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VXV Community FAQ
latest

 * Overview
 * Tokenomics
 * Exchanges and Tracking Tools
 * Technology
   * What does Vectorspace AI offer, in layman’s terms?
   * Why is the code not open source?
   * What are Smart Baskets?
   * How are Smart Baskets generated?
   * Will the Smart Baskets be available to the public as well as institutions?
   * Smart Baskets is a known term within the trading community. Would it be a
     good marketing move to rename Vectorspace AI’s Smart Baskets to a term with
     exclusivity to Vectorspace AI?
   * I read that the Smart Baskets will be exclusively developed for LCX. Is
     this a good strategy?
   * Does Vectorspace AI test the Smart Baskets with a high variance in position
     size?
   * What is the upper limit of position sizes that Vectorspace AI
     tested/back-tested?
   * In an unfiltered basket do the stock ticker symbols come up in any specific
     order, i.e., from best option to worst or vice versa? In other words, would
     the best one shows up 1st in line?
   * Long baskets were discarded due to COVID-19 making it not viable, but we
     are currently seeing retail investors making a killing with Robinhood
     buying bankrupt companies. Would this new environment make long baskets not
     far more attractive than short baskets?
   * Is there a way to test the Smart Baskets generation?
 * Financials
 * Onboarding and Subscriptions
 * Partnerships, Customers, and M&As
 * Investment Club
 * Useful Educational Links

VXV Community FAQ
 * »
 * Technology
 * Edit on GitHub

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TECHNOLOGY¶


WHAT DOES VECTORSPACE AI OFFER, IN LAYMAN’S TERMS?¶

Vectorspace AI’s algorithms look at data and find hidden similarities which can
be applied to many types of businesses. We algorithmically generate millions of
dataset permutations in real-time. These datasets are the ‘gasoline’ used to
power unsupervised learning approaches in AI/ML. Specifically, they are used to:

 1. make money, a.k.a. generate or protect alpha on the long and short side with
    traditionals and cryptos. For instance, hedge funds would use it to monitor
    stock prices - if Vectorspace AI finds that when X stock price rises/falls,
    Y and Z also fall. The fund manager can then react before that happens to
    avoid losing money.

“Dexamethasone Announcement Could Have Made Hedge Funds A Fortune”
https://www.alpha-week.com/dexamethasone-announcement-could-have-made-hedge-funds-fortune

“Generating Alpha from Information Arbitrage in the Financial Markets with NLP
Datasets: 水涨船高”
https://medium.com/hackernoon/profiting-from-information-arbitrage-in-the-financial-markets-3abfca9806d8

 2. increase the speed of innovation, novel scientific breakthroughs and enable
    scientific discoveries. Similarly, for a pharmaceutical company, Vectorspace
    AI could identify hidden and non-hidden relationships between the effects of
    drug compounds on certain conditions. In other words, Information that shows
    drug X, which is used to treat a condition, actually has benefited many
    patients with different conditions - or just as importantly, has a poor
    outcome for patients with certain conditions. In effect the “Smart Baskets”
    give companies a huge early advantage (known as information arbitrage or
    alpha).

“COVID-19 Drug Repurposing Datasets Now Available in Collaboration with
Vectorspace AI, Amazon & Microsoft”
https://www.prnewswire.com/news-releases/covid-19-drug-repurposing-datasets-now-available-in-collaboration-with-vectorspace-ai-amazon–microsoft-301030507.html

COVID-19 Dataset Builder: https://vectorspace.ai/covid19.html

Vectorspace AI services more than just the financial vertical defined by cryptos
and traditional market vehicles. Our platform has applications in almost all
industry verticals.


WHY IS THE CODE NOT OPEN SOURCE?¶

Github is private to protect algorithms and code. We have been software
engineers since we have been kids in the 80’s. We are not going to allow other
organizations pretend they are auditing our code while also paying them tons of
ETH. That is one reason.

From our CEO: “I have dealt with my fair share of outside auditors while running
a public company. I have also been through a few major software audits run by
security firms (which we have done work for in the past) and standard software
auditing done by firms like PwC. Auditing software is completely different from
auditing your books.”


WHAT ARE SMART BASKETS?¶

Smart Baskets are the product of indexed entities such as stocks, cryptos, drug
compounds, etc. that are grouped by a similar theme, enabling thematic
investing, i.e., the ability to invest in prominent trends or themes. In doing
so, we are able to extrapolate hidden relationships based on proprietary Natural
Language Processing and Understanding (NLP/NLU) datasets. Baskets of
cryptocurrencies or stocks are algorithmically generated based on a news event,
topic or ‘special situation’ often used by internal market researchers inside
hedge funds/asset management companies.


HOW ARE SMART BASKETS GENERATED?¶

Smart Baskets are generated based on an event, global trend or concept using our
real-time NLU correlation matrix datasets. They are smart because they are
automatically generated based on NLU datasets. For instance, our clients choose
a customized dataset with a custom sector of equities and a custom set of
topics, trends, categories, pre-select events, or real-time events. A basket is
generated and then they choose how they want to filter that basket which can be
done in a million different ways.


WILL THE SMART BASKETS BE AVAILABLE TO THE PUBLIC AS WELL AS INSTITUTIONS?¶

Yes, these will be available for traditional retail traders as well i.e., crypto
traders. The larger customers will typically access more advanced versions of
these Smart Baskets based on the tiered pricing.


SMART BASKETS IS A KNOWN TERM WITHIN THE TRADING COMMUNITY. WOULD IT BE A GOOD
MARKETING MOVE TO RENAME VECTORSPACE AI’S SMART BASKETS TO A TERM WITH
EXCLUSIVITY TO VECTORSPACE AI?¶

This makes sense, but based on our experience with branding, there are
advantages and disadvantages to branding collisions. We rebranded in the past
from Starmine. This is a common practice.


I READ THAT THE SMART BASKETS WILL BE EXCLUSIVELY DEVELOPED FOR LCX. IS THIS A
GOOD STRATEGY?¶

Smart Basket technology comes in many different forms which are built on
datasets. These datasets have billions of permutations, so if a class of
datasets supports a group of Smart Baskets, then the team can make that
exclusive. We are in the process of negotiating a variety of exclusive licenses
related to aspects of our technology.


DOES VECTORSPACE AI TEST THE SMART BASKETS WITH A HIGH VARIANCE IN POSITION
SIZE?¶

Yes, we have done this with a group before. We had a chance to test baskets with
a few million dollars in capital per basket. One of our goals is to support
deploying a large amount of capital.


WHAT IS THE UPPER LIMIT OF POSITION SIZES THAT VECTORSPACE AI
TESTED/BACK-TESTED?¶

We have tested in simulated markets with 1 million dollars per basket. You can
back test and test in a simulated market environment with buy and sell pressure
but this is nothing like the real thing. The real markets are slightly different
which is why we plan to trade our internal proprietary baskets ourselves.


IN AN UNFILTERED BASKET DO THE STOCK TICKER SYMBOLS COME UP IN ANY SPECIFIC
ORDER, I.E., FROM BEST OPTION TO WORST OR VICE VERSA? IN OTHER WORDS, WOULD THE
BEST ONE SHOWS UP 1ST IN LINE?¶

Yes, they are ranked/scored based on the strength of the relationship. They are
unfiltered because the relationships are not context controlled or directional.


LONG BASKETS WERE DISCARDED DUE TO COVID-19 MAKING IT NOT VIABLE, BUT WE ARE
CURRENTLY SEEING RETAIL INVESTORS MAKING A KILLING WITH ROBINHOOD BUYING
BANKRUPT COMPANIES. WOULD THIS NEW ENVIRONMENT MAKE LONG BASKETS NOT FAR MORE
ATTRACTIVE THAN SHORT BASKETS?¶

The first reason is because anytime you see someone making money based off of
chapter 11 plays (bankruptcies), this is a chance play. These are not worth
playing as it is a gamble. When you look at long baskets, they are not something
we are focused on at this time. We started generating long Smart Baskets for the
crypto markets which crashed. We then moved into datasets for every industry.
Then we had an economic crash which resulted in a shift to short plays. The
investment club will offer baskets for shorts on the traditionals side. Baskets
are certainly available, and in this environment, we see them as being a big
opportunity which we are prepared for. Institutions and retail will be offered
to the opportunity to short traditionals.

The Coronavirus basket (COVID-19) resulted in a multitude of long opportunities.
The secret sauce to Smart Baskets is the ability to take a Smart Basket and
filter them by criteria of context to create two groups that allow you to go
short and long. Creating that separation or filters is the goal. Data is the
unrefined crude oil, while datasets are the refined petroleum that power AI
systems. The dataset augmentation part is important because it allows data
engineering pipelines to take their datasets and append them with Vectorspace AI
NLP datasets. This will allow them to create new clusters/correlations as to why
things are occurring.


IS THERE A WAY TO TEST THE SMART BASKETS GENERATION?¶

Yes, there is a demo version where you are able to set the themes and the
algorithm will generate static thematic smart baskets containing the symbols of
the public trading vehicles (stocks) related (containing known and hidden
relationships) to each one of themes. The tool also includes a comparison of the
smart baskets returns against the S&P index. You can try it at
https://vectorspace.ai/recommend/datasets/data/trends/e01395aad51ca79cb22c422d30d1c6c70974863a-20210501-04_07_20_AM.html.

These are demos designed to exemplify our capabilities. This is the tip of the
iceberg. Demos are designed for NLP engineers inside hedge funds. Full
commercial grade versions are only available to institutional customers.

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