Welcome to the Quantlab® Community
We are a growing community of developers, traders and analysts who are passionate about quantitative analytics, Quantlab and its expression language, Qlang. Get started by downloading Quantlab and reading the docs!
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Get started in 3 easy steps
Start with the docs and manuals for Quantlab. If it's your first time, dive into the introduction and our guide on getting started for a smooth experience
Download and set up Quantlab for your initial environment. The free version includes pre-built functions for a quick start. Visit Downloads for more details on getting started efficiently.
Join discussions in forums with our developer community. Explore topics like function libraries, Qlang, and documentation. Engage when you're ready.
Quantlab features
Fast and efficient
Quantlab is powered by Qlang – the programming language specifically built for quantitative financial analytics. Qlang automatically compiles to highly efficient machine code using the LLVM toolchain, and offers the perfect combination of ease of use and high performance.
Easy to learn
Qlang was created for the non-professional programmer – someone with a deep understanding of trading and quantitative analytics, but not necessarily a programming background. It combines the object-oriented nature of languages like C# and C++, with the vector and matrix expansion found in numerical computing.
Financial library
Quantlab comes with an extensive library supporting most areas of quantitative analytical finance. It includes a cross asset financial library supporting pricing, analytics and risk modelling for front-office and middle-office use, as well as general functionality, such as GUI, I/O, http, database, math, concurrency etc.
Real-time driven
Quantlab advocates data-driven programming, with functions seamlessly accessing real-time feeds like Bloomberg and Refinitiv, ensuring robust, easily supported solutions.
For developers
Quantlab's IDE features multi-thread support for programming and debugging. Craft ad-hoc workspaces for daily tasks or large-scale solutions for trading and risk.
And end-users
Quantlab is the dynamic user environment for workspaces, auto-fetching data from your database and connecting to real-time feeds like Bloomberg/Refinitiv upon opening.
