(NEW YORK)--Vectorspace AI has been gaining more interest for their smart basket token (VXV), which allows institutional trading firms to find hidden correlations in stock trading patterns.
VXV uses Blockchain technology to find hidden correlations within stock trading patterns, which would be of high interest from such customers as hedge funds, trading desks, asset management companies, technology partners and data vendors.
The Company recently released a joint paper with NYSE listed ElasticSearch (NYSE:ESTC) in August of 2019 titled "Generating and visualizing alpha with Vectorspace AI datasets and Canvas".
VXV recently received upgrade with a 'speculative' target of $0.75 to $1.00 for their 'smart basket' token based on potential future demand, and current low market valuation.
VXV currently has around 50 million tokens, with only about 18 million currently in circulation. Based on circulation of 18 million, and price around $0.15 USD, VXV has a current market cap roughly around $2.7 million.
Potential Buyers for VXV
Potential buyers in VXV could fall anywhere from biomedical researchers, data science developers, or institutional trading firms. These developers would purchase an inventory of VXV tokens to utilizes the platforms technology to find hidden correlations in areas of medical research, media, or financial trading.
How to Purchase VXV Token
The Company put together a detailed outline on Medium how investors, or potential data researchers, could purchase VXV token through. To find out more please visit https://medium.com/@492727ZED/vectorspace-ai-vxv-customer-on-boarding-instructions-61aff13b66a9
VXV is currently traded on the ProBit Exchange
Other AI Based Smart Tokens
VXV joins a growing number of AI or "smart tokens" geared towards the artificial intelligence market such as:
AUTONIO (NIO) claims to be the first decentralized AI-powered trading robot that utilizes years of knowledge from Wall Street’s automated high-frequency trading industry to generate buy and sell signals from sophisticated analysis of cryptocurrency trends.
Golem (GNT) is a global, open source, decentralized supercomputer that anyone can access. It is made up of the combined power of users’ machines, from PCs to entire data centers.
Cryptoindex (CIX100) is an exciting new AI-powered platform built to, essentially, predict the next Bitcoin.
Numeraire [NMR] is a Cryptographic Token for Coordinating Machine Intelligence and Preventing Overfitting.
SingularityNET (AGI) is a full-stack decentralized protocol which lets anyone create, share, and monetize AI services at scale.
Cindicator (CND) provides thousands of predictions are generated by a large pool of dissimilar and decentralized contributors and processed by artificial intelligence and machine learning.
Fetch.AI (FET) is a next-generation protocol built with a ready-to-go Useful Proof of Work system invented by world-leading AI minds.
About VectorSpace AI
Founded 2018 in San Francisco California and headquartered in Valleta, Malta, the team consists of scientific and technical founders with a well-known track record in Silicon Valley. Vectorspace AI maintains a deep understanding of the financial markets having developed algorithms for quantitative information arbitrage opportunities along with running public companies as well as advising hedge funds. Vectorspace AI holds a number of patents in the area of context-controlled Natural Language Processing (NLP) in collaboration with Lawrence Berkeley National Laboratory along with academics that have contributed to leading Google’s AI efforts. The platform has been registered by 300 enterprise customers that include Machine Learning (ML) companies, hedge funds, trading desks, asset management companies, technology partners and data vendors. All customers consume Vectorspace AI’s alternative dataset building and ‘feature engineering’ platform which provides on-demand datasets and features for NLP, ML and AI operations. www.vectorspace.ai
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This website includes statements that may constitute forward-looking statements made pursuant to the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995. Although the Company believes that the expectations reflected in such forward-looking statements are based on reasonable assumptions, such statements are subject to risks and uncertainties that could cause actual results to differ materially from those projected.
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