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FTEC vs. QQQM

Fidelity MSCI Information Technology Index ETF

FTEC
$
Today’s Change
()
vs

Invesco Exchange-Traded Fund Trust II Invesco NASDAQ 100 ETF

QQQM
$
Today’s Change
()

Correlation

0.98
1M
3M
6M
YTD
1Y
3Y
Max

Performance Measures**

for the time period Oct 24, 2013 to Dec 4, 2025

Returns

1M Trailing Return:

3M Trailing Return:

FTEC

-1.3%

10.0%

QQQM

0.6%

8.4%

Diff.

-1.9%

+1.6%

Measures of Risk or Volatility

Max Drawdown:

Standard Deviation:

FTEC

-35.0%

23.2%

QQQM

-35.0%

22.5%

Diff.

+0.7%

Measures of Risk-Adjusted Performance

Sharpe Ratio:

Calmar Ratio:

FTEC

0.95

0.61

QQQM

0.79

0.47

Diff.

+0.16

+0.14

FTECFidelity MSCI Information Technology Index ETF
QQQMInvesco Exchange-Traded Fund Trust II Invesco NASDAQ 100 ETF

What is FTEC?

The ETF seeks to provide investment returns that correspond, before fees and expenses, generally to the performance of the MSCI USA IMI Information Technology 25/50 Index.

Snapshot
**

FTEC Fidelity MSCI Information Technology Index ETF
QQQM Invesco Exchange-Traded Fund Trust II Invesco NASDAQ 100 ETF
Inception date
Oct 24, 2013
Oct 13, 2020
Expense ratio
0.08%
0.15%
FTEC has a lower expense ratio than QQQM by 0.06%. This can indicate that it’s cheaper to invest in FTEC than QQQM.
Type
US Equities
US Equities
FTEC targets investing in US Equities, while QQQM targets investing in US Equities.
Fund owner
Fidelity
Invesco
FTEC is managed by Fidelity, while QQQM is managed by Invesco.
Volume (1m avg. daily)
$25,275,556
$154,621,362
Both FTEC 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
$6,896,905,950
$14,236,186,221
FTEC has more assets under management than QQQM by $7,339,280,271. Higher AUM can be associated with better liquidity and lower slippage in trading.
Associated index
MSCI USA IMI Information Technology 25/50 Index
Nasdaq 100 Index
FTEC is based off of the MSCI USA IMI Information Technology 25/50 Index, while QQQM is based off of the Nasdaq 100 Index
Inverse/Leveraged
No
No
Neither FTEC nor QQQM use an inverse or leveraged strategy.
Passive/Active
Passive
Passive
FTEC 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
FTEC and QQQM may offer dividends. The frequency and yield of the dividend may not be the same.
Prospectus
Neither FTEC nor QQQM require a K1.
FTEC 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 toFTEC

KMLMNOVA MIX INV VOL WM 74

Category

Leveraged tech momentum, volatility hedges, managed futures, RSI signals, regime switching

OOS Cumulative Return

12.61%

Trading Strategies
Related toQQQM

FTL's 🌟 Starburst GEN-II v1.c w/ BWC Ultimate FR [Removed BB] Added Walter's Champagne and Cocaine Strats and NOVA | (multiple TQQQ, one crypto) KMLM Switcher MonkeyBusiness WM74 + Wash

Category

Tactical multi-asset, leveraged ETFs, volatility hedging, managed futures, mean reversion, momentum, regime switching, daily rebalancing

OOS Cumulative Return

208.65%

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.