SimpleFunctions
Winner-take-all · 10 outcomes10 contractsKalshirefreshed 4 min agoCloses May 7, 2026 · 4d43pp · 13h

How many initial jobless claims will there be the week ending Apr 18, 2026

Leader sits at 82% across 10 bound outcomes, runner-up at 81%. This is a winner-take-all market — the headline is the leader’s price, not an arithmetic mean.

Leader probability

82%

At least 180000

runner-up 81¢leader 82¢

Outcomes

10

winner-take-all

Runner-up

81¢

At least 165000

Spread

1pp

contested

24h volume

$744

thin orderbook

Closes

May 7, 2026

4 days

Venue

Kalshi

10 bound

30-day trend

0%50%100%-30d-3w-2w-1wtodayAt least 180000: 82% (4 days, 4 points)At least 180000: 82% on 2026-05-03At least 165000: 11% (4 days, 4 points)At least 165000: 11% on 2026-05-03At least 170000: 9% (4 days, 4 points)At least 170000: 9% on 2026-05-03
At least 18000082¢At least 16500011¢At least 1700009¢
Top 3 candidates by current price · 4d

Bracket family

How the bracket ladder is priced.

Each row is one outcome on the venue. Sorted by 24h volume — the heaviest book is at the top.

Analysis

This probability represents the chance that initial jobless claims for the week ending April 18, 2026 will fall within a specific range. The prediction reflects current labor market conditions and expectations about employment trends. Market participants are split on this outcome, with Kalshi traders pricing it 10 percentage points higher than Polymarket traders, suggesting some disagreement about baseline employment stability. The final claims number will be released by the Department of Labor on a scheduled date, providing the definitive resolution. Key factors driving this probability include recent monthly employment reports, broader economic growth trends, and seasonal adjustments that typically apply to weekly claims data. Any significant shift in business hiring patterns or economic shocks would alter the probability materially.

  • The actual weekly jobless claims figure released by the Department of Labor will determine the outcome; the data point has a precise, verifiable value
  • Seasonal adjustment patterns for mid-April historically show typical volatility ranges that frame baseline expectations
  • Recent monthly employment reports and hiring trends in the weeks prior would signal whether claims are likely to trend higher or lower than the baseline
  • The 10 percentage point gap between venues suggests material disagreement about which range is most likely, indicating genuine uncertainty among traders
  • Economic data releases between now and the official publication date could shift expectations about labor market conditions

What moved the line

  • May 2At least 17500060pp688¢ · Kalshi
  • May 2At least 17000058pp679¢ · Kalshi
  • May 2At least 16500053pp6411¢ · Kalshi
  • May 1At least 18500042pp4082¢ · Kalshi
  • May 1At least 18000040pp4989¢ · Kalshi

Recently closed in general

These markets stopped trading. Last odds and any captured outcome are shown above — full settlement detail lives at the venue.

More like this

Adjacent prediction questions.

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.

Last updated on this page: 4 min ago.