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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 $191K of long and $1.21M of short liquidation levels for XPL from positions opened in the last 12 hours (high leverage (≥25×)). Within 10% of the 0.1028 price: about $191K of longs below and $1.21M of shorts above. The densest modelled clusters are longs near 0.1016 (-1.25%) and shorts near 0.1098 (+6.75%).

Model est-1.0+hl-2026-09-27-25xHigh leverage (≥25×) · last 12 hoursOpen interest $191.55MAs of 06:38 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%
$191K
densest near 0.1016
Short levelswithin +10%
$1.21M
densest near 0.1098
Modelled liquidationslast 12 hours
$4.26M
exchanges reported $257K
Open interestall exchanges
$191.55M
$191K long · $1.21M short levels

XPL liquidation map · ±25% · 12 hours

$63K$301K$125K$603K$188K$904K$250K$1.21MLongs at 0.09822–0.09873 (-4.25%): ≈ $142 modelledLongs at 0.09873–0.09925 (-3.75%): ≈ $632 modelledLongs at 0.09925–0.09976 (-3.25%): ≈ $6,995 modelledLongs at 0.09976–0.1003 (-2.75%): ≈ $20K modelledLongs at 0.1003–0.1008 (-2.25%): ≈ $27K modelledLongs at 0.1008–0.1013 (-1.75%): ≈ $31K modelledLongs at 0.1013–0.1018 (-1.25%): ≈ $59K modelledLongs at 0.1018–0.1023 (-0.75%): ≈ $29K modelledLongs at 0.1023–0.1028 (-0.25%): ≈ $17K modelledShorts at 0.1034–0.1039 (+0.75%): ≈ $196 modelledShorts at 0.1039–0.1044 (+1.25%): ≈ $773 modelledShorts at 0.1044–0.1049 (+1.75%): ≈ $23K modelledShorts at 0.1049–0.1054 (+2.25%): ≈ $64K modelledShorts at 0.1054–0.1059 (+2.75%): ≈ $69K modelledShorts at 0.1059–0.1064 (+3.25%): ≈ $55K modelledShorts at 0.1064–0.1070 (+3.75%): ≈ $66K modelledShorts at 0.1070–0.1075 (+4.25%): ≈ $66K modelledShorts at 0.1075–0.1080 (+4.75%): ≈ $50K modelledShorts at 0.1080–0.1085 (+5.25%): ≈ $28K modelledShorts at 0.1085–0.1090 (+5.75%): ≈ $35K modelledShorts at 0.1090–0.1095 (+6.25%): ≈ $65K modelledShorts at 0.1095–0.1100 (+6.75%): ≈ $250K modelledShorts at 0.1100–0.1106 (+7.25%): ≈ $155K modelledShorts at 0.1106–0.1111 (+7.75%): ≈ $126K modelledShorts at 0.1111–0.1116 (+8.25%): ≈ $94K modelledShorts at 0.1116–0.1121 (+8.75%): ≈ $43K modelledShorts at 0.1121–0.1126 (+9.25%): ≈ $11K modelledShorts at 0.1126–0.1131 (+9.75%): ≈ $3,079 modelled0.07713-25.00%0.08742-15.00%0.09770-5.00%0.1080+5.00%0.1183+15.00%0.1286+25.00%XPL 0.1028Model est-1.0+hl-2026-09-27-25x · ≥25× · estimate$125K$603K$250K$1.21MLongs at 0.09822–0.09873 (-4.25%): ≈ $142 modelledLongs at 0.09873–0.09925 (-3.75%): ≈ $632 modelledLongs at 0.09925–0.09976 (-3.25%): ≈ $6,995 modelledLongs at 0.09976–0.1003 (-2.75%): ≈ $20K modelledLongs at 0.1003–0.1008 (-2.25%): ≈ $27K modelledLongs at 0.1008–0.1013 (-1.75%): ≈ $31K modelledLongs at 0.1013–0.1018 (-1.25%): ≈ $59K modelledLongs at 0.1018–0.1023 (-0.75%): ≈ $29K modelledLongs at 0.1023–0.1028 (-0.25%): ≈ $17K modelledShorts at 0.1034–0.1039 (+0.75%): ≈ $196 modelledShorts at 0.1039–0.1044 (+1.25%): ≈ $773 modelledShorts at 0.1044–0.1049 (+1.75%): ≈ $23K modelledShorts at 0.1049–0.1054 (+2.25%): ≈ $64K modelledShorts at 0.1054–0.1059 (+2.75%): ≈ $69K modelledShorts at 0.1059–0.1064 (+3.25%): ≈ $55K modelledShorts at 0.1064–0.1070 (+3.75%): ≈ $66K modelledShorts at 0.1070–0.1075 (+4.25%): ≈ $66K modelledShorts at 0.1075–0.1080 (+4.75%): ≈ $50K modelledShorts at 0.1080–0.1085 (+5.25%): ≈ $28K modelledShorts at 0.1085–0.1090 (+5.75%): ≈ $35K modelledShorts at 0.1090–0.1095 (+6.25%): ≈ $65K modelledShorts at 0.1095–0.1100 (+6.75%): ≈ $250K modelledShorts at 0.1100–0.1106 (+7.25%): ≈ $155K modelledShorts at 0.1106–0.1111 (+7.75%): ≈ $126K modelledShorts at 0.1111–0.1116 (+8.25%): ≈ $94K modelledShorts at 0.1116–0.1121 (+8.75%): ≈ $43K modelledShorts at 0.1121–0.1126 (+9.25%): ≈ $11K modelledShorts at 0.1126–0.1131 (+9.75%): ≈ $3,079 modelled0.07713-25.00%0.08999-12.50%0.1157+12.50%0.1286+25.00%XPL 0.1028Model 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 12 hours. Each bar is 0.0005142 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 0.1028
PriceDistance≈ Modelled
0.1013–0.1018-1.25%$59K
0.1008–0.1013-1.75%$31K
0.1018–0.1023-0.75%$29K
0.1003–0.1008-2.25%$27K
0.09976–0.1003-2.75%$20K

Densest short liquidation levels

above 0.1028
PriceDistance≈ Modelled
0.1095–0.1100+6.75%$250K
0.1100–0.1106+7.25%$155K
0.1106–0.1111+7.75%$126K
0.1111–0.1116+8.25%$94K
0.1054–0.1059+2.75%$69K

Modelled liquidations near the price

High leverage (≥25×) · last 12 hours
Price moveLongs liquidated (price falls)Shorts liquidated (price rises)
±2%$133K$30K
±5%$191K$388K
±10%$191K$1.21M

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.