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11 speed crazy
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


S&P 500 Index

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Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in 11 speed crazy, 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


Position1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.50%-0.93%8.56%8.85%24.33%19.37%11.84%13.61%
Portfolio
11 speed crazy
1.34%2.85%12.59%12.43%30.66%21.36%11.69%
CURE
Direxion Daily Healthcare Bull 3x Shares
-0.55%13.71%-7.96%-6.00%28.51%3.05%1.51%13.49%
DGS
WisdomTree Emerging Markets SmallCap Dividend Fund
0.65%1.51%14.94%17.07%25.61%15.36%8.06%10.14%
FAS
Direxion Daily Financial Bull 3X Shares
4.15%10.95%-13.50%-13.89%7.93%38.21%7.30%21.20%
O
Realty Income Corporation
1.31%1.67%13.70%11.57%14.88%6.59%3.49%4.89%
QQQM
Invesco NASDAQ 100 ETF
0.67%0.22%17.59%17.91%37.64%26.52%16.94%
RWJ
Invesco S&P SmallCap 600 Revenue ETF
1.08%7.83%21.05%17.99%42.98%17.13%8.52%13.64%
UCC
ProShares Ultra Consumer Services
0.57%-4.37%-8.62%-10.29%12.48%14.37%-0.24%13.99%
UTES
Virtus Reaves Utilities ETF
1.56%-0.82%0.26%0.49%8.95%22.00%15.32%12.27%
UXI
ProShares Ultra Industrials
0.84%1.14%23.82%21.89%44.03%33.12%12.39%19.65%
UYM
ProShares Ultra Basic Materials
3.74%1.10%27.95%30.38%36.06%11.85%4.60%12.48%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Oct 13, 2020, 11 speed crazy's average daily return is +0.08%, while the average monthly return is +1.69%. At this rate, an investment would double in approximately 3.4 years.

Historically, 61% of months were positive and 39% were negative. The best month was Nov 2020 with a return of +21.6%, while the worst month was Sep 2022 at -14.3%. The longest winning streak lasted 7 consecutive months, and the longest losing streak was 3 months.

On a daily basis, 11 speed crazy closed higher 53% of trading days. The best single day was Apr 9, 2025 with a return of +12.1%, while the worst single day was Apr 4, 2025 at -9.5%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20265.32%5.34%-8.35%8.51%0.29%1.74%12.59%
20257.42%-1.27%-5.80%-4.60%6.13%5.07%0.64%5.26%2.32%-0.99%4.03%0.03%18.70%
2024-1.56%7.02%6.48%-6.02%3.96%-0.53%6.90%4.38%2.99%-3.12%9.75%-9.47%20.61%
20239.73%-5.58%-1.67%1.08%-5.51%11.68%5.46%-4.41%-7.08%-6.17%13.49%8.84%17.99%
2022-6.34%-1.39%6.41%-10.72%1.30%-13.86%13.11%-5.29%-14.26%15.48%10.15%-7.61%-17.37%
20210.36%7.13%9.53%7.47%3.20%-0.64%1.54%4.23%-6.82%9.76%-4.43%8.53%45.73%

Benchmark Metrics

11 speed crazy has an annualized alpha of 0.83%, beta of 1.34, and R2 of 0.84 versus S&P 500 Index. Calculated based on daily prices since October 13, 2020.

  • This portfolio captured 155.44% of S&P 500 Index gains and 132.94% of its losses - amplifying both gains and losses, but participating more in upside than downside.

Alpha
0.83%
Beta
1.34
0.84
Upside Capture
155.44%
Downside Capture
132.94%

Expense Ratio

11 speed crazy has an expense ratio of 0.60%, 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

11 speed crazy ranks 30 for risk / return — below 30% 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.


11 speed crazy Risk / Return Rank: 3030
Overall Rank
11 speed crazy Sharpe Ratio Rank: 2727
Sharpe Ratio Rank
11 speed crazy Sortino Ratio Rank: 2828
Sortino Ratio Rank
11 speed crazy Omega Ratio Rank: 2525
Omega Ratio Rank
11 speed crazy Calmar Ratio Rank: 3636
Calmar Ratio Rank
11 speed crazy Martin Ratio Rank: 3636
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 11 speed crazy 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

1.56

1.86

-0.30

Sortino ratioReturn per unit of downside risk

2.22

2.53

-0.31

Omega ratioGain probability vs. loss probability

1.27

1.34

-0.07

Calmar ratioReturn relative to maximum drawdown

2.44

2.53

-0.09

Martin ratioReturn relative to average drawdown

9.29

11.37

-2.09


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

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.

The current 11 speed crazy Sharpe ratio is 1.56 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 1.54 to 2.41, 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 11 speed crazy 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

11 speed crazy provided a 2.52% dividend yield over the last twelve months.


PositionTTM20252024202320222021202020192018201720162015
Portfolio2.52%2.61%1.69%2.02%1.85%1.47%1.68%1.86%1.74%1.44%1.38%1.22%
CURE
Direxion Daily Healthcare Bull 3x Shares
1.16%1.12%1.17%2.02%0.38%0.02%0.17%0.40%0.70%0.18%0.00%0.00%
DGS
WisdomTree Emerging Markets SmallCap Dividend Fund
3.20%3.45%3.36%4.55%5.34%3.98%3.69%3.95%4.24%2.81%3.42%3.28%
FAS
Direxion Daily Financial Bull 3X Shares
9.64%8.21%0.76%1.77%0.91%0.60%0.47%0.62%1.43%0.11%0.00%0.00%
O
Realty Income Corporation
5.16%6.19%5.37%5.33%4.68%3.87%4.51%3.69%4.19%4.45%4.18%4.41%
QQQM
Invesco NASDAQ 100 ETF
0.43%0.50%0.61%0.65%0.83%0.40%0.16%0.00%0.00%0.00%0.00%0.00%
RWJ
Invesco S&P SmallCap 600 Revenue ETF
0.97%1.11%1.15%1.34%1.02%0.61%0.89%1.22%1.44%1.11%0.60%0.74%
UCC
ProShares Ultra Consumer Services
1.18%1.10%0.17%0.04%0.25%0.00%0.02%0.17%0.18%0.14%0.21%0.14%
UTES
Virtus Reaves Utilities ETF
1.49%1.42%1.51%2.44%2.13%1.94%2.09%1.84%2.09%3.44%3.53%0.61%
UXI
ProShares Ultra Industrials
0.66%0.90%0.18%0.21%0.24%0.03%0.29%0.58%0.37%0.24%0.38%0.41%
UYM
ProShares Ultra Basic Materials
1.19%1.47%0.98%0.28%0.88%0.52%0.56%1.24%0.94%0.38%0.55%0.42%

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 11 speed crazy. 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 11 speed crazy was 30.61%, occurring on Sep 30, 2022. Recovery took 349 trading sessions.


Related event

Drawdown

Fall

Recovery

Underwater

Bear market2022
-30.61%Sep 2022
8mo 28d1y 4mo
2y 1moJan 2022 - Feb 2024
2025 selloff2025
-26.04%Apr 2025
4mo 7d3mo 16d
7mo 23dDec 2024 - Jul 2025
2026 correction2026
-11.72%Mar 2026
18d1mo 17d
2mo 5dMar 2026 - May 2026
2020 correction2020
-10.76%Oct 2020
15d12d
27dOct 2020 - Nov 2020
2024 pullback2024
-9.25%Aug 2024
19d14d
1mo 3dJul 2024 - Aug 2024

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 11 assets, with an effective number of assets of 11.00, 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
All Time
Diversification Ratio

1.50

1.33

1.27

1.29

The portfolio has a diversification ratio of 1.29, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.

11 speed crazy correlation to the S&P 500 Index

11 speed crazy has a 0.78 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

0.78

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

0.83

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

0.88

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 0.92, while XLE has the lowest at 0.32.

XLE
0.32
O
0.33
UTES
0.46
CURE
0.59
DGS
0.64
UYM
0.69
RWJ
0.69
FAS
0.73
UXI
0.83
UCC
0.84
QQQM
0.92

Portfolio Correlations

Correlation vs. 11 speed crazy. UXI has the highest portfolio correlation at 0.91, while O has the lowest at 0.48.

O
0.48
XLE
0.50
UTES
0.53
DGS
0.66
CURE
0.67
QQQM
0.69
UCC
0.77
RWJ
0.84
UYM
0.85
FAS
0.86
UXI
0.91

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 Oct 13, 2020
Diversification Analysis

Find what 11 speed crazy is missing

See which holdings overlap, where 11 speed crazy is concentrated, and which low-correlation assets could fill the gaps.

Analyze Diversification