COT reports: Net long positions held by asset 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 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), net long positions held by asset managers in 2-year Treasury futures of the kind "UST 2Y NOTE - CHICAGO BOARD OF TRADE" were 1,795,866 contracts on 13 October 2026, versus 1,679,087 on 6 October.
Sample. There are 719 data points in the weekly time series displayed in the chart above. The series covers the time range extending from January 2013 to October 2026.
History. Have a look at a few simple statistics we computed on the entire sample: positions registered a minimum of -259,379 contracts on 11 November 2014; they reached their highest level of 2,602,967 contracts on 24 March 2026; they averaged 676,761 contracts.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-09-29 | 1,638,478 |
| 2026-10-06 | 1,679,087 |
| 2026-10-13 | 1,795,866 |
Tip. To simplify complex analyses, we group series into worksheets and datasets. By moving down the page, you will discover how we structured further material related to the statistics found here.
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Series Metadata
| Field | Value |
|---|---|
| Description | Net long positions held by asset 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.