U.S. equity benchmarks reached new highs as investors continue to chase AI-related growth themes, a trend reinforced by continued strength in Asian semiconductor stocks after upbeat demand signals tied to Nvidia. Yet optimism remains circumscribed; conflicting media accounts of talks between U.S. and Iranian officials have kept broader sentiment cautious and left U.S. futures trading without a clear directional bias.
For market participants, that combination - record-level indices and geopolitical uncertainty - creates a difficult trading backdrop. The decision to respond to headlines or to follow objective data becomes central to execution. A data-centric approach underpinned by automated models is the strategy being promoted to cut through the noise and identify opportunities that the market has not yet fully priced.
How the model-driven calls performed in May
Subscribers to an AI-based equity selection service received a roster of high-conviction names at the start of the month. Several of those names produced rapid gains in May, delivering near-term returns that ranged from the mid-teens to just above +20% during the month alone. The list of May winners reported includes:
- Republic Airways Holdings (NASDAQGS:RJET): +20.08% in May alone
- Fair Isaac (NYSE:FICO): +18.60% in May alone
- Teradata (NYSE:TDC): +17.20% in May
- NGL Energy Partners LP (NYSE:NGL): +16.46% in May alone
- Iridium (NASDAQGS:IRDM): +15.87%
- Alexandria (NYSE:ARE): +15.61% in May
- Check Point Software (NASDAQGS:CHKP): +15.04%
In addition to these names, subscribers saw a broader set of double-digit rallies across other sectors during May.
Why the models flagged specific names - a closer look
Two of the month’s most prominent contributors to short-term gains were Republic Airways Holdings and Fair Isaac. In both cases, the AI-driven approach prioritized observable, quantitative signals underpinning the companies’ near-term earnings trajectories and structural positioning.
Republic Airways Holdings (RJET)
Republic validated the setup identified by the models with a strong first-quarter release. Reported results showed a 34% year-over-year revenue increase to $527 million and a 30% rise in block hour production, both figures beating consensus expectations. Management also reaffirmed full-year 2026 revenue guidance in excess of $2 billion, strengthening confidence in the company’s outlook.
The company’s operational story included accelerated integration of Mesa Air Group, expansion and upgrades of its E175 fleet, and an active debt-reduction program intended to push net leverage below 2.2x by year-end. Those elements combined to create an improved earnings and cash flow profile that the models interpreted as attractive.
From a valuation and operational perspective, the data points emphasized by the model were:
- Discounted valuation - the stock traded below book value near roughly 0.79x price-to-book and sat near 80% of its 52-week high despite improving fundamentals.
- Accelerating financial performance - revenue reported a roughly 14% climb to $1.68 billion while EBITDA expanded by approximately 31%, signaling rising operational leverage.
- Transformational merger catalyst - the completed, debt-free integration with Mesa Air Group formed a fleet totaling about 310 Embraer jets and an estimated $2 billion revenue run rate.
- Stable long-term contracts - multi-year agreements with United, American, and Delta provided predictable revenue and cash flow visibility.
Those inputs combined to position RJET as one of the month’s top performers, with a reported gain of +20.08% in May and +25.57% since the stock was first selected prior to the Q1 results.
Fair Isaac (FICO)
Fair Isaac delivered a quarter the models had detected as outsize before the wider market fully reacted. The company reported a 39% year-over-year revenue increase to $692 million and earnings per share of $12.50 - results characterized in the service as well above Wall Street forecasts. Management subsequently raised full-year revenue guidance to $2.45 billion and announced a $605 million share buyback program, the largest in the company’s history.
The model highlighted a valuation gap created when the stock pulled back to roughly half of its 52-week high despite the accelerating top-line and bottom-line performance. Key data points informing the selection were:
- Accelerating growth - revenue growth of 39% coupled with earnings that beat forecasts by roughly 15%.
- Exceptional profitability - a gross margin near ~84% and an operating margin expanding toward 65%.
- Aggressive capital return and confidence - a $605 million buyback concurrent with higher guidance provided a strong signal of internal conviction.
Those underlying fundamentals were the basis for the model’s call; traders who acted on the setup recorded a reported +18.60% return in May alone.
Other notable model-identified winners and locked-in profits
Beyond the immediate May performers, the service also listed historical locked-in gains across earlier months and ongoing long-duration rallies. Sample returns reported since the model’s launch include locked-in profits of:
- SanDisk Corporation (NASDAQ:SNDK): +189.1% locked-in profit in January
- Fortrea Holdings Inc (NASDAQ:FTRE): +76.6% locked-in profit in January
- Victoria’s Secret & Co (NYSE:VSCO): +113.6% locked-in profit in February
- InnovAge Holding Corp (NASDAQ:INNV): +63.8% locked-in profit in February
- Tronox Holdings (NYSE:TROX): +55.9% locked-in profit in March
- Par Pacific Holdings (NYSE:PARR): +44.5% locked-in profit in March
- Profrac Holding (NASDAQGS:ACDC): +47.9% locked-in profit in April
- PBF Energy (NYSE:PBF): +45.8% locked-in profit in April
Additionally, some of the longer-term rallies users are currently holding include Texas Instruments (NASDAQGS:TXN), which the service reports is up +40.68% after being picked by the model, and Nucor (NYSE:NUE), reported up +33.46% post-selection.
Model performance and methodology
The equity-selection engine described evaluates thousands of global companies at the start of each month. It processes more than 15 years of financial data across more than 150 quantitative models, blending historical information, valuation measures, and forward-looking growth metrics. The result is an annualized-like selection process that identifies up to 20 high-conviction stocks per strategy, based on projected medium-term upside potential.
Each month the strategies are rebalanced. New names that meet thresholds are added, consistent performers are retained, and stocks that no longer satisfy the selection criteria are removed. To track results transparently, the strategies use equal weighting across selected stocks, though investors are free to adjust allocations themselves.
The service reports a cumulative return of +191.02% since the model’s official launch in November 2023 and claims an outperformance versus the S&P 500 of +115.79% over the same period. Members accessing these AI-powered models for less than $9 a month are stated to be executing this data-driven approach.
Timing and the next rebalancing window
The communication emphasizes urgency around the upcoming monthly picks. The models are described as preparing the next set of portfolio updates with new AI-selected stocks slated for release in early June. The messaging to potential subscribers is to act ahead of the next selection if they wish to align with the next wave of flagged opportunities.
Existing members are directed to review the full list of May picks and prepare for June, while new subscribers are given instructions on how to subscribe via app or web.
Risks and cautions embedded in the narrative
The market context section of the underlying reporting makes clear that geopolitical developments - specifically, conflicting accounts of U.S.-Iran negotiations - continue to influence macro risk appetite, restraining broader gains even as narrow clusters of stocks rally. Additionally, the piece notes that subscription pricing and promotional offers may vary by region, implying variability in access to the model outputs.
Readers are told that each strategy applies a standardized equal-weighting approach for transparent benchmarking, but that they are free to adjust allocations themselves - a reminder that real-world execution can diverge from model results based on individual allocation choices.
Bottom line
Market breadth remains uneven: headline indices hit record levels driven in part by AI-related demand, while geopolitical headlines limit full market conviction. Within that environment, a quantitative, data-focused screening process identified a set of high-conviction names that produced double-digit returns in May. The reported performance and the timing of the next monthly selections are positioned as reasons for investors to consider a disciplined, data-led approach rather than headline-driven trading.