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$QTUM ETF, Disruptive Tech Exposure Without The Soul Searching

Quantum Computing is the Holy Grail of Disruptive Technologies,” says Chief Investment Officer of Defiance ETFs, Sylvia Jablonski.

2021 has been a momentous year for quantum computing. We saw two quantum companies, Rigetti and IonQ go public and a new UK-US- Australia security pact that acknowledged the centrality of quantum computing. The US’s commitment to beating China in this crucial field is evident in the $250bn Bill passed by the Senate in June.

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December saw the merger of two quantum giants, Honeywell Quantum Solutions and Cambridge Quantum to form Quantinuum. The combined entity is hoped to rival the legacy tech giants who are also racing towards quantum supremacy.

A recent report published by the Street.com ranked QTUM as one of the top tech ETFs for 2022, beating out all of all of GlobalX’s and Ark’s suite of ETFs. QTUM’s values has risen over 34% so far in 2021, compared to ARKK’s being down 22%.

QTUM launched in September 2018 and now has over $170 million in AUM. With 70 holdings and a 0.40% expense ratio, Defiance’s QTUM ETF offers diversified yet targeted exposure to a range of top cloud computing, machine learning and quantum computing stocks.

As of this writing the Fund may or may not hold one or more of the positions (stocks) mentioned in the article.  For a current list of holdings,

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Fund holdings and sector allocations are subject to change at any time and should not be considered recommendations to buy or sell any security.

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Investing involves risk. Principal loss is possible. As an ETF, the funds may trade at a premium or discount to NAV. Shares of any ETF are bought and sold at market price (not NAV) and are not individually redeemed from the Fund. The Funds are not actively managed and would not sell a security due to current or projected under performance unless that security is removed from the Index or is required upon a reconstitution of the Index. A portfolio concentrated in a single industry or country, may be subject to a higher degree of risk. The value of stocks of information technology companies are particularly vulnerable to rapid changes in technology product cycles, rapid product obsolescence, government regulation and competition. The Funds are considered to be non-diversified, so they may invest more of its assets in the securities of a single issuer or a smaller number of issuers. Investments in foreign securities involve certain risks including risk of loss due to foreign currency fluctuations or to political or economic instability. This risk is magnified in emerging markets. Small and mid-cap companies are subject to greater and more unpredictable price changes than securities of large-cap companies.The possible applications of quantum computing are only in the exploration stages, and the possibility of returns is uncertain and may not be realized in the near future. The “BlueStar Quantum Computing and Machine Learning Index™”, “BQTUM™ Index” (collectively “Quantum Computing and Machine Learning Index”), is the exclusive property and a trademark of BlueStar Global Investors LLC d/b/a BlueStar Indexes and has been licensed for use for certain purposes by Defiance ETFs LLC. Products based on the Quantum Computing and Machine Learning Index are not sponsored, endorsed, sold, or promoted by BlueStar Global Investors, LLC or BlueStar Indexes®, and BlueStar Global Investors, LLC and BlueStar Indexes makes no representation regarding the advisability of trading in such product(s). It is not possible to invest directly in an index.

PREDICTIONS-SERIES-2022

Total return represents changes to the NAV and accounts for distributions from the fund.
Median 30 Day Spread is a calculation of Fund’s median bid-ask spread, expressed as a percentage rounded to the nearest hundredth, computed by: identifying the Fund’s national best bid and national best offer as of the end of each 10 second interval during each trading day of the last 30 calendar days; dividing the difference between each such bid and offer by the midpoint of the national best bid and national best offer; and identifying the median of those values.

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[To share your insights with us, please write to sghosh@martechseries.com]

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