COT reports: Short positions held by all reporting traders in NZD/USD FX futures: NZ DOLLAR - CHICAGO MERCANTILE EXCHANGE (number of contracts) - United States - CFTC - Weekly
This series is part of the dataset: NZD/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 all reporting traders in NZD/USD FX futures of the kind "NZ DOLLAR - CHICAGO MERCANTILE EXCHANGE" stood at 84,089 contracts on 18 August 2026, compared to 91,340 on 11 August.
Sample. There are 711 observations overall in the weekly time series presented in the plot above. The time span covered by the series is from January 2013 to August 2026.
History. Here’s a quick look at a few statistics we calculated on the full sample: positions recorded their highest level of 143,221 contracts on 9 June 2026; they reached a minimum of 7,506 on 25 June 2013; they had a mean value of 43,032.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-08-04 | 95762.0 |
| 2026-08-11 | 91340.0 |
| 2026-08-18 | 84089.0 |
Tip. We categorize series into worksheets and datasets to simplify complex analyses. If you navigate further 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 all reporting traders in futures on the NZD/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: NZ 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.