EUR/USD volatility: average range by hour and session
Euro / US Dollar (euro-dollar) · 2016–2025 · 2,595 trading days
EUR/USD moves 77.4 pips in an average day. The busiest hour is 14:00 UTC at 24.5 pips, followed by 13:00 UTC at 23.5. London is the busiest session, covering 81% of the daily range on its own.
What is distinctive about EUR/USD
The most heavily traded pair in the world — per the BIS Triennial Central Bank Survey 2022 — is not a wide one: 77.4 pips a day, 0.77× USD/JPY. Its mean sits only 1.10× above its median of 70.4, the tightest gap of any major here — the average is describing an ordinary day rather than being dragged around by a few extraordinary ones.
The widest single day was 425.9 pips, on 2016-06-24 — 5.5× the average, where the same calculation gives 13.6× for GBP/JPY and 13.2× for GBP/USD. If a pair here can be sized with confidence, it is this one.
The trade-off is concentration. London alone accounts for 81.4% of the daily range against Tokyo's 44.4%, and all four of the busiest hours fall inside the European and US afternoon. There is no Asian-session peak to trade.
When it moves — average range by hourUTC
How far price travels in an average hour, measured high-to-low on hourly candles across every trading day in the window.
| Hour | Avg range | Hours | |
|---|---|---|---|
| 00:00 | 11.8 | 2,595 | |
| 01:00 | 11.7 | 2,595 | |
| 02:00 | 9.7 | 2,595 | |
| 03:00 | 8.2 | 2,595 | |
| 04:00 | 7.6 | 2,595 | |
| 05:00 | 9.4 | 2,595 | |
| 06:00 | 14.5 | 2,595 | |
| 07:00 | 19.5 | 2,595 | |
| 08:00 | 19.4 | 2,595 | |
| 09:00 | 16.9 | 2,595 | |
| 10:00 | 15.3 | 2,595 | |
| 11:00 | 16.2 | 2,595 | |
| 12:00 | 22.0 | 2,595 | |
| 13:00 | 23.5 | 2,595 | |
| 14:00 | 24.5 | 2,595 | |
| 15:00 | 21.4 | 2,595 | |
| 16:00 | 16.6 | 2,595 | |
| 17:00 | 14.1 | 2,595 | |
| 18:00 | 13.8 | 2,595 | |
| 19:00 | 11.8 | 2,595 | |
| 20:00 | 9.1 | 2,595 | |
| 21:00 | 7.3 | 2,255 | |
| 22:00 | 6.7 | 2,072 | |
| 23:00 | 7.4 | 2,071 |
Tokyo, London or New York — where the range happens
High-to-low across each session window on the same day. The London and New York windows are left overlapping rather than cut apart, because the hours they share are the busiest of the day and splitting them would hide that. Windows are fixed in UTC, so under daylight saving they sit an hour off the local clock.
| Session | Window | Avg range | |
|---|---|---|---|
| Tokyo | 00:00–08:00 | 34.4 | |
| London | 07:00–16:00 | 63.0 | |
| New York | 12:00–21:00 | 57.3 |
Which weekday moves most
Range only. Whether a given weekday closes higher is not shown, because for every pair published here it stays within sampling noise of a coin flip — 3 of the 50 pair-and-weekday combinations clear the usual significance bar, and 2.5 would clear it by chance alone.
| Weekday | Avg range | Days | |
|---|---|---|---|
| Monday | 68.1 | 518 | |
| Tuesday | 75.0 | 520 | |
| Wednesday | 80.3 | 518 | |
| Thursday | 84.7 | 520 | |
| Friday | 79.0 | 519 |
Is there seasonality? Month-by-month
Average change from the first open to the last close of each calendar month, and how often that month closed higher.
| Month | Avg change | Closed highern = 10 | Avg range | |
|---|---|---|---|---|
| Jan | +0.18% | 4/10 | 80.2 | |
| Feb | -0.65% | 3/10 | 76.4 | |
| Mar | +0.68% | 5/10 | 90.5 | |
| Apr | +0.33% | 5/10 | 78.7 | |
| May | +0.07% | 6/10 | 73.8 | |
| Jun | +0.33% | 5/10 | 82.5 | |
| Jul | +0.28% | 7/10 | 75.3 | |
| Aug | +0.13% | 4/10 | 75.3 | |
| Sep | -0.82% | 4/10 | 75.9 | |
| Oct | -0.75% | 3/10 | 69.0 | |
| Nov | +0.42% | 6/10 | 78.9 | |
| Dec | +0.93% | 8/10 | 71.7 |
Ten years means ten observations per month. That is enough to describe what happened and not enough to predict what will: across all 120 month-and-pair combinations published here, not one is lopsided enough to rule out chance.
How much the range changes year to year
The ten-year average hides how much the market changed inside it. Sizing a position off the number at the top of this page, without checking which of these years it resembles, is how a stop that looks generous turns out not to be.
| Year | Avg range | Days | |
|---|---|---|---|
| 2016 | 90.5 | 260 | |
| 2017 | 76.8 | 259 | |
| 2018 | 84.8 | 259 | |
| 2019 | 54.8 | 259 | |
| 2020 | 83.6 | 260 | |
| 2021 | 62.5 | 260 | |
| 2022 | 101.4 | 260 | |
| 2023 | 77.1 | 259 | |
| 2024 | 61.1 | 260 | |
| 2025 | 81.3 | 259 |
The three largest days in the window
Named rather than merely counted, so the figure can be checked. Each is a real session: open the pair on the chart, scroll to the date, and the high-to-low should match.
| Date | Range that day | |
|---|---|---|
| 425.9 pips | Open the chart | |
| 395.8 pips | Open the chart | |
| 392.5 pips | Open the chart |
Frequently asked
What time of day does EUR/USD move the most?
14:00 UTC, which averages 24.5 pips of range — about 3.7× the quietest hour at 22:00 UTC (6.7 pips). Measured across 2,595 trading days, 2016–2025.
What is the average daily range of EUR/USD?
77.4 pips, with a median of 70.4 pips. The mean sits above the median because a handful of outsized days pull it up; the widest single day in the window was 2016-06-24 at 425.9 pips.
Is EUR/USD more volatile in the Tokyo or the London session?
London. Tokyo averages 34.4 pips of range against London's 63 pips.
Which weekday does EUR/USD move the most?
Thursday, averaging 84.7 pips. The quietest is Monday at 68.1 pips. Direction is a different question: no weekday closes higher often enough to separate it from a coin flip.
Does EUR/USD show seasonality?
Across 2016–2025, December was the strongest calendar month at +0.93% on average, closing higher in 8 of 10 years. September was the weakest at -0.82%. With only 10 observations per month this is a tendency, not a tradable edge.
How these numbers were produced
Built from the Dukascopy public historical feed (ticks → M1 → H1) over 2016-01-04 to 2025-12-31. One pip is 0.0001. Weekends are excluded, as are days with fewer than 18 hourly candles — holidays, half sessions and the few hours around the weekly open. Days are bounded in UTC. Last regenerated 2026-07-26.
Source
Price data: Dukascopy Bank SA — historical data feed. Formiq does not originate these prices; it aggregates hourly candles from that feed and publishes the result. The same data drives the Formiq chart, so any figure in the tables above can be checked by opening the date and hour it refers to.