At least 2 · How many 2026 FIFA World Cup matches will Donald Trump attend this season?: At least
At least 2 is priced at 42¢ on Kalshi. Current book: 41¢ bid, 42¢ ask, 1¢ spread. This outcome ranks #2 of 3 inside How many 2026 FIFA World Cup matches will Donald Trump attend this season?: At least.
Price history
42¢ current
+31¢Contract brief
If Donald Trump attends at least 2 2026 FIFA World Cup matches, then the market resolves to Yes.
Outcome
At least 2
Rank
#2 of 3
Leader
At least 1 93¢
Range
15¢-93¢
Family volume
$7K
Identifier
KXTRUMPWORLDCUP-26-DJT-2
Jun 17, 2026, 3:08 PM UTC · 8m ago
Implied probability
Bid
41¢
Ask
42¢
Spread
1¢
24h volume
$1K
Family rank
#2 of 3
3 outcomes · How many 2026 FIFA World Cup matches will Donald Trump attend this season?: At least
Closes
Jul 21, 2026
Family volume
$7K
Orderbook snapshot
41 / 42¢
Contract terms
What resolves this market.
YES condition
If Donald Trump attends at least 2 2026 FIFA World Cup matches, then the market resolves to Yes.
Venue
Kalshi
Closes
Jul 21, 2026
Identifier
KXTRUMPWORLDCUP-26-DJT-2
Event family
How many 2026 FIFA World Cup matches will Donald Trump attend this season?: At least.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$7K
Outcomes
3
Highest price
At least 1 93¢
Current share
16%
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.
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: 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.
How to Scan Prediction Market Orderbooks: Spread, Depth, and Liquidity Analysis
Practical guide to analyzing orderbook data from Kalshi and Polymarket. Learn spread, depth, liquidity scoring, and executable edge calculation.
US Midterm Elections 2026 Prediction Markets: Trading the Battle for Congress
A deep‑dive guide for prediction market traders on the 2026 US midterm elections: House and Senate control odds, key races, Trump’s impact, economic and approval scenarios, polling accuracy, and data‑driven trading strategies.
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.