| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Target Price: $2,048.57 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks whether Ether (ETH) will reach the price target of $2,048.57 during a specific 15-minute measurement window. Short-window markets like this matter because they let traders express views on near-term volatility and liquidity events.
ETH is a globally traded, high-liquidity crypto asset whose intraday price can move rapidly in response to order flow, exchange activity, and news. Fifteen-minute target markets focus attention on very short-term price behavior and are sensitive to microstructure effects, exchange feeds, and concentrated orders. KALSHI administers the market and will publish the official settlement rules and timing.
Market odds reflect the evolving balance of buy and sell interest, aggregating traders' views and available information in real time. Treat them as a dynamic indicator of sentiment and risk exposure rather than a fixed forecast.
The platform will publish the precise start and end times for the 15-minute measurement on the event page or in the market rules; if not yet listed, those times will be announced before trading closes.
Settlement is based on the official price feed or index defined in the event's rule set—check the market rules on KALSHI for the exact exchange(s) or composite used to determine the observed price.
Whether a single tick counts depends on the platform's tick-resolution and settlement criteria; many events count any trade or quote that meets the threshold within the official window, but you should confirm the precise treatment in the event rules.
TBD means the trading cut-off time has not been set publicly; until the close time is posted, trading may remain open—monitor the event page for the announced close and avoid assuming a fixed deadline when planning orders.
Examine historical intraday 15-minute ranges and the frequency of short-duration price touches around similar targets on reputable exchanges; consider how past spikes were driven by news, liquidity gaps, or large orders to assess plausibility for this event.