SimpleFunctions
kalshiOutcome slate14 markets

Brandon Stone leads at the end of Round 1

event base · KXDPWORLDTOURR1LEAD

By SimpleFunctions· Last verified 13 Aug 2026Methodology
24h volume
$13.7K
Constituents
14
Distinct tenors
1
Top P(YES)
3.0%
Matt Wallace

Outcome probabilities

14 contracts at one resolution date

Analysis

The yield curve presents a flat structure across all 65 constituent markets, with every market sharing a uniform 17-day tenor. Within this single tenor bucket, YES probabilities cluster tightly around 1.0% to 2.0%, with only three outliers: RNEE trades at 15.0%, while CCHA, ELOP, and NNRG each trade at 3.0%. The overwhelming majority of markets—approximately 50 of 65—price YES at exactly 1.0%, establishing this as the modal probability across the event family. The cheapest YES probabilities are concentrated at 1.0%, representing the baseline market consensus, while the highest-probability markets (RNEE at 15.0%) command significantly elevated prices relative to peers. Volume distribution is highly uneven, with LBJE, GDEL, OGUI, and RHOJ each exceeding $7,000 in 24-hour volume, while many markets show minimal trading activity below $100. The flat curve structure and compressed probability range indicate the market views this event as highly unlikely to occur within the 17-day window, with minimal differentiation in timing expectations across outcomes. The market is essentially pricing a near-zero baseline probability (~1%) for most scenarios, suggesting either a low-probability event or one with resolution mechanics that make near-term occurrence improbable. The concentration of volume in specific markets—particularly LBJE, GDEL, OGUI, and RHOJ—suggests informed traders are selectively positioning in certain outcomes rather than broadly hedging across the family. The absence of any longer-dated tenor markets means the curve provides no information about market expectations beyond 17 days, leaving the full probability distribution across extended timeframes op

Generated 8/13/2026 · anthropic/claude-haiku-4.5

Constituent markets

14 kalshi contracts

How to read this page

An outcome slate is a set of mutually-exclusive contracts that all settle on the same date. Their YES probabilities form a distribution over which outcome the market expects. Probabilities should roughly sum to 100% minus the venue’s overround.

Curve construction: each constituent contract is identified by its venue event_id (KXDPWORLDTOURR1LEAD on kalshi). Tenor is computed from the contract’s close_time minus snapshot time, rounded to days. We do not interpolate between tenors — every plotted point is a real, traded contract. Outcome-slate pages show price-as-probability for mutually-exclusive contracts; term-structure pages show price-as-probability vs days-to-resolution for the same underlying event.

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: Thu, 13 Aug 2026 06:22:32 GMT.