SimpleFunctions

At least 7 weeks · Will Taylor Swift spend

At least 7 weeks is priced at 53¢ on Kalshi. Current book: 37¢ bid, 49¢ ask, 12¢ spread. This outcome ranks #2 of 7 inside Will Taylor Swift spend.

Price history

53¢ current

+4¢
0¢25¢50¢75¢100¢
Jun 15, 2026Jun 25, 2026

Contract brief

If Taylor Swift spends at least 7 week(s) at the #1 position on the Billboard Hot 100 in 2026, then the market resolves to Yes.

Outcome

At least 7 weeks

Rank

#2 of 7

Leader

At least 6 weeks 44¢

Range

10¢-44¢

Family volume

$1K

Identifier

KXWEEKSNUM1-26DEC26-TAY-7

Jun 25, 2026, 7:38 PM UTC · 23m ago

Implied probability

53¢
Latest venue quote
Jun 25, 2026, 7:38 PM UTC · 23m ago

Bid

37¢

Ask

49¢

Spread

12¢

24h volume

$714

Family rank

#2 of 7

7 outcomes · Will Taylor Swift spend

Closes

Dec 26, 2026

Family volume

$1K

Orderbook snapshot

37 / 49¢

Kalshi
12¢ spread
BidSize
37¢148
22¢500
13¢52
12¢500
10¢1.1K
AskSize
49¢248
63¢500
73¢500
82¢1.6K
83¢500

Contract terms

What resolves this market.

YES condition

If Taylor Swift spends at least 7 week(s) at the #1 position on the Billboard Hot 100 in 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Dec 26, 2026

Identifier

KXWEEKSNUM1-26DEC26-TAY-7

SF Signal
SF Index
338.32
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

338.3%

IY (No)

116.7%

Adj IY

338%

CRI

2

RV

9850%

VR

22.37

Regime

neutral

Score

0.5

Full indicator table

338.3%
116.7%
Adj IY
338%
2
RV
9850%
VR
22.37
IAR
0.5/h
Overround
0.8%

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.

Technicalrisk

Position Sizing for Prediction Markets: Kelly Criterion Meets Causal Models

How to use Kelly criterion for prediction market position sizing. With causal model confidence as the probability input, you can calculate optimal bet sizes on Kalshi and Polymarket.

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.