Be it positions, trades, risk exposure or profits, having the most recent, comprehensive information enables companies to move toward more automated decision making and choose the right course of action in a timely manner.
Case Study – Stock Exchange
A major stock exchange outgrew its market surveillance platform due to the increasing complexity of modern-day trading strategies. The exchange turned to iguazio for a platform that powers machine learning and continuous analytics to adjust in real-time to changing market behaviors.
Using iguazio, the exchange was able to build a system that could detect previously unknown market manipulation schemes with minimal false positives. The iguazio Unified Data Platform is used as a basis for data science R&D as well as for real time detection, in a way that enables quick iteration and deployment of new machine learning models, without requiring complex data pipelines or long data engineering cycles. Using this iterative agile approach allows the exchange to refine their models in reaction to changing market conditions, keeping them on top of market abuse and a step ahead of their competition.