Weekly Data Recap: S&P Pantera Index Launches, Robinhood Chain Volume Climbs to Top 4

marsbitPublished on 2026-07-27Last updated on 2026-07-27

Abstract

Weekly Data Recap: S&P Pantera Index Launches, Robinhood Chain Volume Ranks Fourth This week saw a mixed performance for risk assets amidst internal reshuffling. Bitcoin closed slightly down at $64,444, while Ethereum gained 0.6%. A key development was the launch of the S&P Pantera Digital Assets Index (SPPDA), co-created by S&P Dow Jones Indices and Pantera Capital. This 18-token benchmark index, powered by Artemis's revenue and supply data, filters for protocols with actual revenue and weights constituents by market cap. Notably, Bitcoin and XRP were excluded due to the revenue requirement. Meanwhile, Robinhood Chain, an Arbitrum Orbit L2 launched on July 1st, surged to become the fourth-largest chain by DEX volume with $4.7B weekly trading. However, analysis reveals a gap between its intended purpose and current reality. While marketed for tokenizing real-world assets (RWAs) like stocks, the chain is currently dominated by memecoin trading, accounting for ~75% of DEX volume. Robinhood's own stock tokens represent only 4.2% of the chain's $595M TVL, with 70% locked in third-party protocols like Morpho and Ethena. Uniswap commands a near-monopoly (98%) on the DEX layer. The launchpad pons.family captured most activity, generating fees roughly five times the chain's total gas fees. Robinhood currently earns basic transaction fees, while third-party applications capture significant economic value, illustrating a "fat app, skinny chain" dynamic. Other notable developments in...

Author: Artemis Analytics

Compiled by: Deep Tide TechFlow

Deep Tide Intro:S&P and Pantera launched the first crypto index screened based on protocol revenue, with Artemis providing data support. While Robinhood Chain's DEX trading volume has climbed into the industry's top four, the reality is: 70% of its TVL comes from Morpho and Ethena, stock tokens account for only 4.2%, and the memecoin casino still contributes 75% of the trading volume. This chain, which was meant for RWA tokenization, is currently being monetized by third-party protocols, with Robinhood only earning basic fees.

Market Overview

Risk assets traded sideways, but internal structure adjusted sharply. Bitcoin closed at $64,444, down 0.7%. Ethereum rose 0.6%.

The six-week outflow streak for ETFs finally stopped:

Spot Bitcoin ETFs: Net inflow of $75.5 million from July 13–17, net inflow of $33.9 million from July 20–24
Total Bitcoin ETF AUM: $78.9 billion
Ethereum ETFs: Net inflow of about $104 million per week over the past two weeks

The real repricing happened in the interest rate market. The probability of a Fed rate hike on July 28–29 surged from 10.7% on July 15 to nearly 35% by July 22, almost entirely due to Brent crude approaching $100 driven by Iran conflict.

Chart: Weekly asset price performance, cryptocurrencies mixed vs. stocks/ETFs, eq-DELL leads gains at ~10%. Source: Artemis

Unlike last week, semiconductor stocks rebounded. Dell (+10.4%) and Micron (+8.5%) led gains, a sharp reversal for memory chips after Micron plunged 28% from its June high. Nvidia (+2.0%) outperformed its anchor index, the Nasdaq 100 (-1.5%). DeFi continued its rise, with UNI (+2.9%) and AAVE (+2.3%).

Crypto stocks were mixed. Circle (+3.2%) was the only stock with material gains. Coinbase (+0.75%) gave back all of its 9.6% gain from July 21 driven by the CLARITY Act.

The hardest hit were retail fintech stocks: SKY (-6.2%), HOOD (-5.0%) and SOFI (-4.8%), with HYPE (-3.5%) following closely. Bitcoin (-0.7%) and major indices barely moved (SPY -0.5%, Dow -0.3%).

A basket of stocks averaged a gain of 0.41%, median +0.18%.

S&P Pantera Digital Asset Index Launches, Powered by Artemis Data

S&P Dow Jones Indices and Pantera Capital launched the S&P Pantera Digital Asset Index (SPPDA) on July 20th.

This is an 18-token benchmark index that screens for projects with protocol revenue from the S&P Crypto Broad Digital Asset Index, then weights them by market cap.

Artemis provides revenue classification, circulating supply, and total supply data. Lukka provides pricing.

The top five component tokens by weight are ETH, BNB, SOL, TRX, and HYPE.

Chart: S&P Pantera Digital Asset Index (SPPDA), powered by Artemis revenue data, screened by protocol revenue, weighted by market cap. Source: Artemis

Both Bitcoin and XRP fail the revenue test outright. For scale: XRP's entire 14-year history of burned fees totals about $16 million, while the 18 selected tokens generate over $3 billion in revenue annually.

S&P is positioning this index carefully. The methodology calls protocol revenue an "objective, rules-based indicator of economic activity" and explicitly states it does not imply investment return or cash flow.

Simply put, revenue determines which tokens make the cut, market cap determines how much you hold. So if you read the headlines and thought this was a way to hold the biggest earners in crypto, you'd be wrong.

Additionally, tokens need at least 30% of supply actually circulating to qualify, quietly weeding out projects whose valuations are built on locked-up tokens.

This rule runs on Artemis's circulating supply data and hasn't been reported on yet. The first component rebalance will be determined on the third Friday of August, effective September 18th.

Robinhood Chain: What's Actually Happening

Let's be clear on what Robinhood Chain is, because most people skipped that part.

Robinhood Chain is an Arbitrum Orbit L2, meaning Robinhood rents Ethereum's security and runs its own cheap, fast transaction layer on top of it. It launched on July 1st.

The pitch was tokenizing real-world assets: putting stocks, ETFs, and private equity on-chain. Robinhood's customers could trade them 24/7, including in places where they can't open a US brokerage account. What actually launched was a memecoin casino, and what's happening now is that casino slowly turning into what it was supposed to be (RWA tokenization).

Just last week, we showed Robinhood Chain becoming a leading chain for DEX volume on a peak day. For the full week of July 18–25, it ranked fourth at $4.7 billion, behind BSC, Ethereum, and Base, ahead of Solana.

Chart: DEX Volume Ranking by Chain for July 18–25, Robinhood Chain ranks fourth at $4.7B, behind BSC, Ethereum, Base. Source: Artemis

Activity on Robinhood Chain:

Chart: Robinhood Chain Activity Metrics – DEX daily volume ~$500M, daily active users ~250K, monthly active users 2.1M. Source: Artemis

DEX volume averaging ~$500 million daily
Daily Active Users averaging ~250,000
Monthly Active Users hit a new ATH of 2.1 million
About two-thirds of DAUs are returning users
Transaction count averaging ~6 million daily
Fees averaging ~$200,000 daily

Most of the Money on Robinhood Chain Isn't Robinhood's

As of July 25th, TVL was $595.1 million, a massive jump from almost zero in mid-June. The composition is key:

Morpho: $236.2 million
Ethena: $177 million
Uniswap: $48.3 million
Maple: $48.1 million
Lighter: $25 million
Robinhood Stock Tokens: $24.7 million

Morpho and Ethena together account for 70% of the on-chain money. Robinhood stock tokens make up only 4.2%.

Chart: Robinhood Chain TVL Composition as of July 25, Morpho + Ethena account for 70%, Robinhood stock tokens only 4.2%. Source: Artemis

Uniswap Has a Complete Monopoly on the Trading Layer

Of the $397.4 million in DEX volume on July 25th:

Uniswap V3: $251.9 million
Uniswap V4: $80.1 million
Uniswap V2: $58.4 million
All other protocols combined: less than $7 million

That's 98% Uniswap. Arcus, PancakeSwap, and all forks on-chain share the remainder.

Chart: DEX Volume by Liquidity Share on July 25, Uniswap V3 63.4%, V4 20.1%, total 98%. Source: Artemis

Memecoins still account for the majority of all DEX volume:

Memecoin pairs: $297 million (74.7%)
Ethereum: $64.2 million (16.1%)
Robinhood stock token pairs: $36 million (9.1%)
Protocol token pairs: $219.6K (0.1%)

One Launchpad Accounts for Most of the On-Chain Activity

On July 25th, pons.family accounted for:

$99.7 million out of $155.8 million in launchpad volume (64%)
1.3 million out of 1.6 million launchpad transactions (81%)
11,200 out of 17,600 tokens deployed (64%)

The second-largest platform, Bankr, did $13.1 million.

Over seven days, pons.family generated $7.86 million in total fees on $826 million in volume. Total gas fees for the chain in the same period were about $1.51 million.

The application layer revenue was about five times that of the L2.

Chart: Launchpad Volume Distribution, pons.family accounts for 64% of launchpad volume and 81% of transactions. Source: Artemis

What It Was Built For: Small, Growing Fast, Broader Than Stocks

Total on-chain tokenized market cap is $24.8 million:

Stocks: $19.1 million
Private Equity: $1.9 million
ETFs: $1.5 million
Commodities: $1.2 million
US Treasuries: $800,100

That's up about 4.5x from about $5.5 million on June 29th, in less than a month. Tokenized equity holders grew from 29,407 to 48,470 in five days. Stock token pairs now account for 9.1% of DEX volume, averaging $36 million daily, compared to 74.7% for memecoins.

Chart: Total On-Chain Tokenized Market Cap by Category, Stocks lead at $19.1M, total $24.8M. Source: Artemis

Robinhood built the distribution channel. Third parties capture the economic upside. Morpho and Ethena hold deposits. Uniswap clears trades. Pons.family takes fees. Robinhood earns the base fee, annualized to about $78 million.

This is the fat application, thin chain theory with a public company P&L attached.

Chart of the Week

Hyperliquid open interest reached a new all-time high of $11.4 billion on July 24, 2026.

Chart: Hyperliquid Open Interest hits new ATH of $11.4B on July 24. Source: Artemis / Flipside

Ethereum ETFs saw net inflows of about $104 million over the past two weeks, while Bitcoin flows were more volatile.

Chart: Crypto ETF Flows, Ethereum net inflow ~$104M over past two weeks, Bitcoin more volatile. Source: Artemis

Other Notable News

The London Stock Exchange announced LSE 24 on July 21, a 24/5 trading venue with native access for AI agents and on-chain settlement; two days later the SEC announced a September 17th roundtable on 24-hour US equity trading.
Strategy sold $263.5 million of MSTR stock between July 13–19, marking a fourth consecutive week without buying Bitcoin, boosting its dollar reserves to $3.225 billion against ~$1.76 billion in annual preferred stock and interest obligations.
Nine companies including Strategy, BlackRock, Coinbase, and Galaxy pledged $15 million over three years for Bitcoin post-quantum research, with over 7 million BTC in outputs with exposed public keys.
Regulators missed the July 18th rulemaking deadline for the GENIUS Act, with no final rules from any of the six agencies, pushing full implementation to January 18, 2027, while stablecoin supply still grew 18.6% to $308.1 billion.
PayPal's board formally rejected Stripe and Advent's $60.50 per share acquisition offer, hired Goldman Sachs and Evercore, and is seeking a price near $70 ahead of July 28th earnings.
The CLARITY Act still hasn't had a cloture motion filed, with the August 7th recess being the key deadline.

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Agent S: The Future of Autonomous Interaction in Web3 Introduction In the ever-evolving landscape of Web3 and cryptocurrency, innovations are constantly redefining how individuals interact with digital platforms. One such pioneering project, Agent S, promises to revolutionise human-computer interaction through its open agentic framework. By paving the way for autonomous interactions, Agent S aims to simplify complex tasks, offering transformative applications in artificial intelligence (AI). This detailed exploration will delve into the project's intricacies, its unique features, and the implications for the cryptocurrency domain. What is Agent S? Agent S stands as a groundbreaking open agentic framework, specifically designed to tackle three fundamental challenges in the automation of computer tasks: Acquiring Domain-Specific Knowledge: The framework intelligently learns from various external knowledge sources and internal experiences. This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

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