The US Pentagon has prohibited military personnel from betting on Polymarket and Kalshi when using non-public information. The decision follows the indictment of a soldier accused of exploiting classified information to place wagers on prediction markets.
Polymarket and Kalshi are online platforms where users can trade on the possible outcome of future events, including elections, economic releases, and policy decisions. Because these markets can involve sensitive questions about government and national security, the new restriction highlights the risks of combining insider knowledge with speculative trading.
Why the Pentagon imposed the betting ban
According to the Pentagon’s directive, service members may not use non-public or classified information to wager on events covered by the two platforms. The order reportedly came after a soldier was indicted for allegedly using information obtained through military duties to influence bets on Polymarket and Kalshi.
The case raises a difficult question: when is information genuinely βnon-public,β and what responsibilities apply when it reaches an active prediction market? A schedule known only to a small group, for example, can still affect trading outcomes even if it has not been formally published.
The restriction is intended to protect military integrity, prevent classified information from entering public markets, and preserve confidence in government institutions. It also reflects broader scrutiny of prediction markets as they become more closely connected to politics, finance, and online betting.
What are Polymarket and Kalshi?
Prediction markets are platforms that turn expectations about future events into tradable contracts. If a participant believes a candidate will win an election, for instance, they can buy a contract linked to that outcome. Prices continuously reflect collective trading activity and the available information.
Polymarket operates primarily as a blockchain-based platform using cryptocurrency for settlement. Kalshi is a regulated event-contract exchange in the United States. Despite their different structures, both allow users to take positions on real-world developments.
These markets can be useful tools for aggregating information. If enough participants trade based on separate facts, the resulting price may offer a useful snapshot of collective expectations. Think of it as a digital market where the price moves as people update their forecasts.
The risks of insider trading in prediction markets
The central concern is insider trading: trading when someone possesses material, non-public information that could materially affect an outcome. The term normally appears in discussions of stocks, bonds, and equities, but it can also apply to event contracts.
Imagine a financial analyst who learns before the public that a company will miss earnings estimates. Buying an ordinary share after that information arrives could amount to unlawful insider trading. The same principle can be adapted to a prediction market: someone who knows an undisclosed policy decision, military operation, or economic announcement may gain an unfair advantage over other participants.
Unlike traditional shares, however, prediction-market contracts may receive less legal clarity about what counts as material non-public information. The Pentagon’s order therefore serves as an explicit warning to military personnel and provides a reference point for possible future oversight.
Why this matters for crypto regulation
Polymarket’s involvement places prediction markets squarely within the crypto regulatory debate. Supporters argue that blockchain-based markets provide transparent settlement, global access, and a more direct way to express an opinion. Critics counter that anonymous or pseudonymous activity can make enforcement harder and create risks resembling traditional gambling or securities trading.
As regulators examine these platforms, several questions are likely to dominate: Are their contracts securities, commodities, or gaming products? Should operators block users who trade from restricted jurisdictions? How should platforms identify and investigate misuse of privileged information?
For crypto users, the episode is also a reminder to separate personal trading from access to confidential information. Those who receive sensitive data at work should not use it to gain an advantage, whether the venue is a centralized exchange or a decentralized prediction market.
What military personnel should do
The practical rule is straightforward: information obtained through official duties must not be used for personal bets. Service members should review the Pentagon’s guidance, avoid trading on topics affected by classified or restricted knowledge, and report unclear situations to an appropriate authority.
For everyone else, the case demonstrates why due diligence matters when selecting a crypto platform. Users should confirm that a service is available in their country, understand its identity checks and withdrawal rules, and use a reputable wallet or exchange. A hardware wallet such as Ledger can help keep crypto assets protected, while established venues such as Kraken provide a regulated access point for buying digital assets. European users may also compare options through Bitvavo.
What happens next?
It remains unclear whether the Pentagon’s policy will lead to broader restrictions on prediction-market participation or more formal rules from federal regulators. The indictment may also produce additional evidence about how sensitive information moved from military environments to trading platforms.
The key takeaway is clear: prediction markets may look like entertainment, but they are financial venues where information has value. The Pentagon’s ban confirms that military personnel cannot treat non-public knowledge as a personal trading advantage.
