| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Target Price: $1.41530 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks whether XRP will reach the $1.41530 price point within a specified 15-minute interval. It matters to short-term traders and anyone tracking minute-scale crypto price action because short windows reward rapid information and liquidity-driven moves.
XRP is a liquid but often volatile cryptocurrency whose short-term moves respond to order-book dynamics, broader crypto market momentum, and regulatory or exchange-specific news. A 15-minute target is a very short horizon where intraday noise, algorithmic trading, and isolated large orders can dominate outcome risk.
Prediction market prices reflect the real-time consensus of participants about the likelihood of the event, moving as new information arrives or liquidity shifts. Treat those prices as a continuously updated market-implied view rather than a definitive forecast.
Resolution depends on whether the settlement rules define the target as a trade price touching or exceeding $1.41530 during the specified 15-minute window. Consult the market's settlement description for the exact definition (e.g., whether a single trade or a traded print at that level is sufficient).
The exchange operating the market defines the start and end times for the 15-minute interval. If the event page lists timing as TBD, check KALSHI's official market details or announcements for the scheduled window and the time zone used for settlement.
Settlement typically references a specified price source or index; that source is listed in the market's settlement rules. If no source is shown on the event page, contact KALSHI support or review their documentation to determine the data feed used.
Yes. In a 15-minute interval, a single large market order can create a brief price touch, and reporting anomalies can also affect settlement. Participants should review the settlement rules to see if any filters or averaging methods are applied to mitigate outliers.
Short-interval historical data (1–15 minute candles, frequency of touches near $1.41530, and typical spread/order-book snapshots) is informative for assessing how often that level is reached. However, 15-minute windows are noisy and past patterns are not guarantees, so combine historical context with live liquidity and news monitoring.