TSLW vs. GOOW
TSLW (Roundhill TSLA WeeklyPay™ ETF) and GOOW (Roundhill GOOGL WeeklyPay™ ETF) are both Derivative Income funds from Roundhill. Both are actively managed. Over the past year, TSLW returned -3.40% vs 103.29% for GOOW. Their 0.38 correlation means their historical movements had little consistent relationship. Both charge a 0.99% expense ratio.
Performance
TSLW vs. GOOW - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, TSLW achieves a -38.16% return, which is significantly lower than GOOW's 13.56% return.
TSLW
- 1D
- 1.15%
- 1M
- -25.15%
- 6M
- -34.54%
- YTD
- -38.16%
- 1Y
- -3.40%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
- ALL TIME*
- -14.25%
GOOW
- 1D
- 7.98%
- 1M
- -1.82%
- 6M
- 3.91%
- YTD
- 13.56%
- 1Y
- 103.29%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
- ALL TIME*
- 92.03%
Liquidity Comparison
| Position | Avg. Volume Value (2W) | Avg. Volume Value (1M) | Avg. Volume Value (3M) |
|---|---|---|---|
| $1.99M | $1.77M | $2.25M | |
| $2.02M | $1.80M | $2.69M |
TSLW vs. GOOW - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
TSLW Roundhill TSLA WeeklyPay™ ETF | -38.16% | 39.30% |
GOOW Roundhill GOOGL WeeklyPay™ ETF | 13.56% | 71.16% |
Correlation
The correlation between TSLW and GOOW is 0.37, which is low. Their historical price movements had little consistent relationship.
| Correlation | |
|---|---|
Correlation (1Y) Focuses on recent behavior, but can change the most. | 0.37 |
Correlation (All Time) Calculated using the full available price history since Jul 24, 2025 | 0.38 |
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
TSLW vs. GOOW — Risk / Return Rank
TSLW
GOOW
TSLW vs. GOOW - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Roundhill TSLA WeeklyPay™ ETF (TSLW) and Roundhill GOOGL WeeklyPay™ ETF (GOOW). 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.
| TSLW | GOOW | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -2.64 | ||
| Sortino ratioReturn per unit of downside risk | -3.18 | ||
| Omega ratioGain probability vs. loss probability | 1.03 | 1.42 | -0.39 |
| Calmar ratioReturn relative to maximum drawdown | -0.12 | 3.95 | -4.07 |
| Martin ratioReturn relative to average drawdown | -0.29 | 10.85 | -11.15 |
Loading charts...
Drawdowns
TSLW vs. GOOW - Drawdown Comparison
The maximum TSLW drawdown since its inception was -47.19%, which is greater than GOOW's maximum drawdown of -25.44%. Use the drawdown chart below to compare losses from any high point for TSLW and GOOW.
Loading charts...
Drawdown Indicators
| TSLW | GOOW | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -47.19% | -25.44% | -21.75% |
Max Drawdown (1Y)Largest decline over 1 year | -47.19% | -25.44% | -21.75% |
Current DrawdownCurrent decline from peak | -44.27% | -14.60% | -29.67% |
Average DrawdownAverage peak-to-trough decline | -14.92% | -6.41% | -8.51% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 19.01% | 9.24% | +9.77% |
Volatility
TSLW vs. GOOW - Volatility Comparison
Roundhill TSLA WeeklyPay™ ETF (TSLW) has a higher volatility of 24.91% compared to Roundhill GOOGL WeeklyPay™ ETF (GOOW) at 15.50%. This indicates that TSLW's price experiences larger fluctuations and is considered to be riskier than GOOW based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| TSLW | GOOW | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 24.91% | 15.50% | +9.41% |
Volatility (6M)Calculated over the trailing 6-month period | 41.72% | 30.46% | +11.26% |
Volatility (1Y)Calculated over the trailing 1-year period | 55.54% | 39.64% | +15.90% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 58.84% | 39.39% | +19.45% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 58.84% | 39.39% | +19.45% |
TSLW vs. GOOW - Expense Ratio Comparison
Both TSLW and GOOW have an expense ratio of 0.99%.
Dividends
TSLW vs. GOOW - Dividend Comparison
TSLW's dividend yield for the trailing twelve months is around 121.20%, more than GOOW's 42.80% yield.
| Position | TTM | 2025 |
|---|---|---|
GOOW Roundhill GOOGL WeeklyPay™ ETF | 42.80% | 19.77% |
TSLW Roundhill TSLA WeeklyPay™ ETF | 121.20% | 49.31% |
Frequently Asked Questions
TSLW and GOOW have a correlation of 0.37, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
TSLW has higher volatility (24.91%) compared to GOOW (15.50%). In terms of maximum drawdown, TSLW dropped -47.19% vs GOOW's -25.44%.
On 1-year performance, GOOW leads with 103.29% vs -3.40% for TSLW. Both ETFs have the same 0.99% expense ratio. On volatility, GOOW has been the lower-risk option at 15.50%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, GOOW has performed better with a 103.29% return vs -3.40%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
TSLW and GOOW have the same expense ratio: 0.99% per year.
TSLW has the higher dividend yield at 121.20%, compared with 42.80% for GOOW.
GOOW currently has the higher Sharpe Ratio (2.54 vs -0.10), 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 TSLW and GOOW
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