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The current real-time price of VECTOR is $0.0{5}4130. In the past 24 hours, VECTOR has traded between $0.0{5}4130 and $0.0{5}4130, showing strong market activity. The all-time high of VECTOR is $0.0008, and the all-time low is $0.0000039.
From a short-term perspective, the price change of VECTOR over the past 1 hour is , over the past 24 hours is +0.14%, and over the past 7 days is --. These figures provide a quick overview of the latest price trends and market dynamics of VECTOR on LBank.-9.53%
The live price of VECTOR today is $0.0{5}4130, with a current market cap of $3,729.851. The 24-hour trading volume is 1.16. The price of VECTOR to USD is updated in real time.
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Before deciding whether to buy or sell VECTOR, you should first consider your own trading strategy. Long-term traders and short-term traders follow different trading approaches. LBank’s VECTOR 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 VECTOR.
How much will VECTOR be worth tomorrow, next week, or next month in ? What about your VECTOR assets in 2025, 2026, 2027, 2028, or even 10 or 20 years from now? Check now! VECTOR Price Prediction
To learn more about VECTOR, consider exploring other resources such as the whitepaper, official website, and other published information:
Top 5 addresses | Holding amount | Holding ratio | |
|---|---|---|---|
ethereum | 0x0a52...80680e  | 774.477M | 77.45% |
ethereum | 0xdba6...c25caf | 28.585M | 2.86% |
ethereum | 0x6986...f344ff | 21.586M | 2.16% |
ethereum | 0x2da6...ece8c7 | 15.632M | 1.56% |
ethereum | 0x7621...82a6a4 | 15.335M | 1.53% |
Other | 144.373M | 14.44% |
Vectorspace AI (VAIX) is an Ethereum-based cryptocurrency token project dedicated to machine learning and financial informatics. It specializes in generating advanced Natural Language Processing (NLP) datasets. These datasets are designed to identify hidden relationships among various assets and events using sophisticated language models, catering to critical industries like finance and space exploration. The project aims to drive data-driven innovation and discovery.
The VAIX token serves multiple essential functions. Primarily, it is used to pay for subscriptions to Vectorspace AI's specialized data services. Beyond payment, holding VAIX tokens in a wallet acts as an API key, granting access to dataset distribution and ensuring data integrity. The token also plays a crucial role in Data Provenance, enabling the tracking and verification of data's lifecycle throughout the platform.
Vectorspace AI was founded by Kasian Franks, an experienced Silicon Valley veteran. He possesses extensive expertise in critical fields such as machine learning, artificial intelligence (AI), natural language processing (NLP), and data science strategies. The project's origins are rooted in the Life Sciences department of Lawrence Berkeley National Laboratory (LBNL), indicating a strong scientific and research foundation for the team.
VAIX tokens are available for acquisition on both centralized and decentralized cryptocurrency trading platforms. Users can find VAIX on reputable centralized crypto exchanges. Additionally, it is tradable on decentralized exchanges like Uniswap, specifically versions V2 and V4, which operate on the Ethereum blockchain, offering multiple avenues for access to the token.
The tokenomics of VAIX include a total supply planned for Fully Diluted Valuation (FDV) of 150 million tokens. Specific details regarding circulating supply and team token lockup periods are important components of its tokenomics model. These aspects are designed to provide transparency and manage the token's availability over time, aligning with the project's long-term development and ecosystem growth.
Vectorspace AI's technology creates high-value correlation matrix datasets that have significant real-world applications. These datasets are vital for researchers across various domains, enabling them to accelerate data-driven innovation and discoveries. The platform is especially impactful in fields requiring extensive data analysis and rapid hypothesis testing, by enabling quicker experimentation and a more efficient research loop, thereby saving valuable time and resources.
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