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DJUL vs. FFEB
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

DJUL vs. FFEB - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in FT Cboe Vest U.S. Equity Deep Buffer ETF - July (DJUL) and FT Vest U.S. Equity Buffer ETF - February (FFEB). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, DJUL achieves a 4.89% return, which is significantly lower than FFEB's 7.65% return.


DJUL

1D
0.04%
1M
1.61%
YTD
4.89%
6M
5.60%
1Y
16.12%
3Y*
14.05%
5Y*
8.92%
10Y*

FFEB

1D
-0.30%
1M
2.45%
YTD
7.65%
6M
8.55%
1Y
19.32%
3Y*
16.35%
5Y*
11.09%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

DJUL vs. FFEB - Yearly Performance Comparison


2026 (YTD)202520242023202220212020
DJUL
FT Cboe Vest U.S. Equity Deep Buffer ETF - July
4.89%13.31%15.02%18.08%-8.28%6.18%4.51%
FFEB
FT Vest U.S. Equity Buffer ETF - February
7.65%13.76%16.64%19.95%-7.51%16.26%9.08%

Correlation

The correlation between DJUL and FFEB is 0.93, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.


Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.93

Correlation (3Y)
Calculated over the trailing 3-year period

0.92

Correlation (5Y)
Calculated over the trailing 5-year period

0.92

Correlation (All Time)
Calculated using the full available price history since Jul 21, 2020

0.90

The correlation between DJUL and FFEB has been stable across timeframes, ranging from 0.90 to 0.93 - a consistent structural relationship.

DJUL vs. FFEB - Sectors Allocation Comparison


Sectors
DJUL
FFEB

Technology

36.2%
36.2%

Financial Services

11.9%
11.9%

Communication Services

10.9%
10.9%

Consumer Cyclical

10.1%
10.1%

Healthcare

8.4%
8.4%

Industrials

8.1%
8.1%

Consumer Defensive

4.9%
4.9%

Energy

3.5%
3.5%

Utilities

2.3%
2.3%

Real Estate

1.9%
1.9%

Basic Materials

1.8%
1.8%

Technology

DJUL
36.2%
FFEB
36.2%

Financial Services

DJUL
11.9%
FFEB
11.9%

Communication Services

DJUL
10.9%
FFEB
10.9%

Consumer Cyclical

DJUL
10.1%
FFEB
10.1%

Healthcare

DJUL
8.4%
FFEB
8.4%

Industrials

DJUL
8.1%
FFEB
8.1%

Consumer Defensive

DJUL
4.9%
FFEB
4.9%

Energy

DJUL
3.5%
FFEB
3.5%

Utilities

DJUL
2.3%
FFEB
2.3%

Real Estate

DJUL
1.9%
FFEB
1.9%

Basic Materials

DJUL
1.8%
FFEB
1.8%

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Return for Risk

DJUL vs. FFEB — Risk / Return Rank

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

DJUL
DJUL Risk / Return Rank: 8787
Overall Rank
DJUL Sharpe Ratio Rank: 8787
Sharpe Ratio Rank
DJUL Sortino Ratio Rank: 9292
Sortino Ratio Rank
DJUL Omega Ratio Rank: 9292
Omega Ratio Rank
DJUL Calmar Ratio Rank: 7676
Calmar Ratio Rank
DJUL Martin Ratio Rank: 9090
Martin Ratio Rank

FFEB
FFEB Risk / Return Rank: 8282
Overall Rank
FFEB Sharpe Ratio Rank: 8383
Sharpe Ratio Rank
FFEB Sortino Ratio Rank: 8787
Sortino Ratio Rank
FFEB Omega Ratio Rank: 8888
Omega Ratio Rank
FFEB Calmar Ratio Rank: 6868
Calmar Ratio Rank
FFEB Martin Ratio Rank: 8686
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.

DJUL vs. FFEB - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for FT Cboe Vest U.S. Equity Deep Buffer ETF - July (DJUL) and FT Vest U.S. Equity Buffer ETF - February (FFEB). 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.


DJULFFEBDifference
Sharpe ratioReturn per unit of total volatility

+0.16

Sortino ratioReturn per unit of downside risk

+0.42

Omega ratioGain probability vs. loss probability

1.61

1.55

+0.06

Calmar ratioReturn relative to maximum drawdown

3.81

3.39

+0.42

Martin ratioReturn relative to average drawdown

20.56

18.01

+2.55

DJUL vs. FFEB - Sharpe Ratio Comparison

The current DJUL Sharpe Ratio is 2.88, which is comparable to the FFEB Sharpe Ratio of 2.73. The chart below compares the historical Sharpe Ratios of DJUL and FFEB, 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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Sharpe Ratios by Period


DJULFFEBDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

2.88

2.73

+0.16

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

1.07

1.03

+0.04

Sharpe Ratio (All Time)

Calculated using the full available price history

1.12

0.87

+0.25

Drawdowns

DJUL vs. FFEB - Drawdown Comparison

The maximum DJUL drawdown since its inception was -12.54%, smaller than the maximum FFEB drawdown of -22.81%. Use the drawdown chart below to compare losses from any high point for DJUL and FFEB.


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Drawdown Indicators


DJULFFEBDifference

Max Drawdown

Largest peak-to-trough decline

-12.54%

-22.81%

+10.27%

Max Drawdown (1Y)

Largest decline over 1 year

-4.25%

-5.73%

+1.48%

Max Drawdown (3Y)

Largest decline over 3 years

-11.29%

-11.89%

+0.60%

Max Drawdown (5Y)

Largest decline over 5 years

-12.54%

-13.85%

+1.31%

Current Drawdown

Current decline from peak

0.00%

-0.30%

+0.30%

Average Drawdown

Average peak-to-trough decline

-1.99%

-2.40%

+0.41%

Ulcer Index

Depth and duration of drawdowns from previous peaks

0.79%

1.08%

-0.29%

Volatility

DJUL vs. FFEB - Volatility Comparison

The current volatility for FT Cboe Vest U.S. Equity Deep Buffer ETF - July (DJUL) is 0.57%, while FT Vest U.S. Equity Buffer ETF - February (FFEB) has a volatility of 1.24%. This indicates that DJUL experiences smaller price fluctuations and is considered to be less risky than FFEB based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


DJULFFEBDifference

Volatility (1M)

Calculated over the trailing 1-month period

0.57%

1.24%

-0.67%

Volatility (6M)

Calculated over the trailing 6-month period

4.16%

5.56%

-1.40%

Volatility (1Y)

Calculated over the trailing 1-year period

5.64%

7.12%

-1.48%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

8.39%

10.81%

-2.42%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

7.94%

13.75%

-5.81%

DJUL vs. FFEB - Expense Ratio Comparison

Both DJUL and FFEB have an expense ratio of 0.85%.


Dividends

DJUL vs. FFEB - Dividend Comparison

Neither DJUL nor FFEB has paid dividends to shareholders.


Tickers have no history of dividend payments

Frequently Asked Questions


With a correlation of 0.93, DJUL and FFEB move almost identically. Holding both adds very little diversification - you're essentially doubling your position in the same market segment. Choosing one is usually more capital-efficient.

FFEB has higher volatility (1.24%) compared to DJUL (0.57%). In terms of maximum drawdown, DJUL dropped -12.54% vs FFEB's -22.81%.

On 5-year performance, FFEB leads with 11.09% vs 8.92% for DJUL. Both ETFs have the same 0.85% expense ratio. On volatility, DJUL has been the lower-risk option at 0.57%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 5-year period, FFEB has performed better with a 11.09% return vs 8.92%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

DJUL and FFEB have the same expense ratio: 0.85% per year.

DJUL and FFEB have nearly identical dividend yields, around 0.00%.

DJUL is categorized as Options Trading, while FFEB is Defined Outcome.

DJUL currently has the higher Sharpe Ratio (2.88 vs 2.73), 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

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