The current real-time price of Q is $0.0213. In the past 24 hours, Q has traded between $0.0148 and $0.0366, showing strong market activity. The all-time high of Q is $0.0524, and the all-time low is $0.0080.
From a short-term perspective, the price change of Q over the past 1 hour is , over the past 24 hours is -0.36%, and over the past 7 days is +16.99%. These figures provide a quick overview of the latest price trends and market dynamics of Q on LBank.+24.73%
The live price of Q today is $0.0213, with a current market cap of $65.379M. The 24-hour trading volume is 47M. The price of Q to USD is updated in real time.
Before deciding whether to buy or sell Q, you should first consider your own trading strategy. Long-term traders and short-term traders follow different trading approaches. LBank’s Q technical analysis can provide you with trading references.
What will the value be? You can use our price prediction tool to conduct short-term and long-term price forecasts for Q.
How much will Q be worth tomorrow, next week, or next month in ? What about your Q assets in 2025, 2026, 2027, 2028, or even 10 or 20 years from now? Check now! Q Price Prediction
To learn more about Q, consider exploring other resources such as the whitepaper, official website, and other published information:
Top 5 addresses | Holding amount | Holding ratio | |
|---|---|---|---|
ethereum | 0x78ac...c2671e  | 2.200B | 44% |
ethereum | 0xd6fb...a24ceb | 1,000.000M | 20% |
ethereum | 0xe9d8...5b5260 | 1,000.000M | 20% |
ethereum | 0xda6f...29d913 | 641.666M | 12.83% |
ethereum | 0xb76c...9c0f0f | 100.000M | 2% |
Other | 58.344M | 1.17% |
Quack AI ($Q) is an innovative decentralized governance infrastructure utilizing AI agents to automate various aspects of DAO decision-making. It enables real-time analysis of proposals, autonomous voting, and efficient execution of decisions across multiple blockchain networks, including Ethereum, TON, Solana, and BNB Chain, streamlining operations for decentralized autonomous organizations.
In Quack AI's "AI Governance" model, users delegate their voting power to specialized AI agents. These intelligent agents are designed to analyze complex DAO proposals, assess potential risks, and execute votes based on pre-defined strategies set by the user. This innovative approach aims to significantly improve voter participation and mitigate the influence of large token holders, fostering a more equitable and efficient decentralized decision-making process.
The $Q token is available for purchase on various leading digital asset platforms. This broad listing provides accessibility for users interested in acquiring $Q and engaging with the Quack AI protocol.
Users can earn rewards in several ways within the Quack AI ecosystem. Staking $Q tokens allows participants to earn rewards with a competitive Annual Percentage Rate (APR). Additionally, the "Chat-to-Earn" mechanism rewards users for interacting with the platform, such as asking questions and training AI agents, earning points convertible into governance certificates. Furthermore, $Q stakers benefit from revenue sharing, receiving a portion of the fees generated from the platform's governance modules and model licensing.
Yes, the Quack AI protocol has successfully completed a comprehensive security audit by CertiK, a leading blockchain security firm. The audit, finalized in September 2025, resulted in a strong security score of approximately 85–87%. The protocol also benefits from continuous real-time monitoring as part of CertiK Skynet, further enhancing its security posture and ensuring ongoing reliability for users.
For 2025-2026, Quack AI's roadmap is centered on advancing its "AI Autonomy Stack." This strategic focus involves developing self-learning AI models capable of optimizing decentralized governance in real-time, thereby increasing efficiency and adaptability. Additionally, the project plans to expand significantly into institutional Real-World Asset (RWA) compliance tools, bridging the gap between traditional finance and decentralized ecosystems by ensuring regulatory adherence and trust.
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