GGLL vs. XTL - ETF Comparison
GGLL - Direxion Daily GOOGL Bull 2X Shares
The Direxion Daily GOOGL Bull 2X Shares ETF provides 2x daily leveraged exposure to the performance of Alphabet Inc. Class A, offering investors a way to gain amplified returns in the Communication Services sector.
XTL - SPDR S&P Telecom ETF
The SPDR S&P Telecom ETF provides diversified exposure to the US telecom industry, offering a sector rotation strategy or dividend-focused investment approach. With a balanced portfolio of 40 holdings, it avoids concentration risks and offers a more attractive option for telecom exposure.
| GGLL | XTL | |
|---|---|---|
| Fund Name | Direxion Daily GOOGL Bull 2X Shares | SPDR S&P Telecom ETF |
| Fund Provider | Rafferty Asset Management | State Street |
| Index | Alphabet Inc. Class A (200%) | S&P Telecom Select Industry Index |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 1.05% | 0.35% |
| Inception Date | 2022-09-07 | 2011-01-26 |
| Number Of Holdings | 2 | 40 |
| Currency | USD | USD |
| Region | United States | United States |
| Market Cap | Large-Cap | Blend |
| Sector | Communication Services | Communication Services |
| Sector Detail | Interactive Media & Services | Telecommunications |
| Leveraged | Leveraged | Non-leveraged |
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Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
Performance Analysis
The performance analysis examines historical data to assess the returns of the investment strategy, including key metrics such as Cumulative returns, End of Year (EoY) returns, and risk-adjusted returns like the Sharpe ratio or the Sortino ratio.
Cumulative Returns
End of Year Returns Table
End of Year Returns
Risk Analysis
The risk analysis refers to an assessment of potential negative events that could lead to a loss of capital. Conducting a risk analysis can help in deciding whether an investment should be made. This is done using risk metrics such as drawdowns, volatility and beta which reflect stakeholders' confidence in the consistency of an investment strategy.
Drawdowns
Drawdowns Table
Monte Carlo Simulation
The Monte Carlo simulation is a statistical method used to forecast portfolio returns by generating a wide range of potential outcomes through random sampling from historical asset price data. It helps investors assess the potential risk and return of a portfolio under various market conditions. The simulation takes into account the initial investment and optionally simulates cash flow scenarios like fixed contributions, fixed withdrawals, or percentage withdrawals.
IMPORTANT: The forecast generated through Monte Carlo simulations is purely hypothetical and does not guarantee future returns. Investment decisions should be made with consideration of various factors, and past performance is not indicative of future results.