Above 350000 gonorrhea cases in the United States during 2026
Above 350000 gonorrhea cases in the United States during 2026: Above 350k is priced at 83¢ on Kalshi. Current book: 68¢ bid, 72¢ ask, 4¢ spread. This outcome ranks #4 of 9 inside KXGONORRHEACOUNT-27JAN01.
Price history
83¢ current
+81¢Contract brief
If the total number of gonorrhea cases reported in the United States during 2026 is above 350000, then the market resolves to Yes.
Outcome
Above 350000 gonorrhea cases in the United States during 2026: Above 350k
Rank
#4 of 9
Leader
Above 285000 gonorrhea cases in the United States during 2026: Above 285k 81¢
Range
19¢-81¢
Family volume
$22
Identifier
KXGONORRHEACOUNT-27JAN01-A350000
May 28, 2026, 7:08 PM UTC · 3m ago
Implied probability
Bid
68¢
Ask
72¢
Spread
4¢
Reported volume
$2K
Family rank
#4 of 9
9 outcomes · KXGONORRHEACOUNT-27JAN01
Closes
Jan 1, 2027
Family volume
$22
Orderbook snapshot
68 / 72¢
Contract terms
What resolves this market.
YES condition
If the total number of gonorrhea cases reported in the United States during 2026 is above 350000, then the market resolves to Yes.
Venue
Kalshi
Closes
Jan 1, 2027
Identifier
KXGONORRHEACOUNT-27JAN01-A350000
Event family
KXGONORRHEACOUNT-27JAN01.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$22
Outcomes
9
Highest price
Above 285000 gonorrhea cases in the United States during 2026: Above 285k 81¢
Current share
0%
Above 285000 gonorrhea cases in the United States during 2026: Above 285k
kalshi · KXGONORRHEACOUNT-27JAN01-A285000
Above 300000 gonorrhea cases in the United States during 2026: Above 300k
kalshi · KXGONORRHEACOUNT-27JAN01-A300000
Above 325000 gonorrhea cases in the United States during 2026: Above 325k
kalshi · KXGONORRHEACOUNT-27JAN01-A325000
Above 350000 gonorrhea cases in the United States during 2026: Above 350k
kalshi · KXGONORRHEACOUNT-27JAN01-A350000
Above 375000 gonorrhea cases in the United States during 2026: Above 375k
kalshi · KXGONORRHEACOUNT-27JAN01-A375000
Above 400000 gonorrhea cases in the United States during 2026: Above 400k
kalshi · KXGONORRHEACOUNT-27JAN01-A400000
Above 425000 gonorrhea cases in the United States during 2026: Above 425k
kalshi · KXGONORRHEACOUNT-27JAN01-A425000
Above 450000 gonorrhea cases in the United States during 2026: Above 450k
kalshi · KXGONORRHEACOUNT-27JAN01-A450000
Above 500000 gonorrhea cases in the United States during 2026: Above 500k
kalshi · KXGONORRHEACOUNT-27JAN01-A500000
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.
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: 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.
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.
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.
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.
Computing Liquidity Availability Score from the Orderbook
Step-by-step guide to computing the Liquidity Availability Score in TypeScript and Python, with edge cases for thin orderbooks, missing data, and the warm-cron coverage limitation.
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 83% 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.