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Bitget UEX Daily Report | Oil prices rise to nearly a one-month high; Nasdaq falls back, Meta surges against the trend; Strategy increases holdings by 250 BTC (October 13, 2026)

Summary: Bitget UEX Daily Report
Bitget
2026-10-13 09:45:05
Bitget UEX Daily Report

# 1. Selected Hot News

1. International Crude Oil: Saudi Airport Attack Raises Supply Risks, Brent Closes at $106.65

International crude oil prices rose significantly on October 12. Brent crude futures increased by about 1.8%, closing at $106.65 per barrel, the highest level since mid-September; WTI crude futures closed at $93.74 per barrel. Previously, the Houthi armed group from Yemen attacked the King Khalid International Airport in Riyadh, Saudi Arabia, raising concerns in the market about the safety of oil facilities and transportation routes in the Middle East. Meanwhile, the United States announced a relaxation of some restrictions on Russian diesel exports and promoted a ceasefire arrangement for Russian-Ukrainian energy facilities, but these measures failed to effectively offset market concerns about supply disruptions in the Middle East.

Market Impact: High oil prices are becoming an important variable affecting global asset pricing again. Rising energy costs not only directly impact inflation but may also further transmit through logistics, industrial production, and consumer costs. Although relaxing restrictions on Russian diesel exports can increase some supply, the short-term incremental scale is limited. If transportation risks in the Middle East persist, the Federal Reserve may face higher inflationary pressures, and profit margins in aviation, transportation, and high-energy-consuming industries may also be squeezed.

2. Federal Reserve: Officials Emphasize Maintaining Restrictive Policies Quickly, Dollar Rises to 18-Month High

On October 12, Cleveland Fed President Beth Hammack stated that inflationary pressures in the United States are no longer limited to the energy sector, and some companies are adjusting their pricing strategies for goods and services. She believes the Federal Reserve should timely adopt a sufficiently restrictive policy stance to avoid needing to tighten monetary policy more drastically in the future. On that day, the dollar index briefly rose to 102.58, reaching an approximately 18-month high. The market still leans towards the Federal Reserve maintaining interest rates in October but remains vigilant about further rate hikes within the year.

Market Impact: A stronger dollar and high interest rate expectations typically exert pressure on gold, non-dollar assets, and high-valuation growth stocks. Currently, the U.S. economy has not shown a significant deterioration that would force the Federal Reserve to quickly shift to easing, while energy prices add uncertainty to inflation. The September CPI, to be released on October 14, will become an important basis for judging the Federal Reserve's subsequent policy path.

3. AI Industry: Meta Launches Muse Wonder Series Models, Microsoft Market Value Surpasses $4 Trillion

On October 12, Meta officially launched two new generation AI models, Muse Wonder and Muse Wonder Full, focusing on complex task processing and agent applications, covering code development, document analysis, and professional work scenarios. Muse Wonder has been opened to developers, while Wonder Full is aimed at Muse Code subscription users and will gradually be integrated into the Muse Assistant. Following the announcement, Meta's stock rose by 3.38%.

On the same day, Microsoft rose by 1.14%, with its market value surpassing $4 trillion again. The market continues to focus on its Azure cloud computing business, AI software commercialization, and the layout of next-generation AI hardware.

Market Impact: AI competition is expanding from purely model performance to agent capabilities, commercial distribution, and actual paid revenue. Meta attempts to reduce reliance on external model suppliers through its own models and subscription services; Microsoft relies on enterprise customers, cloud platforms, and software products to form commercialization channels. Future observations should focus on user retention, subscription growth, inference costs, and actual profits from AI products, rather than judging commercial success solely based on model performance evaluations.

# 2. Market Review

1. Commodity and Forex Performance

Variety
Reference Price
Data Basis

|-------------|----------------|----------------| | Spot Gold | Approximately $4,169.10 per ounce | October 12 U.S. trading session | | Spot Silver | Approximately $60.14 per ounce | October 12 U.S. trading session | | WTI Crude Oil | $93.74 per barrel | October 12 futures settlement | | Brent Crude Oil | $106.65 per barrel | October 12 futures settlement | | Dollar Index (DXY) | Approximately 102.58 | October 12 U.S. trading session | | U.S. 10-Year Treasury Yield | Approximately 5.26% | October 9 most recent complete trading day reference |

On October 12, international crude oil prices rose significantly, prompting global markets to reassess energy supply and inflation risks. The dollar index rose by about 0.37%, reaching an 18-month high; gold fell by about 0.6%, and silver weakened simultaneously. The stronger dollar and expectations for further rate hikes put pressure on precious metals, while safe-haven demand from geopolitical tensions failed to fully offset this impact.

The U.S. Treasury spot market was closed due to Columbus Day, so the 10-year Treasury yield used the reference level from the previous complete trading day and should not be considered the latest close for October 12.

2. Cryptocurrency Performance

  • BTC: Bitget BTC/USDT reference price approximately 82,527.73 USDT; corresponding BTC/USD reference price 82,399.70 USD, down 1.57% in 24 hours.

  • ETH: Bitget ETH/USDT reference price approximately 2,515.34 USDT; corresponding ETH/USD reference price 2,508.89 USD, down 0.43% in 24 hours.

  • Total Cryptocurrency Market Cap: CoinGecko query page shows approximately $2.88 trillion, with a 24-hour change of about 0.7%; due to the lack of verifiable independent data timing, this data is not considered a synchronized snapshot with BTC and ETH market conditions.

The BTC price page was last updated at 02:13:33 Beijing time on October 13, and ETH at 05:23:33 Beijing time on October 13. The above 24-hour price fluctuations are based on the corresponding USD price on the Bitget page and are not verified against USDT trading pair fluctuations. Both market conditions are historical snapshots at specific times and do not represent real-time transaction prices at the time of this report's generation.

BTC | Liquidation Zone Observation

This time, no CoinGlass BTC liquidation map data meeting the 30-minute timeliness requirement, including exchange coverage and liquidation intensity, was obtained, so it is not possible to reliably determine the major short potential liquidation zones above the current price, the major long potential liquidation zones below, and their distances. BTC previously ran near $84,000 but then fell back; however, the price change itself cannot prove that concentrated liquidation occurred in one direction.

ETH | Liquidation Zone Observation

ETH also did not obtain original data for the liquidation map that meets the timeliness requirement, so it is not possible to determine the concentrated liquidation zones above and below and their respective distances. Currently, it can only confirm the price drop in the historical market snapshot mentioned above and cannot directly use ordinary technical support or resistance as liquidation intensity data.

Institutional Holding Cost | BTC

Strategy disclosed on October 12 that between October 5 and 11, it purchased an additional 250 BTC, costing approximately $21.5 million, with an average purchase price of about $86,194. As of October 11, the total amount of BTC held by the company rose to 848,250 BTC, with a cumulative purchase cost of approximately $64 billion, and an overall average purchase cost of about $75,444.

Based on this edition's Bitget BTC/USD historical reference price of $82,399.70, the BTC price is approximately 9.22% higher than Strategy's overall average cost. This ratio only reflects the difference between the BTC price at the corresponding point in time and the company's purchase cost, not the overall investment return rate of the company. The comprehensive cost of the U.S. spot BTC ETF has not been obtained for verifiable latest estimates, so it is not filled in.

Market Summary in One Sentence

BTC has fallen to approximately $82,400 in the verified snapshot, still about 9.2% higher than Strategy's latest average cost. Strategy continues to increase its holdings, but this round of purchases only involved 250 BTC, so this transaction alone cannot determine a comprehensive enhancement of institutional buying. Future observations should focus on whether BTC prices continue to approach the institutional cost area, as well as whether ETF fund flows and liquidation data provide new risk signals.

3. Major U.S. Stock Index Performance

Index
Closing on October 12
Change

|-----------|-----------|--------| | Dow Jones Industrial Average | 51,850.55 | +0.38% | | S&P 500 Index | 7,807.24 | -0.06% | | Nasdaq Composite Index | 27,245.90 | -0.44% |

U.S. stocks showed mixed performance on October 12. The Dow rose by about 196 points, the S&P 500 was basically flat, and the Nasdaq fell by 0.44%. Rising international oil prices, combined with market caution regarding U.S. inflation data and bank earnings reports this week, put pressure on high-valuation tech stocks.

The market internally did not experience a widespread decline. Energy, consumer staples, and some communication service stocks performed well, while semiconductors, AI hardware, and discretionary consumer sectors were relatively weak. Investors are reassessing the profitability of investments in AI infrastructure while waiting for third-quarter earnings reports to provide more evidence.

4. Performance of the Seven Tech Giants

Company
Stock Code
Closing Price (USD)
Change

|----------|-------|--------|--------| | NVIDIA | NVDA | 226.32 | -1.29% | | Apple | AAPL | 340.97 | +1.29% | | Microsoft | MSFT | 541.15 | +1.14% | | Alphabet | GOOGL | 352.72 | +0.30% | | Amazon | AMZN | 259.53 | -1.10% | | Meta | META | 742.96 | +3.38% | | Tesla | TSLA | 378.03 | -1.22% |

Among the seven tech giants, 4 rose, and 3 fell. Meta rose by 3.38%, becoming the best-performing tech leader; Apple and Microsoft rose by 1.29% and 1.14%, respectively. NVIDIA fell by 1.29%, and Amazon and Tesla also experienced declines.

Market pricing for the AI industry is further differentiating: companies with clear product launches and commercialization progress are more likely to gain attention, while concerns about capital expenditure returns, market competition, and valuations still face the computing power and hardware supply chain.

5. Sector Movement Observation

Semiconductors and Storage: Competition Concerns Weigh on the Sector. Micron Technology fell by about 3.9% on October 12, NVIDIA fell by 1.29%, and Broadcom fell by about 1.9%. The market is focusing on the progress of new DRAM technology from Chinese memory chip manufacturer Changxin Memory, as well as the potential supply competition it may bring. There is a distinction between technology releases and large-scale commercial production; future observations should focus on product yield, actual shipments, and industry price changes.

Energy Sector: High Oil Prices Support Upstream Companies. As Brent crude oil rises above $106, the stock prices of ExxonMobil and Chevron both increased by nearly 2%. Energy producers may benefit from higher oil prices, but transportation costs, project operations, and political interference will still affect final profits.

Enterprise Software and AI Applications: Meta and Salesforce Stand Out. Meta rose 3.38% due to the release of a new AI model, while Salesforce increased by over 4% after Bank of America upgraded its rating. The market is beginning to pay more attention to whether AI technology can be converted into software products, subscription revenue, and actual operational value for enterprise customers.

### 3. In-Depth Analysis of Key U.S. Stocks

1. Meta (META): Launches Muse Wonder Model, AI Commercialization Enters New Stage

Event Overview: On October 12, Meta launched the Muse Wonder and Muse Wonder Full models, focusing on AI capabilities for personal and professional scenarios. The new models cover complex document analysis, code development, and multi-step task processing, with some products already available to developers and subscribers. Meta rose 3.38% that day, closing at $742.96.

Market Interpretation: Meta's past large-scale AI investments have mainly revolved around advertising recommendations, model development, and infrastructure. The next-generation models and Muse subscription service provide a new commercialization path for exploring independent AI product revenue. However, improved model performance does not directly equate to enhanced profitability, as companies still need to bear the costs of training, inference, product development, and user acquisition.

Investment Insights: Future focus should be on the growth of paid Muse subscribers, actual retention, inference costs, and the synergistic effects of AI products on advertising business. If Meta can establish sustainable AI subscription revenue outside its existing social ecosystem, the market valuation logic of its AI investments may further change; conversely, if usage is high but commercial returns are insufficient, capital expenditure pressure will still exist.

2. Microsoft (MSFT): Market Value Reaches $4 Trillion, Cloud Computing and AI Applications Support Valuation

Event Overview: Microsoft rose 1.14% on October 12, closing at $541.15, with its market value surpassing $4 trillion again. The market continues to focus on Azure cloud computing growth, Copilot enterprise applications, and Microsoft's investment layout in AI models and hardware ecosystems.

Market Interpretation: Unlike companies that primarily rely on single AI product revenue, Microsoft has multiple commercialization channels, including enterprise software, cloud computing, development tools, and office collaboration. AI features can be distributed through existing customer relationships, providing a strong foundation for revenue conversion. However, the construction of data centers and procurement of AI computing power are also increasing capital expenditures, and final profits still depend on whether revenue expansion can cover the continuously growing investments.

Investment Insights: Key observations should include Azure revenue growth and AI business contributions, Copilot commercialization penetration rates, capital expenditure growth rates, and free cash flow. If the incremental gross profit brought by AI can consistently exceed infrastructure and inference costs, its valuation is expected to receive more robust support.

3. Micron Technology (MU): Concerns Over Storage Industry Competition Intensify, Stock Price Drops About 3.9%

Event Overview: Micron Technology fell about 3.9% on October 12. The market is paying attention to the new DRAM technology structure announced by Chinese storage chip company ChangXin Storage, which claims to reduce storage cell area and may improve future cost competitiveness. Meanwhile, investors continue to assess the impact of AI data center demand on the storage supply chain.

Market Interpretation: Storage chips are a typical cyclical industry, and product prices significantly affect corporate profitability based on supply and demand relationships. Technological advancements may change production costs and the long-term competitive landscape, but research and development results do not guarantee stable mass production in the short term, nor can they directly infer that global storage chip prices are about to decline.

Investment Insights: Future focus should be on the mass production progress of ChangXin Storage's related products, Micron's high-bandwidth memory (HBM) supply and order situation, and the actual price trends in the DRAM industry. If competition leads to an increase in general DRAM supply while AI-related high-end storage demand remains strong, the profitability performance within storage companies may continue to diverge.

### Market and Project Dynamics

  1. Strategy Continues to Increase BTC Holdings: Official disclosures on October 12 revealed that the company purchased 250 BTC between October 5 and 11, amounting to approximately $21.5 million, with an average price of about $86,194. Total holdings rose to 848,250 BTC. This is a disclosure of the previous week's transactions, not an additional purchase of 250 BTC on October 12.

  2. Strategy Repurchases Preferred Shares: Alongside the cryptocurrency purchase announcement, the company disclosed a repurchase of approximately $192.4 million in STRC preferred shares. Compared to the amount spent on BTC in this round, the company has invested more in capital structure management, indicating that its current strategy is not just about increasing BTC quantity but also optimizing financing and securities capital costs.

  3. Meta Expands AI Agent Product Layout: Muse Wonder has been opened to developers through the Meta Model API and Muse Code, while Wonder Full is available to subscribers. It will gradually integrate with the Muse Assistant to further expand the application of AI models in consumer and professional scenarios.

  4. Tokenization of U.S. Stock Business Continues to Advance: Securitize previously launched a tokenized U.S. stock product based on Solana, providing real underlying securities support and related economic rights. Currently, there is still a lack of new trading scale data, and the product launch cannot be directly equated with large-scale market adoption.

  5. Stablecoins and Securities Settlement: Traditional securities tokenization platforms continue to explore stablecoins like USDC as settlement tools. Their potential advantages lie in around-the-clock transfers and shortened settlement processes, but actual scale still depends on compliance custody, investor access, trading liquidity, and the reliability of stablecoin clearing systems.

### Today's Market Calendar

Date: October 13, 2026, Beijing Time. The following attention levels are assessed by the editor.
Beijing Time
Country/Region
Event
Market Attention Level

|--------------|----|-----------------------|-------| | October 13 | U.S. | JPMorgan Third Quarter Earnings | ★★★★★ | | October 13 | U.S. | Citigroup Third Quarter Earnings | ★★★★★ | | October 13 | U.S. | Wells Fargo Third Quarter Earnings | ★★★★★ | | October 13 | U.S. | Goldman Sachs Third Quarter Earnings | ★★★★★ | | October 14 | U.S. | Bank of America, Morgan Stanley Third Quarter Earnings | ★★★★★ | | October 14 20:30 | U.S. | September Consumer Price Index (CPI) | ★★★★★ | | October 15 20:30 | U.S. | September Producer Price Index (PPI) and Retail Sales Data | ★★★★★ |

The specific release time of earnings reports is subject to the company's official announcement.

Key Event Outlook: The core variables this week are U.S. inflation and third-quarter corporate earnings. The market expects the overall CPI for September to rise about 0.6% month-on-month and about 3.7% year-on-year, but the actual results still need to wait for official announcements. If inflation remains high, it may strengthen the Federal Reserve's judgment to maintain restrictive policies. Large bank earnings reports will provide the latest evidence on credit quality, corporate financing, trading business, and consumer demand in a high-interest-rate environment.

Institutional Viewpoint: Goldman Sachs recently raised its December Brent crude oil price forecast to about $90 per barrel, believing that geopolitical risks are raising uncertainty in the energy market. However, this forecast is still below current market prices, reflecting differing judgments on mid-term supply recovery and short-term conflict premiums. For oil prices and related energy stocks, investors need to distinguish between short-term supply shocks and long-term profitability changes.

Disclaimer: This report is for market information reference only and does not constitute investment advice. Market data is based on the specified time point, and different data sources may have time update discrepancies. Areas without reliable original data will not be filled with speculative estimates regarding clearing regions and ETF comprehensive holding costs.

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