In this webinar we will use regression and machine learning techniques in MATLAB to train and test an algorithmic trading strategy on a liquid currency pair. Using real life data, we will explore how to manage time-stamped data, create a series of derived features, then build predictive models for short term FX returns.
The XSEDE new user training is a 90 minute webinar providing general overview and reference information for first-time users of XSEDE resources at any of XSEDE’s service providers. This session is particularly targeted at users who have just received their first allocation on XSEDE. It is not intended to teach programming, numerical methods, or computational science, but rather to provide a quick tour of what XSEDE has to offer.
The Department of Computational Mathematics, Science & Engineering will three 1-credit modular courses that provide training in Programming for Bioinformatics, Statistical Analysis & Visualizaion, and Transcriptomic Data Analysis.
High performance computing specialists and economists whose research either uses or could benefit from high performance computing applications are invited to attend or present. CADRE is specifically interested in presentations that can connect new or emerging applications to estimation or simulation approaches similar to those done in the economic or financial literature.