SimpleFunctions

At least 5 the Senate Republicans lose re-election in 2026

5 or more is priced at 47¢ on Kalshi. Current book: 47¢ bid, 53¢ ask, 6¢ spread. This outcome ranks #1 of 4 inside KXLOSEREELECTIONRSEN-2026.

Price history

47¢ current

+11¢
40¢50¢
Jul 12, 2026Aug 9, 2026

Contract brief

If at least 5 members of the Senate Republicans lose re-election in 2026, then the market resolves to Yes.

Outcome

5 or more

Rank

#1 of 4

Leader

5 or more 47¢

Range

3¢-47¢

Family volume

$274

Identifier

KXLOSEREELECTIONRSEN-2026-5

Aug 9, 2026, 7:38 AM UTC · 17m ago

Implied probability

47¢
Latest venue quote
Aug 9, 2026, 7:38 AM UTC · 17m ago

Bid

47¢

Ask

53¢

Spread

24h volume

$274

Family rank

#1 of 4

4 outcomes · KXLOSEREELECTIONRSEN-2026

Closes

Dec 31, 2026

Family volume

$274

Orderbook snapshot

47 / 53¢

Kalshi
6¢ spread
BidSize
47¢251
45¢500
42¢40
41¢40
40¢100
AskSize
53¢5
54¢250
55¢500
75¢8
80¢28

Contract terms

What resolves this market.

YES condition

If at least 5 members of the Senate Republicans lose re-election in 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Dec 31, 2026

Identifier

KXLOSEREELECTIONRSEN-2026-5

SF Signal
SF Index
142.61
Regime
neutral

Event family

KXLOSEREELECTIONRSEN-2026.

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

Total volume

$274

Outcomes

4

Highest price

5 or more 47¢

Current share

100%

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.365

Observability

low

Event type

political

Full indicator table

285.2%
224.3%
Adj IY
143%
1
32.000
Overround
-0.2%

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.

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

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.

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.