JupyterLab and Jupyter Notebooks

CloudQuant uses JuypterLab and Jupyter Notebooks in all of our data science projects. We find that this popular python environment with the standard and extended packages allow our internal and external quantitative analysts to create and share research that includes python code, equations, visualizations and research text. Our new CloudQuant.AI environment which is only available for internal users is built on JupyterLab. Watch for announcements from CloudQuant as we plan on opening this platform with our market data, fundamental data, and news/sentiment Alternative Datasets for registered crowd researchers.

The Jupyter Project is an open source project and can be found at http://jupyter.org/

Posts

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JupyterLab and Notebook News. 08, June 2018

Looker Boosts Data Science Capabilities. Unsupervised Deep Learning Algorithms for Computer Vision. BlueData Introduces Turnkey Solution for AI and Machine Learning (including TensorFlow)
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AI & Machine Learning News. 28, May 2018

AI luggage, AI School Paper Grading, Importance of good data, Hybrid Data Management, Transcribe and Translate, 4 ML skills you won't learn in school, The one essential skill that will set you apart and a Beginner's Guide to Jupyter Notebooks.
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JupyterLab and Notebook News. 08, May 2018

News clips provided algorithmically. Anaconda's Damian Avila on the 2017 ACM Software System Award for Jupyter - Anaconda I am very happy to inform you that Project Jupyter has been awarded the 2017 ACM Software System Award! As…
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JupyterLab and Notebook News. 17, April 2018

CloudQuant has been using the beta version of JupyterLab for our internal portfolio managers in their research for Alpha Signals. This platform is very useful in for the data science portion of algorithm development. News related to JupyterLab and common data science toolkits used in Jupyter will appear in this periodic post from now on.
Trevor Trinkino Quantitative Trader

FXCM Machine Learning with Trevor Trinkino

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:
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Newsweek Event: Artificial Intelligence and Data Science (December 5th to 7th, 2017)

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CloudQuant will be participating in the Newsweek conference on Artificial Intelligence and Data Science for the Capital Markets Industry on December 5th to December 7th, 2017 in New York.
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...
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Intro to Machine Learning with CloudQuant and Jupyter Notebooks

Trevor Trinkino, a quantitative analysts and trader at Kershner Trading Group recently put together an introduction to Machine Learning utilizing CloudQuant and Jupyter Notebooks. In this video he walks you through a high-level process for implementing machine learning into a trading algorithm, ...
SPY Benchmark Trader

Full Stack UI Developer - Chicago

We are looking for a Web Developer responsible for managing the interchange of data between the server and the users, as well as translating the UI/UX design wireframes to actual code that will produce the visual elements of the application.
Quantitative Strategies and Capital for Trading

Quantitative Trading and Data Science in the News August 7 2017

Citadel fund up 7%, Hedge funds betting against Tesla (and losing), Data Analytic trends, ...