GMEU vs. VRTL
GMEU (T-Rex 2X Long GME Daily Target ETF) and VRTL (GraniteShares 2x Long VRT Daily ETF) are both Leveraged Equities funds. Both are actively managed. Over the past year, GMEU returned -68.74% vs 408.15% for VRTL. At a 0.12 correlation, their price movements are largely independent. Both charge a 1.50% expense ratio.
Performance
GMEU vs. VRTL - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, GMEU achieves a -0.34% return, which is significantly lower than VRTL's 213.68% return.
GMEU
- 1D
- 0.12%
- 1M
- -18.73%
- YTD
- -0.34%
- 6M
- -26.25%
- 1Y
- -68.74%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
VRTL
- 1D
- -5.10%
- 1M
- -13.08%
- YTD
- 213.68%
- 6M
- 137.88%
- 1Y
- 408.15%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
GMEU vs. VRTL - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
GMEU T-Rex 2X Long GME Daily Target ETF | -0.34% | -65.56% |
VRTL GraniteShares 2x Long VRT Daily ETF | 213.68% | 168.46% |
Correlation
The correlation between GMEU and VRTL is 0.11, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.11 |
Correlation (All Time) Calculated using the full available price history since Apr 30, 2025 | 0.12 |
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
GMEU vs. VRTL — Risk / Return Rank
GMEU
VRTL
GMEU vs. VRTL - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for T-Rex 2X Long GME Daily Target ETF (GMEU) and GraniteShares 2x Long VRT Daily ETF (VRTL). 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.
| GMEU | VRTL | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -4.41 | ||
| Sortino ratioReturn per unit of downside risk | -4.50 | ||
| Omega ratioGain probability vs. loss probability | 0.85 | 1.42 | -0.57 |
| Calmar ratioReturn relative to maximum drawdown | -0.95 | 8.67 | -9.62 |
| Martin ratioReturn relative to average drawdown | -1.20 | 22.06 | -23.26 |
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
| GMEU | VRTL | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | -0.81 | 3.60 | -4.41 |
Sharpe Ratio (All Time)Calculated using the full available price history | -0.70 | 3.10 | -3.79 |
Drawdowns
GMEU vs. VRTL - Drawdown Comparison
The maximum GMEU drawdown since its inception was -80.43%, which is greater than VRTL's maximum drawdown of -60.58%. Use the drawdown chart below to compare losses from any high point for GMEU and VRTL.
Loading charts...
Drawdown Indicators
| GMEU | VRTL | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -80.43% | -60.58% | -19.85% |
Max Drawdown (1Y)Largest decline over 1 year | -72.75% | -47.45% | -25.30% |
Current DrawdownCurrent decline from peak | -77.91% | -27.98% | -49.93% |
Average DrawdownAverage peak-to-trough decline | -63.24% | -15.20% | -48.04% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 57.19% | 18.62% | +38.57% |
Volatility
GMEU vs. VRTL - Volatility Comparison
The current volatility for T-Rex 2X Long GME Daily Target ETF (GMEU) is 24.54%, while GraniteShares 2x Long VRT Daily ETF (VRTL) has a volatility of 33.58%. This indicates that GMEU experiences smaller price fluctuations and is considered to be less risky than VRTL based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| GMEU | VRTL | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 24.54% | 33.58% | -9.04% |
Volatility (6M)Calculated over the trailing 6-month period | 57.61% | 87.68% | -30.07% |
Volatility (1Y)Calculated over the trailing 1-year period | 85.15% | 114.41% | -29.26% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 89.79% | 124.31% | -34.52% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 89.79% | 124.31% | -34.52% |
GMEU vs. VRTL - Expense Ratio Comparison
Both GMEU and VRTL have an expense ratio of 1.50%.
Dividends
GMEU vs. VRTL - Dividend Comparison
Neither GMEU nor VRTL has paid dividends to shareholders.
Frequently Asked Questions
GMEU and VRTL have a correlation of 0.11, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
VRTL has higher volatility (33.58%) compared to GMEU (24.54%). In terms of maximum drawdown, GMEU dropped -80.43% vs VRTL's -60.58%.
On 1-year performance, VRTL leads with 408.15% vs -68.74% for GMEU. Both ETFs have the same 1.50% expense ratio. On volatility, GMEU has been the lower-risk option at 24.54%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, VRTL has performed better with a 408.15% return vs -68.74%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
GMEU and VRTL have the same expense ratio: 1.50% per year.
GMEU and VRTL have nearly identical dividend yields, around 0.00%.
They also come from different issuers: T-Rex and GraniteShares.
VRTL currently has the higher Sharpe Ratio (3.60 vs -0.81), 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 GMEU and VRTL
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