FOR IMMEDIATE RELEASE:
Chicago, Illinois, USA, August 22, 2017 – CloudQuant, the trading strategy incubator, has launched its crowd research platform by licensing and allocating $15 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 our 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,” said Morgan Slade, 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.
CloudQuant is the trading strategy incubator for data scientists and traders around the world to create and test trading strategies. Proven strategies are individually licensed from the owner, provided trading capital and an execution team. Algo creators are paid a monthly licensing fee from the net profits similar to a professional portfolio manager. CloudQuant offers a mutually beneficial profit sharing license enabling both parties to profit.
CloudQuant LLC, established in 2016, is a wholly owned subsidiary of Kershner Trading Group LLC.
For Media Inquiries Please Contact:
Jessica Titlebaum Darmoni
The Title Connection LLC
+ 1 312 358 3963
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The information contained herein does not constitute investment advice, or an offer to sell, or the solicitation of any offer to buy any interests in CloudQuant LLC or its parent Kershner Trading Group LLC, nor is it intended to be used for marketing purposes to any existing or prospective investor in any jurisdiction, and is subject to correction, completion and amendment without notice.