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MLB Team Washington Nationals Partners With Terra Blockchain Community, Ballpark Plans to Accept UST

On February 9, the American professional baseball team based in Washington, D.C., the Washington Nationals, announced the team has partnered with Terra, the open-source blockchain platform and decentralized autonomous organization (DAO). The Washington Nationals detail that the team is a “leading innovator” and is “consistently introducing new technologies to enhance the fan experience.” Washington Nationals Ink Long-Term Deal With Terra Major League Baseball (MLB) team the Washington Nationals has partnered with the blockchain platform and DAO Terra, according to an announcement published by the team on Wednesday. The deal with Terra follows a slew of sports-related deals with crypto firms, but the MLB team will be the first to partner with an open-source blockchain project. In addition to the partnership, the algorithmic stablecoin UST that’s issued on the Terra blockchain will be “accepted as a payment method at Nationals Park as early as next season.” “The Nationals continue t...

As Bitcoin’s Price Spikes Pods of BTC Whales Begin to Shrink in Size

As Bitcoin's Price Spikes Herds of BTC Whales Begin to Shrink in Size

Recent metrics from a variety of analytical web portals show that the quantity of bitcoin whales has been shrinking in recent times. The data indicates that the leading crypto asset has been distributed quite a bit since the price run-up started.

Pods of Bitcoin Whales Shrink — Addresses With Small Quantities of Bitcoin Catch the Downward Distribution Cycle

Today, data shows that bitcoin whales are shrinking and metrics from bitinfocharts.com’s top 100 richest bitcoin addresses list compared to a whale count article Bitcoin.com News published on May 14, show things have changed. Statistics from Glassnode show that whale-sized addresses with 1,000 BTC+ have dipped to the smallest amount in eight years and ten months ago.

In addition to those two sites that offer onchain whale analytics, whalemap.io also implies a decline in whales (balance ≥ 1k) and a downward distribution cycle. Also, the top 100 richest bitcoin addresses from bitinfocharts.com indicate that on May 13, 2021, there were three whales with 100,000 to 1 million BTC.

As Bitcoin's Price Spikes Pods of BTC Whales Begin to Shrink in Size

There are still just three today, and that number hasn’t changed in quite some time. In terms of addresses holding 10,000 to 100,000 bitcoin, that has reduced since May 13, from 85 to 77 addresses. As far as holders with 1,000 to 10,000 bitcoin, there were approximately 2,078 addresses five months ago and today the count is 2,069.

Trickle-Down Distribution — Bitcoin Whales Offloaded Coins During the 2012 Bull Run

Additionally, addresses with 100 to 1,000 BTC were around 13,989 five months ago and today are 13,987. The bottom threshold of addresses holding 10 to 100 BTC or less has increased a great deal during the last five months.

In recent weeks, all the BTC addresses with less than 1,000 held have swelled. 51.24% of addresses recorded own between 0 to 0.001 BTC, which is 19,716,447 bitcoin addresses. Addresses that hold 0.1 to 1 BTC today equal around 2,437,951 bitcoin addresses and there are 665,893 holders with at least 1 to 10 BTC.

It’s quite possible that while bitcoin (BTC) rose over 25% during the last 30 days, a number of bitcoin whales took some cream off the top by selling. It’s also probable that whales have simply dispersed their bitcoin wealth into more addresses.

The last time BTC whale addresses were this low was the holiday season in 2012 and that followed bitcoin’s first bull run. In the summer of 2012 and into the fall months, BTC tapped a high of $30 per unit, but in December 2012, it was just over $2 per coin. Whale count saw a major downward distribution cycle at that time as well. A whale with 1,000 bitcoin on Sunday evening is worth roughly $62 million.

What do you think about the whale count shrinking? Let us know what you think about this subject in the comments section below.

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