When using 'R', Python (and most other development languages), virtually any analytic report can be created using Monitor+. Ad hoc reports can be created quickly and easily utilizing the hundreds of analytic functions that are freely a available such as averages, seasonality, correlations, regressions and ARIMA. There are functions for quant research, backtesting, machine learning, forecasting and more. There are no artificial limits to the number (or complexity) of reports that can be created. Reports can integrate with customers own data and be refreshed and updated with the click of a button.

Jupyter can be used with 'R' and Python to create powerful, detailed, interactive market data analytic notebook reports. Data scientists, analysts and developers will be familiar with these tools and can be productive almost immediately.

We provide native 'R' and Python libraries that make report development fast and, with our developer tools and professional documentation, we make it simple to outsource or create in-house custom reports and applications for even the smallest company.

Our XLerate for Excel provides a range of built in interactive reports and allows ad hoc reports to be created in seconds. XLerate has an intuitive point and click interface that makes it easy to create, share and update reports.

All reports can be shared and accessed from anywhere 24/7, making them perfect for working at home, in the office or when traveling.


Subscribers have full access to a range of working sample reports that can be used straight out of the box. They demonstrate how easily powerful analytic reports can be created and range from simple averages, seasonality, time series analysis & comparison to ARIMA, basic forecasting and more.

The sample reports are are listed below. They help subscribers to get productive quickly and can be easily adapted to suit any requirements.

First select the Development language:

Click on any report name below to see its details (only subscribers can access all the report features).
Report name
Level     Status
You can view, run or download the sample reports. Currently only Python reports can be run.

You need to be logged in to access all the features of all the reports.


If you'd like more information about custom report development, analytic functions or using Monitor+ with other development languages then please get in touch and we'll be glad to help.

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