COT reports: Long positions held by dealers in 10-year Treasury futures: UST 10Y NOTE - CHICAGO BOARD OF TRADE (number of contracts) - United States - CFTC - Weekly
This series is part of the dataset: 10-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 dealers in 10-year Treasury futures of the kind "UST 10Y NOTE - CHICAGO BOARD OF TRADE" stood at 328,847 contracts on 3 February 2026, compared to 366,696 on 27 January.
Sample. In the weekly time series shown in the graph, there are 683 data points in total. The series covers the period going from January 2013 to February 2026.
History. Here's a glimpse of a few descriptive statistics computed on the entire sample: positions attained a maximum of 502,777 contracts on 14 October 2025; they hit a trough of 43,225 contracts on 7 June 2022; they averaged 160,998 contracts.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-01-20 | 378,883 |
| 2026-01-27 | 366,696 |
| 2026-02-03 | 328,847 |
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Not for investment purposes. Any financial data found on FetchSeries are not meant for investment purposes or as a basis for financial-decision making. Users should obtain expert advice and perform independent analysis before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Long positions held by dealers in futures on 10-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 10Y 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.