PortfolioMetrics

CLOU vs. CLDL - ETF Comparison

CLOU - Global X Cloud Computing ETF

The Global X Cloud Computing ETF provides exposure to companies that benefit from the growing adoption of cloud-based computing, including those that provide cloud-based software, platforms, and infrastructure. The fund's unique methodology ensures a diversified portfolio by limiting the weight of giant companies and focusing on firms that generate at least half of their revenue from cloud computing.

CLDL - Direxion Daily Cloud Computing Bull 2X Shares

The Direxion Daily Cloud Computing Bull 2X Shares ETF provides 2x daily leveraged exposure to the Indxx USA Cloud Computing Index, which tracks the performance of US-listed companies involved in cloud computing. The fund is designed for investors seeking aggressive growth and willing to take on higher risk.

CLOUCLDL
Fund NameGlobal X Cloud Computing ETFDirexion Daily Cloud Computing Bull 2X Shares
Fund ProviderMirae AssetRafferty Asset Management
IndexIndxx Global Cloud Computing IndexIndxx USA Cloud Computing Index - Benchmark TR Gross (200%)
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.68%0.97%
Inception Date2019-04-122021-01-08
Number Of Holdings3649
RegionUnited StatesUnited States
Investment StyleGrowthGrowth
Market CapBlendBlend
SectorTechnologyTechnology
Sector DetailCloud ComputingCloud Computing
LeveragedNon-leveragedLeveraged
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