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.

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Innovation in Trading

The next wave of broker innovation will be Crowdsourced algos

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Are Institutional Brokers Innovative?

Markets Media is reporting that “47% of buy-side firms, mostly those with modest levels of assets under management, did not think their brokers were doing anything innovative.” Andy Kershner, the CEO of CloudQuant’s parent company was interviewed.  He believes:

The next wave of broker innovation likely will be geared toward democratizing quantitative trading, according to Kershner Trading Group Founder and CEO Andy Kershner. That would vastly expand the universe of high-level quant traders globally, which Kershner roughly estimated stands at perhaps 5,000 today.

Andy Kershner, Kershner Trading

“It will be very similar to what you saw when you had access to the market open up in the mid-90s for day traders,” Kershner said. “You had lots of innovation, lots of people coming in with lots of ideas, and lots of software that really changed and knocked out all the market makers. Then high-frequency came along and killed all the specialists and also knocked out some of the day traders. I think now we’ll see a reversion.”

“You’ve got ‘big data’ out there everywhere that everybody talks about, but the moat is access to the data, access to capital, and access to some knowledge of what to do with it,” Kershner continued. “I think in the next three years if you do not have an auto- or quantitative-trading system that’s more than just APIs — you’ll need back-testing, forward-testing, live, the whole package — if you don’t have that for people to sign up for, your brokerage will be left behind.”

Read the full story on Markets Media

Battle of the Quants June 2017

Battle of The Quants – Discusses Crowd Researching in NY

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Crowdsourcing in fund management and trading is the move to utilize anyone with an internet connection to participate in the research with the goal of finding new and better ways of trading. During the discussion the differing approaches being taken with the business models, and the technology, and the challenges each are facing.
Python based Trading Strategies by Machine Learning

Trading Strategy development—Powered by Machine Learning

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Morgan Slade, the CEO of CloudQuant spent some time with discussing the world of crowd research, technology, and data science with ChatWithTraders.com Topics covered:
  • How large funds and institutions put on $100-million positions; how they work orders into the market, structure the trade and handle market impact etc.
  • Morgan explains why he feels as though the common approach to strategy development is counter intuitive, and shares an alternative 3-step formula.
  • A simple description of how machine learning and data science is being used by traders, and an example of how ML has been used to improve existing strategies.
This interview is the follow on interview that Chat With Traders had Andy Kershner. Towards the end of that episode, Andy briefly mentioned a cloud-based algo development platform and fund, CloudQuant, which is a subsidiary of Kershner Trading Group.

About Morgan Slade

Learn more about Morgan, his 20 years of experience as a trader, portfolio manager, researcher, technologist, executive and entrepreneur, and the team at CloudQuant.
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.

quantitative algo trading conceptual dashboard

An Incubator for Trading Strategies

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GLG Partners has hired a head of machine learning. Financial News reports that this is a new role entirely. The article points out that the volume of data that GLG is utilizing is growing. A similar article reports that BlackRock is putting a greater emphasis on computer models.
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.