CloudQuant, a trading strategy incubator, has launched its crowd research platform by licensing and allocating USD15 million (USD) to a trading algorithm. The algorithm licensor will receive a direct share of the strategy’s monthly net trading profits.

The crowd researcher leveraged CloudQuant’s free market simulation and python data science tools to build an effective trading strategy. The strategy began trading immediately upon approval of the licensing agreement.
 
“We are excited to launch CloudQuant. The launch represents the first significant funding of a crowd-based quantitative analyst thereby proving the opportunity for independent data scientists and market enthusiast to join the ranks of institutional algorithmic traders,” says Morgan Slade (pictured), CEO.
 
CloudQuant provides research, backtesting tools, and execution technology conceived and developed by proprietary traders over the last 20 years in its parent company, Kershner Trading Group.