Our approach

Financial markets may be understood as a dynamic ecosystem of contributing forces – whether it’s crypto, stocks, commodities or forex. These contributions form price action patterns, and those patterns have individual inefficiencies. Over time, the patterns change, and their inefficiencies change as well. These changes are not instant, they have gradualistic^* nature. At Profitage we develop trading bots that exploit present inefficiencies and evolve with pattern changes.

^*Gradualism is a hypothesis, a theory or a tenet assuming that change comes about gradually or that variation is gradual in nature and happens over time as opposed to in large steps.

With time, inefficiencies become obsolete due to their gradualistic nature. Additionally, global disasters i.e. “black swans” happen from time to time. Therefore, it makes sense to make the bots aggressive and to shorten their lifetime as much as possible. Once the inefficiency fades, the bots are renewed and ready for a newcoming one.

As a result, such an approach allows bots to extract huge profit with worthy risks.