Noteworthy Portfolios: April 2026
4 standout public portfolios created by the EuroFolio community this month, picked from a pool of 18 for genuine strategy variety and interest — not just the highest backtest return.
Thematic Resilience, With Concentration
Defense and gold are the defining bets here, supported by semiconductors, banks, utilities, and hydrogen rather than a conventional market-cap allocation. The combination has produced an unusually strong backtest with a drawdown of only 11.4%, but just over three years is a short window for judging a portfolio built around geopolitical and commodity themes. Its appeal is clear, though the thematic exposures make it better viewed as a satellite strategy than a complete core portfolio.
Semiconductor Conviction, No Disguise
Putting 90% into a semiconductor ETF is about as concentrated as a public portfolio can get, and seven years of history makes this more than a fleeting momentum experiment. The reward has been exceptional, but a 35.3% maximum drawdown shows the price of that conviction. This is an aggressive satellite holding for investors who can tolerate a very different ride from the broader market, not a diversified portfolio in the usual sense.
Protection Is the Main Feature
This is one of the clearest defensive designs in the group: a broad equity core is paired with government bonds, inflation-linked bonds, and gold rather than a collection of fashionable sector bets. The defensive sleeve appears to have kept the worst loss below 15%, a useful result for a portfolio explicitly targeting a 25% drawdown ceiling. Its relatively short backtest limits the evidence, but the construction is easy to understand and the risk objective is unusually explicit.
A Gold-Heavy Optimizer Under Review
The 46% allocation to gold is the headline decision, turning this supposed maximum-Sharpe portfolio into a major bet on one defensive asset. A seven-year backtest and a maximum drawdown under 10% make the result intriguing, but the mix also includes leveraged equity exposure, commodities, and a small bond position, creating risks that a smooth historical profile may understate. It is an interesting case study in how optimization can produce a portfolio very different from a conventional balanced allocation.