TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 27, 11:59 PM EST
Kalshi
One of several specific songs will rank as the #1 track on Spotify's USA daily chart on May 27, 2026.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the top USA Spotify song market is priced as a set of binary or categorical contracts representing each candidate track. Traders buy and sell shares reflecting their belief in whether a given song will hold the number-one position on the specified date. Prices range from near-zero to near-100 cents per share, with the sum of all outcome prices equaling one dollar. Higher prices indicate stronger market consensus that a song will top the chart. Real-time order books and historical price charts allow traders to assess momentum and identify potential trading opportunities.
The market resolves on Jun 10, 2026, after Spotify publishes its official USA chart data for May 27, 2026. Resolution is determined by identifying which song holds the number-one position on Spotify's primary USA daily or weekly chart on that date. The outcome is objective and verifiable through Spotify's public chart rankings. All positions are settled based on the authoritative chart snapshot taken on the resolution date, ensuring a clear and definitive winner.
Major catalysts include new song releases from established artists, unexpected viral moments on social media, radio and streaming playlist placements, and chart performance of competing tracks leading up to May 27, 2026. Award show performances, celebrity endorsements, and streaming bundle promotions can rapidly shift listener behavior. Changes in artist momentum, collaborations, or cultural events tied to specific songs may also influence market odds. Real-time Spotify chart data, streaming numbers, and music industry news will drive trader sentiment and repricing throughout the prediction period.