US derivatives regulator the Commodity Futures Trading Commission (CFTC) is re-examining how it publishes a key dataset in a move that could reshape how hedge funds and other market participants interpret positioning signals across futures markets, according to a report by Bloomberg.

The CFTC has launched a review of its weekly Commitments of Traders (COT) reports, which aggregate positioning data from major market participants and are closely followed by hedge funds for directional and sentiment analysis.

According to CFTC Chair Michael Selig, the agency is seeking feedback on whether the structure, frequency, and disclosure level of the reports remain appropriate in a market environment that is evolving rapidly. One area under consideration is whether more frequent publication could improve transparency, or whether it might risk revealing sensitive trading positions of large firms.

The review comes at a time when new trading venues are expanding into traditionally regulated commodity markets. Among them is Kalshi Inc, a prediction markets platform that has recently launched a commodities-focused trading segment.

Unlike established exchanges such as CME Group and Intercontinental Exchange, these newer platforms are not currently required to contribute data that feeds into COT reporting, creating potential gaps in the positioning information available to institutional investors.

The CFTC is also examining whether instruments such as binary options—commonly used in prediction market structures—should be incorporated into the reporting framework to ensure consistency across market venues.

Recent developments have already prompted adjustments from Kalshi, which agreed to align trading hours on certain agricultural contracts with those of traditional exchanges following concerns raised by participants in the US agricultural sector.

For hedge funds, the COT report has long served as a key tool for gauging crowded trades and identifying shifts in positioning across commodities markets. Any changes to its structure or coverage could therefore have meaningful implications for trading strategies that rely on transparency in futures positioning data.