PENGU Liquidation Heatmap: Clusters Over Time

PENGU Liquidation Heatmap: Where Liquidations May Cluster (Estimated)

An estimated liquidation heatmap for Pudgy Penguins (PENGU): where liquidations may cluster over time, modelled from open interest changes on Binance, Bybit, Hyperliquid, Bitget, Gate, HTX, MEXC, KuCoin, Aster, Lighter. Right now the nearest modelled PENGU long cluster is at $0.009109 (-8.25%) and the nearest short cluster at $0.01010 (+1.75%); about $391K of longs and $392K of shorts are modelled within ±5% of the $0.009928 price. Brighter cells mean more modelled liquidations at that price at that time, from positions opened in the chosen window; levels disappear once the price trades through them. For real positions instead of a model, see the PENGU liquidation map on Hyperliquid. Looking for liquidation levels by leverage? See the PENGU liquidation map. Looking for liquidations that already happened? See PENGU liquidations.

The model places $1.36M of long and $392K of short liquidation levels for PENGU from positions opened in the last 24 hours (high leverage (≥25×)). Within 10% of the 0.009928 price: about $1.12M of longs below and $392K of shorts above. The densest modelled clusters are longs near 0.008960 (-9.75%) and shorts near 0.01010 (+1.75%).

Model est-1.0+hl-2026-09-27-25xHigh leverage (≥25×) · last 24 hoursOpen interest $74.79M9 exchanges · see coverageModelled venues' OI $68.40MAs of 13:41 UTC

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

Long levelswithin −10%

$1.12M

densest near 0.008960

Short levelswithin +10%

$392K

densest near 0.01010

Modelled liquidationslast 24 hours

$5.88M

exchanges reported $418K

Open interestall exchanges

$68.40M

$1.36M long · $392K short levels

PENGU liquidation heatmap · 24 hours

Model est-1.0+hl-2026-09-27-25x · High leverage (≥25×) · positions opened in the last 24 hours · estimate, not exchange data.

Relative intensity (≈ modelled USD) Colour cap top 1% saturate Candles: price across exchanges · dashed: last price

See the same levels as bars at the current price on the PENGU liquidation map.

Densest long liquidation levels

below 0.009928

Price	Distance	≈ Modelled
0.008935–0.008985	-9.75%	$125K
0.009034–0.009084	-8.75%	$119K
0.008885–0.008935	-10.25%	$104K
0.008985–0.009034	-9.25%	$101K
0.009084–0.009133	-8.25%	$82K

Densest short liquidation levels

above 0.009928

Price	Distance	≈ Modelled
0.01008–0.01013	+1.75%	$123K
0.01013–0.01018	+2.25%	$90K
0.01018–0.01023	+2.75%	$60K
0.01023–0.01028	+3.25%	$35K
0.01028–0.01032	+3.75%	$33K

Modelled liquidations near the price

High leverage (≥25×) · last 24 hours

Price move	Longs liquidated (price falls)	Shorts liquidated (price rises)
±2%	$179K	$133K
±5%	$391K	$392K
±10%	$1.12M	$392K

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:

Liquidation distance from entry	Share 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.

PENGU liquidation heatmap FAQ

Is this Pudgy Penguins liquidation heatmap 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 PENGU 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.