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Aggressive Allocation
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


S&P 500 Index

Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in Aggressive Allocation, 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 never rebalanced.


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The earliest data available for this chart is Oct 17, 2024, corresponding to the inception date of BTCI

Returns By Period


1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.11%-3.43%-3.84%-1.98%16.08%16.86%10.37%12.29%
Portfolio
Aggressive Allocation
-0.04%-3.38%-7.10%-12.96%27.44%
QQQM
Invesco NASDAQ 100 ETF
0.12%-2.64%-4.64%-3.14%23.54%23.07%13.26%
SCHG
Schwab U.S. Large-Cap Growth ETF
0.03%-3.86%-9.70%-8.38%16.03%22.25%12.77%17.00%
ARKK
ARK Innovation ETF
0.23%-5.12%-10.87%-23.16%39.49%20.43%-10.47%14.27%
SMH
VanEck Semiconductor ETF
0.09%0.32%8.94%16.35%83.82%44.85%26.17%31.69%
BLOK
Amplify Transformational Data Sharing ETF
0.64%-4.56%-11.64%-27.44%30.70%40.84%1.69%
BTCI
NEOS Bitcoin High Income ETF
-0.79%0.07%-20.86%-40.01%-17.50%
BOTZ
Global X Robotics & Artificial Intelligence Thematic ETF
-1.47%-9.49%-7.81%-7.62%16.24%9.84%-0.10%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Oct 18, 2024, Aggressive Allocation's average daily return is +0.08%, while the average monthly return is +1.43%. At this rate, your investment would double in approximately 4.1 years.

Historically, 53% of months were positive and 47% were negative. The best month was Nov 2024 with a return of +12.4%, while the worst month was Mar 2025 at -9.0%. The longest winning streak lasted 4 consecutive months, and the longest losing streak was 2 months.

On a daily basis, Aggressive Allocation closed higher 54% of trading days. The best single day was Apr 9, 2025 with a return of +12.6%, while the worst single day was Apr 3, 2025 at -6.4%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20261.74%-4.02%-6.00%1.20%-7.10%
20255.43%-7.70%-9.03%4.12%11.10%11.47%4.39%-0.38%8.95%4.39%-6.49%-1.43%24.44%
2024-1.05%12.42%-2.00%9.02%

Benchmark Metrics

Aggressive Allocation has an annualized alpha of 5.72%, beta of 1.49, and R² of 0.81 versus S&P 500 Index. Calculated based on daily prices since October 18, 2024.

  • This portfolio captured 186.01% of S&P 500 Index gains and 138.23% of its losses — amplifying both gains and losses, but participating more in upside than downside.
  • This portfolio generated an annualized alpha of 5.72% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.

Alpha
5.72%
Beta
1.49
0.81
Upside Capture
186.01%
Downside Capture
138.23%

Expense Ratio

Aggressive Allocation has an expense ratio of 0.44%, placing it in the medium range. 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

Aggressive Allocation ranks 27 for risk / return — below 27% of portfolios on our site. The returns aren't fully compensating for the risk involved. This isn't necessarily a dealbreaker, but factor it into your decision — especially if you're risk-averse.


Aggressive Allocation Risk / Return Rank: 2727
Overall Rank
Aggressive Allocation Sharpe Ratio Rank: 2929
Sharpe Ratio Rank
Aggressive Allocation Sortino Ratio Rank: 3232
Sortino Ratio Rank
Aggressive Allocation Omega Ratio Rank: 2424
Omega Ratio Rank
Aggressive Allocation Calmar Ratio Rank: 3131
Calmar Ratio Rank
Aggressive Allocation Martin Ratio Rank: 2121
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

Return / Risk — by metrics


PortfolioBenchmarkDifference

Sharpe ratio

Return per unit of total volatility

0.96

0.88

+0.08

Sortino ratio

Return per unit of downside risk

1.51

1.37

+0.15

Omega ratio

Gain probability vs. loss probability

1.20

1.21

-0.01

Calmar ratio

Return relative to maximum drawdown

1.46

1.39

+0.07

Martin ratio

Return relative to average drawdown

4.32

6.43

-2.11


How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.

Risk / Return RankSharpe ratioSortino ratioOmega ratioCalmar ratioMartin ratio
QQQM
Invesco NASDAQ 100 ETF
601.051.631.231.957.03
SCHG
Schwab U.S. Large-Cap Growth ETF
350.721.191.171.043.47
ARKK
ARK Innovation ETF
450.931.561.181.393.54
SMH
VanEck Semiconductor ETF
942.282.891.415.3418.94
BLOK
Amplify Transformational Data Sharing ETF
330.731.261.150.932.26
BTCI
NEOS Bitcoin High Income ETF
6-0.44-0.390.95-0.36-0.78
BOTZ
Global X Robotics & Artificial Intelligence Thematic ETF
300.591.051.130.903.20

Sharpe Ratio

The Sharpe ratio helps investors understand how much return they're getting for the level of risk taken. A higher Sharpe ratio indicates better risk-adjusted performance, meaning more reward for each unit of risk.

Aggressive Allocation Sharpe ratios as of Apr 2, 2026 (values are recalculated daily):

  • 1-Year: 0.96
  • All Time: 0.61

These values reflect how efficiently the investment has delivered returns relative to its volatility over different time periods. All figures are annualized and based on daily total returns (including price changes and dividends).

Compared to the broad market, where average Sharpe ratios range from 1.01 to 1.70, this portfolio's current Sharpe ratio places it in the bottom 25%. This suggests weaker risk-adjusted returns than most portfolios, possibly due to lower returns, higher volatility, or both. It may be worth reviewing the allocation. You can use the Portfolio Optimization tool to explore options for improving the Sharpe ratio.

The chart below shows the rolling Sharpe ratio of Aggressive Allocation compared to the selected benchmark. This view highlights how the investment's risk-adjusted performance has changed over time.


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Dividends

Dividend yield

Aggressive Allocation provided a 4.78% dividend yield over the last twelve months.


TTM20252024202320222021202020192018201720162015
Portfolio4.78%4.00%1.56%0.55%0.48%1.77%0.69%0.73%1.28%0.61%0.33%0.91%
QQQM
Invesco NASDAQ 100 ETF
0.53%0.50%0.61%0.65%0.83%0.40%0.16%0.00%0.00%0.00%0.00%0.00%
SCHG
Schwab U.S. Large-Cap Growth ETF
0.43%0.36%0.39%0.46%0.55%0.42%0.52%0.82%1.27%1.01%1.04%1.22%
ARKK
ARK Innovation ETF
0.00%0.00%0.00%0.70%0.00%0.55%1.64%0.38%3.14%1.32%0.00%2.27%
SMH
VanEck Semiconductor ETF
0.28%0.31%0.44%0.60%1.18%0.51%0.69%1.50%1.88%1.43%0.80%2.14%
BLOK
Amplify Transformational Data Sharing ETF
0.81%0.72%6.00%1.15%0.00%14.31%1.88%2.05%1.30%0.00%0.00%0.00%
BTCI
NEOS Bitcoin High Income ETF
43.92%36.46%6.76%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
BOTZ
Global X Robotics & Artificial Intelligence Thematic ETF
0.71%0.66%0.13%0.20%0.23%0.16%0.19%0.83%1.44%0.01%0.06%0.00%

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.


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Worst Drawdowns

The table below displays the maximum drawdowns of the Aggressive Allocation. 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 Aggressive Allocation was 27.91%, occurring on Apr 8, 2025. Recovery took 43 trading sessions.

The current Aggressive Allocation drawdown is 15.36%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-27.91%Jan 24, 202552Apr 8, 202543Jun 10, 202595
-19.99%Oct 28, 2025105Mar 30, 2026
-7.2%Dec 17, 202417Jan 13, 20256Jan 22, 202523
-4.81%Oct 9, 20252Oct 10, 202511Oct 27, 202513
-4.23%Aug 14, 20256Aug 21, 202514Sep 11, 202520

Volatility

Volatility Chart

The chart below shows the rolling one-month volatility.


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Diversification

Diversification Metrics


Number of Effective Assets

The portfolio contains 7 assets, with an effective number of assets of 6.45, reflecting the diversification based on asset allocation. This number of effective assets indicates a moderate level of diversification, where some assets may have a more significant influence on overall performance.

Asset Correlations Table

The table below displays the correlation coefficients between the individual components of the portfolio, the entire portfolio, and the chosen benchmark.

BenchmarkBTCISMHBOTZBLOKARKKSCHGQQQMPortfolio
Benchmark1.000.450.790.790.700.770.940.940.86
BTCI0.451.000.410.470.750.600.470.480.71
SMH0.790.411.000.740.630.670.800.860.81
BOTZ0.790.470.741.000.710.740.800.790.84
BLOK0.700.750.630.711.000.820.700.710.90
ARKK0.770.600.670.740.821.000.800.790.92
SCHG0.940.470.800.800.700.801.000.970.89
QQQM0.940.480.860.790.710.790.971.000.90
Portfolio0.860.710.810.840.900.920.890.901.00
The correlation results are calculated based on daily price changes starting from Oct 18, 2024