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Hyperliquid Whale Long Short Ratio at 0.87: $4.4B of Shorts Sitting on a $150M Loss

The Hyperliquid whale long short ratio hit 0.87 as $4.4B of shorts sat on a $150M loss. What liquidations, funding and OI say about a squeeze.

October 18, 2026·The Buildix Team·3 views
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Hyperliquid Whale Long Short Ratio at 0.87: $4.4B of Shorts Sitting on a $150M Loss — Published by Buildix, a crypto orderflow analytics platform with real-time VPIN, CVD and whale tracking on the 100 most liquid Hyperliquid pairs.

Whales on Hyperliquid held $8.232 billion in positions on October 17, and 53.43% of that, $4.399 billion, was short. Per Coinglass data reported by ChainCatcher, that puts the Hyperliquid whale long short ratio at 0.87. The short side was the one losing: about $150 million in unrealized loss, while the $3.833 billion long book was up about $182 million.

A short heavy book in the red is a specific setup. It is not a bearish signal on its own. It is a list of positions that have to be defended with more margin or closed with market buys, and that buying is something the tape can show.

What the Hyperliquid Whale Long Short Ratio Shows

The figures are a snapshot. KuCoin's flash report of the same Coinglass data, republished from MarsBit, adds the recent change: long PnL up $18.2 million and short PnL down $15 million. The ratio does not say where those shorts were opened or how much margin backs them. It says the larger side by notional is the losing side.

One address makes it concrete. ChainCatcher flags 0x5b5d..60 with a 5x fully collateralized ETH short opened at $2,322.64 and an unrealized loss of about $10.37 million. A position like that gets managed: the trader adds collateral, cuts size, or waits for price to come back.

On October 5 this blog looked at the top profit cohort on Hyperliquid running net short while the rest of the market leaned long. Twelve days later the aggregate whale book is net short and underwater. These are different cuts of the data, but they raise the same question: is the short side informed, or just large?

The Liquidation Tape Says Longs Paid This Week

The broader market tells a different story. In the 24 hours to 05:35 UTC on October 17, CoinGlass counted $315.20 million in liquidations across 80,568 traders, with longs taking $209.02 million, or 66.3%, according to The Crypto Times. Bitcoin accounted for $75.80 million and Ethereum for $64.13 million. The largest single order was a $7.43 million ETHUSDT short on Binance.

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Two days earlier the tape was much louder. The same report puts October 15 liquidations at nearly $1 billion over that day's 24-hour window, the day after a September CPI print of 3.7% year over year. Since then the flush has faded: the 12-hour total was $85.82 million and the 4-hour total $10.24 million, with shorts taking $7.15 million of the latter.

So the forced selling has come from longs across venues, in waves, while the largest Hyperliquid accounts lean short and are losing on it. That is the divergence to track. The side that was forced out most recently is no longer there to absorb the next move, and the side still holding size is the one under pressure.

Open Interest and Funding Are Not Stretched

The derivatives backdrop is calm. The Crypto Times reports Bitcoin perpetual open interest at $65.57 billion and an 8-hour funding rate of 0.0074%, a slight tilt toward longs paying. BTC traded at $81,480 at the time, inside a 24-hour range of $80,760.87 to $82,816.15, with 24-hour volume down 22.4% from the previous day.

Low funding matters for the short side. Shorts are not paying a meaningful carry to stay in, so nothing in the funding rate is pushing them out. A squeeze would need price to do the work, which brings the question back to where the stops and liquidation levels sit.

Participation is thin as well. The same report cites a Google Trends chart shared by Willy Woo showing search interest in "Bitcoin" and "BTCUSD" at its lowest in several years, and the Fear and Greed Index at 40. Fewer participants usually means less resting liquidity, and less resting liquidity lets forced buying or selling travel further per dollar.

How to Read Short Covering on the Tape

On Hyperliquid, positions and their liquidation prices are public, so short side clusters can be mapped instead of guessed. If ETH or BTC push higher with aggressive buying, the first sign of covering is positive CVD with open interest falling: shorts closing are buyers, and their exits reduce open interest. A rise in open interest on the same move means new longs, which is a weaker and more reversible signal.

The opposite case is also live. If the whale shorts are right and the macro calendar turns against risk, with the next FOMC meeting on October 27 to 28 per The Crypto Times, the losing short book becomes a winning one with no squeeze at all. The ratio alone does not pick a side. The flow does.

What to watch in practice:

  • Whale net exposure over several days, not one snapshot. Short notional falling while price rises is covering.
  • CVD against open interest on BTC and ETH. Rising price, rising CVD and falling open interest is short covering. Rising price on flat CVD is quote driven and fragile.
  • Short liquidation density above the current price. The closer the cluster, the smaller the move needed to start forced buying.

Following the Whale Book on Buildix

The Buildix whale tracker follows the largest Hyperliquid wallets and their open positions, so a covering wave shows up as size leaving the short side while it happens. The ETH pair view puts CVD, open interest and order book imbalance on one screen, which is the combination that separates short covering from fresh demand, and the liquidation map shows where the short side clusters sit relative to price.

A 0.87 ratio with $150 million of red on the short side is not a forecast. It is a measure of how much buying is parked behind a handful of price levels, and whether it arrives depends on what the tape does next.

#Hyperliquid whale long short ratio#hyperliquid#whale tracking#BTC#ETH#short squeeze#liquidations#funding rate#open interest#CVD

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