| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Target Price: $2,066.76 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks whether Ether (ETH) will hit the price target of $2,066.76 during a specific 15‑minute assessment window; short intraday target markets matter because they let traders express views on near‑term volatility and timing risk.
ETH is the native token of the Ethereum network and is subject to intraday price swings driven by on‑chain activity, exchange liquidity, derivatives flows, and macro news. Fifteen‑minute target markets focus on very short‑term execution and order‑flow dynamics that can be driven by large trades, liquidations, or sudden news, rather than longer‑term fundamental trends.
Market prices on this event reflect the collective view of whether that 15‑minute snapshot will include the target price; those prices update as new information and trades arrive and should be interpreted as a dynamic market consensus, not a fixed prediction.
The platform resolves this event by examining a continuous 15‑minute interval as defined in the event's rules; the exact start time and any scheduling details will be published on the event page or rulebook prior to resolution.
The authoritative price source is whatever exchange or aggregated feed is specified in the event's resolution rules; check the event details to see the designated ticker or index that will be used for final determination.
Adjudication follows the platform's contingency and dispute policies: organizers may use backup feeds, apply data‑quality filters, extend or re‑run the assessment window, or invoke their resolution procedures—refer to Kalshi's stated rules for specific remedies.
Whether a single print qualifies depends on the event's resolution language (for example, whether it requires a traded price, a quoted touch, or a sustained level); read the event's explicit criteria to determine whether a single trade suffices.
Study past intraday volatility around similar times, examine order‑book depth and typical spread behavior, and review how ETH reacted to comparable news events—short windows amplify execution and timing risk, so backtesting intraday scenarios and simulating order fills can improve judgment.