Direct Answer


Market data latency is the time delay between a trade or quote occurring at the exchange and that information being processed by a trading system. To eliminate this lag, firms must optimize every “hop” in the data journey, moving from slow API polling and heavy middleware to high-performance binary streams and optimized network paths.

 

Common Sources of Market Data Lag

Source Cause Impact
The Feed API polling or aggregation 100ms – 1s delay
Network Long distances or congested routes 10ms – 100ms delay
Distribution Multiple internal server “hops” 5ms – 50ms delay
Client-Side Heavy charts or browser limits 50ms – 500ms delay


The “Hops” Problem

Every time data is converted, buffered, or moved through a server, latency is added. Many enterprise platforms add significant “middleware” lag because the data passes through multiple internal distribution layers before reaching the user.

Feature NxCore Enterprise Platforms
Architecture Lightweight binary stream Heavy middleware layers
Speed Designed for sub-millisecond delivery Variable (10ms–100ms+)
Hops Minimized intermediary processing Multiple internal routings
Complexity Simple, single API Complex entitlements/caching


Frequently Asked Questions

  • What is “tick-to-trade” latency? It is the total time from receiving a market tick to the moment an order is sent back to the exchange.
  • How does co-location reduce latency? By placing trading servers in the same data center as the exchange, you minimize the physical distance data must travel.
  • Is internet-delivered data ever sub-millisecond? Generally no. While the provider feed may be fast, the public internet introduces “jitter” and routing delays that make sub-millisecond performance inconsistent.


Who This Is For (and Who It’s Not)

Who This Is For

  • Trading infrastructure engineers tasked with reducing “slippage.”
  • Firms building latency-sensitive execution or risk management systems.
  • Automated trading desks where microsecond-level performance is a requirement.

Who This Is NOT For

  • Low-frequency strategies or long-term investors.
  • Retail dashboard users where a few hundred milliseconds of lag is acceptable.