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 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), net long positions held by asset managers in 2-year Treasury futures of the kind "UST 2Y NOTE - CHICAGO BOARD OF TRADE" stood at 2,140,676 contracts on 19 May 2026, versus 2,116,349 on 12 May 2026.
Sample. There are 698 observations overall in the weekly time series presented in the plot above. The time range covered by the series stretches from January 2013 to May 2026.
History. Here are a few descriptive statistics we computed on the entire sample: positions reached their lowest level of -259,379 contracts on 11 November 2014; they reached their maximum of 2,602,967 on 24 March 2026; they had a mean value of 643,400.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-05-05 | 2223328.0 |
| 2026-05-12 | 2116349.0 |
| 2026-05-19 | 2140676.0 |
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.