Direct answer
Forex data does not always provide a single, universally defined “traded volume” value. Unlike many exchange markets, the main spot FX market is decentralized and over-the-counter, so many common data feeds focus on prices (and sometimes spreads) rather than a standardized, every-trade volume field.
How “volume” shows up (or not)
In practice, “volume” in forex data can mean different things:
- True traded volume (lots/units): A direct measure of how much was executed. This requires collection of execution quantities across counterparties, which is not always part of the published datasets.
- Activity proxies: Some feeds provide a measure of market activity rather than executed quantity. Examples include tick counts, quote counts, or aggregated measures intended to reflect how busy a market is.
- Estimated or vendor-defined volume: Providers may compute a value using internal rules or partial information. Even if a number is present, it may not match the “lots traded” concept.
A related detail is that forex “volume” can be reported at different aggregation levels (for example, per minute, per hour, or per session). Two datasets may therefore show different volume magnitudes even if they both claim to measure “volume.”
Example checks you can do
Because definitions vary, the most reliable way to confirm whether a dataset provides volume is to inspect the data schema and documentation. Look for fields such as “volume,” “trade size,” “turnover,” or “tick/quote count,” and then verify what each field represents:
- If there is no execution-size field, the dataset likely cannot provide true traded-lot volume.
- If the field is called volume but described as tick/quote-based, it is a proxy.
- If documentation states the value is estimated, treat it as a derived indicator of activity, not a guaranteed measure of executed quantity.
Limitations and what to be careful about
Even when a forex dataset includes a “volume” column, you should assume it may not be a standardized measure across vendors or instruments. The presence of a number does not guarantee it represents executed lots. For independent verification, rely on the dataset’s field definitions (data dictionary) and notes on how the value is calculated.
Finally, avoid using any single volume-like metric as a direct substitute for exchange-traded volume unless the documentation explicitly defines it that way.