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Kalshi links local ballot guides with election market prices

Kalshi reports it launched My Ballot in its Midterms Hub using Ballotpedia's nonpartisan Sample Ballot Lookup data, matching each user's address to the Senate, House, governor, state legislative and ballot measure races on their ballot and pairing them with Kalshi market prices where an active market exists. Kalshi says more than 80 percent of Midterms Hub visitors do not trade and instead use the hub as part of their media diet, alongside Race Intel polling averages and FEC fundraising data from VoteHub.

Kalshi has introduced My Ballot in its Midterms Hub, connecting address-based election information with prediction-market prices, according to Kalshi. The feature uses Ballotpedia’s nonpartisan Sample Ballot Lookup data.

A personalized view of election contests

My Ballot matches a user’s address to the Senate, House, governor, state legislative and ballot measure contests appearing on their ballot. It displays Kalshi market prices alongside those contests when an active market is available, Kalshi says.

The feature brings ballot information and market pricing into the same view, although that pairing depends on market availability. A contest’s inclusion in the ballot guide does not necessarily mean it has an active Kalshi market.

Information use extends beyond trading

More than 80 percent of Midterms Hub visitors do not trade, according to Kalshi. The company says those visitors use the hub as one of their sources of news and information.

My Ballot joins other information available through the hub, including Race Intel polling averages and FEC fundraising data from VoteHub. Kalshi’s account positions the ballot guide as an addition for an audience whose use of the platform extends beyond placing trades.

What it means for prediction markets

  • Ballot coverage and market coverage differ: Users can identify contests on their ballot, but accompanying prices are available only where Kalshi has an active market.
  • Hub traffic is not equivalent to trading activity: Kalshi’s statement that more than 80 percent of visitors do not trade distinguishes its information audience from its trading audience.
  • Prices appear alongside other election data: The hub combines market information with ballot details, polling averages and fundraising data, giving readers several distinct types of election information to assess.
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