CQC Releases Trading Interface TA> Under Open Source Licence

CQC has open-sourced a cross-platform trading interface for financial securities. TA> was developed wholly in-house to facilitate the testing and production implementation of our AI driven trading algorithms known as ARROW>

As well as aiming for flexibility, TA> is designed to be lightweight. For extra speed and efficiency developers and users are recommended to wrap trading logic classes around C++ classes using a popular cross-language wrapper such as SWIG or Cython where possible.

The GitHub repository is copied in the link below. By publishing TA> we have provided a vital resource with flexibility and customisable modules for both development and back-testing as well as live trading and sub-millisecond reporting, and ease of use for a wide variety of Direct Market Access (“DMA”) trading platforms. With AI driven algorithms improving in speed and effectiveness we believe that the relatively mundane but critical “last mile” should not hold up the far more valuable work of bringing actual strategies to market.

Click Here for the TA> GitHub repository

May 30, 2017

Collaboration with NQIT

Cambridge Quantum Computing are very pleased to have won a prestigious EPSRC grant to develop a compiler module for the UK’s flagship quantum computing hub in Oxford, NQIT.

Building a quantum computer as a network of smaller devices is central to the NQIT idea. However, quantum algorithms are typically given in a high level mathematical language, and are usually not designed with a granular network in mind. CQC’s compiler project, that is built on groundbreaking work completed last year, will address this problem by exploring the challenges and potential gains of compiling quantum algorithms (or quantum programs) onto a network quantum computer such as NQIT.

CQC’s compiler module will be able to evaluate alternative physically realistic network graphs allowing us to understand how much connectivity is useful for NQIT and inform us how one of the first large scale quantum computers can be made to operate at maximum efficiency.

March 12, 2017

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