BITX vs. BRRR - 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.
BRRR - Valkyrie Bitcoin Fund
The Valkyrie Bitcoin Fund is an exchange-traded fund that provides investors with exposure to the price of Bitcoin, allowing them to gain from potential price increases while hedging against the US dollar.
| BITX | BRRR | |
|---|---|---|
| Fund Name | 2x Bitcoin Strategy ETF | Valkyrie Bitcoin Fund |
| Fund Provider | Volatility Shares LLC | Coinshares International Ltd. |
| Index | S&P CME Bitcoin Futures Daily Roll Index - Benchmark TR Gross (200%) | Bitcoin Reference Rate (CME CF) |
| Asset Class | Cryptocurrency | Cryptocurrency |
| Listing | US-listed | US-listed |
| Expense Ratio | 1.90% | 0.25% |
| Inception Date | 2023-06-27 | 2024-01-10 |
| Number Of Holdings | 3 | 1 |
| Currency | Cryptocurrency | Cryptocurrency |
| Region | Global | Global |
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Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
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
End of Year Returns Table
End of Year Returns
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
Drawdowns Table
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.