Direct answer
There is no single forex pair that always has the highest daily range. A pair with the largest daily high–low movement changes over time, and the result depends on (1) the specific dates you measure and (2) the exact definition and data you use for “daily range.”
If you want an independent, verifiable answer, you must rank pairs using the same rule: for each pair, compute its daily range (high minus low) for a chosen period, then compare those ranges across pairs. Within Bollinger Range concepts, the comparison can be made more consistent by relating range to its recent history.
Explanation: definitions and how the comparison works
Daily range is commonly defined as: DailyRange = DailyHigh − DailyLow. The “daily high” and “daily low” come from the price series for that pair on each trading day.
When the question asks “which pair has the highest daily range,” it implicitly requires a selection rule:
- Highest on a specific day (rank pairs by that day’s DailyHigh − DailyLow).
- Highest over a period (for example, the maximum daily range observed during the period, or an average of daily ranges).
Bollinger Range concepts are useful because they connect the observed range to how range behaves relative to its own recent levels. Conceptually, Bollinger methods use a moving statistic (like an average) and an envelope based on dispersion. In range-trading discussions, the goal is often to identify whether current range is unusually wide compared with what typically happened recently for the same pair.
So, within this “Bollinger Range” framing, the practical idea is:
- Compute daily range per pair.
- Normalize or contextualize that range against the pair’s recent range behavior (so comparisons are not purely raw).
- Then decide what “highest” means (largest raw range on the day, or largest contextualized reading over the period).
If you do not apply the same period, the same daily range definition, and the same comparison rule, you cannot get a reproducible “highest pair.”
Example checks and what to record
To make the comparison checkable, you can use the same spreadsheet workflow for every currency pair you include:
- Choose a list of pairs.
- Choose a fixed measurement window (for example, N days).
- For each pair and each day, record DailyHigh and DailyLow.
- Compute DailyRange = DailyHigh − DailyLow.
- Decide your ranking rule:
- Option A: highest DailyRange on a single chosen day.
- Option B: highest DailyRange observed in the window.
- Option C: highest average DailyRange across the window.
A common pitfall is comparing ranges without ensuring consistency in units. Some quotes can behave differently due to how currency conversion works in the pricing convention. If you rank pairs using raw differences in quote currency terms, the “highest” label may partly reflect quote conventions rather than underlying movement alone.
Bollinger Range-style contextualization can reduce this pitfall by focusing on whether a pair’s range is large relative to its own recent range, but it still does not remove the need for a defined time window and a defined measurement rule.
Limitations and uncertainty
- No permanent “winner”: The pair with the highest daily range changes over time because market volatility is time-varying.
- Dependence on the period: Different date ranges can produce different “highest” results.
- Data-source variability: Different platforms may use different pricing conventions or timestamps for daily high/low, which can affect computed ranges.
- Definition ambiguity: “Highest daily range” must be tied to a specific statistic (single-day max vs period max vs average).
- Bollinger Range is contextual, not absolute: Bollinger-style measures compare a pair to its own recent behavior; they do not guarantee that any specific pair will be highest under every market regime.