COT reports: Compensated (spread) positions held by other reporting traders 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 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), compensated (spread) positions held by other reporting traders in 5-year Treasury futures of the kind "UST 5Y NOTE - CHICAGO BOARD OF TRADE" were 23,623 contracts on 3 February 2026, versus 28,130 on 27 January.
Sample. In the weekly series presented in the figure, there are 683 data points. The series covers the span of time going from January 2013 to February 2026.
History. Here's a snapshot of some simple statistics we calculated on the full sample: positions averaged 9,585 contracts; they recorded a minimum of 0 on 10 December 2019; they hit a maximum of 112,811 on 19 November 2024.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-01-20 | 24831.0 |
| 2026-01-27 | 28130.0 |
| 2026-02-03 | 23623.0 |
Suggestion. We group series into worksheets and datasets to simplify research. By moving down the page, you will find how we structured further information linked to the statistics found here.
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Series Metadata
| Field | Value |
|---|---|
| Description | Compensated (spread) positions held by other reporting traders 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.