SimpleFunctions

Susie Wiles · KXCABOUT-26MAY22

Susie Wiles is priced at 9¢ on Kalshi. Current book: 7¢ bid, 9¢ ask, 2¢ spread. This outcome ranks #4 of 16 inside KXCABOUT-26MAY22.

Price history

9¢ current

4¢
10¢
May 22, 2026May 25, 2026

Contract brief

If Susie Wiles is the first member of the Cabinet of Donald Trump to leave or announce they will leave (such as by quitting, being fired, or being impeached) after May 22, 2026, then the market resolves to Yes.

Outcome

Susie Wiles

Rank

#4 of 16

Leader

Howard Lutnick 32¢

Range

1¢-32¢

Family volume

$708

Identifier

KXCABOUT-26MAY22-SWIL

May 27, 2026, 10:08 PM UTC · 5m ago

Implied probability

9¢
Latest venue quote
May 27, 2026, 10:08 PM UTC · 5m ago

Bid

Ask

Spread

24h volume

$10

Family rank

#4 of 16

16 outcomes · KXCABOUT-26MAY22

Closes

Jan 20, 2029

Family volume

$708

Orderbook snapshot

7 / 9¢

Kalshi
2¢ spread
BidSize
7¢58
5¢125
4¢1
3¢850
2¢201
AskSize
9¢195
10¢100
11¢300
12¢500
13¢125

Contract terms

What resolves this market.

YES condition

If Susie Wiles is the first member of the Cabinet of Donald Trump to leave or announce they will leave (such as by quitting, being fired, or being impeached) after May 22, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Jan 20, 2029

Identifier

KXCABOUT-26MAY22-SWIL

SF Signal
SF Index
178.79
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

500.6%

IY (No)

2.8%

Adj IY

179%

CRI

13

Overround

-0.2%

LAS

0.29

Regime

neutral

Score

0.5

Full indicator table

500.6%
2.8%
Adj IY
179%
13
Overround
-0.2%
LAS
0.29

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.

Bloggeopolitics

US Oil Sanctions on Venezuela, Iran, and Russia in 2026: How Prediction Markets Are Pricing the Next Shock

A deep-dive into US oil sanctions on Venezuela, Iran, and Russia heading into 2026—covering Trump 2.0 policy, secondary sanctions, shadow fleets, global oil balances, European energy security, India/China behavior, and how prediction markets are pricing the next shock.

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.

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.

Blogpolitics

US Midterm Elections 2026 Prediction Markets: Trading the Battle for Congress

A deep‑dive guide for prediction market traders on the 2026 US midterm elections: House and Senate control odds, key races, Trump’s impact, economic and approval scenarios, polling accuracy, and data‑driven trading strategies.

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.