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Today, the focus is on financial data and events, with several important data points to be released on July 30

According to Jinshi, on Thursday, July 30, 2026, the following financial data and events will be of interest: 01:30 Bank of Canada releases monetary policy meeting minutes; 02:00 Federal Reserve FOMC announces interest rate decision; 02:30 Federal Reserve Chair Waller holds a monetary policy press conference; 04:00 Meta, Microsoft, Qualcomm, ARM release Q2 earnings reports; 09:00 Samsung Electronics releases Q2 earnings report and holds an industry performance briefing; 13:30 France's preliminary Q2 GDP year-on-year; 15:00 Switzerland's July KOF Economic Leading Indicator; 16:00 Germany's preliminary Q2 seasonally adjusted GDP year-on-year; 17:00 Eurozone's preliminary Q2 GDP year-on-year; 17:00 Eurozone's June unemployment rate; 17:00 Eurozone's July industrial sentiment index; 17:00 Eurozone's July economic sentiment index; 19:00 Bank of England announces interest rate decision; 19:30 Bank of England Governor Bailey holds a press conference; 20:00 Germany's preliminary July CPI month-on-month; 20:30 U.S. initial jobless claims for the week ending July 25; 20:30 U.S. June core PCE price index year-on-year; 20:30 U.S. June personal spending month-on-month; 20:30 U.S. preliminary Q2 real GDP annualized quarter-on-quarter; 20:30 U.S. preliminary Q2 real personal consumption expenditures quarter-on-quarter; 20:30 U.S. preliminary Q2 core PCE price index annualized quarter-on-quarter; 20:30 U.S. June core PCE price index month-on-month; 22:30 U.S. EIA natural gas inventory for the week ending July 24; the next day at 04:00, Amazon and Apple will release earnings reports.

Bitget releases the rToken institutional cross-asset management guide, with unified accounts supporting over 370 types of collateral assets

Bitget released the rToken Institutional Cross-Asset Capital Management Guide, which details how market makers, hedge funds, quantitative trading firms, prime brokers, and asset management companies can utilize its Unified Trading Account (UTA) to enhance capital efficiency between cryptocurrencies and tokenized U.S. stocks. The guide focuses on portfolio construction and financing strategies, covering core trading scenarios such as cross-asset collateral, dividend arbitrage, and lending structures that balance capital efficiency with risk isolation, providing a practical framework for institutions to optimize multi-asset allocation.Currently, Bitget's Unified Trading Account (UTA) supports over 370 types of collateralizable assets, including 105 types of tokenized U.S. stocks. Eligible crypto assets and tokenized stocks can enter the same margin system, share collateral, and offset margin requirements, helping institutions reduce idle funds scattered across exchanges and brokerage accounts.Bitget CEO Gracy Chen stated that institutions do not lack access to the stock market; the real challenge lies in how to efficiently move funds between different markets. As tokenized assets gradually enter institutional portfolios, managing crypto assets and tokenized stocks under a unified framework will provide more possibilities for risk management and asset allocation.

hot_img Visa and Artemis jointly released the Smart Payment Report: The x402 protocol processed $15 million in transactions in its first year, accelerating the arrival of the AI micro-payment era

Visa and the on-chain data analysis platform Artemis previously jointly released the report "Agentic Payments from the Ground Up," which quantifies the trends of AI agent payments based on real-time on-chain data. The report points out that intelligent commerce should be divided into macro transactions (AI agents completing bookings, subscriptions, etc., adapting to existing card systems) and micro payments (high-frequency small payments between machines, with individual transactions far below $1, which traditional payment structures struggle to support).The report focuses on two "machine-native payment" protocols: x402 (developed by Coinbase, Cloudflare, etc., launching in May 2025) with an adjusted transaction volume of approximately $15 million and 109.6 million transactions as of April 21, 2026, with 422,000 buyers and about 5,300 sellers, primarily concentrated on Base, Solana, and Polygon, settled in USDC; MPP (developed by Stripe and Tempo, with Visa's participation, launching in mid-March 2026) had a transaction volume of approximately $25,000 and 115,000 transactions within 33 days of launch, supporting both on-chain crypto payments and fiat settlements.The report believes that the leap in AI capabilities (with the release of Claude 4.5 and GPT Codex 5.2 in mid-2025) has created a demand for programmatic payments, combined with the decreasing costs of blockchain settlements, making micro payments in the range of 1 cent to 1 dollar economically viable for the first time. Currently, the boundaries between crypto-native protocols and card payment camps are gradually blurring, but agent payments still face trust challenges such as erroneous purchases, adversarial attacks, and liability attribution.

NVIDIA releases quantum computing AI calibration model, promoting the fusion of AI and quantum

NVIDIA released the open-source AI model NVIDIA Ising Calibration 1.5, designed for the automatic analysis of quantum processor (QPU) diagnostic data, and to autonomously determine device calibration schemes, achieving automation of the quantum computer calibration process. NVIDIA stated that Ising Calibration 1.5 is a visual language model (VLM) specifically designed for quantum computing calibration scenarios, capable of understanding experimental data from quantum chips and performing "zero-shot" analysis in the absence of historical cases, while also enabling context learning (ICL) with relevant experimental samples to help continuously optimize the operational state of quantum devices.In the QCalEval quantum calibration benchmark test, Ising Calibration 1.5 averaged about 10% ahead of similarly sized open-source models in zero-shot inference capability, and when using relevant experimental cases for context learning, it showed an approximately 86.5% performance improvement over the previous generation model, surpassing multiple open-source models and approaching the level of top closed-source large models. The model has 31 billion parameters and supports operation on NVIDIA Grace Blackwell and Vera Rubin data center GPUs. It also launched an NVFP4 quantized version, which can be deployed on a single consumer-grade GPU or NVIDIA DGX Spark, significantly lowering the usage threshold for quantum laboratories.NVIDIA claims that the training data for Ising Calibration 1.5 comes from various qubit architectures, including superconducting qubits, quantum dots, ions, neutral atoms, and helium surface electrons, providing calibration capabilities for different types of quantum computing devices. Industry experts believe that automated calibration is one of the key bottlenecks in the scalable development of quantum computing. NVIDIA's launch of this AI-driven quantum calibration tool signifies that AI models are beginning to extend from traditional computing domains into the quantum hardware control layer, potentially becoming an important component of the future quantum computing industry infrastructure.

OKX, in collaboration with Elliptic, SlowMist, and OttoSec, released the Web3 Security and Risk Control Report for the first half of 2026

According to official news, OKX, in collaboration with Elliptic, SlowMist, and OttoSec, has released the "Web3 Security and Risk Control Report for the First Half of 2026." The report points out that the focus of Web3 attacks is gradually shifting from smart contract code to more complex scenarios such as signature processes, user devices, operational infrastructure, and AI Agents.Data shows that in the first half of 2026, the OKX risk control system intercepted over 5.7 million high-risk transactions, including approximately 2.41 million transactions related to hacking and theft, about 1.48 million transactions related to phishing, and around 990,000 transactions related to fraud. The OKX Web3 on-chain intelligence label library currently has over 1 billion labels, covering more than 420 chains, and has integrated capabilities such as address screening, transaction monitoring, and sanction address control into infrastructures like DEX and Exchange OS.In addition, in terms of user protection, OKX has intercepted over 7 million visits to risky websites, completed over 200,000 device risk assessments, identified over 60,000 high-risk apps, and intercepted or alerted on over 4 million high-risk signature operations. The report also introduces the "risk control pre-positioning" design in scenarios such as Exchange OS, Outcomes, RWA, and Agentic Wallet.

Morgan Stanley missed the lead underwriting qualification for SK Hynix's $26.5 billion IPO, having previously released multiple bearish reports on the South Korean semiconductor industry

According to South Korean media outlet Chosun Ilbo, Morgan Stanley was not selected as the sole lead underwriter for SK Hynix's American Depositary Receipts (ADR) listing. The transaction size is approximately $26.5 billion (about 40 trillion Korean won), making it the largest IPO for foreign capital in the U.S. The commission, calculated at a 0.5% underwriting fee rate, is about $130 million. The final underwriting syndicate consists of Bank of America, Citigroup, Goldman Sachs, and JPMorgan Chase. Industry insiders generally believe that Morgan Stanley's exclusion is related to its repeated issuance of bearish reports on South Korean semiconductors.The report's author is Korean-American Managing Director Shawn Kim, who has repeatedly downgraded the stock ratings of memory stocks such as Samsung Electronics, SK Hynix, and Micron in research reports published in 2017, 2021, 2024, and on June 6 of this year, with the 2021 report titled "Memory, Winter is Coming." Additionally, Morgan Stanley has recently faced setbacks in South Korea: as a co-underwriter for the SpaceX IPO, Korea's Mirae Asset applied for $1.14 billion in subscriptions but received zero allocation; the sale of IGIS Asset Management, promoted in conjunction with Goldman Sachs, also ended in failure. Morgan Stanley's largest shareholder is Japan's Mitsubishi UFJ Financial Group (MUFG), which holds approximately 24% of the shares.

hot_img Bitwise releases Q3 2026 staking report: Activity on various main chains rises but revenue generally declines, institutional entry becomes a core theme

According to the Bitwise "Q3 2026 Staking Report," Q2 2026 presents a divergent pattern of "increased on-chain activity and decreased fee revenue," with the core driving factor being various protocols actively reducing block space costs.In terms of core data across chains, Ethereum's active staking volume reached a historic high of 40.2 million ETH (accounting for 33% of the total supply), while network revenue decreased by 51% year-on-year to $64 million, although it rebounded in ETH terms quarter-on-quarter; Solana's Q2 Real Economic Value (REV) dropped to $51 million, significantly down from the peak of $812 million in Q1 2025, but non-voting transaction volume reached 9.8 billion, maintaining resilience in on-chain activity; Hyperliquid's Q2 total protocol revenue was $174.8 million, with perpetual contract trading volume reaching $65.2 billion, and the proportion of non-crypto assets (commodities, stock indices, etc.) rose to 32%; Avalanche C chain's transaction volume grew approximately fourfold year-on-year to 236 million transactions, but network revenue plummeted due to a significant drop in fees, leaving only $330,000; NEAR saw a dramatic 75% drop in on-chain transaction volume to 77.7 million transactions due to the collapse of Kai-Ching application activity, but the Intents execution layer generated fees approximately 68 times that of the base chain.In terms of institutional adoption, BlackRock launched an Ethereum staking ETF (ETHB), Coinbase and Circle each staked 500,000 HYPE, and Bitwise, 21Shares, and Grayscale successively launched HYPE spot ETFs. Additionally, the stablecoin payment chain Tempo, incubated by Stripe and Paradigm, processed $386 million in transfers in its first quarter, while the global payroll platform Deel distributed approximately $30 million to 7,200 contractors through this chain.

Gate releases the 2026 semi-annual report on wealth management: Yubibao's scale remains stable, with dual-currency investment APY reaching up to 295%

Gate officially released the 2026 Wealth Management Semi-Annual Report. The report shows that the overall cryptocurrency market faced pressure in the first half of the year, with BTC and ETH dropping approximately 33.1% and 47.1%, respectively, and market risk appetite continued to decline. Against this backdrop, user demand for stable returns and high liquidity assets has continued to rise.Gate's Yubi Treasure position size remained stable at 2 billion USDT, with funds gradually shifting towards demand for liquidity management. At the same time, the GUSD minting rate has stabilized, with funds mainly flowing into on-chain earning scenarios, continuously demonstrating the value of income-generating stable assets. In terms of advanced wealth management, Gate's dual-currency investment maintains an industry-leading advantage, with the low-buy strategy achieving a 0-day term APY of up to 295%, significantly higher than the market average of 166%. Gate's quantitative fund continues to perform steadily, with the interstellar hedge (USDT) achieving a cumulative return of 18.7%. In asset allocation, Gate's stock holdings continue to optimize, with the proportion of Korean stocks rapidly increasing following their launch, accounting for about 75% of the overall holdings by the end of June. The top ten holdings are mainly concentrated in semiconductor and technology growth assets, with SK Hynix holding the largest position. Additionally, Gate's GUSD minting annualized rate reached 3.8%, supporting users to participate in diverse ecological scenarios such as Launchpool and Pre-IPOs; Yubi Treasure USDT wealth management VIPs can enjoy an annualized return of 4.0%.In the future, Gate will continue to improve its wealth management system covering stable wealth management, enhanced returns, and multi-asset allocation, providing more flexible and efficient asset appreciation solutions for users with different risk appetites, helping users achieve long-term value growth amid market cycle changes.

hot_img The dark side of the moon accelerates capitalization, Kimi K3 rushes to a valuation of 50 billion dollars after its release

The Chinese AI large model company Dark Side of the Moon is accelerating its capitalization process, planning to start the final round of pre-IPO financing negotiations in August, with a target pre-investment valuation of $50 billion. Reports indicate that Dark Side of the Moon expects to complete a round of financing soon, corresponding to a valuation of approximately $31.5 billion. After completing this round of financing, the company will immediately engage in discussions for the next round of financing with potential investors, which may become its last private placement before entering the Hong Kong capital market.Market participants believe that if the financing plan proceeds smoothly, Dark Side of the Moon could initiate the process for a Hong Kong stock listing as early as this year. One of the key driving factors for this valuation increase is the company's recent release of the new generation large model Kimi K3. It is reported that Kimi K3 has a parameter scale of 28 trillion, supporting a context window of millions of tokens, making it one of the largest open-source models in the world by parameter scale. After the model was released, it quickly attracted market attention, prompting the company to adjust its new user subscription arrangements to ensure the user experience for existing customers.As the competition in generative AI enters a phase of comparison in computing power, user scale, and commercialization capabilities, large model companies are accelerating their search for capital support. Dark Side of the Moon's financing plan also reflects the market's ongoing interest in leading AI foundational model companies. However, the $50 billion valuation target also implies higher commercialization requirements. In the future, investors will focus on Dark Side of the Moon's revenue growth, control of computing costs, and whether the Kimi series models can form a stable business model. If the financing and listing plans proceed smoothly, Dark Side of the Moon may become an important case of capitalization for Chinese AI large model companies.
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