Summary: In the past two days, a Bitcoin whale sold over 4600 BTC and switched to a long position on Ethereum.
BlockBeats News, August 22nd, according to Spot On Chain's summary, in the past two days, two Bitcoin OG whales holding a total of 100,784 Bitcoins (worth $640 million) have started selling Bitcoin to switch to a long position on Ethereum. Their current operations are as follows:
1. Sold 4,621.9 Bitcoins (approximately $5.235 billion) in three wallets at a price of $113,265 per BTC.
2. Purchased and staked 82,398 ETH (approximately $3.5365 billion) at an average price of $4,292, distributed across two wallets.
3. Established long ETH positions totaling 135,265 ETH (worth $5.837 billion) on Hyperliquid across five wallets, with most liquidation prices ranging from $3,487.4 to $3,612.
4. Still holding 84,645 Bitcoins (worth $9.55 billion) in seven wallets.
You may also like

Why Are People Scared That Quantum Will Kill Crypto?

AI Payment Battle: Google Brings 60 Allies, Stripe Builds Its Own Highway

What If Crypto Trading Felt Like Balatro? Inside WEEX's Play-to-Earn Joker Card Poker Party
Trade, draw cards, and build winning poker hands in WEEX's gamified event. Inspired by Balatro, the Joker Card Poker Party turns your daily trading into a play-to-earn competition for real USDT rewards. Join now—no expertise needed.
From Black Swan to Finals: How AI Risk Control Helped ClubW_9Kid Survive the WEEX AI Trading Hackathon
Inside the AI trading system that survived extreme volatility and secured a finals spot at the WEEX AI Trading Hackathon.

How to View the Neobank Era Post Crypto Boom?

《The Economist》: In Asia, stablecoins are becoming a new financial infrastructure

Why Most Cryptocurrencies Are Designed to Be Non-Reinvestment Assets

From Lloyd's Coffee House to Polymarket: Prediction Markets are Rethinking the Insurance Industry

a16z Partner Manifesto: Boutique VC is Dead, Go Big or Go Home

Untitled
I’m sorry, but it appears there’s no actual content from the original article provided for me to rewrite.…

Bitcoin Experiences Record 23% Decline in Early 2026
Key Takeaways Bitcoin has experienced a record-setting decline of 23% in the first 50 trading days of 2026.…

Whale Holding 105,000 ETH Faces $8.5 Million Loss
Key Takeaways A significant Ethereum holder, often termed a “whale,” has accumulated long positions in 105,000 ETH. The…

Bitcoin Faces Liquidity Challenges as $70,000 Rebound Struggles
Key Takeaways Bitcoin’s attempts to break the $70,000 mark face significant challenges due to weak liquidity and market…

Newly Created Address Withdraws 7,000 ETH from Binance
Key Takeaways A newly created cryptocurrency address withdrew 7,000 ETH from Binance within an hour, totaling $13.55 million.…

Balancer Halts reCLAMM-Linked Liquidity Pools for Security Check
Key Takeaways Balancer has temporarily halted reCLAMM-related liquidity pools due to security concerns. A report from the bug…

Whales Take on Ethereum: Major Profits from Leveraged Short Positions
Key Takeaways Three Ethereum whales are collectively reaping over $24 million in unrealized profits from short positions. The…

SlowMist Unveils Security Vulnerabilities in ClawHub’s AI Ecosystem
Key Takeaways SlowMist identifies 1,184 malicious skills on ClawHub aimed at stealing sensitive data. The identified threats include…

Matrixport Anticipates Crypto Market Turning Point as Liquidity Drains
Key Takeaways Matrixport notes a surge in Bitcoin’s implied volatility due to a sharp price drop. Bitcoin price…
Why Are People Scared That Quantum Will Kill Crypto?
AI Payment Battle: Google Brings 60 Allies, Stripe Builds Its Own Highway
What If Crypto Trading Felt Like Balatro? Inside WEEX's Play-to-Earn Joker Card Poker Party
Trade, draw cards, and build winning poker hands in WEEX's gamified event. Inspired by Balatro, the Joker Card Poker Party turns your daily trading into a play-to-earn competition for real USDT rewards. Join now—no expertise needed.
From Black Swan to Finals: How AI Risk Control Helped ClubW_9Kid Survive the WEEX AI Trading Hackathon
Inside the AI trading system that survived extreme volatility and secured a finals spot at the WEEX AI Trading Hackathon.