Crypto whale flips from Bitcoin/ETH shorts to $31.5M MSFT & ORCL longs
On-chain trader “Evaded” ( @ICanPlug ) recently closed Bitcoin and Ethereum shorts, booking about $1.77M profit, then abruptly shifted to stock exposure. The crypto whale opened 10x leveraged longs totaling roughly $31.5M: 41,400 MSFT shares and 56,600 ORCL shares. The move came as BTC and ETH had posted back-to-back losses (BTC down ~4% over 30 days; ETH down more than 11%).
This follows a highly volatile run. In prior weeks, the crypto whale rotated between bullish and bearish bets across crypto derivatives—earning gains on 10x longs in ZEC and HYPE, then reversing to a large BTC short and later adding more leverage around ZEC. The strategy ultimately led to a steep drawdown: after closing a BTC short and a ZEC long, losses exceeded $4.8M, wiping out earlier gains and leaving the trader down about $3.67M over the period.
Key trading stats for traders watching the pattern: after taking profit on BTC/ETH shorts around May 30, the crypto whale’s next action was a rapid flip to high-leverage equity longs (MSFT/ORCL). Analysts note that such large leveraged positions can affect liquidation cascades and near-term sentiment, especially when broader flows to crypto (including ETF-related outflows referenced in the article) remain uncertain.
Neutral
The crypto whale’s latest flip—closing Bitcoin/ETH shorts and opening 10x MSFT and ORCL longs—reduces direct short pressure on BTC/ETH, which can be supportive for prices. However, the trader’s history in the article shows rapid reversals, large swings between leverage levels (10x–40x+), and sizable drawdowns (losses exceeding $4.8M). That pattern usually increases short-term uncertainty rather than creating a sustained directional signal.
In the short term, traders may see a mild bullish drift for BTC/ETH due to the end of the short position, but the impact may be muted because the move is toward equities, not adding new crypto exposure. In the long run, repeated whale rotations like this can contribute to whipsaw volatility—liquidation clusters form when positions flip quickly—yet it does not guarantee a lasting trend.
Compared with prior episodes where whales rapidly close large shorts and later re-enter, the market often overreacts initially, then mean-reverts once other participants’ flows (spot, ETF, and funding rates) dominate. Here, because the article frames the activity as opportunistic rotation, the expected net effect on overall stability is best categorized as neutral.