COT reports: Short positions held by other reporting traders in AUD/USD FX futures: AUSTRALIAN DOLLAR - CHICAGO MERCANTILE EXCHANGE (number of contracts) - United States - CFTC - Weekly
This series is part of the dataset: AUD/USD exchange rate COT reports (CFTC)
Download Full Dataset (.xlsx)Latest updates. According to the Commitments of Traders (COT) reports published by the Commodity Futures Trading Commission (CFTC), short positions held by other reporting traders in AUD/USD FX futures of the kind "AUSTRALIAN DOLLAR - CHICAGO MERCANTILE EXCHANGE" were 500 contracts on 14 July 2026, the same value recorded on 7 July 2026.
Sample. There are 706 observations overall in the weekly time series displayed in the figure above. The time span covered by the series goes from January 2013 to July 2026.
History. Here's a snapshot of some statistics we calculated on the whole sample: positions were equal on average to 5,951 contracts; they hit a maximum of 35,666 on 8 September 2015; they reached their minimum of 0 on 26 December 2017.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-06-30 | 500.0 |
| 2026-07-07 | 500.0 |
| 2026-07-14 | 500.0 |
Tip. We group time series into worksheets and datasets to facilitate exploration. By scrolling down, you will discover how we arranged further information linked to the statistics provided here.
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Series Metadata
| Field | Value |
|---|---|
| Description | Short positions held by other reporting traders in futures on the AUD/USD exchange rate |
| Country | United States |
| Economic concept | Stock |
| Data type | Quantity |
| Seasonally adjusted | No |
| Deflation method | Not applicable |
| Rescaling | None |
| Measure type | Level |
| Frequency | Weekly |
| Unit | Number of contracts |
| Source | Commodity Futures Trading Commission (CFTC) |
| Source type | Government agency |
| Data licence | Public domain information |
| Other information | Specific future: AUSTRALIAN DOLLAR - CHICAGO MERCANTILE EXCHANGE |
| FSR temporal aggregation code | LW1 |
Series in the same data set
Discover the other time series included in this data set.