SimpleFunctions

49 · Will the Republican party hold

49 is priced at 13¢ on Kalshi. Current book: 12¢ bid, 13¢ ask, 1¢ spread. This outcome ranks #3 of 15 inside Will the Republican party hold.

Price history

13¢ current

1¢
10¢15¢
Jun 19, 2026Jun 19, 2026

Contract brief

If the Republican party has exactly 49 Senate seats on Feb 1, 2027, then the market resolves to Yes.

Outcome

49

Rank

#3 of 15

Leader

50 15¢

Range

2¢-15¢

Family volume

$32

Identifier

RSENATESEATS-27-E49

Jun 22, 2026, 11:08 PM UTC · 6m ago

Implied probability

13¢
Latest venue quote
Jun 22, 2026, 11:08 PM UTC · 6m ago

Bid

12¢

Ask

13¢

Spread

24h volume

$32

Family rank

#3 of 15

15 outcomes · Will the Republican party hold

Closes

Feb 1, 2027

Family volume

$32

Orderbook snapshot

12 / 13¢

Kalshi
1¢ spread
BidSize
12¢4.0K
11¢2.0K
10¢5
7¢500
5¢1.0K
AskSize
13¢501
14¢1.1K
15¢80
16¢1.6K
18¢100

Contract terms

What resolves this market.

YES condition

If the Republican party has exactly 49 Senate seats on Feb 1, 2027, then the market resolves to Yes.

Venue

Kalshi

Closes

Feb 1, 2027

Identifier

RSENATESEATS-27-E49

SF Signal
SF Index
598.38
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

1196.8%

IY (No)

22.3%

Adj IY

598%

CRI

7

Overround

0.0%

Regime

neutral

Score

0.5

Full indicator table

1196.8%
22.3%
Adj IY
598%
7
Overround
0.0%

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.

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.

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.