We are working on a different kind of Artificial Intelligence systems, where we can clearly understand how the decisions are made and why. We believe this can be done by finding different dimensions in structured data.
Just imagine how different the world would be, if we can simply do: - SELECT winning
FROM markets;
- SELECT beautiful
FROM sunsets;
- SELECT good
FROM people;
- SELECT cure
FROM cancer;
Or even better: - DELETE change
FROM climate;
The first statement is actually true
and our proof of concept our
AI powered Quantitative Semi-Passive ETF Investing System with Robust Downside Protection
that produces around 4 times the returns of the S&P 500 market while preserving the same risk profile:
Low Risk Model
- works exactly the same as the regular passive Buy and Hold investing model in broad S&P 500 fund, but cuts the major drawdowns by 50% and saves a lot of money, pain and anxiety and provides better than average return per year.
High Yield Model
- same risk profile as Buy and Hold investing model in broad S&P 500 fund, but provides 4X average return per year.
Both Models are using high volume ETFs tracking the major US companies like SPY, QQQ, etc to generate those returns.
We are attempting to apply similar concepts to other structured data sets, including those in the fields of finance (which we have already done), healthcare, biotechnology, and climate (temperature, sea level, wind speed, and geolocation), among others.
We are just starting, so please visit often, enjoy the site and let us know what you think about it.