SimpleFunctions

Any part of the United States federal government take a stake of above 0% in GlobalFoundries

GlobalFoundries is priced at 70¢ on Kalshi. Current book: 68¢ bid, 74¢ ask, 6¢ spread. This outcome ranks #3 of 16 inside Will any part of the United States federal government take a stake of above 0%.

Price history

70¢ current

+53¢
0¢25¢50¢75¢100¢
May 6, 2026Jun 5, 2026

Contract brief

If any part of the United States federal government has taken a stake of GlobalFoundries before Jan 1, 2027, then the market resolves to Yes.

Outcome

GlobalFoundries

Rank

#3 of 16

Leader

D-Wave Quantum 80¢

Range

2¢-80¢

Family volume

$8K

Identifier

KXUSACOMPANYSTAKE-27JAN01-GFS

Jun 5, 2026, 7:38 PM UTC · 28m ago

Implied probability

70¢
Latest venue quote
Jun 5, 2026, 7:38 PM UTC · 28m ago

Bid

68¢

Ask

74¢

Spread

Reported volume

$20K

Family rank

#3 of 16

16 outcomes · Will any part of the United States federal government take a stake of above 0%

Closes

Jan 1, 2027

Family volume

$8K

Orderbook snapshot

68 / 74¢

Kalshi
6¢ spread
BidSize
68¢219
58¢200
31¢27
30¢200
14¢1.2K
AskSize
74¢5
75¢27
77¢231
95¢332
96¢33

Contract terms

What resolves this market.

YES condition

If any part of the United States federal government has taken a stake of GlobalFoundries before Jan 1, 2027, then the market resolves to Yes.

Venue

Kalshi

Closes

Jan 1, 2027

Identifier

KXUSACOMPANYSTAKE-27JAN01-GFS

SF Signal
SF Index
337.75
Regime
neutral

Cross-venue match

Similar contract on polymarket at 49¢, +21¢ versus this page.

View counterpart

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

82.0%

IY (No)

370.4%

Adj IY

338%

CRI

2

RV

80%

VR

0.91

Regime

neutral

Score

0.5

Full indicator table

82.0%
370.4%
Adj IY
338%
2
RV
80%
VR
0.91
IAR
0.3/h
Overround
5.4%
LAS
0.09

Odds pages

Related prediction questions

Browse odds

Related readings

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

Browse library
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.

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.

Blogmacro

US Recession 2025? What 1% Prediction Market Odds Get Right—and Wrong—About the Cycle

Prediction markets put 2025 US recession odds near 1%, while yield curves, economic indicators, and institutional forecasts point to much higher risk. This deep dive compares market pricing to historical base rates, Federal Reserve policy, and forecasting models to see if investors are underpricing recession risk.

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.