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Vectorspace AI (fka VXV) RSS Feed

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Symbol: VXV
Exchange: IDEX https://idex.market/eth/vxv
Site: https://vectorspace.ai 
Circulating supply: 5.5M

Whitepaper: https://vectorspace.ai/assets/Vectorspace_Whitepaper.pdf

Products:

- Trending Smart Basket ETFs https://vectorspace.ai/smart_token_baskets/trending-smart-baskets.html
- Dataset Builder - for financial machine learning experts and quantitative algorithm development - https://vectorspace.ai/recommend/datasets
- QuantBot https://vectorspace.ai/bots/slack
- SumBot https://vectorspace.ai/bots/slack/sumbot
- Crypto-enabled APIs 

Vectorspace AI is a crypto discovery platform enabling dynamically generated “Smart Baskets ETFs”. These are baskets of cryptocurrencies that have known and hidden relationships to global trends, topics, concepts, and headlines. The Vectorspace AI token is a utility token with a full circulatory system designed to enable Smart Basket ETFs to transact data with one another using the token in exchange for minimizing loss and boosting alpha. Subscription and curation services are also transacted using the token, VXV.

Vectorspace AI platform is powered by context-controlled Natural Language Processing (NLP) and facilitated by cryptocurrency transactions. A single trend represented by a concept, keyword, hashtag, URL or news story can represent a network of cryptocurrencies based on their relationship to one another and surrounding context or concepts. This relationship network of cryptocurrencies can represent a tradable token basket or closely related group of cryptocurrencies that have known and hidden symbiotic, parasitic, and sympathetic relationships. They may trade in a group and fluctuate together being impacted negatively or positively by outside events and sentiment.

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.

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The Vectorspace AI platform enables intelligent dynamically generated “token baskets” based on user-selected trends that exist in search, social media and news. The reason we’ve included the word ‘intelligent’ is based on the ability for these baskets to determine for themselves whether or not to include additional cryptocurrencies or components from related baskets that may increase overall returns. Baskets that interact this way with one another will conduct these kinds of transactions between one another using the Vectorspace utility token, VXV which is also required to dynamically generate baskets.

Components within the dynamically generated baskets can be made up of cryptocurrencies along with other new innovations for stores of value in the cryptocurrency space that may arise in the future. Traders, investors and funds can optimize basket returns by applying filters such as technical analysis indicators and custom algorithms. Human researchers and curators of baskets are allocated VXV for their work in this area. The VXV utility token can be used to purchase blocks of dynamic basket generations in addition to subscriptions to higher level features offered by the platform including transacting baskets as trades on exchanges. VXV utility tokens are awarded to creators of top performing baskets which are displayed on a leader board each month.

A growing number of organizations offer the ability to trade a basket or group of cryptocurrencies with a single transaction. Similar to a traditional ETF (Exchange-Traded Fund), “token baskets” as they’re more commonly called, enable a fund or individual investor to spread their risk, diversify and lower volatility while maximizing gains with more safety and stability.

This approach is valuable but incomplete. For example, taking the top 20 best performing cryptocurrencies and placing them in a basket or fund minimizes gains compared to enabling fine-grained custom creation of token baskets.

Which groups of cryptocurrencies are beating the market? Why? What do they have in common? How strong are those relationships? Are those relationships well known and obvious or are they hidden relationships? Are the relationships numerical or nonnumerical based on concepts, context and sentiment or a combination of both?

These are the questions Crypto Discover is designed to answer. Vectorspace AI’s Crypto Discover platform is an advanced cryptocurrency discovery engine that enables a user to automatically generate a token basket or “mini-index fund” made up of cryptocurrencies that are related to trends in news, global and local searches, concepts, context, keywords, hashtags, social media, URLs and other dynamic content.

The process for trading baskets of cryptocurrencies or token baskets is fairly straightforward. The more difficult process is enabling a position trader, swing trader, day trader, long or short term individual investor or fund manager to generate customized token baskets based on any criteria they choose and for long or short positions. Automatic customized generation of token baskets, mini-index token funds or sectors based on any trend, concept, keyword, hashtag, URL or news story with optional filtering represents the future we see for the global cryptocurrency market. This can only be done with advanced Natural Language Processing (NLP), sentiment analysis, variants of deep learning combined with incentivized human curation.
 

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