CloudQuant News

What is it like to be a female in Data Science?
Blog

What is it like to be a female in Data Science?

Sonal Gupta is an MBA graduate student at Case Western Reserve University in Ohio. She has five years experience in leading software development teams, product development and consulting engagements.  She has the ability to analyze large volumes of data and generating actionable insights.  We asked her what her experience has been like as a female in data science and invite you to read her response below.
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WealthTech Conference, June 28, 2018 in Chicago
CloudQuant Press Press

WealthTech Conference, June 28, 2018 in Chicago

The emergence of technologies in new fields such as artificial intelligence, big data & predictive analytics, and blockchain are changing the investment landscape forever.  Join CloudQuant's CEO for the conference including the discussion on AI in Trading and Investing.
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CloudQuant Press

RavenPack – The State of Machine Intelligence in Capital Markets

The financial sector is making a massive shift towards machine intelligence in capital markets. This panel shares their experience in using data science and domain expertise in understanding data context.
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Blog

Machine Learning FXCM Webinar with Trevor Trinkino of CloudQuant – Part 3/3

Trevor Trinkino presents the final part of his three-part Machine Learning webinar in co-operation with FXCM
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CloudQuant Allocates Risk Capital to Crowd-Resourced Trading Algorithm
CloudQuant Press Industry News

CloudQuant Allocates Risk Capital to Crowd-Resourced Trading Algorithm

CloudQuant, one of 50’s Most Promising FinTech Solution Providers of the year, has allocated risk capital to a crowd resourced trading strategy. The strategy’s creator, an Australian based crowd researcher, leveraged CloudQuant’s market simulation and python based back-testing tools, to prove the algorithm’s performance and profitably within approved risk parameters.
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Blog

Machine Learning FXCM Webinar with Trevor Trinkino of CloudQuant – Part 2/3

On May 15th Trevor Trinkino presented part two of a three-part Machine Learning webinar with FXCM. Part one is here. Part...
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Blog

Machine Learning FXCM Webinar with Trevor Trinkino of CloudQuant – Part 1/3

Trevor Trinkino presents part one of a three part introduction to Machine Learning in Algo Trading.
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Successful Starts in Algorithmic Trading
Blog

Successful Starts in Algorithmic Trading

Many people have attempted to become the next great trader. They try assets like cryptocurrencies, or futures, or options and soon find out that it isn't as easy as they originally thought. They run into many of the same problems. ... Success comes with diligent work, support, and access to mentors, technology, and data.
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CIO Review Names CloudQuant to 50 Most Promising FINTECH Solution Providers
CloudQuant Press

CIO Review Names CloudQuant to 50 Most Promising FINTECH Solution Providers

The world of stock trading has come a long way since its digitalization more than two decades ago. In fact, today’s trading realm masquerades as a giant machine with the evolution of the intricate components that are perhaps beyond human wit to comprehend in entirety. As such, data analytics along with novel technologies such as machine learning have become driving forces on the trading floor. This has in the recent past, spurred the rise of a new breed of traders, ones that leverage algorithms to dictate the very automation of trading instances. “Algorithmic trading” as it is known, comes with benefits such as lower cost of trading, a quantitative forecast of future stock trends, and a more objective valuation of stock to name a few. In short, algo-trading is where the compass is pointing toward, and this is precisely where CloudQuant has positioned itself.
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Myths and Misconceptions Surrounding Artificial Intelligence
CloudQuant Press Industry News Press

Myths and Misconceptions Surrounding Artificial Intelligence

"The most promising area of Quantitative Trading is using it (AI & ML) ... to identify alpha that you wouldn't normally be able to find by eyeballing things and looking at regression statistics and visualizations," said Slade.
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FIA Boca: The Human’s Role in Blockchain
Blog Industry News

FIA Boca: The Human’s Role in Blockchain

... “We can’t have one group of people designing the system, otherwise we won’t be protecting everyone’s interests,” he said. “We need women and more diversity in Blockchain so all groups are represented.” ...
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Interview with Sarah Leonard, STEM Woman and Data Scientist
Blog

Interview with Sarah Leonard, STEM Woman and Data Scientist

“It’s exciting to see the growing number of women in Science, Technology, Engineering and Math (STEM); my advice is to not be afraid to jump in headfirst,” said Sarah Leonard, graduate student at the University of Chicago. “It is a difficult field but also lucrative and rapidly growing.” Leonard sat down with CloudQuant to talk about her experiences in data science, her insight as a female in a male dominated world, and the intensive process it took to find her dream job.
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The RavenPack Big Data & Machine Learning Revolution Comes to London
CloudQuant Press Industry News

The RavenPack Big Data & Machine Learning Revolution Comes to London

April 24, 2018, Top finance professionals who will share their latest research and experience with Ravenpack big data and machine learning in London.
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CloudQuant Press Press

Quants discuss evaluating and adapting their models – Including CloudQuant

In January, Morgan Slade participated in a Panel Discussion for Quantitative Fund Managers and how they are adapting their model.
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Market Turmoil Generates Opportunity for Proprietary Traders
Blog Careers

Market Turmoil Generates Opportunity for Proprietary Traders

In these times of market turmoil and volatility, the Kershner Trading Group stands ready to provide traders with a firm built on a strong foundation of significant capital investment, innovation-focused trading technology and decades of experience in the active and proprietary trading space. Kershner Trading is actively seeking experienced US Equities Traders
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