SimpleFunctions

Total vote count for all participants in Massachusetts Governor General Election above 2900000

Above 2.9M is priced at 9¢ on Kalshi. Current book: 1¢ bid, 27¢ ask, 26¢ spread. This outcome ranks #4 of 5 inside Will the total vote count for all participants in Massachusetts Governor General Election be above 2.

Price history

9¢ current

+3¢
0¢10¢
May 7, 2026May 16, 2026

Contract brief

If the total vote count for all participants in Massachusetts Governor General Election is above 2900000, then the market resolves to Yes.

Outcome

Above 2.9M

Rank

#4 of 5

Leader

Above 2.6M 2¢

Range

1¢-2¢

Family volume

$0

Identifier

KXMIDTERMVOTETURN-MAGOV-2900000

May 24, 2026, 10:31 PM UTC · 0m ago

Implied probability

9¢
Latest venue quote
May 24, 2026, 10:31 PM UTC · 0m ago

Bid

Ask

27¢

Spread

26¢

Reported volume

$1

Family rank

#4 of 5

5 outcomes · Will the total vote count for all participants in Massachusetts Governor General Election be above 2

Closes

Nov 3, 2027

Family volume

$0

Orderbook snapshot

1 / 27¢

Kalshi
26¢ spread
BidSize
100¢50
AskSize
27¢1
92¢5
98¢65
99¢100

Contract terms

What resolves this market.

YES condition

If the total vote count for all participants in Massachusetts Governor General Election is above 2900000, then the market resolves to Yes.

Venue

Kalshi

Closes

Nov 3, 2027

Identifier

KXMIDTERMVOTETURN-MAGOV-2900000

SF Signal
Regime
neutral

Event family

Will the total vote count for all participants in Massachusetts Governor General Election be above 2.

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

Total volume

$0

Outcomes

5

Highest price

Above 2.6M 2¢

Current share

Browse this series

2026 Election Voter Turnout Markets
Per-series collection — every live contract in the KXMIDTERMVOTETURN series on Kalshi, sorted by 24h volume.

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.5

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

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.