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GC=F vs. VTI
Performance
Return for Risk
Drawdowns
Volatility

Performance

GC=F vs. VTI - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Gold Futures (GC=F) and Vanguard Total Stock Market ETF (VTI). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period


GC=F

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

VTI

1D
1.68%
1M
2.70%
YTD
11.46%
6M
11.76%
1Y
28.40%
3Y*
20.94%
5Y*
12.71%
10Y*
15.23%
*Multi-year figures are annualized to reflect compound growth (CAGR)

GC=F vs. VTI - Yearly Performance Comparison


2026 (YTD)2025202420232022
GC=F
Gold Futures
0.00%0.00%0.00%0.00%5.84%
VTI
Vanguard Total Stock Market ETF
11.46%17.10%23.81%26.05%-12.51%

Correlation

The correlation between GC=F and VTI 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

GC=F vs. VTI — Risk / Return Rank

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

GC=F

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


VTI
VTI Risk / Return Rank: 7777
Overall Rank
VTI Sharpe Ratio Rank: 7979
Sharpe Ratio Rank
VTI Sortino Ratio Rank: 7777
Sortino Ratio Rank
VTI Omega Ratio Rank: 7878
Omega Ratio Rank
VTI Calmar Ratio Rank: 7070
Calmar Ratio Rank
VTI Martin Ratio Rank: 8181
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.

GC=F vs. VTI - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Gold Futures (GC=F) and Vanguard Total Stock Market ETF (VTI). 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.


GC=FVTIDifference
Sharpe ratioReturn per unit of total volatility

Sortino ratioReturn per unit of downside risk

Omega ratioGain probability vs. loss probability

1.41

Calmar ratioReturn relative to maximum drawdown

3.20

Martin ratioReturn relative to average drawdown

14.35

GC=F vs. VTI - Sharpe Ratio Comparison


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Drawdowns

GC=F vs. VTI - Drawdown Comparison


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Drawdown Indicators


GC=FVTIDifference

Max Drawdown

Largest peak-to-trough decline

-55.45%

Max Drawdown (1Y)

Largest decline over 1 year

-8.92%

Max Drawdown (3Y)

Largest decline over 3 years

-19.30%

Max Drawdown (5Y)

Largest decline over 5 years

-25.36%

Max Drawdown (10Y)

Largest decline over 10 years

-35.00%

Current Drawdown

Current decline from peak

-0.49%

Average Drawdown

Average peak-to-trough decline

-8.02%

Ulcer Index

Depth and duration of drawdowns from previous peaks

1.98%

Volatility

GC=F vs. VTI - Volatility Comparison


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Volatility by Period


GC=FVTIDifference

Volatility (1M)

Calculated over the trailing 1-month period

4.74%

Volatility (6M)

Calculated over the trailing 6-month period

9.94%

Volatility (1Y)

Calculated over the trailing 1-year period

12.69%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

17.49%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

18.34%

Frequently Asked Questions


GC=F and VTI 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 GC=F and VTI

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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