COT reports: Compensated (spread) positions held by other reporting traders 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), compensated (spread) positions held by other reporting traders in EUR/USD FX futures of the kind "EURO FX - CHICAGO MERCANTILE EXCHANGE" were 3,359 contracts on 16 June 2026, compared to 3,878 on 9 June.
Sample. This weekly time series has 702 records overall. The time span covered by the series extends from January 2013 to June 2026.
History. Here are a few simple statistics calculated on the entire sample: positions had an average value of 2,992 contracts; they recorded their maximum of 9,872 on 10 March 2015; they reached their minimum of 45 on 7 January 2020.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-06-02 | 3115.0 |
| 2026-06-09 | 3878.0 |
| 2026-06-16 | 3359.0 |
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Not for investment purposes. Data published on FetchSeries are not suitable for investment purposes or other financial decisions. Users should obtain expert advice and perform independent analysis before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Compensated (spread) positions held by other reporting traders 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
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