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Pepe (PEPE) Liquidation Map: Liquidation Levels by Leverage (Estimated)

Estimated nearest among the largest modelled clusters: long $0.0000045225 (-0.75%); short $0.0000050237 (+10.25%). 24 hours · High leverage (≥25×). Snapshot 2026-11-11 23:30 UTC.Model est-1.0+hl-2026-09-27-25xHigh leverage (≥25×) · last 24 hoursOpen interest $237.00M9 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 23:30 UTC

PEPE liquidation map · ±25% · 24 hours

Model estimate
$223K$4.05M$446K$8.11M$669K$12.16M$892K$16.21MLongs at 0.0000043516–0.0000043744 (-4.25%): ≈ $26K modelledLongs at 0.0000043744–0.0000043972 (-3.75%): ≈ $90K modelledLongs at 0.0000043972–0.0000044199 (-3.25%): ≈ $100K modelledLongs at 0.0000044199–0.0000044427 (-2.75%): ≈ $101K modelledLongs at 0.0000044427–0.0000044655 (-2.25%): ≈ $198K modelledLongs at 0.0000044655–0.0000044883 (-1.75%): ≈ $380K modelledLongs at 0.0000044883–0.0000045111 (-1.25%): ≈ $458K modelledLongs at 0.0000045111–0.0000045339 (-0.75%): ≈ $285K modelledShorts at 0.0000045566–0.0000045794 (+0.25%): ≈ $38K modelledShorts at 0.0000045794–0.0000046022 (+0.75%): ≈ $336K modelledShorts at 0.0000046022–0.0000046250 (+1.25%): ≈ $364K modelledShorts at 0.0000046250–0.0000046478 (+1.75%): ≈ $297K modelledShorts at 0.0000046478–0.0000046706 (+2.25%): ≈ $241K modelledShorts at 0.0000046706–0.0000046933 (+2.75%): ≈ $316K modelledShorts at 0.0000046933–0.0000047161 (+3.25%): ≈ $335K modelledShorts at 0.0000047161–0.0000047389 (+3.75%): ≈ $251K modelledShorts at 0.0000047389–0.0000047617 (+4.25%): ≈ $232K modelledShorts at 0.0000047617–0.0000047845 (+4.75%): ≈ $322K modelledShorts at 0.0000047845–0.0000048073 (+5.25%): ≈ $345K modelledShorts at 0.0000048073–0.0000048300 (+5.75%): ≈ $331K modelledShorts at 0.0000048300–0.0000048528 (+6.25%): ≈ $394K modelledShorts at 0.0000048528–0.0000048756 (+6.75%): ≈ $371K modelledShorts at 0.0000048756–0.0000048984 (+7.25%): ≈ $284K modelledShorts at 0.0000048984–0.0000049212 (+7.75%): ≈ $319K modelledShorts at 0.0000049212–0.0000049440 (+8.25%): ≈ $290K modelledShorts at 0.0000049440–0.0000049667 (+8.75%): ≈ $386K modelledShorts at 0.0000049667–0.0000049895 (+9.25%): ≈ $396K modelledShorts at 0.0000049895–0.0000050123 (+9.75%): ≈ $400K modelledShorts at 0.0000050123–0.0000050351 (+10.25%): ≈ $586K modelledShorts at 0.0000050351–0.0000050579 (+10.75%): ≈ $885K modelledShorts at 0.0000050579–0.0000050807 (+11.25%): ≈ $863K modelledShorts at 0.0000050807–0.0000051034 (+11.75%): ≈ $892K modelledShorts at 0.0000051034–0.0000051262 (+12.25%): ≈ $805K modelledShorts at 0.0000051262–0.0000051490 (+12.75%): ≈ $585K modelledShorts at 0.0000051490–0.0000051718 (+13.25%): ≈ $370K modelledShorts at 0.0000051718–0.0000051946 (+13.75%): ≈ $265K modelledShorts at 0.0000051946–0.0000052173 (+14.25%): ≈ $235K modelledShorts at 0.0000052173–0.0000052401 (+14.75%): ≈ $210K modelledShorts at 0.0000052401–0.0000052629 (+15.25%): ≈ $138K modelledShorts at 0.0000052629–0.0000052857 (+15.75%): ≈ $91K modelledShorts at 0.0000052857–0.0000053085 (+16.25%): ≈ $108K modelledShorts at 0.0000053085–0.0000053313 (+16.75%): ≈ $248K modelledShorts at 0.0000053313–0.0000053540 (+17.25%): ≈ $234K modelledShorts at 0.0000053540–0.0000053768 (+17.75%): ≈ $379K modelledShorts at 0.0000053768–0.0000053996 (+18.25%): ≈ $300K modelledShorts at 0.0000053996–0.0000054224 (+18.75%): ≈ $233K modelledShorts at 0.0000054224–0.0000054452 (+19.25%): ≈ $213K modelledShorts at 0.0000054452–0.0000054680 (+19.75%): ≈ $242K modelledShorts at 0.0000054680–0.0000054907 (+20.25%): ≈ $209K modelledShorts at 0.0000054907–0.0000055135 (+20.75%): ≈ $227K modelledShorts at 0.0000055135–0.0000055363 (+21.25%): ≈ $386K modelledShorts at 0.0000055363–0.0000055591 (+21.75%): ≈ $378K modelledShorts at 0.0000055591–0.0000055819 (+22.25%): ≈ $289K modelledShorts at 0.0000055819–0.0000056047 (+22.75%): ≈ $219K modelledShorts at 0.0000056047–0.0000056274 (+23.25%): ≈ $178K modelledShorts at 0.0000056274–0.0000056502 (+23.75%): ≈ $112K modelledShorts at 0.0000056502–0.0000056730 (+24.25%): ≈ $55K modelledShorts at 0.0000056730–0.0000056958 (+24.75%): ≈ $30K modelled0.0000034175-25.00%0.0000038731-15.00%0.0000043288-5.00%0.0000047845+5.00%0.0000052401+15.00%0.0000056958+25.00%PEPE 0.0000045566Model est-1.0+hl-2026-09-27-25x · ≥25× · estimate$446K$8.11M$892K$16.21MLongs at 0.0000043516–0.0000043744 (-4.25%): ≈ $26K modelledLongs at 0.0000043744–0.0000043972 (-3.75%): ≈ $90K modelledLongs at 0.0000043972–0.0000044199 (-3.25%): ≈ $100K modelledLongs at 0.0000044199–0.0000044427 (-2.75%): ≈ $101K modelledLongs at 0.0000044427–0.0000044655 (-2.25%): ≈ $198K modelledLongs at 0.0000044655–0.0000044883 (-1.75%): ≈ $380K modelledLongs at 0.0000044883–0.0000045111 (-1.25%): ≈ $458K modelledLongs at 0.0000045111–0.0000045339 (-0.75%): ≈ $285K modelledShorts at 0.0000045566–0.0000045794 (+0.25%): ≈ $38K modelledShorts at 0.0000045794–0.0000046022 (+0.75%): ≈ $336K modelledShorts at 0.0000046022–0.0000046250 (+1.25%): ≈ $364K modelledShorts at 0.0000046250–0.0000046478 (+1.75%): ≈ $297K modelledShorts at 0.0000046478–0.0000046706 (+2.25%): ≈ $241K modelledShorts at 0.0000046706–0.0000046933 (+2.75%): ≈ $316K modelledShorts at 0.0000046933–0.0000047161 (+3.25%): ≈ $335K modelledShorts at 0.0000047161–0.0000047389 (+3.75%): ≈ $251K modelledShorts at 0.0000047389–0.0000047617 (+4.25%): ≈ $232K modelledShorts at 0.0000047617–0.0000047845 (+4.75%): ≈ $322K modelledShorts at 0.0000047845–0.0000048073 (+5.25%): ≈ $345K modelledShorts at 0.0000048073–0.0000048300 (+5.75%): ≈ $331K modelledShorts at 0.0000048300–0.0000048528 (+6.25%): ≈ $394K modelledShorts at 0.0000048528–0.0000048756 (+6.75%): ≈ $371K modelledShorts at 0.0000048756–0.0000048984 (+7.25%): ≈ $284K modelledShorts at 0.0000048984–0.0000049212 (+7.75%): ≈ $319K modelledShorts at 0.0000049212–0.0000049440 (+8.25%): ≈ $290K modelledShorts at 0.0000049440–0.0000049667 (+8.75%): ≈ $386K modelledShorts at 0.0000049667–0.0000049895 (+9.25%): ≈ $396K modelledShorts at 0.0000049895–0.0000050123 (+9.75%): ≈ $400K modelledShorts at 0.0000050123–0.0000050351 (+10.25%): ≈ $586K modelledShorts at 0.0000050351–0.0000050579 (+10.75%): ≈ $885K modelledShorts at 0.0000050579–0.0000050807 (+11.25%): ≈ $863K modelledShorts at 0.0000050807–0.0000051034 (+11.75%): ≈ $892K modelledShorts at 0.0000051034–0.0000051262 (+12.25%): ≈ $805K modelledShorts at 0.0000051262–0.0000051490 (+12.75%): ≈ $585K modelledShorts at 0.0000051490–0.0000051718 (+13.25%): ≈ $370K modelledShorts at 0.0000051718–0.0000051946 (+13.75%): ≈ $265K modelledShorts at 0.0000051946–0.0000052173 (+14.25%): ≈ $235K modelledShorts at 0.0000052173–0.0000052401 (+14.75%): ≈ $210K modelledShorts at 0.0000052401–0.0000052629 (+15.25%): ≈ $138K modelledShorts at 0.0000052629–0.0000052857 (+15.75%): ≈ $91K modelledShorts at 0.0000052857–0.0000053085 (+16.25%): ≈ $108K modelledShorts at 0.0000053085–0.0000053313 (+16.75%): ≈ $248K modelledShorts at 0.0000053313–0.0000053540 (+17.25%): ≈ $234K modelledShorts at 0.0000053540–0.0000053768 (+17.75%): ≈ $379K modelledShorts at 0.0000053768–0.0000053996 (+18.25%): ≈ $300K modelledShorts at 0.0000053996–0.0000054224 (+18.75%): ≈ $233K modelledShorts at 0.0000054224–0.0000054452 (+19.25%): ≈ $213K modelledShorts at 0.0000054452–0.0000054680 (+19.75%): ≈ $242K modelledShorts at 0.0000054680–0.0000054907 (+20.25%): ≈ $209K modelledShorts at 0.0000054907–0.0000055135 (+20.75%): ≈ $227K modelledShorts at 0.0000055135–0.0000055363 (+21.25%): ≈ $386K modelledShorts at 0.0000055363–0.0000055591 (+21.75%): ≈ $378K modelledShorts at 0.0000055591–0.0000055819 (+22.25%): ≈ $289K modelledShorts at 0.0000055819–0.0000056047 (+22.75%): ≈ $219K modelledShorts at 0.0000056047–0.0000056274 (+23.25%): ≈ $178K modelledShorts at 0.0000056274–0.0000056502 (+23.75%): ≈ $112K modelledShorts at 0.0000056502–0.0000056730 (+24.25%): ≈ $55K modelledShorts at 0.0000056730–0.0000056958 (+24.75%): ≈ $30K modelled0.0000034175-25.00%0.0000039871-12.50%0.0000051262+12.50%0.0000056958+25.00%PEPE 0.0000045566Model 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 24 hours. Each bar is 0.0000000228 wide. Outside the chart: ≈ $0 of longs and $16K of shorts.

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

Long levelswithin −10%
$1.64M
densest near 0.0000044997
Short levelswithin +10%
$6.20M
densest near 0.0000050920
Modelled liquidationslast 24 hours
$31.76M
exchanges reported $6.28M
Open interestall exchanges
$237.00M
$1.64M long · $16.23M short levels

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

An estimated liquidation map for Pepe (PEPE): 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 PEPE long cluster is at $0.0000045225 (-0.75%) and the nearest short cluster at $0.0000050237 (+10.25%); about $1.64M of longs and $2.79M of shorts are modelled within ±5% of the $0.0000045566 price. For real positions instead of a model, see the PEPE liquidation map on Hyperliquid. Looking for where liquidations may cluster over time? See the PEPE liquidation heatmap. Looking for liquidations that already happened? See PEPE liquidations.

The estimate for the last 7 days could not be built just now, so this shows the last 24 hours instead. The model places $1.64M of long and $16.23M of short liquidation levels for PEPE from positions opened in the last 24 hours (high leverage (≥25×)). Within 10% of the 0.0000045566 price: about $1.64M of longs below and $6.20M of shorts above. The densest modelled clusters are longs near 0.0000044997 (-1.25%) and shorts near 0.0000050920 (+11.75%).

Liquidation maps for other coins

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

Modelled liquidations near the price

High leverage (≥25×) · last 24 hours
Price moveLongs liquidated (price falls)Shorts liquidated (price rises)
±2%$1.12M$1.04M
±5%$1.64M$2.79M
±10%$1.64M$6.20M

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 PEPE 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.

PEPE liquidation map FAQ

Is this Pepe 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 PEPE 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. 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.