Will Trump meet with Vladimir Putin in 2026
Will Trump meet with Vladimir Putin in 2026 is priced at 79¢ on Polymarket. Current book: 78¢ bid, 80¢ ask, 2¢ spread. This page tracks a standalone prediction-market contract.
Price history
79¢ current
Contract brief
This market will resolve to "Yes" if the listed individual meets with Donald Trump between January 1, and December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No". A meeting is defined as any encounter where both listed individual and Trump are present and interact with each other in person. The resolution source will be a consensus of credible reporting.
Outcome
Will Trump meet with Vladimir Putin in 2026
Rank
Standalone
Leader
—
Range
—
Family volume
$160K
Identifier
0xc57bc9d0...7081
Oct 11, 2026, 2:29 PM UTC · 0m ago
Implied probability
Bid
78¢
Ask
80¢
Spread
2¢
24h volume
$249
Family rank
Standalone
Standalone contract
Closes
Dec 31, 2026
Family volume
$160K
Orderbook snapshot
78 / 80¢
Contract terms
What resolves this market.
YES condition
This market will resolve to "Yes" if the listed individual meets with Donald Trump between January 1, and December 31, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No". A meeting is defined as any encounter where both listed individual and Trump are present and interact with each other in person. The resolution source will be a consensus of credible reporting.
Venue
Polymarket
Closes
Dec 31, 2026
Identifier
0xc57bc9d0…7081
Event family
This market.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$160K
Outcomes
1
Highest price
Will Trump meet with Vladimir Putin in 2026 79¢
Current share
100%
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
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: 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.
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.
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.
Liquidity Migration Across Resolution: Where the Money Goes When a Market Closes
When a flagship prediction market closes, the capital that was in it migrates to next-period siblings, adjacent categories, or off the venue entirely. Three migration patterns and the receiving-market opportunity.
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 79% 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.