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A growth oriented equity heavy portfolio with strong global diversification and thoughtful use of precious metals

Report created on Jan 18, 2026

Risk profile Info

3/7
Cautious
Less risk More risk

Diversification profile Info

5/5
Highly Diversified
Less diversification More diversification

Positions

This portfolio is built almost entirely from equity ETFs, with a noticeable tilt toward growth and a modest allocation to precious metals. The structure leans on broad global funds, then layers on extra exposure to specific regions and themes, plus gold and other metals. This kind of setup matters because overlapping funds can quietly increase concentration in the same underlying holdings, even when the list looks very diversified. It could help to treat the global equity ETF as the “core” and decide whether the extra regional and thematic pieces are intentional tilts or could be simplified while keeping the same general market exposure and risk level.

Growth Info

Using a simple example, a hypothetical 10,000 investment growing at the historic CAGR of 18.28% (CAGR is the average yearly growth rate over time) would have increased very strongly, while only ever dropping around 15.84% from a peak during its worst stretch. That mix of high return and moderate max drawdown is unusually attractive and suggests the mix has been rewarded in recent years. It’s important to remember that past performance is not a guarantee of future results, and this strong history may partly reflect a particularly good period for growth assets that might not repeat in the same way.

Projection Info

The Monte Carlo analysis, which runs 1,000 random “what if” paths using historical patterns, shows end values ranging from roughly 150% (5th percentile) to over 1,400% (67th percentile) of the starting amount. Monte Carlo basically shuffles past returns in many different sequences to show a range of potential futures, rather than one single forecast. The median outcome and high share of positive simulations highlight attractive upside, but the wide spread also shows real uncertainty. These simulations are still based on historical behavior, so they can’t foresee new crises or regime changes, and should be treated more as a guide to possible ranges than a prediction.

Asset classes Info

  • Stocks
    85%
  • Other
    11%
  • No data
    2%

Asset allocation is heavily tilted toward stocks at about 85%, with roughly 11% in “other” assets, mainly precious metals, and no bonds. This equity-dominant mix is a big driver of both growth potential and risk, and the metals sleeve acts as a partial hedge when markets get shaky. The absence of bonds means there’s little built-in cushion from traditionally steadier assets, so equity volatility will be felt more directly. Given the cautious risk profile, it could be worth testing how adding a modest bond or cash-like component would change historical drawdowns and whether that trade-off in return feels acceptable for extra stability.

Sectors Info

  • Technology
    24%
  • Financials
    11%
  • Industrials
    10%
  • Consumer Discretionary
    9%
  • Telecommunications
    8%
  • Health Care
    6%
  • Basic Materials
    5%
  • Consumer Staples
    5%
  • Utilities
    4%
  • Energy
    2%
  • No data
    2%
  • Real Estate
    2%

Sector exposure is broad and well spread: technology leads at 24%, with solid weights in financials, industrials, consumer sectors, communication services, and healthcare. This aligns closely with common global equity benchmarks and is a strong indicator of diversification across different parts of the economy. The tech and clean-energy tilts can boost growth but may also heighten swings when interest rates move or sentiment toward high-growth areas cools. It could be useful to check if the combination of growth-oriented sectors matches the desired risk level, and whether trimming small, overlapping thematic slices would simplify things without materially changing overall sector balance.

Regions Info

  • North America
    38%
  • Europe Developed
    23%
  • Asia Emerging
    8%
  • Japan
    6%
  • Asia Developed
    6%
  • Australasia
    2%
  • No data
    2%
  • Latin America
    1%
  • Africa/Middle East
    1%

Geographic exposure is nicely global: North America around 38%, developed Europe about 23%, emerging Asia, Japan, and developed Asia also meaningfully represented, plus small allocations to Latin America and Africa/Middle East. This allocation is well-balanced and aligns closely with global standards, reducing reliance on any single region. For a UK-based investor, there is some home exposure via FTSE funds, but not an excessive home bias, which supports better diversification. One thing to keep an eye on is whether the separate regional funds plus the global ETF lead to double-counting certain markets; periodically comparing geographic weights versus a simple global index can help keep the tilt intentional.

Market capitalization Info

  • Mega-cap
    39%
  • Large-cap
    29%
  • No data
    14%
  • Mid-cap
    14%
  • Small-cap
    2%

By market cap, the portfolio is dominated by mega and large companies (around two-thirds), with smaller portions in mid and small caps. This structure is similar to many broad-market benchmarks and tends to produce more stable earnings and better liquidity, which can be helpful for a cautious profile. The small-cap slice is modest, so it won’t drive returns or volatility too much on its own. A practical next step is deciding whether the current tilt toward larger companies is exactly where it should be, or if a slightly higher small and mid-cap exposure would better match long-term growth goals without pushing overall risk beyond comfort levels.

Redundant positions Info

  • Vanguard S&P 500 UCITS Acc
    Vanguard FTSE All-World UCITS ETF USD Accumulation
    High correlation

Correlation describes how assets move together: a correlation of 1 means they move in lockstep, 0 means they’re unrelated. Here, the S&P 500 ETF and the global All-World ETF are highly correlated, which makes sense because the global index has a big S&P-style component inside it. Highly correlated positions add complexity without much diversification benefit, especially when they cover similar markets. The portfolio is still highly diversified overall, but cleaning up these overlaps could make it more efficient and easier to manage. One clear step would be deciding which fund is the true “core” and then reducing or removing the other to avoid paying for nearly identical exposure.

Risk vs. return

This chart shows the Efficient Frontier, calculated using your current assets with different allocation combinations. It highlights the best balance between risk and return based on historical data. "Efficient" portfolios maximize returns for a given risk or minimize risk for a given return. Portfolios below the curve are less efficient. This is informational and not a recommendation to buy or sell any assets.

Click on the colored dots to explore allocations.

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Efficient Frontier optimization looks for the mix of the existing holdings that gives the best possible trade-off between risk and return, without adding new assets. In this case, analysis suggests there’s a more “efficient” version of the current mix that keeps risk similar but raises expected return to about 27.43%. That doesn’t necessarily mean more diversification; it just means a better risk-return ratio using the same ingredients. A key step before optimizing is dealing with overlapping, highly correlated positions that don’t add much diversification. Once overlaps are reduced, re-running an optimization can help identify whether small shifts in weights between current funds could improve the balance of growth and volatility.

Ongoing product costs Info

  • Global X Copper Miners UCITS ETF USD Acc GBP 0.65%
  • Invesco EQQQ NASDAQ-100 UCITS ETF 0.35%
  • iShares Global Clean Energy UCITS 0.65%
  • WisdomTree Physical Palladium 0.49%
  • WisdomTree Physical Silver 0.49%
  • iShares Physical Gold ETC 0.25%
  • Vanguard FTSE Developed Asia Pacific ex Japan UCITS ETF USD Accumulation GBP 0.15%
  • Vanguard FTSE Japan UCITS ETF USD Accumulation GBP 0.10%
  • Vanguard FTSE 250 UCITS ETF GBP Accumulation 0.10%
  • Vanguard S&P 500 UCITS Acc 0.07%
  • Vanguard FTSE 100 UCITS GBP Acc 0.09%
  • Vanguard FTSE All-World UCITS ETF USD Accumulation 0.19%
  • Weighted costs total (per year) 0.22%

The blended cost of about 0.22% per year is impressively low and strongly supports long-term performance. Most core holdings are very low cost, and only a few thematic or specialist funds sit at the higher end of the fee range. Costs compound just like returns, so every 0.1–0.2% saved annually can add up significantly over decades. This cost profile is a clear strength. To fine-tune further, it may be worth checking whether all the higher-fee satellite positions (like niche themes or specialized metals) are adding enough unique exposure or conviction to justify their extra cost relative to the cheaper, broad-based building blocks.

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