| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| above 49,074,968 Streams | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks whether measured weekly streaming views will move up or down for the subject defined on the KALSHI event page; it matters because week‑to‑week streaming momentum is a leading indicator of audience engagement and commercial performance in entertainment.
Weekly streaming totals are driven by release schedules, platform algorithm behavior, playlist placements, and promotional activity; markets like this aggregate trader expectations about those forces into a real‑time signal. Historical week‑over‑week swings often reflect seasonality (new releases, holidays) and headline events (viral moments, press), so context and timing matter when interpreting movements.
Odds on this market represent the market consensus about the direction of weekly streams and will move as new information arrives; treat them as a summary of collective expectation rather than a fixed forecast, and check the contract's resolution rules on the event page to understand what final settlement will use.
Outcome is determined according to the contract's resolution criteria published on the KALSHI event page; that page specifies the exact metric, reference data source, and comparison period used to decide if streams are up or down.
The market page contains the official definition of the weekly window and the close time; because the event shows 'Closes: TBD' you should monitor the KALSHI page for the announced close and any updates to the measurement window.
The specific platforms or aggregators used for resolution are listed in the event's rules on KALSHI; consult that resolution source to know whether the contract includes one platform, multiple services, or a third‑party analytics provider.
Immediate movers include surprise releases, major playlist placements, viral social posts, broadcast performances, high‑profile collaborations, or technical/platform changes that alter how streams are counted or recommended.
Use past week‑over‑week patterns to identify seasonality, baseline volatility, and typical reaction sizes to releases or promotion, but combine that with current calendar items and announced promotions because markets will already price widely anticipated events.