Low-Latency Crypto Trading Infrastructure Design

Summary

This article describes infrastructure choices for crypto trading systems where market data and execution speed matter. It recommends persistent WebSocket connections for time-sensitive market data and order flow, while reserving REST interfaces for less urgent tasks. It also discusses normalizing exchange-specific symbols and timestamps, and using compact serialization and ring buffers to process order-book updates without blocking execution.

For deployment, it contrasts co-location with cloud setups and suggests choosing nearby compute locations and networking configurations that reduce hops and jitter. The execution section covers smart order routing across fragmented venues, historical data for modeling fills, and monitoring measures such as order acknowledgement latency and exchange processing time. These are engineering principles, not a measured comparison of architectures: the article supplies no reproducible latency benchmarks or strategy results. It also contains vendor promotion, so claims about service quality and uptime should be treated as marketing rather than independent evidence.

Key ideas

• Use persistent WebSocket feeds for latency-sensitive market data and order flow.
• Normalize exchange schemas while keeping data processing efficient.
• Choose cloud locations and network paths to reduce latency and jitter when co-location is unavailable.
• Use smart order routing to manage fragmented liquidity and monitor execution latency.
• Validate fill assumptions with historical data, while recognizing that the article provides no independent performance benchmarks.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.