This portfolio has only about 1.4 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.
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High income tech tilted portfolio with leveraged South Korea exposure and very short performance history

Report created on May 14, 2026

Risk profile Info

7/7
Speculative
Less risk More risk

Diversification profile Info

3/5
Moderately Diversified
Less diversification More diversification

Positions

The portfolio is built from 12 almost equally weighted positions, each around 8–9%, which creates a fairly even split between holdings on paper. Most positions are equity ETFs focused on technology, option-income, and specific countries, alongside two actively managed mutual funds targeting dividends and convertibles. This structure means the portfolio is concentrated in style rather than in any single security. Equal weights can make it easier to see which ideas are driving results, but they don’t guarantee balanced risk, especially when some holdings are inherently more volatile or leveraged. With only about 1.4 years of data, any conclusions about how this mix behaves in extreme markets should be treated as early and tentative rather than definitive.

Growth Info

Over the roughly 1.4-year period, a hypothetical $1,000 in this portfolio grew to about $3,469, far ahead of both the US and global equity benchmarks. The portfolio’s compound annual growth rate (CAGR) of about 140% reflects this surge, but CAGR simply averages the path and doesn’t show the bumps along the way. The maximum drawdown of roughly -36% indicates that values dropped more sharply than the benchmarks at one point, before recovering within about a month. With such a short and unusually strong window, these figures likely capture a favorable market phase rather than a stable long-term pattern, so they shouldn’t be taken as a baseline for future expectations.

Projection Info

The Monte Carlo projection uses that short history to simulate 1,000 possible 15-year paths for a $1,000 investment, ending with a median value around $2,735 and an average annualized return of 7.5%. Monte Carlo essentially shuffles and recombines past monthly ups and downs to estimate a wide range of outcomes, from about $904 at the low end (p5) to $6,777 at the high end (p95). This is more like a weather forecast cone than a promise: it shows what could happen if the recent pattern repeated. Because only about 1.4 years of data feed the model, these scenarios are especially fragile and may not capture full market cycles or stress periods.

Asset classes Info

  • Stocks
    86%
  • Not classified
    7%
  • Bonds
    7%

By asset class, about 86% of the portfolio is in stocks, with a small allocation to bonds and a “not classified” slice that likely reflects more complex structures. This heavy equity tilt is consistent with the speculative risk score and implies that most returns and volatility will come from stock market movements rather than interest payments. Compared with broad global benchmarks, the bond allocation is quite low, which generally means less cushioning during equity downturns but more sensitivity to equity rallies. The “not classified” bucket is normal in data feeds and simply means some components don’t fit standard labels, so it’s best treated as a small unknown rather than a core driver of overall behavior.

Sectors Info

  • Technology
    55%
  • Utilities
    8%
  • Telecommunications
    7%
  • Industrials
    6%
  • Consumer Discretionary
    5%
  • Financials
    4%
  • Health Care
    3%
  • Consumer Staples
    2%
  • Energy
    1%
  • Basic Materials
    1%
  • Consumer Discretionary
    1%

This breakdown covers the equity portion of your portfolio only.

Sector-wise, technology stands out at around 55%, with the rest spread across utilities, telecom, industrials, consumer areas, financials, and other smaller slices. This strong tech tilt aligns with the semiconductor and innovation themes visible in the holdings list. High tech exposure often means the portfolio is more sensitive to changes in growth expectations, interest rates, and sentiment around innovation-led companies. When tech is in favor, returns can be powerful; when the sector rotates out of favor, swings can be sharp. The remaining sectors offer some diversification, but they are relatively small compared with the technology core, so they are unlikely to fully offset tech-driven moves, especially over shorter periods like the 1.4 years observed here.

Regions Info

  • North America
    68%
  • Asia Developed
    19%
  • Europe Developed
    4%

This breakdown covers the equity portion of your portfolio only.

Geographically, about 68% of the portfolio is tied to North America and roughly 19% to developed Asia, with a modest 4% in developed Europe. This results in a noticeable overweight to North America and South Korea relative to many global indices that spread more evenly across regions. Such concentration means portfolio behavior will strongly reflect the economic and market conditions of these key regions, including their currencies and policy environments. When those markets outperform, this can boost returns compared with a more globally even mix. However, if North America or South Korea experience region-specific stress, the impact on the portfolio could be pronounced, particularly given the use of leveraged and focused exposures within those areas.

Market capitalization Info

  • Mega-cap
    48%
  • Large-cap
    30%
  • Mid-cap
    10%

This breakdown covers the equity portion of your portfolio only.

In terms of company size, about 48% of exposure is in mega-cap names, 30% in large caps, and roughly 10% in mid-caps, with smaller companies playing only a limited role. This skews the portfolio toward well-established firms that often dominate major indices and can provide some stability relative to smaller, less liquid stocks. Mega- and large-caps also tend to be the main targets of option-income and covered call strategies, which appear frequently in this portfolio. The relatively low presence of small caps means the portfolio may be less sensitive to the more volatile, early-stage end of the market. However, given the short data window and the specialized strategies involved, observed volatility still looks high despite this large-cap emphasis.

True holdings Info

  • NVIDIA Corporation
    4.76%
    Part of fund(s):
    • Global X Nasdaq 100® Covered Call & Growth ETF
    • NEOS Nasdaq 100 High Income ETF
    • REX AI Equity Premium Income ETF
    • REX FANG & Innovation Equity Premium Income ETF
    • VanEck Semiconductor ETF
    • YieldMax Target 12 Semiconductor Option Income ETF
  • Micron Technology Inc
    3.99%
    Part of fund(s):
    • Global X Nasdaq 100® Covered Call & Growth ETF
    • NEOS Nasdaq 100 High Income ETF
    • REX AI Equity Premium Income ETF
    • REX FANG & Innovation Equity Premium Income ETF
    • VanEck Semiconductor ETF
    • YieldMax Target 12 Semiconductor Option Income ETF
    • iShares MSCI USA Value Factor ETF
  • Intel Corporation
    3.29%
    Part of fund(s):
    • REX AI Equity Premium Income ETF
    • REX FANG & Innovation Equity Premium Income ETF
    • VanEck Semiconductor ETF
    • YieldMax Target 12 Semiconductor Option Income ETF
    • iShares MSCI USA Value Factor ETF
  • SK Hynix Inc
    3.01%
    Part of fund(s):
    • Direxion Daily South Korea Bull 3X Shares
    • iShares MSCI South Korea ETF
  • Samsung Electronics Co Ltd
    2.96%
    Part of fund(s):
    • Direxion Daily South Korea Bull 3X Shares
    • iShares MSCI South Korea ETF
  • Advanced Micro Devices Inc
    2.50%
    Part of fund(s):
    • Global X Nasdaq 100® Covered Call & Growth ETF
    • REX AI Equity Premium Income ETF
    • REX FANG & Innovation Equity Premium Income ETF
    • VanEck Semiconductor ETF
    • YieldMax Target 12 Semiconductor Option Income ETF
  • Broadcom Inc
    2.24%
    Part of fund(s):
    • Global X Nasdaq 100® Covered Call & Growth ETF
    • NEOS Nasdaq 100 High Income ETF
    • REX FANG & Innovation Equity Premium Income ETF
    • VanEck Semiconductor ETF
    • YieldMax Target 12 Semiconductor Option Income ETF
  • Apple Inc
    1.76%
    Part of fund(s):
    • Global X Nasdaq 100® Covered Call & Growth ETF
    • NEOS Nasdaq 100 High Income ETF
    • REX FANG & Innovation Equity Premium Income ETF
  • Amazon.com Inc
    1.40%
    Part of fund(s):
    • Global X Nasdaq 100® Covered Call & Growth ETF
    • NEOS Nasdaq 100 High Income ETF
    • REX FANG & Innovation Equity Premium Income ETF
  • Alphabet Inc Class A
    1.29%
    Part of fund(s):
    • Global X Nasdaq 100® Covered Call & Growth ETF
    • NEOS Nasdaq 100 High Income ETF
    • REX FANG & Innovation Equity Premium Income ETF
  • Top 10 total 27.22%

This breakdown covers the equity portion of your portfolio only.

The look-through data shows notable recurring names across holdings: NVIDIA, Micron, Intel, SK Hynix, Samsung, AMD, Broadcom, Apple, Amazon, and Alphabet all appear via ETFs. These overlaps create hidden concentration in a cluster of large tech and semiconductor companies, even though no single stock is directly owned. For example, NVIDIA alone reaches nearly 5% through multiple funds. Because only ETF top-10 holdings are captured, actual overlap could be higher, especially among similar themed products. This means the portfolio’s fortunes are more tightly linked to a relatively small group of leading technology and chip companies than the simple fund list suggests, which can amplify both upside and downside moves tied to that segment.

Factors Info

Value
Preference for undervalued stocks
Neutral
Data availability: 17%
Size
Exposure to smaller companies
Very low
Data availability: 83%
Momentum
Exposure to recently outperforming stocks
High
Data availability: 8%
Quality
Preference for financially healthy companies
No data
Data availability: 0%
Yield
Preference for dividend-paying stocks
High
Data availability: 100%
Low Volatility
Preference for stable, lower-risk stocks
Neutral
Data availability: 67%

Factor exposures are estimated using statistical models based on historical data and measure systematic (market-relative) tilts, not absolute portfolio characteristics. Results may vary depending on the analysis period, data availability, and currency of the underlying assets.

The factor analysis highlights a high tilt to momentum and yield, alongside a very low exposure to the size factor. Factors are like underlying “traits” such as cheapness (value) or trend-following (momentum) that help explain returns. A high momentum tilt means the portfolio leans toward investments that have recently performed well, which can support returns during strong trends but may increase drawdowns if leadership abruptly reverses. The high yield tilt reflects the focus on option-income and high-distribution strategies; these can generate substantial cash flows but may give up some price growth potential or involve more complex risk. The very low size factor signals a bias away from smaller companies and toward larger, more established firms.

Risk contribution Info

  • Direxion Daily South Korea Bull 3X Shares
    Weight: 8.33%
    28.9%
  • VanEck Semiconductor ETF
    Weight: 8.33%
    10.6%
  • iShares MSCI South Korea ETF
    Weight: 8.33%
    9.9%
  • YieldMax Target 12 Semiconductor Option Income ETF
    Weight: 8.33%
    9.8%
  • REX FANG & Innovation Equity Premium Income ETF
    Weight: 8.33%
    5.8%
  • Top 5 risk contribution 64.9%

Risk contribution shows how much each holding drives overall volatility, which can differ a lot from its weight. Here, the leveraged South Korea ETF contributes almost 29% of total portfolio risk despite being only 8.33% by weight, meaning it punches far above its size. The semiconductor ETF and the unlevered South Korea ETF also contribute more risk than their weights, and together the top three positions account for roughly half of portfolio risk. This concentration suggests that day-to-day swings and larger drawdowns are heavily influenced by a small set of focused, higher-volatility exposures. Equal weighting by dollar amount therefore masks the true “risk weights,” which are much more skewed toward leveraged and sector-specific holdings.

Redundant positions Info

  • iShares MSCI South Korea ETF
    Direxion Daily South Korea Bull 3X Shares
    High correlation
  • Global X Nasdaq 100® Covered Call & Growth ETF
    NEOS Nasdaq 100 High Income ETF
    High correlation
  • YieldMax Target 12 Semiconductor Option Income ETF
    VanEck Semiconductor ETF
    High correlation

The correlation data shows that several pairs move almost in lockstep: the standard South Korea ETF and the 3x leveraged version, the two Nasdaq 100 income funds, and the semiconductor ETF with its option-income counterpart. Correlation measures how similarly assets move; high correlation limits diversification benefits because positions tend to rise and fall together, especially in stressful markets. In practice, this means holding both a plain ETF and a leveraged or income-tilted version of the same theme doesn’t fully spread risk across independent drivers. Instead, it layers different risk structures on similar underlying price movements, which may explain why a few themes dominate overall risk measures despite the seemingly broad mix of tickers.

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.

The risk–return chart and efficient frontier analysis show the current portfolio sitting about 16.9 percentage points below the frontier at its existing risk level. The Sharpe ratio, which compares excess return to volatility, is 2.05 for the current mix, versus 2.77 for the “optimal” weighting using just these holdings and 1.63 for the minimum-variance mix. This indicates that, based on the short data period, a different weight combination of the same funds could have delivered better risk-adjusted returns, or alternatively a lower-risk blend for less volatility. Because all calculations rely on only 1.4 years of history—which included strong performance—these efficiency conclusions should be seen as indicative rather than definitive over full market cycles.

Dividends Info

  • Aberdeen Total Dynamic Dividend Fund 11.30%
  • Calamos Dynamic Convertible 8.60%
  • iShares MSCI South Korea ETF 1.10%
  • REX FANG & Innovation Equity Premium Income ETF 25.60%
  • YieldMax GOOGL Option Income Strategy ETF 43.40%
  • Direxion Daily South Korea Bull 3X Shares 0.20%
  • NEOS Nasdaq 100 High Income ETF 13.40%
  • Global X Nasdaq 100® Covered Call & Growth ETF 16.30%
  • VanEck Semiconductor ETF 0.20%
  • iShares MSCI USA Value Factor ETF 1.50%
  • REX AI Equity Premium Income ETF 38.70%
  • YieldMax Target 12 Semiconductor Option Income ETF 8.00%
  • Weighted yield (per year) 14.02%

The portfolio’s overall dividend yield is high, at about 14%, driven mainly by option-income and covered call funds with distribution rates exceeding 20–40% in some cases. Dividend yield here measures cash paid out relative to the current value, but for option-income strategies, much of that “yield” reflects option premiums and possibly a trade-off against potential price appreciation. Traditional equity funds in the mix show more modest yields, closer to broad-market levels. While high cash flows can be attractive, they often come with trade-offs like capped upside or more complex tax treatment. With only a short performance record, it’s hard to know how consistently these payout levels will continue across different market conditions.

Ongoing product costs Info

  • Aberdeen Total Dynamic Dividend Fund 1.15%
  • Calamos Dynamic Convertible 1.82%
  • iShares MSCI South Korea ETF 0.59%
  • REX FANG & Innovation Equity Premium Income ETF 0.65%
  • YieldMax GOOGL Option Income Strategy ETF 0.99%
  • Direxion Daily South Korea Bull 3X Shares 1.34%
  • NEOS Nasdaq 100 High Income ETF 0.68%
  • Global X Nasdaq 100® Covered Call & Growth ETF 0.60%
  • VanEck Semiconductor ETF 0.35%
  • iShares MSCI USA Value Factor ETF 0.15%
  • REX AI Equity Premium Income ETF 0.65%
  • Weighted costs total (per year) 0.75%

The portfolio’s total expense ratio (TER) averages about 0.75%, combining low-cost index-style funds (as low as 0.15%) with higher-fee active and specialized strategies (some above 1%). TER represents the annual percentage of assets used to cover fund operating costs, quietly reducing net returns over time. For context, broad market ETFs often charge well below 0.20%, while complex option-income or leveraged products usually sit higher, as seen here. These costs may be reasonable for the niche strategies involved, but they still compound: over long periods, even a 0.5–1.0% annual difference adds up. Given that performance and projections are based on a short, unusually strong period, it’s especially important to remember that fees are one of the more predictable drags on returns.

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