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Bitcoin (BTC) Liquidation Map: Liquidation Levels by Leverage (Estimated)

Estimated nearest among the largest modelled clusters: long $72,190.6 (-0.25%); short $75,085.4 (+3.75%). 30 days · High leverage (≥25×). Snapshot 2026-11-12 13:10 UTC.Model est-1.0+hl-2026-09-27-25xHigh leverage (≥25×) · last 30 daysOpen interest $21.24B9 exchanges (MEXC excluded) · see coverageMEXC's open interest is a model input but is left out of the headline open interest total (its reported OI does not match its trades)As of 13:10 UTC

BTC liquidation map · ±25% · 30 days

Model estimate
$22.13M$214.60M$44.26M$429.21M$66.39M$643.81M$88.51M$858.41MLongs at 69,476.7–69,838.5 (-3.75%): ≈ $277K modelledLongs at 69,838.5–70,200.4 (-3.25%): ≈ $4.68M modelledLongs at 70,200.4–70,562.2 (-2.75%): ≈ $9.33M modelledLongs at 70,562.2–70,924.1 (-2.25%): ≈ $16.91M modelledLongs at 70,924.1–71,285.9 (-1.75%): ≈ $27.41M modelledLongs at 71,285.9–71,647.8 (-1.25%): ≈ $45.20M modelledLongs at 71,647.8–72,009.7 (-0.75%): ≈ $67.06M modelledLongs at 72,009.7–72,371.5 (-0.25%): ≈ $71.00M modelledShorts at 72,733.4–73,095.2 (+0.75%): ≈ $314K modelledShorts at 73,095.2–73,457.1 (+1.25%): ≈ $10.58M modelledShorts at 73,457.1–73,818.9 (+1.75%): ≈ $25.40M modelledShorts at 73,818.9–74,180.8 (+2.25%): ≈ $35.05M modelledShorts at 74,180.8–74,542.7 (+2.75%): ≈ $41.33M modelledShorts at 74,542.7–74,904.5 (+3.25%): ≈ $36.47M modelledShorts at 74,904.5–75,266.4 (+3.75%): ≈ $88.51M modelledShorts at 75,266.4–75,628.2 (+4.25%): ≈ $74.94M modelledShorts at 75,628.2–75,990.1 (+4.75%): ≈ $86.76M modelledShorts at 75,990.1–76,351.9 (+5.25%): ≈ $71.58M modelledShorts at 76,351.9–76,713.8 (+5.75%): ≈ $76.67M modelledShorts at 76,713.8–77,075.7 (+6.25%): ≈ $70.93M modelledShorts at 77,075.7–77,437.5 (+6.75%): ≈ $55.17M modelledShorts at 77,437.5–77,799.4 (+7.25%): ≈ $33.38M modelledShorts at 77,799.4–78,161.2 (+7.75%): ≈ $22.34M modelledShorts at 78,161.2–78,523.1 (+8.25%): ≈ $14.49M modelledShorts at 78,523.1–78,885 (+8.75%): ≈ $11.35M modelledShorts at 78,885–79,246.8 (+9.25%): ≈ $5.47M modelledShorts at 79,246.8–79,608.7 (+9.75%): ≈ $2.84M modelledShorts at 79,608.7–79,970.5 (+10.25%): ≈ $1.64M modelledShorts at 79,970.5–80,332.4 (+10.75%): ≈ $1.34M modelledShorts at 80,332.4–80,694.2 (+11.25%): ≈ $1.83M modelledShorts at 80,694.2–81,056.1 (+11.75%): ≈ $5.85M modelledShorts at 81,056.1–81,418 (+12.25%): ≈ $12.65M modelledShorts at 81,418–81,779.8 (+12.75%): ≈ $13.24M modelledShorts at 81,779.8–82,141.7 (+13.25%): ≈ $9.77M modelledShorts at 82,141.7–82,503.5 (+13.75%): ≈ $12.61M modelledShorts at 82,503.5–82,865.4 (+14.25%): ≈ $10.87M modelledShorts at 82,865.4–83,227.2 (+14.75%): ≈ $8.86M modelledShorts at 83,227.2–83,589.1 (+15.25%): ≈ $6.06M modelledShorts at 83,589.1–83,951 (+15.75%): ≈ $2.72M modelledShorts at 83,951–84,312.8 (+16.25%): ≈ $1.58M modelledShorts at 84,312.8–84,674.7 (+16.75%): ≈ $1.02M modelledShorts at 84,674.7–85,036.5 (+17.25%): ≈ $480K modelledShorts at 85,036.5–85,398.4 (+17.75%): ≈ $1.18M modelledShorts at 85,398.4–85,760.2 (+18.25%): ≈ $1.06M modelledShorts at 85,760.2–86,122.1 (+18.75%): ≈ $889K modelledShorts at 86,122.1–86,484 (+19.25%): ≈ $426K modelledShorts at 86,484–86,845.8 (+19.75%): ≈ $259K modelledShorts at 86,845.8–87,207.7 (+20.25%): ≈ $190K modelledShorts at 87,207.7–87,569.5 (+20.75%): ≈ $182K modelledShorts at 87,569.5–87,931.4 (+21.25%): ≈ $122K modelledShorts at 87,931.4–88,293.3 (+21.75%): ≈ $22K modelled54,278.6-25.00%61,515.8-15.00%68,752.9-5.00%75,990.1+5.00%83,227.2+15.00%90,464.4+25.00%BTC 72,371.5Model est-1.0+hl-2026-09-27-25x · ≥25× · estimate$44.26M$429.21M$88.51M$858.41MLongs at 69,476.7–69,838.5 (-3.75%): ≈ $277K modelledLongs at 69,838.5–70,200.4 (-3.25%): ≈ $4.68M modelledLongs at 70,200.4–70,562.2 (-2.75%): ≈ $9.33M modelledLongs at 70,562.2–70,924.1 (-2.25%): ≈ $16.91M modelledLongs at 70,924.1–71,285.9 (-1.75%): ≈ $27.41M modelledLongs at 71,285.9–71,647.8 (-1.25%): ≈ $45.20M modelledLongs at 71,647.8–72,009.7 (-0.75%): ≈ $67.06M modelledLongs at 72,009.7–72,371.5 (-0.25%): ≈ $71.00M modelledShorts at 72,733.4–73,095.2 (+0.75%): ≈ $314K modelledShorts at 73,095.2–73,457.1 (+1.25%): ≈ $10.58M modelledShorts at 73,457.1–73,818.9 (+1.75%): ≈ $25.40M modelledShorts at 73,818.9–74,180.8 (+2.25%): ≈ $35.05M modelledShorts at 74,180.8–74,542.7 (+2.75%): ≈ $41.33M modelledShorts at 74,542.7–74,904.5 (+3.25%): ≈ $36.47M modelledShorts at 74,904.5–75,266.4 (+3.75%): ≈ $88.51M modelledShorts at 75,266.4–75,628.2 (+4.25%): ≈ $74.94M modelledShorts at 75,628.2–75,990.1 (+4.75%): ≈ $86.76M modelledShorts at 75,990.1–76,351.9 (+5.25%): ≈ $71.58M modelledShorts at 76,351.9–76,713.8 (+5.75%): ≈ $76.67M modelledShorts at 76,713.8–77,075.7 (+6.25%): ≈ $70.93M modelledShorts at 77,075.7–77,437.5 (+6.75%): ≈ $55.17M modelledShorts at 77,437.5–77,799.4 (+7.25%): ≈ $33.38M modelledShorts at 77,799.4–78,161.2 (+7.75%): ≈ $22.34M modelledShorts at 78,161.2–78,523.1 (+8.25%): ≈ $14.49M modelledShorts at 78,523.1–78,885 (+8.75%): ≈ $11.35M modelledShorts at 78,885–79,246.8 (+9.25%): ≈ $5.47M modelledShorts at 79,246.8–79,608.7 (+9.75%): ≈ $2.84M modelledShorts at 79,608.7–79,970.5 (+10.25%): ≈ $1.64M modelledShorts at 79,970.5–80,332.4 (+10.75%): ≈ $1.34M modelledShorts at 80,332.4–80,694.2 (+11.25%): ≈ $1.83M modelledShorts at 80,694.2–81,056.1 (+11.75%): ≈ $5.85M modelledShorts at 81,056.1–81,418 (+12.25%): ≈ $12.65M modelledShorts at 81,418–81,779.8 (+12.75%): ≈ $13.24M modelledShorts at 81,779.8–82,141.7 (+13.25%): ≈ $9.77M modelledShorts at 82,141.7–82,503.5 (+13.75%): ≈ $12.61M modelledShorts at 82,503.5–82,865.4 (+14.25%): ≈ $10.87M modelledShorts at 82,865.4–83,227.2 (+14.75%): ≈ $8.86M modelledShorts at 83,227.2–83,589.1 (+15.25%): ≈ $6.06M modelledShorts at 83,589.1–83,951 (+15.75%): ≈ $2.72M modelledShorts at 83,951–84,312.8 (+16.25%): ≈ $1.58M modelledShorts at 84,312.8–84,674.7 (+16.75%): ≈ $1.02M modelledShorts at 84,674.7–85,036.5 (+17.25%): ≈ $480K modelledShorts at 85,036.5–85,398.4 (+17.75%): ≈ $1.18M modelledShorts at 85,398.4–85,760.2 (+18.25%): ≈ $1.06M modelledShorts at 85,760.2–86,122.1 (+18.75%): ≈ $889K modelledShorts at 86,122.1–86,484 (+19.25%): ≈ $426K modelledShorts at 86,484–86,845.8 (+19.75%): ≈ $259K modelledShorts at 86,845.8–87,207.7 (+20.25%): ≈ $190K modelledShorts at 87,207.7–87,569.5 (+20.75%): ≈ $182K modelledShorts at 87,569.5–87,931.4 (+21.25%): ≈ $122K modelledShorts at 87,931.4–88,293.3 (+21.75%): ≈ $22K modelled54,278.6-25.00%63,325.1-12.50%81,418+12.50%90,464.4+25.00%BTC 72,371.5Model 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 361.86 wide. Outside the chart: ≈ $0 of longs and $0 of shorts.

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

Long levelswithin −10%
$241.87M
densest near 72,190.6
Short levelswithin +10%
$762.89M
densest near 75,085.4
Modelled liquidationslast 30 days
$8.24B
exchanges reported $2.41B
Open interestall exchanges
$21.24B
$241.87M long · $858.41M short levels

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

An estimated liquidation map for Bitcoin (BTC): 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 BTC long cluster is at $72,190.6 (-0.25%) and the nearest short cluster at $75,085.4 (+3.75%); about $241.87M of longs and $404.94M of shorts are modelled within ±5% of the $72,371.5 price. For real positions instead of a model, see the BTC liquidation map on Hyperliquid. Looking for where liquidations may cluster over time? See the BTC liquidation heatmap. Looking for liquidations that already happened? See BTC liquidations.

The model places $241.87M of long and $858.41M of short liquidation levels for BTC from positions opened in the last 30 days (high leverage (≥25×)). Within 10% of the 72,371.5 price: about $241.87M of longs below and $762.89M of shorts above. The densest modelled clusters are longs near 72,190.6 (-0.25%) and shorts near 75,085.4 (+3.75%).

Liquidation maps for other coins

The densest estimated long and short clusters, as tables with their distance and size: BTC liquidation levels.

Modelled liquidations near the price

High leverage (≥25×) · last 30 days
Price moveLongs liquidated (price falls)Shorts liquidated (price rises)
±2%$213.31M$32.51M
±5%$241.87M$404.94M
±10%$241.87M$762.89M

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 (the distribution table is on the BTC liquidation heatmap).

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.

BTC liquidation map FAQ

Is this Bitcoin 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 taken from a notional-weighted sample of Hyperliquid positions, where the distance was measured from the mark price; the model reuses it as an assumption about the distance from entry when it allocates new notional. It places 74.0% of modeled new notional within 50% of entry; the rest is assumed too far away or not liquidatable. 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, and the methodology page describes the sample.

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 BTC 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. The two are not independent checks of each other: their scope differs (one venue's tracked wallets versus a multi-venue model), the tracked wallets are only a sample of Hyperliquid positions, the two are refreshed at different times, and this model's leverage distribution is itself measured on Hyperliquid positions. A level that shows on both is not shown to be more accurate, and neither predicts that the price will get there.

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.