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FFUT vs. ETH-USD
Performance
Return for Risk
Drawdowns
Volatility

Performance

FFUT vs. ETH-USD - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Fidelity Managed Futures ETF (FFUT) and Ethereum (ETH-USD). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, FFUT achieves a 8.83% return, which is significantly higher than ETH-USD's -43.74% return.


FFUT

1D
-0.36%
1M
-2.69%
YTD
8.83%
6M
9.28%
1Y
18.72%
3Y*
5Y*
10Y*

ETH-USD

1D
-3.30%
1M
-20.41%
YTD
-43.74%
6M
-43.66%
1Y
-30.82%
3Y*
-3.82%
5Y*
-3.44%
10Y*
60.88%
*Multi-year figures are annualized to reflect compound growth (CAGR)

FFUT vs. ETH-USD - Yearly Performance Comparison


2026 (YTD)2025
FFUT
Fidelity Managed Futures ETF
8.83%8.58%
ETH-USD
Ethereum
-43.74%13.71%

Correlation

The correlation between FFUT and ETH-USD 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 (1Y)
Calculated over the trailing 1-year period

0.05

Correlation (All Time)
Calculated using the full available price history since Jun 5, 2025

0.05

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Return for Risk

FFUT vs. ETH-USD — Risk / Return Rank

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

FFUT
FFUT Risk / Return Rank: 6464
Overall Rank
FFUT Sharpe Ratio Rank: 5151
Sharpe Ratio Rank
FFUT Sortino Ratio Rank: 5151
Sortino Ratio Rank
FFUT Omega Ratio Rank: 5454
Omega Ratio Rank
FFUT Calmar Ratio Rank: 8484
Calmar Ratio Rank
FFUT Martin Ratio Rank: 7979
Martin Ratio Rank

ETH-USD
ETH-USD Risk / Return Rank: 6666
Overall Rank
ETH-USD Sharpe Ratio Rank: 6363
Sharpe Ratio Rank
ETH-USD Sortino Ratio Rank: 6363
Sortino Ratio Rank
ETH-USD Omega Ratio Rank: 6363
Omega Ratio Rank
ETH-USD Calmar Ratio Rank: 7171
Calmar Ratio Rank
ETH-USD Martin Ratio Rank: 6969
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.

FFUT vs. ETH-USD - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Fidelity Managed Futures ETF (FFUT) and Ethereum (ETH-USD). 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.


FFUTETH-USDDifference
Sharpe ratioReturn per unit of total volatility

+2.14

Sortino ratioReturn per unit of downside risk

+2.70

Omega ratioGain probability vs. loss probability

1.32

0.97

+0.35

Calmar ratioReturn relative to maximum drawdown

4.35

-0.46

+4.80

Martin ratioReturn relative to average drawdown

14.55

-0.76

+15.31

FFUT vs. ETH-USD - Sharpe Ratio Comparison

The current FFUT Sharpe Ratio is 1.68, which is higher than the ETH-USD Sharpe Ratio of -0.46. The chart below compares the historical Sharpe Ratios of FFUT and ETH-USD, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


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Drawdowns

FFUT vs. ETH-USD - Drawdown Comparison

The maximum FFUT drawdown since its inception was -4.33%, smaller than the maximum ETH-USD drawdown of -94.01%. Use the drawdown chart below to compare losses from any high point for FFUT and ETH-USD.


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Drawdown Indicators


FFUTETH-USDDifference

Max Drawdown

Largest peak-to-trough decline

-4.33%

-94.01%

+89.68%

Max Drawdown (1Y)

Largest decline over 1 year

-4.33%

-67.53%

+63.20%

Max Drawdown (3Y)

Largest decline over 3 years

-67.53%

Max Drawdown (5Y)

Largest decline over 5 years

-79.35%

Max Drawdown (10Y)

Largest decline over 10 years

-94.01%

Current Drawdown

Current decline from peak

-4.33%

-65.45%

+61.12%

Average Drawdown

Average peak-to-trough decline

-0.96%

-50.93%

+49.97%

Ulcer Index

Depth and duration of drawdowns from previous peaks

1.29%

41.14%

-39.85%

Volatility

FFUT vs. ETH-USD - Volatility Comparison

The current volatility for Fidelity Managed Futures ETF (FFUT) is 2.93%, while Ethereum (ETH-USD) has a volatility of 18.13%. This indicates that FFUT experiences smaller price fluctuations and is considered to be less risky than ETH-USD based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


FFUTETH-USDDifference

Volatility (1M)

Calculated over the trailing 1-month period

2.93%

18.13%

-15.20%

Volatility (6M)

Calculated over the trailing 6-month period

8.97%

46.20%

-37.23%

Volatility (1Y)

Calculated over the trailing 1-year period

11.22%

56.03%

-44.81%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

11.02%

59.16%

-48.14%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

11.02%

77.04%

-66.02%

Frequently Asked Questions


FFUT and ETH-USD 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.

ETH-USD has higher volatility (18.13%) compared to FFUT (2.93%). In terms of maximum drawdown, FFUT dropped -4.33% vs ETH-USD's -94.01%.

FFUT currently has the higher Sharpe Ratio (1.68 vs -0.46), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.

Portfolio Optimizer

Find the right allocation for FFUT and ETH-USD

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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