Who will win Los Angeles Mayoral Election?
This contract is priced at 25¢ on Kalshi. Current book: 24¢ bid, 25¢ ask, 1¢ spread.
Implied probability
Event outcomes
5
Family volume
$172K
Best sibling
Spencer Pratt 25¢
Ticker
KXMAYORLA-26-KBAS
Price history
25¢ current
−9¢Orderbook snapshot
24 / 25¢
Contract terms
Resolution, venue, and identifiers.
Resolution rules
If Karen Bass wins the Los Angeles Mayoral Election in 2026, then the market resolves to Yes.
Venue
Kalshi
Closes
Jun 2, 2027
Identifier
KXMAYORLA-26-KBAS
Cross-venue match
Similar contract on polymarket at 21¢, +4¢ versus this page.
Event family
Who will win Los Angeles Mayoral Election.
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
$172K
Outcomes
5
Highest price
Nithya Raman 49¢
Current share
7%
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.409
Observability
medium
Event type
political
Full indicator table
Odds pages
Related prediction questions
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.
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.
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 25% 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.