Markets · Series
2026 Election Voter Turnout Markets — 2,473 contracts, SF signal on every row.
2,473 live Kalshi contracts (2,456 audited). Median implied probability sits at 48%. 1 contracts moved 5cents+ in the last 24h (biggest: KXMIDTERMVOTETURN-PA12-390000 -7c). Refreshed every 5 minutes.
Analytics view (term structure, fitted hazard rate, per-bucket deviations): /yield-curves/KXMIDTERMVOTETURN.
/api/public/markets/series/KXMIDTERMVOTETURN/api/public/yield-curves/KXMIDTERMVOTETURN›example response
{
"scope": {
"type": "series",
"slug": "KXMIDTERMVOTETURN",
"label": "2026 Election Voter Turnout Markets"
},
"live": {
"contractCount": 2473,
"volume24hSum": 128.63,
"hasThesisCount": 0
},
"termFit": null
}Live contracts
2,473
Median IY
48¢
implied prob (YES)
24h volume
$129
Days to catalyst
none
no scheduled catalyst
SF thesis coverage
0
Top mover
-7¢
KXMIDTERMVOTETURN-PA12-390000
2026 Election Voter Turnout Markets — liquidity topography (top 4 of 2,473 markets)
X = time-to-resolution (log). Y = 24h volume (log). Color = annualized %. Range: 79.7 → 313.8%
Hover for ticker detail; click to open the per-market page. full screener →
Top markets in 2026 Election Voter Turnout Markets
Showing top 20 of 2,473Sortable on every numeric column. Every row carries the SF indicator stack — bounded for readability, raw value on hover.
Biggest movers, 24h, in 2026 Election Voter Turnout Markets
Frommarket_changesHow 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.
Last updated on this page: 25 Jun 2026 16:38:42 GMT.
Term-structure analytics
Probability vs tenor curve and per-bucket deviation analysis. /yield-curves/KXMIDTERMVOTETURN →
Category view
All Kalshi Elections markets. /markets/category/elections →
Venue view
Everything on Kalshi. /markets/venue/kalshi →
JSON API
Same data, machine-readable. twin endpoint →