market can be up/down (q1/q2) and traders can buy/sell (a1/a2), but before a decision is made, both exist in a quantum-like superposition of states. They use this to model how traders make decisions under uncertainty. Would be interesting to see how this performs against traditional forecasting methods. Will give it a try. Thanks
Thanks for interest in our work, glad that you found it interesting. 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).