SimpleFunctions

Will Cameron Young finish top 20 for The Open Championship

Cameron Young is priced at 47¢ on Kalshi. Current book: 1¢ bid, 45¢ ask, 44¢ spread. This outcome ranks #16 of 16 inside The Open Championship.

Price history

47¢ current

+46¢
0¢25¢50¢
Jun 24, 2026Jul 11, 2026

Contract brief

If Cameron Young finishes in the top 20 (including ties) in the 2026 The Open Championship, then the market resolves to Yes.

Outcome

Cameron Young

Rank

#16 of 16

Leader

Eric Cole 40¢

Range

1¢-40¢

Family volume

$4K

Identifier

KXPGATOP20-THOC26-CAME

Jul 11, 2026, 12:49 PM UTC · 0m ago

Implied probability

47¢
Latest venue quote
Jul 11, 2026, 12:49 PM UTC · 0m ago

Bid

Ask

45¢

Spread

44¢

Reported volume

$3K

Family rank

#16 of 16

16 outcomes · The Open Championship

Closes

Aug 16, 2026

Family volume

$4K

Orderbook snapshot

1 / 45¢

Kalshi
44¢ spread
BidSize
100¢2.0K
AskSize
45¢5
46¢2.0K
47¢1.0K
48¢1.0K
49¢1.0K

Contract terms

What resolves this market.

YES condition

If Cameron Young finishes in the top 20 (including ties) in the 2026 The Open Championship, then the market resolves to Yes.

Venue

Kalshi

Closes

Aug 16, 2026

Identifier

KXPGATOP20-THOC26-CAME

SF Signal
Regime
taker

Browse this series

PGA Championship Top-N Finish Markets
Per-series collection — every live contract in the KXPGATOP series on Kalshi, sorted by 24h volume.

Indicators

Yield, cliff risk, volatility, and regime.

Regime

taker

Score

0.636

Observability

direct

Event type

sports

Related readings

Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.

Browse library
Blogmarkets

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.

Opinioncomparison

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.

Blogmarkets

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.

Technicalguide

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.

Opinionanalysis

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.

Opinionanalysis

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.

Open index

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.