Portfolio Metrics

QQQM vs. QQQ - ETF Comparison

QQQM - Invesco NASDAQ 100 ETF

The Invesco NASDAQ 100 ETF (QQQM) is an equity exchange-traded fund that aims to replicate the performance of the NASDAQ-100 Index, comprised of the 100 largest non-financial companies listed on the Nasdaq Stock Market. Launched on October 13, 2020, QQQM distinguishes itself from its older counterpart, the QQQ Trust, by offering a lower management fee and the ability to reinvest dividends, catering specifically to buy-and-hold investors. It stands as an appealing option for those seeking exposure to top tech and non-financial companies with the added benefits suited for long-term investment strategies.

QQQ - Invesco QQQ Trust Series I

The Invesco QQQ Trust Series I (Symbol: QQQ) is a widely recognized ETF that tracks the NASDAQ-100 Index, focusing on equity assets primarily from the technology sector since its inception on March 10, 1999. This ETF is favored for its substantial allocation towards technology companies, encapsulating the sector's potential for high volatility and significant gains, which appeals predominantly to short-term traders due to its high average daily trading volumes. Despite its proclivity for notable sector-specific swings, QQQ offers a cost-efficient means for investors to gain exposure to the tech-heavy NASDAQ-100 Index, though its narrow focus of 100 names suggests a concentration risk that may not suit those seeking diversified, long-term investment strategies.

QQQMQQQ
ETF NameInvesco NASDAQ 100 ETFInvesco QQQ Trust Series I
IssuerInvescoInvesco
Number Of Holdings103102
Expense Ratio0.15%0.2%
Tracked IndexNASDAQ-100 IndexNASDAQ-100 Index
Asset ClassEquityEquity
Inception Date13 October 202010 March 1999
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 that uses random sampling to assess the risk and estimate the range of possible future returns of investment portfolios. It takes into account the initial investment and optionally contributions or 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