SimpleFunctions

Ariana Madix as the official host · KXROLEINPRODUCTIONLI-27JUL31

Ariana Madix as the official host? is priced at 78¢ on Kalshi. Current book: 77¢ bid, 83¢ ask, 6¢ spread. This page tracks a standalone prediction-market contract.

Price history

78¢ current

+2¢
70¢80¢
Jul 17, 2026Aug 16, 2026

Contract brief

If Ariana Madix performs as the official host in Love Island USA Season 9, then the market resolves to Yes.

Outcome

Ariana Madix as the official host?

Rank

Standalone

Leader

Range

Family volume

$38

Identifier

KXROLEINPRODUCTIONLI-27JUL31-ARI

Aug 16, 2026, 11:08 AM UTC · 11m ago

Implied probability

78¢
Latest venue quote
Aug 16, 2026, 11:08 AM UTC · 11m ago

Bid

77¢

Ask

83¢

Spread

24h volume

$38

Family rank

Standalone

Standalone contract

Closes

Aug 7, 2027

Family volume

$38

Orderbook snapshot

77 / 83¢

Kalshi
6¢ spread
BidSize
77¢116
76¢2
74¢12
72¢2
70¢8
AskSize
83¢35
84¢16
85¢166
88¢6
90¢43

Contract terms

What resolves this market.

YES condition

If Ariana Madix performs as the official host in Love Island USA Season 9, then the market resolves to Yes.

Venue

Kalshi

Closes

Aug 7, 2027

Identifier

KXROLEINPRODUCTIONLI-27JUL31-ARI

SF Signal
SF Index
363.39
Regime
neutral

Event family

KXROLEINPRODUCTIONLI-27JUL31.

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

Total volume

$38

Outcomes

1

Highest price

Ariana Madix as the official host? 77¢

Current share

100%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

28.9%

IY (No)

363.4%

Adj IY

363%

CRI

4

RV

161%

VR

3.07

Regime

neutral

Score

0.5

Full indicator table

28.9%
363.4%
Adj IY
363%
4
RV
161%
VR
3.07
IAR
0.9/h

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.