COT reports: Short positions held by leveraged money managers in 2-year Treasury futures: UST 2Y NOTE - CHICAGO BOARD OF TRADE (number of contracts) - United States - CFTC - Weekly
This series is part of the dataset: 2-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), short positions held by leveraged money managers in 2-year Treasury futures of the kind "UST 2Y NOTE - CHICAGO BOARD OF TRADE" stood at 2,117,598 contracts on 16 June 2026, compared to 2,040,191 on 9 June 2026.
Sample. There are 702 data points in the weekly time series presented in the figure above. The series covers the period stretching from January 2013 to June 2026.
History. Here are some statistics we calculated on the full sample: positions had an average value of 1,044,797 contracts; they reached a trough of 108,306 on 24 September 2013; they hit a maximum of 3,047,509 on 12 November 2024.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-06-02 | 2175049.0 |
| 2026-06-09 | 2040191.0 |
| 2026-06-16 | 2117598.0 |
Hint. We group indicators into data sets and worksheets to simplify complex analyses. If you look below, you will discover how we arranged further material linked to the statistics published here.
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Series Metadata
| Field | Value |
|---|---|
| Description | Short positions held by leveraged money managers in futures on 2-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 2Y 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.