SimpleFunctions

Golden Dome · Will Trump say "

Golden Dome is priced at 7¢ on Kalshi. Current book: 6¢ bid, 7¢ ask, 1¢ spread. This outcome ranks #10 of 16 inside Will Trump say ".

Price history

7¢ current

0¢10¢
May 18, 2026May 24, 2026

Contract brief

If Golden Dome, or a plural or possessive form of Golden Dome, is stated by Donald Trump after May 18th at 8:00am ET and before May 25, 2026 at 12:00am ET, then the market resolves to Yes.

Outcome

Golden Dome

Rank

#10 of 16

Leader

TDS / Trump Derangement Syndrome 99¢

Range

1¢-99¢

Family volume

$761K

Identifier

KXTRUMPSAY-26MAY25-GOLD

May 24, 2026, 3:38 PM UTC · 24m ago

Implied probability

7¢
Latest venue quote
May 24, 2026, 3:38 PM UTC · 24m ago

Bid

Ask

Spread

24h volume

$10K

Family rank

#10 of 16

16 outcomes · Will Trump say "

Closes

May 25, 2026

Family volume

$761K

Orderbook snapshot

6 / 7¢

Kalshi
1¢ spread
BidSize
6¢41
5¢151
4¢98
3¢341
2¢850
AskSize
7¢237
8¢133
9¢9
10¢100
14¢117

Contract terms

What resolves this market.

YES condition

If Golden Dome, or a plural or possessive form of Golden Dome, is stated by Donald Trump after May 18th at 8:00am ET and before May 25, 2026 at 12:00am ET, then the market resolves to Yes.

Venue

Kalshi

Closes

May 25, 2026

Identifier

KXTRUMPSAY-26MAY25-GOLD

SF Signal
SF Index
41875.00
Regime
neutral

Cross-venue match

Similar contract on polymarket at 20¢, -13¢ versus this page.

View counterpart

Indicators

Yield, cliff risk, volatility, and regime.

CRI

12

VR

0.20

IAR

0.9/h

Overround

0.1%

LAS

0.38

Regime

neutral

Score

0.5

Full indicator table

12
VR
0.20
IAR
0.9/h
Overround
0.1%
LAS
0.38

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.

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.

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.

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.