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 0.009881 · price falls| Price band | Distance | ≈ Estimated | Cumulative to here |
|---|---|---|---|
| 0.008942–0.008992 | -9.25% | $304K | $1.96M |
| 0.008893–0.008942 largest | -9.75% | $347K | $2.31M |
| 0.008844–0.008893 | -10.25% | $338K | $2.65M |
| 0.008794–0.008844 | -10.75% | $326K | $2.97M |
| 0.008745–0.008794 | -11.25% | $331K | $3.30M |
| 0.008695–0.008745 | -11.75% | $335K | $3.64M |
| 0.008646–0.008695 | -12.25% | $319K | $3.96M |
| 0.008597–0.008646 | -12.75% | $311K | $4.27M |
| 0.008547–0.008597 | -13.25% | $307K | $4.57M |
| 0.008498–0.008547 | -13.75% | $298K | $4.87M |
Short liquidation levels
above 0.009881 · price rises| Price band | Distance | ≈ Estimated | Cumulative to here |
|---|---|---|---|
| 0.01008–0.01013 largest | +2.25% | $396K | $455K |
| 0.01013–0.01018 | +2.75% | $364K | $820K |
| 0.01018–0.01023 | +3.25% | $343K | $1.16M |
| 0.01023–0.01028 | +3.75% | $306K | $1.47M |
| 0.01028–0.01033 | +4.25% | $292K | $1.76M |
| 0.01033–0.01038 | +4.75% | $282K | $2.04M |
| 0.01038–0.01042 | +5.25% | $271K | $2.31M |
| 0.01042–0.01047 | +5.75% | $265K | $2.58M |
| 0.01047–0.01052 | +6.25% | $267K | $2.85M |
| 0.01052–0.01057 | +6.75% | $263K | $3.11M |
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 (0.00004941 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.