CloudQuant, one of 50’s Most Promising FinTech Solution Providers of the year, has allocated risk capital 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.
Tag: Allocation
CloudQuant, the trading strategy incubator, has launched its crowd research platform by licensing and allocating risk capital to a trading algorithm. The algorithm licensor will receive a direct share of the strategy’s monthly net trading profits.
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Algo Developers – Entry Level
CloudQuant is THE trading strategy incubator. We’re building a free python data research tool for ordinary people with extraordinary trading ideas. We license and fund the best trading strategies and pay our users a share of the profits. Our group is a FINTECH startup housed under the umbrella of a trading firm with existing infrastructure and financial resources.
CloudQuant’s innovative Trading Strategy Incubator has managed to attract new users from 72 countries. The users represent developers, financial analysts, data scientists, traders, and other trading enthusiast who are interested in developing a trading strategy that may be funded if it proves to be profitable.