For details on how these rankings are utilized in both my personal portfolio and The Alpha Engineer Model Portfolio, check out the methodology. My method section provides additional tools and context, while my research demonstrates how the method can be customized to individual preferences.

New top stocks

Understanding the Ranking Terms

• Ticker – Every stock is identified by its primary ticker, based on the country where most of its trading occurs. Non-US stocks include a colon followed by a three-letter country ISO code.

• Name – The official company name.

• Sector – The primary industry sector of the company. While it's useful to ensure portfolio diversification, I don’t actively manage sector weights.

• Country ISO Code – A three-letter ISO standard country code (more details here). My model covers stocks globally to maximize opportunities and minimize market risk, but individual investors can adjust the universe based on personal preference or brokerage limitations.

• Market Cap (USD) – Market capitalization in USD. My strategy primarily targets microcaps (below $300M) and small caps (below $2B). Typically, the model portfolio consists of approximately 80% microcaps and 20% small caps. Note: Microcaps, particularly those between $20M and $50M (nanocaps), are significant contributors to excess returns.

• Current Rank – The stock’s position in the latest weekly ranking (rank 99 = highest rank).

• Previous Rank – The stock’s ranking position in the prior update.

• Liquid – Indicates whether the stock has an average liquidity greater than $50K USD and a stock price above $0.50 USD over the past two weeks.

New Ranking

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For details on how these rankings are utilized in both my personal portfolio and The Alpha Engineer Model Portfolio, check out the methodology. My method section provides additional tools and context, while my research demonstrates how the method can be customized to individual preferences.

New top stocks

Understanding the Ranking Terms

• Ticker – Every stock is identified by its primary ticker, based on the country where most of its trading occurs. Non-US stocks include a colon followed by a three-letter country ISO code.

• Name – The official company name.

• Sector – The primary industry sector of the company. While it's useful to ensure portfolio diversification, I don’t actively manage sector weights.

• Country ISO Code – A three-letter ISO standard country code (more details here). My model covers stocks globally to maximize opportunities and minimize market risk, but individual investors can adjust the universe based on personal preference or brokerage limitations.

• Market Cap (USD) – Market capitalization in USD. My strategy primarily targets microcaps (below $300M) and small caps (below $2B). Typically, the model portfolio consists of approximately 80% microcaps and 20% small caps. Note: Microcaps, particularly those between $20M and $50M (nanocaps), are significant contributors to excess returns.

• Current Rank – The stock’s position in the latest weekly ranking (rank 99 = highest rank).

• Previous Rank – The stock’s ranking position in the prior update.

• Liquid – Indicates whether the stock has an average liquidity greater than $50K USD and a stock price above $0.50 USD over the past two weeks.

New Ranking

Read more

For details on how these rankings are utilized in both my personal portfolio and The Alpha Engineer Model Portfolio, check out the methodology. My method section provides additional tools and context, while my research demonstrates how the method can be customized to individual preferences.

New top stocks

Understanding the Ranking Terms

• Ticker – Every stock is identified by its primary ticker, based on the country where most of its trading occurs. Non-US stocks include a colon followed by a three-letter country ISO code.

• Name – The official company name.

• Sector – The primary industry sector of the company. While it's useful to ensure portfolio diversification, I don’t actively manage sector weights.

• Country ISO Code – A three-letter ISO standard country code (more details here). My model covers stocks globally to maximize opportunities and minimize market risk, but individual investors can adjust the universe based on personal preference or brokerage limitations.

• Market Cap (USD) – Market capitalization in USD. My strategy primarily targets microcaps (below $300M) and small caps (below $2B). Typically, the model portfolio consists of approximately 80% microcaps and 20% small caps. Note: Microcaps, particularly those between $20M and $50M (nanocaps), are significant contributors to excess returns.

• Current Rank – The stock’s position in the latest weekly ranking (rank 99 = highest rank).

• Previous Rank – The stock’s ranking position in the prior update.

• Liquid – Indicates whether the stock has an average liquidity greater than $50K USD and a stock price above $0.50 USD over the past two weeks.

New Ranking

Read more

For details on how these rankings are utilized in both my personal portfolio and The Alpha Engineer Model Portfolio, check out the methodology. My method section provides additional tools and context, while my research demonstrates how the method can be customized to individual preferences.

New top stocks

Understanding the Ranking Terms

• Ticker – Every stock is identified by its primary ticker, based on the country where most of its trading occurs. Non-US stocks include a colon followed by a three-letter country ISO code.

• Name – The official company name.

• Sector – The primary industry sector of the company. While it's useful to ensure portfolio diversification, I don’t actively manage sector weights.

• Country ISO Code – A three-letter ISO standard country code (more details here). My model covers stocks globally to maximize opportunities and minimize market risk, but individual investors can adjust the universe based on personal preference or brokerage limitations.

• Market Cap (USD) – Market capitalization in USD. My strategy primarily targets microcaps (below $300M) and small caps (below $2B). Typically, the model portfolio consists of approximately 80% microcaps and 20% small caps. Note: Microcaps, particularly those between $20M and $50M (nanocaps), are significant contributors to excess returns.

• Current Rank – The stock’s position in the latest weekly ranking (rank 99 = highest rank).

• Previous Rank – The stock’s ranking position in the prior update.

• Liquid – Indicates whether the stock has an average liquidity greater than $50K USD and a stock price above $0.50 USD over the past two weeks.

New Ranking

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That combination — record backlog visibility, a debt-free balance sheet, top-decile quality factors, and a single-digit forward earnings multiple — is rare in a European defence-and-safety supplier riding a multi-year national procurement cycle. The company ranks in the top 5% of The Alpha Engineer model’s liquid universe. My probability-weighted work points to a 24-month expected return near 70%, with a roughly 30% chance the position more than doubles.

The setup is not free of risk: revenue routes heavily through one prime contractor and one home market. The full analysis below — company, quantitative case, SWOT, scenarios, and catalysts — is for paying subscribers.

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Year-to-date, the model now stands at +9.1% against +11.2% for the S&P 500, a deficit of 2.1 percentage points after holding a 2.1-point lead through April. The entire swing came in a single month. The deep-dive selection told a different story, posting its best month since the March correction: the average return across the eight active positions rose to +64% from +55% in April, led by a recovery in the precious metals miners even as the gold price itself eased.

Markets in May

May was a second consecutive strong month for U.S. equities, with the S&P 500 adding +5.3%. Leadership stayed concentrated in the large-cap and AI-related names that drove April’s rebound, and breadth outside that cohort remained thin. The Federal Reserve held rates steady, and markets continued to price in limited easing for the remainder of 2026 given the inflation overhang from elevated energy prices tied to the ongoing Middle East conflict.

Precious metals gave back part of April’s recovery. Gold eased from roughly $4,800 at the end of April into the $4,500–$4,600 area through May, pressured by rising U.S. Treasury yields, with the ten-year benchmark approaching a one-year high, and a firmer dollar that raised the cost of bullion for overseas buyers. The structural case stayed intact, with continued central bank accumulation and major banks holding year-end targets in the $5,400–$6,300 range.

The notable divergence in May was between the metal and the miners. Gold mining equities rose even as the gold price consolidated, recovering ground after lagging April’s metals rally and re-rating on a wave of strong first-quarter earnings. That dynamic worked in favor of the deep-dive precious metals positions, which had absorbed the brunt of the March correction.

Model Portfolio Performance

The challenge in May was the same one that defined March and April: a microcap value and momentum strategy lagging a market whose gains were concentrated in the largest, most expensive names. The rotation out of precious metals that began in late March is now largely complete. Materials settled at 9.7% of the portfolio from a peak above 16% in March, while industrials grew to 34.9%, absorbing the capital the ranking system redirected toward newly attractive names. The systematic process is functioning as designed, selling positions that have lost their edge and rotating into higher-ranked candidates, and the residual drag from unwinding a sector that drove returns through 2025 has now cleared.

Return results (as of May 31, 2026):

• Total return (15 months): 65.5%

• S&P 500 return (same period): 31.2%

• Alpha generated: 34.3 percentage points

• Annualized return: 49.7% (vs. 24.3% for S&P 500)

• Monthly beats: 10 of 15 months (67%)

• Quarterly beats: 5 of 5 completed quarters (100%)

Realized trades (since inception):

• Win rate: 55% of 113 trades (62 winners, 51 losers)

• Average return: 17.0% (winners: +46.7%, losers: -19.0%)

• Average days held: 151.9 days

• Realized multibaggers: 6

Risk-adjusted metrics (since inception):

• Beta: 0.64

• Sharpe Ratio: 2.15 (vs. 1.00 for S&P 500)

• Sortino Ratio: 2.53 (vs. 1.46 for S&P 500)

• Maximum Drawdown: -13.83% (vs. -16.19% for S&P 500)

May was an active month for realized trades, with several long-held positions exiting at strong gains. The largest realized trade of the month, an industrial holding entered roughly a year earlier, was closed at +98%, narrowly short of multibagger status, alongside a consumer staple realized at +71% and two further holdings closed in the +35% to +55% range. The count of realized multibaggers held at six. The portfolio currently carries four open multibaggers, two industrials and two technology stocks, with the largest single position, a technology name, sitting near the top of the ranking.

The risk profile remains the clearest expression of the strategy’s edge. A beta of 0.64 and a maximum drawdown of -13.83%, shallower than the S&P 500’s -16.19% over the same span, show the portfolio has delivered its returns with materially less risk than the index, even through the most difficult stretch since inception. The Sharpe Ratio of 2.15 remains well above the benchmark’s 1.00.

The current quarter is tracking behind the index, an honest consequence of three straight months of underperformance, and the since-inception alpha has compressed from its February peak. What has not changed is the longer-term record: ten monthly beats in fifteen, every completed quarter ahead of the benchmark, and a return better than double the S&P 500 since inception. Stretches like this one are an expected feature of a strategy that deliberately avoids the crowded, large-cap leadership currently driving the index.

Model Portfolio Holdings

Current allocation is now spread broadly across sectors. Industrials lead at 34.9%, followed by Technology at 17.0%, Materials at 9.7%, Consumer Non-Cyclicals at 7.9%, Energy at 7.6%, and Consumer Cyclicals at 7.5%. Microcaps continue to dominate at 73% of the portfolio, with small caps making up the remaining 27%. Allocation charts and the full holdings breakdown appear in the attached performance report.

Deep-Dive Stock Performance

May was a recovery month for the deep-dive selection, with the precious metals positions leading the rebound and the healthcare names mixed after a heavy week of first-quarter earnings.

Deep-Dive Summary

• Total positions: 8

• Average return: +64%

• Average holding period: ~9 months

• Multibaggers: 3 of 8 (APM, MSA, SRB)

The three publicly available deep-dives, APM, MSA, and SRB, remain accessible to all subscribers in the deep-dives section.

Read more

For details on how these rankings are utilized in both my personal portfolio and The Alpha Engineer Model Portfolio, check out the methodology. My method section provides additional tools and context, while my research demonstrates how the method can be customized to individual preferences.

New top stocks

Understanding the Ranking Terms

• Ticker – Every stock is identified by its primary ticker, based on the country where most of its trading occurs. Non-US stocks include a colon followed by a three-letter country ISO code.

• Name – The official company name.

• Sector – The primary industry sector of the company. While it's useful to ensure portfolio diversification, I don’t actively manage sector weights.

• Country ISO Code – A three-letter ISO standard country code (more details here). My model covers stocks globally to maximize opportunities and minimize market risk, but individual investors can adjust the universe based on personal preference or brokerage limitations.

• Market Cap (USD) – Market capitalization in USD. My strategy primarily targets microcaps (below $300M) and small caps (below $2B). Typically, the model portfolio consists of approximately 80% microcaps and 20% small caps. Note: Microcaps, particularly those between $20M and $50M (nanocaps), are significant contributors to excess returns.

• Current Rank – The stock’s position in the latest weekly ranking (rank 99 = highest rank).

• Previous Rank – The stock’s ranking position in the prior update.

• Liquid – Indicates whether the stock has an average liquidity greater than $50K USD and a stock price above $0.50 USD over the past two weeks.

New Ranking

Read more

For details on how these rankings are utilized in both my personal portfolio and The Alpha Engineer Model Portfolio, check out the methodology. My method section provides additional tools and context, while my research demonstrates how the method can be customized to individual preferences.

New top stocks

Understanding the Ranking Terms

• Ticker – Every stock is identified by its primary ticker, based on the country where most of its trading occurs. Non-US stocks include a colon followed by a three-letter country ISO code.

• Name – The official company name.

• Sector – The primary industry sector of the company. While it's useful to ensure portfolio diversification, I don’t actively manage sector weights.

• Country ISO Code – A three-letter ISO standard country code (more details here). My model covers stocks globally to maximize opportunities and minimize market risk, but individual investors can adjust the universe based on personal preference or brokerage limitations.

• Market Cap (USD) – Market capitalization in USD. My strategy primarily targets microcaps (below $300M) and small caps (below $2B). Typically, the model portfolio consists of approximately 80% microcaps and 20% small caps. Note: Microcaps, particularly those between $20M and $50M (nanocaps), are significant contributors to excess returns.

• Current Rank – The stock’s position in the latest weekly ranking (rank 99 = highest rank).

• Previous Rank – The stock’s ranking position in the prior update.

• Liquid – Indicates whether the stock has an average liquidity greater than $50K USD and a stock price above $0.50 USD over the past two weeks.

New Ranking

Read more

For details on how these rankings are utilized in both my personal portfolio and The Alpha Engineer Model Portfolio, check out the methodology. My method section provides additional tools and context, while my research demonstrates how the method can be customized to individual preferences.

New top stocks

Understanding the Ranking Terms

• Ticker – Every stock is identified by its primary ticker, based on the country where most of its trading occurs. Non-US stocks include a colon followed by a three-letter country ISO code.

• Name – The official company name.

• Sector – The primary industry sector of the company. While it's useful to ensure portfolio diversification, I don’t actively manage sector weights.

• Country ISO Code – A three-letter ISO standard country code (more details here). My model covers stocks globally to maximize opportunities and minimize market risk, but individual investors can adjust the universe based on personal preference or brokerage limitations.

• Market Cap (USD) – Market capitalization in USD. My strategy primarily targets microcaps (below $300M) and small caps (below $2B). Typically, the model portfolio consists of approximately 80% microcaps and 20% small caps. Note: Microcaps, particularly those between $20M and $50M (nanocaps), are significant contributors to excess returns.

• Current Rank – The stock’s position in the latest weekly ranking (rank 99 = highest rank).

• Previous Rank – The stock’s ranking position in the prior update.

• Liquid – Indicates whether the stock has an average liquidity greater than $50K USD and a stock price above $0.50 USD over the past two weeks.

New Ranking

Read more

For details on how these rankings are utilized in both my personal portfolio and The Alpha Engineer Model Portfolio, check out the methodology. My method section provides additional tools and context, while my research demonstrates how the method can be customized to individual preferences.

New top stocks

Understanding the Ranking Terms

• Ticker – Every stock is identified by its primary ticker, based on the country where most of its trading occurs. Non-US stocks include a colon followed by a three-letter country ISO code.

• Name – The official company name.

• Sector – The primary industry sector of the company. While it's useful to ensure portfolio diversification, I don’t actively manage sector weights.

• Country ISO Code – A three-letter ISO standard country code (more details here). My model covers stocks globally to maximize opportunities and minimize market risk, but individual investors can adjust the universe based on personal preference or brokerage limitations.

• Market Cap (USD) – Market capitalization in USD. My strategy primarily targets microcaps (below $300M) and small caps (below $2B). Typically, the model portfolio consists of approximately 80% microcaps and 20% small caps. Note: Microcaps, particularly those between $20M and $50M (nanocaps), are significant contributors to excess returns.

• Current Rank – The stock’s position in the latest weekly ranking (rank 99 = highest rank).

• Previous Rank – The stock’s ranking position in the prior update.

• Liquid – Indicates whether the stock has an average liquidity greater than $50K USD and a stock price above $0.50 USD over the past two weeks.

New Ranking

Read more

The model portfolio gained +7.2% in April, a strong month in absolute terms but trailing the S&P 500’s narrow, semiconductor-led rebound by 3.3 percentage points. The combined effect of March’s drawdown and April’s partial recovery means the portfolio is -4.7% since the start of March versus +5.1% for the S&P 500 over the same span — a two-month gap of nearly 10 percentage points. Year-to-date, however, the portfolio remains ahead at +7.8% versus +5.7% for the S&P 500. Since inception fourteen months ago, the model has returned +63.5% versus +24.6% for the S&P 500, an alpha of 38.9 percentage points, beating the benchmark in 10 of 14 months and in all five completed quarterly periods.

The deep-dive selection held its ground during the recovery. The average return across all eight active positions stands at +55% with an average holding period of approximately eight months. Serabi Gold joined APM and Mineros as a third multibagger, recovering strongly from March’s correction. The model portfolio’s third realized multibagger gold trade came in late April when a precious metals position was sold at +209%, the second-largest realized trade in portfolio history.

Markets in April

April produced a paradoxical setup. The U.S.-Iran conflict moved into a fragile ceasefire that held through most of the month, but the Strait of Hormuz remained essentially closed and oil prices stayed elevated throughout. Brent crude averaged roughly $102 per barrel, peaking near $126 mid-month and ending April around $114. The Federal Reserve held rates steady, with markets continuing to price in only one cut for the remainder of 2026 given the persistent inflation overhang from energy.

Despite this backdrop, U.S. equities staged their strongest monthly advance since 2020. The S&P 500 climbed 10.5% to a record close of 7,165 on April 24, but the rally’s leadership was unusually narrow. The story was overwhelmingly about semiconductors and AI infrastructure: Intel surged approximately 50% in April — its biggest monthly gain since 1974 — and the iShares Semiconductor ETF gained more than 30% from late March. Q1 earnings provided fundamental cover, with 88% of S&P 500 reporters beating expectations at the highest rate since 2021. Outside semiconductors and AI-adjacent names, breadth was decidedly thinner.

Precious metals partially recovered. Gold climbed from approximately $4,200 at the end of March to around $4,800 by April 30, retracing roughly half of March’s decline as speculative liquidation eased. Silver also recovered, though gold mining equities followed the metals higher only modestly as capital rotated aggressively into AI infrastructure names. The structural bull case for precious metals remains intact, with major banks maintaining year-end gold targets in the $5,400–$6,300 range.

The model portfolio’s challenge in April was less about lagging the rebound than about not fully recovering March’s drawdown. The materials weighting from the precious metals run dropped from 16.2% at end of March to 9.5% by month-end as a gold miner was sold. Industrials grew from 24.8% to 30.5% to absorb the rotation. The systematic ranking is doing exactly what it should — selling stocks that have lost their edge and rotating into newly-attractive names — but the transition takes time, and during that time the portfolio carries the residual drag from a sector that benefited the strategy enormously through 2025.

Model Portfolio Performance

A +7.2% monthly gain is a strong absolute result by any standard. The relative shortfall versus the S&P 500 is best understood as the accumulated effect of two months: the model gave up more than the index in March’s precious metals correction and then recovered somewhat less in April’s narrowly-led rebound. Year-to-date, however, the portfolio is still +2.1 percentage points ahead of the S&P 500, and since inception alpha stands at +38.9 percentage points.

Return Results (as of Apr 30, 2026):

• Total return (14 months): +63.5%

• S&P 500 return (same period): +24.6%

• Alpha generated: 38.9 percentage points

• Annualized return: 52.4% (vs. 20.8% for S&P 500)

• Monthly beats: 10 of 14 months (71%)

• Quarterly beats: 5 of 5 quarters (100%)

Realized Trades (since inception):

• Win rate: 56% of 101 trades (57 winners, 44 losers)

• Average return: 17.4% (winners: +45.5%, losers: -19.1%)

• Average days held: 144.5 days

• Realized multibaggers: 6 (the latest a gold miner realized on April 27 at +209% — the second-largest realized trade in portfolio history)

Risk-Adjusted Metrics (since inception):

• Beta: 0.64

• Sharpe Ratio: 2.15 (vs. 1.00 for S&P 500)

• Sortino Ratio: 2.53 (vs. 1.46 for S&P 500)

• Maximum Drawdown: -13.83% (vs. -16.19% for S&P 500)

The maximum drawdown remained at -13.83% through April, with the portfolio recovering steadily from March’s lows without setting new troughs. The Sharpe Ratio of 2.15 continues to reflect strong risk-adjusted returns, more than double the benchmark’s 1.00. Importantly, the portfolio’s maximum drawdown remains shallower than the S&P 500’s worst peak-to-trough decline over the same period — a meaningful demonstration of downside resilience even after the most challenging months since inception.

Current allocation is now spread more broadly across sectors than at any point this year. Industrials lead at 30.5%, followed by Technology at 15.9%, Consumer Non-Cyclicals at 10.4%, Materials at 9.5%, Consumer Cyclicals at 8.8%, and Energy at 8.7%. Microcaps continue to dominate at 76% of the portfolio, with small caps making up the remaining 24%.

Deep-Dive Stock Performance

April was a recovery month for the deep-dive selection, with most positions regaining ground after March’s correction. The average return across all eight active positions held steady at +55%, essentially unchanged from March despite the volatility of the past two months. Serabi Gold joined APM and Mineros as the third multibagger on the list.

Deep-Dive Summary

• Total positions: 8

• Average return: +55%

• Average holding period: ~8 months

• Multibaggers: 3 of 8 (APM, MSA, SRB)

The three publicly available deep-dives (APM, MSA, and SRB) remain accessible to all subscribers — you can find them in the deep-dives section.

Read more