Will Ryan Gerard finish top 10 for Charles Schwab Challenge
Ryan Gerard is priced at 36¢ on Kalshi. Current book: 24¢ bid, 35¢ ask, 11¢ spread. This outcome ranks #3 of 16 inside Charles Schwab Challenge.
Price history
36¢ current
+24¢Contract brief
If Ryan Gerard finishes in the top 10 (including ties) in the 2026 Charles Schwab Challenge, then the market resolves to Yes.
Outcome
Ryan Gerard
Rank
#3 of 16
Leader
Ludvig Aberg 43¢
Range
2¢-43¢
Family volume
$133K
Identifier
KXPGATOP10-CHSC26-RGER
May 28, 2026, 10:08 PM UTC · 8m ago
Implied probability
Bid
24¢
Ask
35¢
Spread
11¢
24h volume
$446
Family rank
#3 of 16
16 outcomes · Charles Schwab Challenge
Closes
Jun 28, 2026
Family volume
$133K
Orderbook snapshot
24 / 35¢
Contract terms
What resolves this market.
YES condition
If Ryan Gerard finishes in the top 10 (including ties) in the 2026 Charles Schwab Challenge, then the market resolves to Yes.
Venue
Kalshi
Closes
Jun 28, 2026
Identifier
KXPGATOP10-CHSC26-RGER
Event family
Charles Schwab Challenge.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$133K
Outcomes
16
Highest price
Ludvig Aberg 43¢
Current share
0%
Ludvig Aberg
kalshi · KXPGATOP10-CHSC26-LABE
Alex Smalley
kalshi · KXPGATOP10-CHSC26-ASMA
Ryan Gerard
kalshi · KXPGATOP10-CHSC26-RGER
Ben Griffin
kalshi · KXPGATOP10-CHSC26-BGRI
Hideki Matsuyama
kalshi · KXPGATOP10-CHSC26-HMAT
Michael Thorbjornsen
kalshi · KXPGATOP10-CHSC26-MTHO
Mac Meissner
kalshi · KXPGATOP10-CHSC26-MMEI
Justin Thomas
kalshi · KXPGATOP10-CHSC26-JTHO
Eric Cole
kalshi · KXPGATOP10-CHSC26-ECOL
Tom Hoge
kalshi · KXPGATOP10-CHSC26-THOG
Michael Kim
kalshi · KXPGATOP10-CHSC26-MKIM
Ricky Castillo
kalshi · KXPGATOP10-CHSC26-RCAS
Davis Riley
kalshi · KXPGATOP10-CHSC26-DRIL
Zac Blair
kalshi · KXPGATOP10-CHSC26-ZBLA
Rickie Fowler
kalshi · KXPGATOP10-CHSC26-RFOW
Davis Thompson
kalshi · KXPGATOP10-CHSC26-DTHO
Browse this series
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.
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.
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 36% 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.