How fast are orders filled? Typical order‑execution speeds (milliseconds) and how to measure them

Execution speed describes how long it takes for an order you place to be acknowledged and filled by the broker or exchange. Traders often think in milliseconds because small time differences can change slippage, requotes, or whether a scalping opportunity disappears. Below I explain the typical ranges you’ll see, what moves those numbers, how to measure a platform’s average execution speed, and what speeds matter for different trading styles. Trading carries risk; this is general information and not personalized advice.

What does “order execution speed” actually mean?

When you click Buy or Sell, a chain of events starts: your client terminal sends the order, the broker’s infrastructure receives it, the order is routed to a liquidity provider or matching engine, and a confirmation travels back. Execution speed is the elapsed time from your order submission to the confirmation that the order was filled. Many vendors report a simple average, but the distribution (median, 95th percentile) and conditions (peak hours, volatile news) tell a more useful story than a single number.

Practically speaking traders track several related measures: round‑trip latency (milliseconds between submit and confirm), fill latency on the broker’s server logs (internal timestamps), and execution quality indicators such as slippage, requote and rejection rates. A fast number with poor fill quality is not helpful, so both speed and quality matter.

Typical execution‑speed ranges you’ll encounter

Execution speeds vary a lot depending on the venue, infrastructure and your connection. The ranges below are typical; think of them as broad bands, not guarantees.

Ultra‑low‑latency, co‑located HFT systems
Firms that colocate servers next to exchange matching engines and use specialized hardware (FPGA NICs, kernel‑bypass networking) operate at sub‑millisecond and even microsecond levels. For these professional setups you may see tick‑to‑order latencies measured in microseconds or fractions of a millisecond.

Institutional ECN / DMA liquidity (fast retail ECN brokers)
Retail ECN and DMA brokers that route directly to tier‑1 liquidity often average in the low single‑digit to low double‑digit milliseconds when measured from a nearby VPS or colocation node. Typical ranges for well‑provisioned ECN paths are roughly 10–80 ms across global routes, with many top ECN brokers returning fills in under 50 ms on major pairs when conditions are calm.

STP and retail market‑maker models
Straight‑Through Processing (STP) and market‑maker execution can be more variable. Average speeds commonly fall between 50–200 ms depending on routing, whether a trade is internalized, and the broker’s server locations. During quiet markets many trades will fill faster; during spikes latency and rejection rates may increase.

Retail mobile/web platforms and remote connections
If you trade from a laptop at home or a mobile network, your personal connection adds latency. A fast broker plus a poor local connection can push the round‑trip time into the hundreds of milliseconds. Typical retail experiences (from home networks to brokers not colocated) often land in the 50–300 ms range.

Volatility and peak‑load effects
During major news or flash events even fast brokers can see spikes well beyond their averages — 300 ms or more is not unusual during stressed liquidity conditions. That’s why looking at percentiles (for example, what % of orders execute within 50 ms, 100 ms) is often more helpful than a single average.

What affects execution speed?

Multiple layers affect the time your order takes to fill: your device and internet path, the broker’s gateway and matching infrastructure, the chosen execution model (ECN/STP/market maker), and market liquidity. Server location matters — each extra thousand kilometres adds milliseconds of propagation delay. Software design also matters: whether the broker uses optimized binary protocols or text‑based messaging will change parse and routing times. Finally, order type (market vs limit), size and the currency pair chosen all change the practical fill time.

Imagine this concrete example: you run an MT5 terminal on a VPS located in London while your broker’s servers are in Equinix LD4 (London). Your ping to the broker is 2 ms; under normal conditions the broker routes to an ECN and you see fills in ~5–15 ms. Move your terminal to a home Wi‑Fi connection in a different country and you may add 50–150 ms before your order even reaches the broker.

How to measure your platform’s average execution speed (step‑by‑step)

Measuring execution speed yourself requires repeatable tests and enough samples to smooth random noise. A simple approach works well for retail traders.

First, isolate the client side by using a VPS in the same datacenter as your broker if possible; this removes your home internet as a variable. Run a sequence of small market orders or use an automated script on your trading platform to submit 100–1,000 small orders over several sessions and record the timestamps for submission and confirmation. Most modern platforms and APIs let you log millisecond timestamps.

Second, measure across different times: quiet sessions, the London–New York overlap, and after major news. Compute mean, median and 95th‑percentile latencies rather than only the mean; the 95th percentile shows the “worst‑normal” behavior that matters for risk. Also track slippage and fill‑rates alongside latency so speed isn’t considered in isolation.

Third, use third‑party monitoring tools and broker transparency reports as a cross‑check. Services that log order performance can show long‑term behavior; broker post‑trade reports sometimes publish execution statistics (percent executed at or better than NBBO, average time to fill). Be wary of marketing claims — confirm with your own tests.

What speeds matter for different trading styles?

Scalpers and HFT strategies need the lowest latency and the tightest distribution — microseconds to single‑digit milliseconds for professional HFT, and sub‑50 ms for retail scalpers aiming to avoid slippage. Day traders and most automated strategies benefit from stable execution in the tens to low hundreds of milliseconds; swing traders care more about execution quality and price than a few milliseconds of latency. News traders should plan for higher variability and wider spreads during announcements.

Risks and caveats

Interpreting execution speed requires caution. Brokers’ published numbers are often best‑case averages under optimal conditions; real‑world latency varies by route, pair, order size and time of day. Measuring on a demo account can give a good idea, but demo environments are sometimes routed differently from live accounts. Network jitter — short bursts of latency — can be more harmful than a slightly higher average because it causes inconsistent fills for automated strategies. Finally, never assume speed alone determines profitability; slippage, spreads, and execution fairness are equally important.

Trading carries risk. Faster execution does not guarantee better trading outcomes, and these notes are educational, not personalized advice. Always test with small sizes and verify claims before relying on a platform for time‑sensitive strategies.

Key Takeaways

  • Typical execution speeds vary widely: microseconds for colocated HFT, single‑digit to low‑double‑digit milliseconds for fast ECN/DMA routes, and tens to hundreds of milliseconds for many retail setups.
  • Measure mean, median and 95th‑percentile latencies using automated tests and a VPS near the broker to get reliable figures; always track slippage and fill rate alongside latency.
  • Which speed you need depends on your style: scalpers and HFT need the lowest and most consistent latencies, while swing traders prioritize execution quality over raw milliseconds.
  • Claims about “average speed” can be optimistic; verify with your own tests and remember that market volatility and your internet path materially affect real performance.

References

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