The Encrypted Super App Revolution: When Coinbase Breaks Financial Boundaries

marsbitPublished on 2025-12-22Last updated on 2025-12-22

Abstract

Coinbase and Robinhood are leading a shift towards integrated financial "super apps," moving beyond fragmented services to combine stock trading, cryptocurrencies, derivatives, and predictive markets in a single platform. This consolidation addresses inefficiencies like multi-day settlement delays and fragmented liquidity, allowing instant asset reallocation within one account. Key enablers include tokenization for 24/7 trading, clearer regulations, and advanced mobile wallet infrastructure. Social trading is emerging as a differentiator, enabling users to mimic trusted traders. However, this recentralization raises concerns about counterparty risk, gamified trading incentives, and whether this truly democratizes finance or merely replaces traditional gatekeepers. The era of financial fragmentation is ending, but the outcome—genuine innovation or repackaged control—remains uncertain.

Original Author: Nishil Jain

Original Compilation: Luffy, Foresight News

Last week, Coinbase launched a new product touted as the "Future of Finance." One app now integrates five major functions: 24/5 stock trading, centralized exchange and on-chain cryptocurrency trading, futures and perpetual contract trading, prediction markets, and even features an AI financial analyst. All functions are accessible via mobile, with a single account balance allowing users to instantly switch between different asset classes.

Not long ago, Robinhood had already taken the lead: launching tokenized stock trading in Europe, 24/5 futures trading, cryptocurrency interest-earning services, and planning to launch the social trading feature Robinhood Social in 2026.

The mainstream discourse on platform X interprets this trend as the evolution of "super apps," but a key point is being missed: this is not merely a simple addition of functions; it is breaking down the boundaries of financial asset categories that were artificially divided due to regulatory and technological limitations.

Why, after a decade of fragmented development, are financial applications now experiencing a wave of integration? What does this mean for the users and platforms involved? Let's delve into the topic.

The Pain Points of Fragmentation

Over the past decade, numerous fintech applications have emerged, but most only cover a single aspect of financial services, with functions like stock trading, cryptocurrencies, payments, and savings scattered across different apps.

While this model provided users with more choices and allowed companies to focus on refining single solutions, it posed significant problems in practical use.

Want to sell stocks and buy cryptocurrencies? Stock trades executed on Monday only settle on Tuesday due to T+1 settlement; then initiating a withdrawal takes 2-3 days for the funds to reach your bank account; transferring funds to Coinbase takes another 1-2 days. From "deciding to reallocate funds" to "funds actually being available," the entire process takes about 5 days. In those 5 days, the investment opportunity you initially spotted might have already vanished, while your funds remain idle in cumbersome processes.

For example, you might want to buy Bitcoin at $86,000 on December 18th, but due to process delays, end up buying it 5 days later at $90,000. For more volatile investment opportunities like meme coins, Initial Coin Offerings (ICOs), or Initial Public Offerings (IPOs), the losses from such delays can be even more severe.

The problem of fragmentation isn't limited to a single region. An Indian investor wanting to buy NVIDIA stock must complete multiple KYC verifications, open an account with a broker that supports Indian users investing in US stocks, and deposit additional funds, all just to buy that one stock.

We've all felt this operational friction, but only recently has the infrastructure capable of solving this problem begun to take shape.

The Cornerstones of Change: Infrastructure Maturation

Three structural changes have made the birth of integrated financial platforms possible.

Tokenization Breaks Time Barriers

Traditional stocks can only be traded during NYSE trading hours (9:30 AM to 4:00 PM ET, 5 days a week), while cryptocurrencies enable 24/7 trading. By achieving stock tokenization on Layer 2 networks, it has been proven that, with the right technical mechanisms, stocks can theoretically be traded around the clock.

Now, Robinhood's tokenized stocks launched in Europe support 24/5 trading, and Coinbase is set to follow this model.

Regulatory Frameworks Become Clearer

In recent years, Bitcoin spot ETFs have been listed successfully, stablecoin legalization processes have advanced, tokenization regulatory frameworks have entered deliberation stages, and prediction markets have gained approval from the U.S. Commodity Futures Trading Commission (CFTC). Although the regulatory environment is not perfect, it is clear enough for platforms to confidently develop multi-asset products without fear of being completely shut down.

Mobile Wallet Infrastructure Matures

Embedded wallets can now seamlessly handle complex cross-chain operations. Platforms like Privy, acquired by Stripe, allow users to create wallets using existing email addresses without dealing with seed phrases; the recently launched crypto trading app Fomo enables non-crypto users to trade tokens on Ethereum, Solana, Base, Arbitrum, and other chains without manually selecting networks, and supports Apple Pay deposits. The backend automatically handles all complex processes—users simply click "Buy Token" to complete the transaction.

The Core Logic of Liquidity Integration

The core driver behind this change is: funds scattered across different applications are essentially idle capital.

In an integrated model, users only need to maintain a single account balance: after selling stocks, funds can be instantly used to buy cryptocurrencies, eliminating the wait for settlement windows, withdrawal review periods, and intermediaries like banks. The 5-day opportunity cost vanishes entirely.

Platforms that integrate liquidity are more efficient. With deeper liquidity pools, they can offer better execution speeds; since all trading pairs share the same underlying liquidity, they can support more pairs; they can provide yield on idle capital, like banks; furthermore, reduced friction leads to increased user trading volume, generating more fee income for them.

Coinbase's Integration Blueprint

Coinbase is the most typical case in this wave of financial integration. Founded in 2012, the company started as a simple cryptocurrency exchange, only supporting the buying and selling of Bitcoin and Ethereum. In the following years, Coinbase gradually added institutional custody, staking services, and cryptocurrency lending interest-earning products, evolving into a full-service crypto platform by 2021.

Its expansion didn't stop: it launched the Coinbase Card for cryptocurrency spending, the Coinbase Commerce payment solution for merchants, and built its own Layer 2 blockchain, Base.

The new product launch on December 17th marks the full realization of Coinbase's "super app" vision. Now, Coinbase supports 24-hour stock trading, plans to launch Coinbase Tokenize for institutional real-world asset tokenization early next year, has integrated prediction markets through a partnership with Kalshi, launched futures and perpetual contract trading, and integrated Solana ecosystem DEX trading functionality within the app. Additionally, the Base app has expanded to 140 countries and enhanced the social trading experience.

Coinbase is gradually becoming the operating system for on-chain finance. Through a single interface and a single account balance, it covers trading needs for all asset classes, aiming to allow users to complete all financial operations without leaving the platform.

Robinhood is following a similar development path: starting with commission-free stock trading, gradually adding cryptocurrency trading, a Gold subscription service offering 3% cashback and 3.5% deposit interest, futures trading, and subsequently launching tokenized stocks in Europe.

Both platforms are betting on the same core logic: users don't want to download different apps for stocks, cryptocurrencies, and derivatives; they need a single account balance, a unified interface, and the ability to instantly reallocate funds.

Social Trading: An Emerging Differentiated Competency

Asset integration solves the liquidity problem but does not solve the user's asset discovery challenge.

When there are millions of assets available in the market, how should users filter trading targets? How should they build their investment portfolios?

This is where social features add value. Coinbase's Base app includes a dynamic feed where users can see others' buy actions; Robinhood plans to launch Robinhood Social in 2026; eToro has offered social trading since 2007, paying copy traders 1.5% of the assets held as commission.

A batch of apps exploring social trading features has also emerged in the on-chain space, such as Fomo, 0xPPL, and Farcaster. These apps allow users to see what their friends are investing in, follow them, and copy their trades.

Fomo's leaderboard page

Social trading allows users to see others' trading behavior in real-time and copy it with one click. This significantly reduces decision-making friction: no independent research, just follow trusted trading strategies. Once a platform forms a stable community ecosystem—where users follow trading experts and build personal reputations—users become less likely to migrate to other platforms, creating a powerful competitive barrier and user stickiness for trading apps.

Centralized exchanges have offered copy trading since 2022, but usage rates have remained below 2%. Mobile app platforms are betting that optimizing the user experience will increase the adoption of this feature. Whether their judgment is correct will determine if social trading becomes a true differentiated competency or just another ordinary feature.

The Pessimistic View: Potential Risks and Controversies

Let's be frank about the current situation: the original intention of cryptocurrency was to achieve financial decentralization, remove intermediaries, and let users control their assets.

And now, we are rebuilding centralized platforms: Coinbase controls asset custody, trade execution, and social graphs; Robinhood holds the private keys for embedded wallets; users need to trust the platform's solvency, security, and ongoing operational capability. All this implies counterparty risk.

Robinhood's tokenized stocks are essentially derivatives tracking stock prices, not actual stocks. If the platform collapses, what users hold is merely an IOU.

Problems caused by gamification are also worsening: 24/7 trading means you might make impulsive trades at 3 AM; social feeds can induce FOMO when you see others profiting; push notifications alert you to every market fluctuation. This is essentially scaled casino psychology, meticulously optimized by designers who understand how to trigger dopamine responses.

Is this progress in financial democratization, or just a repackaged exploitative system? This is a philosophical question worth pondering.

The Essence Behind the Phenomenon

We spent a decade deconstructing financial services, operating under the assumption that fragmentation would foster competition and bring more choices.

But it turns out that fragmentation also caused inefficiencies: idle funds, dispersed liquidity, and users forced to hold more idle capital due to cumbersome fund transfer processes. The new era is changing this.

Coinbase and Robinhood are gradually becoming new types of banks: they hold your salary, savings, investments, and spending patterns; they control trade execution, asset custody, and access; they介入 (intervene in) every transaction. The only difference from traditional banks is: a more beautiful interface, 24/7 trading markets, and deposit rates 50 basis points higher.

Whether we are achieving financial democratization by lowering barriers and improving efficiency, or merely changing the gatekeepers while keeping the barriers themselves, the era of fragmentation is over. In the coming years, we will witness whether financial integration based on open underlying technology can yield better results than the traditional banks we once fled, or if it merely changes the logo that locks users in.

Trending Cryptos

Related Questions

QWhat are the three major structural changes that have enabled the emergence of integrated financial platforms?

AThe three major structural changes are: 1) Tokenization breaking down time barriers, allowing for 24/7 trading of assets like stocks. 2) A clearer regulatory framework, with approvals for Bitcoin ETFs, stablecoins, and prediction markets. 3) The maturation of mobile wallet infrastructure, enabling seamless cross-chain operations and simplified user experiences.

QAccording to the article, what was the core problem with the fragmented fintech landscape of the past decade?

AThe core problem was inefficiency and opportunity cost. Moving money between different apps for different asset classes (e.g., selling stocks to buy crypto) could take up to 5 days due to settlement times, bank transfers, and platform delays, causing users to miss out on time-sensitive investment opportunities.

QHow does the article describe the core competitive advantage of platforms like Coinbase and Robinhood in their new integrated model?

ATheir core competitive advantage is the consolidation of liquidity into a single account balance. This eliminates the friction of moving funds between apps, allows for instant reallocation of capital across asset classes, provides better execution speeds from deeper liquidity pools, and enables them to generate yield on idle capital like a bank.

QWhat role does 'social trading' play in the evolution of these financial super apps, as outlined in the text?

ASocial trading addresses the 'asset discovery' problem by allowing users to see what others are buying and to copy their trades. It reduces decision-making effort, builds community and user loyalty, and creates a powerful competitive moat for platforms that successfully implement it.

QWhat is the main philosophical concern or 'pessimistic perspective' raised about these new integrated platforms?

AThe concern is that these platforms are rebuilding centralized systems, contradicting crypto's original ethos of decentralization. Users must trust the platform's solvency, security, and ongoing operation, introducing counterparty risk. Furthermore, features like 24/7 trading, social feeds, and notifications are seen as gamification that exploits behavioral psychology, potentially creating a more efficient system for exploitation rather than true democratization.

Related Reads

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

Ethereum Q1 2026 Report: Fees Down, Users & Transactions Hit New Highs Token Terminal's Q1 2026 report on Ethereum presents a pivotal development: the network achieved record highs in monthly active users (13.2M, +85.9% YoY), total transactions (200.4M, +81.5% YoY), and throughput (25.78 TPS), while transaction fees on the mainnet plummeted by 47.9% quarter-over-quarter. This shift is attributed to the network's strategic move into a "low fees for scale" phase, exemplified by the Fusaka upgrade which increased data capacity and lowered block space costs, releasing pent-up demand (a manifestation of Jevons's Paradox). The report highlights a core narrative shift for Ethereum: from a DeFi-centric blockchain to a global financial settlement layer. It maintains a dominant position in tokenized assets, holding majority market shares among top chains in stablecoins (61.8%), tokenized funds (73.0%), and tokenized commodities (84.0%). Growth in tokenized funds (+73.1% YoY) and commodities (+325.9% YoY) was particularly strong, driven by institutions like BlackRock and JPMorgan entering the space. Contrasting these usage gains, several USD-denominated value metrics declined in Q1: fully diluted market cap fell 30.3% QoQ, total value locked (TVL) dropped 11.0%, and ecosystem transaction volume decreased 24.0%. The report interprets this as Ethereum prioritizing long-term network expansion and cementing its role as the default settlement layer for finance over short-term fee capture. The commentary from Etherealize argues that, much like the early internet, Ethereum's open, permissionless model is poised to win over closed alternatives as institutional tokenization accelerates.

marsbit58m ago

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

marsbit58m ago

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

Pete Florence, a former senior research scientist at Google DeepMind and a key contributor to the Vision-Language-Action (VLA) model architecture, is deliberately distancing his startup, Generalist AI, from the trendy "world model" label. He argues that the industry should prioritize concrete goals over buzzwords. His goal is to create robots that can perform a vast range of unseen tasks with high speed and success rates, without needing task-specific training data. Recently, his company raised $400 million (¥2.7 billion) at a $2 billion valuation. Notable investors include NVIDIA's NVentures, Bezos Expeditions, NFDG, as well as Xiaomi co-founder Lin Bin, Zoom founder Eric Yuan, and renowned AI scientist Fei-Fei Li. Florence's approach stems from his academic background at MIT under Professor Russ Tedrake, focusing on understanding the physical world. After joining DeepMind, he developed models like Transporter Network and co-created the VLA framework. He left in 2025 to found Generalist AI. The company has launched two models: GEN-0, which demonstrated that scaling laws apply to physical motion, and GEN-1. GEN-1 was trained on over 500,000 hours of physical interaction data collected via a specialized wearable device. It achieves a 99% success rate on precise mechanical tasks like folding boxes and maintains performance three times faster than its predecessor. Florence believes GEN-1 is reaching a commercial utility threshold similar to the GPT-3 inflection point. The substantial funding round, following GEN-1's release, signifies strong investor confidence in Generalist AI's practical, goal-driven path to creating versatile, useful robots, regardless of the "world model" terminology.

marsbit1h ago

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

marsbit1h ago

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

marsbit3h ago

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

marsbit3h ago

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps. His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension. Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.

marsbit3h ago

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

marsbit3h ago

Trading

Spot
Futures

Hot Articles

How to Buy SUPER

Welcome to HTX.com! We've made purchasing SuperFarm (SUPER) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy SuperFarm (SUPER) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your SuperFarm (SUPER)After purchasing your SuperFarm (SUPER), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade SuperFarm (SUPER)Easily trade SuperFarm (SUPER) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

5.3k Total ViewsPublished 2024.03.29Updated 2026.06.02

How to Buy SUPER

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of SUPER (SUPER) are presented below.

活动图片