FINTECH

FINTECH, short for Financial Technology, describes the emerging technology applied to financial services including trading, investments, banking, and marketplaces including current exchanges and new alternative marketplaces. FINTECH covers innovations that are rapidly changing all aspects of the front office, middle office, and back office. CloudQuant is considered a FINTECH company as we are bringing crowdsourcing to algorithmic trading. Other FINTECH innovations include cryptocurrencies, machine learning, and deep learning applications.

Posts

Quantitative Strategy, Trading, and Algo Development Industry News

Industry News: Machine Learning and Artificial Intelligence News November 6, 2017

AI and ML for investing, ETFs, Cliff Asness, BofE, Manifold Partners, Japan’s bank, SoftBank, lack of skilled AI teammates, Uber, MarketX, fake news, …
News for Machine Learning and Algo Trading

Deep Dive With JLN: How Can The Financial Industry Draw In The Next Generation Of Talent?

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The former trading floors provided a sense of community. Electronic trading communities like CloudQuant provide a bright future for new traders.
Morgan Slade and Tayloe Draughon with Jill Malandrino of NASDAQ

Discussing Crowd Sourcing Algos with Jill Malandrino of NASDAQ

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NASDAQ’s Jill Malandrino discusses crowd research in an Algo World with Morgan Slade and Tayloe Draughon at the FIA Expo 2017
J. Tayloe Draughon

CloudQuant Hires Industry Veteran To Influence and Accelerate Crowd-Sourced Licensing Model

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Tayloe Draughon has joined the management team as Senior Product Manager. He is a specialist in FINTECH and electronic trading product management.
Researcher reading iPad

Big Data, Data Analytics, Data Science in the News October 5, 2017

Data Science Topics: UBS, data quality, cloud-native, Morgan Stanley, wildlife monitoring drones, targeted marketing, retirement planning, Boeing, Google AI
Quantitative Strategies and Capital for Trading

Industry News: Machine Learning and Artificial Intelligence News for the week ending September 25, 2017

Big Data, Data Analytics News: Wall Street Robots, SEC, Microsoft, Nvidia, REGTECH, financial services firms, KPIs all using Data Science…
Machine Learning, Quantitative Investing News

Machine Learning and Artificial Intelligence in the News September 18

ML Frameworks, Robots and your job, Trends for Investment Managers, Chief Risk Officers, FINTECH peers are “Faking it till the make it”
John "Morgan" Slade

FintekNews: 3 Questions with John “Morgan” Slade of CloudQuant

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FintekNews recently asked 3 Questions of our CEO Morgan Slade. This is in response to our recently announced launch with a $15M allocation to a crowd based trading strategy algo creator.
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.