A surfing accident left Spencer Farrar stuck at home, where he and his brother immersed themselves in prediction markets. They experimented with different strategies, focusing on identifying mispriced underdogs and leveraging discrepancies between prediction market odds and Vegas lines. Their approach led to a remarkable 12x return in just ten days. However, as they traded, Farrar noticed significant flaws in the prediction market infrastructure, primarily a lack of liquidity that prevents these markets from functioning effectively. The article outlines critical hurdles facing prediction markets today. A thin market means trades don’t reflect true information, and major players avoid getting involved. Most liquidity is currently found in sports betting, thanks to a limited number of licenses. The article also highlights the adverse selection problem, where market makers become wary of insiders with privileged information, leading to wider spreads and decreased participation. Additionally, prediction markets typically require full collateralization, locking up capital and making it hard for traders to maneuver. Counterparty risk presents another challenge. Traders often prefer dealing with established banks over decentralized protocols because of the perceived legal security. For prediction markets to evolve, they need to merge the efficiency of blockchain with the reliability of traditional finance. Standardizing contracts, akin to the ISDA Master Agreement, could create a more robust trading environment. By focusing on standardized event contracts, prediction markets could transform significant political and economic events into tradable instruments. This shift would attract institutional investors and potentially elevate prediction markets to a substantial asset class, tapping into previously unrecognized corporate risk and liquidity.