| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Target Price: $0.0926899 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market concerns whether Dogecoin (DOGE) will reach the $0.0926899 price level during a specific 15-minute observation window; short-interval markets like this highlight intraday price action and order-flow events that can move crypto prices rapidly.
Dogecoin is a high-volatility cryptocurrency whose short-term moves are often driven by liquidity swings, large trades, market microstructure, and social-media-driven attention. Intraday 15-minute targets capture momentary price excursions that longer-horizon analysis can miss; settlement and exact timing are governed by the platform's event rules on KALSHI.
Prediction market prices represent the crowd’s collective view about whether the stated condition will be met at settlement; they update in real time and are best read as a market-implied indicator of near-term expectations rather than a guarantee.
It means the outcome will be decided based on DOGE price behavior during a single 15-minute observation window specified by the market; the platform will define the exact start and end times used for settlement.
Settlement follows the platform's stated price-feed and timestamp rules: an authoritative exchange or aggregated feed is sampled over the 15-minute window per the event terms, and that sampled price determines whether the target condition was met.
Whether a momentary touch counts depends on the market's comparator (for example, whether settlement requires price to be at or above the target) and the data granularity of the chosen price feed; check the event's specific settlement rules for the precise criterion.
When a market shows 'TBD' the platform has not yet announced the exact trading window; KALSHI will publish the close/start time before trading or settlement begins, and you should monitor the event page or platform notifications for the official schedule.
Short-interval markets are sensitive to latency, execution costs, and sudden liquidity changes; traders should account for slippage, tight time horizons for monitoring, and that single large orders or feed anomalies can determine the outcome.