AI Stocks Slide, but the S&P 500 Holds Firm: Gareth's Game Plan for Market Rotation

The biggest signal from Gareth Soloway's October 12 market analysis was not simply the selling pressure in artificial intelligence stocks. It was the broader market's ability to absorb that weakness without following technology shares sharply lower. With Nasdaq futures underperforming S&P 500 futures, Gareth focused on a developing rotation beneath the surface. The question was whether money leaving crowded AI trades was finding opportunities elsewhere, allowing the broader market to maintain its bullish structure even as former market leaders came under pressure.

During My Trading Game Plan Revealed, Gareth outlined how competition in AI hardware, declining Treasury yields, and improving technical setups in previously beaten-down stocks could help explain the divergence. His broader S&P 500 target of 8,000 remained in place, but that did not mean every sector deserved the same bullish outlook. The distinction was between an index maintaining its upward trajectory and individual stocks beginning to show signs of exhaustion.

AI Stock Selloff Puts Semiconductor Pricing Power Under Pressure

The selling pressure in AI-related stocks was particularly noticeable in memory and storage names, including Sandisk, Micron, and Seagate. In the session described by Gareth, Nasdaq futures were lower by approximately 0.8%, compared with a decline of just 0.1% in S&P 500 futures. That relative weakness suggested investors were reassessing the outlook for some of the companies that had benefited most from the AI investment cycle.

One development Gareth highlighted was reported progress by Chinese memory manufacturer CXMT in developing higher-density memory technology. The significance extended beyond one company's product announcement. It raised a broader question about how long existing manufacturers could maintain elevated pricing and margins if competing suppliers continued improving their products. A technological advantage can support strong profitability, but that advantage becomes harder to defend when new competitors offer comparable or more efficient alternatives.

Gareth connected that development to a familiar economic cycle. High demand initially allows suppliers to command premium prices, which attracts additional investment and competition. Over time, expanding supply can pressure selling prices and reduce margins. That process does not necessarily mean AI demand is disappearing. It means investors may need to distinguish between continued industry growth and the profitability individual companies can sustain as competition increases.

For traders, the market's reaction provided the key evidence. If AI hardware stocks continued breaking technical support while the broader indices held their ground, it would strengthen the case that leadership was rotating rather than the entire market entering a coordinated decline. A recovery in semiconductor leadership, however, would challenge the idea that the sector's weakness was developing into a sustained trend.

S&P 500 Holds Bullish Structure as Capital Rotates Beyond Tech

Despite the pressure on technology shares, Gareth maintained his bullish framework for the S&P 500, including his previously identified 8,000 target. His reasoning centered on the difference between weakness in a heavily owned sector and deterioration across the entire market. A major index can remain resilient when selling in one group is offset by buying in other sectors, even if the stocks attracting capital were previously out of favor.

Institutional portfolio rebalancing was an important part of that interpretation. When managers reduce exposure to an extended or crowded trade, they may redeploy some of that capital into other opportunities rather than move entirely into cash. That creates the possibility of relative strength in companies that have already experienced substantial corrections. The behavior of those stocks can provide useful evidence about whether market participation is broadening beyond technology.

Nike and Clorox were two examples Gareth discussed. Nike had experienced significant weakness following earnings, but subsequent buying suggested demand was returning at lower prices. Clorox had also declined toward an established horizontal support area, where a bottoming tail appeared on the chart. That candlestick showed buyers responding after an attempt to push the stock lower, providing an early indication that selling pressure could be weakening.

With Clorox referenced near \$85.50, Gareth identified \$87.75 as an initial resistance objective. The setup depended on buyers continuing to defend the support area rather than allowing the stock to break below it. A bottoming tail alone does not confirm a lasting reversal, but a successful defense of support followed by higher prices would strengthen the bullish interpretation. This is the type of evidence traders can use to assess whether capital rotation is gaining traction.

10-Year Treasury Yield Reversal Could Support Rate-Sensitive Stocks

The bond market provided a second piece of Gareth's broader framework. The 10-year Treasury yield was referenced near 5.206%, following the formation of topping tails on both the daily and weekly charts. Those formations suggested yields had encountered selling pressure after attempting to extend higher, creating the possibility of a near-term reversal.

A topping tail develops when an instrument moves higher during a trading period but gives back much of that advance before the close. In this case, the appearance of similar formations across two time frames added weight to the technical warning. It did not guarantee that yields had reached a lasting top, but it gave traders a reason to watch for additional downside confirmation rather than assume the prior advance would continue uninterrupted.

Gareth identified 5% as the next important support area for the 10-year yield. A continued decline toward that level could improve the relative appeal of interest-rate-sensitive assets, including real estate investment trusts. Lower yields can reduce financing pressure and make dividend-paying investments more competitive against fixed-income alternatives, although the magnitude of that benefit depends on broader credit and economic conditions.

This relationship helped connect the bond market to the equity rotation thesis. If yields moved lower while REITs and other previously pressured sectors continued strengthening, that would provide another sign of improving participation outside technology. If yields instead recovered and broke above their recent highs, the anticipated benefit for rate-sensitive stocks would become less convincing.

JPMorgan, Goldman Sachs and Healthcare Earnings Meet Key Technical Levels

With major financial and healthcare companies reporting earnings, Gareth emphasized that the market's reaction to results could carry more weight than the headline figures alone. Earnings surprises, guidance, and positioning can all influence the opening move, but established technical levels often help determine whether that move attracts follow-through or encounters opposition.

JPMorgan Chase was one example. The draft's reported earnings figures showed earnings per share of \$5.75 against expectations of \$5.94, alongside stronger-than-expected revenue. Despite an initial negative reaction, the stock recovered as buyers responded near an established support area. Gareth's technical interpretation focused on that response: a stock that refuses to extend lower after disappointing expectations may be signaling that much of the negative outlook was already reflected in its price.

Goldman Sachs presented a different opportunity. Rather than treating its positive earnings reaction as a reason to chase the stock higher, Gareth identified the \$1,000 area as potential swing-trade resistance. That level was associated with a previously broken parallel channel, making a return toward the former structure worth watching. A rejection near \$1,000 could support a bearish setup, while sustained strength above that area would weaken the resistance argument.

In healthcare, Johnson & Johnson and UnitedHealth offered additional examples of how earnings-driven volatility could create technical opportunities. Following the reported pullback in Johnson & Johnson, Gareth identified \$251 as an initial support area and approximately \$247 as a stronger potential swing-trade zone, supported by historical pivots. For UnitedHealth, resistance was identified near \$405 to \$406, followed by a higher resistance area around \$415.

The trading approach was consistent across those names. Let price reach the level first, then evaluate the reaction. A prior support or resistance zone can define the setup, but the response at that zone determines whether the trade remains valid.

Crude Oil, Silver and Natural Gas Signal Different Economic Pressures

The commodity charts added another layer to the broader market picture. Crude oil was trading around a significant pivot at \$88.75, a level Gareth identified through repeated historical reactions. Holding above that area would leave room for stabilization or a renewed advance, while a confirmed breakdown could shift the technical outlook toward the next downside objective near \$77.

Oil prices reflect a combination of supply conditions, demand expectations, and geopolitical developments. A break of major support would not independently establish that the economy was weakening, but it could add to evidence of softer demand if other economically sensitive assets were showing similar deterioration. Continued support near \$88.75, by contrast, would show that sellers had not yet taken control of the broader structure.

Silver presented a related but distinct concern. Gareth noted that silver was underperforming gold, raising questions about the outlook for industrial demand. The AI investment cycle has supported substantial spending on data centers and related infrastructure. If that investment slowed meaningfully, it could affect economic activity and demand expectations for certain industrial materials. That is a potential transmission mechanism, not confirmation that AI capital expenditure or the broader economy is already contracting.

For silver, Gareth discussed the possibility of a move toward \$50 if the existing support structure failed. Gold, meanwhile, was showing relative stability around its longer-term trend line. The difference between the two metals was important because gold's monetary and defensive characteristics can support demand under conditions that are less favorable for silver's industrial component.

Natural gas offered a more constructive technical picture. After a sharp decline toward a major trend line, prices recovered substantially and continued showing buying interest near the lows. Gareth interpreted that behavior as potential accumulation and anticipated a possible breakout over the following week, with \$3.50 identified as an upside objective. The bullish case depended on support continuing to hold and price confirming the breakout.

Bitcoin Range Defines \$81,000 Support and \$87,000 Breakout Level

Bitcoin remained in a wide consolidation range following an unsuccessful attempt to extend its decline. Gareth identified buying interest near \$81,000, while the \$87,000 area represented the upper boundary traders needed to see broken before assigning greater weight to a bullish continuation.

The range created two clearly defined scenarios. A confirmed breakdown below \$81,000 would expose the next downside objective around \$75,000. Alternatively, a sustained breakout above \$87,000 could open the door to a move toward the \$95,000 to \$97,000 resistance zone. Until either boundary gave way, the chart offered less directional clarity, particularly for traders entering near the middle of the range.

That structure gives traders a cleaner framework than trying to anticipate every move inside the consolidation. The boundaries define where momentum could expand and where risk can be evaluated more clearly.

SanDisk, Micron and Marvell Approach Key Semiconductor Support Zones

Although Gareth was concerned about the weakness in AI-related stocks, he also identified technical areas where selling pressure could temporarily exhaust itself. A bearish view of a sector does not eliminate the possibility of short-term rebounds, particularly when stocks approach major support levels after an extended decline.

In the source draft, Sandisk was associated with an aggressive bounce area near \$1,333, a larger trend-line support level around \$1,300, and a lower gap area near \$1,275. Micron was described as approaching a potential gap-fill level near \$926, with stronger support around \$905. Marvell Technology was also identified as having historical support in the \$240 to \$241 region. These specific price references should be confirmed against the original charts before publication.

The trading principle behind the setups is straightforward. When a stock falls sharply, entering before support is reached adds unnecessary uncertainty. Gareth's approach focuses on allowing price to move into areas where multiple technical factors converge and then evaluating the reaction.

A bounce from support may create a short-term opportunity, but a failure to defend the same level can signal that sellers remain in control. The level identifies where a setup may develop. Price action determines whether that setup earns confirmation.

Market Rotation Keeps Gareth's S&P 500 Bullish Case Intact

Gareth's October 12 game plan centered on a market showing two different behaviors at once. AI-related stocks were under pressure as investors reconsidered pricing power and future profitability, yet the broader S&P 500 continued demonstrating resilience. That divergence kept his 8,000 index target in play while reinforcing the need to evaluate individual sectors and stocks on their own technical merits.

The rotation thesis would gain credibility if semiconductor weakness continued alongside improving participation in value, cyclical, and rate-sensitive areas. A broader decline that pulled those groups lower as well would weaken that interpretation and put more pressure on the bullish index framework.

The game plan was not to buy everything that had fallen or short everything that had rallied. It was to identify where capital appeared to be moving, define the levels that support or challenge that view, and let price action confirm the next move. In a market where leadership can change quickly, that framework gives traders a cleaner way to separate rotation from genuine broad-market deterioration.

This article summarizes market analysis and technical scenarios discussed in My Trading Game Plan Revealed for October 12, 2026. Trading and investing involve substantial risk, including possible loss of principal. The information is provided for educational purposes only and does not constitute personalized financial advice or a recommendation to buy or sell any security. Technical levels and price targets are conditional, not guarantees of future performance.