Swolecharts
Live crypto data · 10 exchanges
Log inSign up

PAX Gold (PAXG) Liquidation Map: Liquidation Levels by Leverage (Estimated)

Estimated nearest among the largest modelled clusters: long $3,843.3 (-1.75%); short $4,156.3 (+6.25%). 30 days · All leverage. Snapshot 2026-11-13 02:40 UTC.Model est-1.0+hl-2026-09-27All leverage · last 30 daysOpen interest $146.45M6 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 02:40 UTC

PAXG liquidation map · ±25% · 30 days

Model estimate
$176K$4.56M$353K$9.13M$529K$13.69M$705K$18.25MLongs at 2,953.4–2,973 (-24.25%): ≈ $51K modelledLongs at 2,973–2,992.5 (-23.75%): ≈ $98K modelledLongs at 2,992.5–3,012.1 (-23.25%): ≈ $98K modelledLongs at 3,012.1–3,031.6 (-22.75%): ≈ $98K modelledLongs at 3,031.6–3,051.2 (-22.25%): ≈ $99K modelledLongs at 3,051.2–3,070.7 (-21.75%): ≈ $98K modelledLongs at 3,070.7–3,090.3 (-21.25%): ≈ $98K modelledLongs at 3,090.3–3,109.9 (-20.75%): ≈ $108K modelledLongs at 3,109.9–3,129.4 (-20.25%): ≈ $126K modelledLongs at 3,129.4–3,149 (-19.75%): ≈ $142K modelledLongs at 3,149–3,168.5 (-19.25%): ≈ $156K modelledLongs at 3,168.5–3,188.1 (-18.75%): ≈ $166K modelledLongs at 3,188.1–3,207.7 (-18.25%): ≈ $183K modelledLongs at 3,207.7–3,227.2 (-17.75%): ≈ $204K modelledLongs at 3,227.2–3,246.8 (-17.25%): ≈ $230K modelledLongs at 3,246.8–3,266.3 (-16.75%): ≈ $257K modelledLongs at 3,266.3–3,285.9 (-16.25%): ≈ $272K modelledLongs at 3,285.9–3,305.5 (-15.75%): ≈ $297K modelledLongs at 3,305.5–3,325 (-15.25%): ≈ $309K modelledLongs at 3,325–3,344.6 (-14.75%): ≈ $310K modelledLongs at 3,344.6–3,364.1 (-14.25%): ≈ $310K modelledLongs at 3,364.1–3,383.7 (-13.75%): ≈ $309K modelledLongs at 3,383.7–3,403.3 (-13.25%): ≈ $310K modelledLongs at 3,403.3–3,422.8 (-12.75%): ≈ $311K modelledLongs at 3,422.8–3,442.4 (-12.25%): ≈ $312K modelledLongs at 3,442.4–3,461.9 (-11.75%): ≈ $312K modelledLongs at 3,461.9–3,481.5 (-11.25%): ≈ $314K modelledLongs at 3,481.5–3,501 (-10.75%): ≈ $336K modelledLongs at 3,501–3,520.6 (-10.25%): ≈ $364K modelledLongs at 3,520.6–3,540.2 (-9.75%): ≈ $390K modelledLongs at 3,540.2–3,559.7 (-9.25%): ≈ $412K modelledLongs at 3,559.7–3,579.3 (-8.75%): ≈ $425K modelledLongs at 3,579.3–3,598.8 (-8.25%): ≈ $449K modelledLongs at 3,598.8–3,618.4 (-7.75%): ≈ $479K modelledLongs at 3,618.4–3,638 (-7.25%): ≈ $513K modelledLongs at 3,638–3,657.5 (-6.75%): ≈ $561K modelledLongs at 3,657.5–3,677.1 (-6.25%): ≈ $595K modelledLongs at 3,677.1–3,696.6 (-5.75%): ≈ $599K modelledLongs at 3,696.6–3,716.2 (-5.25%): ≈ $631K modelledLongs at 3,716.2–3,735.8 (-4.75%): ≈ $633K modelledLongs at 3,735.8–3,755.3 (-4.25%): ≈ $621K modelledLongs at 3,755.3–3,774.9 (-3.75%): ≈ $609K modelledLongs at 3,774.9–3,794.4 (-3.25%): ≈ $602K modelledLongs at 3,794.4–3,814 (-2.75%): ≈ $642K modelledLongs at 3,814–3,833.5 (-2.25%): ≈ $668K modelledLongs at 3,833.5–3,853.1 (-1.75%): ≈ $625K modelledLongs at 3,853.1–3,872.7 (-1.25%): ≈ $68K modelledLongs at 3,872.7–3,892.2 (-0.75%): ≈ $29K modelledShorts at 3,911.8–3,931.3 (+0.25%): ≈ $115K modelledShorts at 3,931.3–3,950.9 (+0.75%): ≈ $182K modelledShorts at 3,950.9–3,970.5 (+1.25%): ≈ $140K modelledShorts at 3,970.5–3,990 (+1.75%): ≈ $138K modelledShorts at 3,990–4,009.6 (+2.25%): ≈ $171K modelledShorts at 4,009.6–4,029.1 (+2.75%): ≈ $227K modelledShorts at 4,029.1–4,048.7 (+3.25%): ≈ $248K modelledShorts at 4,048.7–4,068.3 (+3.75%): ≈ $271K modelledShorts at 4,068.3–4,087.8 (+4.25%): ≈ $332K modelledShorts at 4,087.8–4,107.4 (+4.75%): ≈ $311K modelledShorts at 4,107.4–4,126.9 (+5.25%): ≈ $265K modelledShorts at 4,126.9–4,146.5 (+5.75%): ≈ $383K modelledShorts at 4,146.5–4,166 (+6.25%): ≈ $705K modelledShorts at 4,166–4,185.6 (+6.75%): ≈ $680K modelledShorts at 4,185.6–4,205.2 (+7.25%): ≈ $609K modelledShorts at 4,205.2–4,224.7 (+7.75%): ≈ $560K modelledShorts at 4,224.7–4,244.3 (+8.25%): ≈ $566K modelledShorts at 4,244.3–4,263.8 (+8.75%): ≈ $590K modelledShorts at 4,263.8–4,283.4 (+9.25%): ≈ $592K modelledShorts at 4,283.4–4,303 (+9.75%): ≈ $585K modelledShorts at 4,303–4,322.5 (+10.25%): ≈ $572K modelledShorts at 4,322.5–4,342.1 (+10.75%): ≈ $588K modelledShorts at 4,342.1–4,361.6 (+11.25%): ≈ $582K modelledShorts at 4,361.6–4,381.2 (+11.75%): ≈ $566K modelledShorts at 4,381.2–4,400.8 (+12.25%): ≈ $549K modelledShorts at 4,400.8–4,420.3 (+12.75%): ≈ $530K modelledShorts at 4,420.3–4,439.9 (+13.25%): ≈ $496K modelledShorts at 4,439.9–4,459.4 (+13.75%): ≈ $457K modelledShorts at 4,459.4–4,479 (+14.25%): ≈ $424K modelledShorts at 4,479–4,498.5 (+14.75%): ≈ $402K modelledShorts at 4,498.5–4,518.1 (+15.25%): ≈ $382K modelledShorts at 4,518.1–4,537.7 (+15.75%): ≈ $346K modelledShorts at 4,537.7–4,557.2 (+16.25%): ≈ $318K modelledShorts at 4,557.2–4,576.8 (+16.75%): ≈ $314K modelledShorts at 4,576.8–4,596.3 (+17.25%): ≈ $313K modelledShorts at 4,596.3–4,615.9 (+17.75%): ≈ $311K modelledShorts at 4,615.9–4,635.5 (+18.25%): ≈ $311K modelledShorts at 4,635.5–4,655 (+18.75%): ≈ $308K modelledShorts at 4,655–4,674.6 (+19.25%): ≈ $295K modelledShorts at 4,674.6–4,694.1 (+19.75%): ≈ $284K modelledShorts at 4,694.1–4,713.7 (+20.25%): ≈ $272K modelledShorts at 4,713.7–4,733.3 (+20.75%): ≈ $262K modelledShorts at 4,733.3–4,752.8 (+21.25%): ≈ $254K modelledShorts at 4,752.8–4,772.4 (+21.75%): ≈ $249K modelledShorts at 4,772.4–4,791.9 (+22.25%): ≈ $238K modelledShorts at 4,791.9–4,811.5 (+22.75%): ≈ $224K modelledShorts at 4,811.5–4,831.1 (+23.25%): ≈ $211K modelledShorts at 4,831.1–4,850.6 (+23.75%): ≈ $194K modelledShorts at 4,850.6–4,870.2 (+24.25%): ≈ $176K modelledShorts at 4,870.2–4,889.7 (+24.75%): ≈ $154K modelled2,933.8-25.00%3,325-15.00%3,716.2-5.00%4,107.4+5.00%4,498.5+15.00%4,889.7+25.00%PAXG 3,911.8Model est-1.0+hl-2026-09-27 · All · estimate$353K$9.13M$705K$18.25MLongs at 2,953.4–2,973 (-24.25%): ≈ $51K modelledLongs at 2,973–2,992.5 (-23.75%): ≈ $98K modelledLongs at 2,992.5–3,012.1 (-23.25%): ≈ $98K modelledLongs at 3,012.1–3,031.6 (-22.75%): ≈ $98K modelledLongs at 3,031.6–3,051.2 (-22.25%): ≈ $99K modelledLongs at 3,051.2–3,070.7 (-21.75%): ≈ $98K modelledLongs at 3,070.7–3,090.3 (-21.25%): ≈ $98K modelledLongs at 3,090.3–3,109.9 (-20.75%): ≈ $108K modelledLongs at 3,109.9–3,129.4 (-20.25%): ≈ $126K modelledLongs at 3,129.4–3,149 (-19.75%): ≈ $142K modelledLongs at 3,149–3,168.5 (-19.25%): ≈ $156K modelledLongs at 3,168.5–3,188.1 (-18.75%): ≈ $166K modelledLongs at 3,188.1–3,207.7 (-18.25%): ≈ $183K modelledLongs at 3,207.7–3,227.2 (-17.75%): ≈ $204K modelledLongs at 3,227.2–3,246.8 (-17.25%): ≈ $230K modelledLongs at 3,246.8–3,266.3 (-16.75%): ≈ $257K modelledLongs at 3,266.3–3,285.9 (-16.25%): ≈ $272K modelledLongs at 3,285.9–3,305.5 (-15.75%): ≈ $297K modelledLongs at 3,305.5–3,325 (-15.25%): ≈ $309K modelledLongs at 3,325–3,344.6 (-14.75%): ≈ $310K modelledLongs at 3,344.6–3,364.1 (-14.25%): ≈ $310K modelledLongs at 3,364.1–3,383.7 (-13.75%): ≈ $309K modelledLongs at 3,383.7–3,403.3 (-13.25%): ≈ $310K modelledLongs at 3,403.3–3,422.8 (-12.75%): ≈ $311K modelledLongs at 3,422.8–3,442.4 (-12.25%): ≈ $312K modelledLongs at 3,442.4–3,461.9 (-11.75%): ≈ $312K modelledLongs at 3,461.9–3,481.5 (-11.25%): ≈ $314K modelledLongs at 3,481.5–3,501 (-10.75%): ≈ $336K modelledLongs at 3,501–3,520.6 (-10.25%): ≈ $364K modelledLongs at 3,520.6–3,540.2 (-9.75%): ≈ $390K modelledLongs at 3,540.2–3,559.7 (-9.25%): ≈ $412K modelledLongs at 3,559.7–3,579.3 (-8.75%): ≈ $425K modelledLongs at 3,579.3–3,598.8 (-8.25%): ≈ $449K modelledLongs at 3,598.8–3,618.4 (-7.75%): ≈ $479K modelledLongs at 3,618.4–3,638 (-7.25%): ≈ $513K modelledLongs at 3,638–3,657.5 (-6.75%): ≈ $561K modelledLongs at 3,657.5–3,677.1 (-6.25%): ≈ $595K modelledLongs at 3,677.1–3,696.6 (-5.75%): ≈ $599K modelledLongs at 3,696.6–3,716.2 (-5.25%): ≈ $631K modelledLongs at 3,716.2–3,735.8 (-4.75%): ≈ $633K modelledLongs at 3,735.8–3,755.3 (-4.25%): ≈ $621K modelledLongs at 3,755.3–3,774.9 (-3.75%): ≈ $609K modelledLongs at 3,774.9–3,794.4 (-3.25%): ≈ $602K modelledLongs at 3,794.4–3,814 (-2.75%): ≈ $642K modelledLongs at 3,814–3,833.5 (-2.25%): ≈ $668K modelledLongs at 3,833.5–3,853.1 (-1.75%): ≈ $625K modelledLongs at 3,853.1–3,872.7 (-1.25%): ≈ $68K modelledLongs at 3,872.7–3,892.2 (-0.75%): ≈ $29K modelledShorts at 3,911.8–3,931.3 (+0.25%): ≈ $115K modelledShorts at 3,931.3–3,950.9 (+0.75%): ≈ $182K modelledShorts at 3,950.9–3,970.5 (+1.25%): ≈ $140K modelledShorts at 3,970.5–3,990 (+1.75%): ≈ $138K modelledShorts at 3,990–4,009.6 (+2.25%): ≈ $171K modelledShorts at 4,009.6–4,029.1 (+2.75%): ≈ $227K modelledShorts at 4,029.1–4,048.7 (+3.25%): ≈ $248K modelledShorts at 4,048.7–4,068.3 (+3.75%): ≈ $271K modelledShorts at 4,068.3–4,087.8 (+4.25%): ≈ $332K modelledShorts at 4,087.8–4,107.4 (+4.75%): ≈ $311K modelledShorts at 4,107.4–4,126.9 (+5.25%): ≈ $265K modelledShorts at 4,126.9–4,146.5 (+5.75%): ≈ $383K modelledShorts at 4,146.5–4,166 (+6.25%): ≈ $705K modelledShorts at 4,166–4,185.6 (+6.75%): ≈ $680K modelledShorts at 4,185.6–4,205.2 (+7.25%): ≈ $609K modelledShorts at 4,205.2–4,224.7 (+7.75%): ≈ $560K modelledShorts at 4,224.7–4,244.3 (+8.25%): ≈ $566K modelledShorts at 4,244.3–4,263.8 (+8.75%): ≈ $590K modelledShorts at 4,263.8–4,283.4 (+9.25%): ≈ $592K modelledShorts at 4,283.4–4,303 (+9.75%): ≈ $585K modelledShorts at 4,303–4,322.5 (+10.25%): ≈ $572K modelledShorts at 4,322.5–4,342.1 (+10.75%): ≈ $588K modelledShorts at 4,342.1–4,361.6 (+11.25%): ≈ $582K modelledShorts at 4,361.6–4,381.2 (+11.75%): ≈ $566K modelledShorts at 4,381.2–4,400.8 (+12.25%): ≈ $549K modelledShorts at 4,400.8–4,420.3 (+12.75%): ≈ $530K modelledShorts at 4,420.3–4,439.9 (+13.25%): ≈ $496K modelledShorts at 4,439.9–4,459.4 (+13.75%): ≈ $457K modelledShorts at 4,459.4–4,479 (+14.25%): ≈ $424K modelledShorts at 4,479–4,498.5 (+14.75%): ≈ $402K modelledShorts at 4,498.5–4,518.1 (+15.25%): ≈ $382K modelledShorts at 4,518.1–4,537.7 (+15.75%): ≈ $346K modelledShorts at 4,537.7–4,557.2 (+16.25%): ≈ $318K modelledShorts at 4,557.2–4,576.8 (+16.75%): ≈ $314K modelledShorts at 4,576.8–4,596.3 (+17.25%): ≈ $313K modelledShorts at 4,596.3–4,615.9 (+17.75%): ≈ $311K modelledShorts at 4,615.9–4,635.5 (+18.25%): ≈ $311K modelledShorts at 4,635.5–4,655 (+18.75%): ≈ $308K modelledShorts at 4,655–4,674.6 (+19.25%): ≈ $295K modelledShorts at 4,674.6–4,694.1 (+19.75%): ≈ $284K modelledShorts at 4,694.1–4,713.7 (+20.25%): ≈ $272K modelledShorts at 4,713.7–4,733.3 (+20.75%): ≈ $262K modelledShorts at 4,733.3–4,752.8 (+21.25%): ≈ $254K modelledShorts at 4,752.8–4,772.4 (+21.75%): ≈ $249K modelledShorts at 4,772.4–4,791.9 (+22.25%): ≈ $238K modelledShorts at 4,791.9–4,811.5 (+22.75%): ≈ $224K modelledShorts at 4,811.5–4,831.1 (+23.25%): ≈ $211K modelledShorts at 4,831.1–4,850.6 (+23.75%): ≈ $194K modelledShorts at 4,850.6–4,870.2 (+24.25%): ≈ $176K modelledShorts at 4,870.2–4,889.7 (+24.75%): ≈ $154K modelled2,933.8-25.00%3,422.8-12.50%4,400.8+12.50%4,889.7+25.00%PAXG 3,911.8Model est-1.0+hl-2026-09-27 · All · estimate
Longs liquidated (price falls)Shorts liquidated (price rises)Cumulative from the price outwards (right axis)

Model est-1.0+hl-2026-09-27 · All leverage · positions opened in the last 30 days. Each bar is 19.559 wide. Outside the chart: ≈ $0 of longs and $2.98M of shorts.

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

Long levelswithin −10%
$9.57M
densest near 3,823.8
Short levelswithin +10%
$7.52M
densest near 4,156.3
Modelled liquidationslast 30 days
$33.15M
exchanges reported $3.70M
Open interestall exchanges
$146.45M
$15.83M long · $21.23M short levels

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

An estimated liquidation map for PAX Gold (PAXG): 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 PAXG long cluster is at $3,843.3 (-1.75%) and the nearest short cluster at $4,156.3 (+6.25%); about $4.42M of longs and $2.16M of shorts are modelled within ±5% of the $3,911.8 price. Looking for where liquidations may cluster over time? See the PAXG liquidation heatmap. Looking for liquidations that already happened? See PAXG liquidations.

The model places $15.83M of long and $21.23M of short liquidation levels for PAXG from positions opened in the last 30 days (all leverage). Within 10% of the 3,911.8 price: about $9.57M of longs below and $7.52M of shorts above. The densest modelled clusters are longs near 3,823.8 (-2.25%) and shorts near 4,156.3 (+6.25%).

Liquidation maps for other coins

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

Modelled liquidations near the price

All leverage · last 30 days
Price moveLongs liquidated (price falls)Shorts liquidated (price rises)
±2%$794K$558K
±5%$4.42M$2.16M
±10%$9.57M$7.52M

How this estimate is made

Model est-1.0+hl-2026-09-27

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 (the distribution table is on the PAXG 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.

PAXG liquidation map FAQ

Is this PAX Gold 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. 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.