CloudQuant Continues To Allocate Risk Capital to Crowd Researchers
Chicago, Illinois, USA, September 27, 2017 – CloudQuant, the trading strategy incubator, continues to allocate risk capital to crowd researchers by funding and leasing a second trading algorithm. The strategy was put in production with a sizeable allocation and the algorithm licensor will receive a direct share of the monthly net trading profits.
“The research activity on our site continues to grow as crowd-based traders and quantitative analysts build their own proprietary algorithms. A second significant allocation within one month is exciting for us and our clients,” said Morgan Slade, CEO.
The second allocation was made to an ETF-focused algorithmic strategy with significant capacity. The crowd researcher worked with CloudQuant’s Licensed Product quant execution team members to productionize the new strategy. The strategy was developed in early September 2017 on our free market backtesting and python data science tools. The strategy began trading immediately upon approval of the licensing agreement.
“The speed with which traders have been able to express their sophisticated trading strategies and receive an investment allocation in a matter of days in our research ecosystem is ground-breaking. Expect to see more,” said Slade.
CloudQuant will be speaking at the Futures Industry Association’s Expo (https://expo2017.fia.org/) on October 19 about the impact of open source resources on quant trading.
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.
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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.