Democrat sweep in the 2026 Michigan Supreme Court election
Democrat sweep is priced at 89¢ midpoint on Kalshi. Current book: 88¢ bid, 89¢ ask, 1¢ spread. This outcome ranks #1 of 3 inside Who will win the 2026 Michigan Supreme Court election.
Price history
89¢ current
+8¢Contract brief
If 2 Democrats win the 2026 Michigan Supreme Court election, then the market resolves to Yes.
Outcome
Democrat sweep
Rank
#1 of 3
Leader
Democrat sweep 88¢
Range
5¢-88¢
Family volume
$0
Identifier
KXMISC-26-2D
Aug 9, 2026, 9:08 AM UTC · 10m ago
Implied probability
Bid
88¢
Ask
89¢
Spread
1¢
Reported volume
$0
Family rank
#1 of 3
3 outcomes · Who will win the 2026 Michigan Supreme Court election
Closes
Nov 3, 2027
Family volume
$0
Orderbook snapshot
88 / 89¢
Contract terms
What resolves this market.
YES condition
If 2 Democrats win the 2026 Michigan Supreme Court election, then the market resolves to Yes.
Venue
Kalshi
Closes
Nov 3, 2027
Identifier
KXMISC-26-2D
Event family
Who will win the 2026 Michigan Supreme Court election.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$0
Outcomes
3
Highest price
Democrat sweep 88¢
Current share
—
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
Full indicator table
Odds pages
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How we compute these odds
SimpleFunctions aggregates live prediction-market contracts from Kalshi and Polymarket. Each slug groups contracts that resolve on the same underlying event, identified by venue event_id.
For binary slugs, the headline probability is the liquidity-weighted mid-price across all bound contracts. For multi-outcome slugs (e.g. elections with 3+ candidates), the headline is the leader’s price; we never arithmetically average disjoint outcomes — that would produce a number with no real-world meaning.
Snapshots refresh every 5 minutes during market hours; daily aggregates are computed at 04:00 UTC. The 30-day sparkline is drawn from per-ticker daily means stored in market_indicator_daily; 24h delta and movement events are derived from the same source.