预测市场的内幕交易悖论:依赖与毁灭并存

The Insider Trading Paradox in Prediction Markets: Coexistence of Dependence and Destruction

BroadChainBroadChain04/27/2026, 10:50 AM
This content has been translated by AI
Summary

Prediction markets rely on insider trading to generate accurate prices, but this behavior continuous

BroadChain, April 27, 10:50 AM - A US special forces soldier used confidential information to profit $400,000 on Polymarket, becoming the latest scandal in the prediction market. BroadChain analysis suggests that this incident reveals a core contradiction in prediction markets: they rely on insider trading to generate accurate prices, but this behavior continuously erodes retail investor confidence, leading the market into a vicious cycle.

The US Department of Justice charged Special Forces Master Sergeant Gannon Ken Van Dyke with using confidential information to trade on Polymarket and profit $400,000 ahead of the Venezuela Maduro raid operation. Although some have called for leniency citing legal insider trading by members of Congress, Van Dyke's actions may have leaked operational details, raising serious ethical and legal concerns. Previously, Israel arrested two reserve soldiers who used military intelligence to trade on Polymarket.

The social value of prediction markets lies precisely in using economic incentives to induce insiders to disclose non-public information. Kalshi CEO Tarek Mansour once stated, "There is no insider trading in commodity markets; actually, it's all insider trading," while Polymarket CEO Shayne Coplan also acknowledged, "It's a good thing when people have market advantages." While this mechanism can generate more accurate signals than polls, in the long run, it weakens retail investors' willingness to participate.

Economist Robin Hanson pointed out that prediction markets require a large number of uninformed retail traders, whose participation creates incentives for insiders to disclose information. However, once retail investors realize they are always at an information disadvantage, they will choose to exit, leading to market liquidity drying up. This paradox determines whether prediction markets can survive in the long term.