Spotify Removes No. 1 Song After Suspicious Kalshi Betting Activity

Spotify Technology S.A. (NYSE:SPOT) is the world's largest audio streaming platform, and the company found itself at the center of an unusual controversy this week after pulling a chart topping track it believes was propped up by manipulated streams tied to activity on the prediction market Kalshi.

The song in question, "Earrings" by musician Malcolm Todd, jumped 70% in plays overnight Sunday and briefly claimed the top spot on Spotify's U.S. streaming chart. Spotify removed the streams on Wednesday, saying it did not believe they came from genuine listeners and that it would not pay out associated royalties. A Kalshi spokesperson said the company is in contact with Spotify and reviewing the episode. None of this changed the market's read on the stock: shares closed at 485.97 dollars, up 2.86% on the day, giving Spotify a market capitalization of 99.93 billion dollars.

The streaming manipulation flap is a reputational sideshow rather than a financial one, but it lands at a moment when Spotify's valuation leaves little room for missteps in trust or platform integrity. Investors have bid the stock up sharply over the past year, and the trading tape reflects a name priced for continued execution, not controversy.

Spotify valuation, momentum and yield

At 485.97 dollars, Spotify trades within striking distance of its 52 week high of 541.99 and well above its 411.24 low, a range that itself spans nearly 32%. The stock's relative strength index sits at 55.74, a neutral to mildly bullish reading that suggests neither exhaustion nor oversold conditions after the day's 2.86% advance. Momentum traders will note the RSI leaves headroom before the stock approaches classically overbought territory near 70.

Spotify does not pay a dividend, so income minded investors have no yield to weigh here, only capital appreciation potential and the multiple the market assigns to that growth. The company's P/E ratio and EPS were not disclosed in the dataset accompanying this report, but a market cap approaching 100 billion dollars on a business still refining its profitability profile implies investors are underwriting continued margin expansion in podcasting, advertising and audiobooks alongside the core subscription engine.

The bull case rests on Spotify's scale: hundreds of millions of monthly active users, pricing power demonstrated through recent subscription increases, and a widening moat in music discovery and playlisting that keeps listeners inside its ecosystem. The bear case centers on exactly the kind of episode that surfaced this week. If prediction markets and streaming manipulation schemes become intertwined, regulators and advertisers may demand costlier verification systems, and any erosion of confidence in Spotify's chart integrity could dent its credibility with artists, labels and listeners alike.

Prediction markets and the manipulation question

The Malcolm Todd episode is not an isolated data point for prediction markets. In January, a well timed bet on the capture of Venezuelan leader Nicolás Maduro drew scrutiny after a U.S. special forces soldier involved in the operation was later charged with using classified information to place that wager, a charge to which he has pleaded not guilty. The Commodity Futures Trading Commission regulates these markets, which have attracted billions in venture capital funding even as questions mount over whether platforms like Kalshi and Polymarket can police insider knowledge or coordinated manipulation.

What Spotify's response signals

Spotify's statement framed the removal as routine enforcement, noting that stream manipulation is a persistent, evolving problem across the industry and that its detection systems are built for exactly this scenario. That posture matters for a stock trading near record highs: the market is pricing Spotify as a platform capable of defending its own integrity without regulatory intervention. Whether Kalshi's investigation surfaces a coordinated betting scheme tied to the song's chart position will determine if this remains a footnote or becomes a case study cited the next time prediction markets and content platforms collide.