Overview
The momentum that began with AI and semiconductor names spilled into a much broader set of sectors in June, producing a string of strong moves across healthcare, energy, financials and international markets. The proprietary ProPicks AI engine that scans thousands of equities continued adding high-conviction ideas and trimming or removing positions that no longer meet its criteria. With the monthly rebalance for July only days away, June’s results underscore the breadth of gains the engine has been capturing.
June’s winners and recent performance
Several names added to ProPicks ahead of June’s rebalance produced substantial gains during the month. Examples of stocks that rose sharply in June include:
- Amneal Pharmaceuticals (NASDAQGS:AMRX): +33.57% in June alone
- Onto Innovation (NYSE:ONTO): +26.67% in June alone
- Molina Healthcare (NYSE:MOH): +25.37% in June alone
- Veeco (NASDAQGS:VECO): +23.93% in June alone
- Allegro MicroSystems (NASDAQ:ALGM): +22.83% in June alone
Beyond these individual cases, the model’s disciplined selection process produced more than 25 rallies of double digits during the month. That pattern of broad participation helped drive the strategy’s cumulative performance since launch.
Longer-run performance since launch
ProPicks AI has recorded a cumulative return of +222.88% since being launched in November 2023. Over that same timeframe the strategy has outpaced the S&P 500 by +149.5%. Those returns reflect the published, real-world trading results recorded since the models went live.
Among the names that remain standouts after being selected by the engine are:
- Consensus Cloud Solutions (NASDAQGS:CCSI): +71.91% after being picked
- Molina Healthcare (NYSE:MOH): +69.15% after being picked
- Cardinal Health (NYSE:CAH): +52.51% after being picked
- Nucor (NYSE:NUE): +62.35% after being picked
- Haemonetics (NYSE:HAE): +49.21% after being picked
Global reach: Asia and other international gains
These rallies were not confined to U.S. listings. Across Asia, ProPicks members tracked similarly large moves. Examples from June include Dian Swastatika (IDX:DSSA) rising +69.14%, Kingboard Chemical (SEHK:148) up +65.65% in June alone, and Tokyo Electron (TSE:8035) climbing +35.21% in June. The list of stocks that have extended gains to more than triple digits since selection also continues to expand.
Some of the names that have produced very large cumulative returns since selection by ProPicks AI include:
- Kingboard Chemical (SEHK:148): +505.05% since chosen
- Nordex SE (XTRA:NDX1): +205.34% since chosen
- ASE Industrial (TWSE:3711): +162.81% since chosen
- MediaTek (TWSE:2454): +185.32% since chosen
- Dogu Aras Enerji Yatirimlari AS (IBSE:ARASE): +117.89% since chosen
- Lenovo Group (SEHK:992): +150.72% since chosen
Upcoming rebalance and access
With the July rebalance scheduled within days, the models are re-evaluating every position in the portfolios. ProPicks publishes a refreshed list each month: the strongest opportunities are retained and new names are added while positions that no longer meet the model’s thresholds are removed.
Members who wish to view the active June portfolio or review the model’s rationale for each selection can access those materials before the July list is published. The platform provides subscription options for both app and web users; messaging in the service directs app users and web users to separate subscription links to obtain full access to the portfolios and rationales.
How the AI identifies opportunities
The engine applies investor-grade financial research and machine learning to a broad universe. According to the published methodology, ProPicks AI analyzes more than 60,000 stocks worldwide and processes more than 15 years of financial data across more than 150 quantitative models. Those inputs are combined to identify up to 20 high-conviction stocks per strategy each month, selected on the basis of projected medium-term upside potential.
Each monthly strategy undergoes a strict rebalancing routine: new ideas are added, established winners may be retained, and stocks that no longer meet the screening criteria are removed. For transparency, each strategy uses equal weighting across its selected holdings to provide a clear performance benchmark, although individual investors can choose alternate allocations.
Detailed case studies: Amneal and Molina
Two recent high-conviction selections illustrate the type of fundamental signals the models are designed to capture.
Amneal Pharmaceuticals (AMRX)
- Performance: The stock was up +33.57% in June alone following the model’s selection.
- Momentum: Before the June run the stock had already returned about 80% over the prior year, while analyst price targets close to $17 implied roughly another 30% upside from prevailing levels.
- Margins and profitability: Gross margins expanded by 500 basis points year-over-year and were on track to reach about 45% for the current year; adjusted EBITDA increased 19% in Q1 2026.
- Biosimilar opportunity: The acquisition of Kashiv BioSciences was seen by the model as opening access to a greater than $100 billion biosimilars market, with six commercial products expected by 2027 and combined revenue targets of $4.3–$4.5 billion by 2030.
- Valuation disconnect: A PEG ratio of just 0.04 was flagged as indicating the stock was meaningfully undervalued relative to its growth profile, even after a quarter in which earnings beat forecasts by about 65%.
These data points illustrate the combination of momentum, margin expansion, addressable-market growth and valuation disconnect that the engine identified before the stock’s June appreciation.
Molina Healthcare (MOH)
- Performance: Molina rose +25.37% in June and is +69.15% since being selected in April.
- Valuation entry: At the time of selection the stock was trading at roughly 37% of its 52-week high; analyst targets in the $150–$195 range implied substantial upside from an approximately $133 entry level flagged by the model.
- Revenue growth: Total revenue was running about 11% higher, exceeding $43 billion, and the model identified more than $9 billion in potential upside from new Medicaid contracts.
- Earnings and balance sheet: Management-described cost pressures were treated as temporary, with embedded earnings power estimated to exceed $11 per share as conditions normalize. The company was noted to carry more cash than debt and to hold a "GREAT" financial health rating — attributes the model considered supportive of a turnaround thesis.
Rotation and risk management: the Asana example
Knowing when to rotate out of positions is a central element of the monthly rebalance process. Asana (NYSE:ASAN) serves as an example of the engine’s exit discipline.
The model added Asana in April when the stock was trading at roughly one-third of its 52-week high. Subsequent fundamental updates appeared supportive: Q4 FY2026 results beat on revenue and earnings, with revenue reported at $205.6 million (about +9% year-over-year). AI Studio reached more than $6 million in annual recurring revenue in the quarter, expanding by over 50% within a single quarter. Margins had moved from roughly -6% to +7% over a year, and gross margins remained about 89%.
ProPicks members captured the move: the system entered Asana at $6.33 and the position rose to $9.07, a realized gain of 43.3% at the start of June. The stock then reversed, falling 23%, and the engine triggered an exit.
The model’s exit rationale included:
- Market lag: The stock had declined around 57% over the prior year and was trading at roughly 41% of its 52-week high even after the bounce, meaning it was underperforming the broader market.
- Valuation concerns: The company remained GAAP unprofitable with an operating margin around -17%, while price-to-book near 13x was seen as difficult to justify given revenue growth of roughly 9–10%.
- Cash and compensation pressure: Stock-based compensation was running at nearly twice free cash flow, and a roughly $75 million acquisition introduced additional near-term financial strain.
The decision to exit did not represent a negative read on the business fundamentals; product adoption and gross margins were still strong. Rather, the rotation reflected the model identifying superior risk-reward prospects elsewhere in the portfolio.
Transparency and member access to model rationale
ProPicks AI provides a detailed rationale for each selection and removal. For each pick the models publish the indicators that drove the decision, enabling members to understand the positioning behind each monthly rebalance. Members can also access the full June list and its documented rationales prior to the July refresh.
For those who are not members, the service reiterates subscription options for both app-based and web-based access to the active portfolios and the underlying analytical outputs.
Methodology summary
Each month the proprietary system evaluates a universe of thousands of global equities by blending historical financial records, valuation signals and forward-looking growth metrics. The published approach cites:
- More than 60,000 stocks reviewed
- Over 15 years of financial data processed
- More than 150 quantitative models applied
- Identification of up to 20 high-conviction stocks per strategy
Strategies are rebalanced monthly with equal-weight allocations across selected stocks to provide a consistent benchmark for model-level performance, while allowing investors to tailor allocations to their own preferences.
Bottom line
The ProPicks AI engine continued to capture a wide range of winners across sectors and geographies in June, contributing to a robust cumulative return since its November 2023 inception. With the next monthly rebalance imminent, members have an opportunity to review the active June portfolio and the models’ documented rationales before the July list is published.
App users and web users seeking full access are directed to the platform’s subscription pathways for the current portfolio, the rationale supporting each selection, and to receive the forthcoming July picks as soon as they are released.