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QQQ vs. QQQM

Invesco QQQ Trust, Series 1

QQQ
$
Today’s Change
()
vs

Invesco Exchange-Traded Fund Trust II Invesco NASDAQ 100 ETF

QQQM
$
Today’s Change
()

Correlation

1.00
1M
3M
6M
YTD
1Y
3Y
Max

Performance Measures**

for the time period Apr 1, 1999 to Jul 21, 2026

Returns

1M Trailing Return:

3M Trailing Return:

QQQ

-3.9%

10.2%

QQQM

-3.9%

10.1%

Diff.

+0.1%

Measures of Risk or Volatility

Max Drawdown:

Standard Deviation:

QQQ

-83.0%

27.0%

QQQM

-35.0%

22.3%

Diff.

-48%

+4.7%

Measures of Risk-Adjusted Performance

Sharpe Ratio:

Calmar Ratio:

QQQ

0.51

0.13

QQQM

0.83

0.49

Diff.

-0.32

-0.36

QQQInvesco QQQ Trust, Series 1
QQQMInvesco Exchange-Traded Fund Trust II Invesco NASDAQ 100 ETF

What is QQQ?

Invesco QQQ is an exchange-traded fund based on the Nasdaq-100 Index. The Fund will, under most circumstances, consist of all of stocks in the Index. The Index includes 100 of the largest domestic and international nonfinancial companies listed on the Nasdaq Stock Market based on market capitalization. The Fund and the Index are rebalanced quarterly and reconstituted annually.

Snapshot
**

QQQ Invesco QQQ Trust, Series 1
QQQM Invesco Exchange-Traded Fund Trust II Invesco NASDAQ 100 ETF
Inception date
Mar 10, 1999
Oct 13, 2020
Expense ratio
0.2%
0.15%
QQQ has a higher expense ratio than QQQM by 0.05%. This can indicate that it’s more expensive to invest in QQQ than QQQM.
Type
US Equities
US Equities
QQQ targets investing in US Equities, while QQQM targets investing in US Equities.
Fund owner
Invesco
Invesco
QQQ is managed by Invesco, while QQQM is managed by Invesco.
Volume (1m avg. daily)
$17,559,045,883
$154,621,362
Both QQQ and QQQM are considered high-volume assets. They’re less likely to be affected by issues like slippage and failed orders on Composer than low-volume assets.
AUM
$197,956,569,440
$14,236,186,221
QQQ has more assets under management than QQQM by $183,720,383,219. Higher AUM can be associated with better liquidity and lower slippage in trading.
Associated index
Nasdaq 100 Index
Nasdaq 100 Index
QQQ is based off of the Nasdaq 100 Index, while QQQM is based off of the Nasdaq 100 Index
Inverse/Leveraged
No
No
Neither QQQ nor QQQM use an inverse or leveraged strategy.
Passive/Active
Passive
Passive
QQQ and QQQM both use a Passive investing strategy. In an actively managed fund, the fund manager makes decisions about how funds are invested. A passively managed fund typically tries to track or follow a market index.
Dividend
No
No
QQQ and QQQM may offer dividends. The frequency and yield of the dividend may not be the same.
Prospectus
QQQ may issue a K1, while QQQM does not. You can find non-K1 alternatives for QQQ in its “Related ETFs” section.
QQQ and QQQM’s Correlation
When ETFs are correlated, there are 3 main topics to analyze that will help you build your automated trading strategy: liquidity, expense, and risk.
  • Liquidity: In an active trading strategy (trading multiple time per week), it’s important to consider the liquidity of the ETF you’re using. Lower liquidity can mean more money lost in slippage. AUM and average daily volume are both indicators of liquidity.
  • Expense: Some ETFs are more expensive to use than others. For strategies that are focused on longer holding periods, it’s important to factor in how expensive it is to hold this ETF. Expense ratio is the main indicator of how expensive an ETF is.
  • Risk: Some ETFs will be highly correlated, but have varying degrees of returns, due to leverage. It’s important to consider if an ETF is using leverage or not. The main indicators of a riskier ETF will be the use of leverage and higher standard deviation or max drawdown in a backtest.

Trading Strategies
Related toQQQ

E$[NO K-1 50/50] ☢️ Mod of V1.11 The Manhattan Project | 50% TQQQ Minimal | 50% Beta Baller + TCCC

Category

Leveraged ETFs, trend-following, mean reversion, volatility hedging, tactical allocation, bond-regime, tech/semis focus

OOS Cumulative Return

779.75%

Trading Strategies
Related toQQQM

Wash Sale 3 Sorted by 5 day Max DD WM 74

Category

Tactical allocation, trend following, risk-on/risk-off, managed futures switch, leveraged ETFs, volatility filter, wash-sale rotation

OOS Cumulative Return

336.49%

Create your own algorithmic
trading strategy

Disclaimers

*

We show information directly obtained from our data provider, Xignite. Data shown here is provided by Xignite, an unaffiliated third party. Composer believes the information shown here is reliable, but has not been verified and there is no guarantee that the information is accurate.

**

We show information based on calculations performed by Composer using data from our provider. Information provided here is based on calculations performed by Composer using data sourced from Xignite, an unaffiliated third party. Composer believes this information is reliable, but has not verified the data and there is no guarantee that the calculations are accurate.

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