SimpleFunctions

Maxwell Frazier · KXHI01D-26

Maxwell Frazier is priced at 4¢ on Kalshi. Current book: 0¢ bid, 1¢ ask, 1¢ spread. This outcome ranks #3 of 3 inside KXHI01D-26.

Price history

4¢ current

0¢5¢
Jun 25, 2026Jun 25, 2026

Contract brief

If Maxwell Frazier wins the nomination for the Democratic Party to contest the 2026 Hawaii first congressional district House seat, then the market resolves to Yes.

Outcome

Maxwell Frazier

Rank

#3 of 3

Leader

Ed Case 69¢

Range

4¢-69¢

Family volume

$379

Identifier

KXHI01D-26-MFRA

Jun 25, 2026, 5:38 PM UTC · 12m ago

Implied probability

4¢
Latest venue quote
Jun 25, 2026, 5:38 PM UTC · 12m ago

Bid

Ask

Spread

Reported volume

$1K

Family rank

#3 of 3

3 outcomes · KXHI01D-26

Closes

Aug 8, 2027

Family volume

$379

Orderbook snapshot

0 / 1¢

Kalshi
1¢ spread
BidSize
AskSize
4¢100
4¢10
4¢1.4K
5¢200
100¢1.0K

Contract terms

What resolves this market.

YES condition

If Maxwell Frazier wins the nomination for the Democratic Party to contest the 2026 Hawaii first congressional district House seat, then the market resolves to Yes.

Venue

Kalshi

Closes

Aug 8, 2027

Identifier

KXHI01D-26-MFRA

SF Signal
SF Index
1071.30
Regime
neutral

Event family

KXHI01D-26.

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

Total volume

$379

Outcomes

3

Highest price

Ed Case 69¢

Current share

0%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

2142.6%

IY (No)

3.7%

Adj IY

1071%

CRI

24

Overround

0.0%

Regime

neutral

Score

0.5

Full indicator table

2142.6%
3.7%
Adj IY
1071%
24
Overround
0.0%

Odds pages

Related prediction questions

Browse odds

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.

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.

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.