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PONS Liquidation Map: Liquidation Levels by Leverage (Estimated)

An estimated liquidation map for PONS: 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 PONS long cluster is at $0.5256 (-1.75%) and the nearest short cluster at $0.5416 (+1.25%); about $560K of longs and $670K of shorts are modelled within ±5% of the $0.5349 price. For real positions instead of a model, see the PONS liquidation map on Hyperliquid. Looking for where liquidations may cluster over time? See the PONS liquidation heatmap. Looking for liquidations that already happened? See PONS liquidations.

The model places $594K of long and $910K of short liquidation levels for PONS from positions opened in the last 30 days (high leverage (≥25×)). Within 10% of the 0.5349 price: about $594K of longs below and $795K of shorts above. The densest modelled clusters are longs near 0.5229 (-2.25%) and shorts near 0.5470 (+2.25%).

Model est-1.0+hl-2026-09-27-25xHigh leverage (≥25×) · last 30 daysOpen interest $85.91M9 exchanges · see coverageAs of 13:25 UTC

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

Long levelswithin −10%
$594K
densest near 0.5229
Short levelswithin +10%
$795K
densest near 0.5470
Modelled liquidationslast 30 days
$3.02M
exchanges reported $700K
Open interestall exchanges
$84.60M
$594K long · $910K short levels

PONS liquidation map · ±25% · 30 days

$40K$228K$80K$455K$119K$683K$159K$910KLongs at 0.4975–0.5002 (-6.75%): ≈ $4,350 modelledLongs at 0.5002–0.5028 (-6.25%): ≈ $6,385 modelledLongs at 0.5028–0.5055 (-5.75%): ≈ $8,804 modelledLongs at 0.5055–0.5082 (-5.25%): ≈ $19K modelledLongs at 0.5082–0.5109 (-4.75%): ≈ $45K modelledLongs at 0.5109–0.5135 (-4.25%): ≈ $72K modelledLongs at 0.5135–0.5162 (-3.75%): ≈ $46K modelledLongs at 0.5162–0.5189 (-3.25%): ≈ $71K modelledLongs at 0.5189–0.5216 (-2.75%): ≈ $98K modelledLongs at 0.5216–0.5242 (-2.25%): ≈ $113K modelledLongs at 0.5242–0.5269 (-1.75%): ≈ $92K modelledLongs at 0.5269–0.5296 (-1.25%): ≈ $20K modelledShorts at 0.5349–0.5376 (+0.25%): ≈ $42K modelledShorts at 0.5376–0.5403 (+0.75%): ≈ $47K modelledShorts at 0.5403–0.5430 (+1.25%): ≈ $59K modelledShorts at 0.5430–0.5456 (+1.75%): ≈ $89K modelledShorts at 0.5456–0.5483 (+2.25%): ≈ $159K modelledShorts at 0.5483–0.5510 (+2.75%): ≈ $98K modelledShorts at 0.5510–0.5537 (+3.25%): ≈ $67K modelledShorts at 0.5537–0.5563 (+3.75%): ≈ $54K modelledShorts at 0.5563–0.5590 (+4.25%): ≈ $45K modelledShorts at 0.5590–0.5617 (+4.75%): ≈ $13K modelledShorts at 0.5617–0.5644 (+5.25%): ≈ $4,013 modelledShorts at 0.5644–0.5670 (+5.75%): ≈ $1,754 modelledShorts at 0.5670–0.5697 (+6.25%): ≈ $164 modelledShorts at 0.5697–0.5724 (+6.75%): ≈ $9,114 modelledShorts at 0.5724–0.5751 (+7.25%): ≈ $16K modelledShorts at 0.5751–0.5777 (+7.75%): ≈ $17K modelledShorts at 0.5777–0.5804 (+8.25%): ≈ $8,143 modelledShorts at 0.5804–0.5831 (+8.75%): ≈ $25K modelledShorts at 0.5831–0.5858 (+9.25%): ≈ $26K modelledShorts at 0.5858–0.5884 (+9.75%): ≈ $17K modelledShorts at 0.5884–0.5911 (+10.25%): ≈ $15K modelledShorts at 0.5911–0.5938 (+10.75%): ≈ $12K modelledShorts at 0.5938–0.5965 (+11.25%): ≈ $8,294 modelledShorts at 0.5965–0.5991 (+11.75%): ≈ $24K modelledShorts at 0.5991–0.6018 (+12.25%): ≈ $18K modelledShorts at 0.6018–0.6045 (+12.75%): ≈ $11K modelledShorts at 0.6045–0.6072 (+13.25%): ≈ $8,635 modelledShorts at 0.6072–0.6098 (+13.75%): ≈ $8,500 modelledShorts at 0.6098–0.6125 (+14.25%): ≈ $7,300 modelledShorts at 0.6125–0.6152 (+14.75%): ≈ $751 modelledShorts at 0.6152–0.6179 (+15.25%): ≈ $183 modelled0.4012-25.00%0.4547-15.00%0.5082-5.00%0.5617+5.00%0.6152+15.00%0.6687+25.00%PONS 0.5349Model est-1.0+hl-2026-09-27-25x · ≥25× · estimate$80K$455K$159K$910KLongs at 0.4975–0.5002 (-6.75%): ≈ $4,350 modelledLongs at 0.5002–0.5028 (-6.25%): ≈ $6,385 modelledLongs at 0.5028–0.5055 (-5.75%): ≈ $8,804 modelledLongs at 0.5055–0.5082 (-5.25%): ≈ $19K modelledLongs at 0.5082–0.5109 (-4.75%): ≈ $45K modelledLongs at 0.5109–0.5135 (-4.25%): ≈ $72K modelledLongs at 0.5135–0.5162 (-3.75%): ≈ $46K modelledLongs at 0.5162–0.5189 (-3.25%): ≈ $71K modelledLongs at 0.5189–0.5216 (-2.75%): ≈ $98K modelledLongs at 0.5216–0.5242 (-2.25%): ≈ $113K modelledLongs at 0.5242–0.5269 (-1.75%): ≈ $92K modelledLongs at 0.5269–0.5296 (-1.25%): ≈ $20K modelledShorts at 0.5349–0.5376 (+0.25%): ≈ $42K modelledShorts at 0.5376–0.5403 (+0.75%): ≈ $47K modelledShorts at 0.5403–0.5430 (+1.25%): ≈ $59K modelledShorts at 0.5430–0.5456 (+1.75%): ≈ $89K modelledShorts at 0.5456–0.5483 (+2.25%): ≈ $159K modelledShorts at 0.5483–0.5510 (+2.75%): ≈ $98K modelledShorts at 0.5510–0.5537 (+3.25%): ≈ $67K modelledShorts at 0.5537–0.5563 (+3.75%): ≈ $54K modelledShorts at 0.5563–0.5590 (+4.25%): ≈ $45K modelledShorts at 0.5590–0.5617 (+4.75%): ≈ $13K modelledShorts at 0.5617–0.5644 (+5.25%): ≈ $4,013 modelledShorts at 0.5644–0.5670 (+5.75%): ≈ $1,754 modelledShorts at 0.5670–0.5697 (+6.25%): ≈ $164 modelledShorts at 0.5697–0.5724 (+6.75%): ≈ $9,114 modelledShorts at 0.5724–0.5751 (+7.25%): ≈ $16K modelledShorts at 0.5751–0.5777 (+7.75%): ≈ $17K modelledShorts at 0.5777–0.5804 (+8.25%): ≈ $8,143 modelledShorts at 0.5804–0.5831 (+8.75%): ≈ $25K modelledShorts at 0.5831–0.5858 (+9.25%): ≈ $26K modelledShorts at 0.5858–0.5884 (+9.75%): ≈ $17K modelledShorts at 0.5884–0.5911 (+10.25%): ≈ $15K modelledShorts at 0.5911–0.5938 (+10.75%): ≈ $12K modelledShorts at 0.5938–0.5965 (+11.25%): ≈ $8,294 modelledShorts at 0.5965–0.5991 (+11.75%): ≈ $24K modelledShorts at 0.5991–0.6018 (+12.25%): ≈ $18K modelledShorts at 0.6018–0.6045 (+12.75%): ≈ $11K modelledShorts at 0.6045–0.6072 (+13.25%): ≈ $8,635 modelledShorts at 0.6072–0.6098 (+13.75%): ≈ $8,500 modelledShorts at 0.6098–0.6125 (+14.25%): ≈ $7,300 modelledShorts at 0.6125–0.6152 (+14.75%): ≈ $751 modelledShorts at 0.6152–0.6179 (+15.25%): ≈ $183 modelled0.4012-25.00%0.4681-12.50%0.6018+12.50%0.6687+25.00%PONS 0.5349Model 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 30 days. Each bar is 0.002675 wide. Outside the chart: ≈ $0 of longs and $0 of shorts.

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

Densest long liquidation levels

below 0.5349
PriceDistance≈ Modelled
0.5216–0.5242-2.25%$113K
0.5189–0.5216-2.75%$98K
0.5242–0.5269-1.75%$92K
0.5109–0.5135-4.25%$72K
0.5162–0.5189-3.25%$71K

Densest short liquidation levels

above 0.5349
PriceDistance≈ Modelled
0.5456–0.5483+2.25%$159K
0.5483–0.5510+2.75%$98K
0.5430–0.5456+1.75%$89K
0.5510–0.5537+3.25%$67K
0.5403–0.5430+1.25%$59K

Modelled liquidations near the price

High leverage (≥25×) · last 30 days
Price moveLongs liquidated (price falls)Shorts liquidated (price rises)
±2%$104K$246K
±5%$560K$670K
±10%$594K$795K

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 entryShare 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.

PONS liquidation map FAQ

Is this PONS 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 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 PONS 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.