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ETFs

Franklin Intelligent Machines ETF

IQM
$--
Today’s Change
-- (--)

Snapshot
*

Inception Date
Feb 25 2020
Expense Ratio
0.50%
Type
Global Equities
Fund Owner
Franklin Templeton
Volume (1m avg. daily)
$96,654
AUM
$19,615,500
Associated Index
None
Inverse/Leveraged
No
Passive/Active
Active
Fractionable on Composer
Yes
Prospectus
View

Top 10 Holdings

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NVIDIA Corp
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CDNS
Cadence Design Systems, Inc.
4.77%
ISRG
Intuitive Surgical Inc
4.72%
ASML
ASML Holding NV - New York Shares
4.24%
n/a
Cash & Cash Equivalents
3.80%
AMAT
Applied Materials Inc.
2.80%
TSM
Taiwan Semiconductor Manufacturing - ADR
2.79%
Invest with IQM

What is IQM?

The Fund invests at least 80% of it assets in equity securities of companies that are relevant to the Fund s investment theme of intelligent machines. Shareholders will be given at least 60 days advance notice of any change to the Fund s 80% policy. The Fund invests predominantly in common stock. The Fund s investment theme of intelligent machines are those that the investment manager believes are substantially focused on and/or are expected to substantially benefit from the ongoing technology-driven transformation of products, software, systems and machinery as well as product design, manufacture, logistics, distribution and maintenance, including through developments in artificial intelligence. These companies may include those that develop, produce, manufacture, design, maintain and deliver products or services with new capabilities previously unavailable in the marketplace.

ETFs related toIQM

ETFs correlated to IQM include RSPT, NULG, FXL

IQM
Franklin Templeton ETF Trust - Franklin Intelligent Machines ETF
RSPT
Invesco Capital Management LLC - Invesco S&P 500 Equal Weight Technology ETF
NULG
Nuveen Fund Advisors LLC - Nuveen ESG Large-Cap Growth ETF
FXL
First Trust Exchange-Traded Fund III - First Trust Technology AlphaDEX Fund
QTUM
ETF Series Solutions Trust - Defiance Quantum ETF
IXN
BlackRock Institutional Trust Company N.A. - iShares Global Tech ETF
QTEC
First Trust Exchange-Traded Fund III - First Trust NASDAQ-100 Technology Sector Index Fund
XNTK
SPDR Series Trust - SPDR NYSE Technology ETF
VGT
Vanguard Group, Inc. - Vanguard Information Technology ETF
FTEC
Fidelity Covington Trust - Fidelity MSCI Information Technology Index ETF
IGM
BlackRock Institutional Trust Company N.A. - iShares Expanded Tech Sector ETF

What is ETF correlation?

Correlation is a measure of the strength of the relationship between two ETFs. It quantifies the degree to which prices of the two ETFs typically move together.

Here, correlation is measured over the past year with the Pearson correlation coefficient (Pearon’s r), which ranges from -1 to 1.

Using ETF correlations in portfolio and strategy construction

ETF correlations can help you create investing strategies and portfolios. Use them to:

  • •Build a diversified portfolio from uncorrelated or inversely correlated ETFs with the aim of minimizing portfolio risk.
  • •Compare correlated or related ETFs to find one with a lower expense ratio or higher trading volume.
  • •Create an investing strategy that hedges an ETF with an uncorrelated or inversely correlated ETF.

Automated Strategies
Related toIQM

#PTS

Pick the Trending Sector

Category

Grow Your Portfolio, Ride the Momentum

Risk Rating

Aggressive

#OPUS-12

Opus-12

Category

Opus, Investing for the Long-Term

Risk Rating

Moderate

Create your own algorithmic trading strategy with IQM using Composer

FAQ

IQM is a Global Equities ETF. The Fund invests at least 80% of it assets in equity securities of companies that are relevant to the Fund s investment theme of intelligent machines. Shareholders will be given at least 60 days advance notice of any change to the Fund s 80% policy. The Fund invests predominantly in common stock. The Fund s investment theme of intelligent machines are those that the investment manager believes are substantially focused on and/or are expected to substantially benefit from the ongoing technology-driven transformation of products, software, systems and machinery as well as product design, manufacture, logistics, distribution and maintenance, including through developments in artificial intelligence. These companies may include those that develop, produce, manufacture, design, maintain and deliver products or services with new capabilities previously unavailable in the marketplace.

Yes, IQM is actively managed. 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.

No, IQM is not passively managed. It is actively managed. A passively managed fund typically tries to track or follow a market index. In an actively managed fund, the fund manager makes decisions about how funds are invested.

The 1-month return on IQM is -0.0416%. This is the percent change in the value of IQM over the most recent 1-month period. The 3-month return on IQM is -0.0755%. This is the percent change in the value of IQM over the most recent 3-month period.

The standard deviation of IQM for the past year is 0.2537%. Standard deviation is the typical amount that the daily returns vary from the mean of the returns over the time period, standardized to a period of a year.

ETFs similar to IQM include PBW, IGF, and ARKK.

ETFs correlated to IQM include RSPT, NULG, and FXL.

ETFs that are inversely correlated to IQM include SQQQ, QID, and PSQ.

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.