SimpleFunctions

Top Global Song on Spotify on Jun 25, 2026

stupid song is priced at 4¢ on Kalshi. Current book: 5¢ bid, 11¢ ask, 6¢ spread. This outcome ranks #2 of 4 inside Top Global Song on Spotify on Jun 25, 2026.

Price history

4¢ current

11¢
0¢10¢20¢
Jun 25, 2026Jun 25, 2026

Contract brief

If stupid song is #1 on the Daily Top Songs Global chart on the chart dated Jun 25, 2026, then the market resolves to Yes.

Outcome

stupid song

Rank

#2 of 4

Leader

hate that i made you love me 35¢

Range

3¢-35¢

Family volume

$515

Identifier

KXSPOTIFYGLOBALD-26JUN25-STU

Jun 25, 2026, 3:08 PM UTC · 12m ago

Implied probability

4¢
Latest venue quote
Jun 25, 2026, 3:08 PM UTC · 12m ago

Bid

Ask

11¢

Spread

24h volume

$292

Family rank

#2 of 4

4 outcomes · Top Global Song on Spotify on Jun 25, 2026

Closes

Jun 26, 2026

Family volume

$515

Orderbook snapshot

5 / 11¢

Kalshi
6¢ spread
BidSize
5¢216
4¢165
AskSize
11¢5
12¢200
67¢100
76¢10
77¢50

Contract terms

What resolves this market.

YES condition

If stupid song is #1 on the Daily Top Songs Global chart on the chart dated Jun 25, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 26, 2026

Identifier

KXSPOTIFYGLOBALD-26JUN25-STU

SF Signal
SF Index
0.00
Regime
neutral

Event family

Top Global Song on Spotify on Jun 25, 2026.

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

Total volume

$515

Outcomes

4

Highest price

hate that i made you love me 35¢

Current share

57%

Indicators

Yield, cliff risk, volatility, and regime.

CRI

19

VR

1.34

IAR

1.5/h

Overround

-0.5%

LAS

12.40

Regime

neutral

Score

0.5

Full indicator table

19
VR
1.34
IAR
1.5/h
Overround
-0.5%
LAS
12.40

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.

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.

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.

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.