Are risk assets diverging more sharply? U.S. stock’s three major indexes continued their rebound; Apple hit an all-time high, while chip stocks stayed weak

On July 15, the U.S. Bureau of Labor Statistics released the June Producer Price Index (PPI) data. Overall, PPI fell 0.3% month over month, while the market had previously expected it to be flat. The year-over-year increase slowed to 5.5%, below the expected 6.2%. After stripping out food and energy components with high volatility, core PPI rose 0.2% month over month, also below the forecast of 0.4%.

This data came right after the Consumer Price Index (CPI) released the day before—CPI saw its first month-over-month decline in six years. With the two inflation reports stacking together, market expectations for the Federal Reserve to pursue further aggressive rate hikes were significantly weakened. According to the CME FedWatch tool, the market’s probability expectation for a July rate hike dropped sharply from 41.7% before the data release to 15.5%.

The cooling inflation signals flowed into the equity markets, directly catalyzing the rebound in U.S. stocks on July 16. The Dow Jones Industrial Average closed up 150.37 points, up 0.29%, at 52,658.64; the S&P 500 rose 0.38% to 7,572.40; and the Nasdaq Composite rose 0.62% to 26,269.23. All three major indexes logged a second straight day of gains, and the S&P 500 inched near its one-month high.

But cooling inflation did not bring a broad-based rally. There was notable internal divergence in the market—large-cap technology leaders and chip stocks moved in opposite directions. This divergence, in fact, reveals a deeper change in the current pricing logic for risk assets.

Why Apple Can Set New Highs in the Chip-Stock Winter

Apple (AAPL.O) became the brightest star in trading on July 16. The stock closed up 4.01%, at $327.50, setting a new all-time closing high. Apple was also the best-performing component stock in the Dow that day, with a market cap of $4.8 trillion, ranking second among U.S. stocks.

The direct catalyst behind Apple’s new high came from China. On that day, China’s Cyberspace Administration of China added Apple’s generative AI (Apple Intelligence) to the latest approved supplier list. Apple and Alibaba’s AI collaboration has completed China regulatory filing. Alibaba’s large model, Tongyi Qianwen, will be integrated into Apple Intelligence to provide intelligent services for users in China.

An Evercore ISI analyst said this development removes the biggest regulatory obstacle for Apple Intelligence to enter the world’s largest smartphone market. For Apple, that means its AI strategy finally has an open channel in the China market, and the contribution of the China market to Apple’s revenue cannot be ignored.

In stark contrast to Apple’s strength, the chip sector fell across the board. The Philadelphia Semiconductor Index fell 2.2% that day. Memory chips became the worst-hit area: SK Hynix fell 9%, SanDisk fell more than 8%, Western Digital fell more than 8%, and Micron Technology fell 8%. Intel fell 4.4%, while AMD fell 3.5%.

With Apple surging more than 4% and memory chip stocks plunging nearly 9% on the same market day, such extreme sector divergence is not coincidental. It reflects a systemic rotation of capital within the technology sector—investors are cutting high-valued semiconductor stocks and shifting funds toward large technology leaders with stronger certainty of earnings.

What the Sector Rotation Reveals About Capital’s Logic

The July 16 fund flows showed a clear pattern. Among the “Magnificent Seven,” Apple rose 4.01%, Google rose 3.60%, Meta rose 3.07%, Amazon rose 3.02%, Microsoft rose 2.78%, Nvidia rose 0.33%, and only Tesla closed down 0.43%. The communication services sector had the largest gain, up 2.78%.

At the same time, the technology sector overall fell 1.07%, utilities fell nearly 1%, and the energy sector fell 0.77%. Of the 11 S&P 500 sectors, five rose, five fell, and one was flat.

This logic of capital rotation can be understood on two levels.

First, after the inflation data cooled, the market re-evaluated the interest-rate sensitivity of different sectors. Large technology leaders have ample cash flow and solid earnings power, making them more favored when interest-rate expectations fall. But for the semiconductor industry—especially the memory chip segment—strong cyclicality means it is highly sensitive to capital expenditures and inventory cycles, leaving it under greater pressure in the current macro environment.

Second, the sharp drop in memory chip stocks also layered in industry-level divergence. The market’s pricing of a “memory supercycle” showed clear split views. After the earlier surge, some investors chose to take profits after the inflation data was released, while others believed the fundamental logic for memory chips had not been broken. This divergence itself is a typical feature of the market entering a period of high-level consolidation.

How the Correlation Between Nasdaq and Bitcoin Is Changing

The link between technology stocks and crypto assets is one of the variables most worth watching in the current risk-asset pricing framework.

Based on historical data, the correlation between Bitcoin and the Nasdaq touched a historical peak of 0.96 in April 2026—meaning the two were almost fully synchronized in a statistical sense. From 2025 to 2026, Bitcoin showed strong positive correlation with both the S&P 500 and the Nasdaq, with correlation coefficients as high as 0.88 in certain trading windows.

However, this high degree of synchronization is loosening. According to data tracked by Fairlead Strategies, as of early June 2026, the 40-day correlation between Bitcoin and the Nasdaq fell to zero. Glassnode also observed that the correlation between Bitcoin and U.S. equities is weakening, while the negative correlation with the U.S. dollar is strengthening.

Bitcoin’s performance so far in 2026 further confirms this trend. In Q2, Bitcoin fell 13.4%, and its drawdown expanded to 32.9% year-to-date; meanwhile over the same period, the Nasdaq 100 rose 27.7%, and tech stocks rose 43.5%. A research report from NYDIG noted that this suggests Bitcoin’s decline was not caused by macro risk aversion, but by Bitcoin-specific supply pressure.

This means investors can no longer simply price Bitcoin as a “high-beta tech stock.” The decoupling of Bitcoin from U.S. equities is pushing crypto assets into a stage where independent fundamental analysis is increasingly required.

What the Split Market Means for Crypto Asset Investors

The market landscape on July 16 provided several signals worth noting for crypto asset investors.

During the day, Bitcoin broke above $65,000, up nearly 2% from the day’s low, and then consolidated around $64,600. After rallying strongly from the $62,314 low before the CPI data was released, Bitcoin’s high reached $65,100, setting a near-two-week high. This price reaction indicates that crypto assets still remain sensitive to macro liquidity, but their driving force is shifting from “risk-on synchronous moves” to “independent pricing based on liquidity expectations.”

From the perspective of fund flows, crypto funds ended a streak of 8 consecutive weeks of outflows in early July and saw inflows of $280 million. Bitcoin ETFs also recorded consecutive inflows. These signs show that although the statistical correlation between Bitcoin and U.S. equities is declining, institutional interest in allocating to crypto assets has not disappeared.

Even more noteworthy is the divergence within traditional tech stocks—Apple rallying while chip stocks crashed—which points to a broader trend: risk assets are shifting from a macro-driven “rise together, fall together” pattern to a micro-driven “differentiated pricing” pattern. For crypto assets, this means price action will increasingly depend on fundamental factors within the crypto ecosystem (such as supply pressure, on-chain activity, and ETF fund flows), rather than simply tracking the broader U.S. equity market.

A New Paradigm for Risk-Asset Pricing Seen Through the Divergence Between Apple and Chip Stocks

The July 16 market offered a window for observation: after inflation data cooled, risk assets were not simply rising or falling—they were being repriced according to their own industry logic and valuation levels.

Apple’s rise had a clear industry catalyst—AI regulatory approval opened the door to the China market. The chip stock decline also had industry-level reasons—divergence in the memory cycle, valuation pressure, and capital rotation. The rally in U.S. stocks was built on the macro layer—inflation cooling weakened expectations for rate hikes.

These three layers—macro, industry, and individual stocks—are all at work, and they do not always move in the same direction. That is the core feature of today’s risk-asset market: diversification of pricing factors and fragmentation of the drivers.

For investors, this means strategies that rely on a single macro indicator (such as inflation data) to trade all risk assets may fail. Whether it’s U.S. tech stocks or crypto assets, beyond the macro framework, more industry-level and asset-specific analysis dimensions are needed.

Gate has launched real U.S. stock trading services, supporting trading for more than 10,000 U.S. stock tickers. Users can directly participate in stock and ETF trades in the U.S. mainstream securities market through the platform using USDT. This architecture enables investors to observe and participate in pricing changes of both traditional risk assets and digital assets within the same account system, providing a more direct practical window for understanding the linkage and divergence between the two.

Summary

On July 16, 2026, the three major U.S. stock indexes continued to rebound as inflation cooled, with the Dow up 0.29%, the S&P 500 up 0.38%, and the Nasdaq up 0.62%. However, there was notable internal divergence in the market: Apple rose 4.01% after AI regulatory approval, setting an all-time high, while the memory chip stocks suffered a collective plunge, with the Philadelphia Semiconductor Index down more than 2%.

This divergence pattern reveals three key trends: First, cooling inflation is reshaping the interest-rate sensitivity ranking of risk assets, with capital showing more preference for large technology leaders with abundant cash flows; Second, the statistical correlation between the Nasdaq and Bitcoin has fallen significantly from historical highs, and crypto assets are moving into an independent pricing phase; Third, the risk-asset market is shifting from a macro-driven “rise together, fall together” model to a multi-factor-driven “differentiated pricing” model.

For crypto asset investors, this means paying closer attention to fundamental signals within the crypto ecosystem rather than simply following U.S. stock market moves. In this new phase where macro narratives and industry logic intertwine, cross-market and cross-asset-category structural observation is becoming a core capability for risk-asset pricing.

Frequently Asked Questions (FAQ)

Q: What were the specific closing figures for the three major U.S. stock indexes on July 16?

The Dow Jones Industrial Average closed at 52,658.64 points, up 150.37 points, or 0.29%; the S&P 500 closed at 7,572.40 points, up 28.81 points, or 0.38%; and the Nasdaq Composite closed at 26,269.23 points, up 162.22 points, or 0.62%.

Q: Why was Apple able to hit an all-time high on that day?

Apple closed up 4.01% to $327.50. The main catalyst was that its AI collaboration with Alibaba completed China regulatory filing, and Apple Intelligence was approved to enter mainland China.

Q: Why did chip stocks fall against the trend during the U.S. stock market rebound?

The memory chip sector was hit by heavy selling: SK Hynix fell 9%, SanDisk fell more than 8%, and Micron fell 8%. Market pricing for a “memory supercycle” showed divergence, compounded by rotation of funds from the semiconductor sector into large technology leaders.

Q: What level is the correlation between the Nasdaq and Bitcoin at now?

In April 2026, the correlation between Bitcoin and the Nasdaq was as high as 0.96, but as of early June it had fallen to around zero. The linkage between Bitcoin and U.S. equities is weakening, while the negative correlation with the U.S. dollar is strengthening.

Q: How did Bitcoin perform on July 16 in terms of price?

During the day, Bitcoin broke above $65,000, up nearly 2% from the day’s low, and then consolidated around $64,600.

Q: How should crypto asset investors understand the current divergence in the U.S. stock market?

The internal divergence among U.S. tech stocks and Bitcoin’s decoupling indicate that risk assets are shifting from macro-driven “rise together, fall together” to multi-factor-driven differentiated pricing. Investors need to focus more on fundamental signals within the crypto ecosystem, rather than simply following U.S. stock market trends.