Chuck Schumer · Donald Trump and
Chuck Schumer is priced at 4¢ on Kalshi. Current book: 2¢ bid, 4¢ ask, 2¢ spread. This outcome ranks #9 of 16 inside Donald Trump and.
Price history
4¢ current
−13¢Contract brief
If Donald Trump and Chuck Schumer meet (including phone calls) before Jun 1, 2026, then the market resolves to Yes.
Outcome
Chuck Schumer
Rank
#9 of 16
Leader
Narendra Modi 27¢
Range
1¢-27¢
Family volume
$696
Identifier
KXTRUMPMEET-26MAY-CSCH
May 26, 2026, 11:11 AM UTC · 0m ago
Implied probability
Bid
2¢
Ask
4¢
Spread
2¢
Reported volume
$523
Family rank
#9 of 16
16 outcomes · Donald Trump and
Closes
Jun 1, 2026
Family volume
$696
Orderbook snapshot
2 / 4¢
Contract terms
What resolves this market.
YES condition
If Donald Trump and Chuck Schumer meet (including phone calls) before Jun 1, 2026, then the market resolves to Yes.
Venue
Kalshi
Closes
Jun 1, 2026
Identifier
KXTRUMPMEET-26MAY-CSCH
Event family
Donald Trump and.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$696
Outcomes
16
Highest price
Narendra Modi 27¢
Current share
0%
Narendra Modi
kalshi · KXTRUMPMEET-26MAY-NMOD
Vladimir Putin
kalshi · KXTRUMPMEET-26MAY-VPUT
Ron DeSantis
kalshi · KXTRUMPMEET-26MAY-RDES
Keir Starmer
kalshi · KXTRUMPMEET-26MAY-KSTA
Mark Carney
kalshi · KXTRUMPMEET-26MAY-MCAR
John Cornyn
kalshi · KXTRUMPMEET-26MAY-JCOR
Volodymyr Zelenskyy
kalshi · KXTRUMPMEET-26MAY-VZEL
Lai Ching-te
kalshi · KXTRUMPMEET-26MAY-LCHI
Reza Pahlavi
kalshi · KXTRUMPMEET-26MAY-RPAH
Zohran Mamdani
kalshi · KXTRUMPMEET-26MAY-ZMAM
Hakeem Jeffries
kalshi · KXTRUMPMEET-26MAY-HJEF
Delcy Rodriguez
kalshi · KXTRUMPMEET-26MAY-DROD
Chuck Schumer
kalshi · KXTRUMPMEET-26MAY-CSCH
Haitham bin Tariq
kalshi · KXTRUMPMEET-26MAY-HTAR
Jerome Powell
kalshi · KXTRUMPMEET-26MAY-JPOW
Gavin Newsom
kalshi · KXTRUMPMEET-26MAY-GNEW
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
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.
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.
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.
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.
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 4% 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.