Solana liquidation heatmap
Where leverage is stacked on SOL perpetuals, the highest-beta major on this site. Bright bands are where forced closes are most likely to fire.
Loading the map Contract Binance USD-M perpetual Updated --
SOL spot
Binance SOL/USDT, last trade
Open interest
Binance USD-M perpetual, notional
24h volume
Binance SOL/USDT, 24 hours
Leverage within 2%
Modelled from open interest
SOL/USDT Liquidation HeatmapBinance USD-M perpetual
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 --
Solana (SOL) 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 2026Figures 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 SOL 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.
Solana is the high-beta major. Its leverage crowd is more retail than Bitcoin's, its clusters get reached more often, and a large share of SOL perpetual trading happens onchain on Solana itself, on books that no centralised heatmap includes.
Time runs left to right, price runs bottom to top: The dotted line is the actual SOL 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 SOL 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 SOL 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 Solana leverage
SOL is the highest-beta of the large assets on this site. It moves further than Bitcoin and Ethereum in both directions, which means a cluster at a given percentage from spot is reached more often here than the same distance would be on BTC. Clusters on this map have shorter lives, get consumed more frequently, and rebuild faster.
The blind spot on Solana is bigger than on any other asset here. A meaningful share of SOL perpetual trading happens onchain, on Solana's own derivatives venues, where leverage is liquidated by smart contract rather than by an exchange risk engine. None of that is on this surface, and it is the same asset moving on the same price. The books on the picker are the largest centralised pools of SOL leverage, not the whole of it, and a cascade can start onchain and arrive here.
SOL leverage is also sentiment-linked to activity on its own chain in a way that BTC and ETH leverage is not. When trading on Solana is busy, retail leverage on SOL builds quickly and the near-spot region of this map fills with tight, high-leverage bands. When it goes quiet, those bands thin out and the surviving clusters are the wider, lower-leverage ones further from price. The shape of the map tells you which regime the asset is in.
Solana carries the 24 hour to 90 day windows. the 180 day and one year maps are not published outside Bitcoin and Ethereum, and on an asset as fast as SOL the 90 day window is in practice the long view: very little leverage survives ninety days of Solana price action untouched.
Solana and the spot ETF
Solana has an unleveraged flow through its spot ETFs that runs beside the derivatives book. The SOL ETF dashboard shows the bids that a cascade below spot has to trade through, and the Solana treasuries page shows the holders who will not be liquidated by it.
Why clusters move price
A liquidation is not a normal sale. It is a market order the exchange sends on the trader's behalf, at whatever price the book offers, with no regard for slippage. When a dense cluster is hit, thousands of those orders fire inside a few seconds against a book that has usually already thinned out.
That is the cascade mechanic. Price reaches a cluster, the cluster fires, the firing pushes price further in the same direction, and the push reaches the next cluster. It stops when it runs out of stacked leverage or when resting bids and offers are deep enough to absorb the flow.
Why clusters attract price
This is also why clusters act like magnets in quiet markets. A pool of guaranteed market orders sitting at a known price is a target, and desks that can see it have every reason to push toward it.
Using it without getting run over
- Remember the onchain books: A share of SOL leverage is liquidated by smart contract on Solana's own venues, off this map. A cascade can begin there and arrive on the book you are looking at.
- 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.
- Do not park a stop inside a cluster: That is precisely the price where slippage is worst.
- Watch which side is heavier: When one side of price holds most of the leverage, the path of least resistance usually runs toward it.
- Check the window: A cluster built over thirty days is a different animal from one built in the last six hours.
- 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 Solana goes next?
It cannot. It maps where a SOL move would accelerate, not whether one is coming. On Solana the practical use is sizing: the asset reaches its clusters more often than BTC or ETH, so a level at a given distance from spot is a nearer risk here than the same distance on a major.
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.
Solana stops at 90 days, because the 180 day and one year maps are published for Bitcoin and Ethereum only. On SOL that is rarely a loss. The asset moves enough that very little leverage survives ninety days untouched, so the 90 day view already shows the oldest clusters that still exist.
Does this include Solana's onchain perpetuals?
No. A meaningful share of SOL leverage sits on Solana's own onchain derivatives venues, where positions are liquidated by smart contract, and no centralised heatmap includes them. The books on the picker are the largest centralised pools of SOL leverage. A cascade can start onchain and reach these books, or the other way round.