COT reports: Short positions held by producers and merchants in crude oil futures: BRENT LAST DAY - NEW YORK MERCANTILE EXCHANGE (number of contracts) - United States - CFTC - Weekly
This series is part of the dataset: Crude oil futures 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 producers and merchants in crude oil futures of the kind "BRENT LAST DAY - NEW YORK MERCANTILE EXCHANGE" stood at 53,279 contracts on 29 September 2026, versus 52,199 on 22 September 2026.
Sample. The weekly time series displayed in the graph has a total of 770 observations. The series covers the time range stretching from October 2011 to September 2026.
History. Here’s a quick look at some simple statistics we calculated on the entire sample: positions reached a trough of 0 contracts on 12 August 2014; they recorded their maximum of 84,623 on 3 March 2020; they averaged 30,889.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-09-15 | 54372.0 |
| 2026-09-22 | 52199.0 |
| 2026-09-29 | 53279.0 |
Suggestion. We organize indicators into data sets and worksheets to simplify complex analyses. By scrolling down, you will find how we structured further information related to the statistics published here.
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Series Metadata
| Field | Value |
|---|---|
| Description | Short positions held by producers and merchants in crude oil futures |
| 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: "BRENT LAST DAY - NEW YORK MERCANTILE EXCHANGE |
| FSR temporal aggregation code | LW1 |
Series in the same data set
Discover the other time series included in this data set.