MAGQ vs. FNGG - ETF Comparison
MAGQ - Roundhill Daily Inverse Magnificent Seven ETF
The Roundhill Daily Inverse Magnificent Seven ETF is an actively managed fund that provides inverse exposure to the US Big Tech sector, allowing investors to potentially benefit from declines in the sector. The fund's proprietary weighting scheme and active management aim to provide a unique investment opportunity.
FNGG - Direxion Daily NYSE FANG+ Bull 2X Shares
The Direxion Daily NYSE FANG+ Bull 2X Shares ETF provides investors with daily leveraged exposure to the NYSE FANG+ Index, which tracks the performance of highly traded growth stocks in the US technology sector. The fund aims to deliver twice the daily performance of the underlying index, making it a high-risk, high-reward option for investors seeking to capitalize on the growth potential of big tech companies.
| MAGQ | FNGG | |
|---|---|---|
| Fund Name | Roundhill Daily Inverse Magnificent Seven ETF | Direxion Daily NYSE FANG+ Bull 2X Shares |
| Fund Provider | Roundhill Investments | Rafferty Asset Management |
| Index | Active (No Index) | NYSE FANG+ Index (-200%) |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.95% | 0.98% |
| Inception Date | 2024-02-29 | 2021-09-30 |
| Number Of Holdings | 3 | 12 |
| Currency | USD | USD |
| Region | United States | United States |
| Investment Style | Inverse | Growth |
| Market Cap | Large-Cap | Large-Cap |
| Sector | Technology | Technology |
| Sector Detail | Big Tech | Big Tech |
| Leveraged | Inverse | 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.