SimpleFunctions

Ken Paxton · SENATETX-26

Ken Paxton is priced at 58¢ on Kalshi. Current book: 58¢ bid, 59¢ ask, 1¢ spread. This outcome ranks #1 of 2 inside SENATETX-26.

Price history

58¢ current

+4¢
50¢60¢
May 14, 2026Jun 13, 2026

Contract brief

If a representative of the Republican party is sworn in as a Senator of Texas for the term beginning in 2027, then the market resolves to Yes.

Outcome

Ken Paxton

Rank

#1 of 2

Leader

Ken Paxton 58¢

Range

42¢-58¢

Family volume

$19K

Identifier

SENATETX-26-R

Jun 14, 2026, 5:38 AM UTC · 14m ago

Implied probability

58¢
Latest venue quote
Jun 14, 2026, 5:38 AM UTC · 14m ago

Bid

58¢

Ask

59¢

Spread

24h volume

$7K

Family rank

#1 of 2

2 outcomes · SENATETX-26

Closes

Nov 3, 2027

Family volume

$19K

Orderbook snapshot

58 / 59¢

Kalshi
1¢ spread
BidSize
58¢3.5K
57¢13K
56¢9.5K
55¢13K
54¢14K
AskSize
59¢4.1K
60¢32K
61¢29K
62¢18K
63¢5.9K

Contract terms

What resolves this market.

YES condition

If a representative of the Republican party is sworn in as a Senator of Texas for the term beginning in 2027, then the market resolves to Yes.

Venue

Kalshi

Closes

Nov 3, 2027

Identifier

SENATETX-26-R

SF Signal
SF Index
97.63
Regime
neutral

Event family

SENATETX-26.

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

Total volume

$19K

Outcomes

2

Highest price

Ken Paxton 58¢

Current share

40%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

52.1%

IY (No)

99.3%

Adj IY

98%

CRI

1

RV

87%

VR

1.21

Regime

neutral

Score

0.442

Observability

low

Event type

political

Full indicator table

52.1%
99.3%
Adj IY
98%
1
RV
87%
VR
1.21
IAR
0.3/h
LAS
0.02

Odds pages

Related prediction questions

Browse odds

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.

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.

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.

Opinionanalysis

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.

Blogtech

MCP Servers for Prediction Markets: Connect Claude Code to Kalshi and Polymarket

Connect Claude Code, Cursor, or Cline to Kalshi and Polymarket prediction markets via MCP. One-line setup, 18 tools, real-time market data for AI agents.

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.