Markets shifted their attention away from near-term geopolitical stress and toward what is expected to be a robust earnings season for the S&P 500, with analysts projecting an average year-on-year earnings-per-share improvement of 13.2% and a wave of upward revisions. That environment - combined with institutional flows seeking high-growth and undervalued opportunities - helped fuel a broad recovery in names that had been marked down during the Iran-US episode.
Within that context, investors following a machine learning-driven stock selection strategy captured notable gains in April. The AI-curated list produced an unusually large set of winners for the month, spanning several sectors including AI infrastructure, software, banks, healthcare, industrials, and semiconductor suppliers.
Performance snapshot
The AI strategy delivered a cluster of strong monthly returns. Across the list provided to subscribers, there were:
- Twenty-three stocks that rose more than 20% in April;
- Ten names that climbed in excess of 30%;
- Three stocks that surged more than 40%;
- And 52 selections that gained at least 10% during the month.
Representative April results highlighted by the model included:
- Hims & Hers Health (NYSE: HIMS) - up 54.03% in April;
- Teradyne (NASDAQ: TER) - up 33.91% in April;
- Herc Holdings (NYSE: HRI) - up 30.22% in April;
- Wingstop (NASDAQ: WING) - up 30.72% in April;
- Texas Instruments Incorporated (NASDAQ: TXN) - up 41.18% in April;
- Entegris (NASDAQ: ENTG) - up 31.40% in April.
Crucially, every stock included in the composed list ended April in positive territory for the month, translating to positive returns for investors who followed the model both for the month and on a year-to-date basis, as well as since the strategy's launch in November 2023 for U.S. stocks.
Access and timing
Subscribers to the platform's premium service received the list for April. For those who were not subscribed last month, the good news is that a new, updated roster of AI-selected equities is scheduled for publication on the first day of May, only days away. The announcement advised prospective members that app-based and web-based subscription paths are available to obtain the full list of picks.
The composite selection of stocks has performed strongly since the model's U.S. launch in November 2023, with the assembled list up +182.29% since inception. That translates to an outperformance of +117.11% versus the S&P 500 across the same period. The record presented for these returns is based on live results since the AI stock picker went live for U.S. equities in November 2023 and for global equities beginning January 2025.
How the AI explains its choices
One feature of the model is that it generates explanatory rationales for each selection, providing subscribers with the machine learning engine's reasoning behind both additions and removals. The AI's commentary for April's selections illustrates the kind of factors it weighs - momentum, growth trajectory, valuation trends, and sector-specific demand signals.
For example, the model's write-up on Texas Instruments detailed why it was included as a momentum-oriented pick with improving value characteristics:
Texas Instruments was selected by our ML engine for its compelling combination of strong market momentum, accelerating growth, and an improving value outlook.
The stock returned approximately 40.4% month-to-date, following a significant earnings beat. Reported Q4 2025 revenue grew 10% year-on-year, while free cash flow jumped 96% - a move the model highlighted as a meaningful improvement in cash generation.
Analysts' projections pointed to free cash flow exceeding $8 per share for 2026 as heavy factory investment cycles conclude. The company’s industrial and data center end markets now account for roughly 75% of revenue, with the data center segment alone growing near 65% year-on-year.
Additionally, the announced acquisition of Silicon Laboratories for $7.5 billion brings over 1,200 wireless products and is expected to yield about $450 million in annual cost synergies, positioning the firm for broader exposure in Edge AI and IoT markets - a dynamic the model flagged as supportive of the current valuation case.
Likewise, Entegris was cited as a high-conviction play due to market momentum and AI-driven semiconductor demand:
Our ML engine selected Entegris based on standout market performance, compelling growth drivers, and room for further upside.
The stock rose roughly 74% over the prior three months and was about 57% higher year-to-date, driven by a robust earnings beat. Q4 2025 EPS of $0.70 exceeded expectations by about 6%, and revenue of $824 million also surprised to the upside.
The model emphasized that AI-related demand at advanced semiconductor nodes - and shifts toward high-bandwidth memory - should accelerate revenue in the second half of 2026. The AI also noted that several analyst price-target upgrades pointed to meaningful upside from the then-current price.
A case study - ViaSat Inc.
The AI strategy's handling of ViaSat Inc. (NASDAQ: VSAT) illustrates how the model both rotates into and out of positions as underlying fundamentals and valuation dynamics change. Over 2025, the strategy recorded one of its largest wins on ViaSat, ultimately generating a cumulative return in excess of 164% for members who held the trades identified by the AI.
The AI first selected ViaSat in August 2025, at which point the model noted the company's exceptional momentum and signs of strategic transformation:
The ML engine highlighted strong market performance - with multi-month price returns across 3- and 6-month windows and a year-to-date surge - combined with attractive book-value metrics. The company reported revenue that beat forecasts and showed EBITDA expansion, while recent earnings metrics were less negative than expected.
At that time, an activist investor had a stake and proposed a potential Defense unit spin-off that the AI flagged as a possible material revaluation catalyst. A pending infusion from a legal settlement and other operational improvements were cited as factors supporting financial flexibility.
The AI rotated out of ViaSat in September 2025 following a rapid price appreciation and resulting valuation concerns. That exit coincided with a near-term pullback of -9.37%, and the model's stated reason for the removal was that an extraordinary run-up had created an unfavorable valuation outlook compared with peers despite continued operational positives.
The engine re-entered ViaSat in October 2025 after a fresh set of results and catalysts showed improving cash flow and ongoing operational momentum. At that point, the model again highlighted revenue beats, positive free cash flow generation, and robust backlog growth in the defense segment as drivers justifying renewed exposure. Shortly thereafter, after the trade delivered an overall gain of 164%+, the AI removed the stock from the strategy permanently due to extreme rally-driven valuation concerns and continued challenges around profitability ratios and leverage.
The ViaSat chronology in the AI model underscores a disciplined approach of adding exposure when medium-term fundamentals and valuations align and trimming or removing positions when price action outpaces the model's assessment of sustainable value.
Selection mechanics and portfolio construction
At the start of each month, the machine learning model refreshes strategy lineups with up to 20 stock choices. The selection process synthesizes more than 150 established financial models trained on upwards of 15 years of global financial data. The model's monthly reassessment can add new names, retain existing positions that remain attractive, or remove stocks that no longer meet its criteria for medium-term growth potential.
For performance measurement, the strategy assigns equal weight to each selected stock. That equal-weight framework provides a consistent benchmark for evaluating the model's ability to identify opportunities across sectors. Subscribers are not required to replicate the weighting exactly but are offered it as a transparent method to track the strategy's realized returns.
The platform emphasizes that stock picking remains probabilistic in nature; the objective is not to guarantee winners but to find a favorable risk-reward trade-off and to reposition as conditions change. The model's historical record since its U.S. launch in November 2023 includes multiple notable successes attributable to this disciplined, data-driven approach.
Subscription pathways and member resources
Subscribers can access the full lists of monthly picks and the ML-generated rationales through both app and web channels. The platform provided explicit subscription links for app users and web users to obtain the complete set of selections and the model's supporting commentary ahead of the May refresh.
For those evaluating specific company exposure, the platform offers tools that compare the model's current selections across hundreds of names using its quantitative framework. The service highlights past winners identified by the AI, and notes that the engine's monthly reviews cover fundamentals, momentum patterns, and valuation metrics.
Performance disclosure and caveats
The returns cited for the strategy represent live results since launch - November 2023 for U.S. stocks and January 2025 for global equities. The platform states that prices mentioned in commentary were accurate at the time of publication and that offers for members may vary by region. It also reiterated that portfolio rotations executed by the AI reflect model-driven decisions rather than direct sell signals intended for all investors.
Additional examples and product positioning
Beyond the April winners noted above, the AI referenced several prior winners and the way it contextualizes selections. The model's historical examples include high-performing picks across industries that benefited from sentiment shifts, earnings beats, or structural market tailwinds identified by the engine.
Subscribers interested in testing whether a specific name such as TXN is included in any live strategy can use the platform's screening tools and comparison features. The model evaluates each company across more than 100 financial metrics, aiming to identify opportunities that combine favorable fundamentals with momentum and valuation characteristics.
What this means for market participants
The recent performance of the AI-curated lists illustrates how automated, model-driven selection can exploit short- to medium-term momentum and fundamental inflection points across market segments. Semiconductors, industrial suppliers to data centers, select consumer-oriented franchises, and certain healthcare and services names moved sharply as earnings and sector dynamics shifted - and the AI process captured many of those moves.
That said, the strategy's own history - including the ViaSat example - also shows the importance of active rotation and valuation discipline. The model's stated practice of removing positions after extreme rallies underscores that the process is not solely momentum-chasing; it incorporates reassessments of medium-term value and profitability trends.
Upcoming schedule
The updated AI-curated list of up to 20 stock picks will be released on the first of May. Prospective subscribers were reminded that app and web subscription channels are both available to retrieve the new list immediately upon publication.
For current subscribers, the platform made the April list and full rationales accessible through member pages; for non-subscribers the May list will be the next opportunity to evaluate the model's latest month-ahead selections.
Closing note
The combination of a favorable earnings outlook for the S&P 500, recorded positive revisions, and renewed institutional interest created a backdrop in which model-driven stock selection captured a significant number of high-single-digit and multi-decade-percent winners in April. Whether that pattern continues will depend on the interplay of earnings results, sector demand - particularly in AI-related semiconductor and data-center markets - and valuation-realization dynamics as the AI refreshes its monthly slate of positions.