SimpleFunctions

Democratic party · KXEXITPOLL-WCOLMEN

Democratic party is priced at 95¢ on Kalshi. Current book: 80¢ bid, 87¢ ask, 7¢ spread. This outcome ranks #1 of 2 inside KXEXITPOLL-WCOLMEN.

Price history

95¢ current

+45¢
50¢75¢100¢
Sep 17, 2026Sep 18, 2026

Contract brief

If the Democratic Party wins white college-educated men in the 2026 United States midterm elections, then the market resolves to Yes.

Outcome

Democratic party

Rank

#1 of 2

Leader

Democratic party 67¢

Range

14¢-67¢

Family volume

$0

Identifier

KXEXITPOLL-WCOLMEN-DEM

Sep 23, 2026, 7:38 AM UTC · 14m ago

Implied probability

95¢
Latest venue quote
Sep 23, 2026, 7:38 AM UTC · 14m ago

Bid

80¢

Ask

87¢

Spread

24h volume

$201

Family rank

#1 of 2

2 outcomes · KXEXITPOLL-WCOLMEN

Closes

Nov 6, 2026

Family volume

$0

Orderbook snapshot

80 / 87¢

Kalshi
7¢ spread
BidSize
100¢100
80¢200
7¢1
6¢255
5¢2.3K
AskSize
87¢5
88¢15
89¢350
95¢8
97¢59

Contract terms

What resolves this market.

YES condition

If the Democratic Party wins white college-educated men in the 2026 United States midterm elections, then the market resolves to Yes.

Venue

Kalshi

Closes

Nov 6, 2026

Identifier

KXEXITPOLL-WCOLMEN-DEM

SF Signal
SF Index
834.73
Regime
neutral

Event family

KXEXITPOLL-WCOLMEN.

The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.

Total volume

$0

Outcomes

2

Highest price

Democratic party 67¢

Current share

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.5

Full indicator table

405.0%
1669.5%
Adj IY
835%
2

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.

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.

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.

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.

Conceptmethodology

Maker / Taker Regime in Prediction Markets: How to Read the Orderbook State

Three regime states (maker-dominated, taker-dominated, neutral) and how to read which one a Kalshi or Polymarket contract is in. Strategy follows regime, not thesis.

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.