ROBO Global Artificial Intelligence ETF (THNQ) Covered Calls

The ROBO Global Artificial Intelligence ETF is an exchange-traded fund that tracks the global value chain of artificial intelligence. It invests across multiple sectors and countries, offering exposure to companies that build the foundational technology and hardware infrastructure enabling machine learning, as well as enterprises that deploy advanced AI applications and software solutions to reshape business processes, e-commerce, and healthcare analytics.

You can sell covered calls on ROBO Global Artificial Intelligence ETF to lower risk and earn monthly income. Born To Sell's covered call screener gives you customized search capabilities across all possible covered calls but here are a couple of examples for THNQ (prices last updated Thu 2:55 PM ET):

ROBO Global Artificial Intelligence ETF (THNQ) Stock Quote
Last Change Bid Ask Volume P/E Market Cap
85.51 -0.21 85.56 86.05 16K - 0.0
Covered Calls For ROBO Global Artificial Intelligence ETF (THNQ)
Expiration Strike Call Bid Net Debit Return
If Flat
Annualized
Return If Flat
Jul 17 86 1.80 84.25 2.1% 33.3%
Aug 21 86 3.30 82.75 3.9% 24.5%
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The ROBO Global Artificial Intelligence ETF functions as a comprehensive investment vehicle designed to catch the wave of the ongoing machine learning evolution. Instead of forcing investors to guess which individual tech darling will win the software arms race, this fund bundles them together. It holds a basket of global companies that build the structural backbone of the digital economy, running a strategy that stretches far beyond the typical household mega-cap tech stocks.

The fund tracks a specialized, rules-based index designed by industry experts and researchers to map out the entire machine learning value chain. The portfolio splits its attention between two essential layers. First is the infrastructure tier, which includes firms making advanced semiconductors, cloud computing nodes, and network security software. Second is the application tier, which features businesses leveraging these tech tools to revamp everyday enterprise operations, data tracking, and factory automation.

Because the fund uses a modified equal-weight indexing methodology, it actively avoids getting top-heavy. While standard tech funds let a tiny handful of massive corporations dictate their entire performance, this vehicle spreads its bets more evenly across large and mid-cap enablers. This layout ensures that a breakthrough from a rising mid-sized semiconductor supplier can move the needle for the fund just as much as a product launch from an established software giant.

Competition

The marketplace for technology-focused and thematic exchange-traded funds is a crowded arena where managers battle for retail trading volumes and investor capital. Key rivals include:

  1. iShares Expanded Tech-Software Sector ETF provides concentrated exposure to North American software developers and interactive cloud service providers.
  2. VanEck Semiconductor ETF tracks high-performance chipmakers and semiconductor fabrication equipment suppliers that supply the hardware running advanced neural networks.
  3. Roundhill Generative AI & Technology ETF targets companies directly involved in the development and commercial deployment of generative software tools and infrastructure platforms.

The fund establishes its unique footing by capturing the behind-the-scenes building blocks of corporate computation. While traditional tech-software funds load up almost exclusively on standard enterprise applications, this vehicle stays highly diversified across global boundaries. It routinely mixes international hardware fabricators and specialized data security providers to insulate the portfolio from localized regulatory shifts or single-country economic cooling cycles.

Strategic Outlook and Innovation

The forward game plan centers on refining its systematic indexing parameters to capture the next wave of compute infrastructure migrations. Index committees are keeping a very close eye on physical AI integrations, where machine learning algorithms combine with advanced hardware to run automated warehouses and medical diagnostics. Squeezing higher weightings out of these integrated technology developers is intended to give the fund's net asset value a massive lift.

On the structural side, trading desks are tuning their execution models to minimize tracking errors across multiple international equity exchanges during quarterly rebalancing windows. They are continuously optimizing their internal liquidity parameters to handle the unique midday price swings that occur when foreign chip designers or software shops respond to fast-moving local supply constraints. Keeping these trading workflows highly efficient ensures the fund can guard its defensive cash allocations while capturing pure upside when global enterprise tech demand surges.

 
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Covered Call Strategy Risks: While covered call writing is often considered a conservative options strategy, it is not without risk. By selling a covered call, you are limiting your potential upside profit from the underlying stock. You remain exposed to the full downside risk of owning the underlying stock. In the event of a significant decline in the stock price, the premium received may not be sufficient to offset your losses.

No Guarantee of Performance: Past performance is not indicative of future results. Any examples, calculations, or hypothetical scenarios presented on this site are for illustrative purposes only and do not guarantee future returns or outcomes. Market conditions, liquidity, and trading system failures can affect your ability to execute trades at desired prices.

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