SimpleFunctions

Total vote count for all participants in Maine Senate General Election above 940000

Above 940K is priced at 15¢ on Kalshi. Current book: 17¢ bid, 19¢ ask, 2¢ spread. This outcome ranks #4 of 5 inside Will the total vote count for all participants in Maine Senate General Election be above.

Price history

15¢ current

+5¢
10¢
May 25, 2026Jun 18, 2026

Contract brief

If the total vote count for all participants in Maine Senate General Election is above 940000, then the market resolves to Yes.

Outcome

Above 940K

Rank

#4 of 5

Leader

Above 820K 24¢

Range

10¢-24¢

Family volume

$0

Identifier

KXMIDTERMVOTETURN-MESEN-940000

Jun 23, 2026, 1:08 PM UTC · 5m ago

Implied probability

15¢
Latest venue quote
Jun 23, 2026, 1:08 PM UTC · 5m ago

Bid

17¢

Ask

19¢

Spread

Reported volume

$133

Family rank

#4 of 5

5 outcomes · Will the total vote count for all participants in Maine Senate General Election be above

Closes

Nov 3, 2027

Family volume

$0

Orderbook snapshot

17 / 19¢

Kalshi
2¢ spread
BidSize
17¢100
15¢200
3¢130
2¢540
AskSize
19¢3
24¢100
25¢200
58¢41
69¢149

Contract terms

What resolves this market.

YES condition

If the total vote count for all participants in Maine Senate General Election is above 940000, then the market resolves to Yes.

Venue

Kalshi

Closes

Nov 3, 2027

Identifier

KXMIDTERMVOTETURN-MESEN-940000

SF Signal
SF Index
245.21
Regime
neutral

Event family

Will the total vote count for all participants in Maine Senate General Election be above.

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 820K 24¢

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.

IY (Yes)

490.4%

IY (No)

11.0%

Adj IY

245%

CRI

7

Overround

-0.2%

Regime

neutral

Score

0.5

Full indicator table

490.4%
11.0%
Adj IY
245%
7
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

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.