US stocks opened mixed, with the Dow up 0.39% and the Nasdaq down 0.02%. AI concept stocks broadly declined, led by Palo Alto Networks (-5.61%), Palantir (-2.85%), Snowflake (-2.81%), Marvell (-2.52%), and CrowdStrike (-2.52%). MSX, a leading RWA trading platform, has listed hundreds of RWA tokens including NVDA, GOOGL, and other popular stocks.

Solana's tokenized stock supply has reached an all-time high, with $60 million worth of tokenized stocks deposited into on-chain lending protocols, also a record. By the number of holding addresses, tokenized Nvidia shares (NVDAx) and the S&P 500 ETF (SPYx) are leading the list, according to SolanaFloor.

ChainFeeds’ Sept. 2 research briefing pulled together several market threads that are increasingly overlapping across crypto and traditional finance. A large part of the discussion focused on Robinhood Chain, where activity around Lighter, PONS, stock tokens and meme-coin launchpads is creating multiple, separate paths for value capture rather than a single native-chain bet. The report also examined how offshore perpetual products tied to Korean equities have expanded rapidly, with cumulative volume from February to August 2026 reaching about KRW 307 trillion and August alone hitting KRW 166 trillion. Another section argued that parts of the crypto market may now offer an attractive selective buying window, especially for assets whose prices have collapsed while fundamentals have held up better. The final piece looked at a new onchain experiment in which meme coins are being paired directly with tokenized U.S. stocks such as NVDA, TSLA, SPY and HIMS, creating liquidity pools that some traders hope could tighten available tokenized supply. Taken together, the briefing shows a market paying closer attention to infrastructure, fee capture, tradable tokenized exposure and the conditions under which capital may return to digital assets.

Robinhood Chain has posted rapid growth in its first two months, with 463 million cumulative transactions, 12.08 million active wallets, $52 billion in DEX volume, and nearly 594,000 meme-token trading targets on-chain. But the surge in activity has also pushed transaction costs sharply higher. According to the source article, total gas paid on the chain has reached 4,274 ETH, while DefiLlama data shows daily gas spending rose from about $56,000 on Aug. 23 to roughly $3.75 million on Sept. 1. The article argues that the chain’s cost structure now weighs heavily on short-term memecoin traders. Robinhood Chain, an Arbitrum-based Layer 2, combines L2 execution fees with L1 data fees tied to Ethereum congestion and calldata size. On top of that, launchpad and token-level fees can materially raise the real cost of trading. Using a microduck example, the piece estimates that a trader buying $1,000 worth of the token and later selling after a 50% gain would give up about $62.7 in total transaction costs, reducing a theoretical $500 profit to $437.3. Against that backdrop, the article says liquidity provision is becoming a more attractive alternative. It highlights several RH-native pools and protocols with elevated APRs, while also noting that some traders are using high-fee Uniswap v4 pools to monetize meme-driven volatility.

TechFlowPost has highlighted four Dune dashboards that active traders are using to track Robinhood Chain, a network that has recently drawn heavy attention from token launch platforms and the "U.S. stock-mapped Meme" narrative. The article, written by David, argues that in an environment where thousands of new tokens can appear within a day, dashboard data has become a practical filter for distinguishing hype from actual capital formation. The first dashboard focuses on network-wide liquidity, including total value locked, stablecoin market cap, and tokenized real-world assets. TechFlowPost cited current figures of roughly $1.23 billion in TVL, about $826 million in stablecoins, and around $83 million in RWA tokenized assets, while also pointing to Morpho and stock token mint-and-burn data. A second dashboard tracks Ponsfamily, showing more than 586,000 created tokens, roughly $4.93 million in protocol revenue, and about $27.7 million in creator earnings. The remaining two dashboards examine Robinhood Chain’s more specific trading structure: RWA-paired Meme activity across launchpads and the so-called trenches, where bot activity, top traders, and the most traded tokens can be monitored. TechFlowPost said traders should use these dashboards to verify whether money is actually entering the chain, identify which RWA-linked narratives are attracting volume, and watch how smart-money wallets and trading bots are shaping execution conditions.

Long.xyz, an issuance platform on Robinhood Chain, said its tokenized stock trading volume on-chain exceeded $425 million over the past 24 hours. The platform also said stock total value locked, or TVL, is now close to $12 million, accounting for about 20% of all stock TVL on the chain. According to the announcement, Long.xyz lets users issue meme tokens and pair them directly against tokenized equities such as NVDA, AAPL, and TSLA, instead of using USDC or ETH as the quote asset. The platform said that design is intended to bring trading volume and liquidity to tokenized stocks.

Long.xyz, an issuance platform on Robinhood Chain, announced that tokenized stock trading volume for LONG exceeded $425 million in the past 24 hours. Stock TVL stands at nearly $12 million, representing about 20% of all on-chain stock TVL. The platform allows users to issue Meme tokens and pair them directly with tokenized stocks like NVDA, AAPL, and TSLA.

Nvidia (NVDA.O) is reportedly in advanced negotiations to acquire AI startup Hugging Face for approximately $14 billion, according to sources familiar with the matter. The deal might be finalized as early as this week, with a potential $1 billion employee retention plan included. However, the agreement is not yet final, and terms could still change. The acquisition would strengthen Nvidia's position in the AI ecosystem, adding Hugging Face's popular open-source platform for machine learning models. The talks underline the strategic importance of AI infrastructure amid rising demand for computing power. Both companies have declined to comment officially, but insiders suggest the deal structure may involve a $12.9 billion upfront payment plus the retention bonus. Market analysts view the potential acquisition as a major consolidation in the AI space, reflecting Nvidia's push to expand beyond hardware into software and community platforms. The outcome remains uncertain, with regulatory scrutiny and shareholder approval potentially impacting the timeline.