Kalshi Raises Another $1 Billion, Prediction Markets Pushed to the Financial Main Table by Capital

Original by Odaily (@OdailyChina)

Author: Asher (@Asher_0210)

Kalshi has once again thrust prediction markets into the spotlight of capital markets.

Last night, prediction market platform Kalshi announced a new $1 billion funding round, led by Coatue Management, at a post-money valuation of $22 billion. Prediction markets are transitioning from niche event-trading tools into the purview of mainstream capital and institutional finance.

Previously, prediction markets were mostly discussed in the context of elections, sports, entertainment, and short-term hotspots. This funding round for Kalshi indicates that capital is looking beyond just how hot a particular market is, focusing instead on whether the uncertainties of the real world can be structured into a long-term, functioning trading mechanism. If this path is cleared, prediction markets will no longer just be a traffic-driven business, but will become closer to financial infrastructure.

Behind the $1 Billion Funding Round, Capital is Betting on a New Asset Class

This funding round for Kalshi is not an isolated high-valuation event.

Over the past seven months, Kalshi has completed three consecutive funding rounds, with its valuation nearly doubling each time. In June 2025, Kalshi raised $185 million in a Series C round at a valuation of ~$2 billion; in October, a ~$300 million Series D at a $5 billion valuation; in December, a Series E raised another $1 billion, pushing the valuation to $11 billion. With this latest round, Kalshi's post-money valuation has reached $22 billion. In just a few months, the valuation has surged from $2 billion to $22 billion, an increase of over 10x.

Relying solely on elections, sports, and trending events to attract user bets would hardly support such a valuation. The real story Kalshi is telling is that prediction markets have the potential to evolve from a niche trading venue into a new market for event-based trading.

Traditional financial markets trade stocks, bonds, commodities, currencies, interest rates, and volatility. However, the real world is full of uncertainties that are difficult to price directly. Election outcomes, policy changes, economic data, weather events, and geopolitical shifts all impact corporate decisions, asset prices, and public expectations, yet they have long lacked standardized trading tools.

What prediction markets aim to do is break down these uncertainties into tradable contracts, allowing prices to directly reflect the probability of a specific event occurring. This is where Kalshi's potential lies. It's not just about enabling more people to bet on the future; it's about attempting to transform future uncertainty into a risk asset that can be traded, managed, and hedged.

From Election Betting to Pricing Real-World Risk

Prediction markets first gained mainstream attention through elections. Compared to polls, they are more direct, compressing disparate judgments into a real-time price. Candidate win probabilities, policy passage likelihood, and whether economic data will beat expectations can all be quickly expressed through market prices.

But relying solely on elections and sports cannot sustain today's valuations. The real narrative Kalshi wants to establish is whether prediction markets can enter broader risk-pricing scenarios. Interest rate decisions, CPI, employment data, weather disasters, policy changes, and supply chain shocks – these risks were mostly tradable only indirectly in the past, but now they could be decomposed into individual event contracts.

Therefore, the long-term value of prediction markets doesn't lie in enabling more people to guess outcomes correctly, but in transforming the uncertainties of the real world – which were previously difficult to trade – into a continuously updating price set that the market can reference.

Kalshi's Most Valuable Asset is Its Regulatory License

In Kalshi's growth story, trading volume and fees are important, but its position within the US regulatory framework is even more critical.

Unlike platforms like Polymarket that are more crypto-native and globally liquid, Kalshi follows a US domestic compliance route. It is a Designated Contract Market (DCM) regulated by the CFTC. This means Kalshi is attempting to embed prediction markets within the federal financial regulatory framework, rather than just building an open event-betting platform.

For ordinary users, prediction markets are simply platforms to trade event outcomes. But for institutional capital, compliance is the primary threshold. For hedge funds, asset managers, and market makers to enter, they first need clarity on contract attributes, clearing and settlement, audit trails, and risk control processes.

Thus, a part of Kalshi's valuation prices its growth, and another part prices its license. The closer prediction markets move to mainstream finance, the more important regulatory status becomes. For Kalshi, which has secured a federally compliant entry point, regulation is not just a constraint but could become its most critical moat.

The Biggest Controversy Remains: Are Prediction Markets Finance or Gambling?

The core issue for prediction markets is whether event contracts constitute financial derivatives or a form of disguised gambling. Especially markets for sports, entertainment, and elections easily blur the lines with traditional gambling. Multiple state regulators argue that some of Kalshi's products circumvent state-level gambling oversight. Kalshi, on the other hand, insists that event contracts are financial products under CFTC jurisdiction and should be handled within the framework of the Commodity Exchange Act.

This battle doesn't just concern Kalshi; it defines the ceiling for the entire prediction market industry. If state gambling oversight logic prevails, prediction markets could be forced into a model of applying for licenses state-by-state and getting product approvals one-by-one, limiting expansion speed and product scope. If the federal financial regulatory logic is further solidified, event contracts could exist as independent financial products, amplifying Kalshi's license value.

Therefore, the regulatory debate is not a side plot in Kalshi's story; it's integral to its valuation logic. Capital is willing to give Kalshi a high valuation because it believes Kalshi has a strong chance of winning this regulatory game and converting its compliance advantage into market share.

Insider Trading: The Unavoidable Dark Side of Prediction Markets

Beyond regulatory classification, prediction markets face another thorny issue: insider trading.

The value of a prediction market comes from information being incorporated into prices. The more informed participants trade, the closer the market price might get to the true probability. However, information distribution regarding real-world events is inherently unequal. Politicians, campaign staff, athletes, show producers, and corporate insiders often know results earlier or are closer to them than ordinary users.

Herein lies the paradox. If insiders do not participate, market information efficiency might decrease. If insiders participate heavily, ordinary users may feel they are merely liquidity to be harvested. The more prediction markets emphasize information efficiency, the harder it is to avoid fairness issues arising from information advantages.

Currently, Kalshi has strengthened its monitoring and penalty mechanisms, including restricting related parties from trading their own markets, investigating suspicious activity, and penalizing violative accounts. But this is far from sufficient. If prediction markets aim to evolve from traffic platforms to financial markets, they must not only prove they can attract trading volume but also demonstrate their ability to handle insider trading, information asymmetry, and market fairness. Otherwise, institutional capital will struggle to view them as serious markets for long-term participation.

Kalshi Isn't Alone; The Prediction Market Sector is Heating Up Overall

Based on data from April 2026, the prediction market is no longer just a two-horse race between Kalshi and Polymarket. Kalshi captured approximately 50% market share with $14.8 billion in volume, becoming the first platform to secure over half the monthly volume this year, and has maintained a volume lead for eight consecutive months. Polymarket posted $10.2 billion in volume during the same period (34% share), remaining a key competitor. Notably, predict.fun and Limitless also achieved volumes of $1.5 billion and $1.7 billion, respectively.

Prediction market platform trading volumes for April

Kalshi has taken a leading position, but the prediction market hasn't become a one-company show; other platforms are also accelerating their efforts. More accurately, Kalshi's lead hasn't suppressed the growth of others; rather, it indicates that demand for prediction markets is spreading from the top platform to more entry points.

The future of prediction markets will likely not have just one winner. Compliant institutional markets, crypto-native markets, exchange-integrated venues, and vertical event markets may coexist. The competition among platforms isn't just for users, but for the liquidity and pricing power of real-world events.

Capital Has Entered; Prediction Markets Must Prove They Belong at the Big Table

Funding is not the finish line; it's the beginning of a larger test.

The significance of Kalshi's funding round isn't just pushing its own valuation to $22 billion, but more importantly, placing prediction markets firmly within the mainstream financial narrative for the first time. Previously, it was often an entry point for trading elections, sports, and trending events. Now, capital is starting to believe that real-world uncertainty can be structured into a continuously operating price system.

But this cannot be accomplished by Kalshi alone. Platforms like Polymarket, predict.fun, and Limitless are also expanding liquidity, improving user experience, and exploring various market entry points. Kalshi represents the compliant institutional route; Polymarket represents crypto-native and global liquidity; predict.fun leverages Binance resources to bring prediction markets directly to exchange users, while generating discussion and viral spread on X platform through differentiated events.

Only when prediction markets are used not just for chasing trends, but are utilized by institutions for hedging, by corporations for decision-making, and perceived by the market as a signal for real-world risk, can they truly claim a seat at the main financial table.

Capital has already provided its valuation in advance. Now, Kalshi and the entire prediction market industry must prove that prediction markets are more than just turning news into trades; they can genuinely transform the uncertainties of the real world into a price that can be trusted and used.