COT reports: Long positions held by leveraged money managers in 10-year Treasury futures: MICRO 10 YEAR YIELD - CHICAGO BOARD OF TRADE (number of contracts) - United States - CFTC - Weekly
This series is part of the dataset: 10-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), long positions held by leveraged money managers in 10-year Treasury futures of the kind "MICRO 10 YEAR YIELD - CHICAGO BOARD OF TRADE" stood at 1,752 contracts on 3 February 2026, compared to 1,711 on 27 January 2026.
Sample. There are 150 observations in the weekly series presented in the chart above. The time span covered by the series is from April 2022 to February 2026.
History. Here's a peek at a few descriptive statistics we computed on the full sample: positions attained a maximum of 4,616 contracts on 14 January 2025; they hit a minimum of 0 on 27 December 2022; they had a mean value of 1,896.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-01-20 | 2138.0 |
| 2026-01-27 | 1711.0 |
| 2026-02-03 | 1752.0 |
Suggestion. To simplify exploration, we categorize indicators into worksheets and datasets. Scrolling downwards, you will find how we structured further information related to the statistics found here.
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Series Metadata
| Field | Value |
|---|---|
| Description | Long positions held by leveraged money managers 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: MICRO 10 YEAR YIELD - 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.