Between Bans and Surges: Global Prediction Markets Become the New Battleground for 'Institutional-Grade Information Warfare'

marsbitPublicado a 2026-01-21Actualizado a 2026-01-21

Resumen

Between Ban and Boom: Global Prediction Markets Emerge as a New Battleground for "Institutional-Grade Information Warfare" Prediction markets, once a niche domain, are now breaking into mainstream finance. Hedge funds and crypto whales are increasingly monitoring platforms like Polymarket and Kalshi alongside traditional indices. These markets, which allow users to bet on event outcomes, saw a single-day trading volume exceeding $700 million, signaling a transformation into a significant, institution-grade sector. The core driver is the demand to price and hedge against macro uncertainty—such as election results or geopolitical conflicts—where traditional derivatives fall short. This institutional adoption is underscored by Polymarket's data partnership with Dow Jones, integrating its odds into terminals like The Wall Street Journal. However, rapid growth has triggered a global regulatory crackdown. European nations, including Hungary and Portugal, have banned Polymarket for operating as an unlicensed gambling site. Even in the U.S., Kalshi faces state-level restrictions. A highly suspicious trade—turning $32 into $400k by accurately predicting the ousting of Venezuela's president—highlighted risks of insider trading and political sensitivity, intensifying regulatory scrutiny. The central conflict is a fundamental legal classification: are these markets financial instruments for information aggregation or simply a new form of gambling? This dichotomy is creating a fragmen...

Author: Conflux

Today, on the trading screens of global macro hedge funds and on-chain crypto whales, two markets might be displayed side by side: one is the S&P 500 index futures, and the other is the real-time odds for "Who will be the next Fed Chair" on Polymarket/Kalshi. The dimensional wall of the financial world is being completely shattered by prediction markets.

Prediction markets, a field long operating on the fringes of finance and gambling, are being pulled onto the capital table. On one side, there is a frenzy of Wall Street and crypto capital pouring in, driving its daily trading volume to break through the $700 million level; on the other side, regulatory agencies in various countries have launched intensive crackdowns and blockades within a month.

A silent war over "information pricing power" is fiercely unfolding against the backdrop of an era叠加 with geopolitical and macro uncertainties.

From Niche Gambling to "Institutional-Grade Pricing Tool"

From 2025 to early 2026, the market size of prediction markets showed exponential expansion. Data shows that on January 12, 2026 alone, the global daily trading volume of major prediction market platforms reached approximately $701.7 million.

Among them, the US-compliant platform Kalshi contributed about two-thirds of the share, while the decentralized platform Polymarket占据了 the main part of the remainder. This marks the transformation of prediction markets from a marginalized narrative to an institutional-grade赛道 with significant liquidity.

The driving force behind this is clear and direct: the higher the macro uncertainty, the more valuable the demand for pricing and risk management of "event outcomes" becomes. Traditional financial derivatives struggle to cover "non-standard events" such as US election results, the timing of specific policy introductions, or the outbreak of local military conflicts, and prediction markets恰好 fill this gap.

Among these, the shift in institutional view is particularly crucial—Polymarket has reached a data cooperation agreement with Dow Jones & Company, and its market data is directly integrated into top financial information terminals like The Wall Street Journal,这意味着 prediction markets are becoming a formal decision-making reference for Wall Street traders and analysts. For crypto capital, prediction market contracts have become a new narrative engine for hedging macro risks and direct speculation.

Regulatory High Voltage: Global "Crackdown" Actions

Synchronized with the market heat is the vigilance and high pressure from global regulators. Over the past month, blockade actions against prediction markets (especially Polymarket) have集中爆发 in many places, forming a clear regulatory阻击带:

Europe becomes the blockade center: Regulatory agencies in Hungary, Portugal, Ukraine, and other countries have recently taken action相继, ordering the blocking of the Polymarket website or requiring its orderly exit on the grounds of "unlicensed gambling/illegal betting." Countries like France, Switzerland, and Poland had also taken similar measures earlier.
Precise拆分 of US regulation: Even in the relatively open US, the platform Kalshi has faced challenges. Just yesterday, a Massachusetts court issued a preliminary injunction, prohibiting Kalshi from offering sports betting-like prediction contracts in the state, highlighting that even under the federal framework, state-level regulation of specific categories can impose additional restrictions.
Insider trading triggers political sensitivity: Earlier this month, an extreme case occurred on Polymarket. A user used only $32 to bet on "Venezuelan President Maduro being ousted by the US" and profited about $400,000 hours after the event occurred. This near-precise prophecy raised huge concerns about intelligence leaks and insider trading, also touching the highest alert level of governments regarding political prediction activities.

As of now, Polymarket has disclosed on its official website: The platform has implemented geographical blocking for 33 countries/regions, mainly concentrated in jurisdictions with strict online gambling regulations.

The Core of the Game: Financial Instrument or New Form of Gambling?

The intense game between the market and regulators is rooted in a fundamental legal定性分歧. From the perspective of institutions and platforms等 supporters, prediction markets are efficient tools for information aggregation and risk pricing, belonging to the innovative category of financial derivatives, and should be regulated by financial regulatory agencies (such as the US CFTC) in the form of "contracts."

However, for most regulatory agencies, especially in Europe and parts of Asia: prediction markets, particularly contracts involving sports, politics, and entertainment events, due to their low threshold, retailization, high entertainment value, and other characteristics, are本质上 closer to gambling. They may trigger addiction, money laundering, market manipulation, and social ethical issues (such as betting on disasters or political assassinations), and therefore should fall into the gambling regulatory framework, subject to strict restrictions or even bans.

This misalignment in定性 has led to the current fragmented global regulatory landscape. The same product might be a financial innovation experiment under negotiation with the CFTC in the US, while in Hungary, it is directly defined as an illegal gambling site and technically blocked.

Outlook

In the future, prediction markets will likely evolve into a binary coexisting格局.

Platforms represented by Kalshi will adhere to the financial regulatory path, strictly limiting the types of tradable events (e.g., focusing on economic data, some non-sensitive policies), serving institutions and qualified investors. Their liquidity quality is high, but品类 are limited, becoming a relatively closed "information pricing特区."

Decentralized platforms represented by Polymarket will continue to operate in regions where regulations are not explicitly blocked or where technology makes complete blocking difficult. They offer a wider range of more down-to-earth event contracts (including elections, geopolitical conflicts, etc.), attracting opportunists seeking high volatility and rich narratives. This will become a "gray zone" where regulatory risks and speculative returns coexist.

The signal for participants is very clear: although the value of prediction markets is being quickly recognized by institutions and will be deeply embedded in future macro trading and risk management models, the legal and compliance risks of directly participating in trading are急剧升高, and these risks are highly differentiated depending on the jurisdiction.

Perhaps in the end, the prediction markets that can truly last long-term and be widely cited by institutions will likely be the "regulation-friendly + category-restricted" version, not the ones that grew野蛮.

This is not only the fate of prediction markets but perhaps also the coming-of-age ceremony that all disruptive financial innovations must undergo when they touch the core of power and ethics.

*This content is for reference only and does not constitute investment advice. The market carries risks, and investment requires caution.

Preguntas relacionadas

QWhat is the core conflict between prediction markets and global regulators as discussed in the article?

AThe core conflict revolves around the fundamental legal classification of prediction markets. Supporters (like institutions and platforms) view them as efficient information aggregation and risk pricing tools, falling under financial innovation and derivatives, which should be regulated by financial authorities (e.g., CFTC in the US). However, many regulators, particularly in Europe and parts of Asia, classify them as gambling due to their low entry barrier, retail participation, high entertainment value, and potential issues like addiction, money laundering, market manipulation, and ethical concerns (e.g., betting on disasters or political assassinations). This misalignment leads to a fragmented global regulatory landscape.

QWhich two major prediction market platforms are highlighted for their significant trading volume, and what are their key characteristics?

AThe two major platforms are Kalshi and Polymarket. Kalshi is a US-compliant platform, contributing to about two-thirds of the global daily trading volume (approximately $7.017 billion on January 12, 2026). It follows a financial regulatory path, focusing on serving institutions and qualified investors with stricter event types (e.g., economic data, non-sensitive policies). Polymarket is a decentralized platform, accounting for the majority of the remaining volume. It offers a wider range of event contracts (including elections, geopolitical conflicts) and operates in a regulatory gray area, attracting speculators but facing geographic blocks in many jurisdictions.

QWhat event example is given in the article that raised concerns about insider trading and political sensitivity in prediction markets?

AThe article cites an extreme case on Polymarket where a user placed a $32 bet predicting 'Venezuelan President Maduro being ousted by the US' and profited approximately $400,000 just hours after the event occurred. This near-precise prediction sparked significant concerns about intelligence leaks and insider trading, touching the highest alert level for governments regarding political prediction activities.

QHow has the perception and use of prediction markets by institutional players evolved according to the article?

AInstitutional perception has shifted significantly. Prediction markets have transformed from a niche narrative into an institutional-grade sector with substantial liquidity. They are now seen as valuable tools for pricing 'event outcomes' and managing risk, especially amid high macroeconomic uncertainty where traditional financial derivatives cannot cover non-standard events like election results, policy timing, or military conflicts. Notably, Polymarket's data partnership with Dow Jones & Company, integrating its market data into terminals like The Wall Street Journal, signifies that prediction markets have become a formal decision-making reference for Wall Street traders and analysts.

QWhat is the predicted future landscape for prediction markets as outlined in the article?

AThe article predicts a binary coexistence future. One path is represented by platforms like Kalshi, which will adhere to financial regulation, restrict event types strictly (e.g., focusing on economic data and non-sensitive policies), and serve institutions and qualified investors, forming a high-quality liquidity but limited 'information pricing special zone'. The other path is represented by decentralized platforms like Polymarket, which will continue operating in regions where regulation is not explicitly blocked or is hard to enforce, offering broader, more speculative event contracts. This creates a 'gray area' with high regulatory risk and speculative returns. Ultimately, the version likely to be widely adopted by institutions long-term is the 'regulation-friendly + category-restricted' model.

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