The need for speed
In today’s high-frequency trading landscape, stakeholders expect rock-solid connectivity and exceptional network performance. The ability to capture, process, and analyse vast volumes of data at speed to detect performance loss and resolve issues fast is a key differentiator for trading venue providers and their clients.

However, firms face many challenges that are not adequately addressed by today’s available technology:

• Quants review financial data but this often misses information about the performance over the network, and it misses latency information.

• Certain quant analysis is not fast enough to feed back into live trading decisions, or is not accessible by operational teams who need to use it to inform real-time intraday decisions about connectivity, infrastructure, counterparties, etc.

Recent advances in AI and GPU technology have yielded many innovations that attempt to meet this challenge. Of these, AI-powered edge analytics offers the most promise in addressing these issues.

This paper describes how the Beeks Analytics architecture contributes to and enhances customers' existing AI strategies; and then expands on how the Beeks Market Edge Intelligence™ product supplements this further by delivering low latency AI-powered analytics closer to the source data.:

Market Edge Intelligence™ is available as a standalone product to operate on customer’s own data (Analytics Streams, PCAPs) that they collect from the edge but struggle to analyse.

Market Edge Intelligence™ is also available as part of Beeks Analytics.