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Falcon Finance (FF) Liquidation Map: Liquidation Levels by Leverage (Estimated)

Estimated nearest among the largest modelled clusters: long $0.09818 (-0.75%); short $0.1021 (+3.25%). 30 days · High leverage (≥25×). Snapshot 2026-10-25 11:40 UTC.Model est-1.0+hl-2026-09-27-25xHigh leverage (≥25×) · last 30 daysOpen interest $58.56M6 exchanges (MEXC excluded; Aster no OI data) · 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 11:40 UTC

FF liquidation map · ±25% · 30 days

Model estimate
$5,411$44K$11K$87K$16K$131K$22K$175KLongs at 0.09496–0.09546 (-3.75%): ≈ $2,942 modelledLongs at 0.09546–0.09595 (-3.25%): ≈ $5,443 modelledLongs at 0.09595–0.09645 (-2.75%): ≈ $6,723 modelledLongs at 0.09645–0.09694 (-2.25%): ≈ $7,651 modelledLongs at 0.09694–0.09744 (-1.75%): ≈ $14K modelledLongs at 0.09744–0.09793 (-1.25%): ≈ $22K modelledLongs at 0.09793–0.09843 (-0.75%): ≈ $17K modelledLongs at 0.09843–0.09892 (-0.25%): ≈ $1,590 modelledShorts at 0.09942–0.09991 (+0.75%): ≈ $2,309 modelledShorts at 0.09991–0.1004 (+1.25%): ≈ $4,191 modelledShorts at 0.1004–0.1009 (+1.75%): ≈ $6,987 modelledShorts at 0.1009–0.1014 (+2.25%): ≈ $8,745 modelledShorts at 0.1014–0.1019 (+2.75%): ≈ $7,127 modelledShorts at 0.1019–0.1024 (+3.25%): ≈ $11K modelledShorts at 0.1024–0.1029 (+3.75%): ≈ $10K modelledShorts at 0.1029–0.1034 (+4.25%): ≈ $7,616 modelledShorts at 0.1034–0.1039 (+4.75%): ≈ $5,297 modelledShorts at 0.1039–0.1044 (+5.25%): ≈ $3,296 modelledShorts at 0.1044–0.1049 (+5.75%): ≈ $2,261 modelledShorts at 0.1049–0.1054 (+6.25%): ≈ $1,957 modelledShorts at 0.1054–0.1058 (+6.75%): ≈ $3,616 modelledShorts at 0.1058–0.1063 (+7.25%): ≈ $2,916 modelledShorts at 0.1063–0.1068 (+7.75%): ≈ $3,074 modelledShorts at 0.1068–0.1073 (+8.25%): ≈ $3,757 modelledShorts at 0.1073–0.1078 (+8.75%): ≈ $3,647 modelledShorts at 0.1078–0.1083 (+9.25%): ≈ $1,767 modelledShorts at 0.1083–0.1088 (+9.75%): ≈ $9,482 modelledShorts at 0.1088–0.1093 (+10.25%): ≈ $12K modelledShorts at 0.1093–0.1098 (+10.75%): ≈ $12K modelledShorts at 0.1098–0.1103 (+11.25%): ≈ $8,897 modelledShorts at 0.1103–0.1108 (+11.75%): ≈ $7,936 modelledShorts at 0.1108–0.1113 (+12.25%): ≈ $7,103 modelledShorts at 0.1113–0.1118 (+12.75%): ≈ $5,838 modelledShorts at 0.1118–0.1123 (+13.25%): ≈ $3,006 modelledShorts at 0.1123–0.1128 (+13.75%): ≈ $1,477 modelledShorts at 0.1128–0.1133 (+14.25%): ≈ $1,002 modelledShorts at 0.1133–0.1138 (+14.75%): ≈ $598 modelledShorts at 0.1138–0.1143 (+15.25%): ≈ $166 modelledShorts at 0.1143–0.1147 (+15.75%): ≈ $89 modelledShorts at 0.1147–0.1152 (+16.25%): ≈ $194 modelledShorts at 0.1152–0.1157 (+16.75%): ≈ $1,254 modelledShorts at 0.1157–0.1162 (+17.25%): ≈ $1,033 modelledShorts at 0.1162–0.1167 (+17.75%): ≈ $905 modelledShorts at 0.1167–0.1172 (+18.25%): ≈ $564 modelledShorts at 0.1172–0.1177 (+18.75%): ≈ $1,357 modelledShorts at 0.1177–0.1182 (+19.25%): ≈ $1,802 modelledShorts at 0.1182–0.1187 (+19.75%): ≈ $2,006 modelledShorts at 0.1187–0.1192 (+20.25%): ≈ $1,435 modelledShorts at 0.1192–0.1197 (+20.75%): ≈ $970 modelledShorts at 0.1197–0.1202 (+21.25%): ≈ $1,272 modelledShorts at 0.1202–0.1207 (+21.75%): ≈ $799 modelledShorts at 0.1207–0.1212 (+22.25%): ≈ $435 modelledShorts at 0.1212–0.1217 (+22.75%): ≈ $372 modelledShorts at 0.1217–0.1222 (+23.25%): ≈ $429 modelledShorts at 0.1222–0.1227 (+23.75%): ≈ $304 modelledShorts at 0.1227–0.1232 (+24.25%): ≈ $163 modelledShorts at 0.1232–0.1237 (+24.75%): ≈ $162 modelled0.07419-25.00%0.08408-15.00%0.09398-5.00%0.1039+5.00%0.1138+15.00%0.1237+25.00%FF 0.09892Model est-1.0+hl-2026-09-27-25x · ≥25× · estimate$11K$87K$22K$175KLongs at 0.09496–0.09546 (-3.75%): ≈ $2,942 modelledLongs at 0.09546–0.09595 (-3.25%): ≈ $5,443 modelledLongs at 0.09595–0.09645 (-2.75%): ≈ $6,723 modelledLongs at 0.09645–0.09694 (-2.25%): ≈ $7,651 modelledLongs at 0.09694–0.09744 (-1.75%): ≈ $14K modelledLongs at 0.09744–0.09793 (-1.25%): ≈ $22K modelledLongs at 0.09793–0.09843 (-0.75%): ≈ $17K modelledLongs at 0.09843–0.09892 (-0.25%): ≈ $1,590 modelledShorts at 0.09942–0.09991 (+0.75%): ≈ $2,309 modelledShorts at 0.09991–0.1004 (+1.25%): ≈ $4,191 modelledShorts at 0.1004–0.1009 (+1.75%): ≈ $6,987 modelledShorts at 0.1009–0.1014 (+2.25%): ≈ $8,745 modelledShorts at 0.1014–0.1019 (+2.75%): ≈ $7,127 modelledShorts at 0.1019–0.1024 (+3.25%): ≈ $11K modelledShorts at 0.1024–0.1029 (+3.75%): ≈ $10K modelledShorts at 0.1029–0.1034 (+4.25%): ≈ $7,616 modelledShorts at 0.1034–0.1039 (+4.75%): ≈ $5,297 modelledShorts at 0.1039–0.1044 (+5.25%): ≈ $3,296 modelledShorts at 0.1044–0.1049 (+5.75%): ≈ $2,261 modelledShorts at 0.1049–0.1054 (+6.25%): ≈ $1,957 modelledShorts at 0.1054–0.1058 (+6.75%): ≈ $3,616 modelledShorts at 0.1058–0.1063 (+7.25%): ≈ $2,916 modelledShorts at 0.1063–0.1068 (+7.75%): ≈ $3,074 modelledShorts at 0.1068–0.1073 (+8.25%): ≈ $3,757 modelledShorts at 0.1073–0.1078 (+8.75%): ≈ $3,647 modelledShorts at 0.1078–0.1083 (+9.25%): ≈ $1,767 modelledShorts at 0.1083–0.1088 (+9.75%): ≈ $9,482 modelledShorts at 0.1088–0.1093 (+10.25%): ≈ $12K modelledShorts at 0.1093–0.1098 (+10.75%): ≈ $12K modelledShorts at 0.1098–0.1103 (+11.25%): ≈ $8,897 modelledShorts at 0.1103–0.1108 (+11.75%): ≈ $7,936 modelledShorts at 0.1108–0.1113 (+12.25%): ≈ $7,103 modelledShorts at 0.1113–0.1118 (+12.75%): ≈ $5,838 modelledShorts at 0.1118–0.1123 (+13.25%): ≈ $3,006 modelledShorts at 0.1123–0.1128 (+13.75%): ≈ $1,477 modelledShorts at 0.1128–0.1133 (+14.25%): ≈ $1,002 modelledShorts at 0.1133–0.1138 (+14.75%): ≈ $598 modelledShorts at 0.1138–0.1143 (+15.25%): ≈ $166 modelledShorts at 0.1143–0.1147 (+15.75%): ≈ $89 modelledShorts at 0.1147–0.1152 (+16.25%): ≈ $194 modelledShorts at 0.1152–0.1157 (+16.75%): ≈ $1,254 modelledShorts at 0.1157–0.1162 (+17.25%): ≈ $1,033 modelledShorts at 0.1162–0.1167 (+17.75%): ≈ $905 modelledShorts at 0.1167–0.1172 (+18.25%): ≈ $564 modelledShorts at 0.1172–0.1177 (+18.75%): ≈ $1,357 modelledShorts at 0.1177–0.1182 (+19.25%): ≈ $1,802 modelledShorts at 0.1182–0.1187 (+19.75%): ≈ $2,006 modelledShorts at 0.1187–0.1192 (+20.25%): ≈ $1,435 modelledShorts at 0.1192–0.1197 (+20.75%): ≈ $970 modelledShorts at 0.1197–0.1202 (+21.25%): ≈ $1,272 modelledShorts at 0.1202–0.1207 (+21.75%): ≈ $799 modelledShorts at 0.1207–0.1212 (+22.25%): ≈ $435 modelledShorts at 0.1212–0.1217 (+22.75%): ≈ $372 modelledShorts at 0.1217–0.1222 (+23.25%): ≈ $429 modelledShorts at 0.1222–0.1227 (+23.75%): ≈ $304 modelledShorts at 0.1227–0.1232 (+24.25%): ≈ $163 modelledShorts at 0.1232–0.1237 (+24.75%): ≈ $162 modelled0.07419-25.00%0.08656-12.50%0.1113+12.50%0.1237+25.00%FF 0.09892Model 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 0.0004946 wide. Outside the chart: ≈ $0 of longs and $3,373 of shorts.

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

Long levelswithin −10%
$77K
densest near 0.09769
Short levelswithin +10%
$97K
densest near 0.1091
Modelled liquidationslast 30 days
$4.47M
exchanges reported $304K
Open interestall exchanges
$58.56M
$77K long · $178K short levels

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

An estimated liquidation map for Falcon Finance (FF): 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 FF long cluster is at $0.09818 (-0.75%) and the nearest short cluster at $0.1021 (+3.25%); about $77K of longs and $64K of shorts are modelled within ±5% of the $0.09892 price. Looking for where liquidations may cluster over time? See the FF liquidation heatmap. Looking for liquidations that already happened? See FF liquidations.

The model places $77K of long and $178K of short liquidation levels for FF from positions opened in the last 30 days (high leverage (≥25×)). Within 10% of the 0.09892 price: about $77K of longs below and $97K of shorts above. The densest modelled clusters are longs near 0.09769 (-1.25%) and shorts near 0.1091 (+10.25%).

Liquidation maps for other coins

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

Modelled liquidations near the price

High leverage (≥25×) · last 30 days
Price moveLongs liquidated (price falls)Shorts liquidated (price rises)
±2%$55K$13K
±5%$77K$64K
±10%$77K$97K

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 FF 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.

FF liquidation map FAQ

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