*This article was published on Medium: check it out here.

In this article we describe the implementation of a new tool we released for the Quantiacs Python toolbox: a fast optimizer for testing the robustness of a trading system.*

As Donald Knuth pointed out, “Premature optimization is the root of all evil.” This is a famous saying among software developers and it is true also in the context of trading system development.

This article was published on gitconnected on Medium: check it out here.

In this article we describe the implementation of a simple quantitative strategy on the Bitcoin Futures contract with Quantiacs.

This month we released a new version of the Quantiacs platform with several major improvements. In addition to providing a new open-source backtesting tool and the possibility to download for free financial data, we created a cloud environment for quants. Here it is possible to code trading algorithms in Python using Jupyter Notebook or JupyterLab and to run them directly online using our res...

Daniel won the Q8 and Q9 Quantiacs competitions and got an initial investment of $1,000,000 for each of his winning systems. After that he continued developing systems and he currently gets a monthly fee from Quantiacs. We met Daniel and asked him a few questions about how he got started with Quantiacs.

Q: Can you tell us a little more about yourself and your background?

I’m a mechatronics engineer and hold a MS in engineering. As an engineer, most of my experience is with software, electronics, and hardware. I may have a different background than most users of Quant...

Alex won one of the first Quantiacs contests, the Q2 competition, and got an initial investment of $1,000,000. After that he continued developing systems and he currently gets a monthly fee from Quantiacs. We met Alex and asked him a few questions about his background and how he got started with Quantiacs.

Q: How would you describe yourself: Are you more of a trader with coding skills or a coder with trading skills?

Definitely more a coder with trading skills. I didn’t come into this knowing much about trading things. Since then I learned that there...

This article was published on The Startup on Medium: check it out here.

The new Quantiacs platform allows quants to download financial data for free. Predictions for markets can be performed offline, downloading locally the Quantiacs backtester, or online, using our cloud for free. In this article, we describe a supervised learning example based on Ridge regression.

When we built Quantiacs we focused on a platform that allows quants to perform realistic trading simulations without getting lost in more technical details. We believe that high-quality trading systems for gl...