PortfolioMetrics

TSLY vs. JEPY - ETF Comparison

TSLY - YieldMax TSLA Option Income Strategy ETF

The YieldMax TSLA Option Income Strategy ETF is an actively managed equity fund that focuses on the US automobile manufacturing sector, employing a buy-write strategy to generate income. The fund invests in a concentrated portfolio of 8 holdings, with a focus on Tesla Inc.

JEPY - Defiance S&P 500 Enhanced Options Income ETF

The Defiance S&P 500 Enhanced Options Income ETF is an actively managed equity fund that seeks to provide income generation and capital appreciation by investing in large-cap US stocks, utilizing an options-based strategy.

TSLYJEPY
Fund NameYieldMax TSLA Option Income Strategy ETFDefiance S&P 500 Enhanced Options Income ETF
Fund ProviderTidal Investments LLCDefiance ETFs
IndexActive (No Index)Active (No Index)
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio1.01%0.99%
Inception Date2022-11-222023-09-18
Number Of Holdings87
CurrencyUSDUSD
RegionUnited StatesUnited States
Investment StyleIncomeIncome
Market CapLarge-CapLarge-Cap
LeveragedNon-leveragedNon-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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