SimpleFunctions

Ken Paxton and Graham Platner · Will Texas Senate

Ken Paxton and Graham Platner is priced at 26¢ on Kalshi. Current book: 26¢ bid, 30¢ ask, 4¢ spread. This outcome ranks #3 of 4 inside Will Texas Senate.

Price history

26¢ current

8¢
20¢30¢40¢
May 31, 2026Jun 23, 2026

Contract brief

If ALL of the following occur: Texas Senate: Ken Paxton wins, Maine Senate: Graham Platner wins, then the market resolves to Yes.

Outcome

Ken Paxton and Graham Platner

Rank

#3 of 4

Leader

James Talarico and Graham Platner 35¢

Range

6¢-35¢

Family volume

$2K

Identifier

KXMETXCOMBO-26NOV-PAX-PLA

Jun 24, 2026, 1:08 PM UTC · 7m ago

Implied probability

26¢
Latest venue quote
Jun 24, 2026, 1:08 PM UTC · 7m ago

Bid

26¢

Ask

30¢

Spread

24h volume

$193

Family rank

#3 of 4

4 outcomes · Will Texas Senate

Closes

Nov 3, 2027

Family volume

$2K

Orderbook snapshot

26 / 30¢

Kalshi
4¢ spread
BidSize
26¢491
23¢100
22¢100
21¢211
20¢500
AskSize
30¢100
31¢200
32¢179
34¢300
35¢2.5K

Contract terms

What resolves this market.

YES condition

If ALL of the following occur: Texas Senate: Ken Paxton wins, Maine Senate: Graham Platner wins, then the market resolves to Yes.

Venue

Kalshi

Closes

Nov 3, 2027

Identifier

KXMETXCOMBO-26NOV-PAX-PLA

SF Signal
SF Index
209.01
Regime
neutral

Event family

Will Texas Senate.

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

Total volume

$2K

Outcomes

4

Highest price

James Talarico and Graham Platner 35¢

Current share

12%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

209.0%

IY (No)

25.8%

Adj IY

209%

CRI

3

RV

354%

VR

2.50

Regime

neutral

Score

0.5

Full indicator table

209.0%
25.8%
Adj IY
209%
3
RV
354%
VR
2.50
IAR
0.9/h
Overround
0.0%

Odds pages

Related prediction questions

Browse odds

Related readings

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

Browse library
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

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.

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

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.

Technicalrisk

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.

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.