Essentially the biggest challenge of crypto trading is a dual uncertainty: the market itself is in a “random walk” all the time, and it is because of the uncertainty posed by the market that the traders’ can’t make up their minds decisively (they don’t know exactly when to buy or sell). The quantum superposition principle can be utilized to model the infinite possibilities of the market and of the traders’ minds, where the evolutionary algorithm then optimizes the most satisfactory trading strategy (action sequence of buy or sell).

In the below case study, 3 AI agents cooperatively studied around a month of historical Bitcoin prices and then collectively produced an action sequence (buy or sell) for the following week, resulting in odds consistently greater than 60%. For more details, please read more here: www.xinvisionq.com/subpages/caseStudies.html.

And if you’re interested in our algorithm, you can find more details in the paper here: www.xinvisionq.com/pdf/QxEAI.pdf.