What hidden risks do beginners not know about in the prediction market? These 5 pitfalls could wipe out your principal.

By April 2026, the overall size of the global prediction market has become formidable. Just Polymarket alone has an annualized trading volume exceeding $100 billion, with a valuation of about $12 billion, and over 700k monthly active users. Meanwhile, as its strongest competitor, Kalshi’s trading volume for the year has reached $37 billion, capturing nearly 90% of the U.S. market share. In March alone, the total trading volume of Polymarket and Kalshi approached $23 billion. In April, Polymarket’s total value locked (TVL) climbed to $432 million, approaching the historical high during the 2024 U.S. presidential election. As everyone rushes into this space, those “hidden risks” that truly impact profitability have instead become the biggest blind spots in understanding.

Data sources in the physical world can be manipulated intentionally

Prediction markets are betting on “reality,” but what if “reality itself” is being tampered with?

Most newcomers obsess over the platform’s settlement rules but overlook a more fundamental issue—the data source. The platform’s smart contracts cannot perceive real-world weather conditions nor see who is at the press conference; they can only read data entered by off-chain oracles. As long as the data source can be influenced, it amounts to directly manipulating market prices.

The most typical example is the “hairdryer incident” that occurred in April 2026. At Paris Charles de Gaulle Airport, someone held a portable heat source aimed at a weather sensor, continuously heating it and causing temperature readings to spike by 4°C. This manipulation was repeated twice to influence the temperature prediction contracts on Polymarket, earning nearly $34k in low-cost profits with a hairdryer. Afterwards, Polymarket replaced the data source for that market, but this physical attack clearly revealed a fundamental flaw in the prediction market logic—“Trust reality, but better to trust your ability to influence reality.”

Additionally, heavy reliance on a “specific data platform” also carries risks. The 2024 U.S. government shutdown nearly caused arbitrage groups to lose on both sides—Polymarket’s standards depend on announcements from certain agencies, while Kalshi requires a “formal shutdown exceeding 24 hours.” The same event resulted in completely opposite outcomes on the two platforms.

Liquidity is not as abundant as you think

Prediction markets exhibit obvious cyclicality and a “settlement equals death” flaw. Once an event is settled, the liquidity of that contract drops to zero immediately, unlike perpetual contracts that can accumulate positions throughout the day. In less active mid-to-low category markets, market makers are inherently unstable. Due to the system’s requirement for full collateralization without leverage, market makers face a fate where 50% of their inventory assets are wiped out at settlement.

When you want to close a position or perform large arbitrage, this liquidity trap translates directly into extremely unfavorable slippage. The larger the capital, the higher the impact cost. Currently, the dispute rate in non-sports high-value markets on Polymarket is about 3.4%. With a flood of arbitrage bots, passive strategies are being squeezed out by more brutal price deviations. If you think you’ve found a risk-free arbitrage signal, it’s very likely just a trap for big players to offload their positions.

The “ultimate review day” of oracle mechanisms

Oracles are responsible for bringing real-world data onto the blockchain, but this task is also fraught with hidden dangers. Take the “U.S.-Ukraine mineral agreement signing” contract on Polymarket as an example: at that time, the agreement had not been signed, and no details were publicly available. However, several addresses with high voting power forcibly finalized the result as “signed” through the UMA oracle, disregarding the voices of regular users and the facts.

The voting power in “decentralized oracles” is not always held by the “majority of correct traders,” but by wealthy factions holding large governance tokens. When the oracle’s governance market value is less than the total value it locks, a single manipulation can become a rational investment return calculation. This directly leads to a hard rule—any market lacking collateral backing and relying solely on consensus voting ultimately has trust as its permanent boundary.

Regulatory tug-of-war could change at any moment

The relationship between large prediction platforms and government agencies is far more subtle than it appears.

In 2022, Polymarket was fined $1.4 million by the U.S. Commodity Futures Trading Commission (CFTC) for offering unregistered binary options trading to U.S. users, violating the Commodity Exchange Act, and was forced to block and completely isolate U.S. users. Although in July 2025, Polymarket spent about $112 million to acquire a licensed exchange, QCEX, and rebranded as Polymarket US, attempting to re-enter the U.S. market, and is seeking CFTC approval to lift the 2022 ban.

To this day, several U.S. states, as well as Hungary, Portugal, and Argentina, still classify Polymarket as an unlicensed gambling platform and block access. Regulatory directions are highly unpredictable. The current CFTC chair is the only sitting commissioner, with multiple seats still vacant, and compliance pathways remain highly uncertain. Unintentional cross-border use by users could, if scrutinized by regulators, lead to account suspensions or even asset freezes.

From binary hedging to leveraged liquidation

For a long time, prediction markets maintained high leverage on token prices and kept a certain distance. But on April 21, 2026, this gap was completely broken: Polymarket and Kalshi announced the launch of crypto perpetual futures within hours, offering up to 10x leverage on BTC and other cryptocurrencies.

This means that the future decline of prediction markets is no longer just “information gap losses,” but could involve forced liquidations. In the past 24 hours, the total crypto market liquidation exceeded $338 million, with longs accounting for about 78.5%. When high leverage is introduced into the long/short systems of prediction markets, even a small misjudgment of a low-probability event can lead to immediate destruction. The previously protective “loss of only principal” barrier is dissolving.

Summary

Prediction markets are at a strategic turning point from novelty entertainment to scaled financial instruments. However, for newcomers, beyond the apparent betting gains and losses, these hidden risks—such as data and physical manipulation, false liquidity, oracle failures, uncontrollable regulation, and the introduction of high leverage—are the deepest pitfalls that can swallow their capital and are often overlooked by retail traders. Before stepping onto this “intersection of reality and the crypto world,” you must not only understand probabilities but also peer into mechanisms that are entirely beyond the scope of “cognitive monetization.”