COT reports: Short positions held by leveraged money managers in 10-year Treasury futures: UST 10Y NOTE - CHICAGO BOARD OF TRADE (number of contracts) - United States - CFTC - Weekly
This series is part of the dataset: 10-year Treasury 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), short positions held by leveraged money managers in 10-year Treasury futures of the kind "UST 10Y NOTE - CHICAGO BOARD OF TRADE" were 2,456,455 contracts on 3 February 2026, compared to 2,507,898 on 27 January.
Sample. In this weekly series, there are 683 records overall. The series covers the time span extending from January 2013 to February 2026.
History. Have a look at a few statistics we computed on the whole sample: positions recorded their maximum of 3,033,973 contracts on 25 November 2025; they recorded a bottom of 152,889 contracts on 8 January 2013; they had an average value of 1,002,660 contracts.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-01-20 | 2,647,983 |
| 2026-01-27 | 2,507,898 |
| 2026-02-03 | 2,456,455 |
Suggestion. We group indicators into data sets and worksheets to simplify research. By moving down the page, you will discover how we structured further material related to the statistics provided here.
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Series Metadata
| Field | Value |
|---|---|
| Description | Short positions held by leveraged money managers 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: "UST 10Y NOTE - 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.