SimpleFunctions

Keisha Lance Bottoms receive between 55% and 60% of the popular vote in the first round of the 2026 Georgia Democratic gubernatorial primary

55% - 60% is priced at 96¢ on Kalshi. Current book: 96¢ bid, 97¢ ask, 1¢ spread. This outcome ranks #1 of 8 inside Will Keisha Lance Bottoms receive.

Price history

96¢ current

+84¢
0¢25¢50¢75¢100¢
May 18, 2026May 22, 2026

Contract brief

If the certified percentage of the popular vote received by Keisha Lance Bottoms in the first round of the 2026 Georgia Democratic gubernatorial primary is 55% to 59.99%, inclusive of both endpoints, then the market resolves to Yes.

Outcome

55% - 60%

Rank

#1 of 8

Leader

55% - 60% 96¢

Range

1¢-96¢

Family volume

$316

Identifier

KXVOTEPRIMARY-GOVGANOMD26KLBKBOT-57

May 24, 2026, 9:08 PM UTC · 23m ago

Implied probability

96¢
Latest venue quote
May 24, 2026, 9:08 PM UTC · 23m ago

Bid

96¢

Ask

97¢

Spread

Reported volume

$793

Family rank

#1 of 8

8 outcomes · Will Keisha Lance Bottoms receive

Closes

May 19, 2027

Family volume

$316

Orderbook snapshot

96 / 97¢

Kalshi
1¢ spread
BidSize
100¢184
96¢399
91¢400
50¢22
5¢107
AskSize
97¢29
99¢516

Contract terms

What resolves this market.

YES condition

If the certified percentage of the popular vote received by Keisha Lance Bottoms in the first round of the 2026 Georgia Democratic gubernatorial primary is 55% to 59.99%, inclusive of both endpoints, then the market resolves to Yes.

Venue

Kalshi

Closes

May 19, 2027

Identifier

KXVOTEPRIMARY-GOVGANOMD26KLBKBOT-57

SF Signal
SF Index
1217.67
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.5

Full indicator table

4.2%
2435.3%
Adj IY
1218%
24

Related readings

Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.

Browse library
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.

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.

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.

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.

Conceptmethodology

Maker / Taker Regime in Prediction Markets: How to Read the Orderbook State

Three regime states (maker-dominated, taker-dominated, neutral) and how to read which one a Kalshi or Polymarket contract is in. Strategy follows regime, not thesis.

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.