PEPE

PepeCoin 價格 
PEPE

NT$0.0...08344
  

1.89% (1天)

圖表:PepeCoin 到 TWD

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PepeCoin 統計
市值
 

0.00%

NT$2,096,658
#7294
交易量(24小時)
 

62.82%

NT$2,513
#6993
交易量/市值 (24 小時)
 
0.12%
自行通報的流通供給量
 
251,269,305,793,031 PEPE
59.73%
總供給量
 
420,690,000,000,000 PEPE
最大供給量
 
420,690,000,000,000 PEPE
完全稀釋後市值
 
NT$3,510,349
轉換器:PEPE 到 TWD
PEPE
TWD
價格表現
24小時 
最低價
NT$0.0...08189
最高價
NT$0.0...08344
歷史高點
May 25, 2023 (a year ago)
NT$0.0...00721
-88.43%
歷史低點
Aug 21, 2023 (8 months ago)
NT$0.0...01449
+475.97%
檢視過往資料
人氣
在觀察名單內11,031x
2168th / 9.9K
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PepeCoin community

 
 
 
 
 
 
 
 
 
 
skeleton-white

PepeCoin 市場

所有交易對

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PepeCoin 則新聞

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

關於PepeCoin

Pepecoin is a crypto project designed with three major utilities to drive its ecosystem: Pepe GPT, Pepe AI, and Pepe Scanner. Each of these elements provides unique functionality, adding immense value to users while enhancing the integrity and versatility of the decentralized network. Notably, the combination of these three innovative utilities characterizes Pepecoin as a platform that intertwines advanced artificial intelligence with blockchain technology.

One key component of the Pepecoin ecosystem, the Pepe Scanner, offers a user-friendly solution to identify common fraudulent activities within decentralized finance such as rug pulls and honeypots. By simply inputting the token contract address into the Pepe Scanner, users can gain immediate access to a comprehensive risk report, contract audit, and other crucial data. This tool increases transparency and reduces the risks associated with participating in decentralized financial systems.

Pepe GPT and Pepe AI represent the AI-driven aspects of the Pepecoin ecosystem. The Pepe GPT, standing for Generative Pre-trained Transformers, employs a type of neural network model built on the transformer architecture, widely recognized for advancing generative AI applications such as ChatGPT. On the other hand, Pepe AI leverages the power of diffusion models, underpinned by mathematical principles such as Gaussian fundamentals, variance, differential equations, and generative sequences. The diffusion models reshape the way complex generative AI tasks are approached, thereby directing the future trajectory of technological advancements.