PortfolioMetrics

SQQQ vs. SOXL - ETF Comparison

SQQQ - ProShares UltraPro Short QQQ

The ProShares UltraPro Short QQQ ETF provides 3x daily short leverage to the NASDAQ-100 Index, making it a suitable option for sophisticated investors with a bearish short-term outlook for large-cap US equities. Please note that the fund's leverage resets daily, resulting in compounding of returns when held for multiple periods.

SOXL - Direxion Daily Semiconductor Bull 3x Shares

The Direxion Daily Semiconductor Bull 3x Shares ETF provides investors with 3x daily long leverage to the ICE Semiconductor Index, making it a suitable option for those with a bullish short-term outlook for semiconductor equities in developed markets. Please note that the fund's leverage resets daily, resulting in compounding of returns when held for multiple periods.

SQQQSOXL
Fund NameProShares UltraPro Short QQQDirexion Daily Semiconductor Bull 3x Shares
Fund ProviderProshare Advisors LLCRafferty Asset Management
IndexNASDAQ-100 Index (-300%)ICE Semiconductor Index (300%)
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.95%0.76%
Inception Date2010-02-092010-03-11
Number Of Holdings1731
RegionUnited StatesDeveloped Markets
Investment StyleGrowthGrowth
Market CapLarge-CapLarge-Cap
SectorTechnologyTechnology
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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