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成交额(24h): $132.3078B -24.310%
  • 市值: $3.3762T 3.330%
  • 成交额(24h): $132.3078B -24.310%
  • 恐惧与贪婪指数:
  • 市值: $3.3762T 3.330%
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加密货币新闻

Doge进行38%的反弹,ADA测试AI集成:但是Unstaked的真正AI优势引起了人们的关注!

2025/05/11 02:00

Dogecoin(Doge)以4月份的低点反弹38%的反弹重新恢复了焦点,这推动了潜在的集会到3.94美元。同时,Cardano(ADA)用AI驱动的“面部融化网” Testnet转向头部

Doge进行38%的反弹,ADA测试AI集成:但是Unstaked的真正AI优势引起了人们的关注!

Dogecoin (DOGE) has bounced 38% from its April lows and could be setting up for another surge toward $3.94, while Cardano (ADA) is testing AI integration with its new testnet, the “Face Melting Net.”

Dogecoin(Doge)从四月的低点起了38%的弹跳,可能会为3.94美元的浪费而设置,而Cardano(ADA)正在使用其新的Testnet测试AI集成,即“面部融化网”。

However, another project is already applying autonomous AI agents for real-world use cases, delivering standout performance and earning attention in the crypto market today.

但是,另一个项目已经在现实世界中应用了自主AI代理,在当今的加密市场中提供了出色的性能并引起了人们的关注。

Dogecoin Could Soar 740% From Lows

Dogecoin可以从低点飙升740%

Dogecoin (DOGE) is showing signs of a potential rebound as it rises 38% from its macro support at $0.138. This move has brought DOGE back into the spotlight, with analysts identifying a potential surge toward $3.94.

Dogecoin(Doge)显示出潜在反弹的迹象,因为它的宏支持率上升了38%,至0.138美元。这一举动使Doge重新成为人们关注的焦点,分析师将潜在的激增向3.94美元。

Kevin, a market analyst, has used Fibonacci extensions that align with a golden pocket pattern, an indicator tied to past explosive DOGE rallies, to identify this price target.

市场分析师凯文(Kevin)使用了斐波那契分析师(Fibonacci Extensions),这些扩展与金色的口袋图案保持一致,这是与过去的爆炸性道门集会相关的指标,以确定这个目标目标。

In the short to mid-term, DOGE could also target $1.10 if momentum holds. A log chart analysis also points to a possible 740% upside for DOGE, highlighting the meme coin’s setup.

在短期到中期,如果动量保持,Doge也可以目标1.10美元。日志图表分析还指出了Doge的740%上行空间,突出了Meme Coin的设置。

However, DOGE’s strength lies in social buzz as much as technicals, making it a high-risk, high-reward play.

但是,Doge的力量与技术一样在于社会嗡嗡声,使其成为高风险,高回报的游戏。

Cardano's AI Integration in Testnet

Cardano的AI集成在Testnet中

Cardano (ADA) is experimenting with AI integration in a new testnet called the “Face Melting Net” (FMN). This testnet is designed to test blockchain scalability using thousands of AI agents.

Cardano(ADA)正在尝试在称为“面部融化网”(FMN)的新测试网中进行AI集成。该测试网旨在使用数千种AI代理测试区块链可伸缩性。

The initiative aims to simulate a high-throughput blockchain environment where AI-powered traders rapidly execute orders, testing the limits of Cardano’s network.

该计划旨在模拟高通量区块链环境,在该环境中,AI驱动的交易者迅速执行订单,测试Cardano网络的限制。

Researchers will program and deploy these AI agents to perform tasks like arbitrage, liquidity provision, and smart contract development, flooding the network with data-heavy transactions.

研究人员将对这些AI代理进行编程和部署,以执行套利,流动性提供和智能合同开发等任务,并通过数据繁重的交易淹没网络。

Moreover, developers can deploy DApps in this stressful environment to observe their performance and identify areas for improvement.

此外,开发人员可以在这种压力大的环境中部署DAPP,以观察他们的绩效并确定改进的领域。

However, this setup remains within a testnet. The real test will be translating these AI simulations into live, scalable performance across the main network.

但是,此设置保留在测试网中。实际测试将将这些AI模拟转化为整个主要网络的实时可扩展性能。

Unstaked Brings Real-World AI Utility

未固定的带来了现实世界的AI实用程序

In the crypto market, where projects are vying for attention with promises of AI integration, Unstaked ($UNSD) is already applying autonomous AI agents for real-world use cases.

在加密市场中,项目正在以AI集成的承诺争夺关注,未固定($ unsd)已经在现实世界中应用了自主AI代理。

These agents are built to perform tasks across platforms like Telegram, X, and soon Discord, delivering tangible results and driving community engagement.

这些代理的建造是为了跨电报,X和Soon Discord等平台执行任务,从而提供切实的结果并推动社区参与。

Currently in Stage 6 of its presale, Unstaked is priced at $0.007994 and has already raised over $3.8 million. The token is projected to launch at $0.1819, offering early participants up to 2,700% ROI.

目前,在其预售的第6阶段,未固定的价格为0.007994美元,已经筹集了超过380万美元。该代币预计将以0.1819美元的价格发布,提供高达2,700%ROI的早期参与者。

Token holders have full control over their agents, customizing their behavior and targeting specific tasks. As these agents grow more effective, they generate more on-chain engagement, earning users $UNSD rewards. It’s a self-scaling model where utility drives value.

令牌持有人可以完全控制其代理,定制其行为并针对特定任务。随着这些代理商的效果越来越有效,它们会产生更多的链上参与度,从而赢得了用户$ unsd Rewards。这是一个自我缩放的模型,效用可以驱动价值。

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