Key Takeaways
- Every S&P 500 software stock is trading below its 200‑day moving average, signaling extreme, broad‑based weakness in the group.
- Roughly 89% of Semiconductors & Semiconductor Equipment stocks are above their 200‑day moving average, indicating a strong, persistent uptrend.
- The gap between software and semiconductor trend strength is now the largest on record, highlighting a historic divergence within tech.
- Both sectors moved in lockstep during the 2022 bear market (with 0% of stocks above their 200‑day), but have since completely decoupled.
- The Software index is down about 30% since November and is trading near its lowest levels since April 2025, reflecting intense pessimism.
- The Semiconductor & Semiconductor Equipment index has been roughly flat over the same period and remains near all‑time highs.
- Software stocks are more out of favor than ever, which increases both the potential long‑term opportunity and the near‑term risk for retail investors.
The historic software–semiconductor gap
For the first time since the April 2025 bottom, every stock in the S&P 500 software universe is trading below its 200‑day moving average, which is an unusually broad sign of sustained selling pressure rather than a problem limited to a few weak names. At the same time, nearly nine out of ten semiconductor and semiconductor‑equipment stocks are above this long‑term trend line, showing strong momentum and continued buyer demand in that industry.
Both sectors previously moved together during the 2022 bear market, when the percentage of stocks above their 200‑day moving averages fell to 0% in both groups, reflecting uniform pain across growth and cyclical tech. Since then, however, they have dramatically decoupled: software has rolled over again while semiconductors have powered higher.
Representative software and semiconductor names
Below is a sample of notable companies and tickers from each industry that many retail investors follow within or alongside the S&P 500 universe.
Major software companies
- Adobe – ADBE (creative and marketing software).
- Salesforce – CRM (enterprise CRM and cloud applications).
- Intuit – INTU (tax and small‑business financial software).
- ServiceNow – NOW (workflow and IT service management).
- Autodesk – ADSK (design and engineering software).
- Akamai Technologies – AKAM (security and content delivery).
- Paycom Software – PAYC (HR and payroll SaaS).
- Palo Alto Networks – PANW (cybersecurity platform).
- CrowdStrike – CRWD (endpoint security and threat detection).
Major semiconductor and equipment companies
- Nvidia – NVDA (GPUs and AI accelerators).
- Taiwan Semiconductor Manufacturing – TSM (leading foundry).
- Broadcom – AVGO (networking and specialty chips).
- Intel – INTC (CPUs and data‑center chips).
- Advanced Micro Devices – AMD (CPUs and GPUs).
- Micron Technology – MU (memory and storage).
- Applied Materials – AMAT (chip‑fabrication equipment).
- Lam Research – LRCX (wafer‑fabrication equipment).
- ASML – ASML (EUV lithography systems).
- Texas Instruments – TXN (analog and embedded processing).
What the numbers mean for software
The fact that every software name sits below its 200‑day moving average tells you sentiment is deeply negative and selling has been both broad and persistent. A roughly 30% drop in the software index since November, with prices back near the April 2025 lows, suggests investors have largely given up on the group in the short term.
Historically, such washed‑out conditions often appear late in a downtrend, when fear and frustration peak, but they do not guarantee an immediate bottom or a quick rebound. For retail traders, this backdrop implies that software may offer attractive long‑term entry points in quality names, but it also carries elevated volatility and the risk of further drawdowns if earnings disappoint or macro conditions worsen.
Why semiconductors still look strong
In contrast, the semiconductor and semiconductor‑equipment index has been roughly flat since November and sits near all‑time highs, even as software has been crushed. The high share of names above their 200‑day moving average shows that buyers continue to reward the sector’s role in artificial intelligence, cloud computing, automotive electronics, and data‑center expansion.
This strength, however, comes with its own risks. When a sector is near records and widely recognized as a winner, expectations can become stretched, and any slowdown in demand, inventory correction, or regulatory shock can trigger sharp corrections. Retail traders need to recognize that “strong uptrend” does not mean “low risk” and that semiconductors, by nature, remain one of the more cyclical corners of the market.
How to trade this gap in 2026 as a retail investor
For 2026, a reasonable base case is that software gradually stabilizes as interest‑rate expectations settle and corporate IT budgets normalize, with the financially strongest, cash‑generating companies likely to lead any recovery. Traders with a multi‑year horizon might consider accumulating positions in stages, using dollar‑cost averaging and strict position sizing to manage the risk of further near‑term weakness.
Semiconductors, meanwhile, may continue to benefit from powerful structural trends such as AI and high‑performance computing, but returns from here are likely to be bumpier and more dependent on the economic cycle and inventory dynamics. Retail traders can approach the sector with a combination of smaller, diversified positions, predefined stop‑loss or risk rules, and an acceptance that periodic corrections are normal in an otherwise strong long‑term uptrend.
A pragmatic approach is to avoid an all‑or‑nothing bet: hold some exposure to both sectors, tilt slightly toward the one that better fits your time horizon and risk tolerance, and let position size—not prediction confidence—be your main risk‑management tool. Short‑term traders may focus on momentum and breakouts in semiconductors while treating software as a mean‑reversion or turnaround opportunity, whereas longer‑term investors can prioritize balance‑sheet strength, durable revenue growth, and sensible valuation across both groups.
How Tickeron AI trading bots fit into this landscape
In an environment where software is deeply out of favor and semiconductors are near highs, systematic tools can help retail traders avoid emotional, headline‑driven decisions. Tickeron’s AI trading bots are designed to scan markets continuously, applying financial learning models that combine pattern recognition, technical indicators, and historical behavior across sectors like software and semiconductors.
These models aim to identify high‑probability setups—such as oversold bounces in software or trend‑following entries and risk‑managed exits in semiconductors—without the trader needing to monitor every chart in real time. Retail users can follow or copy specific bots that match their preferred time frame and risk level, using them as a disciplined framework for entries, exits, and position sizing rather than relying solely on gut feel in a highly polarized market.