COT reports: Long positions held by all 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), long positions held by all reporting traders in AUD/USD FX futures of the kind "AUSTRALIAN DOLLAR - CHICAGO MERCANTILE EXCHANGE" were 276,188 contracts on 29 September 2026, compared to 271,135 on 22 September 2026.
Sample. There are 717 records in the weekly time series shown in the plot above. The period covered by the series extends from January 2013 to September 2026.
History. Here are a few simple statistics we computed on the full sample: positions hit a maximum of 418,389 contracts on 8 September 2026; they recorded a minimum of 47,941 on 28 June 2016; they had a mean value of 134,042.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-09-15 | 285258.0 |
| 2026-09-22 | 271135.0 |
| 2026-09-29 | 276188.0 |
Heads-up. We categorize time series into worksheets and datasets to simplify complex analyses. Scrolling downwards, you will find how we structured further information related to the statistics provided here.
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Series Metadata
| Field | Value |
|---|---|
| Description | Long positions held by all 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
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