Shiba Inu Treat

$0.00246871

+$0.00030267

+13.97%

• Today

Info

Symbol

TREAT

Network

Ethereum

Market Cap

$25M

Total Supply

10B

Circulating Supply

10B

Max Supply

10B

Holders

3,199

Volume (24h)

$105K

+450.03%

Trades (24h)

503

+520.99%

Traders (24h)

+167.65%

About

Meet Treat, the final token in the wildly popular Shiba Inu Ecosystem, designed to give transactional rewards and access to over 30 pieces of advanced technology that serve as the operating system of the Shiba Network State. These cutting-edge innovations include, Defi innovations, a decentralized incubator, AI agentic frameworks, Fully Homomorphic Encryption, and immersive elements within Shiba Inu’s Metaverse, to name just a few. Beyond its role in technology enablement, Treat also serves as a governance token, steering the Shiba Network State’s innovation and marketing strategies. In doing so, it cements Shiba Inu’s status as far more than a meme coin—revealing it as one of the world’s most influential brands and a true technology powerhouse.

Website

Discord

FAQ

The market capitalization of TREAT is $25M as of Jun 1, 2025.

Market capitalization is calculated by multiplying the current price of TREAT by its circulating supply. It reflects the overall value of the token in the market and helps gauge its relative size compared to other cryptocurrencies.

The daily trading volume of TREAT is $105K as of Jun 1, 2025.

Trading volume can fluctuate based on market conditions, investor activity, and overall demand for TREAT.

The total supply of TREAT is 10B.

The circulating supply, which represents the number of TREAT currently available in the market, is 10B as of Jun 1, 2025.

This token has a maximum supply of 10B, meaning no more tokens will be created beyond this limit.

TREAT can be bought and traded on a variety of cryptocurrency platforms, including Phantom!

Pricing information is provided for informational purposes only and is not financial advice. Market data is provided by third parties and Phantom makes no representation as to the accuracy of the information.