From Robinhood to Polymarket: Is the Era of Integrating All Assets on a Single Platform Coming?

marsbitPublicado a 2026-04-24Actualizado a 2026-04-24

Resumen

From Robinhood to Polymarket: The Era of All-in-One Asset Platforms Is Coming Asset classes are rapidly converging. Platforms that once specialized in single categories—such as stocks, cryptocurrencies, or prediction markets—are now moving toward offering all three. Robinhood pioneered this model, starting with equities, adding crypto in 2018, and prediction markets in 2025. This strategy has proven resilient: when crypto revenues fell, other segments like options and stocks filled the gap. Now, prediction market leaders Polymarket and Kalshi are moving in the same direction, both announcing perpetual futures trading on April 21, 2026, pending regulatory approval. These futures will cover assets like Bitcoin, gold, and stocks such as Nvidia. This trend mirrors the consolidation seen in consumer tech, like smartphones replacing dedicated cameras and MP3 players. Younger users, accustomed to interacting with multiple asset types from an early age, will increasingly demand unified platforms. A key competitive advantage in prediction markets is collateral utilization—idle assets locked during betting periods. Polymarket’s move into perpetuals may be a strategy to generate yield from that capital, similar to earlier DeFi integrations like PolyAave. As the regulatory landscape evolves, traditional finance is also likely to incorporate crypto and prediction markets, further accelerating this convergence.

Written by: Tiger Research

Compiled by: AididiaoJP, Foresight News

Key Points

Different asset classes are accelerating their integration: Stocks, cryptocurrencies, and prediction markets were once independent. Today, the trend of integrating all assets on a single platform is accelerating. Robinhood has proven this model with data; Polymarket and Kalshi are moving in the same direction.

In prediction markets, collateral utilization will become a core competitive advantage: In prediction markets, collateral is locked until the outcome is determined. Polymarket's launch of perpetual futures trading is likely an effort to generate returns from idle assets.

Traditional finance is also moving toward the same integration: The new generation of users has grown up accustomed to interacting with multiple asset classes simultaneously. As generations shift, the demand for integrated platforms will only grow, and large financial institutions will gradually incorporate crypto spot trading and prediction markets as the environment opens up to regulation.

On April 21, 2026, the two leading prediction market platforms, @Polymarket and @Kalshi, announced the launch of perpetual futures trading on the same day. The trading targets are expected to include cryptocurrencies like Bitcoin, commodities like gold, and stocks like Nvidia. Both platforms stated that they will officially launch after receiving regulatory approval.

Why Now

This can be understood through the "Robinhood model." The trend of integrating previously independent asset classes into a single platform has long been underway; the announcements from Polymarket and Kalshi are merely a continuation of this trend.

Robinhood started as a stock trading app, added cryptocurrency trading in 2018, and incorporated prediction markets in 2025, pioneering the model of consolidating fragmented trading markets under one platform.

This model has been validated by data. After expanding its crypto business, crypto trading revenue became Robinhood's largest single revenue source in Q4 2024. Although crypto revenue fell 38% year-over-year in Q4 2025, total revenue remained stable, with options, stocks, and prediction markets filling the gap. A structure of resilience through diversification has taken shape.

Polymarket and Kalshi are starting from the opposite direction but heading toward the same endpoint. They originated in prediction markets and are now adding futures trading. The starting points differ, but the destination is the same. As the Robinhood model proves successful, traditional finance is likely exploring the same path.

A Simple Analogy

Smartphones integrated cameras, MP3 players, and navigation into a single device; the era of carrying separate devices for each function is over. The same transformation is happening in finance.

Brokerage accounts, crypto exchanges, and prediction markets are merging into a single platform. Robinhood started as a stock app and gradually added cryptocurrencies and prediction markets; Polymarket started with prediction markets and is now adding crypto perpetual contracts. The starting points differ, but the direction is the same.

The Generalization of the Robinhood Model

As generations shift, this trend will accelerate further. The new generation of users has grown up simultaneously exposed to stocks, cryptocurrencies, and prediction markets. Just as smartphone users would not accept separate devices for a camera, MP3 player, and map, this generation finds the idea of using separate apps for each asset class unfamiliar from the start. The demand for an integrated platform that handles all assets within a familiar interface will grow naturally with each generation.

This is the generalization of the Robinhood model.

Polymarket and Kalshi have a particular advantage in this model. Because collateral in prediction markets is locked until the outcome is determined, how to utilize these idle assets will become a key competitive differentiator.

On December 3, 2025, a developer proposed the concept of PolyAave: depositing Polymarket's outcome tokens into an Aave liquidity pool to earn interest. This was an early attempt to convert prediction market collateral into DeFi yields. Polymarket's launch of perpetual futures is likely an extension of this logic. The strategy of not letting locked capital sit idle is sound.

Polymarket and Kalshi are moving first, but traditional finance faces the same pressure. As the regulatory environment gradually opens up, large financial institutions will directly support crypto spot trading and gradually incorporate new asset classes, including prediction markets.

Preguntas relacionadas

QWhat is the main trend discussed in the article regarding asset trading platforms?

AThe main trend is the convergence of different asset classes—such as stocks, cryptocurrencies, and prediction markets—into single, integrated platforms, as exemplified by Robinhood, Polymarket, and Kalshi.

QHow did Robinhood validate the integrated platform model according to the article?

ARobinhood validated the model by expanding from stocks to cryptocurrencies in 2018 and prediction markets in 2025, with crypto trading becoming its largest revenue source in Q4 2024. Despite a crypto revenue drop in Q4 2025, total revenue remained stable due to diversification into options, stocks, and prediction markets.

QWhy are Polymarket and Kalshi adding perpetual futures trading?

AThey are adding perpetual futures trading to utilize idle collateral locked in prediction markets, turning it into yield and enhancing their competitive advantage by not letting capital remain idle.

QWhat generational shift is driving the demand for integrated financial platforms?

AYounger generations, who have grown up simultaneously exposed to stocks, cryptocurrencies, and prediction markets, naturally prefer a single platform for all assets, similar to how smartphones integrate multiple devices into one.

QHow might traditional financial institutions respond to this trend?

AAs regulatory environments open up, large financial institutions are likely to gradually adopt crypto spot trading and incorporate new asset classes like prediction markets, following the same convergence path.

Lecturas Relacionadas

Deconstructing the U.S. Stock Quantum Computing Sector: IonQ, Rigetti, D-Wave, Which of These Concept Stocks is Worth Betting On?

**Title:** Analyzing the US Quantum Computing Race: IonQ, Rigetti, D-Wave – Which Concept Stock is Worth Betting On? **Summary:** The podcast discusses the resurgence of quantum computing as a national priority for both the US and China, driven by its potential to break current encryption, revolutionize drug discovery, finance, and logistics. The core challenge is commercializing the technology, which is hampered by high error rates in quantum bits (qubits). Quantum error correction, requiring thousands of physical qubits per reliable logical qubit, is key but years away. The analysis compares three main publicly traded US quantum computing firms: * **IonQ (Ion Trap):** Considered the most financially stable with the fastest commercial progress (2025 revenue: $130M, +202%) and high-quality clients. Its valuation is very high, pricing in significant future growth. * **Rigetti (Superconducting):** Seen as the highest-risk, highest-potential-reward bet. It has the smallest revenue but recently launched a 108-qubit system. Its valuation multiples are extreme, making it highly sensitive to news. * **D-Wave (Quantum Annealing):** Has the most unique positioning with real-world enterprise clients today (e.g., Mastercard, Volkswagen) solving optimization problems. Its recent acquisition moves it into general-purpose quantum computing ("dual-platform"), adding execution risk. Major tech giants like Google, IBM, and Microsoft are also heavily invested, pursuing various technical approaches. Nvidia is positioning itself as the essential bridge between classical and quantum computing. The investment phase is likened to AI in 2018-2020: promising underlying technology with accelerating breakthroughs but a commercial inflection point still 3-7 years away, suggesting potential for a market correction ("bubble washout"). For investors, suggested approaches include gaining exposure through tech giants with quantum divisions (e.g., Google, IBM) or using niche ETFs like WQTM for pure-play quantum exposure, rather than direct stock picks in the highly volatile pure-play companies at this early stage.

marsbitHace 11 min(s)

Deconstructing the U.S. Stock Quantum Computing Sector: IonQ, Rigetti, D-Wave, Which of These Concept Stocks is Worth Betting On?

marsbitHace 11 min(s)

Ethereum Bears In Pole Position: $1,850 Could Be The Next Landing Spot

Ethereum's price remained bearish in May, with analysts predicting a potential drop to around $1,850. Crypto analyst Burak Kesmeci notes that ETH is trapped in a descending channel on the 4-hour chart, indicating seller dominance. If it fails to break the $2,033 resistance, a decline to the $1,822-$1,850 range is likely. While a breakout above $2,033 could target $2,400, the downward move appears more probable. This bearish outlook is reinforced by significant outflows from spot Ethereum ETFs, totaling over $241 million in the past week—the third consecutive week of major outflows. ETH has lost nearly 15% of its value over the last three weeks and is currently trading around $2,023.

bitcoinistHace 23 min(s)

Ethereum Bears In Pole Position: $1,850 Could Be The Next Landing Spot

bitcoinistHace 23 min(s)

From Parallel Finance to Mainstream Finance: The On-Chain Securities Era Ushers in a Historic Window

From Parallel Finance to Mainstream: The Dawn of On-Chain Securities For over a decade, the crypto industry has operated as a parallel financial system with its own currencies, markets, and assets—from Bitcoin and ICOs to DeFi, NFTs, and memecoins. Despite building a robust internal ecosystem, a wall has separated it from the traditional financial world. That barrier is now crumbling. The industry's first act was one of internal evolution: ICOs streamlined fundraising, DeFi recreated financial services on-chain, and layer-2 networks competed for scalability—all within the crypto bubble. While innovative, this cycle remained closed, with capital and users circulating internally, leading to volatile boom-bust cycles. Even Bitcoin ETFs, while attracting Wall Street capital, merely provided a channel to buy crypto assets without bridging the systems. The next, larger narrative is Real-World Assets (RWA) moving on-chain. This involves tokenizing stocks, bonds, funds, and future cash flows. Blockchain can compress the complex traditional processes of trading, settlement, clearing, and custody into a seamless, automated network operating in seconds. This shift is creating a new financial gateway: the native crypto securities broker. This entity will combine functions of an exchange, broker, bank, and custodian into a unified global financial operating system. Consequently, the next major battleground won't be the "public chain wars" focused on speed and cost, but the competition to build the financial infrastructure capable of hosting high-quality, liquid real-world assets. Access to global equities, index funds, or stakes in companies like SpaceX could erase the boundary between crypto and traditional finance, unlocking a market orders of magnitude larger than crypto's current valuation. In summary, after years of creating a separate financial world, crypto's next decade will be defined by its integration into the existing global financial system, marking the true beginning of its largest growth story.

marsbitHace 32 min(s)

From Parallel Finance to Mainstream Finance: The On-Chain Securities Era Ushers in a Historic Window

marsbitHace 32 min(s)

Wang Chuan: When the Neighbor Old Wang Made 30x on Memory Stocks, How to Avoid Anxiety (Part Six) - The Trap of Commoditized Goods

Wang Chuan: When the Neighbor Lao Wang Made 30x on Storage Stocks, How to Stay Anxiety-Free (Part 6) - The Trap of Commoditized Goods. This essay uses historical and current examples to analyze the cyclical and high-risk nature of the data storage industry. It begins with the 1990s rise and dramatic fall of Iomega, whose stock soared over 160x in 18 months before collapsing 97% from its peak, illustrating the fleeting success of storage "meme stocks." The core problem is that storage products, like DRAM and flash memory, are highly commoditized. This leads to extreme volatility: prices have plummeted over 80% multiple times, and company stocks often crash 95% or go bankrupt. The industry's dynamic is defined by "elastic demand facing heavy-asset, long-cycle, rigid supply." When demand spikes and supply is fixed, prices skyrocket, as seen recently with AI-driven demand for High Bandwidth Memory (HBM). Companies like Sandisk and Micron have reported massive revenue and gross margin jumps (e.g., Sandisk's gross margin rising from 22.5% to 78.3%) despite minimal increases in production volume. However, these high margins are self-defeating. They incentivize massive new capacity investments (hundreds of billions planned from 2026), with supply expected to surge by late 2027. Once new supply meets demand, prices and profits will crash, potentially leading to a scenario where "selling more results in earning less." The article debunks the safety of long-term supply agreements, comparing them to fragile non-aggression pacts easily broken when market conditions shift. It warns that when an industry is highly profitable but trades at low P/E ratios, the risk is greatest, as plummeting prices quickly erase those earnings. Multiple asymmetric risks loom, including economic recession, reduced AI spending, faster-than-expected capacity expansion (especially from Chinese firms), and technological innovations that reduce memory requirements. In conclusion, the storage sector is a cyclical trap where periods of euphoric profits are often precursors to devastating downturns, luring unprepared investors into a "wealth incinerator."

marsbitHace 42 min(s)

Wang Chuan: When the Neighbor Old Wang Made 30x on Memory Stocks, How to Avoid Anxiety (Part Six) - The Trap of Commoditized Goods

marsbitHace 42 min(s)

Wang Chuan: When the neighbor Lao Wang earned thirty times from investing in memory storage stocks, how can you still avoid anxiety (6) - The trap of homogeneous products

The article, "Wang Chuan: How to Remain Unanxious After Neighbor Lao Wang's Thirty-Fold Gain on Storage Stocks (Part 6) - The Trap of Commoditized Goods," analyzes the cyclical and perilous nature of the data storage industry through historical and current case studies. It begins with the example of Iomega, whose Zip drives led to a stock surge of over 160x in the mid-1990s before collapsing over 97% from its peak due to competition from cheaper CD-R technology. This pattern is characteristic of storage, where products like DRAM are highly commoditized, leading to extreme price volatility. The sector has seen prices crash over 80% multiple times, with companies often facing bankruptcy. The core dynamic is "elastic demand facing heavy-asset, long-cycle, rigid supply." High prices attract new capacity, but the long lead time means supply eventually overshoots, causing sharp price corrections. The current AI-driven boom, exemplified by surging demand for High-Bandwidth Memory (HBM), has led to skyrocketing prices and profit margins for companies like SanDisk and Micron, despite relatively flat production volumes. However, the author warns this high-margin environment is self-defeating. The high profits are already triggering massive new capacity investments (hundreds of billions starting 2026), with supply expected to ramp up by late 2027. When supply catches up, total revenue and profits may fall even as more units are sold. Long-term supply agreements offer little protection, as buyers can find ways to renegotiate if market prices drop, similar to fragile political treaties. Key risks include economic downturns, cuts in AI spending, faster-than-expected capacity expansion (especially from Chinese firms), and innovations in chip/algorithm design that reduce memory needs. A critical trap is that at the cycle's peak, storage stocks often appear cheap with low P/E ratios, luring value investors just before an impending downturn where profits evaporate. The conclusion cautions that for commoditized goods like storage, high margins inevitably destroy themselves, and the current asymmetry favors downside risk over further upside. The neighbor's dream of easy wealth from storage stocks is portrayed as a precarious illusion.

链捕手Hace 59 min(s)

Wang Chuan: When the neighbor Lao Wang earned thirty times from investing in memory storage stocks, how can you still avoid anxiety (6) - The trap of homogeneous products

链捕手Hace 59 min(s)

Trading

Spot

Futuros

Artículos destacados

Cómo comprar ERA

¡Bienvenido a HTX.com! Hemos hecho que comprar Caldera (ERA) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar Caldera (ERA) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu Caldera (ERA)Después de comprar tu Caldera (ERA), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Caldera (ERA)Tradear fácilmente con Caldera (ERA) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

369 Vistas totalesPublicado en 2025.07.17Actualizado en 2025.07.17

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de ERA (ERA).