Direct answer
Forex volume can be tracked with DTCC data only if the DTCC dataset you use contains (1) FX trade records and (2) a volume field that is defined in a way that matches how you define “forex volume.” If either piece is missing—or if the dataset’s coverage differs from the market scope you care about—then DTCC data can’t reliably substitute for market-wide forex volume.
How the idea works (mechanics)
“Forex volume” usually means the amount of FX trading over a period, commonly expressed in notional terms (for example, the size of trades) or sometimes in number of transactions. To use DTCC data for this, you need a bridge between terms:
- Trade coverage: the data must include the FX trades relevant to your volume definition.
- Instrument scope: the records must correspond to the FX instruments you count (for example, spot vs. derivatives).
- A usable volume measure: the dataset needs a consistent field that represents “how much” was traded.
- Matching time and normalization: your time window and units must align with the dataset’s timestamps and measurement conventions.
If the DTCC dataset provides clearing or settlement-related information but not a direct, consistently defined “FX trade volume,” then you would be measuring something else (for example, activity related to post-trade processing), not forex market volume.
Example checks to perform
You can independently verify whether DTCC data is suitable by checking:
- Whether the dataset includes records that clearly identify FX trades rather than only post-trade events.
- Whether there is a notional/quantity field you can aggregate by date and instrument.
- Whether the dataset’s scope matches what you want to measure (for example, the venues/counterparties included).
- Whether any transformations are needed so your aggregation represents the same “volume” definition you started with.
If any check fails—especially coverage or the presence of a matching volume field—then DTCC data cannot be used to track forex volume in the usual market sense.
Limitations and uncertainty
Even in cases where DTCC-linked data includes quantity information, results can be misleading because “total forex market volume” depends on what is included in the underlying reporting universe. Post-trade data may reflect only certain portions of the lifecycle of FX transactions, and it may omit venues, instruments, or counterparties that other sources include. Therefore, DTCC data can be useful for analyzing the portion of activity that it covers, but it may not represent comprehensive market-wide forex volume unless the dataset documentation explicitly supports that equivalence.