| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| 1,000,000 - 1,999,999 | 70% | 60¢ | 68¢ | — | $2K | Trade → |
| 2,000,000 - 2,999,999 | 32% | 3¢ | 43¢ | — | $777 | Trade → |
| 20,000,000 or above | 1% | 0¢ | 90¢ | — | $500 | Trade → |
| 3,000,000 - 3,999,999 | 1% | 1¢ | 48¢ | — | $65 | Trade → |
| 7,000,000 - 7,999,999 | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| 8,000,000 - 8,999,999 | 0% | 0¢ | 96¢ | — | $0 | Trade → |
| 13,000,000 - 13,999,999 | 0% | 0¢ | 96¢ | — | $0 | Trade → |
| 16,000,000 - 16,999,999 | 0% | 0¢ | 96¢ | — | $0 | Trade → |
| 18,000,000 - 18,999,999 | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| 11,000,000 - 11,999,999 | 0% | 0¢ | 96¢ | — | $0 | Trade → |
| 999,999 or below | 0% | 0¢ | 2¢ | — | $0 | Trade → |
| 17,000,000 - 17,999,999 | 0% | 0¢ | 96¢ | — | $0 | Trade → |
| 5,000,000 - 5,999,999 | 0% | 0¢ | 96¢ | — | $0 | Trade → |
| 4,000,000 - 4,999,999 | 0% | 0¢ | 96¢ | — | $0 | Trade → |
| 6,000,000 - 6,999,999 | 0% | 0¢ | 96¢ | — | $0 | Trade → |
| 19,000,000 - 19,999,999 | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| 10,000,000 - 10,999,999 | 0% | 0¢ | 96¢ | — | $0 | Trade → |
| 9,000,000 - 9,999,999 | 0% | 0¢ | 95¢ | — | $0 | Trade → |
| 14,000,000 - 14,999,999 | 0% | 0¢ | 96¢ | — | $0 | Trade → |
| 12,000,000 - 12,999,999 | 0% | 0¢ | 96¢ | — | $0 | Trade → |
| 15,000,000 - 15,999,999 | 0% | 0¢ | 1¢ | — | $0 | Trade → |
This market asks how many streams the top song on Spotify's Daily Top Songs USA will have on Mar 7, 2026; it matters because daily streaming totals summarize listener attention and reflect promotion, virality, and competing releases. Traders use this to express expectations about streaming demand on that specific date.
Spotify's Daily Top Songs charts rank tracks by reported daily streams in a specific territory; daily totals can swing sharply around major releases, playlist placements, viral moments, and calendar events. Kalshi hosts this event as a scalar-style categorical market with 21 discrete outcomes that map to stream-count ranges, and settlement will rely on the official data source specified in the contract.
Market prices represent the crowd's collective view about which stream-count range is most likely to contain the top song's daily total; they move as new information (releases, promotions, viral activity, platform updates) arrives and should be read as dynamic signals rather than fixed forecasts.
Settlement is based on the daily stream total used by the contract's official source — typically Spotify's reported Daily Top Songs USA or the specific dataset named on the Kalshi contract page; the winning outcome is the range that contains the top song's reported U.S. stream count for Mar 7, 2026.
The market's 21 mutually exclusive outcomes each correspond to a predefined stream-count range listed on the contract page; after the relevant data is published, the outcome whose range includes the top song's reported stream total is the winner.
Tie-resolution follows the settlement rules specified by the contract and Kalshi's official documentation; check the contract's settlement notes for the tie-handling procedure (common approaches include using the published ordering from the data source or the exact reported values to break ties).
The contract page lists the market close time (currently TBD) and the settlement timeline; generally, trading closes before the publisher's final daily totals are available, and settlement occurs after the official data for Mar 7, 2026 are published and validated per the contract's rules.
Look at recent daily stream trends for artists likely to top the U.S. chart, comparable daily totals around similar release cycles or events, playlist placement history, recent viral momentum on social platforms, and any scheduled promotional events or competing high-profile releases near Mar 7.