Samsung Electronics and SK Hynix both notched their largest single-day gains on record.

Morgan Stanley's Michael Wilson said the S&P 500 correction may be nearing its end, with U.S. stocks likely positioning for a year-end rally. The U.S. benchmark index is approaching its downside target range of 7,100 to 7,300 points and is expected to rebound from this zone, Wilson noted. "Instead of waiting for a perfect bottom, we recommend increasing exposure to high-quality cyclical stocks in the coming weeks, as these stocks have seen their valuations adjust significantly while delivering strong earnings per share performance," Wilson wrote.

Arkham officially announced in a post that it has added position tags for multiple crypto funds under existing entities, covering roughly $3 billion in Bitcoin and other crypto assets. The newly tagged assets include approximately $1.52 billion in CoinShares’ BITC Bitcoin physical ETP, around $507.2 million in VanEck’s VBTC Bitcoin ETN, about $266.6 million in Invesco’s BTIC Bitcoin physical ETN, and roughly $125.9 million in Grayscale Solana Trust.

According to official announcements, OKX Wallet will be the first to support the Elysium mainnet, with integration set to launch immediately after the Elysium mainnet goes live. Users can manage and transfer Elysium on-chain assets via OKX Wallet in a one-stop manner, and access functions including block explorer, market analysis, trading, and cross-chain operations—completing the entire workflow from asset discovery, market analysis to trading without switching between multiple platforms. It is reported that Elysium is an EVM-compatible Layer 2 network developed by Kinetiq for the Hyperliquid ecosystem, and is scheduled to officially launch its mainnet at 21:00 HKT on November 9.

Stablecoin payments startup Raycash, spun off from privacy protocol Zama, has launched on the Ethereum mainnet and is currently in private beta. Raycash states that over 75,000 people joined its waitlist ahead of the launch; access will be rolled out in batches during private testing, with full public access to follow. Built on the Zama protocol, Raycash uses fully homomorphic encryption (FHE) to encrypt on-chain balances and transaction amounts. Users can wrap stablecoins 1:1 into tokens compliant with the ERC-7984 confidential token standard for payments and receipts, and earn yields via Morpho, with transaction amounts and balances kept private. The underlying stablecoins can be retrieved via permissionless unwrapping. The app initially supports USDC, allowing deposits via bank transfers, debit cards or stablecoins, and withdrawals to bank accounts. Ethereum gas fees are handled by the platform in the background, so users do not need to hold ETH. Raycash adds that its wallet is non-custodial; confidential tokens have no built-in freeze or seizure functionality at the token level, and users can grant view permissions to specific parties like accountants or auditors. Additionally, a Raycard for privacy-focused spending is in development.

Deutsche Bank and Ant Digital Technologies jointly published the whitepaper *Agentic Payments in Wholesale Finance* on November 9, exploring the application potential of AI Agents in areas including institutional fund management, cross-border payments, and trade finance, along with corresponding governance and risk control frameworks. The whitepaper points out that AI Agents could autonomously predict liquidity gaps, evaluate fund allocation and foreign exchange transaction plans, coordinate cross-border payment routes, process trade finance documents, identify data discrepancies, and generate payment instructions. Such applications are expected to enhance the automation level and operational efficiency of financial institutions’ complex businesses. For risk control, the whitepaper advocates the "Bounded Agentic Execution" model instead of granting AI unlimited autonomy, and proposes a reference architecture consisting of three layers: intent and orchestration, control and authorization, and settlement execution. Core safeguards include clear and revocable permission boundaries, verifiable agent identities, and the Know Your Agent (KYA) verification mechanism. It also lists Ant Digital Technologies’ self-developed agent platform Anvita Flow as a practical application case.

Dongcha Beating AI News reports that ByteDance has released its next-generation image model Seedream 5.5, which supports up to 100 rounds of continuous edits on a single image and can directly generate transparent background assets. ByteDance showcased a demo of 100 rounds of continuous editing: centered on the same character, each round builds on the previous image to alter clothing, glasses, rings, and desktop items. After repeated edits, the character retains its original features, and the model can accurately adjust small details like rings and frames. The company states the new version keeps unmodified areas pixel-consistent, avoiding past issues of increasing distortion and color bias with edits. Another new feature is native RGBA transparent asset generation: for example, when generating a snowy owl with spread wings, the result comes with a transparent background, even handling tiny gaps between feathers. These assets—including stickers, text graphics, and product materials—can be directly added to posters or design drafts, eliminating manual matting steps. Generation quality has also improved: the new version reduces issues like overly smooth skin, greasy visuals, and local overexposure in portraits, and can generate more complex Chinese text and dense small characters. According to ByteDance’s internal tests, the severe text corruption rate dropped to 0.4%, and the minor text corruption rate is 1.7%. The usability of results for film and office scenarios is over twice that of the previous Seedream 5.0 Pro. Seedream 5.5 is now rolling out on Jidream, Doubao, Doubao Work, and Volcano Engine, with a Pro version set to launch later.