Prezzo Quack AI
QRank 904
Quack AI (Q) Grafico dei prezzi in tempo reale
Quack AI (Q) prezzo oggi è $0.008826, con un volume di scambi in 24 ore di $2.26M e come tale Quack AI (Q) ha una capitalizzazione di mercato di $14.26M, dandogli una dominance di mercato di 0.0036%. Il prezzo di Quack AI (Q) ha registrato un -28.86% nelle ultime 24 ore.
Q Dati sui prezzi
- 24h Turnover$2.26M
- Massimo storico(ATH)$0.0532
- Massimo 24h$0.01858
- Il minimo storico(ATL)$0.002
- Minimo 24h$0.00459
Q Informazioni sulla capitalizzazione di mercato
- Cap. di mercato$14.26M
- Valutazione completamente diluita$88.26M
- Cap. di mercato/FDV16.16%
- Sentimento del mercatoNegativo
Q Offerta
- Fornitura in circolazione1.61B Q
- Fornitura totale10B Q
- Fornitura massima10B Q
*I dati sono solo di riferimento
Si prevede che Quack AI (Q) avrà una media di $0.008747 in 2026, con una potenziale oscillazione tra il prezzo più basso $0.006122 e il prezzo più alto $0.01128. Entro 2031, il prezzo di Quack AI(Q) potrebbe raggiungere il $0.0254, offrendo un potenziale rendimento +104.00% rispetto al prezzo Quack AI odierno.
Anno | Prezzo minimo | Prezzo più alto | Average price | Modifica |
|---|---|---|---|---|
2026 | $0.006122 | $0.01128 | $0.008747 | -- |
2027 | $0.007211 | $0.01412 | $0.01001 | +13.00% |
2028 | $0.01001 | $0.01448 | $0.01206 | +37.00% |
2029 | $0.01181 | $0.01765 | $0.01327 | +50.00% |
2030 | $0.01098 | $0.02056 | $0.01546 | +75.00% |
2031 | $0.01008 | $0.0254 | $0.01801 | +104.00% |
Quack AI(Q) il prezzo è aumentato di -28.86% nelle ultime 24 ore e di -33.78% negli ultimi 7 giorni. Il prezzo di Quack AI(Q) è -58.95% negli ultimi 30 giorni, e -- nell'ultimo anno.
Periodo di tempo | Importo residuo | Variazione % |
|---|---|---|
1H | -$0.00006132 | -0.69% |
24H | -$0.00358 | -28.86% |
7D | -$0.004502 | -33.78% |
30D | -$0.01267 | -58.95% |
1Y | +$0 | -- |
A proposito di Quack AI (Q)
Contratto
0xc07e130...77e690589
Explorer
bscscan.com
Sito Web
quackai.ai
Notizie
Tag
QuackAI is the AI-native governance layer for Web3. It turns fragmented governance into an automated, auditable workflow—ingesting on-/off-chain data, drafting and refining proposals, analyzing impact.
For DAOs and RWA projects, QuackAI delivers transparent, compliant, and scalable decision-making. With multi-chain support (e.g., BNB Chain, Arbitrum, Base, Linea, Polygon), policy controls, and automation for voting, delegation, and treasury actions, communities can govern faster, safer, and at scale.
- Block Chain ReporterQuack AI announced today that its signature-based execution layer, Q402, is now live on the Avalanche C-Chain, a move the startup says will make agent-driven applications feel native on one of the fastest L1 ecosystems. In a post on X, the team framed the deployment as a milestone for “verifiable, p
- Block Chain ReporterB2 Network is partnering with Quack AI to enhance Bitcoin's usability for AI-driven transactions. This integration aims to streamline real economy settlements through AI agents while ensuring privacy and security in automated decision-making.
- Block Chain ReporterQuack AI has partnered with AlterEgo to enhance on-chain insights through AI automation, benefiting traders and builders. This collaboration streamlines processes, reduces manual intervention, and accelerates application creation, fostering innovation in the Web3 space.
- Block Chain ReporterQuack AI has launched x402 BNB, a new payment and governance protocol on BNB Chain that enables seamless, gasless transactions for AI agents and global users. It simplifies crypto transfers using Delegated Execution and Witness Signatures, enhancing scalability and security in the Agent Economy.
- Block Chain ReporterQuack AI partners with Gimo Finance to enhance decentralized AI ecosystems by integrating governance and liquidity layers. This collaboration aims to improve resource management, scalability, and governance in the OG Labs framework, paving the way for sustainable growth in decentralized AI networks.
- Block Chain ReporterQuack AI has partnered with Nanyang Technological University to enhance AI research and governance in Web3. Eight students will receive mentorship, focusing on ethical AI and decentralized solutions, bridging academia and the digital asset industry.
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