About Quantlab®
Quantitative analysis used to imply tedious programming and maintenance of custom built spreadsheets. Quantlab solves these problems by giving the quantitative analyst a comprehensive and useful framework for financial calculations based on time series data and streaming realtime data. It comes with an extensive library of financial functions and classes, thus making programming fast and easy. Using a simple drag-and-drop technique the analyst creates tables and graphs based on functions written in Qlang. The analyst’s work is saved as a workspace, formatted for the use of other analysts, traders or external customers in the User edition of Quantlab®.
Power of Qlang
Quantlab is powered by our own object oriented programming language Qlang with many unique features making it particularly well suited for quantitative analysis. It compiles into highly efficient machine code and comes with an extensive library of financial functions and classes, thus making programming fast and straightforward.
Quantlab Tutorials
We have gathered some of the most common questions from our users in a series of instructional tutorials to help you get the most out of your Quantlab tool. Also watch some of the inspirational videos to find new ways to solve your analytical problems using Quantlab 101.
The story of how we got started on Quantlab
This journey started having discussions with a customer on how to do
quantitative analysis faster, better and bespoke.
The name "Quantlab" is born.
Integration of instrument library and user interface complete.
Complete separation of user interface and backend code interpreter.
Major release. Qlang now compiles to machine code using inhouse compiler and optimizer. 64-bit support.
API support for Python language. Multi-threaded debugger. Parallel computing.
We are also updating our logo.
