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加密貨幣新聞文章

Shiba INU價格預測:鯨魚移動和層的興起

2025/09/28 21:00

鯨魚活動會加熱chiba inu,但新的模因硬幣層布雷特(Layer Brett)正在用效用和高含量的獎勵引起人們的注意。

Shiba INU價格預測:鯨魚移動和層的興起

The Shiba Inu ecosystem is seeing dramatic shifts as major holders make big moves. But is SHIB still the top dog, or is a new meme coin stealing the spotlight? Let's dive into the latest.

隨著主要持有人做出的重大舉動,志ba INU生態系統正在看到戲劇性的轉變。但是,什葉仍然是頂級狗,還是新的模因硬幣搶了聚光燈?讓我們研究最新。

Shiba Inu Price Prediction: The Whale Effect

Shiba INU價格預測:鯨魚效應

Whales are stirring in the SHIB pool, with some wallets increasing their holdings from 28 billion to a whopping 89 billion tokens. This accumulation has reignited the Shiba Inu price prediction debate, with bulls anticipating a rally. When whales move, volatility follows, and such a large purchase can absorb selling pressure. However, SHIB's already substantial market cap means the potential for exponential gains is limited.

鯨魚在濕池池中攪動,一些錢包將其持有量從280億美元增加到890億個令牌。這種積累重新點燃了什巴INU價格預測的辯論,公牛預計會有集會。當鯨魚移動時,隨後發生了波動,如此大的購買會吸收銷售壓力。但是,Shib已經很大的市值意味著指數增長的潛力是有限的。

The Layer Brett Edge: Utility Meets Hype

Brett Edge層:實用程序遇到炒作

Enter Layer Brett ($LBRETT), a new contender combining meme appeal with Ethereum Layer 2 infrastructure. Unlike SHIB, which relies on hype and token burns, $LBRETT offers immediate, functional utility. This includes a capped supply of 10 billion tokens and staking APY still over 620%, attracting investors seeking high returns.

輸入Layer Brett($ LBRETT),這是一種結合模因吸引力與以太坊第2層基礎架構的新競爭者。與依靠炒作和象徵性燒傷的Shib不同,$ LBRETT提供了立即實用的實用程序。這包括封頂的供應量為100億個令牌和存放APY仍然超過620%,吸引了尋求高回報的投資者。

LBRETT vs. SHIB: A Head-to-Head Comparison

LBRETT vs. SHIB:面對面的比較

Layer Brett tackles SHIB's limitations head-on. While SHIB's massive token supply requires huge capital to move significantly, $LBRETT's limited supply and high staking rewards offer a clearer path to high returns for new investors. For example, analysts are even comparing LBRETT's potential to Cardano (ADA), with supporters suggesting that it may one day hit the same market cap as ADA. While it’s unlikely to replicate ADA’s full valuation overnight, the idea of Layer Brett multiplying many times over isn’t far-fetched when you consider meme coin history. After all, SHIB and DOGE once started as a joke before climbing into the top 20 by market cap.

Brett層直接應對Shib的局限性。儘管Shib的大量代幣供應需要巨大的資本才能大幅度移動,但$ LBRETT的供應有限和高積分獎勵為新投資者提供了更明顯的途徑。例如,分析師甚至將LBRETT的潛力與Cardano(ADA)進行了比較,支持者暗示可能有一天可能與ADA達到了同一市場上限。雖然不太可能在一夜之間複製ADA的完整估值,但是當您考慮Meme Coin歷史記錄時,Brett多次乘以多次的想法並不遙不可及。畢竟,希伯(Shib and Doge)曾經是開玩笑的,然後通過市值進入前20名。

Vitalik Buterin's Meme Coin Purge

Vitalik Buterin的模因硬幣清除

Adding another layer to the meme coin saga, Ethereum creator Vitalik Buterin recently sold off significant amounts of Puppies and ERC20 tokens. Buterin doesn't keep meme tokens in his wallets for long. This action, reminiscent of his past SHIB holdings, serves as a reminder that even indirect links to Ethereum's creator don't guarantee long-term holding.

以太坊創作者Vitalik Buterin在Meme Coin Saga中增加了另一層,最近出售了大量的幼犬和Erc20代幣。 Buterin不會將Meme令牌留在他的錢包裡很長時間。這一行動讓人想起他過去的濕盤持有量,以提醒人們,即使是與以太坊的創造者的間接聯繫也不能保證長期持有。

A New Horizon for High-Risk Returns

高風險回報的新視野

While SHIB's whale activity is noteworthy, the real degen money is flowing into projects with lower market caps and higher growth potential. Layer Brett is positioning itself as a next-gen asset, combining fast, functional Layer 2 scaling with a powerful community model and insane staking returns.

雖然Shib的鯨魚活動值得注意,但真正的Degen資金正在流向具有較低市值和較高增長潛力的項目。 Layer Brett將自己定位為下一代資產,將快速,功能性的第2層縮放與強大的社區模型和瘋狂的靜止回報相結合。

So, is SHIB still a viable investment? Perhaps. But for those chasing the next big meme coin surge, Layer Brett might just be the ticket. After all, who doesn't love a good underdog story?

那麼,Shib仍然是可行的投資嗎?也許。但是對於那些追逐下一個大模因硬幣激增的人來說,布雷特層可能只是門票。畢竟,誰不喜歡一個好的弱者故事?

Discover More About Layer Brett ($LBRETT):

發現有關Layer Brett($ LBRETT)的更多信息:

Presale: LayerBrett | Fast & Rewarding Layer 2 Blockchain

預售:layerbrett |快速和有益的第2層區塊鏈

Telegram: View @layerbrett

電報:查看@layerbrett

X: Layer Brett (@LayerBrett) / X

X:Layer Brett(@layerbrett) / x

原始來源:parameter

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