SimpleFunctions

Before Jul 2026 · Will any member of Trump's Cabinet leave before

Before Jul 2026 is priced at 24¢ on Kalshi. Current book: 24¢ bid, 25¢ ask, 1¢ spread. This outcome ranks #7 of 8 inside Will any member of Trump's Cabinet leave before.

Price history

24¢ current

+7¢
20¢
May 22, 2026May 24, 2026

Contract brief

If any member of Trump's Cabinet leaves their office, or announces they will leave their office, from May 22, 2026 at 2pm EDT to Jul 1, 2026, then the market resolves to Yes.

Outcome

Before Jul 2026

Rank

#7 of 8

Leader

Before Jan 2027 78¢

Range

12¢-78¢

Family volume

$539

Identifier

KXCABLEAVE-26MAY22-26JUL

May 25, 2026, 9:08 PM UTC · 15m ago

Implied probability

24¢
Latest venue quote
May 25, 2026, 9:08 PM UTC · 15m ago

Bid

24¢

Ask

25¢

Spread

Reported volume

$107

Family rank

#7 of 8

8 outcomes · Will any member of Trump's Cabinet leave before

Closes

Jul 2, 2026

Family volume

$539

Orderbook snapshot

24 / 25¢

Kalshi
1¢ spread
BidSize
24¢30
23¢5
22¢10
17¢159
15¢250
AskSize
25¢125
26¢250
32¢95
81¢200
82¢1.2K

Contract terms

What resolves this market.

YES condition

If any member of Trump's Cabinet leaves their office, or announces they will leave their office, from May 22, 2026 at 2pm EDT to Jul 1, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Jul 2, 2026

Identifier

KXCABLEAVE-26MAY22-26JUL

SF Signal
SF Index
1550.00
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

3100.0%

IY (No)

309.1%

Adj IY

1550%

CRI

3

Overround

2.6%

Regime

neutral

Score

0.5

Full indicator table

3100.0%
309.1%
Adj IY
1550%
3
Overround
2.6%

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.

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.

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.