📢 Gate Square Exclusive: #WXTM Creative Contest# Is Now Live!
Celebrate CandyDrop Round 59 featuring MinoTari (WXTM) — compete for a 70,000 WXTM prize pool!
🎯 About MinoTari (WXTM)
Tari is a Rust-based blockchain protocol centered around digital assets.
It empowers creators to build new types of digital experiences and narratives.
With Tari, digitally scarce assets—like collectibles or in-game items—unlock new business opportunities for creators.
🎨 Event Period:
Aug 7, 2025, 09:00 – Aug 12, 2025, 16:00 (UTC)
📌 How to Participate:
Post original content on Gate Square related to WXTM or its
Research shows: DOGE reaches record high concentration, with 62% of supply held by the top 50 Addresses.
A recent survey shows that a certain cryptocurrency rating agency has published a research report indicating that the remarks made by a well-known entrepreneur regarding the over-concentration of DOGE have some basis. By comparing the distribution of major crypto assets, researchers found that DOGE is indeed one of the tokens with the highest concentration.
Data shows that over 28% of circulating DOGE is concentrated in a single address, approximately 36.8 billion coins, valued at about 2.1 billion USD at current market prices. Additionally, nearly 50% of DOGE supply is held by the top 20 holders.
The research also compared the concentration of various mainstream Crypto Assets, using the ratio of circulating supply held by the top 50 addresses as the standard:
Analysis indicates that large holders control more than half of the DOGE supply, raising concerns in the market. This not only increases security risks, making it more susceptible to a 51% attack, but it may also lead to severe fluctuations in Token prices. Although large holders currently have no motivation to liquidate, their ability to do so is enough to deter some potential investors.
This research finding provides a new perspective on the concentration issue in the Crypto Assets market and has sparked further discussions within the industry about the fairness of Token distribution.