Liquidation Levels Map: Where Price Hunts Liquidity

Why Price Seems to Hunt Certain Levels

Every leveraged position carries a price at which the exchange force-closes it — its liquidation price. When enough positions share a similar entry and leverage, their liquidation prices cluster together into a pool of resting orders. Those pools act like magnets: forced liquidations are market orders, and a cascade of them accelerates price straight into the cluster. This is why price so often spikes to a level, triggers a wave of stops and liquidations, and then reverses — it was reaching for liquidity.

You cannot see real positions from outside an exchange, but you can estimate where liquidation pressure would sit if positions were spread across common leverage tiers. That is exactly what the estimated liquidation levels map does: it projects long and short liquidation prices for 5x through 100x from two public numbers — live mark price and total open interest. This guide explains the formula behind it and how to read the map.

The Liquidation Formula

The map uses the same isolated-margin liquidation formula as a standard liquidation-price calculator, with a 0.5% maintenance-margin assumption. For a given entry price and leverage:

• Long liquidation = entry price × (1 − 1/leverage + maintenance margin)
• Short liquidation = entry price × (1 + 1/leverage − maintenance margin)

Longs get liquidated when price falls (below the current price); shorts when price rises (above it). The key term is 1/leverage: the higher the leverage, the smaller that term, so the liquidation price sits closer to entry. A 100x position only needs roughly a 1% adverse move to be wiped out, while a 5x position can withstand about a 20% move first. That is a mechanical property of leverage itself, not an assumption — which is why the highest-leverage tiers always cluster tightest around the current price.

How the Estimate Is Built

A true liquidation heatmap — the kind on centralized-exchange dashboards — requires continuously recording the exchange’s liquidation stream over time to see where liquidations actually happened. A static site has no such feed. Instead, this map builds a transparent estimate from two numbers that are public:

• Live mark price — the current price for the symbol.
• Total open interest — the exchange’s reported OI for that symbol.

It then assumes open interest is spread evenly across five common leverage tiers (5x, 10x, 25x, 50x, 100x) and evenly between longs and shorts — so each of the ten buckets gets one-tenth of total OI as its estimated notional. It computes each bucket’s liquidation price with the formula above. The result shows roughly where liquidation pressure could cluster if positions were spread that evenly. It is explicitly an estimate, not observed position data — the even-split assumption is the most defensible one available because no exchange publishes the true leverage distribution.

Worked Example

Take a coin trading at $60,000 with a 0.5% maintenance margin. The table shows the estimated liquidation price and distance for each tier, long and short. Distance is measured from the current price.

Leverage	Long Liq. (price falls)	Distance	Short Liq. (price rises)	Distance
5x	$48,300	−19.5%	$71,700	+19.5%
10x	$54,300	−9.5%	$65,700	+9.5%
25x	$57,900	−3.5%	$62,100	+3.5%
50x	$59,100	−1.5%	$60,900	+1.5%
100x	$59,700	−0.5%	$60,300	+0.5%

Take the 5x long: $60,000 × (1 − 1/5 + 0.005) = $60,000 × 0.805 = $48,300, a 19.5% drop. The 100x long sits at $60,000 × 0.995 = $59,700, barely 0.5% away. Notice how the 50x and 100x clusters bunch tightly just above and below the current price — those are the nearest, most easily-triggered pools, which is why a small move can set off an outsized liquidation cascade among the high-leverage crowd.

How to Read the Liquidation Levels Map

The tool is a live map, refreshing automatically every 60 seconds:

1. Symbol. Pick the coin (BTC, ETH, or SOL). The map fetches that symbol’s live price and open interest and rebuilds the estimate.
2. The chart. Horizontal lines mark each estimated liquidation level. Red lines are long liquidations (below price, triggered when price falls); green lines are short liquidations (above price, triggered when price rises). The dashed line marks the current price, and each line is labeled with its leverage tier and estimated notional.
3. The table. Every tier is listed with its Est. Liq. Price, Distance from current price, and Est. Notional.
4. The result panel. Read Current Price, Total Open Interest, Nearest Long Liquidation, and Nearest Short Liquidation at a glance — the nearest clusters on each side are the levels price is most likely to reach for first.

A trader uses this to spot where a squeeze could accelerate: if the nearest short-liquidation cluster sits just overhead and price is grinding up, a break could trigger those liquidations and fuel a fast move into the pool. The same logic applies in reverse for long clusters below.

Honest Limits of the Estimate

Read this map as a where-could-pressure-sit approximation, not a claim about real positions. Its explicit assumptions: open interest is split evenly across every leverage tier and evenly between longs and shorts, with a fixed 0.5% maintenance margin and the isolated-margin formula. It does not reflect actual per-trader leverage or position data, which is not observable without a real-time liquidation feed. Use it alongside real structure on the chart.

• For the mechanics of a single position’s liquidation price, see liquidation price explained.
• For how estimated liquidation clusters compare with a volume-based view of resting liquidity, see liquidation heatmap vs volume profile.
• For how markets deliberately reach for these pools, see the reverse liquidation guide.