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Midterm "knowable markets" face insider-trading scrutiny

A new Anti-Corruption Data Collective analysis, first reported by CNN, flags Kalshi and Polymarket contracts on candidate withdrawals, endorsements, debates and rally…

Midterm election contracts on Kalshi and Polymarket are drawing scrutiny over potential insider trading, according to bonus.com, which cites a new Anti-Corruption Data Collective analysis first reported by CNN.

Scrutiny of potentially knowable outcomes

The analysis flags contracts tied to candidate withdrawals, endorsements and debates. The supplied summary also begins to reference a rally-related category, but cuts off before identifying its scope.

The concern centers on “knowable markets”: whether some participants could have advance knowledge of the events being traded. That framing raises a different question from how accurately a market forecasts an uncertain election outcome.

Limited details available

The available material identifies both Kalshi and Polymarket but provides no specific contracts, transactions, traders or findings of misconduct. Scrutiny alone does not establish that insider trading occurred on either platform.

The bonus.com item was published on Oct 12, 2026, at 4:54 AM ET. Its full text was unavailable, limiting what can be established about the analysis’s methods, conclusions or any responses from the platforms.

What it means for prediction markets

  • Contract design is central: The categories flagged concern discrete political events, rather than only election results.
  • Information access is the key concern: The scrutiny focuses on whether an outcome could be known to some participants before it becomes public.
  • The evidence remains incomplete: The supplied material does not establish improper trading or identify any regulatory action.
PredictionMarketsKalshiPolymarketSenate

Sources & attribution

  1. [1]Bonus (bonus.com)https://www.bonus.com/news/midterm-prediction-markets-draw-insider-trading-scrutiny-as-kalshi-polymarket-expand-elect/

Date & time:

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