Case Study: Deep Value achieves low-latency, cost-effective high-performance algorithmic trading at scale with Digital Realty

Leverages Digital Realty to Deliver Advanced Trading Algorithms

Deep Value is a leading provider of algorithmic trading technology, supplying tick-by-tick trading algorithms to the New York Stock Exchange and major hedge funds. The firm runs container-based, distributed, fault-tolerant systems that split large back‑testing workloads across hundreds of nodes (turning a two‑day single‑machine run into about 15 minutes on a cluster). Rapid growth in high‑frequency trading and rising public‑cloud storage and compute costs forced Deep Value to find a more cost‑effective, low‑latency hosting strategy that could scale with its analytics needs.

Deep Value moved latency‑sensitive services to Digital Realty’s NYC2 facility (111 8th Ave) for close proximity to exchanges and colocated compute‑heavy analytics in Digital Realty’s high‑density NJR2 facility (100 Delawanna Ave) in Clifton, linking them with Metro Connect virtual cross‑connects. The private‑cloud colo solution gave Deep Value greater control of hardware and storage, lower operating costs and better ROI than public cloud, while preserving low‑latency connectivity and the ability to run large, tick‑level simulations across 300‑node clusters.

Deep Value

Paul Haefele

Managing Director of Technology