CSEX vs. SBU
CSEX (Tradr 2X Long CLS Daily ETF) and SBU (Leverage Shares 2X Long SBUX Daily ETF) are both Leveraged Equities funds. Both are actively managed. At a correlation of -0.01, they often move in opposite directions. CSEX charges 1.30%/yr vs 0.75%/yr for SBU.
Performance
CSEX vs. SBU - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, CSEX achieves a -5.28% return, which is significantly lower than SBU's 49.57% return.
CSEX
- 1D
- -8.78%
- 1M
- -26.33%
- 6M
- -14.94%
- YTD
- -5.28%
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
SBU
- 1D
- 2.36%
- 1M
- 7.43%
- 6M
- 32.11%
- YTD
- 49.57%
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
CSEX vs. SBU - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
CSEX Tradr 2X Long CLS Daily ETF | -5.28% | -16.41% |
SBU Leverage Shares 2X Long SBUX Daily ETF | 49.57% | -6.03% |
Correlation
The correlation between CSEX and SBU is -0.01, 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 Nov 17, 2025 | -0.01 |
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
CSEX vs. SBU - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Tradr 2X Long CLS Daily ETF (CSEX) and Leverage Shares 2X Long SBUX Daily ETF (SBU). 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
CSEX vs. SBU - Drawdown Comparison
The maximum CSEX drawdown since its inception was -56.45%, which is greater than SBU's maximum drawdown of -28.10%. Use the drawdown chart below to compare losses from any high point for CSEX and SBU.
Loading charts...
Drawdown Indicators
| CSEX | SBU | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -56.45% | -28.10% | -28.35% |
Current DrawdownCurrent decline from peak | -50.79% | -1.69% | -49.10% |
Average DrawdownAverage peak-to-trough decline | -29.89% | -7.35% | -22.54% |
Volatility
CSEX vs. SBU - Volatility Comparison
Loading charts...
Volatility by Period
| CSEX | SBU | Difference | |
|---|---|---|---|
Volatility (1Y)Calculated over the trailing 1-year period | 154.81% | 58.13% | +96.68% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 154.81% | 58.13% | +96.68% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 154.81% | 58.13% | +96.68% |
CSEX vs. SBU - Expense Ratio Comparison
CSEX has a 1.30% expense ratio, which is higher than SBU's 0.75% expense ratio.
Dividends
CSEX vs. SBU - Dividend Comparison
Neither CSEX nor SBU has paid dividends to shareholders.
Frequently Asked Questions
CSEX and SBU have a correlation of -0.01, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
On fees, SBU is cheaper at 0.75% per year. The better choice depends on whether you care most about return, fees, risk, or income.
SBU is cheaper with a 0.75% expense ratio, compared with 1.30% for CSEX.
CSEX and SBU have nearly identical dividend yields, around 0.00%.
They also come from different issuers: Tradr and Leverage Shares. Their fees differ too: 1.30% for CSEX and 0.75% for SBU.
Find the right allocation for CSEX and SBU
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