PortfolioMetrics

MAGX vs. FNGG - ETF Comparison

MAGX - Roundhill Daily 2X Long Magnificent Seven ETF

The Roundhill Daily 2X Long Magnificent Seven ETF is an actively managed fund that seeks to provide daily leveraged exposure to a concentrated portfolio of large-cap US technology stocks, known as the 'Magnificent Seven'.

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.

MAGXFNGG
Fund NameRoundhill Daily 2X Long Magnificent Seven ETFDirexion Daily NYSE FANG+ Bull 2X Shares
Fund ProviderRoundhill InvestmentsRafferty Asset Management
IndexActive (No Index)NYSE FANG+ Index (-200%)
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.95%0.98%
Inception Date2024-02-292021-09-30
Number Of Holdings212
CurrencyUSDUSD
RegionUnited StatesUnited States
Investment StyleGrowthGrowth
Market CapLarge-CapLarge-Cap
SectorTechnologyTechnology
Sector DetailBig TechBig Tech
LeveragedLeveragedLeveraged
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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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