SimpleFunctions

Who will be the Republican nominee for Attorney General in Arizona

Rodney Glassman is priced at 32¢ on Kalshi. Current book: 29¢ bid, 36¢ ask, 7¢ spread. This outcome ranks #2 of 2 inside Who will be the Republican nominee for Attorney General in Arizona.

Price history

32¢ current

4¢
30¢40¢
Jun 14, 2026Jun 24, 2026

Contract brief

If Rodney Glassman wins the Republican Party nomination to contest the 2026 Attorney General election in Arizona, then the market resolves to Yes.

Outcome

Rodney Glassman

Rank

#2 of 2

Leader

Warren Petersen 68¢

Range

29¢-68¢

Family volume

$321

Identifier

KXAGNOMAZR-26-RGLA

Jun 24, 2026, 5:38 AM UTC · 25m ago

Implied probability

32¢
Latest venue quote
Jun 24, 2026, 5:38 AM UTC · 25m ago

Bid

29¢

Ask

36¢

Spread

24h volume

$22

Family rank

#2 of 2

2 outcomes · Who will be the Republican nominee for Attorney General in Arizona

Closes

Aug 4, 2027

Family volume

$321

Orderbook snapshot

29 / 36¢

Kalshi
7¢ spread
BidSize
29¢100
27¢200
5¢24
4¢108
4¢62
AskSize
36¢100
38¢200
52¢166
53¢200
70¢848

Contract terms

What resolves this market.

YES condition

If Rodney Glassman wins the Republican Party nomination to contest the 2026 Attorney General election in Arizona, then the market resolves to Yes.

Venue

Kalshi

Closes

Aug 4, 2027

Identifier

KXAGNOMAZR-26-RGLA

SF Signal
SF Index
109.96
Regime
neutral

Event family

Who will be the Republican nominee for Attorney General in Arizona.

The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.

Total volume

$321

Outcomes

2

Highest price

Warren Petersen 68¢

Current share

7%

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.409

Observability

medium

Event type

political

Full indicator table

219.9%
36.7%
Adj IY
110%
2

Related readings

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

Browse library
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

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.

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.

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.

Blogpolitics

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.

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.