Volume Monitor
Live crypto data · 8 exchanges

SOL Liquidation Map (Estimated)

An estimated liquidation map for Solana: 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. For real positions instead of a model, see the SOL liquidation map on Hyperliquid.

The model places $12.26M of long and $37.85M of short liquidation levels for SOL from positions opened in the last 3 days (high leverage (≥25×)). Within 10% of the 118.27 price: about $12.26M of longs below and $37.85M of shorts above. The densest modelled clusters are longs near 117.38 (-0.75%) and shorts near 123.89 (+4.75%).

Model est-1.0+hl-2026-09-27-25xHigh leverage (≥25×) · last 3 daysOpen interest $3.36BAs of 07:26 UTC

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

Long levelswithin −10%
$12.26M
densest near 117.38
Short levelswithin +10%
$37.85M
densest near 123.89
Modelled liquidationslast 3 days
$39.39M
exchanges reported $8.11M
Open interestall exchanges
$3.36B
$12.26M long · $37.85M short levels

SOL liquidation map · ±25% · 3 days

$1.45M$9.46M$2.91M$18.93M$4.36M$28.39M$5.82M$37.85MLongs at 112.95–113.54 (-4.25%): ≈ $343 modelledLongs at 113.54–114.13 (-3.75%): ≈ $76K modelledLongs at 114.13–114.72 (-3.25%): ≈ $300K modelledLongs at 114.72–115.31 (-2.75%): ≈ $516K modelledLongs at 115.31–115.90 (-2.25%): ≈ $947K modelledLongs at 115.90–116.49 (-1.75%): ≈ $1.44M modelledLongs at 116.49–117.09 (-1.25%): ≈ $2.55M modelledLongs at 117.09–117.68 (-0.75%): ≈ $3.64M modelledLongs at 117.68–118.27 (-0.25%): ≈ $2.79M modelledShorts at 118.86–119.45 (+0.75%): ≈ $217K modelledShorts at 119.45–120.04 (+1.25%): ≈ $957K modelledShorts at 120.04–120.63 (+1.75%): ≈ $1.46M modelledShorts at 120.63–121.22 (+2.25%): ≈ $2.98M modelledShorts at 121.22–121.82 (+2.75%): ≈ $3.12M modelledShorts at 121.82–122.41 (+3.25%): ≈ $3.53M modelledShorts at 122.41–123.00 (+3.75%): ≈ $3.51M modelledShorts at 123.00–123.59 (+4.25%): ≈ $4.39M modelledShorts at 123.59–124.18 (+4.75%): ≈ $5.82M modelledShorts at 124.18–124.77 (+5.25%): ≈ $4.07M modelledShorts at 124.77–125.36 (+5.75%): ≈ $3.09M modelledShorts at 125.36–125.96 (+6.25%): ≈ $2.02M modelledShorts at 125.96–126.55 (+6.75%): ≈ $1.42M modelledShorts at 126.55–127.14 (+7.25%): ≈ $718K modelledShorts at 127.14–127.73 (+7.75%): ≈ $422K modelledShorts at 127.73–128.32 (+8.25%): ≈ $123K modelled88.701-25.00%100.53-15.00%112.35-5.00%124.18+5.00%136.01+15.00%147.83+25.00%SOL 118.27Model est-1.0+hl-2026-09-27-25x · ≥25× · estimate$2.91M$18.93M$5.82M$37.85MLongs at 112.95–113.54 (-4.25%): ≈ $343 modelledLongs at 113.54–114.13 (-3.75%): ≈ $76K modelledLongs at 114.13–114.72 (-3.25%): ≈ $300K modelledLongs at 114.72–115.31 (-2.75%): ≈ $516K modelledLongs at 115.31–115.90 (-2.25%): ≈ $947K modelledLongs at 115.90–116.49 (-1.75%): ≈ $1.44M modelledLongs at 116.49–117.09 (-1.25%): ≈ $2.55M modelledLongs at 117.09–117.68 (-0.75%): ≈ $3.64M modelledLongs at 117.68–118.27 (-0.25%): ≈ $2.79M modelledShorts at 118.86–119.45 (+0.75%): ≈ $217K modelledShorts at 119.45–120.04 (+1.25%): ≈ $957K modelledShorts at 120.04–120.63 (+1.75%): ≈ $1.46M modelledShorts at 120.63–121.22 (+2.25%): ≈ $2.98M modelledShorts at 121.22–121.82 (+2.75%): ≈ $3.12M modelledShorts at 121.82–122.41 (+3.25%): ≈ $3.53M modelledShorts at 122.41–123.00 (+3.75%): ≈ $3.51M modelledShorts at 123.00–123.59 (+4.25%): ≈ $4.39M modelledShorts at 123.59–124.18 (+4.75%): ≈ $5.82M modelledShorts at 124.18–124.77 (+5.25%): ≈ $4.07M modelledShorts at 124.77–125.36 (+5.75%): ≈ $3.09M modelledShorts at 125.36–125.96 (+6.25%): ≈ $2.02M modelledShorts at 125.96–126.55 (+6.75%): ≈ $1.42M modelledShorts at 126.55–127.14 (+7.25%): ≈ $718K modelledShorts at 127.14–127.73 (+7.75%): ≈ $422K modelledShorts at 127.73–128.32 (+8.25%): ≈ $123K modelled88.701-25.00%103.48-12.50%133.05+12.50%147.83+25.00%SOL 118.27Model 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 3 days. Each bar is 0.5913 wide. Outside the chart: ≈ $0 of longs and $0 of shorts.

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

Densest long liquidation levels

below 118.27
PriceDistance≈ Modelled
117.09–117.68-0.75%$3.64M
117.68–118.27-0.25%$2.79M
116.49–117.09-1.25%$2.55M
115.90–116.49-1.75%$1.44M
115.31–115.90-2.25%$947K

Densest short liquidation levels

above 118.27
PriceDistance≈ Modelled
123.59–124.18+4.75%$5.82M
123.00–123.59+4.25%$4.39M
124.18–124.77+5.25%$4.07M
121.82–122.41+3.25%$3.53M
122.41–123.00+3.75%$3.51M

Modelled liquidations near the price

High leverage (≥25×) · last 3 days
Price moveLongs liquidated (price falls)Shorts liquidated (price rises)
±2%$10.30M$2.86M
±5%$12.26M$25.03M
±10%$12.26M$37.85M

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. 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.

SOL liquidation map FAQ

Is this Solana 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 SOL 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.