SimpleFunctions
PolymarketJun 3, 2026

Will Kim Dong-yeon win the 2026 Gyeonggi Province Gubernatorial Election?

This contract is priced at 0¢ midpoint on Polymarket. Current book: 0¢ bid, 0¢ ask, 0¢ spread.

Implied probability

0¢
$200K volume
$15K liquidity
6% of event volume

Event outcomes

14

Family volume

$3.5M

Best sibling

Choo Mi-ae 92¢

Ticker

0x46384761…fc7b

Price history

0¢ current

25¢50¢75¢100¢
Apr 8, 2026Apr 28, 2026

Orderbook snapshot

0 / 0¢

Polymarket
0¢ spread
BidSize
0¢36K
0¢4.7K
AskSize
0¢1.2K
0¢3.8K
100¢10
100¢100
100¢96
100¢75
100¢266
100¢628

Contract terms

Resolution, venue, and identifiers.

Resolution rules

The 2026 Gyeonggi Province gubernatorial election is scheduled to take place on June 3, 2026 to elect the next Governor of Gyeonggi Province. This market will resolve according to the listed candidate that wins this election. If the result of this election isn't known by January 31, 2027, 11:59 PM ET, the market will resolve to "Other". This market will resolve based on the result of the election as indicated by a consensus of credible reporting. If there is ambiguity, this market will resolve based solely on the official results as reported by the South Korean government, specifically the National Election Commission.

Venue

Polymarket

Closes

Jun 3, 2026

Identifier

0x46384761…fc7b

Event family

2026 Gyeonggi Province Gubernatorial Election Winner.

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

$3.5M

Outcomes

14

Highest price

Choo Mi-ae 92¢

Current share

6%

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.341

Observability

low

Event type

political

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.

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

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.

Conceptmethodology

Reflexivity Loops in Election Markets: When Price → Consensus → Price

Election prediction markets have a feedback loop where price becomes news becomes price. How the loop works, the 2024 case study, and how to size trades against it.

SimpleFunctions context

Index, screen, query, and monitor.

Open index