Estimated (model), not real positions: from the DOGE liquidation heatmap model (map · methodology). The DOGE liquidation map on Hyperliquid shows the real liquidation prices of tracked Hyperliquid wallets instead.
Long liquidation levels
below 0.09326 · price falls| Price band | Distance | ≈ Estimated | Cumulative to here |
|---|---|---|---|
| 0.09140–0.09187 largest | -1.75% | $1.86M | $4.70M |
| 0.09093–0.09140 | -2.25% | $1.61M | $6.31M |
| 0.08860–0.08907 | -4.75% | $1.68M | $13.64M |
| 0.08813–0.08860 | -5.25% | $1.77M | $15.41M |
| 0.08767–0.08813 | -5.75% | $1.85M | $17.26M |
| 0.08720–0.08767 | -6.25% | $1.80M | $19.06M |
| 0.08674–0.08720 | -6.75% | $1.72M | $20.78M |
| 0.08627–0.08674 | -7.25% | $1.65M | $22.44M |
| 0.08580–0.08627 | -7.75% | $1.61M | $24.05M |
| 0.08534–0.08580 | -8.25% | $1.61M | $25.66M |
Short liquidation levels
above 0.09326 · price rises| Price band | Distance | ≈ Estimated | Cumulative to here |
|---|---|---|---|
| 0.09466–0.09513 | +1.75% | $1.84M | $2.08M |
| 0.09513–0.09560 largest | +2.25% | $2.24M | $4.32M |
| 0.09560–0.09606 | +2.75% | $1.75M | $6.08M |
| 0.09793–0.09839 | +5.25% | $1.77M | $11.62M |
| 0.09839–0.09886 | +5.75% | $1.77M | $13.38M |
| 0.09886–0.09933 | +6.25% | $1.86M | $15.24M |
| 0.09933–0.09979 | +6.75% | $1.74M | $16.98M |
| 0.1003–0.1007 | +7.75% | $1.72M | $20.41M |
| 0.1007–0.1012 | +8.25% | $1.72M | $22.12M |
| 0.1017–0.1021 | +9.25% | $1.74M | $25.58M |
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 DOGE liquidation map (0.0004663 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: DOGE liquidation max pain. The model and its accuracy against real liquidations: methodology. JSON for embeds: /api/liquidation-levels/DOGE. Estimates may be materially wrong; not financial advice.