SimpleFunctions

Total vote count for all participants in the first round of the 2026 Los Angeles mayoral election above 550000

Above 550k is priced at 95¢ on Kalshi. Current book: 95¢ bid, 99¢ ask, 4¢ spread. This outcome ranks #1 of 7 inside Will the total vote count for all participants in the first round of the 2026 Los Angeles mayoral election be above.

Price history

95¢ current

+6¢
0¢25¢50¢75¢100¢
May 15, 2026May 23, 2026

Contract brief

If the total vote count for all participants in the first round of the 2026 Los Angeles mayoral election is above 550000, then the market resolves to Yes.

Outcome

Above 550k

Rank

#1 of 7

Leader

Above 550k 95¢

Range

30¢-95¢

Family volume

$31

Identifier

KXPRIMARYTURNOUT-MAYORLA26-550000

May 26, 2026, 5:08 PM UTC · 12m ago

Implied probability

95¢
Latest venue quote
May 26, 2026, 5:08 PM UTC · 12m ago

Bid

95¢

Ask

99¢

Spread

Reported volume

$400

Family rank

#1 of 7

7 outcomes · Will the total vote count for all participants in the first round of the 2026 Los Angeles mayoral election be above

Closes

Jun 2, 2027

Family volume

$31

Orderbook snapshot

95 / 99¢

Kalshi
4¢ spread
BidSize
95¢100
93¢200
91¢2.0K
88¢200
81¢200
AskSize
99¢100

Contract terms

What resolves this market.

YES condition

If the total vote count for all participants in the first round of the 2026 Los Angeles mayoral election is above 550000, then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 2, 2027

Identifier

KXPRIMARYTURNOUT-MAYORLA26-550000

SF Signal
SF Index
932.45
Regime
neutral

Event family

Will the total vote count for all participants in the first round of the 2026 Los Angeles mayoral election be above.

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

Total volume

$31

Outcomes

7

Highest price

Above 550k 95¢

Current share

0%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

5.2%

IY (No)

1864.9%

Adj IY

932%

CRI

19

Overround

4.1%

Regime

neutral

Score

0.5

Full indicator table

5.2%
1864.9%
Adj IY
932%
19
Overround
4.1%

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.

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

Your First Prediction Market Trade: End-to-End CLI Walkthrough

Step-by-step CLI tutorial for your first prediction market trade. Install, scan, create a thesis, find edges, check liquidity, place an order, and monitor — all from the command line.

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.

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.