Posted by Michael Halls-Moore on January 19th, 2021
I'm pleased to announce that I've just made a new release of QSTrader to version 0.2.2.
You can download the latest version from the Github repository or install via
pip install qstrader.
This particular release adds Dockerfiles to the official package. It also removes support for Python 3.5 and adds support for 3.9. This is in line with the official Python, NumPy and Pandas version deprecation policies. To see the full list of changes please take a look at the changelog.
Posted by Michael Halls-Moore on January 8th, 2021
Today I'm pleased to announce that the QSTrader documentation has now been ported over to MkDocs using a theme provided by ReadTheDocs.
Using MkDocs provides search functionality, dynamically generated table of contents, in-article navigation and increased legibility, all out-of-the-box. It also allows us to more rapidly write and deploy QSTrader documentation as the project progresses.
I'll be adding more sections to the QSTrader docs over the coming weeks and months. I'll make an announcement here when we've added some additional tutorials.
Posted by Michael Halls-Moore on January 6th, 2021
Today I'm pleased to announce that some new community contributions to the QSTrader open source backtesting project have been merged into the master branch.
In particular, community member @b4d0n3 has provided Dockerfiles for various linux distributions including Ubuntu 18.04 (Bionic), Ubuntu 20.04 (Focal), CentOS8 and Fedora33.
If you already utilise Docker this should help you get up and running with the software on your preferred distribution.
I'd like to say thank you to @b4d0n3 for taking the time to produce these Dockerfiles and for offering to share them back with the QSTrader community.
Posted by Michael Halls-Moore on December 31st, 2020
I'm pleased to announce that we have just released a Latest News section on the site to help you stay fully up to date with what's happening at QuantStart.com.
Over the last few months the team and I have been working hard 'behind the scenes' on various product improvements throughout the site to help improve the user experience.
In particular we have added new features to the Quantcademy including forum post tagging, a member's introduction forum as well as a monthly discussion topic vote.
I've also personally been improving QSTrader to support the latest versions of Python and Pandas. I'll be announcing the release of a new 'patch' version of QSTrader to PyPI in the near future.