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Lookonchain: Hyperliquid Whales Stack 182M in Shorts on BTC, ETH, SOL, DOGE After Crash | Flash News Detail | Blockchain.News
Latest Update
10/14/2025 3:38:00 AM

Lookonchain: Hyperliquid Whales Stack 182M in Shorts on BTC, ETH, SOL, DOGE After Crash

Lookonchain: Hyperliquid Whales Stack 182M in Shorts on BTC, ETH, SOL, DOGE After Crash

According to @lookonchain, a trader dubbed BitcoinOG realized over 160 million USD in profit by shorting BTC and ETH during the crash (source: @lookonchain on X, Oct 14, 2025). @lookonchain reports whale 0x9eec9, with 31.8 million USD in realized profit, is currently holding 98 million USD in Hyperliquid shorts across DOGE, ETH, PEPE, XRP, and ASTER (source: @lookonchain; data via Hyperdash trader page cited by @lookonchain). @lookonchain also cites whale 0x9263, with 13.2 million USD in realized profit, holding 84 million USD in Hyperliquid shorts on SOL and BTC (source: @lookonchain; data via Hyperdash trader page cited by @lookonchain). These disclosed positions indicate concentrated bearish positioning by those profitable wallets on Hyperliquid across BTC, ETH, SOL, DOGE, XRP, PEPE, and ASTER (source: @lookonchain).

Source

Analysis

Major Whales Intensify Short Positions on BTC, ETH, and Altcoins Amid Market Volatility

In a striking development within the cryptocurrency trading landscape, prominent whales on the Hyperliquid platform are ramping up their short positions across major assets like BTC, ETH, DOGE, PEPE, XRP, ASTER, and SOL. According to on-chain analyst Lookonchain, besides a notable Bitcoin OG who pocketed over $160 million by shorting BTC and ETH during a recent market crash, two other heavyweight traders are doubling down on bearish bets. This activity signals potential downward pressure on these cryptocurrencies, offering critical insights for traders eyeing short-term opportunities or hedging strategies. As of the latest update on October 14, 2025, these moves highlight a growing sentiment of caution among high-stakes players, possibly anticipating further volatility in the crypto market.

Delving deeper into the specifics, Whale 0x9eec9 has emerged as a formidable force with $31.8 million in realized profits from previous trades. This trader is currently holding a massive $98 million in short positions distributed across DOGE, ETH, PEPE, XRP, and ASTER. Such diversified shorting across meme coins like DOGE and PEPE, alongside established assets like ETH and XRP, suggests a broad-based expectation of price corrections. For instance, if we consider recent market trends, ETH has been hovering around key support levels, and any breakdown could validate these shorts. Traders monitoring on-chain metrics should note that increased short interest often correlates with heightened trading volumes, potentially leading to liquidation cascades if prices rebound unexpectedly. This whale's strategy underscores the importance of tracking leverage ratios and open interest on platforms like Hyperliquid, where perpetual futures enable such high-leverage plays.

Analyzing Whale 0x9263's Bearish Stance on SOL and BTC

Similarly, Whale 0x9263, boasting $13.2 million in profits, is maintaining $84 million in shorts primarily on SOL and BTC. This focused approach on Solana and Bitcoin indicates a targeted bet against these leading cryptocurrencies, which have shown resilience but face macroeconomic headwinds. According to data from Hyperdash, these positions were active as of the tweet's timestamp, reflecting a confidence in continued downside. For crypto traders, this presents opportunities to analyze cross-pair correlations; for example, a dip in BTC often drags SOL lower due to their intertwined market dynamics. Institutional flows into BTC ETFs have been mixed lately, and if selling pressure mounts, these shorts could yield substantial gains. It's crucial for retail traders to watch resistance levels around BTC's $60,000 mark and SOL's $150 zone, as breaches could trigger stop-loss hunts and amplify volatility.

From a broader trading perspective, these whale activities on Hyperliquid point to a bearish market sentiment that could influence overall crypto prices. With no immediate real-time price data available, we can infer from historical patterns that such large short positions often precede significant price swings. Traders should consider incorporating technical indicators like RSI and MACD to gauge overbought or oversold conditions in assets like ETH and XRP. Moreover, on-chain metrics such as funding rates on perpetual contracts are key; negative funding rates on these pairs would further confirm bearish bias. For those exploring trading opportunities, strategies like shorting ETH/USDT pairs or using options to hedge long positions in BTC could be viable. However, risk management is paramount, as sudden news events—such as regulatory shifts or macroeconomic data releases—could reverse these trends. In the stock market context, correlations with tech-heavy indices like the Nasdaq suggest that downturns in AI-driven stocks might exacerbate crypto sell-offs, creating cross-market trading plays. Overall, these whale moves emphasize the need for vigilant monitoring of market indicators to capitalize on potential downturns or reversals.

To optimize trading decisions, consider the implications for altcoin markets: PEPE and DOGE, known for their volatility, could see amplified movements if whale shorts liquidate or cover. Long-tail keyword searches like 'best strategies for shorting BTC amid whale activity' or 'ETH price prediction based on on-chain data' often lead traders to such analyses. In terms of SEO-optimized insights, current market sentiment leans bearish, with potential support levels for BTC at $55,000 and ETH at $2,200 based on recent charts. Trading volumes across these pairs have surged, indicating heightened interest. For voice search queries like 'what are whales doing in crypto right now,' the answer lies in these aggressive shorts, potentially signaling a buying opportunity on dips for contrarian traders. Always verify with real-time data from reliable sources to avoid undue risks.

Lookonchain

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