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HG=F vs. ^GSPC
Performance
Return for Risk
Drawdowns
Volatility

Performance

HG=F vs. ^GSPC - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Copper (HG=F) and S&P 500 Index (^GSPC). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period


HG=F

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

^GSPC

1D
1.79%
1M
3.38%
6M
11.83%
YTD
13.02%
1Y
22.22%
3Y*
19.99%
5Y*
11.80%
10Y*
13.49%
ALL TIME*
8.15%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$38.53T$37.79T$41.47T

HG=F vs. ^GSPC - Yearly Performance Comparison


2026 (YTD)2025202420232022
HG=F
Copper
0.00%0.00%0.00%0.00%1.29%
^GSPC
S&P 500 Index
13.02%16.39%23.31%24.23%-13.37%

Correlation

The correlation between HG=F and ^GSPC is 0.06, meaning there was essentially no consistent relationship between their historical price movements. Each responded to its own set of market drivers.


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

0.06

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Return for Risk

HG=F vs. ^GSPC — Risk / Return Rank

Compare historical risk-adjusted metric ranks 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.


^GSPC
^GSPC Risk / Return Rank: 7474
Overall Rank
^GSPC Sharpe Ratio Rank: 7171
Sharpe Ratio Rank
^GSPC Sortino Ratio Rank: 7070
Sortino Ratio Rank
^GSPC Omega Ratio Rank: 7373
Omega Ratio Rank
^GSPC Calmar Ratio Rank: 6969
Calmar Ratio Rank
^GSPC Martin Ratio Rank: 8686
Martin Ratio Rank
The rank (0–100) uses a weighted average of the Sharpe, Sortino, Omega, Calmar, and Martin percentile ranks for the trailing 12 months. Higher means stronger historical risk-adjusted performance within the peer group.

HG=F vs. ^GSPC - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Copper (HG=F) and S&P 500 Index (^GSPC). 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=F^GSPCDifference
Sharpe ratioReturn per unit of total volatility

Sortino ratioReturn per unit of downside risk

Omega ratioGain probability vs. loss probability

1.31

Calmar ratioReturn relative to maximum drawdown

2.45

Martin ratioReturn relative to average drawdown

10.40

HG=F vs. ^GSPC - Sharpe Ratio Comparison


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Drawdowns

HG=F vs. ^GSPC - Drawdown Comparison


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Drawdown Indicators


HG=F^GSPCDifference

Max Drawdown

Largest peak-to-trough decline

-56.78%

Max Drawdown (1Y)

Largest decline over 1 year

-9.10%

Max Drawdown (3Y)

Largest decline over 3 years

-18.90%

Max Drawdown (5Y)

Largest decline over 5 years

-25.43%

Max Drawdown (10Y)

Largest decline over 10 years

-33.92%

Current Drawdown

Current decline from peak

0.00%

Average Drawdown

Average peak-to-trough decline

-10.70%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.14%

Volatility

HG=F vs. ^GSPC - Volatility Comparison


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Volatility by Period


HG=F^GSPCDifference

Volatility (1M)

Calculated over the trailing 1-month period

4.12%

Volatility (6M)

Calculated over the trailing 6-month period

10.33%

Volatility (1Y)

Calculated over the trailing 1-year period

12.95%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

17.04%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

18.09%

Frequently Asked Questions


HG=F and ^GSPC have a correlation of 0.06, 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 ^GSPC

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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