⦿ Executive Snapshot

• What: The article compares two major prediction market platforms, Kalshi and Polymarket, highlighting their differences and strengths.
• Who: Key players are Kalshi, a federally regulated exchange, and Polymarket, a decentralized platform currently in beta under CFTC oversight.
• Why it matters: As both platforms operate under CFTC supervision, they mark a significant shift in the legal landscape of prediction markets in the U.S., impacting how traders engage with real-world events.

⦿ Key Developments

• Kalshi is fully rolled out across multiple platforms, while Polymarket's U.S. app is in a limited mobile beta.
• Kalshi was approved by the CFTC in 2020, while Polymarket secured CFTC approval for its U.S. app in late 2025.
• Kalshi offers a variety of categories including sports, politics, and economics, whereas Polymarket currently focuses solely on sports with plans to expand.

⦿ Strategic Context

• Kalshi, having launched in 2018, established itself as a federally regulated exchange early on, paving the way for its current operational status.
• Polymarket, launched in 2020, initially faced regulatory challenges but has since made strides to align with U.S. regulations, indicating a growing acceptance of decentralized platforms.

⦿ Strategic Implications

• The competition between Kalshi and Polymarket could drive innovation in prediction markets, influencing pricing models and market accessibility.
• Both platforms' adherence to CFTC regulations may enhance consumer trust and promote broader adoption of prediction markets in the U.S.

⦿ Risks & Constraints

• Polymarket's limited beta access could hinder its market penetration compared to Kalshi's established presence.
• Regulatory changes or enforcement actions could impact the operational capabilities of either platform moving forward.

⦿ Watchlist / Forward Signals

• Polymarket's expected expansion beyond sports and into other market categories will be a key indicator of its growth potential.
• Monitoring user adoption rates and trading volumes on both platforms will signal their competitive positioning in the prediction market space.