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metals
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


HYG 17.50%GC=F 30.00%PA=F 5.00%BTC-USD 7.50%IGM 20.00%OEF 20.00%BondBondCommodityCommodityCryptocurrencyCryptocurrencyEquityEquity

S&P 500 Index

Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in metals, 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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The earliest data available for this chart is Jul 31, 2012, corresponding to the inception date of BTC-USD

Returns By Period

As of Apr 16, 2026, the metals returned 3.84% Year-To-Date and 22.36% of annualized return in the last 10 years.


1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.80%4.83%2.59%5.27%30.14%19.29%10.91%12.94%
Portfolio
metals
0.60%2.12%3.84%4.78%36.65%27.53%15.01%22.36%
PA=F
Palladium
-0.31%-0.63%-3.36%-0.97%60.83%1.71%-10.72%10.73%
GC=F
Gold
-0.23%-3.61%11.29%15.25%49.56%33.97%22.03%14.59%
IGM
iShares Expanded Tech Sector ETF
1.84%9.26%4.75%5.88%53.82%34.41%16.26%22.55%
HYG
iShares iBoxx $ High Yield Corporate Bond ETF
-0.05%1.76%1.26%2.52%10.28%8.45%3.89%5.16%
BTC-USD
Bitcoin
0.82%-0.13%-14.52%-32.50%-10.57%35.11%4.01%67.47%
OEF
iShares S&P 100 ETF
1.16%5.24%0.91%4.21%33.49%23.52%13.93%15.85%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Aug 1, 2012, metals's average daily return is +0.06%, while the average monthly return is +1.90%. At this rate, an investment would double in approximately 3.1 years.

Historically, 66% of months were positive and 34% were negative. The best month was Nov 2013 with a return of +49.0%, while the worst month was Dec 2013 at -15.3%. The longest winning streak lasted 8 consecutive months, and the longest losing streak was 4 months.

On a daily basis, metals closed higher 55% of trading days. The best single day was Nov 18, 2013 with a return of +10.4%, while the worst single day was Mar 12, 2020 at -9.6%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20262.22%1.61%-6.56%7.00%3.84%
20254.93%-3.00%0.26%2.78%4.78%4.36%2.28%1.60%6.80%3.46%-0.59%1.92%33.45%
20240.73%5.83%5.53%-2.48%3.75%2.60%1.17%1.41%3.83%2.14%4.00%-1.02%30.82%
20238.73%-3.08%8.01%1.04%0.90%2.49%2.62%-1.99%-3.56%2.90%6.34%4.38%31.75%
2022-3.90%1.11%1.68%-7.39%-2.91%-7.70%6.75%-4.97%-5.82%1.97%3.64%-2.38%-19.20%
2021-0.45%2.33%5.12%3.90%-0.50%-0.49%2.83%2.37%-4.85%6.56%-1.54%0.85%16.76%

Benchmark Metrics

metals has an annualized alpha of 13.43%, beta of 0.58, and R² of 0.42 versus S&P 500 Index. Calculated based on daily prices since August 01, 2012.

  • This portfolio captured 101.65% of S&P 500 Index gains but only 55.06% of its losses — a favorable profile for investors.
  • Beta of 0.58 may look defensive, but with R² of 0.42 this portfolio is largely uncorrelated with S&P 500 Index — low beta reflects independence, not downside protection. See the Volatility section for a true picture of this portfolio's risk.
  • R² of 0.42 means the benchmark explains less than half of this portfolio's behavior — treat beta with caution or consider switching to a more representative benchmark.

Alpha
13.43%
Beta
0.58
0.42
Upside Capture
101.65%
Downside Capture
55.06%

Expense Ratio

metals has an expense ratio of 0.22%, which is considered low. 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

metals ranks 29 for risk / return — below 29% 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.


metals Risk / Return Rank: 2929
Overall Rank
metals Sharpe Ratio Rank: 4343
Sharpe Ratio Rank
metals Sortino Ratio Rank: 3131
Sortino Ratio Rank
metals Omega Ratio Rank: 4040
Omega Ratio Rank
metals Calmar Ratio Rank: 1515
Calmar Ratio Rank
metals Martin Ratio Rank: 1414
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


PortfolioBenchmarkDifference

Sharpe ratio

Return per unit of total volatility

2.50

2.30

+0.20

Sortino ratio

Return per unit of downside risk

3.13

3.18

-0.05

Omega ratio

Gain probability vs. loss probability

1.44

1.43

+0.01

Calmar ratio

Return relative to maximum drawdown

1.94

3.40

-1.46

Martin ratio

Return relative to average drawdown

5.74

15.35

-9.61


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

Risk / Return RankSharpe ratioSortino ratioOmega ratioCalmar ratioMartin ratio
PA=F
Palladium
231.001.451.211.594.09
GC=F
Gold
591.752.151.332.639.02
IGM
iShares Expanded Tech Sector ETF
622.583.331.443.3611.75
HYG
iShares iBoxx $ High Yield Corporate Bond ETF
802.533.931.534.7621.55
BTC-USD
Bitcoin
54-0.25-0.060.99-0.93-1.58
OEF
iShares S&P 100 ETF
602.393.281.443.0712.72

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.

metals Sharpe ratios as of Apr 16, 2026 (values are recalculated daily):

  • 1-Year: 2.50
  • 5-Year: 1.05
  • 10-Year: 1.54
  • All Time: 1.48

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 2.20 to 3.00, 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 metals 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

metals provided a 1.23% dividend yield over the last twelve months.


TTM20252024202320222021202020192018201720162015
Portfolio1.23%1.20%1.30%1.31%1.37%0.95%1.20%1.35%1.50%1.37%1.52%1.61%
PA=F
Palladium
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
GC=F
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%
IGM
iShares Expanded Tech Sector ETF
0.16%0.17%0.22%0.33%0.66%0.16%0.32%0.50%0.57%0.57%0.90%0.79%
HYG
iShares iBoxx $ High Yield Corporate Bond ETF
5.80%5.71%6.01%5.74%5.30%4.02%4.88%4.99%5.54%5.12%5.27%5.90%
BTC-USD
Bitcoin
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
OEF
iShares S&P 100 ETF
0.91%0.81%1.03%1.19%1.55%1.06%1.43%1.87%2.09%1.81%2.07%2.11%

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 metals. 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 metals was 25.84%, occurring on Oct 15, 2022. Recovery took 425 trading sessions.

The current metals drawdown is 4.61%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-25.84%Nov 15, 2021335Oct 15, 2022425Dec 14, 2023760
-23.76%Feb 20, 202032Mar 22, 202078Jun 8, 2020110
-22.94%Dec 5, 201314Dec 18, 2013946Jul 21, 2016960
-17.32%Dec 17, 2017374Dec 25, 2018140May 14, 2019514
-17.07%Apr 10, 201386Jul 5, 2013124Nov 6, 2013210

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 4.79, reflecting the diversification based on asset allocation. This number of effective assets suggests a highly concentrated portfolio, where a few assets dominate the allocation, potentially increasing the portfolio's risk due to lack of diversification.

Asset Correlations Table

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

BenchmarkGC=FBTC-USDPA=FHYGIGMOEFPortfolio
Benchmark1.000.000.150.220.710.890.980.66
GC=F0.001.000.060.320.080.01-0.000.38
BTC-USD0.150.061.000.060.110.140.120.61
PA=F0.220.320.061.000.190.180.190.38
HYG0.710.080.110.191.000.580.630.50
IGM0.890.010.140.180.581.000.850.60
OEF0.98-0.000.120.190.630.851.000.59
Portfolio0.660.380.610.380.500.600.591.00
The correlation results are calculated based on daily price changes starting from Aug 1, 2012