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XRP Liquidation Map: Liquidation Levels by Leverage (Estimated)

Estimated nearest among the largest modelled clusters: long $1.039 (-0.75%); short $1.086 (+3.75%). 30 days · High leverage (≥25×). Snapshot 2026-11-12 03:16 UTC.Model est-1.0+hl-2026-09-27-25xHigh leverage (≥25×) · last 30 daysOpen interest $962.61M9 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 03:16 UTC

XRP liquidation map · ±25% · 30 days

Model estimate
$585K$9.12M$1.17M$18.24M$1.75M$27.36M$2.34M$36.47MLongs at 0.9998–1.005 (-4.25%): ≈ $17K modelledLongs at 1.005–1.010 (-3.75%): ≈ $168K modelledLongs at 1.010–1.015 (-3.25%): ≈ $477K modelledLongs at 1.015–1.021 (-2.75%): ≈ $916K modelledLongs at 1.021–1.026 (-2.25%): ≈ $1.25M modelledLongs at 1.026–1.031 (-1.75%): ≈ $1.58M modelledLongs at 1.031–1.036 (-1.25%): ≈ $2.34M modelledLongs at 1.036–1.042 (-0.75%): ≈ $1.51M modelledLongs at 1.042–1.047 (-0.25%): ≈ $248K modelledShorts at 1.052–1.057 (+0.75%): ≈ $168K modelledShorts at 1.057–1.063 (+1.25%): ≈ $767K modelledShorts at 1.063–1.068 (+1.75%): ≈ $1.11M modelledShorts at 1.068–1.073 (+2.25%): ≈ $1.19M modelledShorts at 1.073–1.078 (+2.75%): ≈ $878K modelledShorts at 1.078–1.084 (+3.25%): ≈ $948K modelledShorts at 1.084–1.089 (+3.75%): ≈ $1.84M modelledShorts at 1.089–1.094 (+4.25%): ≈ $1.75M modelledShorts at 1.094–1.099 (+4.75%): ≈ $1.61M modelledShorts at 1.099–1.104 (+5.25%): ≈ $1.08M modelledShorts at 1.104–1.110 (+5.75%): ≈ $1.06M modelledShorts at 1.110–1.115 (+6.25%): ≈ $1.18M modelledShorts at 1.115–1.120 (+6.75%): ≈ $1.24M modelledShorts at 1.120–1.125 (+7.25%): ≈ $1.29M modelledShorts at 1.125–1.131 (+7.75%): ≈ $1.15M modelledShorts at 1.131–1.136 (+8.25%): ≈ $939K modelledShorts at 1.136–1.141 (+8.75%): ≈ $675K modelledShorts at 1.141–1.146 (+9.25%): ≈ $244K modelledShorts at 1.146–1.152 (+9.75%): ≈ $158K modelledShorts at 1.152–1.157 (+10.25%): ≈ $133K modelledShorts at 1.157–1.162 (+10.75%): ≈ $125K modelledShorts at 1.162–1.167 (+11.25%): ≈ $320K modelledShorts at 1.167–1.172 (+11.75%): ≈ $1.03M modelledShorts at 1.172–1.178 (+12.25%): ≈ $1.48M modelledShorts at 1.178–1.183 (+12.75%): ≈ $1.42M modelledShorts at 1.183–1.188 (+13.25%): ≈ $1.33M modelledShorts at 1.188–1.193 (+13.75%): ≈ $1.11M modelledShorts at 1.193–1.199 (+14.25%): ≈ $1.02M modelledShorts at 1.199–1.204 (+14.75%): ≈ $1.08M modelledShorts at 1.204–1.209 (+15.25%): ≈ $1.24M modelledShorts at 1.209–1.214 (+15.75%): ≈ $976K modelledShorts at 1.214–1.220 (+16.25%): ≈ $905K modelledShorts at 1.220–1.225 (+16.75%): ≈ $650K modelledShorts at 1.225–1.230 (+17.25%): ≈ $645K modelledShorts at 1.230–1.235 (+17.75%): ≈ $508K modelledShorts at 1.235–1.241 (+18.25%): ≈ $383K modelledShorts at 1.241–1.246 (+18.75%): ≈ $285K modelledShorts at 1.246–1.251 (+19.25%): ≈ $399K modelledShorts at 1.251–1.256 (+19.75%): ≈ $388K modelledShorts at 1.256–1.261 (+20.25%): ≈ $403K modelledShorts at 1.261–1.267 (+20.75%): ≈ $343K modelledShorts at 1.267–1.272 (+21.25%): ≈ $287K modelledShorts at 1.272–1.277 (+21.75%): ≈ $237K modelledShorts at 1.277–1.282 (+22.25%): ≈ $180K modelledShorts at 1.282–1.288 (+22.75%): ≈ $109K modelledShorts at 1.288–1.293 (+23.25%): ≈ $68K modelledShorts at 1.293–1.298 (+23.75%): ≈ $57K modelledShorts at 1.298–1.303 (+24.25%): ≈ $51K modelledShorts at 1.303–1.309 (+24.75%): ≈ $33K modelled0.7851-25.00%0.8898-15.00%0.9945-5.00%1.099+5.00%1.204+15.00%1.309+25.00%XRP 1.047Model est-1.0+hl-2026-09-27-25x · ≥25× · estimate$1.17M$18.24M$2.34M$36.47MLongs at 0.9998–1.005 (-4.25%): ≈ $17K modelledLongs at 1.005–1.010 (-3.75%): ≈ $168K modelledLongs at 1.010–1.015 (-3.25%): ≈ $477K modelledLongs at 1.015–1.021 (-2.75%): ≈ $916K modelledLongs at 1.021–1.026 (-2.25%): ≈ $1.25M modelledLongs at 1.026–1.031 (-1.75%): ≈ $1.58M modelledLongs at 1.031–1.036 (-1.25%): ≈ $2.34M modelledLongs at 1.036–1.042 (-0.75%): ≈ $1.51M modelledLongs at 1.042–1.047 (-0.25%): ≈ $248K modelledShorts at 1.052–1.057 (+0.75%): ≈ $168K modelledShorts at 1.057–1.063 (+1.25%): ≈ $767K modelledShorts at 1.063–1.068 (+1.75%): ≈ $1.11M modelledShorts at 1.068–1.073 (+2.25%): ≈ $1.19M modelledShorts at 1.073–1.078 (+2.75%): ≈ $878K modelledShorts at 1.078–1.084 (+3.25%): ≈ $948K modelledShorts at 1.084–1.089 (+3.75%): ≈ $1.84M modelledShorts at 1.089–1.094 (+4.25%): ≈ $1.75M modelledShorts at 1.094–1.099 (+4.75%): ≈ $1.61M modelledShorts at 1.099–1.104 (+5.25%): ≈ $1.08M modelledShorts at 1.104–1.110 (+5.75%): ≈ $1.06M modelledShorts at 1.110–1.115 (+6.25%): ≈ $1.18M modelledShorts at 1.115–1.120 (+6.75%): ≈ $1.24M modelledShorts at 1.120–1.125 (+7.25%): ≈ $1.29M modelledShorts at 1.125–1.131 (+7.75%): ≈ $1.15M modelledShorts at 1.131–1.136 (+8.25%): ≈ $939K modelledShorts at 1.136–1.141 (+8.75%): ≈ $675K modelledShorts at 1.141–1.146 (+9.25%): ≈ $244K modelledShorts at 1.146–1.152 (+9.75%): ≈ $158K modelledShorts at 1.152–1.157 (+10.25%): ≈ $133K modelledShorts at 1.157–1.162 (+10.75%): ≈ $125K modelledShorts at 1.162–1.167 (+11.25%): ≈ $320K modelledShorts at 1.167–1.172 (+11.75%): ≈ $1.03M modelledShorts at 1.172–1.178 (+12.25%): ≈ $1.48M modelledShorts at 1.178–1.183 (+12.75%): ≈ $1.42M modelledShorts at 1.183–1.188 (+13.25%): ≈ $1.33M modelledShorts at 1.188–1.193 (+13.75%): ≈ $1.11M modelledShorts at 1.193–1.199 (+14.25%): ≈ $1.02M modelledShorts at 1.199–1.204 (+14.75%): ≈ $1.08M modelledShorts at 1.204–1.209 (+15.25%): ≈ $1.24M modelledShorts at 1.209–1.214 (+15.75%): ≈ $976K modelledShorts at 1.214–1.220 (+16.25%): ≈ $905K modelledShorts at 1.220–1.225 (+16.75%): ≈ $650K modelledShorts at 1.225–1.230 (+17.25%): ≈ $645K modelledShorts at 1.230–1.235 (+17.75%): ≈ $508K modelledShorts at 1.235–1.241 (+18.25%): ≈ $383K modelledShorts at 1.241–1.246 (+18.75%): ≈ $285K modelledShorts at 1.246–1.251 (+19.25%): ≈ $399K modelledShorts at 1.251–1.256 (+19.75%): ≈ $388K modelledShorts at 1.256–1.261 (+20.25%): ≈ $403K modelledShorts at 1.261–1.267 (+20.75%): ≈ $343K modelledShorts at 1.267–1.272 (+21.25%): ≈ $287K modelledShorts at 1.272–1.277 (+21.75%): ≈ $237K modelledShorts at 1.277–1.282 (+22.25%): ≈ $180K modelledShorts at 1.282–1.288 (+22.75%): ≈ $109K modelledShorts at 1.288–1.293 (+23.25%): ≈ $68K modelledShorts at 1.293–1.298 (+23.75%): ≈ $57K modelledShorts at 1.298–1.303 (+24.25%): ≈ $51K modelledShorts at 1.303–1.309 (+24.75%): ≈ $33K modelled0.7851-25.00%0.9160-12.50%1.178+12.50%1.309+25.00%XRP 1.047Model 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 0.005234 wide. Outside the chart: ≈ $0 of longs and $3.77M of shorts.

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

Long levelswithin −10%
$8.51M
densest near 1.034
Short levelswithin +10%
$19.30M
densest near 1.086
Modelled liquidationslast 30 days
$751.31M
exchanges reported $168.98M
Open interestall exchanges
$962.61M
$8.51M long · $40.24M short levels

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

An estimated liquidation map for XRP: 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 XRP long cluster is at $1.039 (-0.75%) and the nearest short cluster at $1.086 (+3.75%); about $8.51M of longs and $10.21M of shorts are modelled within ±5% of the $1.047 price. For real positions instead of a model, see the XRP liquidation map on Hyperliquid. Looking for where liquidations may cluster over time? See the XRP liquidation heatmap. Looking for liquidations that already happened? See XRP liquidations.

The model places $8.51M of long and $40.24M of short liquidation levels for XRP from positions opened in the last 30 days (high leverage (≥25×)). Within 10% of the 1.047 price: about $8.51M of longs below and $19.30M of shorts above. The densest modelled clusters are longs near 1.034 (-1.25%) and shorts near 1.086 (+3.75%).

Liquidation maps for other coins

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

Modelled liquidations near the price

High leverage (≥25×) · last 30 days
Price moveLongs liquidated (price falls)Shorts liquidated (price rises)
±2%$5.98M$1.78M
±5%$8.51M$10.21M
±10%$8.51M$19.30M

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 XRP 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.

XRP liquidation map FAQ

Is this XRP 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 XRP 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.