CloudQuant, the trading strategy incubator, has launched its crowd research platform by licensing and allocating $15 Million (USD) to a trading algorithm. Created by a crowd researcher, the algorithm licensor will receive a direct share of the strategys monthly net trading profits.
The crowd researcher leveraged the 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 utilizing the allocated capital.
We are excited to launch CloudQuant. The launch represents the first significant funding of a crowd researcher thereby proving the opportunity for independent data scientists and market enthusiast to join the ranks of institutional algorithmic trading. said Morgan Slade, CEO.
CloudQuant harnesses research, backtesting tools, and execution technology conceived and developed by proprietary traders over the last 20 years in its parent company, Kershner Trading Group.