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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.

hot_img Amazon adjusts its AI strategy, gradually phasing out most flagship Nova models and focusing on cutting-edge model development

According to Business Insider, Amazon is making a comprehensive adjustment to its AI strategy, gradually phasing out most of its self-developed flagship Nova models, including the high-end Premier and Omni models, the Reel video generation model, and the Canvas image generation model, with the remaining products only maintaining a "Keep The Lights On" (KTLO) status. Resources are being shifted from the existing Nova series to the new frontier model project led by researcher Pieter Abbeel (who joined through the acquisition of Covariant), with the new flagship model expected to debut at this fall's re:Invent conference.This adjustment is accompanied by organizational restructuring. Amazon laid off employees in the AGI department last week and closed the AGI Lab established in 2024 by absorbing the AI startup Adept team. AGI head Rohit Prasad left in December 2025, and AGI Lab head David Luan stepped down in February of this year. The AGI organization was integrated under Senior Vice President Peter DeSantis in December of last year, merging with chip development and quantum computing. An Amazon spokesperson responded that the company "has long supported AI models in production environments" and emphasized that "AI models remain one of the company's most important work directions," with the model lineup continuously evolving based on customer needs.

Gate US announced that Gate AI has partnered with Alpaca, focusing on Agentic Trading to explore the integration of AI infrastructure and trading infrastructure

Gate US officially announced that Gate AI and Alpaca will collaborate on the development vision of Agentic Trading, promoting the integration of AI infrastructure and trading system capabilities to provide underlying support for the next generation of intelligent trading applications.Alpaca has built a trading API that is developer and AI Agent friendly, with its community continuously transforming trading ideas into actual projects, covering research processes, simulated trading systems, and Agentic workflows that connect market data, analysis, and execution logic. Gate AI focuses on building an infrastructure layer for AI Agents and developers, where the GateRouter unified API helps developers quickly access over 25 mainstream AI models and balances cost and performance through intelligent routing.Both Gate AI and Alpaca agree that AI trading Agent developers should not have to choose between high-quality trading execution infrastructure and AI infrastructure, but should be able to obtain support for both in a smoother manner. Next, Gate AI will explore how its model routing and Agent infrastructure can connect to trading workflows built on APIs like Alpaca, supporting developers in integrating market data, AI reasoning, and trading execution into Agentic systems.Gate AI and Alpaca also plan to promote knowledge sharing and best practice exchanges between their developer communities, continuously lowering the development threshold and complexity of AI-native trading applications. Gate AI and Alpaca will continue to explore collaborative efforts around the construction of the Agentic Trading ecosystem, providing foundational support for developers to build more efficient and scalable next-generation intelligent trading applications.

The US stock earnings season focuses on AI realization, and Gate continues to strengthen its global asset allocation service capabilities

As the second quarter earnings season for US stocks enters a phase of intensive disclosure, the performance of the AI industry chain has become the focus of market attention. Investors are particularly focused on the capital investments of tech giants in AI, the growth of cloud computing, and commercialization progress. The market's focus is gradually shifting from expectations of AI development to the ability to realize profits. Meanwhile, geopolitical risks continue to disrupt global markets, with safe-haven assets such as energy and gold drawing attention, and the demand for cross-asset allocation and risk management among investors further increasing.In response to changes in the global market structure, Gate has continuously strengthened its institutional-level infrastructure and comprehensive service capabilities. Relying on a multi-asset trading system covering stocks, indices, foreign exchange, commodities, and digital assets, it provides professional users with market insights, trade execution, and asset management support. In the second quarter of 2026, the scale of Gate's institutional OTC Loan lending increased by 43.61% year-on-year, and the scale of leveraged lending rose by 14.33% quarter-on-quarter; at the same time, the SBE market service was launched, supporting public and private data channels, and a new contract Book Ticker real-time market push capability was added, further enhancing trading efficiency and quantitative strategy execution capabilities.In the future, Gate will continue to deepen its global institutional ecosystem layout, improve its trading, liquidity, and asset management service system, and assist professional users in more efficiently responding to market changes and seizing cross-asset trading opportunities.

Pendle announces H2 roadmap, doubling down on RWA and institutional markets, Boros will focus on on-chain interest rate derivatives

Pendle co-founder TN and Head of Growth Dan reviewed the developments in the first half of 2026 during the latest community meeting and announced the roadmap for the second half of the year. The team stated that in the first half, Pendle's ecosystem focused on building fixed income infrastructure, with Pendle V2 continuing to solidify its position as an on-chain fixed income protocol, while Boros made initial progress in the on-chain interest rate derivatives market.Data shows that Pendle V2 had an average daily TVL of approximately $1.3 billion in the first half of the year, with 9 out of the 11 major markets on the platform adopting real-world assets (RWA) as collateral, reflecting that institutional funds are continuously flowing into the RWA sector. Additionally, Pendle has launched on the Monad network and within less than a month became one of the top five protocols by TVL on that network, with a locked amount of approximately $150 million. In terms of protocol upgrades, Pendle has completed the migration from vePENDLE to sPENDLE, with about 36% of PENDLE currently staked, of which 93% of stakers have not yet unstaked. The protocol has also utilized revenue to repurchase approximately 2 million PENDLE and significantly reduced weekly liquidity incentives from about 90,000 to 21,000, further enhancing capital efficiency.At the same time, Pendle launched an in-app one-click Loop feature to simplify the operational process of leveraged yield strategies. Another core product, Boros, has surpassed $14 billion in cumulative trading volume within less than a year since its launch, with the number of users increasing by 50% since the beginning of the year. It has also introduced four-legged arbitrage strategies, acceptance of block trades, and a funding rate data dashboard to meet professional trading needs. Looking ahead to the second half of 2026, Pendle will focus on advancing curation infrastructure, allowing external teams to create PT/YT markets, and promoting PT assets as collateral for lending protocols; at the same time, it will collaborate with partners like Morpho to launch Pendle-branded yield vaults, expanding distribution channels for fixed income products. In terms of institutional business, the team is working with several RWA issuers in New York, planning to introduce tokenized ETFs, single bonds, and other on-chain yield products to Pendle, creating a platform for institutional RWA yield discovery and distribution. Boros will shift its strategic focus to cross-exchange funding rate arbitrage, prioritizing services for institutional arbitrageurs, and plans to launch a peer-to-peer acceptance market, funding rate visualization tools, and one-click strategy products for ordinary users, further improving the on-chain interest rate derivatives ecosystem.
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