COT reports: Short positions held by leveraged money managers in CAD/USD FX futures: CANADIAN DOLLAR - CHICAGO MERCANTILE EXCHANGE (number of contracts) - United States - CFTC - Weekly
This series is part of the dataset: CAD/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 leveraged money managers in CAD/USD FX futures of the kind "CANADIAN DOLLAR - CHICAGO MERCANTILE EXCHANGE" were 115,069 contracts on 18 August 2026, compared to 118,516 on 11 August 2026.
Sample. There are 711 data points in the weekly time series presented in the plot above. The time span covered by the series extends from January 2013 to August 2026.
History. Have a look at a few simple statistics we calculated on the full sample: positions had a mean value of 49,159 contracts; they reached a minimum of 3,578 on 15 January 2013; they recorded their maximum of 129,992 on 21 July 2026.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-08-04 | 126534.0 |
| 2026-08-11 | 118516.0 |
| 2026-08-18 | 115069.0 |
Tip. We group time series into data sets and worksheets to facilitate exploration. Scrolling downwards, you will discover how we structured further material linked to the statistics provided here.
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Series Metadata
| Field | Value |
|---|---|
| Description | Short positions held by leveraged money managers in futures on the CAD/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: CANADIAN 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.