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ETF - with sector
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


UGL 25.00%BITO 10.00%SSO 30.00%QLD 20.00%MAGS 15.00%CommodityCommodityCryptocurrencyCryptocurrencyEquityEquity

S&P 500 Index

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Find the right asset allocation for ETF - with sector

Add portfolio to the optimizer to find optimal allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in ETF - with sector, 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%0.31%8.56%8.85%24.33%19.37%11.84%13.61%
Portfolio
ETF - with sector
0.72%-5.11%6.50%6.48%37.05%42.58%
BITO
ProShares Bitcoin Strategy ETF
0.12%-19.87%-28.44%-30.74%-41.98%26.35%
MAGS
Roundhill Magnificent Seven ETF
0.00%-7.06%-1.59%-0.43%23.92%31.29%
QLD
ProShares Ultra QQQ
1.30%2.58%32.65%32.82%73.89%44.57%23.24%35.67%
SSO
ProShares Ultra S&P500
1.03%0.12%15.08%15.47%47.12%34.18%18.57%24.02%
UGL
ProShares Ultra Gold
0.08%-14.99%-12.66%-12.99%29.41%47.90%24.60%16.37%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Apr 11, 2023, ETF - with sector's average daily return is +0.16%, while the average monthly return is +3.18%. At this rate, an investment would double in approximately 1.8 years.

Historically, 77% of months were positive and 23% were negative. The best month was Apr 2026 with a return of +15.4%, while the worst month was Mar 2026 at -12.9%. The longest winning streak lasted 7 consecutive months, and the longest losing streak was 2 months.

On a daily basis, ETF - with sector closed higher 57% of trading days. The best single day was Apr 9, 2025 with a return of +14.7%, while the worst single day was Apr 4, 2025 at -7.7%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20266.21%0.20%-12.93%15.42%8.02%-7.81%6.50%
20256.47%-4.30%-2.76%2.38%9.77%6.69%3.26%3.38%11.54%4.73%-0.11%0.22%48.30%
20240.73%11.36%7.90%-5.20%8.20%4.29%2.81%1.06%6.37%1.66%8.85%-2.01%55.15%
20231.84%3.03%7.17%4.49%-4.07%-8.15%3.41%12.89%6.93%29.21%

Benchmark Metrics

ETF - with sector has an annualized alpha of 10.04%, beta of 1.53, and R2 of 0.76 versus S&P 500 Index. Calculated based on daily prices since April 11, 2023.

  • This portfolio captured 199.78% of S&P 500 Index gains and 120.92% of its losses - amplifying both gains and losses, but participating more in upside than downside.
  • This portfolio generated an annualized alpha of 10.04% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
  • Beta of 1.53 means this portfolio moves significantly more than S&P 500 Index - expect amplified gains in rallies and amplified losses in downturns.

Alpha
10.04%
Beta
1.53
0.76
Upside Capture
199.78%
Downside Capture
120.92%

Expense Ratio

ETF - with sector has an expense ratio of 0.83%, 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

ETF - with sector ranks 19 for risk / return — in the bottom 19% 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.


ETF - with sector Risk / Return Rank: 1919
Overall Rank
ETF - with sector Sharpe Ratio Rank: 2020
Sharpe Ratio Rank
ETF - with sector Sortino Ratio Rank: 1818
Sortino Ratio Rank
ETF - with sector Omega Ratio Rank: 2121
Omega Ratio Rank
ETF - with sector Calmar Ratio Rank: 1717
Calmar Ratio Rank
ETF - with sector 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 ETF - with sector 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

1.31

1.86

-0.55

Sortino ratioReturn per unit of downside risk

1.74

2.53

-0.79

Omega ratioGain probability vs. loss probability

1.24

1.34

-0.09

Calmar ratioReturn relative to maximum drawdown

1.48

2.53

-1.05

Martin ratioReturn relative to average drawdown

5.06

11.37

-6.31


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
BITO
ProShares Bitcoin Strategy ETF
2
-0.98-1.430.84-0.81-1.42
MAGS
Roundhill Magnificent Seven ETF
32
1.141.621.201.254.21
QLD
ProShares Ultra QQQ
62
2.042.481.332.789.46
SSO
ProShares Ultra S&P500
57
1.792.331.312.4210.37
UGL
ProShares Ultra Gold
21
0.611.071.160.711.85

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 ETF - with sector Sharpe ratio is 1.31 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 ETF - with sector 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

ETF - with sector provided a 7.40% dividend yield over the last twelve months.


PositionTTM20252024202320222021202020192018201720162015
Portfolio7.40%8.29%6.59%1.70%0.21%0.05%0.06%0.18%0.24%0.12%0.19%0.21%
BITO
ProShares Bitcoin Strategy ETF
69.59%78.29%61.59%15.14%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
MAGS
Roundhill Magnificent Seven ETF
1.50%1.48%0.81%0.44%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
QLD
ProShares Ultra QQQ
0.13%0.17%0.25%0.33%0.31%0.00%0.00%0.13%0.06%0.02%0.21%0.11%
SSO
ProShares Ultra S&P500
0.64%0.68%0.85%0.18%0.50%0.18%0.20%0.50%0.75%0.39%0.51%0.63%
UGL
ProShares Ultra Gold
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 ETF - with sector. 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 ETF - with sector was 24.63%, occurring on Apr 8, 2025. Recovery took 27 trading sessions.

The current ETF - with sector drawdown is 8.03%.


Related event

Drawdown

Fall

Recovery

Underwater

2025 selloff2025
-24.63%Apr 2025
1mo 17d1mo 8d
2mo 25dFeb 2025 - May 2025
2026 bear market2026
-24.37%Mar 2026
2mo
4mo 17dJan 2026 - now
2024 correction2024
-15.35%Aug 2024
21d1mo 14d
2mo 5dJul 2024 - Sep 2024
2023 correction2023
-14.03%Oct 2023
2mo 15d1mo 18d
4mo 3dJul 2023 - Nov 2023
2025 correction2025
-10.23%Nov 2025
1mo1mo 2d
2mo 2dOct 2025 - Dec 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 5 assets, with an effective number of assets of 4.44, reflecting the diversification based on asset allocation. Your capital is well-distributed across most of your holdings, with only mild concentration in a few names. True diversification also depends on the correlations between assets — check the diversification ratio below.


Diversification Ratio
1Y
3Y
All Time
Diversification Ratio

1.32

1.36

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.

ETF - with sector correlation to the S&P 500 Index

ETF - with sector 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

0.86

Correlation (All Time)
Calculated using the full available price history since Apr 11, 2023

0.86


Benchmark Correlations

Correlation vs. S&P 500 Index. SSO has the highest benchmark correlation at 1.00, while UGL has the lowest at 0.15.

UGL
0.15
BITO
0.35
MAGS
0.81
QLD
0.93
SSO
1.00

Portfolio Correlations

Correlation vs. ETF - with sector. QLD has the highest portfolio correlation at 0.86, while UGL has the lowest at 0.49.

UGL
0.49
BITO
0.53
MAGS
0.78
SSO
0.86
QLD
0.86

Asset Correlations Table

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

UGLBITOMAGSQLDSSO
UGL1.000.130.070.120.15
BITO0.131.000.320.350.35
MAGS0.070.321.000.890.80
QLD0.120.350.891.000.93
SSO0.150.350.800.931.00
The correlation results are calculated based on daily price changes starting from Apr 11, 2023
Diversification Analysis

Find what ETF - with sector is missing

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

Analyze Diversification