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 221,012 contracts on 19 May 2026, compared to 209,035 on 12 May 2026.
Sample. There are 531 data points overall in the weekly time series shown in the plot above. The series covers the time span extending from March 2016 to May 2026.
History. Here are a few descriptive statistics we computed on the whole sample: positions had an average value of 139,862 contracts; they reached their minimum of 39,943 on 8 March 2016; they reached a maximum of 294,619 on 26 November 2024.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-05-05 | 200190.0 |
| 2026-05-12 | 209035.0 |
| 2026-05-19 | 221012.0 |
Tip. 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.