COT reports: Short positions held by leveraged money managers in EUR/USD FX futures: EURO FX - CHICAGO MERCANTILE EXCHANGE (number of contracts) - United States - CFTC - Weekly
This series is part of the dataset: EUR/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 EUR/USD FX futures of the kind "EURO FX - CHICAGO MERCANTILE EXCHANGE" were 102,344 contracts on 31 March 2026, compared to 111,523 on 24 March 2026.
Sample. There are 691 records in the weekly time series shown in the chart above. The series covers the time period going from January 2013 to March 2026.
History. Check out some statistics computed on the entire sample: positions hit a maximum of 205,053 contracts on 25 October 2016; they reached their minimum of 32,919 on 8 October 2013; they had an average value of 94,691.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-03-17 | 113870.0 |
| 2026-03-24 | 111523.0 |
| 2026-03-31 | 102344.0 |
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Not for investment purposes. Financial data hosted on FetchSeries are not intended for investment purposes or as a basis for financial-decision making. Users should obtain expert advice and perform independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Short positions held by leveraged money managers in futures on the EUR/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: EURO FX - CHICAGO MERCANTILE EXCHANGE |
| FSR temporal aggregation code | LW1 |
Series in the same data set
Discover the other time series included in this data set.