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AI24
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


NVDA 40.00%MSFT 10.00%AVGO 10.00%MU 10.00%AAPL 10.00%GOOGL 10.00%AMZN 10.00%EquityEquity

S&P 500 Index

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Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in AI24, 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.


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Returns By Period

As of Jun 13, 2026, the AI24 returned 25.70% Year-To-Date and 51.06% of annualized return in the last 10 years.


Position1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.50%0.31%8.56%8.85%24.33%19.37%11.84%13.61%
Portfolio
AI24
-0.52%-1.49%25.70%31.74%80.10%61.94%47.68%51.06%
AAPL
Apple Inc
-1.52%-3.03%7.29%4.81%48.78%17.21%18.59%29.36%
AMZN
Amazon.com, Inc
-1.23%-9.69%3.35%5.46%12.47%23.49%7.35%20.83%
AVGO
Broadcom Inc.
-0.91%-10.14%10.62%6.58%54.87%67.17%55.09%40.96%
GOOGL
Alphabet Inc. Class A
0.53%-9.30%15.06%16.44%106.51%43.10%24.46%25.76%
MSFT
Microsoft Corporation
0.10%-7.19%-18.85%-17.98%-17.07%6.16%9.56%24.39%
MU
Micron Technology, Inc.
-1.43%35.46%244.07%307.41%751.18%144.69%66.21%55.83%
NVDA
NVIDIA Corporation
0.16%-8.83%10.16%17.38%44.72%71.13%63.13%67.95%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Aug 6, 2009, AI24's average daily return is +0.15%, while the average monthly return is +3.18%. At this rate, an investment would double in approximately 1.8 years.

Historically, 66% of months were positive and 34% were negative. The best month was Jan 2011 with a return of +25.8%, while the worst month was Apr 2022 at -21.4%. The longest winning streak lasted 12 consecutive months, and the longest losing streak was 5 months.

On a daily basis, AI24 closed higher 55% of trading days. The best single day was Apr 9, 2025 with a return of +15.8%, while the worst single day was Mar 16, 2020 at -15.8%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20264.64%-5.84%-5.23%22.42%16.29%-5.44%25.70%
2025-2.93%-2.42%-10.74%0.61%17.62%13.47%6.97%1.54%10.00%11.31%-2.53%2.41%50.73%
202410.74%15.76%10.42%-2.68%14.56%10.97%-4.75%-0.72%3.02%2.66%3.07%3.70%87.19%
202320.93%6.67%15.09%1.89%21.85%6.86%7.21%2.37%-8.56%-1.89%12.26%6.68%132.23%
2022-11.66%-0.07%5.82%-21.38%0.50%-14.44%16.34%-10.66%-14.33%5.91%13.89%-11.02%-39.64%
20211.17%4.46%-1.06%8.67%2.29%13.30%0.16%7.86%-6.26%13.82%15.32%-1.50%72.43%

Benchmark Metrics

AI24 has an annualized alpha of 21.80%, beta of 1.42, and R2 of 0.63 versus S&P 500 Index. Calculated based on daily prices since August 06, 2009.

  • This portfolio captured 233.22% of S&P 500 Index gains and 110.51% of its losses - amplifying both gains and losses, but participating more in upside than downside.
  • This portfolio generated an annualized alpha of 21.80% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.

Alpha
21.80%
Beta
1.42
0.63
Upside Capture
233.22%
Downside Capture
110.51%

Expense Ratio

AI24 has an expense ratio of 0.00%, meaning no management fees are charged. Below, you can find the expense ratios of the portfolio's funds side by side and easily compare their relative costs.


The portfolio doesn't include any funds that charge management fees.

Return for Risk

Risk / Return Rank

AI24 ranks 86 for risk / return — in the top 86% 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.


AI24 Risk / Return Rank: 8686
Overall Rank
AI24 Sharpe Ratio Rank: 9191
Sharpe Ratio Rank
AI24 Sortino Ratio Rank: 8383
Sortino Ratio Rank
AI24 Omega Ratio Rank: 8080
Omega Ratio Rank
AI24 Calmar Ratio Rank: 8888
Calmar Ratio Rank
AI24 Martin Ratio Rank: 8787
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

The table below presents risk-adjusted performance metrics for AI24 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.


PortfolioBenchmarkDifference
Sharpe ratioReturn per unit of total volatility

2.92

1.86

+1.06

Sortino ratioReturn per unit of downside risk

3.41

2.53

+0.88

Omega ratioGain probability vs. loss probability

1.44

1.34

+0.11

Calmar ratioReturn relative to maximum drawdown

4.76

2.53

+2.23

Martin ratioReturn relative to average drawdown

18.26

11.37

+6.89


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

PositionRisk / Return RankSharpe ratioSortino ratioOmega ratioCalmar ratioMartin ratio
AAPL
Apple Inc
87
2.072.931.383.408.47
AMZN
Amazon.com, Inc
53
0.400.761.090.551.29
AVGO
Broadcom Inc.
73
1.111.691.221.774.11
GOOGL
Alphabet Inc. Class A
96
3.624.921.595.2018.48
MSFT
Microsoft Corporation
17
-0.70-0.840.89-0.53-1.08
MU
Micron Technology, Inc.
99
10.836.141.7824.9194.64
NVDA
NVIDIA Corporation
74
1.201.751.212.074.94

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. Learn how to interpret the Sharpe ratio.

The current AI24 Sharpe ratio is 2.92 as of Jun 13, 2026 (the value is recalculated daily), calculated over the past 12 months.

Compared to the broad market, where average Sharpe ratios range from 1.53 to 2.41, this portfolio's current Sharpe ratio is in the top 25%. This signifies superior risk-adjusted performance, meaning the portfolio is delivering strong returns for the level of risk taken compared to most others.

The chart below shows the rolling Sharpe ratio of AI24 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

AI24 provided a 0.28% dividend yield over the last twelve months.


PositionTTM20252024202320222021202020192018201720162015
Portfolio0.28%0.23%0.30%0.36%0.61%0.38%0.51%0.69%0.84%0.64%0.75%1.02%
AAPL
Apple Inc
0.36%0.38%0.40%0.49%0.70%0.49%0.61%1.04%1.79%1.45%1.93%1.93%
AMZN
Amazon.com, Inc
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
AVGO
Broadcom Inc.
0.65%0.70%0.94%1.71%3.02%2.24%3.05%3.54%3.11%1.87%1.43%1.13%
GOOGL
Alphabet Inc. Class A
0.24%0.27%0.32%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
MSFT
Microsoft Corporation
0.91%0.70%0.73%0.74%1.06%0.68%0.94%1.20%1.69%1.86%2.37%2.33%
MU
Micron Technology, Inc.
0.05%0.16%0.55%0.54%0.89%0.21%0.00%0.00%0.00%0.00%0.00%0.00%
NVDA
NVIDIA Corporation
0.14%0.02%0.03%0.03%0.11%0.05%0.12%0.27%0.46%0.29%0.45%1.20%

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 AI24. 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 AI24 was 47.42%, occurring on Oct 14, 2022. Recovery took 153 trading sessions.

The current AI24 drawdown is 8.75%.


Related event

Drawdown

Fall

Recovery

Underwater

Bear market2022
-47.42%Oct 2022
9mo 20d7mo 13d
1y 4moDec 2021 - May 2023
Rate-hike selloffLate 2018
-37.55%Dec 2018
2mo 23d11mo 6d
1y 1moOct 2018 - Nov 2019
2011 bear market2011
-35.95%Aug 2011
6mo 2d1y 10mo
2y 4moFeb 2011 - Jul 2013
COVID crash2020
-33.94%Mar 2020
25d2mo 3d
2mo 28dFeb 2020 - May 2020
2025 selloff2025
-31.44%Apr 2025
2mo 11d2mo 21d
5mo 2dJan 2025 - Jun 2025

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 4.55, reflecting the diversification based on asset allocation. Your allocation shows noticeable concentration: a few holdings carry significantly more weight than the rest. Rebalancing toward more even weights — or adding less correlated assets — could reduce risk.


Diversification Ratio
1Y
3Y
5Y
10Y
All Time
Diversification Ratio

1.43

1.28

1.22

1.21

1.26

The portfolio has a diversification ratio of 1.26, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.

AI24 correlation to the S&P 500 Index

AI24 has a 0.76 correlation to S&P 500 Index over the trailing 12 months. This section compares each holding's correlation to the benchmark and to the portfolio.

Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.76

Correlation (3Y)
Calculated over the trailing 3-year period

0.76

Correlation (5Y)
Calculated over the trailing 5-year period

0.81

Correlation (10Y)
Calculated over the trailing 10-year period

0.77

Correlation (All Time)
Calculated using the full available price history since Aug 6, 2009

0.75


Benchmark Correlations

Correlation vs. S&P 500 Index. MSFT has the highest benchmark correlation at 0.70, while MU has the lowest at 0.58.

MU
0.58
NVDA
0.61
AVGO
0.61
AMZN
0.62
AAPL
0.62
GOOGL
0.67
MSFT
0.70

Portfolio Correlations

Correlation vs. AI24. NVDA has the highest portfolio correlation at 0.92, while AAPL has the lowest at 0.60.

AAPL
0.60
AMZN
0.64
GOOGL
0.64
MSFT
0.66
AVGO
0.70
MU
0.71
NVDA
0.92

Asset Correlations Table

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

The correlation results are calculated based on daily price changes starting from Aug 6, 2009
Diversification Analysis

Find what AI24 is missing

See which holdings overlap, where AI24 is concentrated, and which low-correlation assets could fill the gaps.

Analyze Diversification