A detailed breakdown of Kalshi: When 'everything becomes tradable'

Prediction markets are evolving into a new species in the U.S.: using binary (yes/no) contracts, elections, sports, interest rates, weather, crypto assets—and even pop culture—are all being transformed into tradable prices. In a research report on the private company Kalshi, BofA Securities delivered a clear verdict: Kalshi has propelled the entire ‘prediction market’ category into the mainstream spotlight—thanks to its federal regulatory license, explosive trading volume growth, and exceptional product iteration speed. According to Fengfeng Trading Desk, Bank of America Securities analyst Julie Hoover summarized Kalshi’s prominence in one sentence in her latest report: “Kalshi is the fastest-growing company outside the AI sector,” citing two telling figures—weekly trading volume surged from roughly $100 million to over $3 billion, and Kalshi now commands over 90% of the U.S. market share. This is not a company propped up by hype or concept alone; its trading volume expands almost every week. Growth initially broke out around political events—but it was sports that truly lifted trading volume to today’s levels. As of March 2026, sports accounted for approximately 79–80% of platform volume. Meanwhile, Kalshi is shedding early dependence on distribution channels: Robinhood contributed ~60% of trading volume in Q2 2025, but that share dropped to ~23% by March 2026, as Kalshi’s own direct-to-consumer (B2C) platform rapidly gained strength. Yet Kalshi’s story extends far beyond just “traffic” and “sports.” It operates both a B2C application and a B2B exchange-distribution model—and even internalizes clearing and market-making capabilities. Its business model is fee-driven and, in theory, highly profitable. A broader strategic vision lies in institutional use cases: binary contracts can be used directly to hedge discrete events—geopolitical developments, weather, interest rates, macroeconomic data—rather than inferring exposure indirectly through asset price correlations. What remains hardest to price is regulation itself: Is this financial trading—or gambling? Lawsuits in 14 states, multiple congressional bills, and the ongoing jurisdictional tug-of-war between federal and state regulators have elevated the possibility of Supreme Court intervention to the single largest variable affecting Kalshi’s trajectory. Weekly trading volume soared from $100 million to $3 billion in one year: elections opened the door; sports delivered compounding growth. Kalshi’s nationwide breakout moment came during the 2024 U.S. presidential election: In September 2024, Kalshi won a landmark court ruling against the CFTC, securing the right to launch federally regulated election contracts. It then leveraged the election cycle to bring its products to mass audiences. After the election, sports became the true “engine of trading volume.” Charted against key event windows—Super Bowl, March Madness—trading volume spiked sharply. By March 2026, sports accounted for ~79% of total volume. This explains how Kalshi achieved growth trajectories comparable to mainstream sports betting products—even within a category widely perceived as niche. Sports also brought a structural advantage: As a federally regulated platform, Kalshi may offer sports-event contracts across all 50 states—whereas traditional online sports betting (OSB) is legal in only 38 states. Kalshi serves users aged 18+, while most state OSB platforms require users to be 21+. Moreover, Kalshi does not bear state gambling taxes (which, per the report, consume ~33% of OSB operators’ revenue), further differentiating its user base and cost structure.

The rise of the 'second tier' in prediction markets: Structural shifts revealed by monthly data—how mid- and small-sized platforms achieve >50% growth amid pressure from industry giants?

Second, PredictFun exemplifies the classic ‘volume-and-price growth in tandem’: event count rose 52.7%, while trading volume surged 57.2%—indicating not only more events, but deeper participation per event. II. Differentiation Strategies: Three Distinct Paths Among the Platforms Limitless’s ‘long-tail strategy’: adding 27,552 new events monthly—demonstrating its focus on generating a high volume of niche, finely categorized prediction events. Each such event may draw modest trading volume individually, but collectively they deliver broad category coverage and attract users interested in obscure or specialized topics. Gemini’s ‘infrastructure strategy’: As an established exchange, Gemini entered prediction markets with inherent advantages—its mature compliance framework, existing user base, and robust technical infrastructure. The addition of 52,249 new events monthly reflects rapid replication of prediction-market products atop its pre-existing architecture—not building from scratch. PredictFun’s ‘community strategy’: Binance’s recent announcement of integration with PredictFun (featuring zero gas fees) significantly boosted PredictFun’s visibility and user acquisition. The 57.2% surge in trading volume stems not only from increased event count, but also from network effects generated by ecosystem partnerships. III. Why do headwinds for top-tier platforms benefit mid- and small-sized ones? Following the World Cup, overall prediction-market trading volume declined. Total platform volume over the past seven days stood at $5.85 billion—a 8.8% week-on-week drop. But the impact of this ‘ebb tide’ is asymmetric across platforms: For Kalshi, trading volume remained at $1.196 billion (67.2% of the total), still vastly ahead in absolute scale—with limited room left for further decline. For Polymarket, geographic restrictions (33 countries on its restricted list) and the lingering fallout from JPMorgan cutting off banking services continue to weigh heavily. Its on-chain TVL shrank from $576.5 million at end-April to $403.7 million—a 30% drop. For mid- and small-sized platforms, many new users who flooded in during the World Cup are now seeking differentiated experiences—lower entry barriers, more entertaining categories, stronger social features. These unmet needs are precisely what mid- and small-sized platforms are positioned to fulfill. IV. Cross-platform data comparison: A market undergoing stratification Per AIM Predict’s full dataset, the prediction market is crystallizing into a clear three-tier structure: Tier 1 (> $1 billion/week): Kalshi alone, at $1.196 billion Tier 2 ($100 million–$1 billion/week): Polymarket at $428.8 million; PredictFun at $145.1 million Tier 3 (< $10 million/week): Limitless at $4.867 million; Gemini at $2.833 million; Opinion at $1.27 million; 42.space at $573,000 At first glance, the gap appears enormous—but growth-rate data tells a different story: Tier 3 platforms are expanding significantly faster than Tier 1. If current growth rates persist, the market structure could undergo substantial reshaping within the next six months. V. Implications for ordinary users

Kalshi's $400 Million-Plus Monthly Commodity Trade Volume Outpaces Early Crypto Growth

Sep 8, 2026

Prediction market startup Kalshi reported monthly commodity trading volumes exceeding $400 million, surpassing early cryptocurrency benchmarks. The platform expanded into oil, gas, and metals contracts, citing improved liquidity and diverse participation.

reuters

2026-04-30

CFTC Reviews Trader Data Report as Kalshi Expands in Commodities

2026-09-08

Kalshi's $400 Million-Plus Monthly Commodity Trade Volume Outpaces Early Crypto Growth

Kalshi's $400 Million-Plus Monthly Commodity Trade Volume Outpaces Early Crypto Growth

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