When using 'R', Python (and most other development languages), virtually any analytic report can be created using your Monitor+ market data tools. 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 that cover topics like 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 reports. Most data scientists and analysts are familiar with these tools and can be using them and productive almost immediately. We provide native “R” and Python libraries making report development fast as well as making 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 (including time series analysis, correlation, seasonality) 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. XLerate has technical analysis charts and the generated Excel reports can be refreshed making an ideal back-end worksheet to simplify creating and updating of custom 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.