| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Price to beat: $2,130.18 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks whether the price of Ether (ETH) will be higher or lower after a defined 15-minute interval; it matters because very short-term markets capture immediate sentiment and liquidity dynamics that affect traders and market-makers.
Ethereum is a highly liquid, actively traded crypto asset that regularly sees rapid price moves on news, order flow, and automated strategies. Short-duration markets like a 15-minute window emphasize microstructure factors—order book depth, block-related events, sudden news, and algorithmic trading—rather than longer-term fundamentals.
Odds in this market summarize what participants collectively expect for the 15-minute outcome given available information and risk preferences; they move as new order flow and information arrive but do not guarantee the result.
Resolution is based on the event's published settlement rule: it compares ETH's reference price at the defined start time with the price at the 15-minute mark as specified by the platform; consult the event's rule page for the exact data source and price definition used for settlement.
The interval begins at the start time shown on the event page (or when the market states it opens) and resolves 15 minutes after that start; the platform's event details list the official start and resolution timestamps.
The event's official rules specify the reference data source(s) and exchange(s) used for settlement; always check the KALSHI event details to see which aggregate or exchange tick is authoritative for this market.
Yes — because the horizon is very short, one or a few large trades or forced liquidations can move the observed price enough to change the outcome, especially in low-liquidity conditions or if price feeds are sensitive.
Treat it as a high-frequency directional bet: manage risk tightly, account for slippage and fees, prefer limit orders where appropriate, monitor order books and news closely during the interval, and avoid using long-term fundamental analysis as the primary decision input.