Stock Markets July 31, 2026 04:56 AM

Stock-pickers Take Center Stage in July as AI-Driven Selections Deliver Big Gains

A rotation away from mega-cap tech left room for fundamentally stronger, cash-flow-improving names — our AI's August list is due tomorrow

By Nina Shah
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July favored active stock selection as capital moved away from the concentrated gains in large technology names into a broader set of equities. The S&P 500 Equal Weighted index hit new highs even as the Nasdaq 100 fell 6.5% for the month. Positive earnings from Microsoft and Amazon helped a late-month rebound, but the month underscored the importance of improving margins and free cash flow. Our machine-learning model, which screens the market with more than 150 financial models, produced several large winners in July, including Everforth, PBF Energy and others. The full list of AI picks for August will be released tomorrow.

Stock-pickers Take Center Stage in July as AI-Driven Selections Deliver Big Gains
MSFT AMZN EFOR PBF THC
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Key Points

  • Capital rotated away from big tech in July, with every sector of the S&P 500 except technology receiving significant inflows.
  • S&P 500 Equal Weighted reached record highs while the Nasdaq 100 fell -6.5% for the month; late-month earnings from MSFT and AMZN helped a partial rebound.
  • The AI model uses 150+ financial models and historical data to produce up to 20 stock picks monthly; several July picks delivered large gains, including Everforth and PBF Energy.

July emerged as a month that rewarded selective stock picking more than broad, passive exposure. After a stretch of relative underperformance by the largest technology names - tied to what market participants have described as a historic shift in cash flow within the cloud and AI infrastructure ecosystem - capital redistributed across sectors, leaving every sector of the S&P 500 except technology to register notable inflows.

The consequence was a divergence between the capitalization-weighted and equal-weighted measures of the market. The S&P 500 Equal Weighted index continued to reach record levels, while the Nasdaq 100 posted a -6.5% decline for the month. A narrow recovery in the final two trading days, supported by stronger-than-expected earnings from Microsoft Corporation (NASDAQ:MSFT) and Amazon.com Inc (NASDAQ:AMZN), offered relief for AI-focused investors, but the broader lesson was clear: in the current phase of the market, firms with improving margins and free cash flow profiles materially outperform.

For investors who emphasize company fundamentals - cash generation, margin expansion and sustainable growth - July presented multiple attractive opportunities. That is precisely the type of environment where our machine-learning stock-selection engine is designed to add value. The model evaluates each company through a suite of more than 150 financial and valuation frameworks and updates strategy lists at the beginning of every month.

One striking example from July was digital engineering small-cap Everforth Inc (NYSE:EFOR). Our AI added the stock to the July list on the first day of the month. On the following trading session the share price rose +17.7%, and by month-end Everforth finished with an exceptional roughly 57% gain for July according to the performance cited by our platform. That single example illustrates how targeted, fundamentals-driven selection can produce concentrated upside during a month when mega-cap tech faced headwinds.

Members of our InvestingPro service who followed the AI-curated selections saw a number of high-return outcomes in July. Examples of AI picks and their quoted returns for the month include:

  • Trinet Grou (high-conviction pick): +34.74% in July
  • PBF Energy: +52.16% in July
  • Tenet Healthcare: +32.18% in July
  • Everforth: +57.00% in July
  • Dorian LPG Ltd: +34.52% in July
  • Mitsui Matsushima Co Ltd: +53.43% in July
  • Indika Energy: +46.11% in July
  • Diamond Power Infrastruct: +53.73% in July

These results are representative of the concentrated winners the model identified when the market tilted toward stocks showing improving fundamentals. They also illustrate the cross-sector nature of July's leadership, ranging from energy and industrials to small-cap technology and maritime LPG shipping.


Why Everforth was highlighted ahead of its rally

Alongside raw selections, one of the model's capabilities is to provide a rationale for each pick. In the July selection set, Everforth was chosen for a combination of deep value attributes and identifiable growth catalysts. The AI highlighted several points supporting the call:

  • Substantial share-price depreciation earlier in the year, leaving the stock trading roughly 29% of its 52-week high.
  • Consensus analyst targets and independent fair-value models pointing to about 65-70% upside from the then-current price near $18, with analyst targets around $29 and independent fair value near $31.
  • Low valuation multiples on adjusted metrics, including a price-to-earnings ratio near 6x and a share price trading at less than half of book value.
  • Management guidance that implied earnings per share of about $5.74 in 2027, which on the then-price implied a roughly 3x forward earnings multiple.
  • Strategic developments expected to support higher margins and visibility: the acquisition of Quinnox to add higher-margin digital engineering, a rebrand emphasizing AI and technology positioning, inclusion in the Russell 2000 index boosting institutional visibility, and insider buying activity.

The model provided the same depth of rationale for each stock added to its lists, enabling InvestingPro members to see both the valuation case and the strategic or operational catalysts behind selections.


How the AI selects and how strategies are structured

Each month the AI refreshes strategy lists with up to 20 stock picks. The selection process draws on more than 150 established financial models compiled into a machine-learning framework trained on over 15 years of financial data globally. Some positions are newly added, others maintained, and some are removed as the model reassesses medium-term growth potential and relative valuation.

To measure and compare performance, the strategies use equal weighting across all selected securities. That method creates a consistent benchmark for evaluating the model's ability to identify opportunities without concentration in any single holding. Investors are not obligated to follow the equal-weighting approach exactly, but it provides a transparent way to track the model's stock-picking effectiveness.

At its core, the model treats stock selection as a probabilistic exercise. Its value lies not only in finding potential winners but also in identifying positions to exit when the probability profile deteriorates. Since launch, the process has produced multiple notable success stories highlighted in the July performance data.


Access to the August list and membership options

Only for a limited time, the full list of next month's selections will be available at the lowest price offered this year - described as less than $7 per month on selected plans. Existing members will find the complete August picks posted tomorrow on the platform. Prospective members are presented with subscription options within the app and on the web to gain immediate access to the curated lists and their underlying rationales.

App users can subscribe here

Web users can subscribe here

Members who followed the AI's July picks continued a stretch of market-beating outcomes, according to the performance metrics the model reported for the period.


Promotional notes and related tools

The platform also highlights valuation tools and periodic discounts for subscribers. A noted example in the service's promotional material asks whether a given ticker - shown in accompanying tools - is undervalued or a value trap, and promotes a Fair Value calculator that aggregates multiple valuation models. Separately, a time-limited discount for InvestingPro subscriptions was promoted within the service.

App users can subscribe here

Web users can subscribe here


Conclusion

July's market action underscored a rotation away from the most concentrated technology winners and toward names where improving margins and cash flows matter more to near-term returns. That environment favored an active, fundamentals-driven selection process. Our AI's July roster produced several double-digit and multi-fold results across a range of sectors, and the next set of AI-selected stocks for August will be published tomorrow for subscribers.

Risks

  • Concentration risk in AI-selected portfolios: while several names produced large gains, individual picks can be volatile and sector-specific, affecting sectors such as small-cap technology, energy and industrials.
  • Model-dependency risk: selections are driven by the AI’s screen and historical models; if market dynamics shift in ways not captured by the model, performance could lag, impacting diversified indices and thematic sectors like AI infrastructure.
  • Timing and liquidity risk: several AI picks were small-cap or less liquid names, which can amplify price moves and increase execution risk for portfolios focusing on these selections.

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