Estimated (model), not real positions: from the PENGU liquidation heatmap model (map · methodology). The PENGU liquidation map on Hyperliquid shows the real liquidation prices of tracked Hyperliquid wallets instead.
Long liquidation levels
below 0.01004 · price falls| Price band | Distance | ≈ Estimated | Cumulative to here |
|---|---|---|---|
| 0.008939–0.008989 | -10.75% | $161K | $1.41M |
| 0.008889–0.008939 largest | -11.25% | $162K | $1.58M |
| 0.008839–0.008889 | -11.75% | $152K | $1.73M |
| 0.008788–0.008839 | -12.25% | $147K | $1.88M |
| 0.008738–0.008788 | -12.75% | $147K | $2.02M |
| 0.008688–0.008738 | -13.25% | $143K | $2.17M |
| 0.008638–0.008688 | -13.75% | $141K | $2.31M |
| 0.008588–0.008638 | -14.25% | $134K | $2.44M |
| 0.008537–0.008588 | -14.75% | $127K | $2.57M |
| 0.008487–0.008537 | -15.25% | $123K | $2.69M |
Short liquidation levels
above 0.01004 · price rises| Price band | Distance | ≈ Estimated | Cumulative to here |
|---|---|---|---|
| 0.01009–0.01014 largest | +0.75% | $207K | $311K |
| 0.01014–0.01019 | +1.25% | $178K | $489K |
| 0.01035–0.01040 | +3.25% | $167K | $1.07M |
| 0.01040–0.01045 | +3.75% | $185K | $1.26M |
| 0.01045–0.01050 | +4.25% | $187K | $1.45M |
| 0.01050–0.01055 | +4.75% | $173K | $1.62M |
| 0.01055–0.01060 | +5.25% | $162K | $1.78M |
| 0.01065–0.01070 | +6.25% | $157K | $2.09M |
| 0.01075–0.01080 | +7.25% | $158K | $2.41M |
| 0.01080–0.01085 | +7.75% | $159K | $2.57M |
How to read the tables
Model est-1.0+hl-2026-09-27The 10 largest estimated clusters on each side, nearest the price first. A level is one price band of the PENGU liquidation map (0.00005022 wide, 0.5% of the price). ≈ Estimated is the modelled USD of positions liquidated in the band, and Cumulative to here is everything the model places between the price and the band's far edge: what a move that far would liquidate in total. Where a move liquidates the most: PENGU liquidation max pain. The model and its accuracy against real liquidations: methodology. JSON for embeds: /api/liquidation-levels/PENGU. Estimates may be materially wrong; not financial advice.