In order to find the edge on the markets and trade effectively, we combine the strengths of data science, domain knowledge, and internally developed software.
Instead of relying on just a single source of expertise we use the synergy of human interaction and machine learning.
by monitoring markets in real time and applying knowledge gathered through ematiq’s domain expertise and data insights
by relying on a data-driven approach instead of intuitively made decisions
by observing markets, formulating trading hypotheses and validating them based on big datasets
Based on internal datasets we are able to analyze both pregame and real-time data for the purposes of rejection or confirmation of the hypotheses brought up by our domain experts.
Both in regard to classical sports events e.g. tennis:
What is the best surface if you want to beat Novak Djokovič?
As well as an rising star in terms of betting -> e-sports:
How does this pick in Dota influence the game?
Continuously analysing new market information and re-evaluating our estimates
Daily collecting huge amounts of data for both sports and e-sports
Uniquely combining domain experts, data scientists and trading knowledge
Facing exciting challenges in ever-changing environments.