More than 4 weeks · How many straight weeks will 'you seem pretty sad for a girl so in love' be #1?: More than
More than 4 weeks is priced at 14¢ on Kalshi. Current book: 7¢ bid, 19¢ ask, 12¢ spread. This outcome ranks #4 of 6 inside How many straight weeks will 'you seem pretty sad for a girl so in love' be #1?: More than.
Price history
14¢ current
−35¢Contract brief
If you seem pretty sad for a girl so in love by Olivia Rodrigo has had the #1 spot on the Billboard 200 for more than 4 consecutive weeks, then the market resolves to Yes.
Outcome
More than 4 weeks
Rank
#4 of 6
Leader
More than 1 week 99¢
Range
1¢-99¢
Family volume
$235
Identifier
KXTOPALBUMRECORD-YOU-OLI-4
Jun 25, 2026, 8:08 PM UTC · 5m ago
Implied probability
Bid
7¢
Ask
19¢
Spread
12¢
24h volume
$90
Family rank
#4 of 6
6 outcomes · How many straight weeks will 'you seem pretty sad for a girl so in love' be #1?: More than
Closes
Dec 21, 2026
Family volume
$235
Orderbook snapshot
7 / 19¢
Contract terms
What resolves this market.
YES condition
If you seem pretty sad for a girl so in love by Olivia Rodrigo has had the #1 spot on the Billboard 200 for more than 4 consecutive weeks, then the market resolves to Yes.
Venue
Kalshi
Closes
Dec 21, 2026
Identifier
KXTOPALBUMRECORD-YOU-OLI-4
Event family
How many straight weeks will 'you seem pretty sad for a girl so in love' be #1?: More than.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$235
Outcomes
6
Highest price
More than 1 week 99¢
Current share
38%
More than 1 week
kalshi · KXTOPALBUMRECORD-YOU-OLI-1
More than 2 weeks
kalshi · KXTOPALBUMRECORD-YOU-OLI-2
More than 3 weeks
kalshi · KXTOPALBUMRECORD-YOU-OLI-3
More than 4 weeks
kalshi · KXTOPALBUMRECORD-YOU-OLI-4
More than 5 weeks
kalshi · KXTOPALBUMRECORD-YOU-OLI-5
More than 6 weeks
kalshi · KXTOPALBUMRECORD-YOU-OLI-6
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
Full indicator table
Odds pages
Related prediction questions
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
Prediction market liquidity: why depth matters more than volume for serious traders
Why orderbook depth matters more than volume for prediction market traders. Real Kalshi examples, liquidity scoring framework, and how to avoid slippage.
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.
How to Scan Prediction Market Orderbooks: Spread, Depth, and Liquidity Analysis
Practical guide to analyzing orderbook data from Kalshi and Polymarket. Learn spread, depth, liquidity scoring, and executable edge calculation.
Maker / Taker Regime in Prediction Markets: How to Read the Orderbook State
Three regime states (maker-dominated, taker-dominated, neutral) and how to read which one a Kalshi or Polymarket contract is in. Strategy follows regime, not thesis.
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.
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.
SimpleFunctions context
Index, screen, query, and monitor.
Prediction Market Index
Market-wide volatility, geo risk, breadth, and activity around this contract.
Market Screener
Filter adjacent contracts by volume, expiry, IY, CRI, venue, and theme.
Event Probability API
Read 14% as a structured event probability object for agents and apps.
Realtime Data API
Prices, orderbooks, movement, heat, and liquidity indicators across venues.
World State API
Compact market-aware context packets for agent sessions and scheduled refresh.
Hedging Workflows
Map a thesis or exposure to candidate event markets and monitoring paths.
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.