| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Target Price: $2,158.20 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks whether Ether (ETH) will reach the $2,158.20 price target within a specified 15-minute measurement window. Short intraday target markets matter because they capture immediate volatility and can be used for short-term hedging or speculation.
Ether’s price in any 15-minute window is driven by order flow across exchanges, derivatives activity, and short‑term news or on‑chain events. Markets with very short measurement windows tend to be noisier than longer-term questions, so outcomes depend heavily on timing, the official price feed used for settlement, and transient liquidity conditions.
Market prices act as a real‑time aggregation of trader expectations that the target will be met during the specified 15-minute window; interpret them qualitatively as the market consensus at a given moment, not as a fixed forecast.
It means the event will be evaluated over a specific 15‑minute measurement window to determine whether Ether’s price meets the $2,158.20 threshold according to the market’s settlement rules; consult the event page for the exact wording and data source.
The precise start and end timestamps (including time zone and whether boundaries are inclusive) are specified on the Kalshi event page and in the market’s settlement rules; traders should check that page for the authoritative definition.
The event’s settlement section lists the official reference (for example, a consolidated index or a specific exchange tick); verify that information on the Kalshi event page to know which data source determines the outcome.
Settlement rules explain whether boundary moments are treated as hits or misses (inclusive vs. exclusive); check the event’s detailed rules on Kalshi or contact support for clarification if the language is ambiguous.
Look at historical intraday volatility, frequency of similar 15‑minute moves, order book depth near the target, and the timing of news or scheduled events; because short windows are dominated by noise and liquidity, also consider scenario planning and position sizing rather than relying solely on historical frequency.