SimpleFunctions
KalshiNov 3, 2027543 days left

Will the total vote count for all participants in Hawaii Governor General Election be above 490000?

This contract is priced at 6¢ on Kalshi. Current book: 5¢ bid, 6¢ ask, 1¢ spread.

Implied probability

6¢
$283 volume
$83 liquidity
35% of event volume

Event outcomes

5

Family volume

$800

Best sibling

Above 410K 62¢

Ticker

KXMIDTERMVOTETURN-HIGOV-490000

Market snapshot

Above 490K in market context.

This page tracks the Kalshi contract for Will the total vote count for all participants in Hawaii Governor General Election be above 490000?. The displayed quote is 6¢ from the latest venue quote. The cached market record reports reported volume of $283. In the Will the total vote count for all participants in Hawaii Governor General Election be above 4 family, this outcome ranks #5 of 5 by current quote across 5 sibling outcomes. The indicator bundle was refreshed May 9, 2026, 6:08 AM UTC.

Outcome

Above 490K

Family rank

#5 of 5

Venue

Kalshi

Current quote

Quote source

Latest venue quote

Timing

Listed until Nov 3, 2027

Reported volume

$283

Family context

5 outcomes · Will the total vote count for all participants in Hawaii Governor General Election be above 4

Quote range

5¢-62¢

Family leader

Above 410K 62¢

Last updated

May 9, 2026, 6:08 AM UTC · 9m ago

Venue identifier: KXMIDTERMVOTETURN-HIGOV-490000. Family volume: $800.

Price history

6¢ current

+1¢
25¢50¢75¢100¢
May 6, 2026May 7, 2026

Orderbook snapshot

5 / 6¢

Kalshi
1¢ spread
BidSize
100¢3.1K
5¢2.5K
4¢2.5K
2¢1.1K
AskSize
6¢2.5K
10¢100
11¢200
27¢1
91¢200

Contract terms

Resolution, venue, and identifiers.

Resolution rules

If the total vote count for all participants in Hawaii Governor General Election is above 490000, then the market resolves to Yes.

Venue

Kalshi

Closes

Nov 3, 2027

Identifier

KXMIDTERMVOTETURN-HIGOV-490000

Event family

Will the total vote count for all participants in Hawaii Governor General Election be above 4.

This view keeps the individual contract next to its sibling outcomes. For long-tail search traffic, this is the useful context: where the current price sits inside the event, how much volume exists around the family, and which outcomes have actual depth.

Total volume

$800

Outcomes

5

Highest price

Above 410K 62¢

Current share

0%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

1276.3%

IY (No)

3.5%

Adj IY

638%

CRI

19

Overround

0.2%

Regime

neutral

Score

0.5

Full indicator table

1276.3%
3.5%
Adj IY
638%
19
Overround
0.2%

Related readings

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

Browse library
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

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.

Technicalrisk

Reading Prediction Market Orderbooks: Liquidity, Spread, and When to Enter

How to read prediction market orderbooks on Kalshi. Covers bid-ask spread analysis, liquidity scoring, executable edge calculation, and when thin markets are opportunities vs traps.

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