Every layer of Nanoconda's stack — from hardware to protocol — is engineered to remove latency. Here's exactly how.
To build a fast DMA platform, you need to defeat both — not just one.
Light travels through fiber optic cable at roughly 5 microseconds per mile. The further your algorithm is from the CME matching engine in Aurora, Illinois, the more inescapable latency you accumulate.
Every additional network "hop" — through a router, to a separate risk server, across a datacenter — adds latency that cannot be engineered away. Physics is non-negotiable.
Even at the ideal physical location, software overhead can introduce hundreds of microseconds. The Linux kernel, TCP/IP stack, context switches, memory copies, and locks all eat latency one layer at a time.
Most off-the-shelf FIX engines and DMA platforms were not built for nanosecond-scale execution. They pay unnecessary overhead at every hop in the data path.
Three engineering decisions that eliminate latency at every level of the stack.
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Despite the complexity underneath — kernel bypass, shared memory, lock-free queues — the API your quants write against is clean and minimal. Implement callbacks, call nanoconda::start(), and your strategy is live.
The same code runs in the simulator, against PCAP or DataBento DBN replay, and in production — no environment-specific branches, no integration rewrites between stages.
Full documentation at nanoconda.com/docs.
Request a Technical WalkthroughFull compliance with current CME exchange specifications — maintained as standards evolve.
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Your strategy runs at the exchange — without you managing a single server.
The Colocated Container plan gives you a dedicated, fully managed environment inside CME's colocation facility — physically adjacent to the exchange's matching engines.
Institutional security, audit trails, and isolation — required by any serious trading operation.
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Schedule a call with our engineering team for a detailed architecture walkthrough.