AUD/JPY volatility: average range by hour and session
Australian Dollar / Japanese Yen (Aussie yen) · 2016–2025 · 2,595 trading days
AUD/JPY moves 90.6 pips in an average day. The busiest hour is 14:00 UTC at 24.4 pips, followed by 01:00 UTC at 23.9. London is the busiest session, covering 67% of the daily range on its own.
What is distinctive about AUD/JPY
The only pair here whose centre of gravity is Asia. Tokyo accounts for 62.4% of its daily range, against 58.0% for AUD/USD behind it and 55.8% for USD/JPY. London contributes 67.0%, less than for any other pair here.
Two of its three busiest hours are Tokyo hours. First place still goes to 14:00 UTC at 24.4 pips, but 01:00 UTC (23.9) and 00:00 UTC (22.6) take second and third. No other pair here has that ordering. The window holds the Tokyo fixing at 09:55 JST and the usual release time for Australian economic data.
At 90.6 pips it is 0.90× USD/JPY, which is modest — but for anyone whose screen time is the Asian morning, it is the best-matched pair on this site.
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 | 22.6 | 2,595 | |
| 01:00 | 23.9 | 2,595 | |
| 02:00 | 18.6 | 2,595 | |
| 03:00 | 16.6 | 2,595 | |
| 04:00 | 15.1 | 2,595 | |
| 05:00 | 16.0 | 2,595 | |
| 06:00 | 18.3 | 2,595 | |
| 07:00 | 21.0 | 2,595 | |
| 08:00 | 20.3 | 2,595 | |
| 09:00 | 17.2 | 2,595 | |
| 10:00 | 15.2 | 2,595 | |
| 11:00 | 15.3 | 2,595 | |
| 12:00 | 19.3 | 2,595 | |
| 13:00 | 21.8 | 2,595 | |
| 14:00 | 24.4 | 2,595 | |
| 15:00 | 22.0 | 2,595 | |
| 16:00 | 16.6 | 2,595 | |
| 17:00 | 14.7 | 2,595 | |
| 18:00 | 14.3 | 2,595 | |
| 19:00 | 13.4 | 2,595 | |
| 20:00 | 11.7 | 2,595 | |
| 21:00 | 12.3 | 2,255 | |
| 22:00 | 13.0 | 2,070 | |
| 23:00 | 14.3 | 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 | 56.5 | |
| London | 07:00–16:00 | 60.7 | |
| New York | 12:00–21:00 | 55.7 |
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 | 82.1 | 518 | |
| Tuesday | 92.5 | 520 | |
| Wednesday | 93.3 | 518 | |
| Thursday | 95.2 | 520 | |
| Friday | 89.8 | 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 | -0.37% | 6/10 | 95.7 | |
| Feb | -0.97% | 5/10 | 89.8 | |
| Mar | +0.66% | 4/10 | 107.2 | |
| Apr | +0.15% | 6/10 | 101.6 | |
| May | +0.14% | 6/10 | 88.2 | |
| Jun | +1.59% | 7/10 | 95.1 | |
| Jul | -0.66% | 5/10 | 91.0 | |
| Aug | -0.41% | 4/10 | 85.2 | |
| Sep | +0.35% | 7/10 | 83.6 | |
| Oct | +1.02% | 6/10 | 84.1 | |
| Nov | +0.49% | 5/10 | 85.4 | |
| Dec | +0.11% | 5/10 | 80.4 |
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 | 120.6 | 260 | |
| 2017 | 73.3 | 259 | |
| 2018 | 79.5 | 259 | |
| 2019 | 63.9 | 259 | |
| 2020 | 89.1 | 260 | |
| 2021 | 70.9 | 260 | |
| 2022 | 116.3 | 260 | |
| 2023 | 96.4 | 259 | |
| 2024 | 100.1 | 260 | |
| 2025 | 95.7 | 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 | |
|---|---|---|
| 764.2 pips | Open the chart | |
| 676.4 pips | Open the chart | |
| 565.2 pips | Open the chart |
Frequently asked
What time of day does AUD/JPY move the most?
14:00 UTC, which averages 24.4 pips of range — about 2.1× the quietest hour at 20:00 UTC (11.7 pips). Measured across 2,595 trading days, 2016–2025.
What is the average daily range of AUD/JPY?
90.6 pips, with a median of 78 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 764.2 pips.
Is AUD/JPY more volatile in the Tokyo or the London session?
London. Tokyo averages 56.5 pips of range against London's 60.7 pips.
Which weekday does AUD/JPY move the most?
Thursday, averaging 95.2 pips. The quietest is Monday at 82.1 pips. Direction is a different question: no weekday closes higher often enough to separate it from a coin flip.
Does AUD/JPY show seasonality?
Across 2016–2025, June was the strongest calendar month at +1.59% on average, closing higher in 7 of 10 years. February was the weakest at -0.97%. 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 0.01. 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.