| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Target Price: $2,151.62 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks whether Ether (ETH) will trade at a specified price level within a single 15-minute interval; it matters because short-interval price targets capture intraday volatility and are useful for traders who want to hedge or speculate on brief moves.
ETH is a highly liquid, widely traded cryptocurrency whose short-term price is affected by macro news, on-chain activity, derivatives positioning, and exchange order flow. Events such as major protocol upgrades, regulatory announcements, macroeconomic releases, or large block trades can produce sharp 15-minute swings around the target price.
Market prices summarize participants' collective views about whether the specified 15-minute interval condition will be met; treat those prices as a real-time consensus signal that can change quickly with new information.
The platform defines discrete 15-minute windows (typically aligned to clock minutes) that are used for resolution; consult the event's contract terms on the Kalshi page to see the exact alignment (for example, which minute boundaries constitute each 15-minute interval).
Resolution depends on the market's designated price feed or consolidated exchange data as specified in the event rules; check the contract details to see which exchanges or oracles Kalshi uses for this market.
Whether an exact-equality tick counts depends on the event's outcome language and resolution policy; some contracts require the price to be traded at or above a level, others require a trade at that exact price—refer to the event's official resolution criteria.
TBD indicates the platform has not set a fixed close time or will announce it later; monitor the market page and official Kalshi communications for the formal close and settlement schedule, and be aware that open time affects liquidity and trading opportunities.
Look at historical intraday tick or 1-minute data to measure past frequency of similar-sized 15-minute moves, analyze time-of-day patterns, volatility clustering around news events or expiries, and examine on-chain and derivatives flows that have previously coincided with sharp short-term moves.