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SI=F vs. NFLX
Performance
Return for Risk
Drawdowns
Volatility

Performance

SI=F vs. NFLX - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Silver Futures (SI=F) and Netflix, Inc. (NFLX). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period


SI=F

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

NFLX

1D
-1.14%
1M
-7.59%
YTD
-14.31%
6M
-15.60%
1Y
-33.72%
3Y*
22.62%
5Y*
10.45%
10Y*
23.92%
*Multi-year figures are annualized to reflect compound growth (CAGR)

SI=F vs. NFLX - Yearly Performance Comparison


2026 (YTD)2025202420232022
SI=F
Silver Futures
0.00%0.00%0.00%0.00%1.09%
NFLX
Netflix, Inc.
-14.31%5.19%83.07%65.11%-23.28%

Correlation

The correlation between SI=F and NFLX is -0.03, 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

-0.03

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Return for Risk

SI=F vs. NFLX — Risk / Return Rank

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

SI=F

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


NFLX
NFLX Risk / Return Rank: 88
Overall Rank
NFLX Sharpe Ratio Rank: 55
Sharpe Ratio Rank
NFLX Sortino Ratio Rank: 77
Sortino Ratio Rank
NFLX Omega Ratio Rank: 77
Omega Ratio Rank
NFLX Calmar Ratio Rank: 1313
Calmar Ratio Rank
NFLX 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.

SI=F vs. NFLX - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Silver Futures (SI=F) and Netflix, Inc. (NFLX). 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.


SI=FNFLXDifference
Sharpe ratioReturn per unit of total volatility

Sortino ratioReturn per unit of downside risk

Omega ratioGain probability vs. loss probability

0.81

Calmar ratioReturn relative to maximum drawdown

-0.78

Martin ratioReturn relative to average drawdown

-1.35

SI=F vs. NFLX - Sharpe Ratio Comparison


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Drawdowns

SI=F vs. NFLX - Drawdown Comparison


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Drawdown Indicators


SI=FNFLXDifference

Max Drawdown

Largest peak-to-trough decline

-81.99%

Max Drawdown (1Y)

Largest decline over 1 year

-43.35%

Max Drawdown (3Y)

Largest decline over 3 years

-43.35%

Max Drawdown (5Y)

Largest decline over 5 years

-75.95%

Max Drawdown (10Y)

Largest decline over 10 years

-75.95%

Current Drawdown

Current decline from peak

-40.01%

Average Drawdown

Average peak-to-trough decline

-24.91%

Ulcer Index

Depth and duration of drawdowns from previous peaks

25.19%

Volatility

SI=F vs. NFLX - Volatility Comparison


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Volatility by Period


SI=FNFLXDifference

Volatility (1M)

Calculated over the trailing 1-month period

5.85%

Volatility (6M)

Calculated over the trailing 6-month period

24.58%

Volatility (1Y)

Calculated over the trailing 1-year period

33.05%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

43.09%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

41.49%

Frequently Asked Questions


SI=F and NFLX have a correlation of -0.03, 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 SI=F and NFLX

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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