with deep expertise in diverse machine learning technologies, digital signal processing, large redundant data bases, distributed parallel processing and market interfaces. Most of the team has worked together for over 20 years in signal processing and very large computing and automation systems. This includes work on critical global infrastructure projects. The Company employs and contracts with a number of machine learning experts from a variety of backgrounds in addition to finance professionals, quantitative investing experts, exchange specialists, academics, and fund managers.
FAE owns a very sophisticated automated trading platform and technology that leverages breakthrough digital signal processing techniques combined with cutting-edge innovations in neural networks to learn patterns in the market, predict price changes in domestic equities, and utilizes sophisticated portfolio optimization and execution strategies. FAE has created a custom-built data pipeline boasting memory equivalent to ~500 billion pages of standard printed text. This substantial investment in big data includes dedicated high-performance computing infrastructure comprised of high-core count servers, GPU accelerators, interconnected by high-speed fabric, as well as low-latency servers co-located at the NASDAQ data center with real-time interface and sub-millisecond resolution.
The FAE machine learning experts use a rigorous scientific method and research process combining data, technology, and mathematics to predict equity performance. Each of the hundreds of inputs and outputs of an investment model undergo a rigorous testing and approval process before models are ultimately released into production.
Focus AE Trading Platform was developed with support from software development tax credits provided by the Louisiana Economic Development’s office of Entertainment Industry Development.
