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#67 Real liquidation clusters: magnets, turns, or neither? Not shown

Past prices and recorded liquidations; no real orders were placed. A first look, reported and not judged: the judged looks are fixed for 9 January and 9 April 2027.

The question

Liquidation "heat maps" are a common sight on trading charts. The idea behind them is that where many leveraged positions were forced out, the price is drawn back (a magnet) or turns (a wall). An earlier study here tested modelled liquidation levels, worked out from swing points and leverage, and found no edge after fees. This one tests levels where liquidations actually happened:

How we tested

What we found

1. Clusters were touched about as often as the mirror level. Over 4 hours, on the Tardis days:

clusterstouched: clustermirrorbusiest pricecluster minus mirror (95% interval)
Bitcoin1,00752%47%56%+4.7 points (−0.3 to +9.6)
Ether1,17052%55%57%−2.9 points (−8.0 to +2.4)
Solana1,19655%55%64%−0.3 points (−6.1 to +5.5)

Every interval spans zero. In our own 17 days the result was the same: Bitcoin +7.2 points (−3.0 to +17.1), Ether +0.7, Solana +0.6, each from 166 to 312 clusters.

Touched within 4 hours: liquidation clusters minus the mirror level
↑ points (cluster rate minus mirror rate)
-10010Bitcoin1st of each month, 2020-2026, Bitcoin: 4.667 (95% band -0.3209 to 9.61)every day, 11-27 Oct 2026, Bitcoin: 7.229 (95% band -2.994 to 17.1)Ether1st of each month, 2020-2026, Ether: -2.906 (95% band -7.994 to 2.412)every day, 11-27 Oct 2026, Ether: 0.7435 (95% band -8.584 to 8.844)Solana1st of each month, 2020-2026, Solana: -0.2508 (95% band -6.137 to 5.484)every day, 11-27 Oct 2026, Solana: 0.641 (95% band -10.73 to 11.21)
coin →
— 1st of each month, 2020-2026— every day, 11-27 Oct 2026

Bands are 95% intervals from resampling whole days; a band that spans zero cannot be told from zero.

2. The busiest price was touched more often than the cluster, on all three coins (4 to 8 points, every interval below zero on the Tardis days). Part of this is distance: the busiest price sat closer to the price than the clusters did (median 0.51–0.58% away, against 0.62–1.04%). So this comparison is tilted against the clusters, and the mirror is the fairer one. The mirror shows nothing either.

3. Fading a cluster lost a little after fees. Net per trade on the Tardis days: Bitcoin −0.04%, Ether −0.16%, Solana +0.00%. In our 17 days: −0.09%, −0.14%, −0.07%. Fading the busiest price instead did about as well or as badly; no difference could be told from zero.

Fading a liquidation cluster at its first touch: net per trade after fees
↑ % per trade
-0.20Bitcoin1st of each month, 2020-2026, Bitcoin: -0.04404 (95% band -0.1583 to 0.07768)every day, 11-27 Oct 2026, Bitcoin: -0.06948 (95% band -0.2163 to 0.08674)Ether1st of each month, 2020-2026, Ether: -0.1579 (95% band -0.2663 to -0.03979)every day, 11-27 Oct 2026, Ether: -0.1284 (95% band -0.3213 to 0.06431)Solana1st of each month, 2020-2026, Solana: 0.001668 (95% band -0.1314 to 0.164)every day, 11-27 Oct 2026, Solana: -0.06967 (95% band -0.286 to 0.1301)
coin →
— 1st of each month, 2020-2026— every day, 11-27 Oct 2026

Bands are 95% intervals from resampling whole days; a band that spans zero cannot be told from zero.

4. No split rescued it. Clusters made of longs' liquidations and of shorts' liquidations, each exchange on its own, 1 and 24 hours, and hours when open interest rose or fell: all were printed (81 rows). None showed a steady effect across coins and sources. The few intervals that clear zero do not repeat on another coin or in the other source, which is what chance gives over this many rows.

What this means, and its limits

What comes next

Credits

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Educational research from public market data; any trading discussed is paper, never real. Nothing here is advice. The full notice.