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Chronicles

The story behind the story

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A look at prediction markets Kalshi and Polymarket; Kalshi has ~$1B in current monthly volume and processed $6.9B in total, including $6.4B since October 2024

Kalshi co-founders, Tarek Mansour and Luana Lopes Lara  —  The savviest billionaire traders are placing their bets on budding prediction marketplaces.

Forbes Alicia Park

Context & Ripple Effects

Kalshi’s trading activity provides an operating-data counterpart to its $185M funding round at a $2B valuation, while Polymarket remains the closest named rival in the coverage. The key signal is that most of Kalshi’s cumulative activity accrued in the period after October 2024, indicating a sharp recent acceleration rather than a long, steady build.

That acceleration matters because prediction markets depend on active participation to make contracts useful: deeper trading can improve the quality and availability of prices across more questions.

First-order effects

  • Kalshi gains a stronger liquidity and scale narrative for traders, market makers, and prospective investors, with roughly $1B in current monthly volume supporting its position against Polymarket.
  • The concentration of $6.4B of Kalshi’s $6.9B cumulative volume since October 2024 makes recent engagement—not merely historical registrations—the central metric for evaluating the platform.

Second-order effects

  • Polymarket and other prediction-market operators face greater pressure to concentrate liquidity, expand market selection, and demonstrate comparable active trading rather than rely on interest in the category.
  • Higher sustained volume can make it more practical for sophisticated participants to trade event contracts, reinforcing the subsequent expansion of Kalshi’s scale and geographic reach reported in later coverage.

Third-order effects

  • If volume remains concentrated in a small number of venues, prediction markets may evolve as liquidity-network businesses in which the leading platform’s depth attracts still more users and counterparties.
  • The category’s value proposition will increasingly rest on whether market prices become a trusted input for information and decision-making, not simply on the novelty of trading on events.

The trend: Prediction markets are shifting from a niche product toward liquidity-driven information platforms, with trading depth becoming the primary competitive moat.