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mmmmm
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


IBKR 18.00%RHM.DE 18.00%AAPL 16.00%AVGO 16.00%FIX 16.00%EME 16.00%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 mmmmm, 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 year.


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Returns By Period

As of Jun 9, 2026, the mmmmm returned 29.80% Year-To-Date and 40.07% of annualized return in the last 10 years.


Position1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.18%2.27%10.18%9.14%21.92%17.11%13.13%13.17%
Portfolio
mmmmm
0.92%-1.63%29.80%23.09%52.13%71.40%59.75%40.07%
AAPL
Apple Inc
0.00%7.29%15.48%11.93%49.64%17.14%21.26%29.57%
AVGO
Broadcom Inc.
0.00%-8.23%13.88%-2.47%55.74%66.98%57.57%40.59%
EME
EMCOR Group, Inc.
0.66%-8.67%37.29%32.24%66.79%64.27%47.25%33.04%
FIX
Comfort Systems USA, Inc.
0.32%-3.03%102.29%89.02%259.15%122.66%87.86%50.35%
IBKR
Interactive Brokers Group, Inc.
3.38%5.83%38.62%34.20%63.68%60.66%42.18%25.04%
RHM.DE
Rheinmetall AG
-0.85%-1.34%-22.99%-21.41%-32.77%72.88%70.83%37.62%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Aug 7, 2009, mmmmm's average daily return is +0.12%, while the average monthly return is +2.62%. At this rate, an investment would double in approximately 2.2 years.

Historically, 67% of months were positive and 33% were negative. The best month was Feb 2024 with a return of +24.0%, while the worst month was Mar 2020 at -14.9%. The longest winning streak lasted 10 consecutive months, and the longest losing streak was 7 months.

On a daily basis, mmmmm closed higher 55% of trading days. The best single day was Mar 24, 2020 with a return of +8.9%, while the worst single day was Mar 16, 2020 at -14.3%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20269.73%2.32%-2.79%17.38%3.28%-1.90%29.80%
20256.87%0.66%-3.58%7.28%20.31%1.34%10.75%-2.29%12.91%1.56%-4.53%-2.99%55.94%
20247.48%23.97%7.76%0.84%5.30%-0.29%2.50%3.83%3.21%3.29%20.64%0.79%109.70%
20236.67%11.82%2.60%-1.56%4.88%7.07%4.81%2.95%-4.79%1.69%2.69%5.90%53.70%
2022-4.33%7.10%15.45%1.64%-4.25%1.89%2.85%-3.70%-1.60%13.87%4.75%-7.35%26.35%
20211.47%5.86%9.70%1.48%-1.28%1.70%-1.49%2.82%-2.03%11.13%4.37%8.33%49.71%

Benchmark Metrics

mmmmm has an annualized alpha of 16.99%, beta of 1.04, and R2 of 0.63 versus S&P 500 Index. Calculated based on daily prices since August 07, 2009.

  • This portfolio captured 166.97% of S&P 500 Index gains but only 82.44% of its losses - a favorable profile for investors.
  • This portfolio generated an annualized alpha of 16.99% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
  • With beta of 1.04 and R2 of 0.63, this portfolio moves broadly in line with S&P 500 Index - much of its variation is explained by market exposure rather than independent behavior.

Alpha
16.99%
Beta
1.04
0.63
Upside Capture
166.97%
Downside Capture
82.44%

Expense Ratio

mmmmm 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

mmmmm ranks 44 for risk / return — on par with similar Portfolios. You're getting a typical balance of risk and reward. Not a standout, but not a red flag either — a reasonable choice if other factors align with your goals.


mmmmm Risk / Return Rank: 4444
Overall Rank
mmmmm Sharpe Ratio Rank: 3636
Sharpe Ratio Rank
mmmmm Sortino Ratio Rank: 3333
Sortino Ratio Rank
mmmmm Omega Ratio Rank: 2828
Omega Ratio Rank
mmmmm Calmar Ratio Rank: 7575
Calmar Ratio Rank
mmmmm Martin Ratio Rank: 4545
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 mmmmm and compares them with S&P 500 Index.


PortfolioBenchmarkDifference
Sharpe ratioReturn per unit of total volatility

1.92

1.79

+0.13

Sortino ratioReturn per unit of downside risk

2.56

2.33

+0.23

Omega ratioGain probability vs. loss probability

1.31

1.33

-0.02

Calmar ratioReturn relative to maximum drawdown

3.80

2.91

+0.89

Martin ratioReturn relative to average drawdown

11.34

10.82

+0.52


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
882.223.061.413.368.57
AVGO
Broadcom Inc.
751.251.811.242.064.64
EME
EMCOR Group, Inc.
831.782.191.322.736.62
FIX
Comfort Systems USA, Inc.
984.934.851.6518.9260.60
IBKR
Interactive Brokers Group, Inc.
841.702.251.283.908.88
RHM.DE
Rheinmetall AG
10-0.76-0.920.89-0.80-1.81

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.

mmmmm Sharpe ratios as of Jun 9, 2026 (values are recalculated daily):

  • 1-Year: 1.92
  • 5-Year: 2.40
  • 10-Year: 1.63
  • All Time: 1.46

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 1.63 to 2.51, this portfolio's current Sharpe ratio falls between the 25th and 75th percentiles. This indicates that its risk-adjusted performance is in line with the majority of portfolios, suggesting a balanced approach to risk and return—likely suitable for a wide range of investors.

The chart below shows the rolling Sharpe ratio of mmmmm 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

mmmmm provided a 0.44% dividend yield over the last twelve months.


PositionTTM20252024202320222021202020192018201720162015
Portfolio0.44%0.41%0.54%0.83%1.15%1.10%1.89%1.44%1.52%1.07%1.25%0.99%
AAPL
Apple Inc
0.35%0.38%0.40%0.49%0.70%0.49%0.61%1.04%1.79%1.45%1.93%1.93%
AVGO
Broadcom Inc.
0.63%0.70%0.94%1.71%3.02%2.24%3.05%3.54%3.11%1.87%1.43%1.13%
EME
EMCOR Group, Inc.
0.16%0.16%0.20%0.32%0.36%0.41%0.35%0.37%0.54%0.39%0.45%0.67%
FIX
Comfort Systems USA, Inc.
0.14%0.21%0.28%0.41%0.49%0.49%0.81%0.79%0.76%0.68%0.83%0.88%
IBKR
Interactive Brokers Group, Inc.
0.37%0.47%0.48%0.48%0.55%0.50%0.66%0.86%0.73%0.68%1.10%0.92%
RHM.DE
Rheinmetall AG
0.97%0.52%0.93%1.50%1.77%2.41%5.54%2.05%2.20%1.37%1.72%0.49%

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 mmmmm. 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 mmmmm was 38.81%, occurring on Mar 18, 2020. Recovery took 118 trading sessions.

The current mmmmm drawdown is 5.04%.


Related event

Drawdown

Fall

Recovery

Underwater

COVID crash2020
-38.81%Mar 2020
1mo 4d5mo 17d
6mo 21dFeb 2020 - Sep 2020
2011 bear market2011
-24.74%Aug 2011
6mo 8d5mo 14d
11mo 22dFeb 2011 - Feb 2012
2016 bear market2016
-23.19%Feb 2016
2mo 5d9mo 2d
11mo 7dDec 2015 - Nov 2016
Rate-hike selloffLate 2018
-20.40%Dec 2018
6mo 12d3mo 8d
9mo 20dJun 2018 - Apr 2019
2025 selloff2025
-16.30%Apr 2025
2mo 7d27d
3mo 4dJan 2025 - May 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 6 assets, with an effective number of assets of 5.98, 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

1.56

1.52

1.54

1.49

1.49

The portfolio has a diversification ratio of 1.49, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.

mmmmm correlation to the S&P 500 Index

mmmmm has a 0.61 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

0.61

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

0.64

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

0.67

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

0.73

Correlation (All Time)
Calculated using the full available price history since Aug 7, 2009

0.75


Benchmark Correlations

Correlation vs. S&P 500 Index. EME has the highest benchmark correlation at 0.64, while RHM.DE has the lowest at 0.27.

RHM.DE
0.27
IBKR
0.57
FIX
0.58
AVGO
0.61
AAPL
0.64
EME
0.64

Portfolio Correlations

Correlation vs. mmmmm. EME has the highest portfolio correlation at 0.72, while RHM.DE has the lowest at 0.55.

RHM.DE
0.55
AAPL
0.56
IBKR
0.62
AVGO
0.67
FIX
0.71
EME
0.72

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 7, 2009
Diversification Analysis

Find what mmmmm is missing

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

Analyze Diversification