PortfolioMetrics

ARKB vs. BITX - ETF Comparison

ARKB - ARK 21Shares Bitcoin ETF

The ARK 21Shares Bitcoin ETF is an exchange-traded fund that tracks the performance of Bitcoin, providing investors with exposure to the cryptocurrency market. The fund is designed to offer a convenient and cost-effective way to invest in Bitcoin, with a focus on long-term growth.

BITX - 2x Bitcoin Strategy ETF

The 2x Bitcoin Strategy ETF is a leveraged fund that seeks to provide daily investment results, before fees and expenses, of 200% of the performance of the S&P CME Bitcoin Futures Daily Roll Index. The fund invests in bitcoin futures and is designed for investors seeking aggressive growth.

ARKBBITX
Fund NameARK 21Shares Bitcoin ETF2x Bitcoin Strategy ETF
Fund ProviderARK InvestVolatility Shares LLC
IndexBitcoin Reference Rate (CME CF)S&P CME Bitcoin Futures Daily Roll Index - Benchmark TR Gross (200%)
Asset ClassCryptocurrencyCryptocurrency
ListingUS-listedUS-listed
Expense Ratio0.21%1.90%
Inception Date2024-01-112023-06-27
Number Of Holdings13
CurrencyCryptocurrencyCryptocurrency
RegionGlobalGlobal
LeveragedNon-leveragedLeveraged
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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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