SimpleFunctions

Will the Republican party win the governorship in Maine: Robert Charles · GOVPARTYME-26

Will the Republican party win the governorship in Maine: Robert Charles is priced at 16¢ on Kalshi. Current book: 13¢ bid, 16¢ ask, 3¢ spread. This outcome ranks #2 of 2 inside GOVPARTYME-26.

Price history

16¢ current

+9¢
10¢20¢
May 23, 2026Jun 19, 2026

Contract brief

If a representative of the Republican party is inaugurated as the governor of Maine pursuant to the 2026 election, then the market resolves to Yes.

Outcome

Will the Republican party win the governorship in Maine: Robert Charles

Rank

#2 of 2

Leader

Will the Democratic party win the governorship in Maine: Hannah Pingree 84¢

Range

13¢-84¢

Family volume

$148

Identifier

GOVPARTYME-26-R

Jun 22, 2026, 9:38 AM UTC · 12m ago

Implied probability

16¢
Latest venue quote
Jun 22, 2026, 9:38 AM UTC · 12m ago

Bid

13¢

Ask

16¢

Spread

24h volume

$148

Family rank

#2 of 2

2 outcomes · GOVPARTYME-26

Closes

Nov 3, 2027

Family volume

$148

Orderbook snapshot

13 / 16¢

Kalshi
3¢ spread
BidSize
13¢18
12¢32
11¢751
10¢300
9¢5.0K
AskSize
16¢750
17¢25
18¢5.0K
34¢25
35¢5.0K

Contract terms

What resolves this market.

YES condition

If a representative of the Republican party is inaugurated as the governor of Maine pursuant to the 2026 election, then the market resolves to Yes.

Venue

Kalshi

Closes

Nov 3, 2027

Identifier

GOVPARTYME-26-R

SF Signal
SF Index
244.65
Regime
neutral

Event family

GOVPARTYME-26.

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

Total volume

$148

Outcomes

2

Highest price

Will the Democratic party win the governorship in Maine: Hannah Pingree 84¢

Current share

100%

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.55

Full indicator table

489.3%
10.9%
Adj IY
245%
7
5.000

Related readings

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

Browse library
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.

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

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.