Hyperliquid Liquidation Map & Heatmap: Where to See It and How to Read It

Heatmaps for the HYPE token on Binance and Bybit are models, not Hyperliquid data. Liquidations fire at the mark price and hit the order book as market orders, 20% at a time for positions over 100,000 USDC. What a 2% or 5% move would liquidate right now is in the first table below; your own level comes from the Hyperliquid calculator.

1. Hyperliquid liquidations today: the heatmap near price and whale levels

Liquidation heatmap now: what a 2% or 5% move would liquidate

The table reads the free HyperPerps heatmap API, which rebuilds the liquidation clusters of about 21,000 Hyperliquid wallets every 5 minutes from their on-chain positions (market makers excluded), and this page re-reads it at every build. It answers the first question behind “Hyperliquid liquidations today”: how much would be force-closed if price moved a little from here.

Data as of October 15, 2026, 04:41 UTC (stored snapshot; the live API was unavailable at build time). Source: HyperPerps public heatmap API, BTC 2,763, ETH 1,698, HYPE 2,304, SOL 955 open positions analysed. Cumulative notional whose liquidation price sits within 2% and 5% of the price shown. Not a forecast: positions get re-margined or closed before price arrives.

At this reading the near-price risk is on the long side for BTC, ETH, HYPE, and SOL: a 5% drop would force out at least twice as much as a 5% rise. Clusters made of one or two wallets can be defended with more margin; the wallet count in the last column tells you whether a cluster is a crowd or one trader.

What already got liquidated

The second meaning of “Hyperliquid liquidations” is the total that already fired. Hyperliquid has no market-wide liquidation stream or endpoint in its API: a liquidation is flagged in the liquidated account’s own fills, and the only complete record is the node fill archive on S3 (official WebSocket and info docs, checked October 21, 2026), so exchange-wide totals come from third parties that collect every account’s fills. At about 07:10 UTC on October 21, 2026, Allium and HyperTracker showed the same 24-hour figure: $44.1M of notional liquidated across 3,823 traders (4,519 positions), $38.7M of it shorts caught by the bounce, and the largest single liquidation a $7.59M ETH position. Allium’s median liquidation that day was about $300, so the crowd that actually gets liquidated is mostly small accounts with high leverage, not the whale bars on a map. None of the whale accounts we tracked from October 15 was liquidated in the six days since (a userFillsByTime check of each found no liquidation fill): they added margin instead (below). For your own or any address’s liquidation history, and for the full archive, see Hyperliquid historical data API.

Whale liquidation levels (October 21, 2026 snapshot)

To show what sits under the map, we took the 500 largest active accounts on the official leaderboard (accounts that traded in the last 30 days) and the 439 dormant accounts among the 700 largest, queried each one’s positions at October 21, 2026 (07:00 UTC) and bucketed their liquidation prices. The 324 accounts with open perps held $6.65B of notional against Hyperliquid’s $11.60B of open interest at that moment, so this is the whale half of the map (HIP-3 markets not included; dormant accounts are marked). For live levels, use the tools below; this table is dated on purpose.

A selection, not a full ranking: the nearest bands on each side of every coin plus the largest farther out; some farther bands of similar size are left out. Bands are $1,000 wide for BTC, $50 for ETH, $2.50 for HYPE and $5 for SOL, and the row text names the largest positions in each band.

How much whale notional would liquidate within a given move (October 21, 2026):

What this snapshot says:

• Whales have stepped back from price. Within 5% of the mark the whale sample held almost nothing ($2M of BTC longs, none on ETH, HYPE or SOL), against $88M of BTC longs and $203M of ETH longs within 5% on October 15. At this reading the near-price risk is smaller traders, the HyperPerps table at the top, not whales.
• ETH still carries the nearest heavy weight. Two longs of 45,169 ETH (10x cross, liquidating near $2,234) and 41,590 ETH (9x cross, near $2,204), $214M between them, sit 8–10% under the mark. They are the two accounts Hyperliquid cut in 20% slices on October 8; both received margin again on October 18 and added size, which moved their levels $56 and $97 further from price.
• BTC: an isolated long at −10%, the big one at −16%. An 805 BTC isolated long at 10x liquidates near $74,780. The 12x cross long, now 1,236 BTC, moved from about $74,450 to $69,200 after $9.0M of USDC arrived on October 17. The nearest large short is still the 721 BTC isolated position near $91,700, 11% up.
• HYPE’s big level keeps sliding away. The dormant 1,380,043 HYPE long ($112M at 5x cross) liquidates near $71.68, 11% under the mark, after $3.75M of USDC arrived since October 15; the second transfer landed about 90 minutes before HYPE’s low of $76.02 on October 18. No whale short liquidates within 20%.
• SOL is quiet. No position in the whale sample liquidates within 10% of the SOL price; the nearest large bands are a 113,890 SOL short near $133 (+25%) and the dormant 550,088 SOL long near $67.94 (−36%).
• The biggest bars are the farthest. The two 5x cross books (addresses beginning 0x5b5d and 0xb83d) hold BTC shorts that liquidate near $139.6k and $147.9k and ETH shorts near $4,027 and $4,581, 65–88% away. They dominate any list sorted by size and barely matter for the next week.

What happened to the October 15 levels: none was reached, three were topped up

On October 15 the nearest heavy bands were BTC longs at 25x–40x between $77,900 and $79,400 ($88M), the two ETH longs near $2,301 and $2,290 that had been cut in 20% slices on October 8, the 12x BTC long near $74,450 and the dormant HYPE long near $74.56. None was reached: BTC’s low since then was $79,732 (October 15, 13:00 UTC), ETH’s $2,322.4 in the same hour and HYPE’s $76.02 (October 18), all from Hyperliquid’s hourly candles. The three BTC longs at 25x–40x are no longer in our sample (closed, cut or no longer among the largest accounts). The others were defended with fresh money before price got close. The address that funded the BTC and ETH whales in early October sent $9.0M to the BTC account on October 17; it then added 233 BTC and opened a 15,928 ETH long, and its BTC level moved from about $74,450 to $69,200. On October 18 the same address sent $3.5M and $4.5M to the two ETH accounts, which bought another 4,900 and 2,600 ETH; their levels moved to $2,234 and $2,204. The dormant HYPE long received $2.1M on October 15 and $1.65M on October 18, the second about 90 minutes before HYPE’s low, and its level slid from $74.56 to $71.68 without a single trade. The lesson from two snapshots: on October 8 the ETH whales were sliced before their money landed; this week the money landed first. A whale level is a moving target, so check the time on any map before trading toward it.

Hyperliquid Calculator — Liquidation price, margin, fees, hourly funding and PnL for any Hyperliquid perp, with the official formula and margin tiers. — Open the calculator →

2. Hyperliquid liquidation map and liquidation heatmap tools compared (16 checked)

We opened all 16 tools on October 21, 2026, with curl and in a real browser for the ones that block scripts, noting what each shows, where the data comes from and what it costs; 15 were free. “Exact” means the levels are read from Hyperliquid’s on-chain positions; “Model” means they are estimated from open interest and assumed leverage. None of these links are affiliate links.

Which one to open

• Intraday BTC, ETH or HYPE trader: the CoinMarketCap map for the 60-second refresh and leverage-band colours, with the CoinMarketCap heatmap alongside to see which zones have held for a day or a week.
• Swing trader checking risk once a day: the CoinGlass Hyperliquid map plus the whale tracker next to it, so you can see who owns the biggest bars and how much margin they have.
• Altcoin trader: CoinMarketCap, because it covers every native Hyperliquid perp rather than whales or three majors.
• Trading HYPE on Binance or Bybit: a model heatmap (CoinGlass, Coinfuty, Datawallet), read together with the exact Hyperliquid map, because Hyperliquid is where most HYPE leverage sits.
• Systematic trader: the API or HyperPerps’ free endpoint. Details in section 5.

3. What a Hyperliquid liquidation map is, and why it is exact

A liquidation map answers one question: if price moves to level X, how much position value gets force-closed? Longs get forced out as price falls and shorts as it rises, so long bars stack under the market and short bars over it; the height of a bar is the dollar exposure that would be closed inside that band. The largest bars are the levels most likely to act as magnets, because anyone who pushes price into them releases a burst of forced market orders.

Centralized exchanges do not publish this data, so CoinGlass and others build heatmaps by modelling where leverage was probably applied from open interest, price changes and assumed leverage. On Hyperliquid the model is unnecessary. The exchange runs on its own chain, and one clearinghouseState request to the public info API returns any address’s open positions with size, leverage, margin mode and the exchange’s own liquidationPx. A Hyperliquid liquidation map is the real list of levels, aggregated. CoinMarketCap labels its version “Hyperliquid Exact” for that reason.

The catch is that exactness is a snapshot. A level is exact when you read it, but traders add margin, cut size or close, and cross-margin liquidation prices move whenever another position in the same account moves. A map from an hour ago can be wrong; a map from a minute ago is close enough to trade on.

Liquidation map vs liquidation heatmap

The two words get mixed up in search, but they are different views. A liquidation map is a bar chart of current levels by price. A liquidation heatmap adds time on the horizontal axis and shades each price band by how much is stacked there, so zones that persist stay bright and zones that were consumed go dark. For centralized exchanges a heatmap has to be a model. For Hyperliquid it no longer does: the CoinMarketCap Liquidation Heatmap, launched in September 2026, records the exact level of every open Hyperliquid position about every 5 minutes, and changing its range only zooms the chart. In practice: open the map to see which bands price would run into next, and the heatmap to judge whether those bands are old and persistent or were only just built.

Why a Binance HYPE heatmap still matters for Hyperliquid

Hyperliquid liquidates at the mark price, and one of the three inputs to the mark is the median of centralized-exchange perp prices from Binance (weight 3), OKX (2), Bybit (2), Gate (1) and MEXC (1), according to the official docs. The other two inputs come from Hyperliquid’s own book and the oracle. So a liquidation cascade through a dense HYPE cluster on Binance moves one input of Hyperliquid’s mark directly, and can drag Hyperliquid positions into their levels even before Hyperliquid’s own book moves. Model heatmaps for the CEX side and the exact Hyperliquid map are two halves of the same picture. More on how the mark is built in mark price vs index price.

4. How to read a Hyperliquid liquidation heatmap or map

The steps are the same for the bar-chart map and the time-by-price heatmap; the heatmap adds step 5, telling fresh clusters from swept ones.

1. Pick the coin and find the price marker. Long liquidations sit below it, short liquidations above. On CoinMarketCap you can switch between the token aggregate and a single market.
2. Find the largest bar on each side and measure its distance in percent. A $100M bar 5% away can be reached in one volatile session; a bigger one 60% away is positioning information, not a target. Distance matters more than size, and the “largest magnet zone” a tool highlights is often the farthest one.
3. Check who is behind the bar. One position from one whale can be defended with more margin or closed early. Twenty positions from twenty accounts behave like a crowd and are far more likely to actually liquidate. The CoinGlass whale table (see our Hyperliquid whale tracker guide) and Hyperdash (Hyperdash guide) show the owners; CoinMarketCap’s leverage colours are a proxy, since high-leverage bands are dense with small accounts.
4. Compare against open interest. A $100M cluster is a much bigger event on HYPE or SOL than on BTC. Our live markets table lists open interest per coin.
5. Separate fresh clusters from swept ones. On a heatmap, a band that price has already run through and that went dark is spent: the forced orders have fired. A bright band that has persisted for a day or more and has not been touched is the live magnet.
6. Watch the drift over 12–24 hours. Levels move as traders add margin, as funding changes account value and as new positions open. A cluster that keeps sliding away from price is being defended; one that keeps thickening is being crowded.
7. Cross-check funding. Stretched positive funding plus a big long cluster just below price is the classic long-squeeze setup; stretched negative funding plus a short wall just above is the mirror. Live rates are in our Hyperliquid funding rate tables.

Different tools also sample different traders, which is why their pictures differ. HyperPerps reads about 21,000 wallets of every size; our snapshot reads only the largest accounts. On October 21, 2026 the two disagreed sharply: at 07:40 UTC HyperPerps’ heaviest BTC long cluster sat at $81,364 ($25.6M across 21 wallets, 2% below price) and it counted $152M of BTC longs within 5%, while the whale sample held $2M within 5%. On October 15 they had agreed (HyperPerps’ heaviest BTC long cluster then was at $79,505, in the same zone as three whale longs). Retail clusters near price and whale clusters farther out are both real; they answer different questions, so read both.

5. Hyperliquid liquidation data and history: API and alerts

“Hyperliquid liquidations” usually means what already happened, not what could. Hyperliquid has no market-wide liquidation stream or endpoint in its API: a liquidation is flagged in the liquidated account’s own fills, and the only complete record is the node fill archive on S3, so every history below is either one account at a time or a third party that collected all of them. Where to look:

• Exchange-wide history: Allium’s dashboard counts realized Hyperliquid liquidations from fills that carry a liquidation field (median size, notional, users liquidated). For the HYPE token on centralized exchanges, Coinalyze and Gate break liquidations down by exchange, and the CoinGlass Liquidation History Heatmap counts liquidation trades per coin.
• One account: paste the address into the Hyperliquid explorer or Hyperdash; liquidation fills are marked in the trade history.
• API: clearinghouseState returns open positions with liquidationPx (weight 2 of a 1,200-per-minute budget; add "dex" for HIP-3 markets). Each fill in userFills can carry a liquidation object with the liquidated user, the mark price and the method, market (sent to the book) or backstop (taken by the liquidator vault). The userEvents websocket pushes liquidation events as they happen. Setup and rate limits: Hyperliquid API guide.
• Alerts and Telegram: third-party bots post large liquidations to Telegram, and CoinGlass has its own alert feature. We have not audited any of them. A price alert just before the cluster you watch, or a websocket subscription to the addresses you care about, does the same job with no middleman. See how to set up price and liquidation alerts.

Hyperliquid liquidation data: what you can pull yourself

Three questions come up in search, and each has a different source:

• “Hyperliquid liquidation history” for the whole exchange: the only official record is the node fill archive (node_fills_by_block on S3, requester pays), where each liquidation fill carries the liquidation field. Parsing it, and the other archives, is covered in our Hyperliquid historical data API guide. Allium offers the same data as ready-made tables.
• “Hyperliquid liquidation data” for a list of accounts: query userFillsByTime per address and keep the fills whose liquidation.liquidatedUser is that address. Page through the results (one response holds at most 2,000 fills; restart from the last fill’s time) and count failed requests instead of treating them as empty. That is how we checked the whale accounts tracked in section 1 for liquidation fills.
• “Hyperliquid liquidation levels API”: clearinghouseState per address for exact liquidationPx values, or the HyperPerps endpoint for clusters already aggregated across about 21,000 wallets (it powers the table at the top of this page).

Worked example: what one sweep of large accounts found (October 4–15)

For the October 15 edition we ran that query for all 937 accounts in the whale snapshot, from October 4 (15:27 UTC) to October 15 (04:45 UTC), paging every response and with no failed request. Result: 55 liquidation fills worth $104.7M across 22 accounts. Two thirds was ETH: on October 8, as ETH fell through $2,440–2,417, Hyperliquid cut the two biggest ETH longs of the October 4 table in 20% slices. At 15:35 UTC it sent 11,372 ETH of a 56,861 ETH long to the book (filled at an average $2,438.55, $27.7M); at 16:02 it took a second 20% of the same position (9,098 ETH at $2,420.17) and the first 20% of a 41,228 ETH long (8,246 ETH at $2,417.69): $69.7M of forced market selling in 27 minutes, each slice exactly 20% of the position as the docs describe. HIP-3 stock perps added $32.4M (xyz:INTC $9.35M, xyz:SKHX $8.56M, xyz:LITE $7.35M, xyz:SOXL $4.90M and smaller ones) and a HYPE long $1.9M. All 55 fills went to the order book (method market), none to the backstop vault. Both ETH accounts were refilled with fresh USDC within the hour and bought back; they are the two ETH longs defended again this week. The sample covers large accounts only, so it is a method demonstration, not an exchange total.

6. How Hyperliquid liquidations execute

Reading the map well requires knowing what happens when a level is hit, because the mechanism decides whether a cluster becomes a cascade. From the official liquidation docs, read on October 21, 2026:

• Trigger. A position is liquidatable when account equity falls below the maintenance margin, which is half the initial margin at the asset’s maximum leverage (table in section 7). Large positions fall into lower leverage tiers and therefore face higher maintenance.
• Price used. The mark price, which combines external CEX prices with Hyperliquid’s own book and updates about every 3 seconds (how it is built: Hyperliquid mark price vs index price). Printing one bad trade on Hyperliquid’s book is not enough to trigger a cluster.
• Execution. The position is sent to the order book as market orders. For positions over 100,000 USDC only 20% is sent at first; after a partial liquidation there is a 30-second cooldown during which further liquidation orders are for the whole position. Collateral left once maintenance is met stays with the trader, and there is no clearance fee.
• Backstop. If equity drops below two-thirds of maintenance margin without a successful book liquidation, the liquidator vault, a strategy inside HLP, takes the position, and the maintenance margin is not returned. For cross positions, all cross positions and cross margin transfer together.
• Auto-deleveraging. If an account ends up with negative value, profitable traders on the other side are ranked by unrealized PnL and leverage and closed at the previous mark price, so the exchange carries no bad debt. A lopsided map, with a huge short cluster above and almost nothing below, is where ADL risk concentrates for the winning side if that cluster ever breaks.

The consequence for the map: every level that gets hit becomes taker flow on Hyperliquid’s book in the direction of the move. Slicing large positions and a blended mark price slow cascades compared with venues that liquidate whole positions at their own last price, but they do not stop them. A cluster that is large next to visible book depth will still walk the mark into the next cluster. That feedback loop is covered in how liquidation cascades form.

7. Estimate your liquidation price, and leverage caps

Before trading around other people’s levels, know your own. This quick estimate uses Hyperliquid’s published formula for an isolated position (for both sides, cross margin and other venues, open the liquidation price tool); for cross margin, the liquidation price depends on total account value instead. For every Hyperliquid perp with margin tiers, cross margin, fees, funding and PnL, use the full calculator; the derivation and other venues are in the DEX liquidation price calculator.

Hyperliquid Calculator — One Hyperliquid position end to end: margin, liquidation price, fees, hourly funding, PnL and ROE for every perp market. — Open the calculator →

How leverage caps set how far clusters sit from price: the higher an asset’s maximum leverage, the closer to price its most aggressive positions liquidate. Maximum leverage and margin tiers from the registry, maintenance margin derived from the docs rule:

Distance from entry to liquidation for an isolated long:

Worked example with the snapshot price: a 10x isolated BTC long at $82,781 liquidates at about $75,446, just above the 805 BTC isolated whale long near $74,780, so in a fall you would be force-sold first, and the whale’s 20% slices would follow straight after. At 20x the same entry liquidates at $79,637, 3.8% under the mark and only 0.1% below BTC’s low since October 15 of $79,732, so one slightly wider day would take you out. It also sits inside the 5% band where HyperPerps counted $152M of smaller traders’ BTC longs at 07:40 UTC on October 21, 2026, with its heaviest cluster above you at $81,364 (section 4): if that crowd is forced out first, its market selling pushes the mark toward your level. Putting your liquidation price inside or just beyond a big cluster is the most avoidable mistake on the map. Two rules: keep your level clear of the nearest large cluster, and set a stop above your liquidation price so you keep the maintenance margin instead of handing it to the backstop. Related: Hyperliquid isolated vs cross margin, leverage tiers across DEXs.

Already have a Hyperliquid account? While it has traded no more than $10,000 in total, you can still add a code in the app under Referrals → “Enter Code” (Hyperliquid referral code after you have traded).

8. Trading around Hyperliquid liquidation clusters

Setups that use the map

• Fade the flush. When price is driven into a large long cluster, the forced selling is mechanical and finite. Wait for the cluster to clear (the bars disappear and the heatmap band goes dark), then look for a long on the reversal with a stop below the wick. Buy after the cluster is gone, not into it.
• Ride the magnet. If a large cluster of many accounts sits within 3–5% and the market is already moving toward it, trade in the direction of the move with a take-profit just before the cluster. This does not need the cluster to break or a reversal call.
• Never park a stop inside a cluster. Your stop becomes one more market order in the same burst and fills at the worst prices. Put it before the cluster or well beyond it.
• Size against the map. If your liquidation level would land inside a dense cluster, lower the leverage until it does not. The map is a leverage selector as much as a signal.
• Use funding as the filter. A long cluster below price matters most when funding is stretched positive (longs crowded and paying); a short wall above matters most when funding is deeply negative.

What not to do

• Do not treat every bar as a target. Most levels are never hit. Bars far from price describe positioning, not trades.
• Do not ignore who owns the bar. A single whale with free margin can defend a level, but not always in time: in October one sending address funded three whale positions, and the two ETH longs among them still lost 20% slices to liquidation when ETH fell fast on October 8, then were refilled. As the September 20 snapshot showed, a whale can also simply leave.
• Do not forget the map is public. Every market maker sees the same clusters. The edge is in combining the map with funding, open interest and your own limits, not in the map alone.
• Do not use a CEX heatmap as Hyperliquid data. Binance moves feed Hyperliquid’s mark price, but the levels that create forced flow on Hyperliquid’s book are Hyperliquid’s own.

FAQ

Disclosure: HOLYGRAIL is our referral code; we earn a share of referred accounts’ fees. None of the tool links are affiliate links. Liquidation clusters were computed from public Hyperliquid API data at October 21, 2026 (07:00 UTC) and change constantly; the near-price heatmap comes from the HyperPerps public API at build time; tool features and prices were read on each tool’s site (October 21, 2026) and liquidation mechanics from the official Hyperliquid docs on October 21, 2026. Nothing here is investment advice.