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As many users pointed out, Bitcoin trades 24/7 and price swings are frequent on weekends. We decided therefore to replace the current BTC Futures with the spot BTC price, which you will be able to use also on weekends.

Do not worry about your past submissions: they will be kept running and take part to the 1st BTC contest in parallel to the new ones.

And for this contest we are raising your submission cap from 5 to 15, so that you can submit more spot systems in addition to the Futures ones.

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We released an example showing how to use a slightly modified version of the Quantiacs backtester for performing retraining of a machine learning method using retraining intervals chosen by the user. The resulting simulation is very fast. Details can be found at:

and the working example can be found in the Examples section of your Development area.

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We implemented in Quantiacs data from the International Monetary Fund.

Data for 39 currencies and 76 commodities are available for research and their use is shown in two templates available in your private Examples section and on GitHub: currencies and commodities.

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Photo by Photo by

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*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

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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...