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RSP vs. QQQM

Invesco S&P 500 Equal Weight ETF

RSP
$--
vs

Invesco Exchange-Traded Fund Trust II Invesco NASDAQ 100 ETF

QQQM
$--

Correlation

0.82
RSPInvesco S&P 500 Equal Weight ETF
QQQMInvesco Exchange-Traded Fund Trust II Invesco NASDAQ 100 ETF

What is RSP?

The Invesco S&P 500 Equal Weight ETF (Fund) is based on the S&P 500 Equal Weight Index (Index). The Fund will invest at least 90% of its total assets in securities that comprise the Index. The Index equally weights the stocks in the S&P 500 Index. The Fund and the Index are rebalanced quarterly.

Snapshot
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RSP Invesco S&P 500 Equal Weight ETF
QQQM Invesco Exchange-Traded Fund Trust II Invesco NASDAQ 100 ETF
Inception date
Apr 24 2003
Oct 13 2020
Expense ratio
0.20%
0.15%
RSP has a higher expense ratio than QQQM by 0.05%. This can indicate that it’s more expensive to invest in RSP than QQQM.
Type
US Equities
US Equities
RSP targets investing in US Equities, while QQQM targets investing in US Equities.
Fund owner
Invesco
Invesco
RSP is managed by Invesco, while QQQM is managed by Invesco.
Volume (1m avg. daily)
$616,655,599
$154,621,362
Both RSP 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
$40,657,630,595
$14,236,186,221
RSP has more assets under management than QQQM by $26,421,444,374. Higher AUM can be associated with better liquidity and lower slippage in trading.
Associated index
S&P 500 Equal Weighted Index
Nasdaq 100 Index
RSP is based off of the S&P 500 Equal Weighted Index, while QQQM is based off of the Nasdaq 100 Index
Inverse/Leveraged
No
No
RSP and QQQM use the same leverage ratio. Inverse and leveraged ETFs can be used to either take an opposite position or amplify returns of a given index.
Passive/Active
Passive
Passive
RSP 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
RSP and QQQM may offer dividends. The frequency and yield of the dividend may not be the same.
Prospectus
Neither RSP nor QQQM require a K1.
RSP 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.

Automated Strategies
Related toRSP

#BTD

Buy the Dips: Nasdaq 100

Category

Featured, Technology Focus

Risk Rating

Aggressive

Automated Strategies
Related toQQQM

#BTD

Buy the Dips: Nasdaq 100

Category

Featured, Technology Focus

Risk Rating

Aggressive

Create your own algorithmic
trading strategy

Disclaimers

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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.

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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.