SimpleFunctions

Democrats win the 2026 national House popular vote by at least 8 percentage points

Democrats, ≥8% is priced at 63¢ on Kalshi. Current book: 72¢ bid, 79¢ ask, 7¢ spread. This outcome ranks #4 of 8 inside Will Democrats win the 2026 national House popular vote by at least.

Price history

63¢ current

60¢65¢
Sep 22, 2026Sep 22, 2026

Contract brief

If the Democratic minus Republican margin in the national House popular vote is at least 8 percentage points in the November 3, 2026 U.S. House general election, then the market resolves to Yes.

Outcome

Democrats, ≥8%

Rank

#4 of 8

Leader

Democrats, ≥2% 90¢

Range

3¢-90¢

Family volume

$10K

Identifier

KXHOUSEPOPVOTEMARGIND-26NOV03-AL8

Sep 22, 2026, 9:08 PM UTC · 27m ago

Implied probability

63¢
Latest venue quote
Sep 22, 2026, 9:08 PM UTC · 27m ago

Bid

72¢

Ask

79¢

Spread

7¢

Reported volume

$2K

Family rank

#4 of 8

8 outcomes · Will Democrats win the 2026 national House popular vote by at least

Closes

Feb 3, 2027

Family volume

$10K

Orderbook snapshot

72 / 79¢

Kalshi
7¢ spread
BidSize
72¢5
71¢600
38¢43
36¢847
35¢13
AskSize
79¢10
80¢500
82¢49
83¢5.5K
87¢25K

Contract terms

What resolves this market.

YES condition

If the Democratic minus Republican margin in the national House popular vote is at least 8 percentage points in the November 3, 2026 U.S. House general election, then the market resolves to Yes.

Venue

Kalshi

Closes

Feb 3, 2027

Identifier

KXHOUSEPOPVOTEMARGIND-26NOV03-AL8

SF Signal
SF Index
242.59
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.45

Full indicator table

153.5%
485.2%
Adj IY
243%
2
-7.000
Overround
2.7%

Odds pages

Related prediction questions

Browse odds

Related readings

Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.

Browse library
Blogpolitics

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.

Blogmarkets

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.

Opinioncomparison

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.

Opinionanalysis

Market Making on Polymarket: Why Maker Status Cuts Loss Probability by 36 Points — and Why Spreads Persist Anyway

Akey et al.'s most economically significant finding: moving from pure taker to pure maker status reduces the probability of losing money by ~36 percentage points on Polymarket. Resolution-spec risk is why cross-platform spreads persist at 1.5–4.5% and why even Susquehanna and Jump can't fully arb them.

Blogmarkets

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.

Technicalguide

Kalshi vs Polymarket: A Developer's Comparison of APIs, Orderbooks, and Liquidity

Data-driven comparison of Kalshi and Polymarket APIs, orderbooks, rate limits, and liquidity. Code examples for building on both prediction markets.

SimpleFunctions context

Index, screen, query, and monitor.

Open index

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.