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Home»Altcoins»Whale Who Banked $2.27M on APE Opens $3.72M Leveraged LDO Bet
Altcoins

Whale Who Banked $2.27M on APE Opens $3.72M Leveraged LDO Bet

NBTCBy NBTC23/05/2026No Comments3 Mins Read
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A prominent cryptocurrency whale, known for a profitable trade on ApeCoin ($APE), has opened a significant leveraged long position on Lido DAO ($LDO). According to data from on-chain analytics firm Lookonchain, the investor entered a 5x leveraged long position worth approximately $3.72 million, representing 8.69 million $LDO tokens.

From $APE Windfall to $LDO Wager

This same whale previously made headlines by securing a roughly $2.27 million profit in a single day from trading $APE. That success has now been followed by a high-conviction bet on $LDO, though it is not without risk. The investor previously recorded a loss of approximately $194,000 on an earlier $LDO long position, indicating a willingness to double down despite a past setback.

The move highlights the aggressive risk appetite common among large-scale crypto traders, who often use leverage to amplify potential returns. In this case, a 5x multiplier means that a 20% move in $LDO’s price would either double the investment or wipe out the entire position.

Market Context and Implications

Lido DAO is a leading liquid staking protocol for Ethereum, and its governance token, $LDO, has been a focus of interest amid the broader staking ecosystem’s growth. The whale’s entry comes at a time when the crypto market is showing mixed signals, with some traders betting on a recovery and others remaining cautious.

While the whale’s prior loss on $LDO suggests the token’s price action has been volatile, the size of the new position indicates a strong belief in a near-term upside. Lookonchain’s data provides transparency into these large moves, offering retail traders a glimpse into the strategies of major market participants.

Why This Matters to Traders

Whale activity is often watched closely as a potential signal of market direction. However, it is important to note that even sophisticated investors can be wrong. The whale’s mixed track record—profiting on $APE but losing on a previous $LDO trade—serves as a reminder that leverage amplifies both gains and losses.

For readers, this story underscores the importance of risk management and the dangers of following large trades without independent analysis. The crypto market remains highly speculative, and leveraged positions can lead to rapid liquidations.

Conclusion

A whale who turned a $2.27 million profit on $APE has now placed a $3.72 million leveraged bet on $LDO, despite a prior loss on the same token. The trade reflects the high-stakes nature of leveraged crypto trading and offers a data point for those monitoring market sentiment. As always, on-chain data provides transparency, but it does not guarantee future outcomes.

FAQs

Q1: What is a leveraged long position?
A leveraged long position allows a trader to borrow funds to increase their exposure to an asset. In this case, the whale used 5x leverage, meaning they control $3.72 million worth of $LDO with a fraction of that capital. A 20% price increase would double their investment, while a 20% drop would result in a total loss.

Q2: Who is Lookonchain?
Lookonchain is an on-chain analytics platform that tracks and reports large cryptocurrency transactions and wallet activities. It provides transparency into whale movements and is often cited by news outlets for market intelligence.

Q3: Should I copy this whale’s trade?
No. While whale trades can offer insights, they are not a reliable signal for retail investors. This whale has a mixed track record, and leveraged trading carries significant risk. Always conduct your own research and consider your risk tolerance before making any investment decisions.

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NBTC

NBTC is the editorial account for NBTC News, covering Bitcoin, Ethereum, DeFi, blockchain infrastructure, exchanges, mining, regulation and digital asset markets. The editorial team focuses on clear sourcing, timely updates and practical context for crypto readers.

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