Will Democrats hold 218 or more seats in the House AND hold 49 or more seats in the Senate · KXBLUEWAVECOMBO-27FEB
Will Democrats hold 218 or more seats in the House AND hold 49 or more seats in the Senate? is priced at 70¢ on Kalshi. Current book: 70¢ bid, 71¢ ask, 1¢ spread. This page tracks a standalone prediction-market contract.
Price history
70¢ current
+1¢Contract brief
If ALL of the following occur: Democrats hold 218 or more seats in the House after the 2026 midterms AND Democrats hold 49 or more seats in the Senate after the 2026 midterms, then the market resolves to Yes.
Outcome
Will Democrats hold 218 or more seats in the House AND hold 49 or more seats in the Senate?
Rank
Standalone
Leader
—
Range
—
Family volume
$158
Identifier
KXBLUEWAVECOMBO-27FEB
Jun 24, 2026, 6:38 AM UTC · 13m ago
Implied probability
Bid
70¢
Ask
71¢
Spread
1¢
24h volume
$158
Family rank
Standalone
Standalone contract
Closes
Feb 1, 2027
Family volume
$158
Orderbook snapshot
70 / 71¢
Contract terms
What resolves this market.
YES condition
If ALL of the following occur: Democrats hold 218 or more seats in the House after the 2026 midterms AND Democrats hold 49 or more seats in the Senate after the 2026 midterms, then the market resolves to Yes.
Venue
Kalshi
Closes
Feb 1, 2027
Identifier
KXBLUEWAVECOMBO-27FEB
Event family
KXBLUEWAVECOMBO-27FEB.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$158
Outcomes
1
Highest price
Will Democrats hold 218 or more seats in the House AND hold 49 or more seats in the Senate? 70¢
Current share
100%
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.341
Observability
low
Event type
political
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
US Midterm Elections 2026 Prediction Markets: Trading the Battle for Congress
A deep‑dive guide for prediction market traders on the 2026 US midterm elections: House and Senate control odds, key races, Trump’s impact, economic and approval scenarios, polling accuracy, and data‑driven trading strategies.
Kalshi vs Polymarket: Which Prediction Market Should You Trade?
In-depth comparison of Kalshi and Polymarket for prediction market traders. Regulatory structure, liquidity, fees, API tooling, and cross-venue trading with SimpleFunctions.
Kalshi vs Polymarket: Mechanics, Fees, Regulation, Liquidity (2026)
Side-by-side comparison of Kalshi and Polymarket in 2026. Fee math, calibration data, withdrawal speed, and a decision tree for picking the right venue.
Liquidity Availability Is the Real Edge in Prediction Markets
Implied yield, cliff risk, and overround all describe what to trade. Liquidity Availability Score describes whether the orderbook can absorb the trade. Why LAS is the indicator that decides who actually books P&L.
Prediction market liquidity: why depth matters more than volume for serious traders
Why orderbook depth matters more than volume for prediction market traders. Real Kalshi examples, liquidity scoring framework, and how to avoid slippage.
Prediction Market Orderbook Analysis: Reading Depth, Spread, and Liquidity
How to read prediction market orderbooks. Binary settlement, spread-as-percentage, depth asymmetry, executable edge calculation, and cross-venue arbitrage analysis.
SimpleFunctions context
Index, screen, query, and monitor.
Prediction Market Index
Market-wide volatility, geo risk, breadth, and activity around this contract.
Market Screener
Filter adjacent contracts by volume, expiry, IY, CRI, venue, and theme.
Event Probability API
Read 70% as a structured event probability object for agents and apps.
Realtime Data API
Prices, orderbooks, movement, heat, and liquidity indicators across venues.
World State API
Compact market-aware context packets for agent sessions and scheduled refresh.
Hedging Workflows
Map a thesis or exposure to candidate event markets and monitoring paths.
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.