U.S. equity benchmarks retreated after a jump in U.S. bond yields pressured the market, halting a short-term rally and trimming session gains. Even so, the broader market has shown notable resilience year-to-date, with the S&P 500 trading about 11% higher this year even as interest rate expectations have moved up.
Amid that backdrop, a subset of technology companies focused on semiconductors, silicon substrates and enterprise hardware continues to outperform. A machine-learning driven portfolio labelled here as the Tech Titans strategy returned +10.89% month-to-date, beating the S&P 500’s +0.98% MTD performance and bringing cumulative returns since the strategy’s inception to over +212%.
Performance this month has been concentrated in infrastructure-related breakouts, where the strategy achieved a 93% hit rate across selected tech-infrastructure positions. The results point to businesses with strong underlying operations continuing to post gains despite broader macro headwinds.
Top September movers highlighted by the model
- Arm (NASDAQGS:ARM): +41.62% in September alone
- Intel (NASDAQGS:INTC): +37.80% in September alone
- AMD (NASDAQGS:AMD): +33.72% in September alone
- Soitec (ENXTPA:SOI): +36.27% in September alone
- SKS Technologies Group (ASX:SKS): +32.51% in September alone
These September gains are part of a broader pattern of strong performance by earlier picks in the same model-driven universe. Members who were positioned prior to these moves have also seen large multi-month and multi-quarter gains.
Longer-term compounders in the model
- Everforth (NYSE:EFOR): +88.78% since being picked
- Consensus Cloud Solutions (NASDAQGS:CCSI): +67.60% since being picked
- Lenovo Group (SEHK:992): +276.44% since being picked
- MediaTek (TWSE:2454): +259.47% since being picked
The strategy’s cumulative performance since the official launch of the AI models in November 2023 stands at +212.50%, outpacing the S&P 500 by approximately +130.58% over the same period. Those returns reflect the aggregated results of the monthly stock-selection and rebalancing process the model employs.
How the AI-driven selection works
The selection engine underpinning these outcomes evaluates a very large global stock universe, applying investor-grade financial research methodologies integrated with machine-learning systems. The system reviews more than 60,000 global equities and processes historical data and forward-looking metrics to isolate companies where fundamentals and growth prospects point to potential outsized moves ahead of wider market recognition.
At the start of each month the proprietary model sifts through over 15 years of financial data and more than 150 quantitative models to generate up to 20 high-conviction names per strategy. Each strategy is rebalance-driven: new opportunities are added, persistent performers are retained, and names that no longer match the criteria are removed. To track performance consistently, the portfolio applies equal weighting across selected positions.
Model case studies: what the engine signalled before rallies
The models provided detailed rationales ahead of several of the rallies. Two illustrative examples are Consensus Cloud Solutions and MediaTek, each flagged before substantial share-price appreciation based on a combination of valuation, profitability, growth signals and strategic partnerships.
Consensus Cloud Solutions (NASDAQGS:CCSI) was highlighted by the model earlier in the year before the stock bounced after consecutive quarterly earnings beats. The model emphasised several points:
- Compelling discounted valuation - the company was trading at a P/E of 5.4, noted as low relative to peers.
- Exceptional profitability and cash flow - an 80% gross profit margin and a 42% operating margin alongside free cash flow that had increased year-over-year.
- Corporate growth momentum - corporate customers grew mid-teens year-over-year, and the company produced quarterly free cash flow and revenue that supported the bullish signal.
- Analyst fair value targets that implied meaningful upside from the then-current share price.
- Strategic industry positioning through partnerships, which framed the company’s opportunity in higher-value cloud services.
As a result of these factors the model identified Consensus Cloud Solutions as a high-conviction idea; following earnings and corporate developments the stock rallied, contributing to a +67.60% gain since it was picked.
MediaTek (TWSE:2454) was another company the engine flagged, this time in April, prior to what became a multi-hundred-percent advance. The model highlighted the following considerations before the surge:
- Discounted valuation after a sharp pullback that left the stock trading well below analyst targets.
- Acceleration in AI and data-center opportunities, with management and partners positioning the company to capture growing enterprise demand.
- Material strategic partnerships and design wins that were expected to lift data-center AI revenue trajectories.
- Sales momentum and successful product rollouts in mobile processors that supported near-term revenue execution.
- Broader diversification into high-margin segments such as automotive and IoT as additional upside catalysts.
When these signals aligned, MediaTek’s shares subsequently rallied more than 250% from the point at which the model flagged the name, reflecting both partner-driven demand and improving market sentiment.
Access and membership notes
Members of the InvestingPro service were able to view and act on the monthly-updated stock lists that fed into the Tech Titans strategy. The platform presents the model’s rationale for each selection and removal so members can see the quantitative and qualitative drivers the engine used at the time it made decisions. Since the model’s November 2023 launch, the composite strategy has delivered the cumulative +212.50% return cited earlier.
Subscription references and access points were provided for users of both the mobile app and the web experience, as part of the membership offering that exposes the full roster of monthly picks and the supporting model rationales.
Closing perspective
Even with episodic macro volatility, the AI-driven selection process concentrated on tech infrastructure names has captured significant upward moves in companies positioned to benefit from the next wave of AI and data-center investment. The approach relies on a blend of valuation signals, profitability metrics and momentum indicators to identify and maintain exposure to companies showing the strongest combination of growth and operational performance.