COT reports: Net long positions held by other reporting traders in crude oil futures: WTI-PHYSICAL - 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), net long positions held by other reporting traders in crude oil futures of the kind "WTI-PHYSICAL - NEW YORK MERCANTILE EXCHANGE" were 77,558 contracts on 17 February 2026, compared to 38,668 on 10 February.
Sample. There are 1,028 observations overall in the weekly series shown in the chart above. The time span covered by the series stretches from June 2006 to February 2026.
History. Have a look at a few summary statistics we calculated on the full sample: positions had a mean of 83,032 contracts; they recorded their highest level of 339,702 on 21 April 2020; they registered a minimum of -77,986 on 3 August 2010.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-02-03 | 47805.0 |
| 2026-02-10 | 38668.0 |
| 2026-02-17 | 77558.0 |
Nugget of wisdom. To simplify exploration, we organize indicators into data sets and worksheets. If you navigate further down, you will discover how we structured further material related to the statistics published here.
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Series Metadata
| Field | Value |
|---|---|
| Description | Net long positions held by other reporting traders 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: WTI-PHYSICAL - 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.