JULB vs. OCTB
JULB (Aptus July Buffer ETF) and OCTB (Aptus October Buffer ETF) are both Defined Outcome funds from Aptus. Both are actively managed. Their 0.96 correlation means they have historically moved very closely together. Both charge a 0.25% expense ratio.
Performance
JULB vs. OCTB - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, JULB achieves a 9.75% return, which is significantly higher than OCTB's 8.32% return.
JULB
- 1D
- 0.89%
- 1M
- 2.13%
- 6M
- 8.93%
- YTD
- 9.75%
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
- ALL TIME*
- —
OCTB
- 1D
- 0.53%
- 1M
- 1.84%
- 6M
- 7.69%
- YTD
- 8.32%
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
- ALL TIME*
- —
Liquidity Comparison
| Position | Avg. Volume Value (2W) | Avg. Volume Value (1M) | Avg. Volume Value (3M) |
|---|---|---|---|
| $150.89K | $164.82K | $229.85K | |
| $307.48K | $192.02K | $108.63K |
JULB vs. OCTB - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
JULB Aptus July Buffer ETF | 9.75% | 2.44% |
OCTB Aptus October Buffer ETF | 8.32% | 2.37% |
Correlation
The correlation between JULB and OCTB is 0.96 - they have historically moved very closely together. At this level, their price movements offset little of one another.
| Correlation | |
|---|---|
Correlation (All Time) Calculated using the full available price history since Oct 14, 2025 | 0.96 |
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
JULB vs. OCTB - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Aptus July Buffer ETF (JULB) and Aptus October Buffer ETF (OCTB). 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.
Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.
Loading charts...
Drawdowns
JULB vs. OCTB - Drawdown Comparison
The maximum JULB drawdown since its inception was -5.24%, which is greater than OCTB's maximum drawdown of -4.79%. Use the drawdown chart below to compare losses from any high point for JULB and OCTB.
Loading charts...
Drawdown Indicators
| JULB | OCTB | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -5.24% | -4.79% | -0.45% |
Current DrawdownCurrent decline from peak | 0.00% | 0.00% | 0.00% |
Average DrawdownAverage peak-to-trough decline | -0.77% | -0.65% | -0.12% |
Volatility
JULB vs. OCTB - Volatility Comparison
Loading charts...
Volatility by Period
| JULB | OCTB | Difference | |
|---|---|---|---|
Volatility (1Y)Calculated over the trailing 1-year period | 6.88% | 7.15% | -0.27% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 6.88% | 7.15% | -0.27% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 6.88% | 7.15% | -0.27% |
JULB vs. OCTB - Expense Ratio Comparison
Both JULB and OCTB have an expense ratio of 0.25%, making them cost-effective options compared to the broader market, where average expense ratios typically range from 0.3% to 0.9%.
Dividends
JULB vs. OCTB - Dividend Comparison
Neither JULB nor OCTB has paid dividends to shareholders.
Frequently Asked Questions
With a correlation of 0.96, JULB and OCTB 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.
Both ETFs have the same 0.25% expense ratio. The better choice depends on whether you care most about return, fees, risk, or income.
JULB and OCTB have the same expense ratio: 0.25% per year.
JULB and OCTB have nearly identical dividend yields, around 0.00%.
Find the right allocation for JULB and OCTB
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