| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Target Price: $628.89 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks whether BNB will meet the $628.89 target during a specified 15-minute interval; it matters because short, time-limited targets test intraday price dynamics and liquidity. Traders use such contracts to express views on very short-term moves in BNB.
BNB (Binance Coin) is a major exchange token whose price is sensitive to exchange flows, on-chain activity, and announcements from Binance and ecosystem projects. Fifteen-minute resolution windows are much shorter than typical daily markets, so outcomes hinge on minute-to-minute order flow, news releases, and liquidity at the moment of settlement. The market source (KALSHI) will publish the precise settlement rules and time window for this contract.
Market odds reflect collective expectations about whether the contract's resolution condition will be satisfied during that 15-minute window; interpret them as the market's consensus sentiment about short-term price behavior, not long-term fundamentals.
Resolution is determined by the contract's definition on KALSHI: it will state whether the target must be touched, exceeded, or averaged during the specified 15-minute window and which price feed or exchange is authoritative.
The market will specify a precise start and end timestamp for the 15-minute window (typically in UTC) in the event details; currently the close time is listed as TBD, and the exact interval will be shown once set.
KALSHI will indicate the official price source or aggregator in the event rules; that source is what determines the settlement price rather than any single user's view.
Low liquidity makes prices easier to move, so a single large order or wash trade near settlement can create a transient spike that meets or misses the target; event rules and exchange safeguards determine which trades count and whether manipulative behavior is addressed.
Look at past intraday volatility, frequency of minute-scale spikes around news or token events, and how BNB has responded to similar-sized order flows — these patterns indicate whether rapid moves to a specific level have occurred historically.