A surge of unusually timed oil futures activity worth more than $800m has drawn the attention of the Commodity Futures Trading Commission (CFTC), raising questions over whether traders may have acted on non-public information ahead of a key geopolitical announcement, according to a report by the Wall Street Journal.

The CFTC is examining a burst of trading in crude oil markets on 23 March, when large volumes of US and international oil futures changed hands shortly before a social-media post by President Donald Trump that shifted expectations around potential military action involving Iran’s energy infrastructure.

Market data reviewed by investigators shows that oil prices fell sharply in the aftermath of the announcement, rewarding traders who had positioned ahead of the move. Several firms reportedly recorded multimillion-dollar gains during the episode, although none have been accused of wrongdoing and the activity may ultimately be attributed to algorithmic or headline-driven strategies.

Among the firms referenced in regulatory documents are systematic trading groups including Qube Research & Technologies, as well as other market participants active in crude derivatives, alongside energy trading desks such as those linked to major commodity houses.

The report cites unnamed people familiar with the matter as revealing that the regulator is focusing on whether trading patterns seen in the minutes leading up to the announcement reflect informed positioning, algorithmic reactions to early news flow, or coincidental timing within high-frequency strategies that dominate modern futures markets.

The episode is part of a broader inquiry into multiple instances of elevated trading activity around Iran-related geopolitical developments in recent months, as authorities attempt to determine whether any leaks of sensitive or non-public information may have influenced positioning in energy derivatives.

Some firms have pointed to a news headline published shortly before the social-media post as a possible trigger for automated trading systems, complicating efforts to distinguish between legitimate data-driven strategies and potential informational advantages.

Regulators have stressed that identifying intent in algorithm-driven markets is inherently difficult, particularly given the scale of automated execution and the overlapping strategies used by hedge funds, proprietary trading firms and market makers.

Firms mentioned in the inquiry have generally denied wrongdoing, stating that their trading systems rely on diversified data inputs and automated models rather than single-event or directional geopolitical bets.

The investigation remains ongoing, with officials continuing to assess whether the trading surge represents a case of informed positioning, coincidental algorithmic activity, or potential misuse of material non-public information in highly liquid energy futures markets.