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M7
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


NVDA 14.40%AAPL 14.30%GOOGL 14.30%META 14.30%AMZN 14.30%MSFT 14.30%TSLA 14.10%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 M7, 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 month.


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Returns By Period

As of Jun 13, 2026, the M7 returned -0.47% Year-To-Date and 35.98% 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
M7
-0.06%-7.07%-0.47%0.79%26.67%32.19%25.08%35.98%
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%
GOOGL
Alphabet Inc. Class A
0.53%-9.30%15.06%16.44%106.51%43.10%24.46%25.76%
META
Meta Platforms, Inc.
-0.26%-7.69%-14.03%-11.84%-16.71%28.18%11.52%17.39%
MSFT
Microsoft Corporation
0.10%-7.19%-18.85%-17.98%-17.07%6.16%9.56%24.39%
NVDA
NVIDIA Corporation
0.16%-8.83%10.16%17.38%44.72%71.13%63.13%67.95%
TSLA
Tesla, Inc.
1.82%-3.74%-9.63%-11.45%24.94%16.25%14.86%39.72%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since May 18, 2012, M7's average daily return is +0.14%, while the average monthly return is +2.81%. At this rate, an investment would double in approximately 2.1 years.

Historically, 64% of months were positive and 36% were negative. The best month was Aug 2020 with a return of +22.7%, while the worst month was Apr 2022 at -17.5%. The longest winning streak lasted 11 consecutive months, and the longest losing streak was 4 months.

On a daily basis, M7 closed higher 56% of trading days. The best single day was Apr 9, 2025 with a return of +14.6%, while the worst single day was Mar 16, 2020 at -13.6%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20260.50%-7.03%-5.55%14.65%7.14%-8.19%-0.47%
20252.25%-7.95%-10.22%0.73%13.68%6.13%5.68%2.26%8.72%4.69%-1.60%0.62%25.07%
20242.13%11.12%1.18%-2.07%8.59%9.19%-0.42%-0.20%6.45%-0.18%8.90%5.60%61.90%
202321.00%5.85%13.59%1.08%16.16%9.61%5.33%-0.78%-5.38%-2.72%11.89%3.93%109.46%
2022-8.54%-6.68%8.56%-17.53%-3.75%-10.88%15.93%-6.41%-12.24%-5.03%6.32%-13.12%-45.25%
20211.94%-1.36%2.15%10.03%-2.28%9.60%2.85%7.28%-5.56%14.00%5.93%-1.08%50.69%

Benchmark Metrics

M7 has an annualized alpha of 17.49%, beta of 1.31, and R2 of 0.68 versus S&P 500 Index. Calculated based on daily prices since May 18, 2012.

  • This portfolio captured 193.85% of S&P 500 Index gains but only 97.03% of its losses - a favorable profile for investors.
  • This portfolio generated an annualized alpha of 17.49% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.

Alpha
17.49%
Beta
1.31
0.68
Upside Capture
193.85%
Downside Capture
97.03%

Expense Ratio

M7 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

M7 ranks 18 for risk / return — in the bottom 18% of Portfolios on our site. This means you're taking on significantly more risk than the returns justify. Consider whether the potential upside is worth the volatility, or explore alternatives with better risk / return profiles.


M7 Risk / Return Rank: 1818
Overall Rank
M7 Sharpe Ratio Rank: 1919
Sharpe Ratio Rank
M7 Sortino Ratio Rank: 1919
Sortino Ratio Rank
M7 Omega Ratio Rank: 1919
Omega Ratio Rank
M7 Calmar Ratio Rank: 1616
Calmar Ratio Rank
M7 Martin Ratio Rank: 1818
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 M7 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

1.29

1.86

-0.57

Sortino ratioReturn per unit of downside risk

1.80

2.53

-0.73

Omega ratioGain probability vs. loss probability

1.22

1.34

-0.11

Calmar ratioReturn relative to maximum drawdown

1.45

2.53

-1.08

Martin ratioReturn relative to average drawdown

5.02

11.37

-6.35


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
GOOGL
Alphabet Inc. Class A
96
3.624.921.595.2018.48
META
Meta Platforms, Inc.
20
-0.51-0.540.93-0.54-1.12
MSFT
Microsoft Corporation
17
-0.70-0.840.89-0.53-1.08
NVDA
NVIDIA Corporation
74
1.201.751.212.074.94
TSLA
Tesla, Inc.
61
0.621.131.130.922.10

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 M7 Sharpe ratio is 1.29 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 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 M7 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

M7 provided a 0.29% dividend yield over the last twelve months.


PositionTTM20252024202320222021202020192018201720162015
Portfolio0.29%0.24%0.26%0.18%0.27%0.18%0.24%0.36%0.56%0.52%0.68%0.78%
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%
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%
META
Meta Platforms, Inc.
0.37%0.32%0.34%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%
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%
TSLA
Tesla, 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%

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 M7. 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 M7 was 49.00%, occurring on Dec 28, 2022. Recovery took 128 trading sessions.

The current M7 drawdown is 8.42%.


Related event

Drawdown

Fall

Recovery

Underwater

Bear market2022
-49.00%Dec 2022
1y 1mo6mo 9d
1y 7moNov 2021 - Jul 2023
COVID crash2020
-32.99%Mar 2020
25d2mo 3d
2mo 28dFeb 2020 - May 2020
2025 selloff2025
-29.50%Apr 2025
3mo 21d3mo 11d
7mo 2dDec 2024 - Jul 2025
Rate-hike selloffLate 2018
-28.10%Dec 2018
4mo 17d10mo 4d
1y 2moAug 2018 - Oct 2019
2016 correction2016
-19.54%Feb 2016
1mo 11d1mo 22d
3mo 3dDec 2015 - Apr 2016

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 7.00, 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
10Y
All Time
Diversification Ratio

1.59

1.39

1.32

1.31

1.37

The portfolio has a diversification ratio of 1.37, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.

M7 correlation to the S&P 500 Index

M7 has a 0.82 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

0.82

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

0.82

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

0.85

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

0.80

Correlation (All Time)
Calculated using the full available price history since May 18, 2012

0.77


Benchmark Correlations

Correlation vs. S&P 500 Index. MSFT has the highest benchmark correlation at 0.71, while TSLA has the lowest at 0.46.

TSLA
0.46
META
0.56
NVDA
0.61
AAPL
0.63
AMZN
0.64
GOOGL
0.68
MSFT
0.71

Portfolio Correlations

Correlation vs. M7. AMZN has the highest portfolio correlation at 0.75, while AAPL has the lowest at 0.67.

AAPL
0.67
TSLA
0.69
META
0.71
MSFT
0.72
NVDA
0.73
GOOGL
0.74
AMZN
0.75

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 May 18, 2012
Diversification Analysis

Find what M7 is missing

See which holdings overlap, where M7 is concentrated, and which low-correlation assets could fill the gaps.

Analyze Diversification