Will Israel and Saudi Arabia normalize relations before Jan 20, 2029?
This contract is priced at 48¢ on Kalshi. Current book: 43¢ bid, 48¢ ask, 5¢ spread.
Implied probability
Event outcomes
1
Family volume
$11
Best sibling
—
Ticker
KXABRAHAMSA-29-JAN20
Market snapshot
During Trump's term in market context.
This page tracks the Kalshi contract for Will Israel and Saudi Arabia normalize relations before Jan 20, 2029?. The displayed quote is 48¢ from the latest venue quote. The cached market record reports 24h volume of $11. It is currently represented as a standalone prediction-market contract. The indicator bundle was refreshed May 9, 2026, 8:53 AM UTC.
Outcome
During Trump's term
Family rank
—
Venue
Kalshi
Current quote
48¢
Quote source
Latest venue quote
Timing
Listed until Jan 20, 2029
24h volume
$11
Family context
Standalone contract
Quote range
—
Family leader
—
Last updated
May 9, 2026, 8:53 AM UTC · 10m ago
Venue identifier: KXABRAHAMSA-29-JAN20. Family volume: $11.
Price history
48¢ current
+9¢Orderbook snapshot
43 / 48¢
Contract terms
Resolution, venue, and identifiers.
Resolution rules
If Israel and Saudi Arabia normalize diplomatic relations before Jan 20, 2029, then the market resolves to Yes.
Venue
Kalshi
Closes
Jan 20, 2029
Identifier
KXABRAHAMSA-29-JAN20
Event family
KXABRAHAMSA-29.
This view keeps the individual contract next to its sibling outcomes. For long-tail search traffic, this is the useful context: where the current price sits inside the event, how much volume exists around the family, and which outcomes have actual depth.
Total volume
$11
Outcomes
1
Highest price
During Trump's term 43¢
Current share
100%
During Trump's term
kalshi · KXABRAHAMSA-29-JAN20
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.409
Observability
medium
Event type
political
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.
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.
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.
MCP Servers for Prediction Markets: Connect Claude Code to Kalshi and Polymarket
Connect Claude Code, Cursor, or Cline to Kalshi and Polymarket prediction markets via MCP. One-line setup, 18 tools, real-time market data for AI agents.
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 48% 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.