Partnered With:

An whale deposited $1.69 million worth of BAT into Coinbase and made a $389,000 profit in 2 years

BlockBeats News, January 13th, according to Onchain Lens monitoring, after 2 years of dormancy, a whale deposited 6.99 million BAT tokens worth $1.69 million into Coinbase. The whale received these BAT tokens 2 years ago when they were worth $1.3 million, resulting in a profit of only $389,000 over the 2 years.

Correction/Report

RelatedRecommended

Brave releases BAT Roadmap 2.0: Exploring building Dex based on Layer2, and Brave Wallet integrating Defi and NFT functions

Memoirs of a Coinbase Startup

Data survey: the Coinbase Effect or the Coinbase curse?

A year after Coinbase launched its tokens, 91 percent trailed Ethereum and 70 percent trailed Bitcoin.

Will Coinbase benefit from Binance’s admission of fine?

Coinbase shares hit 18-month high, what will Coinbase face after Binance reaches settlement with U.S. regulators?

Analysis of Coinbase's "pull effect"

Coinbase listing announcements have the greatest positive impact on the asset’s average return.

On-Chain Activity

13min ago

A certain whale has transferred 435,000 SOL, worth approximately $32.96 million, to Binance in the past 5 days.

2h ago

Crypto whales bloodied, '10 big goals first', 48Clublan and Bit-affiliated entities see cumulative asset drawdown exceeding $230 million.

3h ago

A whale is suspected of dumping 592,895 UNI tokens at a loss, with an estimated loss of approximately $1.547 million.

4h ago

HYPE on Hyperliquid saw $60.3 million in liquidations in the past 24 hours, with long positions accounting for 99.7%.

24H Important News

2026-11-15

A certain whale has transferred 435,000 SOL, worth approximately $32.96 million, to Binance in the past 5 days.

Bitcoin's Ahr999 indicator further dropped to 0.3064, marking the ninth consecutive day in the "bottom-fishing zone."

Analysis: The crypto market has shifted from a slow decline to accelerated liquidation, and a rebound may be difficult to sustain amid multiple bearish factors.

Former Anthropic researcher issues another warning: algorithmic progress is accelerating, and training stronger AI may no longer require stacking computing power.

Correction/Report

Submit

Add Library

Visible to myself only

Public

Save

Choose Library

Add Library

Cancel

Finish