PortfolioMetrics

BITX vs. IBIT - ETF Comparison

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.

IBIT - IShares Bitcoin Trust Registered

The iShares Bitcoin Trust Registered is an exchange-traded fund that provides investors with exposure to the price of Bitcoin, allowing them to gain long exposure to the cryptocurrency while shorting the US dollar.

BITXIBIT
Fund Name2x Bitcoin Strategy ETFIShares Bitcoin Trust Registered
Fund ProviderVolatility Shares LLCBlackRock
IndexS&P CME Bitcoin Futures Daily Roll Index - Benchmark TR Gross (200%)Bitcoin Reference Rate (CME CF)
Asset ClassCryptocurrencyCryptocurrency
ListingUS-listedUS-listed
Expense Ratio1.90%0.12%
Inception Date2023-06-272024-01-05
Number Of Holdings31
CurrencyCryptocurrencyCryptocurrency
RegionGlobalGlobal
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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