SimpleFunctions

218-221 · Will the Democratic party win

218-221 is priced at 8¢ on Kalshi. Current book: 8¢ bid, 9¢ ask, 1¢ spread. This outcome ranks #5 of 12 inside Will the Democratic party win.

Price history

8¢ current

+6¢
0¢10¢
Apr 29, 2026May 18, 2026

Contract brief

If the Democratic party has between 218-221 House seats on Feb 1, 2027, then the market resolves to Yes.

Outcome

218-221

Rank

#5 of 12

Leader

Below 210 13¢

Range

4¢-13¢

Family volume

$2K

Identifier

KXDHOUSESEATS-27-220

May 28, 2026, 11:38 AM UTC · 29m ago

Implied probability

8¢
Latest venue quote
May 28, 2026, 11:38 AM UTC · 29m ago

Bid

Ask

Spread

24h volume

$79

Family rank

#5 of 12

12 outcomes · Will the Democratic party win

Closes

Feb 1, 2027

Family volume

$2K

Orderbook snapshot

8 / 9¢

Kalshi
1¢ spread
BidSize
8¢1.3K
8¢307
7¢200
7¢5
6¢2.5K
AskSize
9¢687
9¢1.0K
12¢1.3K
13¢2.5K
14¢100

Contract terms

What resolves this market.

YES condition

If the Democratic party has between 218-221 House seats on Feb 1, 2027, then the market resolves to Yes.

Venue

Kalshi

Closes

Feb 1, 2027

Identifier

KXDHOUSESEATS-27-220

SF Signal
SF Index
842.40
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

1684.8%

IY (No)

12.7%

Adj IY

842%

CRI

12

Overround

-0.1%

Regime

neutral

Score

0.341

Observability

low

Event type

political

Full indicator table

1684.8%
12.7%
Adj IY
842%
12
Overround
-0.1%

Odds pages

Related prediction questions

Browse odds

Related readings

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

Browse library
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.

Opinionanalysis

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.

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.

Opinionanalysis

Implied Yield vs Raw Probability: Why Bond-Adjacent Prediction Markets Need a Different Lens

Why fixed-income-adjacent prediction-market contracts need to be priced in implied yield, not raw probability, with two real Kalshi Fed-decision contracts as a case study.

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.