In the hours before votes were counted across four Indian states and one Union Territory, a different kind of tally was already settling.
On obscure websites and encrypted apps, traders had quietly priced the probability of each political outcome, long before the Election Commission made it official. For a growing class of participants, elections are no longer just democratic exercises. They are tradable events.
The rise of prediction markets is turning uncertainty into an asset class, and with platforms like the US Based predition market platform Kalshi entering institutional territory, the line between forecasting, finance and gambling is rapidly dissolving.
What Prediction Markets Really Are
At their core, prediction markets are platforms where people trade contracts tied to future events. A simple example illustrates the model. A contract might ask whether a party will win a state election. If traders believe the probability is 70 percent, the contract trades at roughly 0.70. If the event occurs, it settles at 1. If not, it drops to zero.
Unlike traditional betting, these markets are structured as exchanges. Participants trade against each other, and prices move based on collective belief. Advocates argue that this “wisdom of crowds” often produces more accurate forecasts than polls or expert opinion.
That claim has gained traction. During the 2024 US presidential election, prediction markets outperformed several polling aggregates in anticipating the outcome, contributing to a surge in global interest. Prediction markets can bet on anything, from weather forecast to climate change to sports. They even bet on who will attend the Met Gala. It’s bizarre.
From Fringe To Financial Asset
What was once a niche internet experiment is now edging into institutional finance. Platforms like Kalshi operate under the oversight of the US Commodity Futures Trading Commission, classifying event contracts as financial instruments rather than bets.
This distinction is crucial. It allows hedge funds, proprietary traders and sophisticated investors to participate in markets tied to inflation data, interest rate decisions or geopolitical developments. Kalshi itself has reportedly reached a $22 billion valuation and is raising significant new capital, underscoring investor confidence in the model.
The shift accelerated further in 2026 with the first reported block trades on Kalshi, signalling institutional-scale participation. This is a turning point. Prediction markets are no longer just retail speculation. They are becoming part of the broader financial ecosystem.
Betting on Assembly Elections & IPL in India
A central player in this shift is Kalshi, a regulated US-based exchange now offering contracts not just on inflation or elections, but also on India’s Indian Premier League. Users can trade on match outcomes, team performance and tournament winners, effectively turning cricket into a financial market.
At the same time, reports suggest prediction markets saw heavy activity around India’s recent assembly elections, with offshore platforms attracting wagers estimated at over ₹25,000 crore across states.
Government scrutiny has intensified, as these platforms are increasingly used to speculate on both political outcomes and sporting events like the IPL.
Even though these platforms are officially blocked, access persists. Users frequently bypass restrictions using VPNs and cryptocurrencies, turning enforcement into what officials describe as a “whack-a-mole” problem.
The Ministry of Electronics and Information Technology has responded by directing VPN providers to prevent access to such platforms, warning that failure to comply could result in loss of legal protections.
Grey Zone Or Clear Ban
The legal position in India is relatively unambiguous on paper but murky in practice. Under the current framework, real-money prediction markets fall under the broader prohibition on online betting and gambling.
Recent policy developments, including the 2025 online gaming regulations, explicitly bar such platforms from operating domestically.
However, the enforcement challenge lies in jurisdiction. Most prediction markets are offshore and operate using decentralised payment systems. Recently India’s Ministry of Electronics and Information Technology warned VPN providers about the accessibility of prediction market platforms.
The result is a parallel ecosystem. Officially banned, yet actively used.
Global Tug Of War Over Legitimacy
Globally, the debate is far from settled. In the United States, prediction markets occupy a contested space between financial regulation and gambling law.
On one hand, federal regulators treat platforms like Kalshi as legitimate exchanges. On the other, states are pushing back, arguing that these markets resemble unlicensed betting. A recent legal battle in Massachusetts highlights this tension, with courts questioning whether prediction contracts are fundamentally different from gambling products.
Concerns go beyond legality. Critics point to risks of insider trading and market manipulation. There have already been cases where individuals attempted to profit from non-public information, including political insiders and even military personnel.
In response, platforms are tightening rules, banning politicians and athletes from trading on relevant events and introducing safeguards against misuse.
Sports, Markets And Moral Questions
Prediction markets are expanding rapidly beyond politics. Sports remains the dominant category, accounting for the majority of trading activity on some platforms.
But this expansion raises ethical concerns. Player associations in major US leagues have warned that certain types of bets, such as those tied to injuries or underperformance, could incentivise harmful behaviour and harassment.
The broader question is whether turning real-world outcomes into financial instruments changes behaviour itself. When people have money riding on outcomes, incentives shift. Information becomes valuable. So does influence.
The Accuracy Argument
Supporters of prediction markets often emphasise their predictive power. By aggregating diverse information and aligning incentives with accuracy, these markets can, in theory, produce highly reliable forecasts.
But recent research suggests the picture is more complex. Studies analysing millions of trades show systematic biases, particularly in political markets where probabilities tend to cluster around uncertainty rather than reflect true likelihoods.
In other words, prediction markets are informative but not infallible. They reflect sentiment as much as reality.
The Bigger Question
The rise of prediction markets forces a deeper question. Are these platforms tools for better forecasting or simply a new form of speculation packaged as finance?
In India, the answer is being shaped by prohibition and enforcement gaps. Globally, it is being negotiated through courts, regulators and capital markets.
What is clear is that prediction markets are no longer fringe. They are becoming infrastructure for how societies process uncertainty.
And increasingly, before results are declared, the market has already made its call.
The Logical Indian’s Perspective
Prediction markets sit at the intersection of data, finance and speculation, offering a compelling way to aggregate public sentiment. Globally, they are being tested as forecasting tools, but in India, the legal and ethical questions remain unresolved.
The current approach of blanket restrictions has not stopped participation, only pushed it offshore. A more nuanced regulatory framework could balance innovation with safeguards. The real question is whether India chooses to prohibit these markets, or shape them into a transparent, accountable system.
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