Total vote count for all participants in California Governor General Election above 13100000
Above 13.1M is priced at 20¢ on Kalshi. Current book: 16¢ bid, 22¢ ask, 6¢ spread. This outcome ranks #5 of 5 inside Will the total vote count for all participants in California Governor General Election be above 1.
Price history
20¢ current
+12¢Contract brief
If the total vote count for all participants in California Governor General Election is above 13100000, then the market resolves to Yes.
Outcome
Above 13.1M
Rank
#5 of 5
Leader
Above 10.9M 78¢
Range
16¢-78¢
Family volume
$257
Identifier
KXMIDTERMVOTETURN-CAGOV-13100000
Jun 21, 2026, 1:08 PM UTC · 14m ago
Implied probability
Bid
16¢
Ask
22¢
Spread
6¢
Reported volume
$8K
Family rank
#5 of 5
5 outcomes · Will the total vote count for all participants in California Governor General Election be above 1
Closes
Nov 3, 2027
Family volume
$257
Orderbook snapshot
16 / 22¢
Contract terms
What resolves this market.
YES condition
If the total vote count for all participants in California Governor General Election is above 13100000, then the market resolves to Yes.
Venue
Kalshi
Closes
Nov 3, 2027
Identifier
KXMIDTERMVOTETURN-CAGOV-13100000
Event family
Will the total vote count for all participants in California Governor General Election be above 1.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$257
Outcomes
5
Highest price
Above 10.9M 78¢
Current share
0%
Above 10.9M
kalshi · KXMIDTERMVOTETURN-CAGOV-10900000
Above 11.5M
kalshi · KXMIDTERMVOTETURN-CAGOV-11500000
Above 12M
kalshi · KXMIDTERMVOTETURN-CAGOV-12000000
Above 12.6M
kalshi · KXMIDTERMVOTETURN-CAGOV-12600000
Above 13.1M
kalshi · KXMIDTERMVOTETURN-CAGOV-13100000
Browse this series
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
Full indicator table
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
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.
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.
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.
Reading Prediction Market Orderbooks: Liquidity, Spread, and When to Enter
How to read prediction market orderbooks on Kalshi. Covers bid-ask spread analysis, liquidity scoring, executable edge calculation, and when thin markets are opportunities vs traps.
Gavin Newsom December 2025: How California’s Governor Is Shaping the 2028 Presidential Odds
In-depth look at Gavin Newsom’s status in December 2025, his California record, and what prediction markets are signaling about his 2028 presidential chances.
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 20% 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.
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.