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

Quantiacs provides users with macroeconomic data from the U.S. Bureau of Labor Statistics. These data can be used on the cloud or downloaded locally for further analysis. In this article we show how to use macroeconomic data for developing a trading algorithm.

Bureau of Labor Statistics Data

Hello quants! We released 3 new assets you can use for developing your algorithms:

1. F_NH, the Nifty Futures. This contract is the most liquid contract in the Indian derivative markets and its underlying is the Nifty Index, the benchmark for the Indian stock market.

2. F_DE, the MSCI Emerging Markets Index Futures. The underlying index is the MSCI Emerging Markets Price Return Index denominated in USD.

3. F_QT, the Renminbi Futures, tracking the exchange rate between the Chinese Renminbi and the US Dollar.

In addition, so f...

*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...