CloudQuant Allocates Millions to Crowd-Resourced Trading Algorithm
CloudQuant, one of 50’s Most Promising FinTech Solution Providers of the year, has allocated $20 million to a crowd resourced trading strategy. The strategy’s creator, an Australian based crowd researcher, leveraged CloudQuant’s market simulation and python based back-testing tools, to prove the algorithm’s performance and profitably within approved risk parameters.
