PortfolioMetrics

WTAI vs. QTUM - ETF Comparison

WTAI - WisdomTree Artificial Intelligence and Innovation Fund

The WisdomTree Artificial Intelligence and Innovation Fund is an equity ETF that tracks the performance of the WisdomTree Artificial Intelligence & Innovation Index, providing investors with exposure to companies involved in artificial intelligence and innovation. The fund has a global scope, with a multi-cap approach and an equal weighting scheme.

QTUM - Defiance Quantum ETF

The Defiance Quantum ETF is an equity fund that tracks the BlueStar Machine Learning and Quantum Computing Index, providing investors with exposure to a diversified portfolio of global information technology companies focused on machine learning and quantum computing. The fund's tiered weighting scheme aims to provide a balanced investment approach.

WTAIQTUM
Fund NameWisdomTree Artificial Intelligence and Innovation FundDefiance Quantum ETF
Fund ProviderWisdomTreeDefiance ETFs
IndexWisdomTree Artificial Intelligence & Innovation IndexBlueStar Machine Learning and Quantum Computing Index
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.45%0.40%
Inception Date2021-12-072018-09-04
Number Of Holdings7672
RegionGlobalGlobal
Investment StyleGrowthBlend
Market CapBlendBlend
SectorTechnologyTechnology
Sector DetailArtificial IntelligenceArtificial Intelligence
LeveragedNon-leveragedNon-leveraged
Invert Comparison

Select Timeframe

Key Metrics

Run the backtest to get the results

Performance Metrics

Run the backtest to get the results

Risk Metrics

Run the backtest to get the results

Detailed Returns

Run the backtest to get the results

Benchmark Comparison

Run the backtest to get the results

Key Metrics

Run the backtest to get the results

Performance Metrics

Run the backtest to get the results

Risk Metrics

Run the backtest to get the results

Detailed Returns

Run the backtest to get the results

Benchmark Comparison

Run the backtest to get the results

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

Run the backtest to get the results

End of Year Returns Table

Run the backtest to get the results

End of Year Returns

Run the backtest to get the results

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

Run the backtest to get the results

Drawdowns Table

Run the backtest to get the results

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

Run the backtest to get the results

Simulated Portfolio Prices

Run the backtest to get the results