COT reports: Net long positions held by other reporting traders 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 other reporting traders in 2-year Treasury futures of the kind "UST 2Y NOTE - CHICAGO BOARD OF TRADE" were 192,526 contracts on 3 February 2026, compared to 196,014 on 27 January.
Sample. In the weekly time series plotted above, there are 683 data points in total. The series covers the span of time stretching from January 2013 to February 2026.
History. Here's a snapshot of a few simple statistics we calculated on the entire sample: positions hit a maximum of 440,760 contracts on 4 June 2024; they registered a minimum of -376,333 contracts on 17 May 2022; they had a mean of 44,660 contracts.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-01-20 | 206,848 |
| 2026-01-27 | 196,014 |
| 2026-02-03 | 192,526 |
Heads-up. We organize series into worksheets and datasets to simplify complex analyses. By moving down the page, you will find how we structured further information related to the statistics provided here.
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Series Metadata
| Field | Value |
|---|---|
| Description | Net long positions held by other reporting traders 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.