pwshub.com

Bitcoin Whale Holding Satoshi-Era Stash Moves More Coins to Kraken

The whales are on the move again. 

Data from blockchain firm Arkham Intelligence showed Monday that an “ancient whale” holding Bitcoin for 15 years has moved another chunk of their huge holdings to American crypto exchange Kraken. 

Arkham has been tracking the whale for some time now. At the start of the month, the investor, who got their hands on the Bitcoin in 2009, moved coins worth nearly $3.6 million to Kraken. 

𝗔𝗡𝗖𝗜𝗘𝗡𝗧 𝟮𝟬𝟬𝟵 𝗪𝗛𝗔𝗟𝗘 𝗡𝗢𝗪 𝗦𝗢𝗟𝗗 $𝟱.𝟰𝟳𝗠 𝗕𝗧𝗖

The ancient Bitcoin whale we’ve been tracking, who mined BTC 5 days after Bitcoin’s first block (13th January 2009), has just moved another $630K BTC to Kraken - totalling $5.47M in the past 2 months.

This… pic.twitter.com/kjKx34Ib6B

— Arkham (@ArkhamIntel) October 14, 2024

This time, they moved $630,000 in the “digital gold” to the exchange. 

The whale holds a total of 1,139.2 Bitcoin—today priced at $74.5 million. In total, the holder has moved $5.47 million in the past two months to the exchange, Arkham said. 

This whale received the coins during the “Satoshi era” of Bitcoin—when the network went live in 2009 after the pseudonymous creator of the cryptocurrency Satoshi Nakamoto mined the first block. This particular user mined Bitcoin just five days after the network went live.

Bitcoin whales are investors who hoard huge amounts of Bitcoin (at least 1,000 BTC, or $67 million worth at today’s price) and don’t touch it for years. 

Such investors make large gains as a result—although whales are more likely to be companies and institutional holders rather than individuals. 

When whales make moves, the price of Bitcoin can drop because industry observers, traders and investors think that a big sale is coming. And when a big sale happens, downwards pressure is put on the asset’s price. In this case, given the small size of the move, the transaction is more noteworthy for the age of the coins than the value.

Edited by Andrew Hayward

Daily Debrief Newsletter

Start every day with the top news stories right now, plus original features, a podcast, videos and more.

Source: decrypt.co

Related stories
1 week ago - A Bitcoin whale is moving his ancient stash again: Over $3.5 million in coins held since 2009 has been moved to Kraken, data shows.
1 month ago - An interview with Craig Raw, creator of the popular Sparrow Wallet, on Bitcoin privacy best practices and pain as a teacher. From "The Privacy Issue".
3 weeks ago - Just like last week, another miner from Bitcoin’s earliest days has come back to life—and this one might be selling off their coins.
1 week ago - A Satoshi-era bitcoin whale transferred $3.6M in BTC to Kraken after 15 years of dormancy, following another whale's $16M move days earlier. The post Bitcoin whale transfers $3.6 million to Kraken after 15 years of dormancy appeared first...
1 month ago - According to on-chain data, a dormant Bitcoin (BTC) wallet created over a decade ago has suddenly reawakened, transferring over $1 million worth of BTC to an unknown address. This unexpected yet substantial transaction comes as Bitcoin’s...
Other stories
12 minutes ago - Data shows the Bitcoin market sentiment has nearly turned to extreme greed as the cryptocurrency’s price has rallied to the $68,000 mark. Bitcoin Fear & Greed Index Is Currently Inside The Greed Region The “Fear & Greed Index” is an...
21 minutes ago - New data from Tether reveals that the number of people who have adopted the firm’s USDT is now equivalent to the entire population of the United States. In a new blog post, Tether says the largest dollar-pegged digital asset by market cap...
21 minutes ago - Bitwise updates its XRP ETF filing with the SEC, detailing new custody and trading mechanisms to enhance security and efficiency. The post Bitwise updates XRP ETF filing with new S-1 submission appeared first on Crypto Briefing.
48 minutes ago - Meta researchers introduced TPO, a technique that teaches an AI model to essentially "think" about an answer before responding.
48 minutes ago - The agency, which has been utilizing machine learning for years, is now leaning heavily on neural networks to boost prediction accuracy.