PJUL vs. DJUL
PJUL (Innovator U.S. Equity Power Buffer ETF - July) and DJUL (FT Cboe Vest U.S. Equity Deep Buffer ETF - July) are both exchange-traded funds - PJUL is a Defined Outcome fund tracking the Cboe S&P 500 Buffer Protect Index July, while DJUL is a Options Trading fund tracking the Cboe S&P 500 30% (-5% to -35%) Buffer Protect July Series Index. Both are passively managed. Over the past 5 years, PJUL returned 10.49%/yr vs 8.95%/yr for DJUL. Their correlation of 0.91 suggests significant overlap in exposure. PJUL charges 0.79%/yr vs 0.85%/yr for DJUL.
Performance
PJUL vs. DJUL - Performance Comparison
Loading charts...
Returns By Period
The year-to-date returns for both investments are quite close, with PJUL having a 4.74% return and DJUL slightly higher at 4.86%.
PJUL
- 1D
- 0.10%
- 1M
- 1.44%
- YTD
- 4.74%
- 6M
- 5.40%
- 1Y
- 15.32%
- 3Y*
- 13.95%
- 5Y*
- 10.49%
- 10Y*
- —
DJUL
- 1D
- -0.02%
- 1M
- 1.35%
- YTD
- 4.86%
- 6M
- 5.63%
- 1Y
- 16.81%
- 3Y*
- 14.03%
- 5Y*
- 8.95%
- 10Y*
- —
PJUL vs. DJUL - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | |
|---|---|---|---|---|---|---|---|
PJUL Innovator U.S. Equity Power Buffer ETF - July | 4.74% | 12.78% | 13.76% | 19.87% | -2.08% | 7.20% | 5.08% |
DJUL FT Cboe Vest U.S. Equity Deep Buffer ETF - July | 4.86% | 13.31% | 15.02% | 18.08% | -8.28% | 6.18% | 4.51% |
Correlation
The correlation between PJUL and DJUL is 0.92, 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 | 0.92 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.93 |
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 | 0.91 |
The correlation between PJUL and DJUL has been stable across timeframes, ranging from 0.91 to 0.93 - a consistent structural relationship.
PJUL vs. DJUL - Sectors Allocation Comparison
Sectors
PJUL
DJUL
Technology
Financial Services
Communication Services
Consumer Cyclical
Healthcare
Industrials
Consumer Defensive
Energy
Utilities
Real Estate
Basic Materials
Technology
PJUL
DJUL
Financial Services
PJUL
DJUL
Communication Services
PJUL
DJUL
Consumer Cyclical
PJUL
DJUL
Healthcare
PJUL
DJUL
Industrials
PJUL
DJUL
Consumer Defensive
PJUL
DJUL
Energy
PJUL
DJUL
Utilities
PJUL
DJUL
Real Estate
PJUL
DJUL
Basic Materials
PJUL
DJUL
Compare stocks, funds, or ETFs
Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.
Return for Risk
PJUL vs. DJUL — Risk / Return Rank
PJUL
DJUL
PJUL vs. DJUL - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Innovator U.S. Equity Power Buffer ETF - July (PJUL) and FT Cboe Vest U.S. Equity Deep Buffer ETF - July (DJUL). 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.
| PJUL | DJUL | Difference | |
|---|---|---|---|
Sharpe ratioReturn per unit of total volatility | 2.73 | 2.99 | -0.26 |
Sortino ratioReturn per unit of downside risk | 4.12 | 4.53 | -0.40 |
Omega ratioGain probability vs. loss probability | 1.59 | 1.64 | -0.05 |
Calmar ratioReturn relative to maximum drawdown | 4.22 | 4.01 | +0.22 |
Martin ratioReturn relative to average drawdown | 23.24 | 21.68 | +1.56 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
Loading charts...
Sharpe Ratios by Period
| PJUL | DJUL | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 2.73 | 2.99 | -0.26 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | 1.23 | 1.07 | +0.15 |
Sharpe Ratio (All Time)Calculated using the full available price history | 0.90 | 1.11 | -0.22 |
Drawdowns
PJUL vs. DJUL - Drawdown Comparison
The maximum PJUL drawdown since its inception was -18.17%, which is greater than DJUL's maximum drawdown of -12.54%. Use the drawdown chart below to compare losses from any high point for PJUL and DJUL.
Loading charts...
Drawdown Indicators
| PJUL | DJUL | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -18.17% | -12.54% | -5.63% |
Max Drawdown (1Y)Largest decline over 1 year | -3.64% | -4.25% | +0.61% |
Max Drawdown (3Y)Largest decline over 3 years | -10.69% | -11.29% | +0.60% |
Max Drawdown (5Y)Largest decline over 5 years | -10.69% | -12.54% | +1.85% |
Current DrawdownCurrent decline from peak | 0.00% | -0.02% | +0.02% |
Average DrawdownAverage peak-to-trough decline | -1.47% | -2.00% | +0.53% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 0.66% | 0.79% | -0.13% |
Volatility
PJUL vs. DJUL - Volatility Comparison
The current volatility for Innovator U.S. Equity Power Buffer ETF - July (PJUL) is 0.42%, while FT Cboe Vest U.S. Equity Deep Buffer ETF - July (DJUL) has a volatility of 0.64%. This indicates that PJUL experiences smaller price fluctuations and is considered to be less risky than DJUL based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| PJUL | DJUL | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 0.42% | 0.64% | -0.22% |
Volatility (6M)Calculated over the trailing 6-month period | 3.89% | 4.16% | -0.27% |
Volatility (1Y)Calculated over the trailing 1-year period | 5.66% | 5.65% | +0.01% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 8.60% | 8.39% | +0.21% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 10.03% | 7.94% | +2.09% |
PJUL vs. DJUL - Expense Ratio Comparison
PJUL has a 0.79% expense ratio, which is lower than DJUL's 0.85% expense ratio.
Dividends
PJUL vs. DJUL - Dividend Comparison
Neither PJUL nor DJUL has paid dividends to shareholders.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 |
|---|---|---|---|---|---|---|---|---|
DJUL FT Cboe Vest U.S. Equity Deep Buffer ETF - July | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
PJUL Innovator U.S. Equity Power Buffer ETF - July | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.82% |
Frequently Asked Questions
With a correlation of 0.92, PJUL and DJUL 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.
DJUL has higher volatility (0.64%) compared to PJUL (0.42%). In terms of maximum drawdown, PJUL dropped -18.17% vs DJUL's -12.54%.
On 5-year performance, PJUL leads with 10.49% vs 8.95% for DJUL. On fees, PJUL is cheaper at 0.79% per year. On volatility, PJUL has been the lower-risk option at 0.42%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 5-year period, PJUL has performed better with a 10.49% return vs 8.95%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
PJUL is cheaper with a 0.79% expense ratio, compared with 0.85% for DJUL.
PJUL and DJUL have nearly identical dividend yields, around 0.00%.
PJUL is categorized as Defined Outcome, while DJUL is Options Trading. PJUL tracks Cboe S&P 500 Buffer Protect Index July, while DJUL tracks Cboe S&P 500 30% (-5% to -35%) Buffer Protect July Series Index. They also come from different issuers: Innovator and FT Vest. Their fees differ too: 0.79% for PJUL and 0.85% for DJUL.
DJUL currently has the higher Sharpe Ratio (2.99 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.
Find the right allocation for PJUL and DJUL
Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio Optimizer