Citywide number of 2-K seats New York City makes available for placement, counting each seat once across all program settings and schedules above 10000 upon completion of the initial 2-K offer release for the 2027–28 school year
Above 10,000 is priced at 29¢ midpoint on Kalshi. Current book: 25¢ bid, 33¢ ask, 8¢ spread. This outcome ranks #4 of 7 inside Will the citywide number of 2-K seats New York City makes available for placement, counting each seat once across all program settings and schedules be above.
Price history
29¢ current
+4¢Contract brief
If the citywide number of 2-K seats New York City makes available for placement, counting each seat once across all program settings and schedules is above 10,000 upon completion of the initial 2-K offer release for the 2027–28 school year, then the market resolves to Yes.
Outcome
Above 10,000
Rank
#4 of 7
Leader
Above 4,000 75¢
Range
2¢-75¢
Family volume
$0
Identifier
KXNYCSTAT-2K27-A10000
Sep 17, 2026, 8:38 PM UTC · 6m ago
Implied probability
Bid
25¢
Ask
33¢
Spread
8¢
Reported volume
$0
Family rank
#4 of 7
7 outcomes · Will the citywide number of 2-K seats New York City makes available for placement, counting each seat once across all program settings and schedules be above
Closes
Sep 1, 2027
Family volume
$0
Orderbook snapshot
25 / 33¢
Contract terms
What resolves this market.
YES condition
If the citywide number of 2-K seats New York City makes available for placement, counting each seat once across all program settings and schedules is above 10,000 upon completion of the initial 2-K offer release for the 2027–28 school year, then the market resolves to Yes.
Venue
Kalshi
Closes
Sep 1, 2027
Identifier
KXNYCSTAT-2K27-A10000
Event family
Will the citywide number of 2-K seats New York City makes available for placement, counting each seat once across all program settings and schedules be above.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$0
Outcomes
7
Highest price
Above 4,000 75¢
Current share
—
Above 4,000
kalshi · KXNYCSTAT-2K27-A4000
Above 6,000
kalshi · KXNYCSTAT-2K27-A6000
Above 8,000
kalshi · KXNYCSTAT-2K27-A8000
Above 10,000
kalshi · KXNYCSTAT-2K27-A10000
Above 12,000
kalshi · KXNYCSTAT-2K27-A12000
Above 14,000
kalshi · KXNYCSTAT-2K27-A14000
Above 16,000
kalshi · KXNYCSTAT-2K27-A16000
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.
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.
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.
Yield Curve (Prediction Markets)
A prediction-market yield curve plots implied yield against τ-days across all sibling contracts in an event family. Borrowed from bond desks, enabled by cycle clustering.
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.
Reading Prediction Market Orderbooks: Liquidity, Spread, and When to Enter
How to read prediction market orderbooks on Kalshi. Covers bid-ask spread analysis, liquidity scoring, executable edge calculation, and when thin markets are opportunities vs traps.
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 29% 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.