COT reports: Long positions held by non-reporting traders in 10-year Treasury futures: ULTRA UST 10Y - CHICAGO BOARD OF TRADE (number of contracts) - United States - CFTC - Weekly
This series is part of the dataset: 10-year Tresasury notes 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), long positions held by non-reporting traders in 10-year Treasury futures of the kind "ULTRA UST 10Y - CHICAGO BOARD OF TRADE" stood at 218,611 contracts on 18 August 2026, compared to 204,418 on 11 August 2026.
Sample. There are 544 records overall in the weekly series shown in the graph above. The period covered by the series extends from March 2016 to August 2026.
History. Here's a snapshot of a few descriptive statistics we calculated on the whole sample: positions hit a minimum of 39,943 contracts on 8 March 2016; they peaked at 294,619 on 26 November 2024; they had an average value of 141,663.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-08-04 | 214640.0 |
| 2026-08-11 | 204418.0 |
| 2026-08-18 | 218611.0 |
Suggestion. To simplify exploration, we group time series into data sets and worksheets. By moving down the page, you will discover how we arranged further information related to the statistics provided here.
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Series Metadata
| Field | Value |
|---|---|
| Description | Long positions held by non-reporting traders in futures on 10-year Treasury notes |
| 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: ULTRA UST 10Y - CHICAGO BOARD OF TRADE |
| FSR temporal aggregation code | LW1 |
Series in the same data set
Discover the other time series included in this data set.