The First 'Prediction Market' Stock Emerges!

Odaily星球日报Pubblicato 2026-06-15Pubblicato ultima volta 2026-06-15

Introduzione

"Prediction market pioneer Kalshi faces a major new challenge from its former key partner, Robinhood. Following a successful collaboration starting in March 2025, where Kalshi provided prediction market infrastructure to Robinhood's user base, Robinhood has now launched its own competing platform, Rothera Exchange. This move, leveraging Robinhood's control over massive retail user distribution, threatens to divert a significant portion of Kalshi's order flow. Rothera strategically launched during the high-traffic 2026 World Cup, quickly processing tens of millions of contracts. Analysts estimate the partnership previously contributed 25%-35% of Kalshi's volume, translating to potential annual revenue diversion worth hundreds of millions of dollars. The shift underscores a broader industry trend: in commoditized markets, control over user access and distribution channels, rather than just the underlying trading platform, may become the ultimate source of power and profit."

Original | Odaily Planet Daily(@OdailyChina)

Author | Azuma(@Azuma_eth)

The fires of the World Cup have been lit, and the total trading volume across prediction markets continues to hit new highs. However, as the industry leader, Kalshi might not be in the best mood right now.

The reason isn't due to fluctuations in Kalshi's own business data, but because a formidable new rival has "suddenly" appeared in front of Kalshi, following Polymarket. This opponent was once Kalshi's most important ally.

  • Odaily Note: Data sourced from Defillama.

Kalshi's Most Crucial Traffic Channel — Robinhood

Let's turn the clock back to March 2025. At that time, Kalshi announced a partnership with the U.S. online brokerage Robinhood. The latter would leverage Kalshi to offer its users prediction market trading services, allowing users to place bets on events like politics, economics, and sports.

From a business model perspective, this was a typical case of "mutual benefit" — Robinhood, responsible for user access and trade distribution, could directly use Kalshi's mature product. Kalshi, responsible for the underlying market, matching, clearing, and regulatory compliance system, could access Robinhood's massive pool of retail user traffic.

The subsequent story proved the "win-win" outcome of this collaboration. Through Robinhood's distribution channel, Kalshi indirectly gained vast amounts of users and trading volume. Piper Sandler analysts estimated that "trading volume completed through the Robinhood channel accounted for about 25%-35% of Kalshi's total trading volume." These orders ultimately translated into revenue on both parties' ledgers — Robinhood independently charged for all Kalshi event contracts traded through its channel, $0.01 per contract per side, before sharing profits with Kalshi (the specific split was not disclosed).

The Q1 financial report disclosed at the end of April this year showed that Robinhood transacted 8.8 billion event contracts in Q1, driving "other transaction revenue" to increase 320% year-over-year, reaching $147 million. Prediction markets had become the brightest growth engine in Robinhood's product line.

But recently, this relationship has undergone some subtle changes.

Robinhood's Ambition: Reclaiming the Cake Shared with Kalshi

As internet history has proven countless times, when a distribution channel gains enough clout, it is no longer satisfied with being just a channel. Robinhood is no exception.

Although the partnership with Kalshi also brought Robinhood considerable revenue, as prediction markets became one of the fastest-growing new businesses on the platform, Robinhood was no longer content with the current profit-sharing arrangement.

In the partnership model, Kalshi provided the market and infrastructure, while Robinhood provided the users and order flow. However, as the collaboration deepened, Robinhood gradually realized that what might truly be scarce was not the market itself, but the user entry point it firmly controlled. After all, for most Robinhood users, they don't care whether orders are ultimately filled on Kalshi or another platform — users only see a trading entry point within the Robinhood app, not the underlying infrastructure provider.

In other words, Robinhood always controlled one of the most important resources for a prediction market — distribution capability. If the users belonged to itself, then why should the order flow go to someone else?

In fact, while Robinhood was rapidly validating the demand for prediction markets through Kalshi, another Plan B was quietly launched shortly after.

In November 2025, Robinhood announced the formation of a joint venture with Wall Street quantitative trading giant Susquehanna and planned to acquire the CFTC-regulated derivatives exchange MIAXdx. According to the official statement, the joint venture would operate an independent futures and derivatives exchange and clearinghouse in the future, with prediction markets being one of its key focuses. At the time, the outside world mostly viewed it as an infrastructure investment. However, as more information was disclosed later, people gradually realized that Robinhood's ambition far exceeded merely finding a new partner for prediction markets.

In January 2026, the deal was officially completed. Robinhood and Susquehanna gained 90% control of MIAXdx, along with a complete CFTC regulatory framework, including Designated Contract Market (DCM) and Derivatives Clearing Organization (DCO) licenses. Subsequently, MIAXdx was renamed Rothera Exchange, and its clearinghouse was renamed Rothera Clearing.

At this point, Robinhood already possessed the core elements required to independently operate a prediction market. What was missing was only a mature product comparable to Kalshi's, but for Robinhood with its rich internet product development experience, this was clearly not a challenge.

Rothera's Opportunity: The World Cup

In June 2026, after about half a year of accelerated development, the Rothera product began to take shape. Robinhood finally made the move that seemed almost inevitable — gradually shifting the order flow that originally went to Kalshi into its own controlled system.

Robinhood specifically chose an excellent debut battlefield for Rothera — the World Cup. For prediction markets, the World Cup is undoubtedly one of the most traffic-generating trading themes. Whether it's match outcomes, advancement results, or the final champion, related markets can attract a large number of new users to trade in a short time. For the new Rothera platform just starting up, there's no better scenario than the World Cup for a cold launch.

According to Robinhood's official disclosure, during this World Cup, which consists of 104 matches, some event contracts would be directed to Rothera for matching and clearing. These include markets for individual World Cup match results, the ultimate World Cup champion, and total goals in single matches. Compared to the previous model that relied entirely on Kalshi, this marked the first time Robinhood would import prediction market orders into its own trading system on a large scale.

Judging by the results, Rothera clearly seized this opportunity. According to data disclosed by Hood House, a research-focused media outlet tracking Robinhood dynamics, on June 12, Rothera transacted 44.2 million contracts, corresponding to a dollar trading volume of approximately $24.4 million. On June 13, Rothera transacted 69.7 million contracts, corresponding to a dollar trading volume of approximately $20.9 million... Although these figures still have a gap compared to Kalshi's hot markets with billions of dollars in trading volume, considering that Rothera had literally just launched a few days prior, this performance data is already sufficiently successful.

For both Robinhood and Kalshi, this indicates that the balance in their collaboration has begun to tilt. From Robinhood's perspective, the commission revenue that previously needed to be shared with Kalshi can now be retained within its own ecosystem. From Kalshi's perspective, this means that one of its most important growth engines is starting to show signs of weakening.

And the World Cup is clearly just the beginning of Rothera's encroachment on Kalshi. Looking further into the future, Robinhood is bound to expand Rothera's coverage to more sports events as well as economic and political themes. Those orders that originally flowed to Kalshi will be successively intercepted by Rothera.

Since Robinhood and Kalshi have never disclosed their profit-sharing ratio, we cannot know the exact value of this interception. However, considering that Robinhood alone generated $147 million in prediction market-related revenue in Q1, and the Q2 World Cup and the more distant midterm elections will likely bring larger-scale trading activity, the value of this interception could reach billions of dollars on an annual basis.

Who Controls Distribution, Controls Everything

The drama of Robinhood and Kalshi moving from allies to opponents once again illustrates a logic repeatedly proven in the internet market — products are easy to build, but traffic is hard to find; whoever controls distribution controls everything.

Over the past few years, the market generally believed that Kalshi's core moat came from regulatory licenses, exchange qualifications, and clearing capabilities. Therefore, whether it's brokerages like Robinhood or various media, communities, and traffic platforms, they were essentially just Kalshi's distribution channels and traffic inlets. However, the emergence of Rothera proves one thing: in an era of severe product homogenization, the product itself might not be the most important element. What remains truly scarce is always the user.

Where the users are, the liquidity is; where the liquidity is, the market will be. When Robinhood controls the entry point for tens of millions of retail users, it has full capability to direct these users to any trading venue. For users, they don't care whether orders are ultimately filled on Kalshi or Rothera. As long as the experience isn't significantly different, who handles the matching and clearing behind the scenes doesn't matter.

If the theme of the prediction market industry in the past few years was the market battle between Polymarket and Kalshi, then the theme for the coming years might become a channel war. Robinhood incubating Rothera is essentially a reverse integration initiated by the distribution side towards the market layer. As more and more platforms with traffic inlets begin to realize the strategic value of prediction markets, similar stories are highly likely to continue. Whether it's exchanges, brokerages, social platforms, or media platforms, any could become a new entry point for prediction markets.

And when inlets start to control the market, and channels begin to possess pricing power, the ultimate winner in the prediction market industry might no longer be the platform responsible for matching orders, but the one closest to the user, the one who can best control distribution.

This was true in the internet era, and also true in the mobile internet era. This time, it's no exception.

Domande pertinenti

QWhat was the strategic significance of the partnership between Robinhood and Kalshi announced in March 2025?

AThe partnership was strategically significant for both parties. Robinhood leveraged Kalshi's established prediction market product and regulatory infrastructure to offer event contract trading to its user base. In return, Kalshi gained access to Robinhood's massive retail investor traffic. It was a 'win-win' where Robinhood handled distribution and Kalshi provided the underlying market, matching, clearing, and compliance systems.

QAccording to the article, what prompted Robinhood to launch its own prediction market platform, Rothera Exchange?

ARobinhood's launch of Rothera Exchange was driven by its realization that it controlled the most valuable asset: user distribution. As prediction markets became a major growth driver on its platform, Robinhood became dissatisfied with sharing revenue with Kalshi. Recognizing that users trade through the Robinhood interface and are indifferent to the backend provider, Robinhood decided to capture more value by building its own CFTC-regulated market and clearing infrastructure.

QWhat event did Robinhood choose to launch Rothera Exchange, and why was it an opportune moment?

ARobinhood chose the 2026 FIFA World Cup to launch Rothera Exchange. This was an opportune moment because the World Cup is one of the most high-traffic events for prediction markets, attracting大量 new users to trade on match outcomes, tournament winners, and other related markets. It provided the perfect scenario for the 'cold start' of their new platform.

QWhat core industry dynamic does the Robinhood-Kalshi-Rothera case illustrate, according to the article's conclusion?

AThe case illustrates the core dynamic that 'who controls distribution, controls everything.' In a market where products are increasingly commoditized, the article argues that the truly scarce resource is not the trading platform itself, but the user base and the distribution channels. Entities controlling user access (like Robinhood) hold ultimate pricing power and can redirect liquidity, making them the potential ultimate winners, not necessarily the underlying market operators.

QHow does the article characterize the future competitive landscape of the prediction market industry following this development?

AThe article characterizes the future competitive landscape as shifting from a 'market war' (like between Polymarket and Kalshi) to a 'channel war.' It predicts that platforms with significant user traffic—such as exchanges, brokerages, social media, and media platforms—will recognize the strategic value of prediction markets. Following Robinhood's model, these channels may initiate reverse integration by building or acquiring their own market infrastructure, leading to more consolidation where distribution controls the market.

Letture associate

Why Is the World Nervous About Japan Raising Interest Rates?

In June 2026, the Bank of Japan raised its policy rate to 1%, marking its first hike to this level since 1995. While this rate remains low compared to global peers like the US and Europe, the move signals a profound shift for a nation that has been a global source of ultra-cheap funding for decades. Japan's long-standing near-zero or negative interest rates had facilitated massive "yen carry trades," where international investors borrowed low-cost yen to invest in higher-yielding assets worldwide, such as US tech stocks and emerging market bonds. This made Japan a critical, often overlooked, source of global liquidity. Japan's ultra-loose policy stemmed from structural challenges post-1990s asset bubble: aging demographics, chronic low inflation/deflation, and high public debt. Recent shifts, including sustained wage growth (exceeding 5% in recent years) and inflation consistently above the 2% target, have created a "wage-price spiral" possibility, prompting the policy normalization. The global market's concern lies not in the absolute rate but in the potential unwinding of the yen carry trade. As Japanese borrowing costs rise, the economics of these leveraged global investments change, potentially triggering deleveraging and capital outflows from risk assets. Market anxiety focuses on the end of a thirty-year consensus that Japan would perpetually provide cheap funding. Ultimately, the global impact will depend on the interplay with US monetary policy. While Japan is tightening, the significant interest rate differential with the US remains. The key future dynamic is whether simultaneous Japanese hikes and eventual US rate cuts will narrow this gap, forcing a major recalibration of global capital flows and asset pricing built on an era of abundant, cheap yen liquidity.

marsbit56 min fa

Why Is the World Nervous About Japan Raising Interest Rates?

marsbit56 min fa

Research Report Analysis: MRVL's Optical AI Booming, Why High Valuation Keeps Morgan Stanley's Star Analyst Sidelined?

Report Recap: MRVL Optical AI Boom - Why High Valuation Led Morgan Stanley's Star Analyst to Stay Neutral? Morgan Stanley analyst Joseph Moore maintained an "Equal-weight" (Neutral) rating on Marvell Technology (MRVL) on May 28, raising the price target from $172 to $195, below the trading price. This stance comes despite Marvell reporting a record quarter and significantly raising its full-year outlook (FY27 revenue ~$11.5B, up ~40%). Moore's neutral view is based on valuation. The $195 target implies ~40x CY2027 P/E. He contrasts MRVL with NVDA: both trade near ~$200, but Nvidia's forward EPS is more than double Marvell's. For MRVL's valuation to hold, it needs consistent earnings upgrades, proof of networking market share gains, or certainty on large-scale custom AI chip shipments—none of which are confirmed yet. Growth is driven by two pillars: **1) Optical Interconnect** (the faster runner): Moore raised FY27 growth expectations to >70%, with the optical module product line nearing a $1B annualized run rate. **2) Custom AI Chips** (the climber): Confidence in FY28 is growing, but a major new customer project only ramps in FY28, with no current revenue visibility. Key risks are the underperforming Storage, Enterprise, and legacy Networking segments. Moore acknowledges the real AI opportunity but believes the current price already reflects it. For the stock to work from here, investors need to see the optical business hit its targets, custom chips ramp as planned, and a recovery in the weaker business units.

marsbit2 h fa

Research Report Analysis: MRVL's Optical AI Booming, Why High Valuation Keeps Morgan Stanley's Star Analyst Sidelined?

marsbit2 h fa

qinbaFrank: Review and Outlook of the AI Computing Power Wave — From the Three Debates on NVIDIA to Optical Interconnect and SpaceX IPO, How is Capital Rotating?

**Summary: Retrospective and Outlook on the AI Computing Wave - A Framework for Capital Rotation** Based on a presentation by investor qinbaFrank, this analysis reviews the AI computing market trajectory since 2023 and outlines a forward-looking framework. **Key Phases and Market Debates:** The AI bull market progressed through three major debates: 1) The necessity of massive capital expenditure (late 2023). 2) The sustainability of tech giants' spending (early 2024-early 2025). 3) Potential overestimation of compute needs (early 2025). Consensus solidified in late 2025 as model capabilities and utility demonstrably improved. **Core Thesis: Penetration Rate Drives Commercialization.** Unlike the 2000 dot-com bubble, the current AI wave benefits from mature digital infrastructure, enabling faster adoption. The critical threshold is 10% penetration; surpassing it (with recent enterprise intent surveys showing ~18%) indicates entry into a rapid growth "golden period" where user scale and willingness to pay increase simultaneously. **AI vs. Internet: A Fundamental Difference.** While the internet enhanced connection efficiency, AI directly substitutes human cognition and labor. Once AI performance exceeds the "societal average" human level, its commercial value scales exponentially as payment shifts from human labor costs to AI service fees. **Investment Logic Evolution in the Compute Chain.** The focus has expanded from GPUs to a systemic re-rating of the entire hardware stack: storage/HBM, CPUs, interconnects, power, and advanced packaging. The framework is: **short-term "scarcity pricing," mid-term "upgrade pricing" (e.g., optical interconnects, power networks), and long-term "Physical AI" pricing** (edge computing, robotics). **Market Focus Shift and Adjustment Framework.** The market is transitioning from "hardware scarcity" to "commercialization validation." The ultimate anchor for the narrative is sustained high growth in model providers' Annual Recurring Revenue (ARR) and cloud business revenue, which justifies continued capital expenditure. Adjustments are categorized into three levels: * **L1 (Minor):** Driven by valuation compression or macro noise (e.g., single CPI print). Fundamentals intact. * **L2 (Moderate):** Triggered by significant macro events requiring risk repricing. Requires new data for confidence restoration. * **L3 (Major):** Involves a reset of the core industrial narrative or macro regime (e.g., AI commercialization growth stalling). The **crucial dividing line** is whether AI commercialization growth slows. Without a slowdown, pullbacks are likely L1/L2 "repricing" events. A genuine growth deceleration would signal an L2/L3 narrative reset. **Conclusion: A Foundational Civilizational Leap.** AI represents a foundational upgrade to "intelligence" itself—akin to humanity mastering fire—rather than a single-point industrial revolution. This底层能力跃迁 (underlying capability leap) will spawn successive waves of innovation (Agent, robotics, industry workflow重构). The journey will be波浪式的 (wavelike), driven by cycles of scarcity, technological upgrades, and远期兑现 (long-term realization).

marsbit2 h fa

qinbaFrank: Review and Outlook of the AI Computing Power Wave — From the Three Debates on NVIDIA to Optical Interconnect and SpaceX IPO, How is Capital Rotating?

marsbit2 h fa

A Country That Mined Bitcoin for 8 Years Has Built Its Own Dedicated Crypto Bank

A country that has been mining Bitcoin for eight years has established its own dedicated crypto bank. DK Bank, located in Bhutan's newly developed GMC special administrative zone, aims to fill the significant banking service gap for the cryptocurrency industry. Its CEO, Zheng YD, explained that most banks avoid crypto businesses due to a lack of risk management frameworks for decentralized and anonymous protocols. Operating under a unique "one country, two systems" governance model separate from mainland Bhutan, GMC aspires to become a financial hub for South Asia. DK Bank differentiates itself by offering integrated multi-currency accounts where users can manage both fiat currencies and stablecoins like USDT and USDC in one place, alongside services like Bitcoin-backed loans. The bank faces technical challenges in merging traditional banking systems with 24/7 crypto markets and implements rigorous on-chain and off-chain transaction monitoring for risk control. GMC's regulatory framework draws from Singaporean common law and Abu Dhabi's ADGM rules, offering a fast-track licensing process for already licensed firms while maintaining high standards. The initiative is part of Bhutan's longer-term crypto strategy, which includes Bitcoin mining since 2018. The focus, however, is on building a diversified institutional-grade crypto ecosystem—including custody and asset management—rather than retail speculative tokens. Proponents argue such sovereign crypto infrastructure is necessary, and Bhutan's early, measured approach exemplifies the thoughtful integration needed in global finance.

Foresight News2 h fa

A Country That Mined Bitcoin for 8 Years Has Built Its Own Dedicated Crypto Bank

Foresight News2 h fa

Trading

Spot
Futures
活动图片