COT reports: Compensated (spread) positions held by leveraged money managers 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), compensated (spread) positions held by leveraged money managers in NZD/USD FX futures of the kind "NZ DOLLAR - CHICAGO MERCANTILE EXCHANGE" were 679 contracts on 14 July 2026, compared to 421 on 7 July 2026.
Sample. There are 706 records overall in the weekly time series presented in the chart above. The time span covered by the series goes from January 2013 to July 2026.
History. Take a look at a few simple statistics computed on the whole sample: positions hit a peak of 13,337 contracts on 9 December 2025; they reached a trough of 3 on 5 November 2013; they were equal on average to 1,046.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-06-30 | 375.0 |
| 2026-07-07 | 421.0 |
| 2026-07-14 | 679.0 |
Suggestion. We group time series into worksheets and datasets to simplify exploration. When you look below, you will find how we arranged further information related to the statistics provided here.
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Series Metadata
| Field | Value |
|---|---|
| Description | Compensated (spread) positions held by leveraged money managers 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.