This repository contains some Python/Jupyter files that demonstrate the functionality of the Sarus Monitor+ API. The demos use some historic European Central bank rates to show some basic to advanced analytic reoport notebooks. The reports are designed to demonstrate just what can be easily achieved with a few lines of Python code and are not in ANY way meant to be solutions. This repository is mainly used as a test bed to test for running the demos in Binder.
Monitor+ is a commercial JSON Web API that provides easy access to a huge range of historical reference market data from stock exchanges, commodity exchanges, proprietary market data providers and independent pricing agencies as well as currencies, global indices and more.
Monitor+ is an extremely powerful API, with comprehensive data preprocessing, fills, lead/lags, custom averages and more. The Monitor+ API enables subscribers to easily receive market data for multiple datasets in a per date, time series or row by column JSON format.
With just two HTTP requests subscribers can authenticate and receive values for any number of datasets permitted with their subscription.
You can find out more about Monitor+ by visiting our web site www.sarus.com where full details including API documentation are available.
If you have technical or product questions after visiting www.sarus.com then we'll be glad to help. Simply use the contact page at www.sarus.com or drop an email to support@sarus.com and we'll be glad to help.
Prices start from justat $160 per month including premium FX and stock market data. If you are interested in subscribing to Monitor+, you can get in touch with us via the contact page at www.sarus.com or drop an email to support@sarus.com and we can discuss your market reference data needs.
If you have commercial grade time series data that you feel could create a new channel to market/revenue stream for you then we can help. You can get in touch by emailing support@sarus.com and together we can discuss how to make this happen.
The Monitor+ library uses Python 3.x.
We will have a similar "R" repository available shortly after this Python repository is completed (and the "Under Construction" banner comes down).