Hyperliquid (HYPE Liquidation Heatmap

What Is a Hyperliquid Liquidation Heatmap?

A Hyperliquid liquidation heatmap maps the price levels where leveraged perpetual positions are set to be force-closed. Each bright band marks a level where a cluster of longs or shorts would fall below maintenance margin and be handed to the protocol's liquidation engine.

The difference from a CEX heatmap is the data. Binance and OKX heatmaps are statistical models, because no centralized exchange publishes per-position liquidation prices. Hyperliquid runs on-chain, so any wallet's positions, margin, and liquidation price are queryable directly. The map aggregates real liquidation prices from real positions instead of inferring them from assumed leverage. Read it alongside open interest, funding rates, and the long/short ratio to see where leverage actually sits.

How to Read It

• Color intensity measures notional exposure at a level. Brighter zones carry more leverage.
• Horizontal bands are mark-price levels. A continuous bright band means liquidation prices are stacked there. Triggers fire against the oracle mark price, not the last trade, so a wick on one venue does not clear a cluster.
• The left scale gives total liquidation exposure in USD per band; the right scale ties each cluster to a precise level you can set alerts at.
• The center path is live price for the selected market.
• The time axis shows how long a cluster has persisted. Levels that hold for days matter more than ones that lit up an hour ago.

How It Is Built

The heatmap reads Hyperliquid's on-chain clearinghouse rather than reconstructing it. For each position it derives a liquidation price from margin and size, then aggregates into bands weighted by notional, with the oracle mark price as the reference. This is tighter than a CEX model, which has to assume the leverage distribution. Two caveats: cross-margin positions share collateral across an account, so their liquidation price depends on the whole account, and mark-price moves shift every level block by block.

For the wider venue stack, pair this with the all-asset liquidations feed and perpetual DEX statistics.

How Hyperliquid Liquidations Work

The engine does not market-dump a position the instant it goes underwater, which changes how clusters resolve:

• Trigger: account equity, including unrealized PnL, falls below maintenance margin (roughly half the initial margin at max leverage, tightening with size).
• Partial first: for positions over 100,000 USDC, only about 20 percent hits the book on the first attempt, with a ~30-second cooldown before fuller liquidation.
• HLP backstop: below about two-thirds of maintenance margin, the Hyperliquidity Provider vault takes the position at a mark-based price. The trader keeps any residual margin; there is no clearance fee.
• Insurance fund and ADL: shortfalls hit the insurance fund, then auto-deleveraging closes out profitable traders on the other side to keep the system solvent.
• Leverage compresses with size. A major asset's 40x headline drops automatically as notional grows, so the largest clusters sit at conservative distances while tight, far-out clusters are smaller high-leverage positions.

Partial closes, cooldowns, and the backstop are designed to soften cascades. They still happen, but a bright cluster does not always clear in one sweep.

How Traders Use It

• Magnet zones: price gravitates toward the largest unswept clusters, especially when funding is stretched. On Hyperliquid the clear is often gradual, so a magnet can be worked over several pushes.
• Stop hunts: a bright cluster just past a local high or low is a common target. A wick that tags it and reverses is the liquidity grab, measured against the oracle mark.
• Cascade sizing: when clusters stack in a tight band, one liquidation can chain into the next. Cut size or widen stops near stacked zones.
• ADL risk (Hyperliquid-specific): a correct, in-profit position can still be deleveraged if a large position blows through the vault and insurance fund. One dominant cluster with thin opposing liquidity is where this tail risk is highest.

Read with the Hyperliquid perpetuals dashboard and all-asset liquidations feed for full context.

Common Patterns

• Symmetric clusters resolve toward whichever side carries more leverage; positive funding usually flags the crowded long.
• Asymmetric clusters (one dominant level, no counterweight) act as high-probability targets and carry the most ADL risk.
• Cluster drift over a 12-to-24-hour window shows whether leverage is building or unwinding. Drifting clusters are weaker than ones that hold their level.

Limitations

The on-chain source removes guesswork but not uncertainty. Cross-margin accounts blur per-position liquidation prices. Mark-price triggers mean levels move block by block. The map is Hyperliquid only, so CEX, OTC, options, and ETF flow are off-chart. And the engine's partial closes and backstop blunt the one-to-one read between a cluster and a violent move. Treat the heatmap as one of several signals across positioning, funding, structure, and macro.

FAQ

What does a bright zone on the heatmap mean?

It marks a price level where leveraged exposure is concentrated and set to liquidate. If the mark price reaches that level, the protocol's engine begins force-closing positions there, producing a burst of forced buying or selling that can push price into the next cluster.

Is the Hyperliquid heatmap more accurate than a Binance or OKX heatmap?

Generally yes for cluster sizing. CEX heatmaps infer exposure from open interest and assumed leverage tiers, while Hyperliquid positions are on-chain and queryable, so the map aggregates observed liquidation prices. Cluster locations on both are reliable; the on-chain advantage is in sizing, though cross-margin accounts still add some estimation error.

Why does it use mark price instead of the last trade?

Hyperliquid liquidates against a mark price built from an oracle that blends external spot and perp prices with its own book. This makes triggers harder to manipulate, so a brief spike on a single venue does not clear a cluster the way a last-price model might suggest. Clusters are anchored to the oracle mark, which is the level that matters.

What is auto-deleveraging and how does it affect the read?

Auto-deleveraging, or ADL, closes out profitable traders on the opposite side of a position when the insurance fund and HLP vault cannot absorb a shortfall. It means a correct, in-profit position can still be reduced, with no equivalent on most CEX heatmaps. Large, one-sided clusters with thin opposing liquidity carry the highest ADL risk.

Which markets are covered?

The major Hyperliquid perpetual markets, with views for the most liquid assets including BTC, ETH, SOL, and HYPE. For positioning across the wider on-chain venue set, see the all-asset liquidations feed and perpetual DEX statistics.

Can a liquidation heatmap predict price?

It shows where reflexive flow is most likely to start, not which direction price will take on its own. The strongest setups pair a clear cluster target with confirming signals from funding rates, open interest, and price structure.

Are heatmaps available for other markets?

Yes. CoinPerps publishes live heatmaps for the major perpetual markets, including the Bitcoin liquidation heatmap, Ethereum liquidation heatmap, Solana liquidation heatmap, and XRP liquidation heatmap.