Choppy trading in major indexes has tested investor patience even after a robust earnings season. Amid rising oil prices, supply disruptions stemming from the Middle East and lingering uncertainty around rate cuts, capital is being redeployed into a concentrated set of semiconductor and AI-infrastructure names that market participants view as core to the next phase of AI-driven spending.
Subscribers accessing an AI-based model for under $9 per month have already been positioned ahead of significant moves among several of the month’s largest chip breakouts. Just over a week into the month, 13 of the 15 picks in a flagship Tech Titans strategy were higher, representing an 87% hit rate across cloud, storage and chip infrastructure names. That basket returned 5.52% month-to-date, versus a 0.55% gain for the S&P 500 over the same period.
Performance and recent moves
Momentum in individual names has been notable. On a single day this week, AMD jumped +5.9% while Hewlett Packard added +7.8%. One high-conviction selection - a global semiconductor incumbent executing a substantial foundry comeback and pushing next-generation silicon - climbed 9.1% in a single session and is up +17.42% in September alone.
The following are selected September winners that members were positioned ahead of:
- Oracle (ORCL): +15% in September alone - surged after securing a global AI infrastructure agreement with Hewlett Packard, supported by strong pre-earnings momentum and analyst upgrades tied to its AI cloud backlog.
- Arm (ARM): +11.37% in September alone - advanced after launching the Neoverse CSS N4 platform and expanding architectural design wins for agentic AI server workloads.
- KLA Corp (KLAC): +10.59% in September alone - gains were attributed to a surge in memory capital expenditure and management raising 2026 Advanced Packaging inspection revenue targets to $1.1 billion, a 70% year-over-year increase.
- Hewlett Packard (HPE): +10.14% in September alone - rose following a multi-year contract to deploy network and server infrastructure for Oracle’s AI data centers.
- AMD (AMD): +10.04% in September alone - climbed as management lifted its 2030 AI market total addressable market estimate to $3 trillion and reported strong demand for next-generation server CPUs and Helios AI systems.
Alongside these names, more than 25 other picks have moved higher by at least 5% so far this month.
Longer-term winners from model picks
The performance extends beyond short-term moves. Several stocks remain substantially higher from the time they were first selected by the strategy:
- Delek US Energy (DK): +101.75% since picked.
- Everforth (EFOR): +76.08% since picked.
- Consensus Cloud Solutions (CCSI): +70.08% since picked.
- Nucor (NUE): +61.04% since picked.
- HF Sinclair (DINO): +53.91% since picked.
Subscribers have been directed to a full list of the September selections through member-only access points. App users and web users were provided separate subscription pathways to unlock the full list.
Spotlight - Intel’s recent surge
The most pronounced single-stock move this month came from Intel (INTC), which leapt roughly 9% in a session and has posted roughly ~487% return over the past year according to what the model flagged. The stock's recent performance has been supported by positive developments across multiple operational vectors: foundry partnerships, pricing initiatives, manufacturing execution and favorable macro policy support.
Early in the month, Northland Securities upgraded Intel to Outperform with a $120 price target, noting foundry exposure to a major third-party manufacturing project. Media reports cited in the market indicated Intel is preparing approximately 10% CPU price increases as part of a margin enhancement effort. Separately, updates that more than 1 million wafers have been processed on ASML’s High-NA EUV equipment were cited as evidence of progress on the fabrication front.
What the AI engine identified in Intel before it moved included a series of measurable signals:
- Price momentum - The model noted striking stock momentum, with the name delivering an estimated ~487% return over the prior year.
- Revenue and guidance trajectory - The company reported Q1 revenue of $13.6 billion, up 7% year-over-year, and had delivered its sixth consecutive quarter of beating guidance.
- AI demand and strategic deals - AI-related revenue was growing at a reported 40% year-over-year, and the company announced notable chip manufacturing agreements, including one with Apple and a reported $5 billion investment from Nvidia.
- Government support for manufacturing - The firm has backing quantified at nearly $8 billion in U.S. government funding tied to its manufacturing expansion.
Model methodology and portfolio mechanics
The AI system employed by the strategy examines thousands of global equities each month using a mix of historical metrics, valuation considerations and forward-looking growth indicators. It processes more than 15 years of financial information across over 150 quantitative models to surface up to 20 high-conviction stocks per strategy based on projected medium-term upside.
Each strategy is rebalanced monthly. That process adds newly identified opportunities, retains strong performers and removes positions that no longer satisfy the model's criteria. For transparency and performance measurement, the strategy applies equal weighting across selected stocks; investors may choose to allocate differently in their own portfolios.
The objective is systematic repositioning toward what the model identifies as the strongest opportunities as market conditions change.
Track record and subscriber proposition
Since its launch in November 2023, the monthly-updated tech picks have produced a cumulative return of +195.56% according to the model's records. That figure equates to a +115.40% outperformance against the benchmark S&P 500 over the same period, based on the model's reported numbers.
Subscribers receive not only the list of tickers but also the model-driven rationale for each inclusion and removal, enabling members to review the factors that led to each positioning decision prior to broader market movement.
For those who have not yet subscribed, the provider offers separate subscription workflows for app and web users to access the full list of selections.
Conclusion
As macro and geopolitical crosscurrents continue to complicate index performance, concentrated flows toward semiconductor leaders and AI-infrastructure names are producing marked dispersion in returns. The AI-based selection strategy highlighted here has produced a high hit rate this month and substantial cumulative gains since its inception, while its methodology and monthly rebalancing seek to maintain exposure to the stocks the model deems best positioned for medium-term appreciation.
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