PortfolioMetrics

FNGO vs. QQQE - ETF Comparison

FNGO - MicroSectors FANG+ Index 2X Leveraged ETNs

The MicroSectors FANG+ Index 2X Leveraged ETNs tracks the NYSE FANG+ Index, providing 2x leveraged exposure to a basket of large-cap US technology and consumer discretionary stocks. The fund is designed for investors seeking aggressive growth and willing to take on higher risk.

QQQE - Direxion NASDAQ-100 Equal Weighted Index Shares

The Direxion NASDAQ-100 Equal Weighted Index Shares ETF offers a unique approach to tracking the NASDAQ-100 Index, with an equal weighting scheme that provides a more balanced portfolio compared to traditional market-capitalization weighted ETFs. This fund provides exposure to a diversified portfolio of large-cap US equities, with a significant tilt towards the technology sector.

FNGOQQQE
Fund NameMicroSectors FANG+ Index 2X Leveraged ETNsDirexion NASDAQ-100 Equal Weighted Index Shares
Fund ProviderBMO Financial GroupRafferty Asset Management
IndexNYSE FANG+ Index (-200%)NASDAQ-100 Equal Weighted Index
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.95%0.35%
Inception Date2018-08-012012-03-21
Number Of Holdings10102
CurrencyUSDUSD
RegionUnited StatesUnited States
Investment StyleGrowthGrowth
Market CapLarge-CapLarge-Cap
SectorTechnologyTechnology
Sector DetailSoftware & HardwareSoftware & Hardware
LeveragedLeveragedNon-leveraged
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Key Metrics

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Performance Metrics

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Risk Metrics

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Detailed Returns

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Benchmark Comparison

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Key Metrics

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Performance Metrics

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Risk Metrics

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Detailed Returns

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Benchmark Comparison

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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

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End of Year Returns Table

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End of Year Returns

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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

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Drawdowns Table

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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.

Monte Carlo Metrics

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Simulated Portfolio Prices

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