Can the prediction market assess the situation of the US-Iran conflict? The latest interpretation as of May 2026

Since December 2025, Polymarket has launched dozens of prediction markets related to the Iran conflict, covering key topics such as timing of military strikes, the probability of ceasefire agreements, and the blockade of the Strait of Hormuz. These markets use price signals to reflect the collective judgment of market participants on event trajectories in real time, with pricing speeds far ahead of traditional news media reporting processes.

Behind $855k Bets: How Prediction Markets Price U.S.-Iran Conflict in Advance

Since the outbreak of the U.S.-Iran conflict in late February 2026, it has become one of the largest geopolitical events by trading volume in the history of prediction markets worldwide. As of April 2026, the total trading volume of contracts related to the timing of U.S. military action against Iran on Polymarket has exceeded $529 million, rivaling the betting scale of the 2024 U.S. presidential election. Between February 28 and April 30, over $300 million in trading volume was generated around the U.S.-Iran conflict contracts, with the market experiencing multiple high-volatility nodes such as war initiation, Strait of Hormuz blockade, ceasefire announcements, and ceasefire breaches. Each major event was accompanied by sharp re-pricing of contract prices.

What is even more astonishing is the “forward pricing” ability demonstrated by these markets. Within 24 hours before the airstrike on February 28, over 150 accounts placed hundreds of single bets of at least $1,000, betting that U.S. forces would strike the next day, totaling about $855k. At least 16 accounts profited over $100k by betting on “attack on the 28th.” Notably, six newly created accounts on February 2 placed concentrated bets hours before the attack, collectively earning about $1.2 million.

These extreme “precise” betting patterns have sparked strong suspicions of insider trading, but they also reveal a key fact: some market participants possess information that is far more timely and comprehensive than public news reports. While most investors wait for mainstream media confirmation, prediction market price signals have already re-priced the probability of the event.

Prediction markets also showed remarkable sensitivity in forecasting ceasefire events. On April 7, Trump announced a ceasefire on Truth Social. Prior to that, a trader named Fernandoinfante bought 477,543 “Yes” contracts at an average price of 2.8 cents, costing $13,200. On the day of the ceasefire announcement, the contract price surged to nearly $1, with a single trade yielding a return of 3,503%, earning $450k.

It is noteworthy that this large bet occurred about 48 hours before the ceasefire was announced. At that time, the publicly available information was not optimistic: Iran had just rejected a ceasefire draft mediated by Pakistan and proposed countermeasures, Trump was still threatening to expand strikes on power and bridge targets on social media, and there was no mainstream media report indicating an imminent ceasefire.

On the same timeline, another case is equally intriguing. In mid-April 2026, multiple media outlets reported signs of new U.S.-Iran contacts: two suspected U.S. C-17 transport aircraft were reported to have landed at Nurnhans Air Force Base in Pakistan, and Islamabad’s “Red Zone” was briefly sealed off for security. Meanwhile, within the same time window, trading contracts on “U.S.-Iran next diplomatic meeting” on Polymarket surged in popularity, with the probability of a meeting pushed to 52% before April 22, and further bets raising it to 73% before April 30. Even without official confirmation, the price signals conveyed a clear market expectation that negotiations might restart.

Core Logic of Prediction Markets: From “Opinions” to “Tradeable Assets”

To understand why prediction markets can reflect shifts in the situation faster than traditional media, it’s essential to clarify their underlying pricing mechanism.

Decentralized prediction markets like Polymarket essentially convert “opinions” into tradable “assets” through financialized pricing systems. For example, in a typical binary market (e.g., “Will the U.S. launch a military strike on Iran before June 30?”), smart contracts generate corresponding “Yes” and “No” shares. These shares can be freely bought and sold on the secondary market, with prices fluctuating between $0 and $1, directly representing the implied probability of the event occurring. For instance, a “Yes” share priced at $0.65 indicates a 65% implied probability that the event will happen.

Profit for users comes from two sources: one, buying low and selling high before the event result is revealed; two, holding until settlement, where correct predictions can be redeemed at $1 per share. The entire process is automated by smart contracts, eliminating the need for trust in intermediaries. The core advantage of this mechanism is that it aggregates dispersed private information into a unified price signal through capital betting, theoretically achieving higher information aggregation efficiency than traditional polls and expert forecasts.

However, this efficient operation relies on a critical assumption: that market participants have symmetric information. Once insiders leverage their informational advantage to pre-position, the price signals can be distorted.

Prediction Markets Are Not Perfect: Failures and Structural Controversies

Despite their impressive “prophet” capabilities at various nodes, prediction markets are not infallible crystal balls. They are also riddled with directional misjudgments and structural pricing biases.

In the same series of contracts related to the U.S.-Iran conflict, Polymarket only assigned an 11% probability that the Strait of Hormuz would reopen before April 30, and the probability of normalcy by the end of May was only 33%. These less liquid niche markets involve participants with varying levels of expertise, and contract design is limited by vague definitions and settlement disputes.

Deeper still, prediction markets do not always represent “group wisdom.” On-chain data analysis shows that only 2% of users on Polymarket, high-frequency professional traders, generate nearly 90% of the trading volume, while 69% of low-activity retail traders average fewer than 10 trades. This means that market prices largely reflect the judgments of a small minority of professional traders, not a truly “broad and dispersed” collective intelligence. When these 2% of traders hold informational advantages, the reliability of prices can be significantly compromised.

Furthermore, as prediction markets grow explosively, regulatory and ethical issues are increasingly prominent. Reuters reports that contracts related solely to the timing of Iran attacks attracted about $529 million in bets. Such a massive amount of capital, combined with Israel’s intensified warning signals and CNN’s disclosures of “action plans ready,” fuels ongoing controversy over “insider trading.” U.S. lawmakers are drafting legislation, and the CFTC has announced plans to introduce new regulations, indicating that prediction markets are gradually moving from niche experiments in crypto to being scrutinized within mainstream finance and legal frameworks.

Rational Framework for Using Prediction Markets: Gate’s One-Stop Entry Solution

Given the high uncertainty of the U.S.-Iran conflict, how should investors rationally use prediction markets to avoid becoming irrational gamblers betting blindly? The following framework is recommended:

Information Feedback Loop. The best use of prediction markets is to cross-validate your macro judgments with existing market prices, rather than treating contract prices as absolute “probabilities.” When your judgment significantly diverges from market prices, first ask yourself, “Does the market have information I don’t know?” rather than immediately assuming “the market is wrong.”

Position Management Discipline. Prediction markets are deeply interconnected with other trading instruments like contracts and spot assets. For example, escalation of the U.S.-Iran conflict often coincides with soaring oil prices, gold, and Bitcoin volatility. In April 2026, Brent crude futures averaged over $100, and gold and Bitcoin also showed correlated movements. Investors can use probability signals from prediction markets as auxiliary references for asset allocation decisions, rather than participating in event contracts in isolation.

Leveraging Gate to Enhance Participation. For users wishing to participate in prediction markets and leverage event contracts to grasp geopolitical pricing opportunities, ease of operation is a crucial barrier. Gate, as the world’s first centralized exchange (CEX) directly integrated with Polymarket, significantly lowers the entry threshold. Users can directly trade various event contracts on Polymarket via the Gate App (version 8.13.0 and above), without needing to register separate wallets, manage private keys, or worry about Gas fees. The platform continuously enhances features like hot topic discovery, intelligent recommendations, and position management, helping users quickly access high-activity markets and seize trading opportunities amid rapidly changing geopolitical events. According to a recent report from Gate Research Institute published on May 13, 2026, the monthly nominal trading volume of prediction markets has exceeded $20 billion for four consecutive months, with prediction markets forming deep links with spot and futures markets, becoming an important bridge connecting crypto and the real world.

Summary

Returning to the initial question—can prediction markets be used to assess the situation of the U.S.-Iran conflict? The answer is yes, but with caution.

Prediction markets have demonstrated faster pricing than traditional news channels at multiple key nodes: from the February 28 airstrike, to the April 7 ceasefire announcement, and early signals of negotiation restart. In all cases, price signals have led actual events, showing that prediction markets are becoming a “digital barometer” in geopolitical games, with information aggregation efficiency reaching a professional level capable of influencing investor judgment.

However, prediction markets are not foolproof. They are more like amplified arenas of information asymmetry—where differences in capital size, information channels, and trading strategies are sharply magnified. 2% of professional traders contribute 90% of trading volume, meaning retail participants often blindly follow without deep research, risking becoming passive buyers with informational disadvantages. Moreover, insider trading suspicions persist, and regulatory storms are brewing, all of which mean that price signals from prediction markets must be interpreted within a rational investment framework.

For ordinary crypto users, Gate’s integration with Polymarket offers an efficient, convenient entry point. But what is truly valuable is not mechanically following price signals to buy or sell shares, but cultivating the habit of “using market prices to validate personal judgments”—a survival skill every investor must master in an era of high geopolitical uncertainty.