| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Target Price: $2,045.39 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks whether Ether (ETH) will meet a $2,045.39 price condition during a specific 15‑minute measurement window. Short‑window price targets matter for traders focused on intraday moves, liquidation cascades, and arbitrage opportunities.
Ether is a highly liquid but volatile crypto asset whose intra‑day moves can be driven by on‑chain flows, macro news, and concentrated order flow on exchanges. A 15‑minute target isolates very short‑term dynamics and can be influenced by single large orders, exchange timing, and momentary liquidity imbalances. Because the event closes and settles according to the platform’s defined measurement and feed rules, historical hourly or daily context helps but does not fully predict 15‑minute outcomes.
Market odds on this event reflect the aggregated beliefs of traders about whether the settlement condition will be met during the specified 15‑minute window; interpret odds as a real‑time consensus signal of short‑term expectations rather than a deterministic forecast.
Settlement will use the specific price feed and exchange(s) documented on the event page on KALSHI; the market’s terms define the exact ticker(s), aggregation method, and timezone used for the 15‑minute measurement, so consult that settlement rule for the authoritative source.
Closing time is set by the event listing on KALSHI and typically occurs before the measurement window begins; because this event shows 'TBD', check the platform for the updated trade‑cutoff timestamp once it is published.
The precise win condition (touch, meet, exceed, or be the final price at a timestamp) is defined in the market’s settlement rules on KALSHI; review those terms to know whether the condition is based on high/low/last price or an aggregated value during the 15‑minute window.
KALSHI’s market rules specify contingency procedures for missing or anomalous data (e.g., fallback feeds, averaged windows, or postponed settlement); the event page and platform terms explain how such situations are resolved.
Treat odds as a live indicator of crowd expectations and liquidity; because the timeframe is very short and outcomes can be dominated by single events, use tight risk controls, smaller position sizes, and predefined exit rules to limit exposure to sudden spikes or flash crashes.