DATA ANALYSIS, SIMPLIFIED
A DIFFERENT APPROACH
Our design philosophy rests on the principle of flexibility. A user should be able to create any data structures and pass them from one code block to another, unlike most existing solutions, which limit users to predefined data types.
Our initial focus was on the financial sector to automate data mining and algorithmic trading using R and Python. At the same time, you can easily extend or modify default libraries to suit your domain-specific requirements.
SAVED DEVELOPMENT TIME
We believe that the requirements of every industry are unique and that our approach allows for a better fit than other existing solutions allowing to reduce time on software development.
Please note that the library folder can be specified in settings (accessible via the “gear” icon). By default, if the application folder is located in the folder “Desktop” then the app will look for library (folder “Library”) in the folder “Desktop” as well.
1. Install R on your system and make sure it’s in the $PATH (alternatively, you can set search paths for R, Python, etc. executables in “Settings”(“gear”) menu, separating the paths by a semicolon)
2. Unpack the archive
3. Make sure the binary has permissions
to be executed as a program (for Linux and Mac users)
4. Run the binary
5. Read the “Getting Started” and “Introducing Signals” posts in
the forum section of this website.