From American elections to political contests across Africa, Europe and Asia, a new financial industry is putting prices on democratic outcomes, geopolitical uncertainty and the future of governments. But who really profits when the world becomes a marketplace for political predictions?
By Ephraim Agbo | World Politics and Geostrategy | November 10, 2026
On election night, democracy produces a result. Somewhere else, a financial market produces a profit or a loss. That distinction is becoming increasingly important as prediction markets transform elections, political transitions and geopolitical developments into tradable financial contracts. What was once a relatively obscure activity among political enthusiasts has developed into a substantial commercial industry, attracting technology companies, professional traders, venture capital and ordinary participants willing to stake money on what they believe will happen next.
The United States has become the industry's most visible testing ground, but the phenomenon is no longer confined to American politics. Prediction markets are expanding across national borders, offering contracts linked to elections, political leadership and other public events. The implications extend beyond the financial fortunes of individual traders. They raise fundamental questions about the relationship between money, political information, democratic accountability and the growing commercialisation of uncertainty. The central issue is not whether people should be allowed to make predictions about politics, but what happens when the outcomes of democratic processes become financial products and the companies operating these markets have commercial incentives to keep expanding them.
Democracy may still be decided by voters. Increasingly, however, its possible outcomes are also being priced by traders.
THE BUSINESS OF PRICING THE FUTURE
Prediction markets operate through contracts linked to the occurrence or non-occurrence of specific events. A participant can buy a contract predicting that a particular candidate will win an election, that a political party will control parliament or that a government will announce a particular policy. In a simple binary contract, a correct prediction pays one dollar, while an incorrect one pays nothing. If a contract trades at 60 cents, its price can be interpreted as a market-implied probability of approximately 60 per cent, although that figure is not a scientific measurement of the candidate's actual chance of winning.
Unlike a conventional opinion poll, which asks respondents what they think or intend to do, a prediction market asks participants to put money behind an expectation. Its supporters argue that financial incentives encourage serious research and help aggregate information that might otherwise remain scattered across political reporting, polling, campaign intelligence and public debate. A trader risking money has an incentive to examine the evidence rather than simply express a political preference, while thousands of participants may bring different information into the same market.
There is a legitimate argument that these platforms can contribute to public understanding. Their prices change as new information enters the system, sometimes offering a useful snapshot of how financially committed participants interpret unfolding events. But a market price is not a scientific measurement of political reality, a vote or a guarantee. It can move because of new information, but also because of liquidity, the entry of a wealthy trader, speculative enthusiasm or an imbalance between buyers and sellers. An 80 per cent market probability does not make an outcome inevitable, just as an event occurring against a 20 per cent probability does not automatically prove that the market was defective. Probability describes uncertainty; it does not eliminate it.
The commercial opportunity lies in turning that uncertainty into something people can repeatedly buy and sell.
AMERICA: THE FINANCIALISATION OF AN ELECTION
The 2026 US midterm elections demonstrated the scale of the business. According to a November 3 analysis by The Washington Post, nearly $1.9 billion in notional trading volume had accumulated across election-related markets on Kalshi and Polymarket by late November 2. The contracts covered more than 7,000 possible outcomes, ranging from individual congressional contests to which party would control the House and Senate. <Cite refs={["turn141044search1"]}/>
The figure requires an important qualification. It does not represent $1.9 billion in unique money deposited or permanently lost by participants. It measures notional trading activity: contracts can be bought and sold repeatedly, with each transaction contributing to the total. The same money can therefore support multiple transactions. Nevertheless, the scale of activity demonstrates how prediction markets have moved beyond a niche activity into a substantial commercial arena.
The election itself produced a major political change. Democrats captured both chambers of Congress, delivering a result that Reuters described as a sweeping electoral defeat for President Donald Trump and his party. The outcome also illustrated the limits of forecasting: although markets had leaned towards a Democratic victory, the scale of the party's gains exceeded many expectations. <Cite refs={["turn141044search6","turn141044search5"]}/>
The significance of the election was therefore twofold. It showed that prediction markets could attract substantial financial activity around democratic outcomes, while also demonstrating that even a market pointing in the correct general direction cannot reliably anticipate every political development. The industry is not simply selling bets on who will win. It is creating a financial environment in which thousands of questions about political power can become separate contracts: who will control Congress, which candidate will win a particular constituency, whether a government will take a specific action or whether a political figure will leave office by a particular date.
The expansion of these markets is particularly significant because the United States has an unusually large financial system, globally influential political institutions and technology companies capable of scaling digital exchanges. What happens in American prediction markets can therefore shape the commercial and regulatory direction of the wider industry. But America is the starting point of the story, not its geographical boundary.
THE GLOBAL MARKETPLACE: DEMOCRACY BEYOND WASHINGTON
The international expansion of prediction markets is becoming visible in the range of elections listed for trading. Kalshi's international elections section, as displayed on November 10, listed 89 elections across 44 countries, including national, regional and local contests. Its markets covered political events in Europe, Africa, Asia, North America and other regions, with listings that included elections and political contests in countries such as South Africa, Grenada, New Zealand, Taiwan, Spain, Switzerland and Malaysia. <Cite refs={["turn141044search0"]}/>
The significance is not that every one of these markets carries enormous financial volume. Many have relatively modest activity, and some have little or no trading. The important development is the expansion of the infrastructure: political outcomes in multiple jurisdictions are being converted into contracts that can be listed, priced and traded through a financial platform. This is where the meaning of "Democracy for Sale" becomes global.
In Nigeria, for example, the same international elections listing included markets relating to the 2027 presidential election and the Lagos State governorship election. Their presence demonstrates that the commercial reach of prediction markets is no longer restricted to Washington or Western European political contests. <Cite refs={["turn141044search0"]}/> This does not mean that prediction markets are determining Nigerian elections, that their prices represent the views of Nigerian voters or that they have established influence over the country's political process. Those would be much larger claims requiring separate evidence. It does mean that Nigerian political outcomes are entering a financial marketplace in which participants can trade on expectations about the country's future leadership.
That development deserves attention. Elections in developing democracies often take place amid concerns about campaign financing, institutional independence, misinformation, political patronage and the influence of powerful domestic and foreign interests. Introducing financial speculation around electoral outcomes adds another dimension to the debate about transparency and accountability. Who is allowed to participate? Where are the traders located? What information do they possess? Can people with access to political campaigns or government institutions profit from developments they can influence? And which regulator has authority when a market based in one country offers contracts linked to an election in another?
The global expansion of prediction markets does not automatically mean that democracy is being manipulated. It does, however, create a transnational financial system around political uncertainty, and that system deserves scrutiny wherever it operates.
WHO REALLY MAKES THE MONEY?
The popular image of a successful prediction-market trader is someone with exceptional political insight: a person who studies the candidates, understands voter behaviour, identifies an overlooked possibility and makes a profitable prediction. Some participants may indeed succeed through research and accurate forecasting. But the economics of these markets reveal another important source of profit: trading strategy.
Participants can earn money not only by predicting an event correctly but also by providing liquidity. Market makers place orders that allow other traders to buy or sell more easily, seeking to capture the difference between buying and selling prices. This is known as the bid-ask spread. It can be profitable, but it is not risk-free; prices can move against the trader and positions may become difficult to close.
A 2026 study by Pat Akey, Vincent Grégoire, Nicolas Harvie and Charles Martineau, titled Who Wins and Who Loses in Prediction Markets? Evidence from Polymarket, examined 588 million trades representing $67 billion in trading volume. It found that the top one per cent of users with positive trading results captured 76.5 per cent of profits. The researchers also found that successful traders were more likely to provide liquidity through limit orders, while unsuccessful traders more often took liquidity through market orders. <Cite refs={["turn322299search4","turn322299search5"]}/>
The researchers did not find evidence suggesting that insider trading explained the performance of the largest winners. That distinction matters because concentrated profits do not, by themselves, prove that the market is being manipulated or that successful traders possess classified information. They do, however, reveal an uneven competitive environment. Professional participants may have better technology, more sophisticated trading systems, greater financial resources and the ability to monitor developments across multiple markets, while casual users may enter the same marketplace without comparable advantages.
The lesson is that prediction markets are not simply competitions between people who understand politics and those who do not. They are financial environments in which liquidity, execution, market structure and risk management can be as important as forecasting ability. The person who predicts an election correctly is not necessarily the person who makes the most money from it.
THE PLATFORMS: SELLING ACCESS TO UNCERTAINTY
The companies operating prediction markets occupy a different position from the people trading on them. A trader makes or loses money according to the position taken and the outcome of a contract. A platform's commercial interest is to attract users, encourage transactions and expand its marketplace.
Kalshi has argued that it operates as an exchange matching buyers and sellers rather than as a traditional bookmaker taking the opposite side of every customer's position. Its revenue model includes transaction fees. This distinction is important, but it does not make the company's commercial interests disappear. An exchange can remain neutral about which candidate wins while benefiting from increased trading activity.
The scale of investor interest is illustrated by Kalshi's October 29 announcement of a $1 billion funding round at a $40 billion valuation. Reuters reported that the company was seeking to expand beyond its prediction-market roots into a broader financial trading business, placing it in competition with established exchanges. <Cite refs={["turn322299news64"]}/> The valuation reflects investor expectations about the company's future, not proof that its business model is guaranteed to succeed. Nevertheless, it demonstrates how seriously financial institutions and venture investors are beginning to treat the market for event-based trading.
The commercial opportunity extends beyond elections. Economic indicators, interest-rate decisions, commodity prices, sporting events and geopolitical developments can all generate questions that participants may be willing to trade. The more events that can be converted into contracts, the greater the potential marketplace. This is the deeper business model: not simply selling bets on political outcomes, but building financial infrastructure around uncertainty itself.
WHEN POLITICAL INFORMATION BECOMES A NATIONAL-SECURITY RISK
The most serious questions arise when prediction markets move beyond elections into military operations, diplomacy and national security. In April 2026, the US Department of Justice announced charges against Army Master Sergeant Gannon Ken Van Dyke, alleging that he used classified information connected to the operation to capture Venezuelan President Nicolás Maduro to place profitable bets on Polymarket. Prosecutors alleged that he earned approximately $409,881 from Venezuela-related contracts. Van Dyke pleaded not guilty. The allegations must therefore not be presented as a conviction. <Cite refs={["turn322299search1","turn322299search11"]}/>
The case illustrates a vulnerability that extends beyond one individual. When the timing of a military operation or a political transition becomes the subject of a tradable contract, people with privileged access to sensitive information may have an incentive to exploit that information for personal gain. A military officer who knows the timing of an operation, an official aware of an impending diplomatic announcement or an individual with privileged access to intelligence could possess an advantage unavailable to ordinary traders.
The consequences may go beyond unfair financial competition. Misuse of confidential information could compromise operational security, encourage leaks or create incentives to seek information that governments have a legitimate responsibility to protect. There is also a difficult question about the nature of the contracts themselves: should markets allow people to profit from the likelihood of military intervention, assassination, war or the removal of a government? These are not ordinary commercial events. They involve human lives, national sovereignty and consequences that can extend far beyond the traders who hold the contracts.
Prediction markets can potentially provide information about geopolitical expectations. But the existence of a market does not automatically make every event appropriate for financial speculation.
THE REGULATORY BATTLE: FINANCIAL EXCHANGE OR GAMBLING?
The expansion of prediction markets has created a confrontation over how they should be classified and regulated. In the United States, Kalshi operates as a federally regulated designated contract market under the Commodity Futures Trading Commission. The company argues that its event contracts belong within the federal derivatives framework. State authorities, however, have challenged the legal status of some contracts, particularly where they resemble sports betting or other forms of gambling.
The disagreement concerns more than technical definitions. It involves consumer protection, underage participation, responsible-gambling safeguards, market manipulation, insider trading and the division of authority between federal and state regulators. The federal framework offers the possibility of consistent rules across state borders, but federal oversight does not automatically settle every question about the social consequences of these markets. Nor does it eliminate the need to investigate suspicious trading, conflicts of interest and misuse of confidential information.
The position of Polymarket is not identical to Kalshi's, and the two companies should not be treated as though they operate under precisely the same legal arrangements. Their expansion nevertheless forms part of a wider debate about the regulation of event-based trading.
The international dimension makes the challenge more complicated. A contract may be listed on a platform operating in one jurisdiction, involve an election in another and attract traders from several countries. Which government should supervise it? What happens when a market's terms conflict with local electoral or gambling laws? How can regulators investigate trading when participants use anonymous accounts or cryptocurrency? These are not questions that can be resolved by simply calling the product a financial contract. Governments will have to determine what protections are necessary and which authorities are responsible for enforcing them.
CAN MARKETS INFLUENCE THE POLITICS THEY CLAIM TO PREDICT?
Prediction markets are generally presented as instruments that observe the world and assign prices to possible outcomes. But as their visibility increases, they may also influence the political environment they are supposed to measure. A market price can be circulated on social media, reported by news organisations and cited by campaign supporters as evidence that a candidate is gaining or losing momentum. A high probability may create confidence among supporters, while a declining price can reinforce perceptions of political weakness.
This does not mean that market prices determine elections. Voters still cast ballots, and the political, economic and social forces shaping their decisions remain far more important than the price of a financial contract. But a feedback loop is possible: markets react to political developments; media coverage amplifies market movements; political actors respond to the coverage; and those reactions may become new information for traders.
The danger is not that a prediction market will replace the ballot box. It is that market prices may gradually acquire an authority in public debate that they do not deserve. A market-implied probability is not the same as a public opinion poll. Trading volume does not tell us how many citizens support a candidate, and a heavily traded contract does not establish that its outcome is politically legitimate.
The distinction is particularly important in countries where electoral institutions are already under pressure. Political legitimacy comes from constitutional processes and the consent of citizens, not from the amount of money traded on a possible outcome.
THE GEOPOLITICAL DIMENSION: WHEN THE WORLD BECOMES A FINANCIAL PRODUCT
Prediction markets are part of a wider transformation in modern finance: the effort to turn uncertainty into something that can be measured, packaged and traded. Geopolitical events already influence conventional financial markets. Wars affect energy prices, sanctions reshape trade, elections can alter currency expectations and fiscal policy, while diplomatic crises can disrupt supply chains and change the risk calculations of multinational companies.
Prediction markets introduce another layer by allowing participants to trade directly on whether specific events will occur. There may be legitimate uses. Businesses could use market prices as one additional source of information when assessing political risk, analysts may study how expectations change in response to diplomatic developments, and researchers may examine whether financial incentives help aggregate information more effectively than conventional forecasting methods.
But there is a fundamental difference between managing exposure to geopolitical risk and turning every crisis into a speculative opportunity. A war is not simply a market event. A coup is not merely a contract settlement. The collapse of a government can have consequences for millions of people that cannot be captured by a winning or losing position.
The commercial logic of prediction markets encourages expansion into new categories of uncertainty. The public-interest question is whether every uncertainty should become tradable simply because someone is willing to put a price on it.
THE NEXT FRONTIER: WHO CONTROLS THE MARKETPLACE OF DEMOCRACY?
The next stage of prediction markets will depend on their ability to expand beyond election-night speculation and become a more established part of the financial system. Their platforms will seek greater liquidity, more sophisticated users and wider institutional participation. Regulators will face pressure to establish rules that address manipulation, insider trading, consumer protection and contracts involving national security. Governments outside the United States will increasingly have to decide how to respond when political outcomes within their borders become tradable elsewhere.
For countries such as Nigeria, the issue deserves attention before the industry becomes deeply embedded in domestic political life. The presence of Nigerian election contracts on an international platform does not establish that those markets are influencing the electoral process. It does, however, raise questions about transparency, foreign participation, the handling of politically sensitive information and the legal authority to supervise such activity.
The challenge for governments is to distinguish between legitimate financial innovation and practices that could undermine public trust. Banning every form of political forecasting would ignore the potential informational value of these markets. Allowing unrestricted expansion without adequate safeguards would ignore the risks. The question is how to regulate the industry without confusing market activity with democratic legitimacy.
DEMOCRACY FOR SALE — BUT WHO IS BUYING?
The central question is not whether people should be allowed to predict political outcomes. It is who benefits when the future of governments becomes a commercial product. The ordinary participant may be trying to make money from a candidate's victory; a professional trader may be exploiting price differences and liquidity; a market maker may be earning from the spread between buyers and sellers; and a platform may be collecting fees while attracting billions of dollars in investment. Each is participating in the same marketplace, but they are not pursuing the same objective or operating with the same advantages.
That is the political economy of prediction markets. They present themselves as marketplaces of collective intelligence, but they are also commercial systems in which capital, technology, information and market structure determine who can profit.
Democracy, however, is not a financial contract. A candidate's market price is not the value of a democratic mandate. A prediction is not a vote, and the ability to profit from political uncertainty does not give traders a greater stake in a country's future than the citizens who will live with the consequences.
The title "Democracy for Sale" is not a claim that voters are literally selling their votes or that prediction markets have taken control of democratic institutions. It describes a growing financial industry that turns expectations about political power into tradable assets. The distinction matters because markets may help people interpret uncertainty, but they cannot determine what a society should value, which government it should choose or what kind of future its citizens deserve.
From Washington to Lagos, and from national elections to geopolitical crises, the business of trading political expectations is expanding. Its future will depend not only on how much money it attracts or how accurately it predicts outcomes, but also on whether governments can ensure that commercial incentives do not undermine public accountability.
Democracy belongs to citizens. The question now is how far the marketplace built around its uncertainties will be allowed to reach.