Low-Latency CME Market Data: What's Physically Realistic (And What's Marketing)
A no-nonsense guide to CME market data latency in 2026: what colocation actually buys, what a direct MDP 3.0 feed costs, why 'ultra-low latency over the internet' is physics-denial, and how to reason about the latency budget of a WebSocket API — with our own measured pipeline numbers as a worked example.
“Low latency” is the most abused phrase in market data. Every vendor claims it, almost none define it, and the difference between the fastest and slowest legitimate answers spans six orders of magnitude — from microseconds to minutes. This guide puts real numbers on the tiers, so you can decide what your strategy actually needs and stop paying for adjectives.
The latency ladder, with numbers
| Tier | Wire-to-you | What it takes | Rough cost (2026) |
|---|---|---|---|
| Colocated, direct MDP 3.0 | single-digit µs | Rack in Aurora, feed handlers, direct exchange agreements | thousands/mo minimum |
| Proximity hosting + vendor feed | ~0.1–2 ms | Server near the vendor’s edge, binary protocol | hundreds–thousands/mo |
| Internet + developer API (same city/continent) | ~5–40 ms | A WebSocket connection | tens of $/mo |
| Internet, cross-ocean | ~80–200 ms | Same, plus physics | tens of $/mo |
| Delayed feeds | 10–15 min | Nothing | usually free |
Two facts follow immediately. First: once the public internet is involved, geography dominates everything the vendor does. Second: the jump from “internet” to “microseconds” isn’t a pricing tier — it’s a different business, with very different costs.
Decompose the claim: pipeline vs. network
Any honest latency statement about an internet-delivered feed has two parts:
1. Pipeline latency (vendor-controlled). Exchange packet arrives at the vendor → parsed, normalized, serialized → leaves the vendor’s socket. This is engineering: language choice, zero-copy parsing, how many services the tick crosses. A tight Rust pipeline does this in under a millisecond; a chain of microservices with JSON re-serialization at every hop can burn tens of milliseconds before the tick ever leaves the building.
2. Network RTT (physics-controlled). The vendor’s edge → your machine. Frankfurt to a US-East edge is ~80–90ms round-trip no matter who your vendor is. Nobody streaming over the public internet skips this, and any marketing page that implies otherwise is lying by omission.
This decomposition is exactly how we quote tickstream’s numbers: under 1ms ingest-to-egress inside the pipeline, measured — your network RTT comes on top. We publish it that way because the alternative (“blazing fast!”) is unfalsifiable.
What your strategy actually needs
The only question that matters: how fast does your edge decay?
- Microseconds–milliseconds decay (market making, latency arb, queue games): you need colocation and a direct feed. No API over the internet — ours included — is the right tool. This tier is real, and it’s expensive for real reasons.
- Seconds decay (aggressive intraday execution, news reaction): proximity hosting plus a fast vendor feed is usually enough; measure your full loop before paying for more.
- Minutes-to-days decay (signals on bars, swing entries, EOD systems — the overwhelming majority of retail and indie quant strategies): tens of milliseconds of feed latency is irrelevant to your P&L. Every strategy battery we’ve published — and the live paper algos running on our own feed — operates at this tier, on the same internet-delivered data we sell.
The expensive mistake isn’t buying too little latency; it’s buying too much. A colocated setup for a strategy that holds positions for three hours is a monthly invoice with no offsetting edge.
Reading vendor claims: a checklist
- Is the measurement point stated? “Sub-millisecond” from where to where? Pipeline-internal, or wire-to-client-in-Ohio?
- Is your geography priced in? If the number doesn’t mention RTT, it silently assumes you’re next door.
- Is it measured or asserted? Look for a method, not an adjective.
- Does the tier match the protocol? Microsecond claims delivered over JSON WebSockets should raise an eyebrow — that combination doesn’t exist in nature.
- Does anything run on it? A vendor whose own systems trade (or publicly track) on the feed they sell has skin in the game. Our algo track records run on the same feed, gaps and losses included.
The honest bottom line
Low latency is a spectrum, and the internet tier of it — single-digit milliseconds of pipeline plus your RTT — is enough for the vast majority of systematic trading. If your edge genuinely decays in microseconds, budget thousands per month and put hardware in Aurora. If it doesn’t, a flat-priced developer feed with a measured, published pipeline number gives you everything latency-wise your strategy can use — and you can verify it yourself on a free delayed tier or against our historical tick archive before paying anything.
Frequently asked questions
What counts as low latency for CME market data?
It depends on the tier. Colocated firms in Aurora measure wire-to-strategy in single-digit microseconds. A well-built vendor feed consumed from a nearby datacenter arrives in low single-digit milliseconds. Anything delivered over the public internet adds your network round-trip on top — typically 10–40ms within a continent, 80–200ms across an ocean. A provider claiming 'ultra-low latency' without saying where you must be located to get it is selling adjectives, not physics.
Do I need colocation for my trading strategy?
Only if your edge decays in microseconds to low milliseconds — market making, latency arbitrage, queue-position games. Strategies that hold for minutes to days (that's most retail and indie quant systems, including every strategy we've published) are completely insensitive to tens of milliseconds of feed latency. Our own live paper algos run on the same internet-delivered feed we sell, which is the honest proof of what that tier supports.
How fast is a WebSocket market data API, really?
Decompose it: exchange-to-vendor (the vendor's feed handler and normalization pipeline — the only part they control), then vendor-to-you (network RTT — pure geography). A good pipeline processes ingest-to-egress in under a millisecond; we measure ours at under 1ms and publish that number. Your network RTT comes on top, and any provider quoting one number for both parts without separating them is hiding the part they can't control.
Is a direct MDP 3.0 feed worth it?
For a latency-critical firm, yes — that's what it exists for. For everyone else, it's a binary multicast protocol that assumes colocation-grade networking, feed-handler development, and CME direct-access agreements, with all-in costs in the thousands per month before you've parsed a tick. If your strategy survives a 20ms feed, the direct path buys you nothing but invoices.