Dinner Party have at least 60,000 Pure Album Sales on the Hits Daily Double Top 50 Chart for the week immediately following the wide release of Dinner Party
At least 60,000 albums is priced at 38¢ on Kalshi. Current book: 21¢ bid, 37¢ ask, 16¢ spread. This outcome ranks #6 of 12 inside Will Dinner Party have at least.
Price history
38¢ current
+26¢Contract brief
If Dinner Party by Niall Horan has at least 60,000 Pure Album Sales on the Hits Daily Double Top 50 Chart for the week immediately following the wide release of Dinner Party, then the market resolves to Yes.
Outcome
At least 60,000 albums
Rank
#6 of 12
Leader
At least 10,000 albums 76¢
Range
1¢-76¢
Family volume
$0
Identifier
KXALBUMSALES-DIN-PURE-60000
Jun 4, 2026, 2:08 AM UTC · 18m ago
Implied probability
Bid
21¢
Ask
37¢
Spread
16¢
Reported volume
$17
Family rank
#6 of 12
12 outcomes · Will Dinner Party have at least
Closes
Jun 12, 2026
Family volume
$0
Orderbook snapshot
21 / 37¢
Contract terms
What resolves this market.
YES condition
If Dinner Party by Niall Horan has at least 60,000 Pure Album Sales on the Hits Daily Double Top 50 Chart for the week immediately following the wide release of Dinner Party, then the market resolves to Yes.
Venue
Kalshi
Closes
Jun 12, 2026
Identifier
KXALBUMSALES-DIN-PURE-60000
Event family
Will Dinner Party have at least.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$0
Outcomes
12
Highest price
At least 10,000 albums 76¢
Current share
—
At least 10,000 albums
kalshi · KXALBUMSALES-DIN-PURE-10000
At least 20,000 albums
kalshi · KXALBUMSALES-DIN-PURE-20000
At least 30,000 albums
kalshi · KXALBUMSALES-DIN-PURE-30000
At least 40,000 albums
kalshi · KXALBUMSALES-DIN-PURE-40000
At least 50,000 albums
kalshi · KXALBUMSALES-DIN-PURE-50000
At least 60,000 albums
kalshi · KXALBUMSALES-DIN-PURE-60000
At least 70,000 albums
kalshi · KXALBUMSALES-DIN-PURE-70000
At least 80,000 albums
kalshi · KXALBUMSALES-DIN-PURE-80000
At least 100,000 albums
kalshi · KXALBUMSALES-DIN-PURE-100000
At least 110,000 albums
kalshi · KXALBUMSALES-DIN-PURE-110000
At least 140,000 albums
kalshi · KXALBUMSALES-DIN-PURE-140000
At least 90,000 albums
kalshi · KXALBUMSALES-DIN-PURE-90000
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.568
Observability
high
Event type
financial
Full indicator table
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
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.
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.
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.
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.
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.
MCP Servers for Prediction Markets: Connect Claude Code to Kalshi and Polymarket
Connect Claude Code, Cursor, or Cline to Kalshi and Polymarket prediction markets via MCP. One-line setup, 18 tools, real-time market data for AI agents.
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 38% 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.