COT reports: Long positions held by leveraged money managers in 10-year Treasury futures: ULTRA UST 10Y - 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 "ULTRA UST 10Y - CHICAGO BOARD OF TRADE" were 96,941 contracts on 31 March 2026, compared to 108,082 on 24 March.
Sample. There are 524 observations in the weekly time series presented in the plot above. The series covers the time period stretching from March 2016 to March 2026.
History. Here’s a quick look at a few simple statistics we computed on the full sample: positions reached a trough of 34,487 contracts on 22 March 2016; they hit a maximum of 710,065 on 16 November 2021; they averaged 213,066.
Latest values
| Date | Value - Number of contracts |
|---|---|
| 2026-03-17 | 133156.0 |
| 2026-03-24 | 108082.0 |
| 2026-03-31 | 96941.0 |
Suggestion. To simplify exploration, we categorize indicators into worksheets and datasets. Scrolling downwards, you will discover how we arranged 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: ULTRA UST 10Y - 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.