PortfolioMetrics

SARK vs. AMDS - ETF Comparison

SARK - AXS Short Innovation Daily ETF

The AXS Short Innovation Daily ETF is an actively managed fund that provides inverse exposure to a broad range of innovative companies globally, aiming to profit from potential declines in their stock prices. The fund's strategy is designed to help investors hedge against potential losses in their portfolios.

AMDS - GraniteShares 1x Short AMD Daily ETF

The GraniteShares 1x Short AMD Daily ETF is an inverse equity fund that provides daily short exposure to AMD, a leading semiconductor company. The fund is designed to provide investors with a way to potentially profit from a decline in AMD's stock price.

SARKAMDS
Fund NameAXS Short Innovation Daily ETFGraniteShares 1x Short AMD Daily ETF
Fund ProviderAXS InvestmentsGraniteShares
IndexActive (No Index)Active (No Index)
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.75%1.15%
Inception Date2021-11-092023-08-21
Number Of Holdings23
CurrencyUSDUSD
RegionGlobalUnited States
SectorTechnologyTechnology
LeveragedInverseInverse
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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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