Crypto Whale’s $775M Long Book in ETH, BTC, SOL Turns Positive by $0.43M as Funding Fees Reach $4.33M | Flash News Detail | Blockchain.News
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1/4/2026 12:23:00 AM

Crypto Whale’s $775M Long Book in ETH, BTC, SOL Turns Positive by $0.43M as Funding Fees Reach $4.33M

Crypto Whale’s $775M Long Book in ETH, BTC, SOL Turns Positive by $0.43M as Funding Fees Reach $4.33M

According to @ai_9684xtpa on X, citing the hyperbot.network trader dashboard, a whale dubbed 1011 flash-crash short insider has seen their 29-day long portfolio flip to an unrealized profit of about $0.434 million, driven mainly by SOL strength. According to the same source, current positions include ETH 203,340.64 at a $3,147.39 entry (unrealized loss $1.238 million, portfolio value ~$617 million), BTC 1,000 at $91,506.7 (unrealized loss $0.356 million, value ~$89.86 million), and SOL 511,000 at $130.1911 (unrealized profit $2.076 million, value ~$66.03 million). According to @ai_9684xtpa and hyperbot.network, cumulative funding fees paid total $4.328 million, implying roughly -$3.894 million net when offsetting the current $0.434 million floating profit (calculation based on the source figures). According to the same source earlier in the day, the account’s total exposure was about $775 million with ETH near 80% weight, as ETH reclaimed $3,000 and the aggregate floating loss narrowed to $22.82 million while funding fees reached $4.126 million. According to @ai_9684xtpa and hyperbot.network, trading takeaways are that SOL outperformance is currently offsetting ETH and BTC drawdowns, the ETH $3,000 level remains a key PnL driver for this concentrated long book, and high perpetual-futures funding costs are materially pressuring returns, as evidenced by the multi-million-dollar funding outlay.

Source

Analysis

In the ever-volatile world of cryptocurrency trading, a prominent whale trader, often referred to as the "1011 flash crash short insider," has once again captured market attention with their long positions held for 29 days. According to insights from crypto analyst @ai_9684xtpa, this trader's portfolio shows a net floating profit of 434,000 USD, primarily driven by strong performance in SOL. This development comes amid fluctuating prices in major cryptocurrencies like BTC, ETH, and SOL, offering traders valuable lessons on position management and market resilience. As we delve into this analysis, we'll explore the specifics of these holdings, their implications for trading strategies, and potential opportunities in the current crypto landscape.

Breaking Down the Whale's Massive Positions in ETH, BTC, and SOL

The core of this trader's portfolio is heavily weighted towards Ethereum, with a staggering 203,340.64 ETH held, valued at approximately 617 million USD. The average entry price stands at 3,147.39 USD per ETH, resulting in a floating loss of 1.238 million USD as of the latest update on January 4, 2026. This position highlights the risks of long-term holds in ETH, especially as the asset battles to maintain key support levels around 3,000 USD. In a related tweet from the same analyst, the trader's ETH holdings were noted to have reduced floating losses to 22.82 million USD when ETH briefly surpassed 3,000 USD, underscoring the asset's sensitivity to price thresholds. For traders eyeing ETH, this whale's persistence suggests monitoring resistance at 3,200 USD and support at 2,900 USD, with on-chain metrics showing increased whale accumulation that could signal a bullish reversal if volumes spike above 10 billion USD in 24-hour trading.

Shifting focus to Bitcoin, the trader maintains a position of 1,000 BTC, valued at 89.86 million USD, with an entry price of 91,506.7 USD per BTC. This has led to a floating loss of 356,000 USD, reflecting BTC's recent consolidation phase. Bitcoin's price movements have been choppy, with the asset struggling to break past 95,000 USD amid broader market sentiment influenced by institutional flows. Trading volumes for BTC have hovered around 50 billion USD daily, and this whale's position illustrates the high stakes of leveraged longs in a market where funding rates can erode profits over time. Notably, the trader has already paid out 4.328 million USD in cumulative funding fees across their positions, a critical reminder for perpetual futures traders to factor in these costs when calculating break-even points.

SOL's Standout Performance and Trading Opportunities

The bright spot in this portfolio is Solana, where the trader holds 511,000 SOL valued at 66.03 million USD, entered at 130.1911 USD per SOL. This has yielded an impressive floating profit of 2.076 million USD, single-handedly offsetting losses in ETH and BTC to deliver the overall net gain. SOL's resilience is evident in its recent price action, with the token surging past 140 USD in spots, driven by robust on-chain activity including over 5 million daily transactions and growing DeFi TVL exceeding 4 billion USD. For crypto traders, this whale's SOL success points to buying opportunities on dips towards 125 USD support, with potential upside targets at 150 USD if trading volumes maintain above 2 billion USD. Correlations with broader market indicators, such as Bitcoin dominance dropping below 55%, could further amplify SOL's gains, making it a prime candidate for swing trades in the altcoin sector.

Overall, this whale's strategy reveals key trading insights: the importance of diversification across assets like BTC, ETH, and SOL, and the impact of funding fees on long-term positions. With total portfolio value at around 775 million USD and ETH comprising 80% of it, market watchers should track ETH's 3,000 USD defense line closely, as a sustained break could trigger cascading effects on altcoins. In terms of broader implications, institutional interest in crypto remains strong, with ETF inflows pushing BTC towards new highs. Traders might consider hedging with options on platforms like Deribit, targeting ETH calls above 3,200 USD or SOL puts below 120 USD for risk management. As always, monitor real-time indicators like RSI levels—currently at 55 for BTC and 60 for SOL— to gauge overbought conditions. This case study not only highlights profitable trading paths but also warns of the perils of high-leverage plays in volatile markets.

Ai 姨

@ai_9684xtpa

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