ETH Whale Alert: $36.34M Long Closed With $336K Profit, New $25.97M ETH Long Opened at $3,467.75 Entry, Now -$370K Unrealized Loss — On-chain Data | Flash News Detail | Blockchain.News
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11/13/2025 3:22:00 PM

ETH Whale Alert: $36.34M Long Closed With $336K Profit, New $25.97M ETH Long Opened at $3,467.75 Entry, Now -$370K Unrealized Loss — On-chain Data

ETH Whale Alert: $36.34M Long Closed With $336K Profit, New $25.97M ETH Long Opened at $3,467.75 Entry, Now -$370K Unrealized Loss — On-chain Data

According to @ai_9684xtpa, wallet address 0x93c...C5a5e closed a $36.34M ETH long about 8 hours ago with $336K realized profit, based on the shared on-chain tracking details (source: @ai_9684xtpa; hyperbot.network). According to @ai_9684xtpa, a new address subsequently opened another ETH long about 2 hours later with $5.665M margin, size 7,595.25 ETH (about $25.97M), and an entry price of $3,467.75 (source: @ai_9684xtpa; hyperbot.network). According to @ai_9684xtpa, the new position is currently showing roughly $370K in unrealized loss at the time of reporting, with the tracker link provided as hyperbot.network/trader/0x95815F5bfF16EB361Dab6AD6a5535698114a0605 (source: @ai_9684xtpa; hyperbot.network). According to @ai_9684xtpa, these whale-sized ETH long flows and the cited $3,467.75 entry level are key reference points for intraday monitoring of position pressure and risk management (source: @ai_9684xtpa; hyperbot.network).

Source

Analysis

In the ever-volatile world of cryptocurrency trading, a mysterious Ethereum whale has caught the attention of market watchers with a peculiar strategy that some are calling 'hit and run' or '打一枪换一炮' in trading slang. According to a recent post by crypto analyst Ai 姨 on X (formerly Twitter), a wallet address starting with 0x93c...C5a5e closed a massive $36.34 million ETH long position just eight hours ago, locking in a tidy profit of $336,000. But instead of cashing out or sitting on the sidelines, the trader switched to a new address only two hours later to open another substantial ETH long position. This move has sparked speculation about advanced trading tactics, possibly involving tax strategies, privacy measures, or even mystical 'xuanxue' elements as the analyst humorously noted. With Ethereum's price action remaining unpredictable, this behavior highlights the high-stakes game played by large holders in the crypto markets, where quick pivots can mean the difference between gains and losses.

Ethereum Whale's Trading Maneuver: Breaking Down the Numbers

Diving deeper into the specifics, the new position involves a margin of $5.665 million, backing a holding of 7,595.25 ETH valued at approximately $25.97 million at the opening price of $3,467.75 per ETH. As of the latest update from Ai 姨's post on November 13, 2025, this position is already showing a floating loss of $370,000, underscoring the risks inherent in leveraged trading on platforms like those tracked by hyperbot.network. Traders monitoring on-chain data via tools like this can see how such whales influence market liquidity and sentiment. For instance, closing the initial position likely contributed to short-term selling pressure on ETH, while the new long could be a bet on an impending rebound, perhaps tied to broader market catalysts like upcoming Ethereum network upgrades or macroeconomic shifts. In terms of trading opportunities, this pattern suggests watching for support levels around $3,400, where ETH has historically bounced, and resistance at $3,500, which could signal a breakout if volume spikes. Ethereum's 24-hour trading volume across major exchanges often correlates with such whale activities, potentially driving increased volatility that savvy day traders can capitalize on with tight stop-losses.

Market Implications and Cross-Asset Correlations

From a broader perspective, this whale's actions reflect growing institutional interest in Ethereum, especially as it intersects with stock market trends. For crypto traders, analyzing correlations with indices like the S&P 500 or tech-heavy Nasdaq can provide edges; for example, if AI-driven stocks rally due to advancements in machine learning, it often boosts sentiment for AI-related tokens and, by extension, Ethereum as the backbone for many DeFi projects. Without real-time data at this moment, historical patterns show that ETH price movements frequently mirror Bitcoin's, with a correlation coefficient often above 0.9. Traders should monitor on-chain metrics such as gas fees and transaction volumes, which surged during similar whale activities in past bull runs. This event also ties into discussions on market manipulation risks, where large positions can sway prices, creating opportunities for arbitrage across ETH/USD and ETH/BTC pairs. Institutional flows, as reported by various blockchain analytics, indicate that funds are increasingly allocating to ETH for its smart contract utility, potentially setting up for a rally if global risk appetite improves.

For those eyeing trading strategies, consider the whale's approach as a lesson in position management: closing profitable trades and reopening with fresh addresses might mitigate tracking or regulatory scrutiny, a tactic seen in high-frequency trading circles. Current market sentiment leans cautiously optimistic, with Ethereum's market cap hovering in the trillions, but floating losses like this remind us of downside risks. Support from recent lows around $3,200 could hold if buying pressure builds, while a break below might target $3,000. Volume analysis shows that spikes above 10 billion in daily ETH trades often precede major moves, making this an ideal time for scalpers to watch 15-minute charts for RSI divergences. In the context of AI integration in trading bots, such maneuvers could be algorithmically driven, enhancing efficiency in spotting entry points. Overall, this story underscores Ethereum's role in the evolving crypto landscape, offering traders actionable insights into whale behaviors that could influence short-term price action and long-term trends.

Trading Opportunities in Volatile ETH Markets

Looking ahead, Ethereum traders might explore options strategies around these levels, such as buying calls if ETH reclaims $3,500, or protective puts to hedge against further dips. The integration of real-time on-chain data with traditional technical analysis tools can uncover hidden gems, like increased wallet activity signaling accumulation phases. Broader implications extend to stock markets, where correlations with AI stocks—think Nvidia or Microsoft—could amplify ETH's upside if tech earnings beat expectations. Institutional investors are pouring into crypto ETFs, with ETH spot products gaining traction, potentially driving inflows that counteract current floating losses. For retail traders, focusing on pairs like ETH/USDT on exchanges with high liquidity minimizes slippage during volatile swings. Remember, while this whale's play adds intrigue, disciplined risk management is key—never risk more than 1-2% per trade. As Ethereum continues to mature, events like this provide fertile ground for informed trading decisions, blending on-chain forensics with market psychology for optimal outcomes.

Ai 姨

@ai_9684xtpa

Ai 姨 is a Web3 content creator blending crypto insights with anime references