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Commodities trade
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


BIL 10.00%GLD 10.00%SLV 10.00%BTC-USD 10.00%ETH-USD 10.00%QQQ 30.00%SCHD 20.00%BondBondCommodityCommodityCryptocurrencyCryptocurrencyEquityEquity

S&P 500 Index

Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in Commodities trade, 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 Aug 7, 2015, corresponding to the inception date of ETH-USD

Returns By Period

As of Apr 2, 2026, the Commodities trade returned -2.03% Year-To-Date and 37.67% of annualized return in the last 10 years.


1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.72%-4.45%-3.95%-2.02%16.73%16.96%10.34%12.24%
Portfolio
Commodities trade
0.74%-4.47%-2.03%-0.70%29.66%25.71%15.50%37.67%
GLD
SPDR Gold Shares
1.75%-10.65%10.47%22.97%52.25%33.69%22.00%14.11%
SLV
iShares Silver Trust
0.00%-16.46%5.77%58.80%122.46%45.50%24.10%16.87%
BTC-USD
Bitcoin
0.51%-0.38%-21.63%-42.21%-19.49%34.49%3.06%66.45%
ETH-USD
Ethereum
2.47%6.32%-27.34%-50.45%13.15%6.28%0.20%68.60%
BIL
SPDR Barclays 1-3 Month T-Bill ETF
0.03%0.30%0.88%1.84%4.00%4.71%3.28%2.13%
QQQ
Invesco QQQ ETF
1.24%-3.79%-4.76%-2.89%24.21%22.83%13.16%18.99%
SCHD
Schwab U.S. Dividend Equity ETF
-0.55%-3.43%12.17%12.91%13.70%11.84%8.32%12.25%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Aug 8, 2015, Commodities trade's average daily return is +0.11%, while the average monthly return is +3.52%. At this rate, your investment would double in approximately 1.7 years.

Historically, 64% of months were positive and 36% were negative. The best month was Feb 2016 with a return of +44.5%, while the worst month was Mar 2020 at -14.3%. The longest winning streak lasted 9 consecutive months, and the longest losing streak was 5 months.

On a daily basis, Commodities trade closed higher 54% of trading days. The best single day was Feb 11, 2016 with a return of +14.1%, while the worst single day was Mar 12, 2020 at -15.9%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20262.23%0.14%-5.00%0.74%-2.03%
20253.45%-5.10%-1.88%0.26%8.48%3.34%6.48%4.56%3.80%0.70%-1.28%3.32%28.53%
20240.14%11.02%5.99%-4.61%7.41%-0.08%0.97%-1.95%3.31%1.46%9.99%-3.43%32.96%
202311.36%-2.10%9.20%1.05%0.15%3.99%2.30%-3.12%-3.40%3.44%8.06%5.08%40.90%
2022-7.98%1.62%3.73%-9.29%-4.55%-11.28%11.60%-5.81%-6.69%5.72%1.82%-3.31%-23.93%
20218.83%5.56%10.92%7.58%-1.79%-2.49%3.95%6.50%-5.98%12.75%-0.18%-3.09%49.06%

Benchmark Metrics

Commodities trade has an annualized alpha of 27.29%, beta of 0.74, and R² of 0.31 versus S&P 500 Index. Calculated based on daily prices since August 08, 2015.

  • This portfolio captured 135.04% of S&P 500 Index gains but only 25.22% of its losses — a favorable profile for investors.
  • R² of 0.31 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
27.29%
Beta
0.74
0.31
Upside Capture
135.04%
Downside Capture
25.22%

Expense Ratio

Commodities trade has an expense ratio of 0.17%, 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

Commodities trade ranks 38 for risk / return — below 38% 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.


Commodities trade Risk / Return Rank: 3838
Overall Rank
Commodities trade Sharpe Ratio Rank: 6464
Sharpe Ratio Rank
Commodities trade Sortino Ratio Rank: 6262
Sortino Ratio Rank
Commodities trade Omega Ratio Rank: 3838
Omega Ratio Rank
Commodities trade Calmar Ratio Rank: 1212
Calmar Ratio Rank
Commodities trade Martin Ratio Rank: 1111
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

1.41

0.92

+0.49

Sortino ratio

Return per unit of downside risk

1.97

1.41

+0.56

Omega ratio

Gain probability vs. loss probability

1.24

1.21

+0.02

Calmar ratio

Return relative to maximum drawdown

0.74

1.41

-0.67

Martin ratio

Return relative to average drawdown

1.93

6.61

-4.69


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
GLD
SPDR Gold Shares
851.892.311.352.709.90
SLV
iShares Silver Trust
862.162.231.402.828.70
BTC-USD
Bitcoin
43-0.44-0.380.96-1.11-1.99
ETH-USD
Ethereum
790.180.831.09-0.85-1.46
BIL
SPDR Barclays 1-3 Month T-Bill ETF
10019.52254.20180.39368.004,131.71
QQQ
Invesco QQQ ETF
651.071.661.242.007.32
SCHD
Schwab U.S. Dividend Equity ETF
430.881.321.191.053.55

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.

Commodities trade Sharpe ratios as of Apr 2, 2026 (values are recalculated daily):

  • 1-Year: 1.41
  • 5-Year: 0.77
  • 10-Year: 1.59
  • All Time: 1.74

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 1.01 to 1.70, 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 Commodities trade 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

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


TTM20252024202320222021202020192018201720162015
Portfolio1.23%1.31%1.40%1.38%1.05%0.68%0.83%1.02%1.05%0.85%0.90%0.89%
GLD
SPDR Gold Shares
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
SLV
iShares Silver Trust
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
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%
ETH-USD
Ethereum
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
BIL
SPDR Barclays 1-3 Month T-Bill ETF
3.96%4.13%5.03%4.92%1.35%0.00%0.30%2.05%1.66%0.68%0.07%0.00%
QQQ
Invesco QQQ ETF
0.48%0.45%0.56%0.62%0.80%0.43%0.55%0.74%0.91%0.84%1.06%0.99%
SCHD
Schwab U.S. Dividend Equity ETF
3.46%3.82%3.64%3.49%3.39%2.78%3.16%2.98%3.06%2.63%2.89%2.97%

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 Commodities trade. 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 Commodities trade was 33.69%, occurring on Dec 25, 2018. Recovery took 182 trading sessions.

The current Commodities trade drawdown is 11.88%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-33.69%Jan 14, 2018346Dec 25, 2018182Jun 25, 2019528
-33.3%Nov 9, 2021341Oct 15, 2022438Dec 27, 2023779
-32.29%Feb 15, 202031Mar 16, 2020126Jul 20, 2020157
-18.97%Dec 17, 2024113Apr 8, 202560Jun 7, 2025173
-17.72%Jun 13, 201734Jul 16, 201745Aug 30, 201779

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 5.56, reflecting the diversification based on asset allocation. This number of effective assets indicates a moderate level of diversification, where some assets may have a more significant influence on overall performance.

Asset Correlations Table

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

BenchmarkBILGLDSLVBTC-USDSCHDETH-USDQQQPortfolio
Benchmark1.000.000.020.170.200.790.220.910.57
BIL0.001.000.050.030.010.03-0.000.030.01
GLD0.020.051.000.730.090.030.080.030.22
SLV0.170.030.731.000.130.130.110.140.30
BTC-USD0.200.010.090.131.000.110.650.170.72
SCHD0.790.030.030.130.111.000.120.530.38
ETH-USD0.22-0.000.080.110.650.121.000.180.81
QQQ0.910.030.030.140.170.530.181.000.49
Portfolio0.570.010.220.300.720.380.810.491.00
The correlation results are calculated based on daily price changes starting from Aug 8, 2015