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: Jul 1, 11:59 PM EST
Kalshi
This event tracks which song will hold the #2 position on Spotify's Daily Top Songs USA chart on July 1, 2026. The resolution depends on real-time streaming data and listener engagement across the United States on that specific date.
The event resolves to Yes if any of the specified songs—Earrings, Choosin' Texas, stupid song, Janice STFU, the cure, Man I Need, Be Her, hate that i made you love me, drop dead, Cinderella (feat. Ty Dolla $ign), honeybee, Billie Jean, Mr. Brightside, Babydoll, or maggots for brains—achieves the #2 ranking on Spotify's Daily Top Songs USA chart for the chart dated July 1, 2026. Resolution is based on the official Spotify chart data for that specific date. Only one song can occupy the #2 position, so the market resolves to Yes if any single outcome song holds that rank, and No if none of them do. This market is not endorsed by Spotify and references to Spotify charts and streaming data are descriptive only, indicating no affiliation between this product and Spotify.
Prediction market odds on this market reflect real-money trader conviction and often diverge from traditional music industry analyst forecasts. While analysts may rely on chart history, radio airplay, and promotional cycles, traders incorporate streaming velocity, social media momentum, and emerging listener trends. Markets tend to update faster than periodic analyst reports, making them a dynamic alternative view. However, both sources carry uncertainty—streaming rankings depend on listener behavior in the months leading up to resolution, which neither analysts nor traders can predict with certainty. Comparing the two can reveal where consensus is strongest and where outlier bets suggest contrarian opportunity.
On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for each potential runner-up song outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform matches buy and sell orders continuously, and the last executed trade price becomes the live market quote. Each outcome's implied probability is derived from its current price relative to the full set of competing songs. Traders can enter limit orders to speculate on specific songs or use market orders for immediate execution. Kalshi's pricing reflects the collective assessment of all active participants, updated in real time as new information and trading activity emerge.
This market resolves around Jul 2, 2026, once Spotify's official streaming data for the United States on July 1, 2026 becomes available and verifiable. The outcome is determined by identifying which song holds the second-highest total streams in the country on that date, confirmed through credible public reporting of Spotify's charts. Resolution depends on Spotify publishing its rankings and the market administrator verifying the result against that official data. Traders should monitor Spotify's official announcements and chart releases in late June and early July 2026 to track which songs are positioned to finish as runner-up.
Major catalog releases, surprise hit singles, and viral moments can dramatically shift streaming patterns and alter runner-up positioning. Chart performance on competing platforms like Apple Music and YouTube Music often correlates with Spotify trends and may signal momentum shifts. Radio airplay, playlist placements on Spotify's editorial and algorithmic playlists, and celebrity endorsements can accelerate streaming growth. Award show performances, music video releases, and social media trends (TikTok, Instagram) frequently drive listener engagement. Additionally, seasonal listening patterns and listener fatigue with current chart leaders can elevate emerging tracks. Traders should track weekly Spotify chart updates, music news, and streaming analytics platforms to anticipate shifts in the runner-up race.