COT reports: Long positions held by asset managers in 5-year Treasury futures: UST 5Y NOTE - CHICAGO BOARD OF TRADE (number of contracts) - United States - CFTC - Weekly
This series is part of the dataset: 5-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), long positions held by asset managers in 5-year Treasury futures of the kind "UST 5Y NOTE - CHICAGO BOARD OF TRADE" stood at 4,362,317 contracts on 3 February 2026, compared to 4,239,815 on 27 January.
Sample. The weekly series shown in the chart has 683 observations overall. The series covers the span of time stretching from January 2013 to February 2026.
History. Here's a glimpse of some summary statistics we calculated on the whole sample: positions had a mean of 1,926,857 contracts; they registered a minimum of 319,179 contracts on 23 September 2014; they reached their maximum of 4,605,232 contracts on 1 July 2025.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-01-20 | 4,212,528 |
| 2026-01-27 | 4,239,815 |
| 2026-02-03 | 4,362,317 |
Tip. To simplify complex analyses, we group indicators into worksheets and datasets. By moving down the page, you will discover how we arranged further material related to the statistics published here.
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Series Metadata
| Field | Value |
|---|---|
| Description | Long positions held by asset managers in futures on 5-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 5Y 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.