| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Target Price: $70,233.34 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks whether Bitcoin (BTC) will reach the specific price target of $70,233.34 during a defined 15-minute window. It matters for traders focused on short-term volatility and for anyone tracking microstructure events that can produce rapid price moves.
Bitcoin is prone to intraday spikes and dips due to liquidity imbalances, large orders, and time-sensitive news; short-duration target markets are designed to capture those events. KALSHI will publish the precise start and end times and the resolution rules for this event; settlement depends on the named price feed and timestamping method rather than on longer-term trends.
Market odds represent the collective market view about whether the BTC price will meet the target within that 15-minute interval; they update in real time as new information and order flow arrive. Use odds as a snapshot of consensus confidence, not a guaranteed outcome.
KALSHI will specify the exact UTC start and end timestamps on the event page; trading typically closes before the interval begins according to the platform’s event rules so that the outcome can be observed and resolved against that defined window.
The event’s resolution rules name the specific price index or exchange feed KALSHI will use; that named feed — not every exchange — is the authoritative source for determining whether the target was reached.
Settlement relies on the resolution definition: typically the official feed must report a trade or quoted price at or beyond the target during the window. Check the event details for whether equality, rounding, or quote types (trade vs. bid/ask) are specified.
If the named settlement feed records the price at or past the target at any timestamp that falls inside the 15-minute interval, it generally counts; however, very brief touches are subject to the feed’s timestamp granularity and the platform’s stated resolution rules.
KALSHI’s contingency and force-majeure policies apply: they may use backup feeds, extend the observation window, postpone resolution, or void the event depending on the platform’s rules and the nature of the disruption; consult the platform’s official policy for specific procedures.