September switched gears from negative to positive very quickly. Once again, the positive market performance was driven by the technology sector. The ultimate catalyst of the week was Akamai Technologies signing a massive $11.6 billion deployment deal with Anthropic. This was closely followed by Microsoft revamping its Copilot suite with new autonomous agentic AI tools and next-generation code generation. Concurrently, intense demand for semiconductor hardware and CPU data-server infrastructure shielded the mega-caps from rising bond yields, fueling a heavy tech breakout.
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To what extent can AI-focused companies continue to produce earnings that satisfy the voracious investor expectations? Micron Technologies (MU) reported its 4th quarter earnings just after close-of-business Wednesday September 30. MU is a global leader in designing and manufacturing advanced semiconductor memory and storage solutions. While processing chip makers like NVIDIA or Advanced Micro Devices build the “brains” of computing, Micron builds the critical infrastructure required to read, store, and transfer that data. Because Micron sits further upstream in the production sequence, its sales volumes, contract pricing updates, and inventory changes give Wall Street a forward-looking snapshot of hardware demand 3 to 6 months before processing chip companies reflect it in their final sales cycles
Analysts expectations for the report were very high. This inferred that any shortfall of expectations – or perhaps merely meeting expectations – could launch an October volatility spike. This sets the tone amidst what major strategists continue to insist is a “wall of worry” among investors even as the market continues to shrug off such negativity. While the reported earnings did exceed expectations, MU is so far down in stock price as of this writing.
A number of other tech stocks are highly likely to move in the same direction. Micron functions as an “early bellwether” for the entire technology and semiconductor ecosystem, routinely reporting its financial results nearly a full month before companies like NVIDIA or AMD. Here are the stocks with the highest correlations to MU.
Over the rolling three-year period leading into late 2026, the 5 stocks demonstrating the greatest weekly price correlations to Micron Technology (MU) are primarily its direct peers in the semiconductor and data storage sectors:
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- Western Digital Corp (WDC) — Typically has the highest statistical correlation due to overlapping exposure in the cyclical memory market (NAND/Flash memory).
- NVIDIA Corp (NVDA) — Highly correlated through shared demand loops in artificial intelligence infrastructure, explicitly high-bandwidth memory (HBM) paired with enterprise AI processors.
- Advanced Micro Devices Inc (AMD) — Exhibits strong systemic correlation as a key driver of high-performance data center and computing memory architectures.
- Lam Research (LRCX) – Lam Research is a specialized leader in precision etch and deposition processes. Its core competitive advantage lies in vertical 3D scaling architectures. It has high exposure to MU’s rolling multi-billion dollar flash/HBM memory upgrades.
- Applied Materials (AMAT) – The world’s largest semiconductor equipment manufacturer by revenue, offering an unrivaled broad portfolio across atomic layer deposition, metrology, inspection, and materials engineering. Its direct link to Micron is by each firm’s global foundry footprint build-outs and clean room CapEx expansions.
The table below outlines the price returns from the fixed window of September 26, 2024, through September 25, 2026, alongside current fundamental metrics:
| Ticker | Company | VE Rating | VE Valuation Rank | 3-Year Annualized Return | Beta (3y) | P/E Ratio |
| MU | Micron Tech. | 5 | 48 | 151.50% | 3.30 | 24.1 |
| WDC | Western Digital | 5 | 21 | 136.60% | 2.85 | 17.0 |
| NVDA | NVDA Corp. | 5 | 74 | 74.85% | 2.22 | 28.5 |
| AMD | Advanced Micro Devices | 5 | 50 | 86.40% | 2.48 | 142.8 |
| LRCX | Lam Research | 5 | 40 | 71.33% | 3.19 | 54.5 |
| AMAT | Applied Materials | 5 | 45 | 51.87% | 2.67 | 41.6 |
| SOXX | iShares Semiconductor ETF | 5 | N/A | 53.65% | 2.06 | 68.6 |
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Going forward into October, both the historical seasonality and the mid-term election factor turn around, although not necessarily immediately. And of course, history doesn’t repeat itself in every midterm election year. That said, while September is historically the worst calendar month of the year for the S&P 500, October is the third best since 1926. Despite its reputation for crashes, it ranks third best overall and is quite resilient in non-crash years. To paraphrase Stock Trader’s Almanac CEO Jeffrey Hirsch: “If you sold in May and went away, you’d better buy back in October to keep your portfolio sober!”
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