Will Seo Young-kyo win the 2026 Seoul Mayoral Election
This contract is priced at 0¢ midpoint on Polymarket. Current book: 0¢ bid, 0¢ ask, 0¢ spread.
Implied probability
Event outcomes
14
Family volume
$34.4M
Best sibling
Na Kyung-won 0¢
Ticker
0xe13dbf20…b765
Price history
0¢ current
Orderbook snapshot
0 / 0¢
Contract terms
Resolution, venue, and identifiers.
Resolution rules
The 2026 Seoul mayoral election is scheduled to take place on June 3, 2026 to elect the next mayor of Seoul. 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
0xe13dbf20…b765
Event family
2026 Seoul Mayoral 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
$34.4M
Outcomes
14
Highest price
Chong Won-oh 88¢
Current share
9%
Seo Young-kyo
polymarket · 0xe13dbf203961425a8a5090eb0d94b03c08cda7424d7423699fd87794335eb765
Na Kyung-won
polymarket · 0x819ae990aac5ebdf8f3093ec059946d98832f67edd13901df333d39f96b3db8a
Cho Eun-hee
polymarket · 0xe660bc726e2e1171e8af9a1362845f9e85c16550f8918f75959a5229af280c3e
Park Hong-keun
polymarket · 0xa31e61f22cf97acf90a49111ed890b7115749a0b65067e63b798371e6c595a24
Park Yong-jin
polymarket · 0xff26d2bfdfa949ab4d9f91e460ea721fe5a61dad3621ea5c69dfb04b64957be8
Hong Ihk-pyo
polymarket · 0xe9801c96bd2b204fa3f5970893bfed329d6609ad1e1955083c1cb772a06adac3
Han Dong-hoon
polymarket · 0x467cf9f5be224e3e0404f31cc040f6e13b2fa43dbdf12ae3a81ae2ec246dca26
Jeon Hyun-heui
polymarket · 0x03865bd6273b82fe88954a2cf647be4dcc4ebcf03f0e5ef704386318fe409fea
Cho Kuk
polymarket · 0x0e0839e06a1e7b83dc6c27aaa14501e6a6d44f89c2d160792941e69e20e24ef5
Ahn Cheol-soo
polymarket · 0x910a05fb750d627179bc6cdd845fe858f1ef444ad8def0e40d4336c66dc4fdd8
Park Ju-min
polymarket · 0xf21dfd7b985a2e3e78f56f14146013b35cdbd24dbc3f72831d425d7e131ac26b
Kang Hoon-sik
polymarket · 0x1f113d9c62d46e40f5d1808f64c5d5892a583d22ff5d90c7a23737e221ff84ce
Oh Se-hoon
polymarket · 0xc587bda904f031a973ad3cb57128ca011bfab0f45e6cb3734ed2227c4d4be419
Chong Won-oh
polymarket · 0x1b1a75d6305f5edee255b3f368cca945bde401fea4b2a7e34f2fcca3b3e56cf0
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.
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.
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.
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.
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.
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.
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.
Prediction Market Index
Market-wide volatility, geo risk, breadth, and activity around this contract.
Market Screener
Filter adjacent contracts by volume, expiry, IY, CRI, venue, and theme.
Event Probability API
Read 0% as a structured event probability object for agents and apps.
Realtime Data API
Prices, orderbooks, movement, heat, and liquidity indicators across venues.
World State API
Compact market-aware context packets for agent sessions and scheduled refresh.
Hedging Workflows
Map a thesis or exposure to candidate event markets and monitoring paths.