SimpleFunctions

drop dead · KXRANKLIST1SONG-26JUN27

drop dead is priced at 39¢ on Kalshi. Current book: 39¢ bid, 40¢ ask, 1¢ spread. This outcome ranks #4 of 5 inside KXRANKLIST1SONG-26JUN27.

Price history

39¢ current

+34¢
0¢25¢50¢
May 27, 2026May 28, 2026

Contract brief

If drop dead is #1 on the Billboard Hot 100 in June 2026, then the market resolves to Yes.

Outcome

drop dead

Rank

#4 of 5

Leader

hate that i made you love me 88¢

Range

13¢-88¢

Family volume

$14K

Identifier

KXRANKLIST1SONG-26JUN27-DRO

May 28, 2026, 6:38 PM UTC · 10m ago

Implied probability

39¢
Latest venue quote
May 28, 2026, 6:38 PM UTC · 10m ago

Bid

39¢

Ask

40¢

Spread

24h volume

$1K

Family rank

#4 of 5

5 outcomes · KXRANKLIST1SONG-26JUN27

Closes

Jun 27, 2026

Family volume

$14K

Orderbook snapshot

39 / 40¢

Kalshi
1¢ spread
BidSize
39¢224
38¢200
29¢18
28¢30
27¢52
AskSize
40¢332
41¢50
44¢1
45¢120
53¢52

Contract terms

What resolves this market.

YES condition

If drop dead is #1 on the Billboard Hot 100 in June 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 27, 2026

Identifier

KXRANKLIST1SONG-26JUN27-DRO

SF Signal
SF Index
1915.31
Regime
neutral

Event family

KXRANKLIST1SONG-26JUN27.

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

Total volume

$14K

Outcomes

5

Highest price

hate that i made you love me 88¢

Current share

9%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

1915.3%

IY (No)

782.9%

Adj IY

1915%

CRI

2

RV

7481%

VR

4.24

Regime

neutral

Score

0.5

Full indicator table

1915.3%
782.9%
Adj IY
1915%
2
RV
7481%
VR
4.24
IAR
0.8/h
Overround
1.8%

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.