CloudQuant algo trading blog covers topics for quantitative traders

CloudQuant presentation for the Students of the University of Chicago Financial Program

A video introduction to the CloudQuant Trading Strategy Incubator by data scientist, Nicolaus Schmandt

Distributed Ledgers in Listed Derivatives

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.” ...

Sarah Leonard, MScA, University of Chicago

Interview with Sarah Leonard, STEM Woman and Data Scientist

Blog

“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.

Market Turmoil Generates Opportunity for Proprietary Traders

Blog, Careers

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

FXCM Machine Learning with Trevor Trinkino

Blog

On February 8th Trevor Trinkino presented Machine Learning with FXCM in a webinar. During this presentation, he promised to make available his machine learning Python Notebook and the supporting data file. These are available on our Google drive at:

Young women getting started in technology

Young Women: Programming Helps!

Blog, CloudQuant Press

The first book I got was “Hello World”. The book intimidated me, because I saw programming as a superpower, something only my dad was capable enough to do. I tried to learn it, but I just got bored very quickly. My dad, still persistent, decided it was time to try programming something we loved.

Backtest Research Life Cycle for Trading Strategies

Backtesting Trading Strategies

Blog

If you knew your trading strategy would work 50% of the time, would you commit your scarce savings to trade it? What if it worked 75% of the time? Backtesting gives one the confidence to know that your trading strategy will work.

Three Inside Up Technical Pattern shown on $IBM Jan 2, 2018

TA-LIB Three Inside Up Buy Signal - $IBM

Blog, Kekstadt

IBM, the 100-year-old company, is wedging into a tight trade, but it looks like the Bulls are gearing to press a move higher. Just before year-end, the stock set a Three Inside Up Japanese candlestick pattern setting the stage for a rally. Source code using TA-LIB and Python included.

Happy Quantitative Holidays

Blog

Thank you for the amazing year. This holiday season we want to thank all of you crowd researchers for your amazing accomplishments. Since our official launch in August, we have allocated multiple times to crowd researcher created algorithms. We are excited about what you have accomplished.

CloudQuant Blog

CloudQuant presentation for the Students of the University of Chicago Financial Program

FIA Boca: The Human’s Role in Blockchain

Interview with Sarah Leonard, STEM Woman and Data Scientist

Market Turmoil Generates Opportunity for Proprietary Traders

FXCM Machine Learning with Trevor Trinkino

Young Women: Programming Helps!

Backtesting Trading Strategies

TA-LIB Three Inside Up Buy Signal - $IBM

Happy Quantitative Holidays

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