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HG=F vs. SOYB
Performance
Return for Risk
Drawdowns
Volatility

Performance

HG=F vs. SOYB - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Copper (HG=F) and Teucrium Soybean Fund (SOYB). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period


HG=F

1D
1M
YTD
6M
1Y
3Y*
5Y*
10Y*

SOYB

1D
0.04%
1M
-4.85%
YTD
10.38%
6M
7.15%
1Y
11.25%
3Y*
-2.26%
5Y*
-0.20%
10Y*
1.20%
*Multi-year figures are annualized to reflect compound growth (CAGR)

HG=F vs. SOYB - Yearly Performance Comparison


2026 (YTD)2025202420232022
HG=F
Copper
0.00%0.00%0.00%0.00%1.29%
SOYB
Teucrium Soybean Fund
10.38%1.77%-20.48%-5.23%15.81%

Correlation

The correlation between HG=F and SOYB is 0.05, meaning there is essentially no relationship between their price movements. Each responds to its own set of market drivers, making them strong candidates for combining in a diversified portfolio.


Correlation
Correlation (All Time)
Calculated using the full available price history since Jan 31, 2022

0.05

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Return for Risk

HG=F vs. SOYB — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

HG=F

Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.


SOYB
SOYB Risk / Return Rank: 2727
Overall Rank
SOYB Sharpe Ratio Rank: 2727
Sharpe Ratio Rank
SOYB Sortino Ratio Rank: 2626
Sortino Ratio Rank
SOYB Omega Ratio Rank: 2626
Omega Ratio Rank
SOYB Calmar Ratio Rank: 3030
Calmar Ratio Rank
SOYB Martin Ratio Rank: 2727
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.

HG=F vs. SOYB - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Copper (HG=F) and Teucrium Soybean Fund (SOYB). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.

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.


HG=FSOYBDifference
Sharpe ratioReturn per unit of total volatility

Sortino ratioReturn per unit of downside risk

Omega ratioGain probability vs. loss probability

1.16

Calmar ratioReturn relative to maximum drawdown

1.29

Martin ratioReturn relative to average drawdown

3.08

HG=F vs. SOYB - Sharpe Ratio Comparison


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Drawdowns

HG=F vs. SOYB - Drawdown Comparison


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Drawdown Indicators


HG=FSOYBDifference

Max Drawdown

Largest peak-to-trough decline

-53.76%

Max Drawdown (1Y)

Largest decline over 1 year

-8.78%

Max Drawdown (3Y)

Largest decline over 3 years

-31.01%

Max Drawdown (5Y)

Largest decline over 5 years

-31.01%

Max Drawdown (10Y)

Largest decline over 10 years

-37.52%

Current Drawdown

Current decline from peak

-17.67%

Average Drawdown

Average peak-to-trough decline

-25.74%

Ulcer Index

Depth and duration of drawdowns from previous peaks

3.66%

Volatility

HG=F vs. SOYB - Volatility Comparison


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Volatility by Period


HG=FSOYBDifference

Volatility (1M)

Calculated over the trailing 1-month period

3.94%

Volatility (6M)

Calculated over the trailing 6-month period

9.03%

Volatility (1Y)

Calculated over the trailing 1-year period

13.16%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

17.98%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

16.96%

Frequently Asked Questions


HG=F and SOYB have a correlation of 0.05, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

Portfolio Optimizer

Find the right allocation for HG=F and SOYB

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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