Case Study: Leading Market-Making Firm optimizes execution and reduces market-data distribution capacity by ~30% with Corvil

Quantitative market maker optimizes alpha and execution with Corvil

A quantitative market maker providing liquidity in U.S. exchange‑traded equity options—operating across 15+ markets and handling roughly 3M messages per second—faced increasing complexity and volatility in market data and news feeds. Shared distribution infrastructure, unpredictable volume spikes during news events, and the demands of ultra‑low‑latency trading made capacity management and execution reliability harder, threatening stale or gapped market data at critical times.

The firm deployed Corvil analytics across multiple data centers to monitor market data, news feeds and underlying infrastructure, delivering visibility into feed gaps and handler health, capacity and application performance, tick‑to‑order correlation, and time‑sequenced records for analysis. The solution cut distribution capacity consumption by about 30%, improved data reliability during dynamic periods, reduced the risk of stale/gapped data, and shortened mean time to identify and resolve issues—improving execution and enabling better algorithmic optimization.