A Republican member of Congress is preparing to expand the scope of restrictions on legislative trading by explicitly targeting prediction markets—a move that signals growing regulatory attention toward platforms like Polymarket and Kalshi. Rep. Bryan Steil's proposed amendment would close what some lawmakers view as a loophole, ensuring that betting markets focused on political outcomes fall under the same prohibitions that already govern traditional equity purchases by members and their families.
The distinction matters because prediction markets occupy regulatory gray area. While the STOCK Act of 2012 already bars lawmakers from trading on non-public information obtained through their official duties, it was written before decentralized and blockchain-based forecast platforms became mainstream. Polymarket, built on Polygon, and Kalshi, a traditional derivatives platform, allow users to wager on everything from election results to legislative votes. The amendment would treat these instruments as restricted assets, preventing members from profiting on their inside knowledge of policy outcomes. This represents a practical recognition that information asymmetry extends beyond stock tickers—a lawmaker's certainty about a bill's passage carries the same insider advantage whether monetized through equities or prediction contracts.
The move reflects broader bipartisan frustration with congressional trading, though the prediction market angle adds a novel wrinkle. Previous stock ban proposals have focused on preventing members from trading securities while privy to advance information about government contracts, regulatory decisions, or economic data releases. But prediction markets make the insider advantage more explicit: a legislator who knows a spending bill will pass can directly bet that outcome without needing to identify which companies benefit. This directness may explain why the amendment has gained traction—it removes any pretense of separation between political knowledge and financial gain.
Whether such restrictions prove enforceable remains unclear. Prediction markets operate globally, with offshore platforms and decentralized protocols offering potential workarounds. Kalshi, however, maintains U.S. regulatory registration, making compliance more straightforward. The amendment also raises questions about how enforcement would function across jurisdictional boundaries and whether overseas accounts would require additional disclosure or prohibition. As Congress gradually awakens to the financial implications of decentralized prediction markets, expect further legislative attempts to align these platforms with traditional conflict-of-interest rules.