COT reports: Compensated (spread) positions held by dealers 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), compensated (spread) positions held by dealers in 2-year Treasury futures of the kind "UST 2Y NOTE - CHICAGO BOARD OF TRADE" were 17,334 contracts on 3 February 2026, compared to 42,425 on 27 January 2026.
Sample. The weekly time series presented in the graph has 683 data points. The series covers the time period stretching from January 2013 to February 2026.
History. Here's a peek at a few summary statistics we computed on the full sample: positions had a mean of 17,700 contracts; they reached their highest level of 103,870 contracts on 21 May 2019; they hit a trough of 1,432 contracts on 8 July 2014.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-01-20 | 42,966.0 |
| 2026-01-27 | 42,425.0 |
| 2026-02-03 | 17,334.0 |
Hint. To simplify complex analyses, we organize indicators into data sets and worksheets. Scrolling downwards, you will find how we structured further information linked to the statistics provided here.
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Series Metadata
| Field | Value |
|---|---|
| Description | Compensated (spread) positions held by dealers 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.