This portfolio has only about 1.1 years of historical data, based on the youngest asset in the portfolio. Some metrics, projections, and AI insights may be less reliable and should be interpreted with caution.

Highly concentrated speculative tech focused portfolio with exceptional historic returns and elevated single stock risk

Report created on Mar 18, 2026

Risk profile Info

7/7
Speculative
Less risk More risk

Diversification profile Info

2/5
Low Diversity
Less diversification More diversification

Positions

The portfolio is extremely concentrated, with roughly 60% split between Micron and AMD alone, and about 80% in a handful of large US tech names. Only one asset class is present: individual stocks, with no funds or bonds to spread risk. This kind of structure can create big upside but also large swings, because results are driven by just a few companies. When one or two names dominate, the portfolio behaves almost like a single-stock bet rather than a broad collection. The main takeaway is that this setup is aggressive by design and will live or die based on a small group of semiconductor and large-cap tech holdings.

Growth Info

Historically, performance has been spectacular, with a compound annual growth rate (CAGR) of 107.34%. CAGR is like the average yearly “speed” of growth over time. The worst peak‑to‑trough loss, or max drawdown, was about –30.8%, which is sizable but not extreme for such a high‑octane profile. The fact that 90% of gains came from just 17 days shows how “all or nothing” the ride has been: missing a few big up days would have slashed returns. Past performance, especially at this level, is unlikely to repeat forever, so it’s wise not to anchor future expectations to this extraordinary run.

Projection Info

The forward projection uses Monte Carlo simulation, which takes historical returns, scrambles them in thousands of random paths, and estimates a range of possible futures. Think of it as running 1,000 alternate timelines based on how the portfolio behaved before. The median outcome is extremely high, and even the lower 5th percentile shows strong growth, reflecting the historic volatility and upside. But simulations assume that future patterns resemble the past, which is a big assumption, especially for a concentrated, momentum‑driven tech tilt. The useful takeaway is that potential outcomes are very wide, and while the odds of gains looked high in the model, big losses remain very possible along the way.

Asset classes Info

  • Stocks
    100%

With 100% in individual stocks and zero in bonds, cash‑like assets, or broader funds, the portfolio is fully exposed to equity market risk. Compared with more balanced setups that blend stocks with more stable assets, this pushes both potential return and potential drawdowns higher. There is no built‑in cushion from defensive asset classes that typically hold up better in bad markets. This kind of structure can work for someone who can stomach large price drops and doesn’t need to draw on the money soon. For anyone wanting smoother returns or capital protection, mixing in steadier assets would usually be a consideration.

Sectors Info

  • Technology
    79%
  • Telecommunications
    11%
  • Consumer Staples
    9%
  • No data
    1%

Sector exposure is dominated by technology at roughly 79%, with communication services and consumer defensive trailing far behind. That means portfolio outcomes are heavily tied to the health of the tech ecosystem, especially semiconductors and software‑oriented businesses. Tech‑heavy portfolios often shine during innovation booms and periods of falling or stable interest rates, but they can be hit hard when rates rise or when growth expectations cool. The small consumer defensive slice adds only modest ballast. A useful way to think about this is that the portfolio is making a very strong bet on continued strength in innovation‑driven business models, with limited insulation if that theme goes out of favor.

Regions Info

  • North America
    97%
  • Japan
    1%
  • No data
    1%

Geographically, exposure is overwhelmingly centered on North America at about 97%, with a small satellite position in Japan. This is broadly consistent with many investor home‑bias patterns, especially in the US, though global benchmarks tend to be a bit more geographically spread out. The upside is familiarity with regulatory environments, accounting standards, and major brands. The trade‑off is that economic or policy shocks in one region could hit most holdings at once. For some investors, staying focused on one dominant market feels comfortable; others prefer adding more diverse global exposure to reduce dependence on any single economy or currency.

Market capitalization Info

  • Mega-cap
    90%
  • Large-cap
    9%
  • No data
    1%

Market capitalization is skewed almost entirely to mega‑cap and large‑cap stocks, with roughly 90% in the very largest companies. Large caps tend to be more established, with deeper liquidity and more analyst coverage than smaller names, which can help with execution and information flow. At the same time, this focus may limit pure small‑cap “lottery ticket” behavior, even though the overall portfolio is still aggressive due to sector and stock concentration. Compared to a broader market mix that blends all size tiers, this setup is leaning on the stability and dominance of global giants while still taking meaningful risk through industry and single‑name bets.

Factors Info

Value
Preference for undervalued stocks
Low
Data availability: 99%
Size
Exposure to smaller companies
Very low
Data availability: 99%
Momentum
Exposure to recently outperforming stocks
Very high
Data availability: 100%
Quality
Preference for financially healthy companies
Very high
Data availability: 99%
Yield
Preference for dividend-paying stocks
Low
Data availability: 71%
Low Volatility
Preference for stable, lower-risk stocks
Low
Data availability: 99%

Factor exposure is strongly tilted toward momentum and quality, with low volatility also playing a notable role. Factors are like underlying “personality traits” of stocks that research has linked to long‑term returns and risk patterns. High momentum means the portfolio is full of names that have been recent winners, which can do well in trending markets but may see sharper reversals when sentiment shifts. Strong quality exposure points to companies with solid balance sheets or profitability metrics, which can be a positive sign. The relatively modest value tilt suggests a growth‑oriented style. Overall, these tilts can be powerful but may lead to sharp swings when crowded trades unwind.

Risk contribution Info

  • Micron Technology Inc
    Weight: 40.19%
    58.9%
  • Advanced Micro Devices Inc
    Weight: 19.00%
    23.7%
  • Alphabet Inc Class A
    Weight: 11.25%
    4.8%
  • Direxion Daily AMD Bull 2X Shares
    Weight: 1.37%
    3.4%
  • Palo Alto Networks Inc
    Weight: 7.68%
    3.3%
  • Top 5 risk contribution %

Risk contribution data shows Micron at 40% weight but contributing nearly 59% of overall volatility, with a risk‑to‑weight ratio of 1.47. AMD adds another 24% of risk on a 19% weight, while the leveraged AMD product, though only 1.37% of assets, contributes over 3% of risk with a very high risk‑to‑weight ratio. The top three holdings drive about 87% of total portfolio risk, far more than their share of positions. This tells you the portfolio’s ups and downs are effectively controlled by a tiny core. Re‑sizing these exposures could dramatically change the risk profile without fundamentally altering the growth‑first philosophy.

Redundant positions Info

  • Advanced Micro Devices Inc
    Direxion Daily AMD Bull 2X Shares
    High correlation

Correlation measures how often assets move together; a value near 1 means they usually go in the same direction. AMD and the 2x leveraged AMD product are highly correlated, which makes sense because the fund is designed to magnify AMD’s moves. When correlated positions dominate, diversification benefits drop, especially in sell‑offs when everything falls together. In this setup, many holdings share similar drivers, so correlations are likely elevated even beyond that pair. The main implication is that during a tech or semiconductor downturn, the whole portfolio could slide in unison, making drawdowns deeper than a more diversified mix would experience.

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.

On the risk‑return chart, the current portfolio would likely sit below the efficient frontier, meaning that given the same set of holdings, a different mix could achieve a better balance of return per unit of risk. The efficient frontier represents the best possible trade‑off that can be achieved just by reweighting what’s already there. Given the heavy risk contribution from a few names and the redundant exposure to AMD, shifting toward a more balanced allocation could raise the Sharpe ratio, which measures return per unit of volatility. Importantly, this doesn’t require adding new assets, only resizing existing ones to spread risk more evenly.

Dividends Info

  • Apple Inc 0.40%
  • Alphabet Inc Class A 0.30%
  • Microsoft Corporation 0.90%
  • Micron Technology Inc 0.10%
  • Sony Group Corp 0.70%
  • Walmart Inc 0.80%
  • Direxion Daily AMD Bull 2X Shares 18.30%
  • Weighted yield (per year) 0.49%

The overall dividend yield is low, around 0.49%, which fits a growth‑oriented, tech‑heavy collection of stocks. Most return is expected to come from price appreciation rather than cash payouts. The notably high yield on the leveraged AMD product is mostly a function of its structure and distributions rather than a stable income stream. For someone focused on building long‑term wealth and comfortable reinvesting gains, a low yield isn’t necessarily a problem. It just means the strategy relies on future earnings growth and market optimism instead of steady income, which can be less attractive for those needing regular cash flow.

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