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The current real-time price of WIKI is $0.0{5}6860. In the past 24 hours, WIKI has traded between $0.0{5}6860 and $0.0{5}6860, showing strong market activity. The all-time high of WIKI is $0.0002, and the all-time low is $0.0{5}6540.
From a short-term perspective, the price change of WIKI over the past 1 hour is , over the past 24 hours is --, and over the past 7 days is --. These figures provide a quick overview of the latest price trends and market dynamics of WIKI on LBank.-11.32%
The live price of WIKI today is $0.0{5}6860, with a current market cap of $6,860. The 24-hour trading volume is 8.13. The price of WIKI to USD is updated in real time.
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Before deciding whether to buy or sell WIKI, you should first consider your own trading strategy. Long-term traders and short-term traders follow different trading approaches. LBank’s WIKI 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 WIKI.
How much will WIKI be worth tomorrow, next week, or next month in ? What about your WIKI assets in 2025, 2026, 2027, 2028, or even 10 or 20 years from now? Check now! WIKI Price Prediction
To learn more about WIKI, consider exploring other resources such as the whitepaper, official website, and other published information:
Top 5 addresses | Holding amount | Holding ratio | |
|---|---|---|---|
ethereum | 0xa2c1...46ba03  | 815.245M | 84.46% |
ethereum | 0xa8a8...39c75b | 33.408M | 3.46% |
ethereum | 0x2117...819c6c | 17.984M | 1.86% |
ethereum | 0xbc27...7c0f81 | 11.839M | 1.23% |
ethereum | 0xc599...c4bf2e | 9.393M | 0.97% |
Other | 77.361M | 8.01% |
WikiAgent is an AI-powered ecosystem designed to enhance on-chain trading experiences. It leverages deep search capabilities from advanced AI models, including GPT-4o, Grok 3, DeepSeek, and Gemini, to deliver comprehensive crypto information and analysis. This platform aims to provide users with sophisticated tools for navigating the complex digital asset landscape.
Wiki Agent addresses the increasing difficulty users face in evaluating new tokens due to the rapid growth and complexity of the crypto market. It streamlines the process of gathering vital information from various platforms, helping users assess critical factors like smart contract vulnerabilities, trading metrics, and social sentiment. This initiative aims to prevent retail investors from missing early opportunities by providing timely and thorough analysis.
WikiAgent operates by processing user requests and aggregating real-time data from numerous trusted sources across the Web3 ecosystem. Through its advanced AI models, it synthesizes this vast amount of information. The platform then presents a comprehensive, easy-to-understand overview of any token through a streamlined and intuitive interface, making complex data accessible to all users.
The Wiki Agent ecosystem offers a suite of powerful features and products designed to support on-chain trading. These include AI Analysis for in-depth insights, a dedicated Trading Terminal for executing trades, Wiki Alpha for premium intelligence, USDW as a potential stable asset, and DeFi Agent for decentralized finance interactions. Future plans also encompass a Privacy AMM to further enhance user capabilities.
The WIKI token serves multiple purposes within its ecosystem. Holders can utilize WIKI for arbitrage opportunities due to inherent market dynamics. It can also be lent out or integrated into various "Earn" products to generate returns. Furthermore, staking WIKI grants holders crucial voting power in the protocol's governance, enabling them to influence and shape the future direction of the ecosystem.
Users can earn rewards with WIKI by participating in staking. This involves locking their WIKI tokens within the protocol's smart contracts. In return for staking, participants receive rewards and gain governance rights, contributing to the protocol's decentralized management. Engaging in longer lock periods and actively participating in governance processes can lead to significantly increased reward allocations for stakers.
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