With high-frequency, algorithmic, and quantitative trading becoming the norm for today’s financial services companies, everyone is looking for a technical edge. Companies are racing to beat each other on latency, performance, and analytical complexity. At the same time, they need to maintain transactional-level compliance and risk-management controls. As a result of these requirements, firms engaging in high-frequency trading face unprecedented technical challenges – and they are looking to in-memory computing for answers.
This paper looks at the current state of high-frequency trading – why it’s popular and what types of strategies and technologies are being used – and then explores how in-memory computing can meet the technological challenges and increase profits within this market segment.