COT reports: Net 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), net long positions held by non-reporting traders in 10-year Treasury futures of the kind "ULTRA UST 10Y - CHICAGO BOARD OF TRADE" were -106,824 contracts on 18 August 2026, compared to -88,886 on 11 August.
Sample. This weekly time series has 544 records overall. The time range covered by the series stretches from March 2016 to August 2026.
History. Here's a glimpse of some descriptive statistics we calculated on the entire sample: positions had an average value of -72,777 contracts; they recorded a minimum of -191,994 on 23 November 2021; they reached their highest level of -3,351 on 7 June 2016.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-08-04 | -65128.0 |
| 2026-08-11 | -88886.0 |
| 2026-08-18 | -106824.0 |
Tip. We categorize time series into data sets and worksheets to simplify complex analyses. By scrolling down, you will find how we structured further information linked to the statistics found here.
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Series Metadata
| Field | Value |
|---|---|
| Description | Net 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.