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Fixing Python Memory Leaks

A few of our power users reported that long-running backtests would sometimes run out of memory. These power-users are the people who often find new trading strategies and so we wanted to work with them to improve the performance of our backtesting tools. Over the past couple of weeks, our senior engineer found that the problem wasn’t in our code, but in one of the popular Python libraries that we use.
We found the problem in numpy and numba. 

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Conversations: Learning Python within CloudQuant

What was your experience like learning Python within CloudQuant?
We asked our portfolio managers and product management teammates who code in Python to explain their starting experiences in programming with Python with CloudQuant. We wanted to share with everyone what encouraged them to keep learning throughout the years.
Everyone here codes as part of their job. This includes the CEO all the way down to the interns. We rely on our Backtesting Engine to ensure that trading algorithms work well before committing money to the automated trading strategies. But we also use JupyterLab in our daily work. We generate our reports, monitor our systems, and do all sorts of tasks in Python. Python has overtaken the spreadsheet in CloudQuant.

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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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CloudQuant Press Industry News

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.

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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, …