Jupyter Notebooks

The Jupyter Notebook is a popular data science web application that allows analysts to create and share research that includes python code, equations, visualizations and research text. Many CloudQuant crowd researchers utilize the python notebook environment as part of their research loop that takes the quantitative analysts from hypothesis to funded trading strategy.

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


Newsweek AI Data Science for Capital Markets

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

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.
Algo developer getting paid
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

August 7, 2017 Citadel's Flagship Funds Gain Almost 7% This Year ...Citadel’s Tactical Trading Fund, which uses equity and quantitative strategies, rose 3 percent last month, bringing year-to-date performance through July to 4.9 percent.…
CloudQaunt - Providing Capital for Algo Traders