QQQI vs. FBY - ETF Comparison
QQQI - NEOS Nasdaq 100 High Income ETF
The NEOS Nasdaq 100 High Income ETF is an actively managed equity fund that invests in large-cap companies listed on the Nasdaq 100 index, aiming to provide high income to investors.
FBY - YieldMax META Option Income Strategy ETF
The YieldMax META Option Income Strategy ETF is an actively managed equity fund that focuses on the Communication Services sector, specifically Interactive Media & Services, in the United States. It employs a buy-write strategy, investing in large-cap companies and aiming to generate income through option premiums.
| QQQI | FBY | |
|---|---|---|
| Fund Name | NEOS Nasdaq 100 High Income ETF | YieldMax META Option Income Strategy ETF |
| Fund Provider | Neos Investments LLC | Tidal Investments LLC |
| Index | Active (No Index) | Active (No Index) |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.68% | 0.99% |
| Inception Date | 2024-01-30 | 2023-07-27 |
| Number Of Holdings | 105 | 7 |
| Currency | USD | USD |
| Region | United States | United States |
| Investment Style | Income | Income |
| Market Cap | Large-Cap | Large-Cap |
| Sector | Technology | Communication Services |
| Sector Detail | Software | Interactive Media & Services |
| Leveraged | Non-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.