SimpleFunctions

48 · Will the Democratic party hold

48 is priced at 7¢ on Kalshi. Current book: 6¢ bid, 9¢ ask, 3¢ spread. This outcome ranks #6 of 14 inside Will the Democratic party hold.

Price history

7¢ current

+5¢
0¢5¢10¢
May 15, 2026May 26, 2026

Contract brief

If the Democratic party has exactly 48 Senate seats on Feb 1, 2029, then the market resolves to Yes.

Outcome

48

Rank

#6 of 14

Leader

45 10¢

Range

2¢-10¢

Family volume

$0

Identifier

KXDSENATESEATS-29-E48

Jun 8, 2026, 3:08 AM UTC · 13m ago

Implied probability

7¢
Latest venue quote
Jun 8, 2026, 3:08 AM UTC · 13m ago

Bid

Ask

Spread

Reported volume

$112

Family rank

#6 of 14

14 outcomes · Will the Democratic party hold

Closes

Feb 1, 2029

Family volume

$0

Orderbook snapshot

6 / 9¢

Kalshi
3¢ spread
BidSize
100¢1.4K
6¢521
3¢875
2¢56
AskSize
9¢1
10¢75
11¢329
19¢400
26¢650

Contract terms

What resolves this market.

YES condition

If the Democratic party has exactly 48 Senate seats on Feb 1, 2029, then the market resolves to Yes.

Venue

Kalshi

Closes

Feb 1, 2029

Identifier

KXDSENATESEATS-29-E48

SF Signal
SF Index
147.46
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

589.8%

IY (No)

2.4%

Adj IY

147%

CRI

16

Overround

-0.3%

LAS

0.50

Regime

neutral

Score

0.5

Full indicator table

589.8%
2.4%
Adj IY
147%
16
Overround
-0.3%
LAS
0.50

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.

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.

Blogtech

MCP Servers for Prediction Markets: Connect Claude Code to Kalshi and Polymarket

Connect Claude Code, Cursor, or Cline to Kalshi and Polymarket prediction markets via MCP. One-line setup, 18 tools, real-time market data for AI agents.

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.