COT reports: Net long 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), net long positions held by other reporting traders in EUR/USD FX futures of the kind "EURO FX - CHICAGO MERCANTILE EXCHANGE" were 8,106 contracts on 19 May 2026, compared to 6,081 on 12 May.
Sample. This weekly time series has 698 observations. The series covers the time range stretching from January 2013 to May 2026.
History. Here's a snapshot of some descriptive statistics calculated on the full sample: positions recorded their highest level of 94,011 contracts on 9 June 2015; they hit a minimum of -54,466 on 19 September 2017; they were equal on average to 14,841.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-05-05 | 4539.0 |
| 2026-05-12 | 6081.0 |
| 2026-05-19 | 8106.0 |
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Not for investment purposes. Financial data published on FetchSeries are not meant for investment purposes or as a basis for financial-decision making. Users should seek professional advice and do independent analysis before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Net long 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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