By Jim Wyckoff, Benzinga
DETROIT, MICHIGAN - September 3, 2026 (NEWMEDIAWIRE) - Active, progressive market participants are taking note of a newer method of nimbly trading markets, one that challenges and can help hone their short-term trading skills: MicroSectors, a suite of leveraged Exchange Traded Notes (ETNs), offer financial instruments designed to give sophisticated, shorter-term traders and investors precise, surgical, short-term trading opportunities for concentrated segments of the stock market. They are not meant for the longer-term buy-and-hold investors.
These ETNs are unsecured debt obligations issued by the Bank of Montreal and their performance tracks an index but carries the credit risk of BMO. Instead of tracking broader markets like the S&P 500, MicroSectors track concentrated indexes generally containing 10 to 15 sector-leading stocks.
Most offerings in the suite of ETNs comprise 3X daily resetting leverage on either long or short ETNs. That means that these ETNs seek to provide three times leveraged participation, or leveraged inverse participation, in the index that it tracks on a daily basis (before taking into account fees). On a daily basis, traders can express a view, long or short, whether they expect a basket of securities to rise or fall in price.
Exploring The AI Opportunity With MicroSectors
One example of the MicroSectors approach is the recently launched MicroSectors 3X Long Artificial Intelligence ETN (NYSE: AIQU) and the MicroSectors 3X Short Artificial Intelligence ETN (NYSE: AIQD). AI is on the front burner of the general investing marketplace. It’s no longer just a sub-theme of tech; it has its own capex cycle, leaders and price action, driving the need for AI-focused baskets of securities.
There are compelling arguments from both the AI bulls and the bears regarding the future trajectory of the sector, making the case for both a leveraged and inverse ETN. While AI may be the wave of the future, some argue that some AI firms will go the way of the dotcom bust of the early 2000s.
There are three reasons AI now stands on its own as a tradable sector deserving dedicated ETNs, according to REX Shares on its website:
-
Spending: Hyperscaler capex tied to AI has reset the baseline for semiconductors, networking, and power. The numbers no longer fit inside a generic tech basket.
-
Concentration: A small group of U.S.-listed names is capturing most of the AI earnings tape. Sector-targeted exposure is sharper than broad-tech exposure.
-
Volatility: AI names move. That is the kind of price action a daily 3X or -3X tool is built to capture.
Both ETNs aim to offer sophisticated investors three times leveraged long or short participation in the daily performance of the BITA AI Leaders Select NTR U.S. Index, before taking into account fees, charges and the decay effect caused by the daily resetting of the leverage.
The index is designed to track the performance of 25 U.S.-listed companies involved in artificial intelligence technologies from both an application and infrastructure perspective. It is a net total return index, in which dividends paid on the applicable securities are included in the level of the index, less certain withholding taxes that may be applicable to dividends paid by the index.
How The Underlying Index Works - Digging Deeper
The index includes ‘Purity Leaders,’ which are companies that have high direct revenue exposure to AI products, services and activities, and ‘Key Enablers,’ which are key direct enablers of the business application of AI technologies
As of June 2, 2026, the index is allocated so that Key Enablers make up 60% and Purity Leaders make up 40%, with the Key Enablers equal-weighted and the Purity Leaders weighted by liquidity.
Key Enablers
Consider these the picks and shovels of the AI economy. While they tend to have more diversified business footprints, they are direct enablers of AI development and deployment. Think semiconductors, networking, memory and the platforms shipping AI to end users. Weightage is set at 60% so the basket leans on the proven, liquid names powering the AI build-out like Magnificent 7 companies.
Purity Leaders
This bucket targets companies whose business is more directly tied to artificial intelligence - firms that generate at least 50% revenue from AI products, services and activities. By setting this group at a fixed 40% of the index, the methodology ensures meaningful purity exposure without letting any one narrow segment dominate.
The index weight rebalances monthly to keep the underlying basket aligned with the methodology, and the constituent list is refreshed each quarter. It pulls from U.S.-listed names with liquid secondary markets, creating a basket with depth for trading in size. The 60-40 split is published each month to ensure transparency and is rules-based. The focus on AI leaders and particularly the Purity bucket means it’s built for price action – which appeals to traders using leveraged daily tools.
Before You Dive In - Things To Keep In Mind
While the siren call of a sharply AI-focused leveraged instrument can sound exciting, interested investors must keep a few things in mind. Firstly, these are daily trading tools for sophisticated investors. The 3X and -3X exposures are calibrated to a single trading day, and it’s not recommended to hold these for longer periods of time due to the risks posed by the daily compounding effect and the decay effect of daily fees. Secondly, they focus on active price action and aren’t designed for buy-and-hold investors, so you’ll need to closely monitor these over the trading day. Finally, they remain subject to BMO’s credit risk, given that they are senior, unsecured debt obligations of the bank.
Trade Your Convictions On AI With MicroSectors
The new ETNs offer sophisticated traders leveraged or inverse leveraged, sector-targeted AI exposure, balanced between Key Enablers and Purity Leaders through a rules-based U.S.-listed, liquid basket. If you’re a sophisticated, active trader looking for AI exposure for a single trading day, you can trade your convictions through AIQU and AIQD.
Featured image from Shutterstock.
This content was originally published on Benzinga. Read further disclosures here.
This post contains sponsored content and was created in collaboration with a third-party partner. Benzinga is a publisher and does not provide personalized investment advice or act as a broker or dealer. This content is for informational purposes only and is not intended to be investing advice or an offer or solicitation to buy or sell any security.
View the original release on www.newmediawire.com