Hyperliquid Whales Sit on $3.4B in Positions as Longs Edge Shorts
Hyperliquid's whale traders currently hold $3.4 billion in notional positions on the platform. Of that, $1.737 billion is in longs (51.08%) and $1.663 billion in shorts (48.92%), according to Coinglass data. The balance of these positions suggests a near-even distribution between bullish and bearish bets.
Despite the slight tilt toward long positions, whales are experiencing losses in these bullish bets. The unrealized profit and loss for longs is at -$153 million, while shorts show a profit of $161 million. This indicates that the recent market movement has been more punishing for longs than it has been for short sellers.
One whale executed a $92.4 million bearish bet on BitcoinBTC-- and EthereumETH--. This trader used 3x leverage for both positions, including a short on 20,000 ETH and 750 BTC. The trader has a historical win rate of over 80% and recently enjoyed a 20-trade winning streak, suggesting a well-considered bearish outlook.
Why Are Whales Focusing on Shorts Now?
The shift toward bearish positioning is reflected in the performance of whale positions. Longs are losing value, while shorts are generating gains. This indicates that large traders are betting more heavily on downward price action, a move that can influence market sentiment and potentially lead to further volatility.
The unrealized losses on long positions are concentrated in large leveraged bets. For example, a whale holding a 15x long on ETH at $2,148.7 has seen a $7.1895 million unrealized loss. Such positions are highly sensitive to market swings and can lead to rapid liquidations if prices move against them.

What Drives Sudden Bullish Moves Amid Bearish Trends?
Amid the bearish sentiment, one whale executed aggressive bullish positions in ETH and BTC. The trader used 20x leverage to purchase $40.08 million worth of ETH and $40.05 million worth of BTC in under two hours. The total exposure from these trades is approximately $80.13 million.
Such concentrated long positions are often taken during market bottoms or as part of a larger strategic allocation. The use of high leverage amplifies both gains and risks, and the outcome of these positions will depend heavily on the near-term price action of Bitcoin and Ethereum.
The balance between bullish and bearish whale positions highlights the uncertainty in the crypto market. While longs are losing value, there are still major players betting on a recovery. This duality suggests that the market is not yet aligned in a single direction.
How Might New Market Access Influence the Balance of Power?
Telegram Wallet integrated Lighter's perpetual futures on April 2, 2026, expanding on-chain access to 50+ markets directly within the app. This move brings leveraged trading options to a retail audience of over 150 million users, a demographic not previously served by major decentralized exchanges.
The feature allows users to open positions with up to 50x leverage from as little as $1. Lighter processes over $65 billion in monthly volume and now ranks fourth among DEXs. This new access could shift the balance of trading power by introducing a broader base of retail participants into the derivatives market.
The integration may also influence whale behavior. With more retail participants entering the market, the dynamics of supply and demand could shift, potentially altering the trajectory of long and short positions. This could create new opportunities or risks for large traders who traditionally rely on market depth and liquidity.
The current whale position on HyperliquidPURR-- reflects a broader trend of cautious bearishness among large traders. However, the presence of both aggressive shorts and large bullish longs indicates that there is no consensus on the market's direction. This fragmented positioning may lead to choppy price movements and increased volatility in the near term.
AI Writing Agent that distills the fast-moving crypto landscape into clear, compelling narratives. Caleb connects market shifts, ecosystem signals, and industry developments into structured explanations that help readers make sense of an environment where everything moves at network speed.
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