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

Performance

GC=F vs. MSFT - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Gold Futures (GC=F) and Microsoft Corporation (MSFT). 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*

MSFT

1D
0.10%
1M
-4.36%
YTD
-18.85%
6M
-17.98%
1Y
-17.07%
3Y*
6.16%
5Y*
9.56%
10Y*
24.39%
*Multi-year figures are annualized to reflect compound growth (CAGR)

GC=F vs. MSFT - Yearly Performance Comparison


2026 (YTD)2025202420232022
GC=F
Gold Futures
0.00%0.00%0.00%0.00%5.84%
MSFT
Microsoft Corporation
-18.85%15.58%12.93%58.19%-21.47%

Correlation

The correlation between GC=F and MSFT 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. MSFT — 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.


MSFT
MSFT Risk / Return Rank: 1717
Overall Rank
MSFT Sharpe Ratio Rank: 1313
Sharpe Ratio Rank
MSFT Sortino Ratio Rank: 1515
Sortino Ratio Rank
MSFT Omega Ratio Rank: 1414
Omega Ratio Rank
MSFT Calmar Ratio Rank: 2424
Calmar Ratio Rank
MSFT Martin Ratio Rank: 2020
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. MSFT - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Gold Futures (GC=F) and Microsoft Corporation (MSFT). 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=FMSFTDifference
Sharpe ratioReturn per unit of total volatility

Sortino ratioReturn per unit of downside risk

Omega ratioGain probability vs. loss probability

0.89

Calmar ratioReturn relative to maximum drawdown

-0.53

Martin ratioReturn relative to average drawdown

-1.08

GC=F vs. MSFT - Sharpe Ratio Comparison


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Drawdowns

GC=F vs. MSFT - Drawdown Comparison


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Drawdown Indicators


GC=FMSFTDifference

Max Drawdown

Largest peak-to-trough decline

-69.38%

Max Drawdown (1Y)

Largest decline over 1 year

-33.91%

Max Drawdown (3Y)

Largest decline over 3 years

-33.91%

Max Drawdown (5Y)

Largest decline over 5 years

-37.15%

Max Drawdown (10Y)

Largest decline over 10 years

-37.15%

Current Drawdown

Current decline from peak

-27.46%

Average Drawdown

Average peak-to-trough decline

-21.78%

Ulcer Index

Depth and duration of drawdowns from previous peaks

16.48%

Volatility

GC=F vs. MSFT - Volatility Comparison


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Volatility by Period


GC=FMSFTDifference

Volatility (1M)

Calculated over the trailing 1-month period

10.52%

Volatility (6M)

Calculated over the trailing 6-month period

22.31%

Volatility (1Y)

Calculated over the trailing 1-year period

25.42%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

26.66%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

27.06%

Frequently Asked Questions


GC=F and MSFT 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 MSFT

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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