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BTW Liquidation Map (Estimated)

An estimated liquidation map for BTW: 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.

The model places $431K of long and $75K of short liquidation levels for BTW from positions opened in the last 12 hours (high leverage (≥25×)). Within 10% of the 1.212 price: about $431K of longs below and $75K of shorts above. The densest modelled clusters are longs near 1.167 (-3.75%) and shorts near 1.234 (+1.75%).

Model est-1.0+hl-2026-09-27-25xHigh leverage (≥25×) · last 12 hoursOpen interest $200.82MAs of 23:17 UTC

This is a model estimate for all tracked exchanges, not real positions.

Long levelswithin −10%
$431K
densest near 1.167
Short levelswithin +10%
$75K
densest near 1.234
Modelled liquidationslast 12 hours
$476K
exchanges reported $288K
Open interestall exchanges
$200.82M
$431K long · $75K short levels

BTW liquidation map · ±25% · 12 hours

$12K$108K$24K$216K$36K$323K$48K$431KLongs at 1.091–1.097 (-9.75%): ≈ $3,996 modelledLongs at 1.097–1.103 (-9.25%): ≈ $6,552 modelledLongs at 1.103–1.109 (-8.75%): ≈ $6,517 modelledLongs at 1.109–1.115 (-8.25%): ≈ $6,527 modelledLongs at 1.115–1.121 (-7.75%): ≈ $19K modelledLongs at 1.121–1.128 (-7.25%): ≈ $19K modelledLongs at 1.128–1.134 (-6.75%): ≈ $21K modelledLongs at 1.134–1.140 (-6.25%): ≈ $14K modelledLongs at 1.140–1.146 (-5.75%): ≈ $13K modelledLongs at 1.146–1.152 (-5.25%): ≈ $17K modelledLongs at 1.152–1.158 (-4.75%): ≈ $23K modelledLongs at 1.158–1.164 (-4.25%): ≈ $43K modelledLongs at 1.164–1.170 (-3.75%): ≈ $48K modelledLongs at 1.170–1.176 (-3.25%): ≈ $46K modelledLongs at 1.176–1.182 (-2.75%): ≈ $28K modelledLongs at 1.182–1.188 (-2.25%): ≈ $30K modelledLongs at 1.188–1.194 (-1.75%): ≈ $33K modelledLongs at 1.194–1.200 (-1.25%): ≈ $29K modelledLongs at 1.200–1.206 (-0.75%): ≈ $23K modelledLongs at 1.206–1.212 (-0.25%): ≈ $310 modelledShorts at 1.218–1.225 (+0.75%): ≈ $570 modelledShorts at 1.225–1.231 (+1.25%): ≈ $897 modelledShorts at 1.231–1.237 (+1.75%): ≈ $20K modelledShorts at 1.237–1.243 (+2.25%): ≈ $20K modelledShorts at 1.243–1.249 (+2.75%): ≈ $14K modelledShorts at 1.249–1.255 (+3.25%): ≈ $10K modelledShorts at 1.255–1.261 (+3.75%): ≈ $6,267 modelledShorts at 1.261–1.267 (+4.25%): ≈ $2,105 modelledShorts at 1.267–1.273 (+4.75%): ≈ $697 modelledShorts at 1.273–1.279 (+5.25%): ≈ $117 modelled0.9093-25.00%1.031-15.00%1.152-5.00%1.273+5.00%1.394+15.00%1.516+25.00%BTW 1.212Model est-1.0+hl-2026-09-27-25x · ≥25× · estimate$24K$216K$48K$431KLongs at 1.091–1.097 (-9.75%): ≈ $3,996 modelledLongs at 1.097–1.103 (-9.25%): ≈ $6,552 modelledLongs at 1.103–1.109 (-8.75%): ≈ $6,517 modelledLongs at 1.109–1.115 (-8.25%): ≈ $6,527 modelledLongs at 1.115–1.121 (-7.75%): ≈ $19K modelledLongs at 1.121–1.128 (-7.25%): ≈ $19K modelledLongs at 1.128–1.134 (-6.75%): ≈ $21K modelledLongs at 1.134–1.140 (-6.25%): ≈ $14K modelledLongs at 1.140–1.146 (-5.75%): ≈ $13K modelledLongs at 1.146–1.152 (-5.25%): ≈ $17K modelledLongs at 1.152–1.158 (-4.75%): ≈ $23K modelledLongs at 1.158–1.164 (-4.25%): ≈ $43K modelledLongs at 1.164–1.170 (-3.75%): ≈ $48K modelledLongs at 1.170–1.176 (-3.25%): ≈ $46K modelledLongs at 1.176–1.182 (-2.75%): ≈ $28K modelledLongs at 1.182–1.188 (-2.25%): ≈ $30K modelledLongs at 1.188–1.194 (-1.75%): ≈ $33K modelledLongs at 1.194–1.200 (-1.25%): ≈ $29K modelledLongs at 1.200–1.206 (-0.75%): ≈ $23K modelledLongs at 1.206–1.212 (-0.25%): ≈ $310 modelledShorts at 1.218–1.225 (+0.75%): ≈ $570 modelledShorts at 1.225–1.231 (+1.25%): ≈ $897 modelledShorts at 1.231–1.237 (+1.75%): ≈ $20K modelledShorts at 1.237–1.243 (+2.25%): ≈ $20K modelledShorts at 1.243–1.249 (+2.75%): ≈ $14K modelledShorts at 1.249–1.255 (+3.25%): ≈ $10K modelledShorts at 1.255–1.261 (+3.75%): ≈ $6,267 modelledShorts at 1.261–1.267 (+4.25%): ≈ $2,105 modelledShorts at 1.267–1.273 (+4.75%): ≈ $697 modelledShorts at 1.273–1.279 (+5.25%): ≈ $117 modelled0.9093-25.00%1.061-12.50%1.364+12.50%1.516+25.00%BTW 1.212Model 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 12 hours. Each bar is 0.006062 wide. Outside the chart: ≈ $0 of longs and $0 of shorts.

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

Densest long liquidation levels

below 1.212
PriceDistance≈ Modelled
1.164–1.170-3.75%$48K
1.170–1.176-3.25%$46K
1.158–1.164-4.25%$43K
1.188–1.194-1.75%$33K
1.182–1.188-2.25%$30K

Densest short liquidation levels

above 1.212
PriceDistance≈ Modelled
1.231–1.237+1.75%$20K
1.237–1.243+2.25%$20K
1.243–1.249+2.75%$14K
1.249–1.255+3.25%$10K
1.255–1.261+3.75%$6,267

Modelled liquidations near the price

High leverage (≥25×) · last 12 hours
Price moveLongs liquidated (price falls)Shorts liquidated (price rises)
±2%$89K$19K
±5%$302K$75K
±10%$431K$75K

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.

BTW liquidation map FAQ

Is this BTW 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 Hyperliquid liquidation map adds up the real positions of tracked wallets on Hyperliquid only (there is none for BTW, which has no Hyperliquid perp). 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.