092–0.1097+3.25%$313K
0.1097–0.1103+3.75%$200K
0.1103–0.1108+4.25%$165K
0.1081–0.1087+2.25%$139K

Modelled liquidations near the price

High leverage (≥25×) · last 7 days
Price moveLongs liquidated (price falls)Shorts liquidated (price rises)
±2%$311K$80K
±5%$1.13M$1.42M
±10%$1.15M$1.54M

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. 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:

Liquidation distance from entryShare of new positions
0% – 2%12.0%
2% – 4%4.7%

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.

XPL liquidation map FAQ

Is this XPL 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 measured on real Hyperliquid positions (74.0% of new positions within 50% of entry; the rest are too far away or can't be liquidated). 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.

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 XPL liquidation map on Hyperliquid 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. Use both: where they agree, the level is more likely real.

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.