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NEAR liquidation heatmap

Where leverage is stacked on NEAR perpetuals, a high-beta layer 1 with a thin book. Bright bands are where forced closes are most likely to fire.

Loading the map Contract Binance USD-M perpetual Updated --

NEAR spot

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Binance NEAR/USDT, last trade

Open interest

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Binance USD-M perpetual, notional

24h volume

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Binance NEAR/USDT, 24 hours

Leverage within 2%

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Modelled from open interest

NEAR/USDT Liquidation HeatmapBinance USD-M perpetual

Window
Threshold 0%
Heat ×1.0
Candles 100%
No Binance map for this window No map is drawn rather than a made-up one. Reload to try again.
Est. notional per level 0-- updown

The liquidation heatmap for this venue and window, as of the time shown above. Clusters are modelled from open interest and standard leverage tiers, then cleared once price trades through them. Real liquidation prices depend on position size, margin mode and maintenance margin, so read this as pressure, not guaranteed triggers.

Spot -- Short liquidity above -- Long liquidity below --

NEAR Liquidation Levels

How to read this →

Above price

Short liquidations --

Waiting for the feed.

Below price

Long liquidations --

Waiting for the feed.

About this data

Updated Sep 2026

Figures are shown as the source publishes them, and anything we calculate is explained below. How the data is made Report an error General information, not financial advice.

What the map shows

A perpetual futures position is borrowed money. Every leveraged trade carries a price at which the exchange closes it automatically, because the margin behind it has run out. That price is not a secret: it follows mechanically from the entry price and the leverage used.

This map is the liquidation heatmap for the selected venue's NEAR perpetual over the chosen window. It takes the open interest added in each period, works out roughly where those positions were opened, and projects the price at which each standard leverage tier would be liquidated. Stack all of those projections together and you get a surface: bright where a lot of forced closing sits waiting, dark where there is almost none.

NEAR is a mid-sized layer 1 that trades as a high-beta version of the wider altcoin market. Its perpetual book is a small fraction of Bitcoin's, so the clusters here are smaller in dollars and matter more in percent: it takes far less forced selling to move the price through a level.

Time runs left to right, price runs bottom to top: The dotted line is the actual NEAR price over the same window. Bands that survive to the right edge are leverage that price has not yet reached.

How to read it

  • Bright bands above price are shorts. If NEAR rallies into one, those shorts get bought back by the exchange, which adds buying to a move that is already up.
  • Bright bands below price are longs. If NEAR falls into one, those longs get sold, which adds selling to a move that is already down.
  • A band that ends abruptly was consumed. Price traded through it, the positions were closed, and the liquidity is gone. That is why the surface is cleared behind the price line rather than left painted.
  • Thin, tight bands very close to spot are the 100x crowd. They are large in count and small in notional, and they get taken out constantly.
  • Wide bands far from spot are the 10x crowd. Rarer, much bigger, and the ones that produce the headline cascades.

What is different about NEAR leverage

NEAR rarely moves on its own. It rises and falls with the altcoin complex, usually by more, and it has been pulled along by rotations into AI-linked tokens. That shows on the map: leverage builds quickly when alts are running, on both sides, and a turn in Bitcoin that barely marks the BTC map can reach several NEAR clusters in one session.

The book behind those clusters is thin. Open interest on NEAR perpetuals is a small fraction of what sits on Bitcoin or Ethereum, and the order books that have to absorb a liquidation are shallower still. A cluster of a given size therefore does more work here: the forced orders are a larger share of what is resting in the book, and the wick that clears a band tends to overshoot it.

Judge the bands against each other, not against another asset's map. The colour scale on this page is set by NEAR's own largest cluster, so a band that would be invisible on the Bitcoin map can be the brightest thing here, and it is the brightest thing here that matters to a NEAR position.

NEAR carries the 24 hour to 90 day windows; the longer maps are not published outside Bitcoin and Ethereum. Every book on the picker lists a NEAR perpetual, and the maps can differ between them more than they do on the majors, because each venue's share of a small market is lumpier.

Compare venues before trusting a band

On a market this size one venue's positioning can dominate a level. Switch the venue picker before you lean on a cluster: a band that shows on Binance, Bybit and OKX alike is a level the whole market shares, and one that shows on a single venue is that venue's crowd.

Using it without getting run over

  1. Size a cluster against this map, not Bitcoin's: NEAR's perpetual market is small, so its bands are small in dollars and still decisive for its price. The colour scale is set by the asset's own largest cluster, which is the comparison that matters.
  2. Treat clusters as risk, not as entries: Knowing where forced selling sits tells you where a move is likely to accelerate. It does not tell you the move is coming.
  3. Do not park a stop inside a cluster: That is precisely the price where slippage is worst.
  4. Watch which side is heavier: When one side of price holds most of the leverage, the path of least resistance usually runs toward it.
  5. Check the window: A cluster built over thirty days is a different animal from one built in the last six hours.
  6. Size for the cascade, not the level: If you are long into dense long liquidity below, assume the fall through it will be faster than normal.

What it cannot tell you

  • A blended level is not one order book: All exchanges adds the venues together, so a bright band there can be mostly one book. Only that book's own price trading through it triggers those positions, so pick the venue out before sizing around a level.
  • It cannot see cross-margin: A trader with collateral spread across several positions is liquidated on portfolio health, not on a single price.
  • It assumes standard leverage tiers: Real traders use 7x and 33x and every number in between.
  • It is not a forecast: A dense cluster at 8% below spot says what happens if price gets there. It says nothing about whether it will.

Not investment advice

This page describes market structure, not what to do about it. Nothing here is a recommendation to buy or sell anything. Leveraged trading can lose you more than you put in, and a map of where other people are positioned is not a reason to take a position yourself.

Questions

How often does this heatmap update?

Every 60 seconds while the page is open. The status line under the headline shows when the map was last updated. The figures beside it refresh on the same cadence, and each one says underneath where it came from.

All exchanges, or one at a time?

They answer different questions, so the page opens on the blend and keeps the books beside it. All exchanges: where the leverage sits market-wide, which is what you want when you are asking whether a level matters at all. One venue: whose book it sits in, which is what you want before trading on it, because a cluster on one exchange is only reached when that exchange's own price gets there. A band that looks large on the blend can be one venue carrying almost all of it.

Are these real liquidation orders?

No, and no public heatmap is. Exchanges do not publish the liquidation price of every open position. What is real here is the price data and the open interest that feeds the model. The projection from open interest onto liquidation prices is a model, and what it cannot show is set out under what it cannot tell you.

Can it predict where NEAR goes next?

It cannot. It maps where a NEAR move would accelerate, not whether one is coming, and most NEAR moves start somewhere else: in Bitcoin, or in a rotation across altcoins. Its value is in showing how much leverage sits within reach of an ordinary daily range, which on a high-beta asset is wide.

What does clearing a cluster mean?

Once price trades through a level, the positions that would have been liquidated there are gone. Leaving the band painted would show liquidity that no longer exists, so the map wipes any cluster the price has crossed. That is why the surface behind the price line is dark.

Which window should I use?

The 24 hour view for intraday work, where the clusters that matter were built in the last few sessions. The 7 and 30 day views for position sizing. The 90 day, 180 day and one year views for the large low-leverage bands that have survived months without being touched.

NEAR stops at 90 days, because the 180 day and one year maps are published for Bitcoin and Ethereum only. On NEAR the 3 and 7 day views are the most useful: leverage here is rebuilt within days of a move, and the week shows which bands survived it.

Why do the NEAR maps differ so much between venues?

Because the market is small and each venue holds an uneven share of it. On Bitcoin every large venue shows much the same surface; on NEAR one venue's traders can account for most of a band. A level that appears on several venues at once is shared by the whole market, and one that appears on a single venue belongs to that venue's crowd.