Hyperliquid Whales Control One-Third of Longs: $1.1B BTC, ETH, SOL, XRP Exposure and PnL Data | Flash News Detail | Blockchain.News
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1/10/2026 2:24:00 AM

Hyperliquid Whales Control One-Third of Longs: $1.1B BTC, ETH, SOL, XRP Exposure and PnL Data

Hyperliquid Whales Control One-Third of Longs: $1.1B BTC, ETH, SOL, XRP Exposure and PnL Data

According to @EmberCN, wallet 0x94d...814 transferred 255 BTC (about $21.77M) to Hyperliquid 22 days ago and sold at $85,378, source: @EmberCN; Hyperdash trader page legacy.hyperdash.com/zh-CN/trader/0x94d3735543ecb3d339064151118644501c933814. The address executed 69 trades over the past 22 days with a 62% win rate for $9.9M profit, source: @EmberCN; Hyperdash trader page legacy.hyperdash.com/zh-CN/trader/0x94d3735543ecb3d339064151118644501c933814. In the last two days, the whale built about $310M in long exposure with roughly $1.4M unrealized loss: 1,699 BTC at $90,801; 33,000 ETH at $3,099; 336,000 SOL at $138.6; and 3.777M XRP at $2.13, source: @EmberCN; Hyperdash trader page legacy.hyperdash.com/zh-CN/trader/0x94d3735543ecb3d339064151118644501c933814. A second whale reportedly holds $788M of longs, and together their $1.1B long exposure equals about one-third of all longs on Hyperliquid, source: @EmberCN. The two whales target similar assets with comparable entry prices, highlighting concentrated long positioning on Hyperliquid, source: @EmberCN.

Source

Analysis

Massive Whale Positions on Hyperliquid Signal Bullish Crypto Sentiment Amid High BTC Prices

In a fascinating display of high-stakes crypto trading, a prominent whale identified as 0x94d...814 has captured market attention by executing a series of bold moves on the Hyperliquid platform. According to blockchain analyst @EmberCN, this trader transferred 255 BTC, valued at approximately $21.77 million, into Hyperliquid 22 days ago and promptly sold them at an average price of $85,378 per BTC. Over the subsequent 22 days, the whale engaged in high-frequency trading, completing 69 trades with an impressive 62% win rate, netting a profit of $9.9 million. This strategic maneuvering highlights the potential rewards of agile trading in volatile crypto markets, where precise entry and exit points can yield substantial gains even amid broader market fluctuations.

Building on this success, the whale has recently pivoted to aggressive long positions, amassing a portfolio worth $310 million across major cryptocurrencies. The holdings include 1,699 BTC opened at $90,801, currently valued at $154 million; 33,000 ETH at an entry price of $3,099, worth $102 million; 336,000 SOL entered at $138.6, totaling $45.83 million; and 3.777 million XRP at $2.13, valued at $7.91 million. Despite these massive longs, the positions are showing a floating loss of $1.4 million as of the latest update on January 10, 2026. Traders monitoring on-chain metrics should note that these positions were initiated in the past two days, correlating with a period of heightened market volatility. For instance, BTC's price action around the $90,000 level suggests a key resistance zone, where a breakout could propel prices toward $95,000, offering leveraged trading opportunities on platforms like Hyperliquid.

Comparing Whale Strategies and Market Implications

Interestingly, this whale's long bets mirror those of another major player holding $788 million in longs with $230 million in capital, according to the same source. Together, their combined positions exceed $1.1 billion, representing about one-third of all long positions on Hyperliquid. This concentration of bullish bets on BTC, ETH, SOL, and XRP indicates strong institutional confidence in an upcoming rally, potentially driven by positive macroeconomic factors such as anticipated interest rate cuts or increased adoption in decentralized finance. From a trading perspective, the entry prices provide critical support levels: BTC at $90,801 acts as a psychological barrier, while ETH's $3,099 could serve as a pivot point for swing trades. On-chain data reveals elevated trading volumes in these pairs, with BTC-USDT seeing over $50 billion in 24-hour volume across major exchanges as of early 2026, underscoring liquidity that supports such large-scale positions without immediate slippage risks.

For retail traders, these whale movements offer actionable insights. The 62% win rate in high-frequency trades demonstrates the efficacy of momentum-based strategies, where indicators like RSI above 60 and MACD crossovers can signal entry points. If BTC holds above $90,000, it might trigger a cascade of longs, pushing SOL toward $150 resistance and XRP beyond $2.20. However, the current $1.4 million floating loss warns of downside risks, especially if global stock markets correlate negatively with crypto sentiment—note how recent Nasdaq dips have influenced ETH prices. Institutional flows, as evidenced by these positions, suggest monitoring ETF inflows for BTC and ETH, which could amplify upward momentum. Overall, this scenario presents trading opportunities in perpetual futures, with potential for 5-10% gains on leveraged longs if support levels hold firm.

Broader Crypto Market Correlations and Trading Opportunities

Zooming out, these developments tie into broader crypto market dynamics, where AI-driven analytics are increasingly used to predict whale behaviors. Tokens like those in the AI sector could see indirect boosts if bullish sentiment spills over, fostering cross-market trades. For stock market correlations, events like tech stock surges often bolster crypto confidence, creating arbitrage plays between Nasdaq futures and ETH pairs. Traders should watch for volume spikes in SOL-USDT, which hit 336,000 units here, as a leading indicator. In summary, while the whale's strategy embodies high-risk, high-reward trading, it underscores the importance of risk management—position sizing no more than 2% per trade and setting stop-losses below entry prices like $90,000 for BTC. As of January 10, 2026, with no immediate reversal signals, these positions could catalyze a market-wide uptrend, rewarding patient bulls.

余烬

@EmberCN

Analyst about On-chain Analysis