Nigeria · Will a human case of Ebola disease
Nigeria is priced at 15¢ on Kalshi. Current book: 8¢ bid, 14¢ ask, 6¢ spread. This outcome ranks #14 of 16 inside Will a human case of Ebola disease.
Price history
15¢ current
+8¢Contract brief
If a confirmed human case of Ebola disease in Nigeria is officially reported before Jul 1, 2026, then the market resolves to Yes.
Outcome
Nigeria
Rank
#14 of 16
Leader
South Sudan 56¢
Range
6¢-56¢
Family volume
$8K
Identifier
KXEBOLACOUNTRY-JUL26-NIGE
May 27, 2026, 1:08 PM UTC · 24m ago
Implied probability
Bid
8¢
Ask
14¢
Spread
6¢
Reported volume
$252
Family rank
#14 of 16
16 outcomes · Will a human case of Ebola disease
Closes
Jul 1, 2026
Family volume
$8K
Orderbook snapshot
8 / 14¢
Contract terms
What resolves this market.
YES condition
If a confirmed human case of Ebola disease in Nigeria is officially reported before Jul 1, 2026, then the market resolves to Yes.
Venue
Kalshi
Closes
Jul 1, 2026
Identifier
KXEBOLACOUNTRY-JUL26-NIGE
Event family
Will a human case of Ebola disease.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$8K
Outcomes
16
Highest price
South Sudan 56¢
Current share
0%
South Sudan
kalshi · KXEBOLACOUNTRY-JUL26-SUD
Rwanda
kalshi · KXEBOLACOUNTRY-JUL26-RWA
India
kalshi · KXEBOLACOUNTRY-JUL26-IND
Kenya
kalshi · KXEBOLACOUNTRY-JUL26-KEN
Burundi
kalshi · KXEBOLACOUNTRY-JUL26-BUR
United States
kalshi · KXEBOLACOUNTRY-JUL26-USA
Republic of the Congo
kalshi · KXEBOLACOUNTRY-JUL26-RCON
Central African Republic
kalshi · KXEBOLACOUNTRY-JUL26-CAR
Tanzania
kalshi · KXEBOLACOUNTRY-JUL26-TANZ
Angola
kalshi · KXEBOLACOUNTRY-JUL26-ANG
Zambia
kalshi · KXEBOLACOUNTRY-JUL26-ZAMB
China
kalshi · KXEBOLACOUNTRY-JUL26-CHI
Canada
kalshi · KXEBOLACOUNTRY-JUL26-CANA
Nigeria
kalshi · KXEBOLACOUNTRY-JUL26-NIGE
Somalia
kalshi · KXEBOLACOUNTRY-JUL26-SOM
Ethiopia
kalshi · KXEBOLACOUNTRY-JUL26-ETHI
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
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.
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.
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.
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.
The case for agentic market making on Kalshi
Why traditional market makers skip prediction markets and how thesis-informed agents with catalyst awareness will dominate Kalshi liquidity provision.
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 15% 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.