Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
QQQM Invesco NASDAQ 100 ETF | Nasdaq-100 | 60% |
SMH VanEck Semiconductor ETF | Semiconductors, Technology Equities | 40% |
Find the right asset allocation for qqqm +smh
Add portfolio to the optimizer to find optimal allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio OptimizerPerformance
Performance Chart
The chart shows the growth of an initial investment of $10,000 in qqqm +smh , comparing it to the performance of the S&P 500 index or another benchmark. All prices have been adjusted for splits and dividends. The portfolio is rebalanced Every 3 months.
Loading charts...
Returns By Period
| Position | 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 1.08% | 2.00% | 9.57% | 10.71% | 25.41% | 19.37% | 12.48% | 13.67% |
Portfolio qqqm +smh | 3.94% | 12.47% | 44.48% | 47.73% | 80.31% | 41.52% | 26.87% | — |
| Portfolio components: | ||||||||
QQQM Invesco NASDAQ 100 ETF | 2.34% | 5.43% | 20.57% | 21.76% | 40.56% | 27.05% | 17.43% | — |
SMH VanEck Semiconductor ETF | 5.76% | 21.31% | 83.23% | 90.62% | 152.08% | 63.38% | 40.67% | 38.22% |
Monthly Returns
Based on dividend-adjusted daily data since Oct 13, 2020, qqqm +smh 's average daily return is +0.11%, while the average monthly return is +2.28%. At this rate, an investment would double in approximately 2.6 years.
Historically, 70% of months were positive and 30% were negative. The best month was Apr 2026 with a return of +22.4%, while the worst month was Apr 2022 at -14.0%. The longest winning streak lasted 10 consecutive months, and the longest losing streak was 3 months.
On a daily basis, qqqm +smh closed higher 55% of trading days. The best single day was Apr 9, 2025 with a return of +13.9%, while the worst single day was Jun 5, 2026 at -6.9%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 5.55% | -1.04% | -5.25% | 22.37% | 13.91% | 4.72% | 44.48% | ||||||
| 2025 | 1.53% | -3.37% | -8.22% | 0.84% | 10.85% | 10.43% | 2.86% | 0.79% | 8.18% | 7.38% | -2.15% | 0.67% | 31.89% |
| 2024 | 3.61% | 8.88% | 3.38% | -4.57% | 8.77% | 7.10% | -3.13% | 0.16% | 1.88% | -1.13% | 3.31% | 0.45% | 31.50% |
| 2023 | 13.13% | 0.19% | 9.71% | -2.10% | 11.24% | 6.01% | 4.55% | -2.05% | -5.88% | -2.92% | 12.67% | 7.24% | 62.32% |
| 2022 | -9.55% | -3.68% | 2.92% | -13.99% | 1.59% | -12.23% | 14.16% | -6.88% | -11.83% | 3.29% | 11.44% | -9.40% | -32.78% |
| 2021 | 1.71% | 2.74% | 1.17% | 3.37% | 0.29% | 5.90% | 1.83% | 3.69% | -5.56% | 7.46% | 5.74% | 1.41% | 33.37% |
Benchmark Metrics
qqqm +smh has an annualized alpha of 7.20%, beta of 1.44, and R2 of 0.81 versus S&P 500 Index. Calculated based on daily prices since October 13, 2020.
- This portfolio captured 160.67% of S&P 500 Index gains and 108.73% of its losses - amplifying both gains and losses, but participating more in upside than downside.
- This portfolio generated an annualized alpha of 7.20% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
- Alpha
- 7.20%
- Beta
- 1.44
- R²
- 0.81
- Upside Capture
- 160.67%
- Downside Capture
- 108.73%
Expense Ratio
qqqm +smh has an expense ratio of 0.23%, which is considered low. Below, you can find the expense ratios of the portfolio's funds side by side and easily compare their relative costs.
Return for Risk
Risk / Return Rank
qqqm +smh ranks 90 for risk / return — in the top 90% of Portfolios on our site. This means strong returns relative to risk — exactly what professional investors look for. Well-suited for investors who want to maximize return per unit of risk.
Return / Risk — by metrics
The table below presents risk-adjusted performance metrics for qqqm +smh and compares them with S&P 500 Index.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | 3.36 | 2.05 | +1.32 |
| Sortino ratioReturn per unit of downside risk | 3.91 | 2.77 | +1.14 |
| Omega ratioGain probability vs. loss probability | 1.55 | 1.37 | +0.18 |
| Calmar ratioReturn relative to maximum drawdown | 6.58 | 2.81 | +3.78 |
| Martin ratioReturn relative to average drawdown | 25.24 | 12.55 | +12.68 |
How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.
| Position | Risk / Return Rank | Sharpe ratio | Sortino ratio | Omega ratio | Calmar ratio | Martin ratio |
|---|---|---|---|---|---|---|
QQQM Invesco NASDAQ 100 ETF | 74 | 2.33 | 3.02 | 1.41 | 3.41 | 12.66 |
SMH VanEck Semiconductor ETF | 96 | 4.49 | 4.50 | 1.64 | 10.25 | 37.49 |
Loading charts...
Dividends
Dividend yield
qqqm +smh provided a 0.32% dividend yield over the last twelve months.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 0.32% | 0.42% | 0.54% | 0.63% | 0.97% | 0.44% | 0.37% | 0.60% | 0.75% | 0.57% | 0.32% | 0.86% |
| Portfolio components: | ||||||||||||
QQQM Invesco NASDAQ 100 ETF | 0.42% | 0.50% | 0.61% | 0.65% | 0.83% | 0.40% | 0.16% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
SMH VanEck Semiconductor ETF | 0.17% | 0.31% | 0.44% | 0.60% | 1.18% | 0.51% | 0.69% | 1.50% | 1.88% | 1.43% | 0.80% | 2.14% |
Drawdowns
Drawdowns Chart
The Drawdowns chart displays portfolio losses from any high point along the way. Drawdowns are calculated considering price movements and all distributions paid, if any.
Loading charts...
Worst Drawdowns
The table below displays the maximum drawdowns of the qqqm +smh . A maximum drawdown is a measure of risk, indicating the largest reduction in portfolio value due to a series of losing trades.
The maximum drawdown for the qqqm +smh was 39.30%, occurring on Oct 14, 2022. Recovery took 276 trading sessions.
The current qqqm +smh drawdown is 3.18%.
Related event | Drawdown | Fall | Recovery | Underwater |
|---|---|---|---|---|
Bear market2022 | -39.30%Oct 2022 | 9mo 20d | 1y 1mo | 1y 10moDec 2021 - Nov 2023 |
2025 selloff2025 | -26.24%Apr 2025 | 2mo 14d | 2mo 17d | 5mo 1dJan 2025 - Jun 2025 |
2024 correction2024 | -18.17%Aug 2024 | 27d | 4mo 11d | 5mo 8dJul 2024 - Dec 2024 |
2021 correction2021 | -12.72%Mar 2021 | 19d | 1mo 1d | 1mo 20dFeb 2021 - Apr 2021 |
2026 correction2026 | -12.26%Mar 2026 | 2mo | 14d | 2mo 14dJan 2026 - Apr 2026 |
Volatility
Volatility Chart
The chart below shows the rolling one-month volatility.
Loading charts...
Diversification
Diversification Metrics
Number of Effective Assets
The portfolio contains 2 assets, with an effective number of assets of 1.92, reflecting the diversification based on asset allocation. Your capital is spread almost evenly across your holdings, indicating a well-balanced allocation. Note that true diversification also depends on the correlations between assets — check the diversification ratio below.
Diversification Ratio
1Y | 3Y | 5Y | All Time | |
|---|---|---|---|---|
Diversification Ratio | 1.03 | 1.03 | 1.03 | 1.03 |
The portfolio has a diversification ratio of 1.03, placing it in the bottom quartile across portfolios — positions are highly correlated. Consider adding assets from different classes or sectors to reduce risk.
qqqm +smh correlation to the S&P 500 Index
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.87 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.88 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.89 |
Correlation (All Time) Calculated using the full available price history since Oct 13, 2020 | 0.88 |
Benchmark Correlations
Correlation vs. S&P 500 Index. QQQM has the highest benchmark correlation at 0.93, while SMH has the lowest at 0.79.
Asset Correlations Table
Find what qqqm +smh is missing
See which holdings overlap, where qqqm +smh is concentrated, and which low-correlation assets could fill the gaps.
Analyze Diversification