Section 13 of 18
Cascades and the liquidation map
How one forced trade pushes the price into the next, why the chain breaks, what the estimated liquidation map really draws and why a liquidation total always names its exchanges. With 378 bursts from our archive.
The chain: how one liquidation triggers the next
Section 12 gave us the key point: a liquidation is not “the exchange took the money” somewhere in its books, it is a market trade. When a position runs out of margin, the exchange closes it itself, with a market order. Liquidating a long is a forced sell; liquidating a short is a forced buy. Such an order has no limit price and no patience: it takes whatever rests in the book, level by level, until the whole size is filled.
That is where the chain comes from. The price falls → the most leveraged longs run out of margin → their forced sells eat the bids → the price drops further → the next longs, with slightly less leverage or a slightly lower entry, reach their liquidation price. Each step sets up the next one. This is a liquidation cascade. The mirror case is an upward cascade of shorts: forced buys lift the price into the next shorts' liquidation prices (often called a short squeeze).
It matters how a cascade differs from an ordinary decline. In an ordinary decline every seller decides: sell now or wait, place a limit order or hit the market. In a cascade the decision was made in advance — when the trader chose the leverage. The exchange carries it out mechanically and at the worst moment: when the price is already moving against the position and the book below is thinning.
Two steps of a cascade, with illustrative numbers
Illustrative example. The price is 99,800. Bids rest below it: 99,790 — $0.4M, 99,760 — $0.5M, 99,720 — $0.6M, 99,680 — $0.8M, 99,640 — $0.7M. At 99,800, $1.5M of longs reach liquidation; at 99,750, another $1.0M.
Step 1. The $1.5M forced sell eats 0.4 + 0.5 + 0.6 = $1.5M of bids. The last trade prints at 99,720 — the new price. The average price of this sell is about 99,752, not 99,800: each next part filled lower.
Step 2. 99,720 is already below 99,750, so the second group of longs is liquidated too. Its $1.0M eats $0.8M at 99,680 and $0.2M at 99,640. The price is 99,640. Nobody made a decision that minute: leverage and a thin book decided it all.
Had $5M of bids rested at 99,720 instead of $0.6M, the first sell would have stopped at 99,720 with room to spare, the price would not have reached 99,750, and there would be no second step. Book thickness decides whether one liquidation becomes a cascade.
What a cascade looks like in EVA. The “Order book · Flow” panel has a liquidations feed: time, coin, side, price and amount. A single line is noise. A cascade is a run of lines of one side in a row, often at close prices, within seconds or minutes. The rest is usually visible too: a candle with a long body, a burst of one-sided aggression in CVD (section 7), open interest that is not rising but falling (section 10): a liquidation closes a position, so fewer contracts remain in the market. “Price sharply down + a run of long liquidations + OI falling” is the typical portrait of a downward cascade. The mirror: “price up + a run of short liquidations + OI falling” is an upward cascade.
Compare another picture: the price falls, OI rises, almost no liquidations. That is not a cascade but new positions — someone is opening shorts. Liquidations and OI together answer the question “who is moving the price — new participants or forced ones”.
Why a cascade ends — and what followed 378 bursts
A cascade cannot go on forever, and it usually stops for one of several reasons.
- The fuel ran out. Each liquidation removes a position from the market. Once all positions with a nearby liquidation price are gone, there is nothing left for the next step. Leverage has been “burnt out” — visible as a sharp drop in OI.
- It hit thick liquidity. Large limit orders (liquidity walls, section 4) can absorb forced sells without moving the price further. This is the absorption from section 8: aggression keeps coming, the price stands.
- Opposite buyers arrived. A sharp drop makes the price interesting to those who were waiting lower. Their market buys extinguish the remaining pressure.
- The side changed. After a long cascade, shorts opened on the way down often remain. If the price bounces, they are the ones at risk — and sometimes a cascade starts in the opposite direction.
None of these causes is visible in advance to the exact price. A wall can be pulled (section 4), opposite buyers may not come, and exchanges do not publish how many positions sit lower. So the honest question is not “where will the cascade end” but “are there signs the fuel is running out”: the liquidations feed thins, OI stops falling, hits on the bids no longer move the price.
378 liquidation bursts: what came next
Production archive, 02.09–13.10.2026 (42 days), coins BTC, ETH and SOL. A burst is a five-minute bar in which one side's liquidation total was in the top 1% of all five-minute bars of that coin for the period and at least three times the other side. After a burst the next hour of the same coin was skipped so one cascade would not count many times. That gave 378 cases (BTC 132, ETH 126, SOL 120; longs wiped out in 193, shorts in 185).
- Within the five minutes the price moved in the direction of the wipe-out in 340 of 378 cases (89.9%). In the other 38 the minute price had already come back by the end of the bar: the dip happened and recovered inside it.
- One hour after the burst the price had gone further the same way in 180 cases (47.6%) and was on the other side in 198 (52.4%).
- After 4 hours: further the same way — 153 (40.5%), back — 225 (59.5%).
- In 163 of 378 cases another burst of the same side followed within the hour. Of those, the price was further after an hour in 120 (73.6%). Without a repeat burst (215 cases) — only in 60 (27.9%).
What follows. First: liquidations do push the price where it was already going — nine bursts in ten coincided with the move. Second: “there is always a bounce after a cascade” and “a cascade always continues” are both false: after an hour it is nearly even. Third: the cascade continued when new fuel turned up — a repeat burst. But that is only visible in hindsight: at the first burst nobody knows whether a second will come. This is a breakdown that explains the mechanics, not a hint.
Caveats. Prices are the archive's one-minute snapshots, so a fast dip and bounce within a minute is invisible. Liquidation totals are incomplete (see lesson 4), and the “top 1%” cut-off was chosen for this study sample, not taken from EVA's algorithms.
Source: production archive ~/eva-terminal/archive, of_2026-09-02 … of_2026-10-13 (*.g?.jsonl.gz): liq events and one-minute prices of BTC, ETH, SOL; script dev/kurs_stat/r13.py, result zamery/kurs/r13.json
The example's figure shows the first case of each outcome for BTC, not the prettiest ones. On 02.09.2026 at 08:50 UTC, $1.47M of longs were wiped out in five minutes (20 liquidations); the minute price went from 76,823.1 to 76,770.0, and an hour after the burst it was 76,640.4 — further down. The same day at 10:50 UTC, $5.75M of longs were wiped out (155 liquidations) — almost four times more — yet by the end of that five-minute bar the minute price was already 76,477.6 against 76,426.6 at its start, and in the next bar $1.07M of shorts were wiped out. An hour later — 76,665.0, higher. A bigger burst did not mean a longer fall.
The liquidation map: an estimate, not orders
The “Liquidations” chart layer puts five different things on one field, and the first rule is not to mix them up:
- fact — history bands: where positions have already been wiped out and for how much over the day; hovering names the amount, side and the exchange the number comes from;
- the estimated map — a model: where, by our estimate, other people's liquidation prices might be;
- levels of large Hyperliquid addresses — real liquidation prices of specific positions: Hyperliquid discloses positions publicly;
- option strikes with max pain and unfilled CME gaps — separate layers with their own tooltips.
The estimated map answers: “if positions were opened here, with usual leverage, where would their liquidation prices be?” The logic is simple. Exchanges do not say who holds what leverage, but one can see where trading happened and where open interest grew — that is, where positions were probably opened. From such an entry price the liquidation price sits at a distance that depends on leverage (section 12). The model spreads the presumed positions across several typical leverages and draws where their liquidations would cluster.
Where the map's bands come from
Illustrative example, without maintenance margin — to see the idea, not the exact figure. OI rose noticeably around 100,000: longs were probably opened there. If some of them use 10× leverage, their liquidation is about 100% / 10 = 10% lower, near 90,000; at 25× — 4% lower, near 96,000; at 50× — 2% lower, near 98,000. So one entry zone becomes three bands on the map.
With maintenance margin (section 12) each band is slightly closer to the entry, but the order is the same: the higher the leverage, the closer the liquidation is to the entry and the sooner the price gets there.
Notice how many “ifs” and “probablys” there are. The model does not know what share of positions used 10× and what share used no leverage at all; it does not know how many are already closed, who has a stop order above the liquidation, and who has shared collateral across the whole account. A band is a place where liquidations might be.
What the map shows. Where liquidation prices would cluster under typical leverage. It is useful as a question: “if the price gets here, could a forced wave happen here?” Next to the fact, the map lets you compare where things were already wiped out and where there may still be something to wipe out.
What the map does not show.
- Real orders. There is not a single order from the book on the map — orders are shown by the book and the heatmap (section 4). A map band does not “rest” anywhere; it cannot be pulled or filled.
- Anyone's real positions — except large Hyperliquid addresses, whose positions are public. Their levels are the hardest numbers on the layer: not an estimate but an actual figure from the exchange.
- Price direction. The popular idea that “price moves to liquidation clusters like a magnet” is a hypothesis. A check on the 04–24.09.2026 archive (against random minutes of the same coin and hour, on two halves of the sample) showed the price did not go more often to where the map had more untouched liquidations. The map did not behave like a magnet.
- Completeness when empty. An empty map does not mean “there are and will be no liquidations”: the day's wiped-out turnover always stands next to it, to tell silence from lost data.
The coverage caption: which exchanges were counted
Any liquidation total is the total of what exchanges reported, and they report differently. On the “Money” tab the “Liquidations” block states under the total how many coins and which exchanges it covers. The differences between exchanges are:
- Bybit, Gate and Kraken Futures send every liquidation;
- OKX — the exchange's liquidation history; it is counted while the sample is fresh, and if OKX is silent, the caption says so;
- Binance and Bitget — at most one liquidation per second per coin (Bitget: the largest for longs and for shorts). In a second of a cascade, when dozens of positions close, we see one line from them;
- Hyperliquid is not in the total: its public data does not mark liquidations. Its large addresses' positions are visible instead — a different source, shown separately.
So EVA's total and another service's total can differ several-fold, and neither has to be wrong. The liquidation map for OKX and for Bybit differs roughly two-fold in turnover — the venue is always named next to it. The “incomplete” mark on a coin means less data is in memory than the window — not everything is counted there.
How much is visible at “one per second”
Illustrative example. A cascade on one coin lasts 20 seconds; on Binance 25 positions close every second — 500 in all. A feed of “at most one per second” gives us at most 20 lines: 20 / 500 = 4% of the liquidations by count. By amount the share may be larger or smaller — it depends on which of the second's 25 the exchange sent. The undercount is largest exactly in the densest seconds of a cascade: in a calm minute with fewer than one liquidation per second little is lost.
Hence the comparison rule: compare the totals of two days or two services only with the same coverage caption. “Yesterday $200M, today $120M” means nothing if yesterday's caption listed six exchanges and today OKX was silent.
Common mistakes
- “The liquidation map shows stops and orders everyone can see.” No: it is a calculation on assumptions. Orders are in the book; exchanges do not disclose positions, except Hyperliquid.
- “The price is pulled to the brightest band on the map.” The 04–24.09.2026 check did not confirm it. A band is a question — “what if the price gets there” — not a promise that it will.
- “There is always a bounce after a cascade.” Over 378 bursts, an hour later the price was further in 180 cases and back in 198 — nearly even.
- “The bigger the burst, the longer it continues.” For BTC, the archive's very first “back” case was four times larger than the first “further” case. What matters is not the size of one burst but whether new fuel turns up.
- “Another service shows a larger total, so EVA is losing data.” First compare the coverage captions: the set of exchanges, the window and which exchanges send only part.
- “An empty liquidations feed means there were no liquidations.” Only large wipe-outs reach the feed, and an exchange may be silent. Check the daily turnover and the caption.
- Mistaking a cascade for new positions. A sharp fall with rising OI is shorts being opened, not forced selling.
The whole course
- How the market works: spot, futures, leverage — What exactly you buy on spot and on futures, how to calculate profit and loss with leverage — as a percentage of margin and of the position, who makers, takers and aggressors are, and why price moves only through trades.
- Orders and execution: price, fees, slippage — Limit, market and stop orders, take-profit; how a market order fills across several prices and how to compute the average fill price; maker and taker fees on entry and exit — charged on the position, not the margin; slippage and common calculation mistakes.
- The order book: bids, asks, spread and depth — How the order book works: levels, best prices, the spread and the mid price; depth and how a market order eats through levels; thin and thick books in the EVA archive; multi-exchange books and what the book does not show.
- Liquidity walls: what rests and what gets pulled — What a dense order and a wall are, how a filled wall differs from a pulled one, what spoofing is, how to read book imbalance by distance bands and the heatmap — and why a wall is an intention, not money.
- The tape: orders, merging, pace — What the tape and prints are, why an exchange sends one order as a dozen trades, how EVA merges them back, what “large” means on its own venue, how to read tape pace — and what the tape does not show.
- Volume and the volume profile — What bar volume says and does not say, why volumes of different exchanges do not match, how the volume profile, POC and value area (VAH/VAL) work, how to read high volume without movement, and session profiles.
- Delta and CVD: who was pressing — Bar delta is market buys minus market sells; CVD is delta added up. Why “there were more buyers” is the wrong phrase, how to read the slope, why futures and spot are shown separately, and what delta does not show.
- Divergences, absorption, CVD by trade size — When price and CVD go different ways, when market flow is met by limit orders, and which orders are pressing — small, medium or large. With honest statistics from our archive: 53 continuations against 54 reversals.
- Footprint: inside the candle — What happened between the open and the close: market sells and buys at each price level, the candle's POC, the diagonal imbalance and stacked imbalances — with calculations, a real BTC bar from the archive and an honest count over a week.
- Open interest — How many futures positions are open, how every trade changes that number, why OI in dollars misleads when the price moves, and what our archive honestly says about OI growth.
- Funding — Why a perpetual future has a payment between longs and shorts, who pays whom, how to compare rates of exchanges with different intervals, what it costs a position, and what our archive says about “overheated” funding.
- Liquidations: mechanics and maths — Why the exchange closes a position itself, what maintenance margin is, how to estimate the liquidation price and why it is closer than “100% / leverage”, how a stop differs from a liquidation, and what follows the heaviest hours.
- Cascades and the liquidation map — How one forced trade pushes the price into the next, why the chain breaks, what the estimated liquidation map really draws and why a liquidation total always names its exchanges. With 378 bursts from our archive.
- Exchange flows and whales — What a coin transfer to or from an exchange shows through our node, why a transfer is a chance to sell rather than a sale, how to read stablecoins, ETFs and exchange reserves with their delays, and who the off-exchange “whales”, US government wallets and Hyperliquid whales are. With two days, 12–13.10.2026, worked through.
- Macro and news — The release calendar: time, forecast, previous value and the actual from the primary source; why the market reacts to the deviation from expectations rather than the number itself; what happens to the book before a release; how to read dominance and the TOTAL caps; news and retellings of retellings. With 19 US releases from EVA's calendar worked through.
- Risk: position size and stop — How much you may lose on one trade, where the stop goes and how these two numbers give the position size; what leverage really does, how much of R fees eat, and why the percentages on the exchange screen are not percentages of the account.
- Risk: streaks, expectancy, journal — How much a system makes per trade on average, why losing streaks are inevitable, how recovery from a drawdown is computed, what to record in a trading journal and which mistakes break even profitable trading.
- Using EVA as a whole — The tab order and the day's order — from general to particular; the “?” sign and the “what it does not show” point; how to read “no data”, the source and the time of data; narrow alerts; replay for an honest review of an entry, and a journal in R.