SimpleFunctions

Paraguay · KXWCGROUPWIN-26D

Paraguay is priced at 19¢ on Kalshi. Current book: 16¢ bid, 19¢ ask, 3¢ spread. This outcome ranks #3 of 4 inside KXWCGROUPWIN-26D.

Price history

19¢ current

15¢20¢
May 23, 2026May 23, 2026

Contract brief

If Paraguay finish first in Group D in the 2026 FIFA World Cup, then the market resolves to Yes.

Outcome

Paraguay

Rank

#3 of 4

Leader

USA 40¢

Range

8¢-40¢

Family volume

$376

Identifier

KXWCGROUPWIN-26D-PAR

May 23, 2026, 8:08 PM UTC · 25m ago

Implied probability

19¢
Latest venue quote
May 23, 2026, 8:08 PM UTC · 25m ago

Bid

16¢

Ask

19¢

Spread

24h volume

$18

Family rank

#3 of 4

4 outcomes · KXWCGROUPWIN-26D

Closes

Jul 11, 2026

Family volume

$376

Orderbook snapshot

16 / 19¢

Kalshi
3¢ spread
BidSize
16¢11K
15¢3.0K
14¢2.0K
13¢2.0K
12¢2.0K
AskSize
19¢8.1K
20¢2.4K
22¢2.0K
23¢2.0K
24¢2.0K

Contract terms

What resolves this market.

YES condition

If Paraguay finish first in Group D in the 2026 FIFA World Cup, then the market resolves to Yes.

Venue

Kalshi

Closes

Jul 11, 2026

Identifier

KXWCGROUPWIN-26D-PAR

SF Signal
SF Index
1965.63
Regime
neutral

Event family

KXWCGROUPWIN-26D.

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

Total volume

$376

Outcomes

4

Highest price

USA 40¢

Current share

5%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

3931.3%

IY (No)

142.6%

Adj IY

1966%

CRI

5

Overround

-0.0%

Regime

neutral

Score

0.5

Full indicator table

3931.3%
142.6%
Adj IY
1966%
5
Overround
-0.0%

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

Information Finance Has Arrived: A Material Map of Prediction Markets in Q2 2026

Combined Kalshi + Polymarket volume hit $66B in just four months of 2026 — already greater than the entire 2025 industry total. Bernstein projects $1T by 2030. Two venues hold 95% of US share. The distribution layer fragmented across nine retail surfaces. AI agents are 30% of Polymarket wallet activ

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.