SimpleFunctions

Ariana Grande · KXROLLINGSTONECOVER-27

Ariana Grande is priced at 15¢ on Kalshi. Current book: 8¢ bid, 15¢ ask, 7¢ spread. This outcome ranks #4 of 7 inside KXROLLINGSTONECOVER-27.

Price history

15¢ current

+8¢
0¢10¢
Aug 18, 2026Sep 4, 2026

Contract brief

If it is announced that Ariana Grande is on the cover of Rolling Stone, then the market resolves to Yes.

Outcome

Ariana Grande

Rank

#4 of 7

Leader

Harry Styles 55¢

Range

5¢-55¢

Family volume

$0

Identifier

KXROLLINGSTONECOVER-27-ARI

Sep 17, 2026, 1:38 PM UTC · 1m ago

Implied probability

15¢
Latest venue quote
Sep 17, 2026, 1:38 PM UTC · 1m ago

Bid

Ask

15¢

Spread

Reported volume

$387

Family rank

#4 of 7

7 outcomes · KXROLLINGSTONECOVER-27

Closes

Jan 1, 2027

Family volume

$0

Orderbook snapshot

8 / 15¢

Kalshi
7¢ spread
BidSize
8¢5
7¢100
AskSize
15¢100
55¢181
56¢142
65¢145
85¢200

Contract terms

What resolves this market.

YES condition

If it is announced that Ariana Grande is on the cover of Rolling Stone, then the market resolves to Yes.

Venue

Kalshi

Closes

Jan 1, 2027

Identifier

KXROLLINGSTONECOVER-27-ARI

SF Signal
SF Index
1978.91
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

3957.8%

IY (No)

29.9%

Adj IY

1979%

CRI

12

Overround

0.2%

Regime

neutral

Score

0.409

Observability

medium

Event type

cultural

Full indicator table

3957.8%
29.9%
Adj IY
1979%
12
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.

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.