Cristobal · KXHURRICANENAMES-26DEC01ATL
Cristobal is priced at 42¢ on Kalshi. Current book: 41¢ bid, 47¢ ask, 6¢ spread. This outcome ranks #5 of 14 inside KXHURRICANENAMES-26DEC01ATL.
Price history
42¢ current
+8¢Contract brief
If a storm named Cristobal is a storm categorized as a hurricane in the Atlantic between May 15, 2026 and December 01, 2026, then the market resolves to Yes.
Outcome
Cristobal
Rank
#5 of 14
Leader
Nana 95¢
Range
1¢-95¢
Family volume
$986
Identifier
KXHURRICANENAMES-26DEC01ATL-CRI
Jul 16, 2026, 10:38 PM UTC · 15m ago
Implied probability
Bid
41¢
Ask
47¢
Spread
6¢
24h volume
$41
Family rank
#5 of 14
14 outcomes · KXHURRICANENAMES-26DEC01ATL
Closes
Dec 1, 2026
Family volume
$986
Orderbook snapshot
41 / 47¢
Contract terms
What resolves this market.
YES condition
If a storm named Cristobal is a storm categorized as a hurricane in the Atlantic between May 15, 2026 and December 01, 2026, then the market resolves to Yes.
Venue
Kalshi
Closes
Dec 1, 2026
Identifier
KXHURRICANENAMES-26DEC01ATL-CRI
Event family
KXHURRICANENAMES-26DEC01ATL.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$986
Outcomes
14
Highest price
Nana 95¢
Current share
4%
Nana
kalshi · KXHURRICANENAMES-26DEC01ATL-NAN
Edouard
kalshi · KXHURRICANENAMES-26DEC01ATL-EDO
Dolly
kalshi · KXHURRICANENAMES-26DEC01ATL-DOL
Fay
kalshi · KXHURRICANENAMES-26DEC01ATL-FAY
Cristobal
kalshi · KXHURRICANENAMES-26DEC01ATL-CRI
Gonzalo
kalshi · KXHURRICANENAMES-26DEC01ATL-GON
Bertha
kalshi · KXHURRICANENAMES-26DEC01ATL-BER
Hanna
kalshi · KXHURRICANENAMES-26DEC01ATL-HAN
Isaias
kalshi · KXHURRICANENAMES-26DEC01ATL-ISA
Josephine
kalshi · KXHURRICANENAMES-26DEC01ATL-JOS
Kyle
kalshi · KXHURRICANENAMES-26DEC01ATL-KYL
Leah
kalshi · KXHURRICANENAMES-26DEC01ATL-LEA
Marco
kalshi · KXHURRICANENAMES-26DEC01ATL-MAR
Arthur
kalshi · KXHURRICANENAMES-26DEC01ATL-ART
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.568
Observability
high
Event type
weather
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.
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.
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.
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 42% 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.