We use alternative computational paradigms in order to analyze the stock market and generate data-driven decisions
Smart and self-trained algorithms applied to big data are the key of the next technological revolution
Combining traditional and non conventional math to develop AIs capable of the hardest decisions in financial enviroments
We are developing new ways to understand the stock exchange and how it works. Our approach is to study properties of natural enviroments to create unconvetional analysis methods.
The goal is to generate safe and validated real-time investing models and processes. Our self-trained systems work with financial data in order to make decisions that maximize benefits.
1. Mathematics is the language of nature.
2. Everything around us can be represented and understood through numbers.
3. If you graph these numbers, patterns emerge.