TraderMap.io

Liquidation Heatmap

Where leveraged positions are most likely to be liquidated.

Price
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Long liquidations below
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Estimated, model based
Short liquidations above
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Estimated, model based
Largest cluster
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How to use the liquidation heatmap

Pick a coin and a time range, then look for the brightest horizontal bands. Each band is a price where many leveraged positions would be liquidated if price reached it. Bands above the current price are mostly short liquidations, bands below are mostly long liquidations.

Price often drifts toward large clusters because liquidations are forced market orders: a long liquidation is a market sell and a short liquidation is a market buy. That extra flow can accelerate a move, which is why traders watch these levels as possible targets and as places where stop orders cluster.

A band disappears once price trades through it, because those positions are gone. Use the leverage buttons to isolate low-leverage levels (5x-10x), which sit far from price, or high-leverage levels (50x-100x), which sit close and get hit first.

Is this the same as exchange data?

No. TraderMap estimates levels from traded volume and leverage tiers, so treat bright bands as relative signals rather than exact dollar amounts. The live liquidations feed shows real forced orders reported by Binance.

Which time range should I use?

Use 12H to 1D for intraday trading and 7D to 30D for swing levels. Longer ranges show larger, older clusters that have survived many candles.

How this liquidation heatmap works

Model: every candle opens new leveraged positions at its typical price. For each leverage tier (5x to 100x) the liquidation price of a long sits below that price and the liquidation price of a short sits above it. A level stays on the map until a later candle trades through it, which is when those positions would have been liquidated.

Data: candles come straight from Binance Futures (Bybit as fallback) in your browser; live liquidation prints come from the Binance !forceOrder stream. Values are estimates built from traded volume, not exchange-reported open positions, so use them to spot relative clusters rather than exact dollar amounts. Not financial advice.