| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Target Price: $2,064.52 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks whether Ether (ETH) will meet a $2,064.52 price target within a specified 15-minute observation window. Short-window target markets matter because they isolate intraday volatility and trader expectations around very specific timeframes.
ETH is an actively traded crypto asset with frequent intraday price swings driven by macro news, on-chain flows, derivatives activity, and liquidity events. Markets like this are used by traders to express views on near-term moves; resolution mechanics and the exact observation timing are determined by the event host (KALSHI).
Prices or odds on this market reflect the collective view of traders about whether ETH will meet the stated target during the 15-minute window and update as new information arrives. Treat those market prices as a real-time gauge of sentiment, remembering the underlying target and measurement rules determine final resolution.
The precise start and end timestamps (and timezone) used to evaluate whether ETH hits the target are set by the event host; consult the event details on KALSHI for the official window definition and any clarifying rules.
Resolution depends on the event description: typically it requires ETH's official spot price, as defined by KALSHI's rules, to meet or exceed (or otherwise satisfy) the stated $2,064.52 condition at some point or on average during the 15-minute window — check the event page for the exact success criterion.
KALSHI publishes its resolution methodology and the authoritative price feeds or exchange aggregations it uses; review the event page or KALSHI's resolution policy to see the specific source(s) used for this market.
Events like outages or data feed failures are governed by KALSHI's dispute and resolution rules; in such cases the host may use back-up feeds, extend the evaluation window, or apply predefined fallback procedures — check KALSHI's terms for procedural details.
Review minute-level historical price data around comparable volatility regimes and prior news events to see how often ETH crossed similar levels within 15-minute spans; intraday crossings are more likely during high volatility, major news releases, or periods of thin liquidity.