Crowdsourcing News & Topics in Algorithmic Trading, Quantitative Finance, …

Crowdsourcing is the internet model where anyone with a computer can be involved in an activity. At CloudQuant this is an opportunity for students, recent graduates, and career-changers to be involved in quantitative research and algorithmic trading. Anyone on the internet can use the free tools provided to create and prove that a trading algorithm works.

This is our CrowdSourced Trading Strategy Incubator. As a member of the crowd, we partner with you to bring your idea to market. This partnership is properly licensed so that you retain your rights to your strategy. When we both agree to the terms of the profit sharing deal, then we fund and run the algo you have already proven. Having a larger amount of capital results in a stronger possibility of succeeding in the markets. Your algo is able to run “At Scale” instead of inside the constraints of your own capital.

Posts

Morgan Slade, Python Data Scientist and Trader

June 22nd 2017 Battle of Quants

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CloudQuant’s CEO Morgan Slade will be speaking on Crowdfunding Algo Developers and Data Scientists. The primary question on his panel will be “How does the mechanism work and which business model is showing early signs of success?” Please join us in New York for this important discussion. NY Battle of Quants Speakers Event Date: June 22, 2017 Didn’t make it? See our discussion review.
World Market Access

CloudQuant Announces Users from 72 Countries

May 13, 2017, Chicago, Illinois, For Immediate Release

CloudQuant Announces Users from 72 Countries

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.

These users hope to become the next funded trading strategy. They utilize the cloud based to develop trading strategies. All trading strategies are developed in python, a popular and easy to learn programming language.

About CloudQuant LLC

CloudQuant LLC, established in 2016, is a wholly owned subsidiary of Kersner Trading Group LLC. CloudQuant provides a cloud based trading strategy incubation service for algorithmic developers and traders around the world which includes a partnership agreement and profit sharing arrangements.

Kershner Trading, parent of CloudQuant

Kershner Trading Announces the Formation of CloudQuant

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November 1, 2016

Chicago, Illinois

For Immediate Release

Kershner Trading Group, LLC announces the formation of CloudQuant®, a wholly owned subsidiary.

CloudQuant is:

  • an educator,
  • a facilitator for traders, technologists, and data scientists
  • a technology provider,
In short, CloudQuant is the Trading Strategy Incubator which will allow the trader, software engineer, data scientist or individual with an great trading idea to receive funding for an algorithm that has been tested and proven in backtesting.

CloudQuant began as an internal trading tool for traders with extraordinary trading ideas to be able to explore quantitative trading with the evolution of data science. The technology behind our innovative approach to incubating trading strategies began as an internal system and has been proven through daily use within the Kershner Trading Group. Kershner’s experience as a trading firm focused every day on the work of operating and executing profitable quantitative trading strategies provided the trading and technology expertise to design a platform that enables researchers to go from idea to production implementation in a matter of hours.

CloudQuant’s mission is to provide you with tools to develop and prove your trading strategies. We then license your strategy from you. Once licensed we assign capital from our funds to your strategy. Our professional traders, risk managers, and technologists oversee the running of the trading strategy.

When a client’s trading strategy makes money the client will be paid.  Loses are the responsibility of CloudQuant.