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TQQQ vs. SCHD

ProShares UltraPro QQQ

TQQQ
$--
vs

Schwab US Dividend Equity ETF

SCHD
$--

Correlation

0.74
TQQQProShares UltraPro QQQ
SCHDSchwab US Dividend Equity ETF

What is TQQQ?

ProShares UltraPro QQQ seeks daily investment results before fees and expenses that correspond to triple (300%) the daily performance of the NASDAQ-100 Index .

Snapshot
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TQQQ ProShares UltraPro QQQ
SCHD Schwab US Dividend Equity ETF
Inception date
Feb 09 2010
Oct 20 2011
Expense ratio
0.86%
0.06%
TQQQ has a higher expense ratio than SCHD by 0.8%. This can indicate that it’s more expensive to invest in TQQQ than SCHD.
Type
US Equities
US Equities
TQQQ targets investing in US Equities, while SCHD targets investing in US Equities.
Fund owner
ProShares
Schwab
TQQQ is managed by ProShares, while SCHD is managed by Schwab.
Volume (1m avg. daily)
$3,460,839,081
$191,902,599
Both TQQQ and SCHD 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
$16,056,070,130
$47,737,029,197
TQQQ has more assets under management than SCHD by $31,680,959,067. Higher AUM can be associated with better liquidity and lower slippage in trading.
Associated index
Nasdaq 100 Index
Dow Jones U.S. Dividend 100 Index
TQQQ is based off of the Nasdaq 100 Index, while SCHD is based off of the Dow Jones U.S. Dividend 100 Index
Inverse/Leveraged
Leveraged (3x)
No
TQQQ uses Leveraged (3x), while SCHD uses undefined. Inverse and leveraged ETFs can be used to either take an opposite position or amplify returns of a given index.
Passive/Active
Passive
Passive
TQQQ and SCHD 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
Yes
SCHD may offer dividends, while TQQQ does not. The frequency and yield of the dividend for SCHD may vary.
Prospectus
Neither TQQQ nor SCHD require a K1.
TQQQ and SCHD’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 toTQQQ

#BTD

Buy the Dips: Nasdaq 100

Category

Featured, Technology Focus

Risk Rating

Aggressive

Automated Strategies
Related toSCHD

#OPUS-12

Opus-12

Category

Opus, Investing for the Long-Term

Risk Rating

Moderate

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.

**

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.