A Django-based Foreign Exchange data toolkit. Part of the Valuehorizon application ecosystem.
A Django-based Foreign Exchange data toolkit. It provides time-series functionality with built-in statistical plugins such as volatility and returns. You can also write your own statistical plugins. It also includes documentation, test coverage and a good amount of sample data to play around with. This app is a part of the Valuehorizon application ecosystem.
Start by creating a new virtualenv for your project
Next install numpy and pandas and optionally scipy
pip install numpy==1.1.0 pip install pandas==0.13.0
Finally, install valuehorizon-forex using pip:
pip install valuehorizon-forex
Let’s start by loading some sample data.:
python manage.py load_fixtures --settings=my_settings_file
This dataset contains the exchange rate data for the US Dollar to Euro (USD/EUR) from 2013-01-01 to 2015-12-31. In a django shell, we can try the following:
euro = Currency.objects.get(symbol="EUR")
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