Pyth has been approved as an external distributor of Nasdaq Basic, allowing Nasdaq’s real-time U.S. equity quote and trade product to be distributed through the Pyth Data Marketplace.

Nasdaq Basic provides real-time top-of-book data across all U.S. exchange-listed securities, including best bid/offer and size, last sale price and size, plus Nasdaq Official Opening and Closing Prices.

The product is already used by brokerages, banks, fintech platforms and consumer investing apps that need real-time U.S. equity data without the cost structure of consolidated alternatives.

Through Pyth’s Data Marketplace, software and blockchain-native applications can access Nasdaq Basic through a single distribution channel, while Nasdaq retains attribution and commercial control. Clients must receive prior written approval from Nasdaq before consuming the market data feed.

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CME Group plans to launch Bitcoin Cash (BCH) and Uniswap (UNI) futures on October 19, pending regulatory review, expanding its regulated crypto derivatives suite.

The cash-settled contracts would give institutions hedged exposure to two more tokens alongside CME's existing Bitcoin and Ether products. CME has steadily broadened its crypto lineup as banks, funds and trading firms seek regulated venues to manage digital-asset risk.

The move underscores how the largest US derivatives exchange keeps deepening its crypto shelf, pulling altcoins like BCH and UNI into the same regulated, centrally-cleared framework long used for its flagship Bitcoin futures.

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Arthur Hayes argues that the recent “Safety First” narrative from major US AI labs could have significant implications for credit markets and global liquidity. In his latest essay, Hayes claims that weaker AI compute demand could pressure the debt financing behind data centers, private credit and captive insurance structures.

• AI labs currently support over $1T of investment-grade debt and hundreds of billions in lower-quality debt and loans

• Hayes cites an estimated $1.54T in captive reinsurance assets, based on research from Nick Nameth

• US banks have created over $100B of additional money since August 14

• Hayes expects continued monetary expansion to support Bitcoin and selected crypto assets

Hayes outlines two potential responses if AI compute demand falls: the US government could become a buyer of compute through long-term offtake agreements, or financial authorities could provide liquidity if AI-related debt begins impairing insurance-sector balance sheets. He argues that either path could ultimately increase the amount of money circulating in the financial system.

His broader thesis is that the combination of AI infrastructure debt, private credit exposure and potential government support creates a setup where additional liquidity could eventually flow into risk assets.

Hayes concludes that the current choppy crypto market could give way to higher Bitcoin and selected altcoin prices if dollar liquidity continues expanding.

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CatchBack has raised an $8M seed round led by Foundation Capital, with Y Combinator, Robinhood Ventures, Coinbase Ventures and the Solana Foundation joining, to scale its verifiable digital trading-card marketplace.

The San Francisco startup, founded by Joseph Zhang, builds digital mystery packs backed by physical cards, with real-time card trading and instant buybacks. The lineup pairs a veteran Silicon Valley seed fund with fintech and crypto heavyweights across Robinhood, Coinbase and Solana.

The raise underscores growing investor appetite for bringing collectibles onchain, where verifiable ownership and instant liquidity aim to modernize a trading-card market long run on physical scarcity and slow resale.

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Arkham has launched Tracer v2, its upgraded tool for following fund flows through bridges and across chains, letting anyone start from an address and trace where the money goes hop by hop.

Users pull any address's counterparties onto Arkham's network map and follow transfers step by step, keeping the trail intact even after funds move across bridges between blockchains, a common blind spot for onchain investigators chasing hacks and laundering.

The release deepens Arkham's push to make cross-chain money movement legible, positioning Tracer v2 as a go-to for analysts, journalists and compliance teams mapping how funds travel between ecosystems.

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Binance has bought a $100 million equity stake in Circle, the USDC issuer, purchasing 1,237,011 new Class A shares at $80.84 apiece, a discount to Circle's market price, according to an SEC filing.

The share sale closed on September 17 alongside a new five-year commercial deal under which Circle pays Binance a monthly incentive fee to promote USDC held through Circle's Modular Smart Contract Wallet infrastructure. The arrangement supersedes the companies' earlier November 2024 and August 2025 agreements, and either side can exit early on certain triggers.

The tie-up deepens the relationship between the world's largest crypto exchange and the second-biggest stablecoin issuer, giving Binance a direct equity interest in the company whose USDC it distributes across its platform.

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Shyft has welcomed the Blockchain Center Abu Dhabi to its Strategic Global Council, adding UAE policy, institutional and vault-curation expertise as the onchain-wealth protocol accelerates its global expansion.

The Blockchain Center Abu Dhabi advances digital-asset initiatives alongside UAE federal entities, connecting innovation with regulators and institutional capital in one of the world's most ambitious markets. The Council brings that policy and institutional weight to Shyft as it scales its vault products internationally.

The appointment lands as Shyft nears pre-deposits for shCORE and shYIELD, its first two Ethereum-based vaults, and follows its recent tie-up with VARA-licensed GAP3, deepening the protocol's footprint in the UAE's fast-growing digital-asset hub.

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Ondo now lets approved institutions mint Ondo Stocks directly from shares they already hold, using Alpaca's Instant Tokenization Network.

To mint, an institution transfers underlying shares from its Alpaca account into Ondo's Alpaca account via an internal book transfer, and the matching Ondo Stocks tokens are issued on-chain. Redemption reverses the flow, returning the shares in exchange for the tokens.

By converting existing share inventory straight into on-chain supply, the in-kind route is designed to tighten spreads and deepen liquidity for Ondo Stocks across secondary markets.

Institutions can tokenize a portfolio with a single API call and no settlement delay, with the feature already live on Ethereum and BNB Chain, part of Ondo's push to build out on-chain access to US equities.

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GMGN has launched the public beta of its perpetual futures product, pushing one of the largest meme coin trading platforms into leveraged derivatives.

GMGN's Haze said the beta already supports markets including BTC, ETH, SOL and ZEC against USDC, with liquidity provided by third-party market makers. Fees are set at 0.045% for takers and 0.015% for makers.

GMGN is also offering a 3.5% annualized return on account balances and plans to roll out promotional trading credits for perpetuals during the beta.

The move carries GMGN beyond its meme coin roots into the crowded perpetual DEX arena, where it will compete with established venues for derivatives flow while leaning on its existing base of meme coin traders.

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xAI has launched Grok 4.7, its most capable model for coding and knowledge work, pitched as twice as fast at half the price of comparable frontier models.

Grok 4.7 is priced at $2 per million input tokens and $6 per million output tokens through the xAI API, undercutting most Western frontier models. xAI says it is built on a larger base model, trained with longer reinforcement learning, and tuned to better verify its own output.

The model is live across Cursor, the xAI API and third-party coding harnesses, model routers and cloud platforms, and is rolling out in GitHub Copilot for Pro, Pro+, Max, Business and Enterprise subscribers.

The release leans hard on price as xAI's main lever against OpenAI and Anthropic, betting that cheaper, faster inference can win developer workflows even where raw benchmark scores still trail the top frontier models.

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