Year to date, the TrueShares Technology, AI, and Deep Learning ETF (LRNZ) has outperformed the US large cap equity market and the tech-heavy Nasdaq by double-digit percentage points. LRNZ, up 35.40% as of June 30, outperformed the S&P 500 Index (SPX) by 25.21 percentage points and the Nasdaq Composite by 22.26 percentage points. 

LRNZ seeks to provide thematic exposure to a portfolio of 20-30 tech companies that we believe to be “category killers.” That is, those that possess innovative AI and deep learning solutions representing a distinct competitive advantage in their particular industry. The fund’s focus is on both the sophisticated users and the enablers of AI.

Though not all individual LRNZ holdings outperformed the indices or had positive overall returns YTD as of June 30, 2026, the companies below represent the types of LRNZ holdings with notable positive performance between January 1 and June 30, 2026.

Arm (ARM)

+224.37% YTD, as of June 30, 2026

Arm Holdings is a British semiconductor company that operates more as an intellectual property (IP) licenser than a traditional chip manufacturer. It conducts the R&D for the majority of the IP that powers the technological world’s CPUs and related computing systems. Recently, it released its own AGI CPU designed specifically to meet the needs of (and propel) the explosive growth in agentic AI. It has recently expanded from mobile chip design into large-scale, high-performance computing IP, thereby benefitting greatly from the rapid investment in data center infrastructure.¹

Crowdstrike (CRWD)

+62.80% YTD, as of June 30, 2026

Crowdstrike is a cybersecurity company specializing in AI- and cloud-native technologies. The more AI is deployed, the greater the demand for AI-native cybersecurity systems like Crowdstrike’s popular Falcon platform. It is therefore seeking to position itself as the cybersecurity solution for the entire AI buildout. Investors are encouraged not just by consecutive quarterly earnings growth, largely driven by its promising subscription model, but by projections of continued growth for years to come as the need for AI cyber protection shows no signs of slowing.²

Datadog (DDOG)

+91.46% YTD, as of June 30, 2026

Datadog’s data analytics platform provides monitoring services for cloud-scale enterprises. With the rapid growth of AI, the cloud infrastructure needed to train, develop, and deploy advanced models becomes larger and more complex. AI leaders like OpenAI are driving up demand. Datadog’s earnings are surpassing projections. The company has also expanded its products and services to meet the moment, like developing software that tracks LLM performance, for example.³

Micron (MU)

+304.62% YTD, as of June 30, 2026

Micron is yet another semiconductor company riding high on the tailwinds of the AI boom. But what sets Micron apart from the others and helps explain their breakout growth is a classic case of supply and demand. Micron specializes in ultra-fast memory chips that are in short supply compared to the demand driven by the massive amount of data processing via ever-evolving AI models. Micron has therefore been able to raise prices and is sold out through 2026, leaving investors with a decent runway of future growth potential for the in-demand memory chip maker.⁴

Monolithic Power (MPWR)

+53.02% YTD, as of June 30, 2026

Monolithic Power Systems, also a semiconductor company, specializes in energy-efficient chips for managing power systems, like the ones that keep data centers, car systems, and everyday electronics running. No doubt the surge in data center buildouts has bolstered their business, but the company’s business model also stands out, with stable margins and a technology that, once integrated into a system, is nearly impossible to be displaced by a competitor. Their success also doesn’t rest solely on the shoulders of AI as their technology has applications across diversified industries. The company has also increased its dividends to shareholders as earnings continue to accelerate.⁵

Vicor (VICR)

+246.51% YTD, as of June 30, 2026

One of the lesser known, but no less integrated, companies in the AI boom is Vicor, a maker of power systems and components. With the amount of energy generation needed to power the upcropping of data centers, it’s no wonder this power systems developer has seen demand and earnings skyrocket this year. Like Monolithic, Vicor’s success doesn’t rest solely on the AI boom panning out as the next golden ticket, though the industry’s trajectory may spell good news for this power player.⁶

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Holdings are subject to change without notice. Past performance of individual holdings is not indicative of future results. This material is provided for informational purposes only and does not constitute an offer to buy or sell any securities, investments, or holdings, nor should it be construed as investment, legal, tax, or financial advice.

For a full list of holdings and to view the prospectus, visit: www.true-shares.com/etf/lrnz

1. https://finance.yahoo.com/quote/ARM/profile/
2. https://finance.yahoo.com/markets/stocks/articles/why-crowdstrike-valuation-hasn-t-154722332.html 
3. https://finance.yahoo.com/markets/stocks/articles/datadog-ddog-laps-stock-market-214505293.html
4. https://finance.yahoo.com/markets/stocks/articles/why-micron-stock-surged-time-033119469.html 
5. https://finance.yahoo.com/markets/stocks/articles/monolithic-power-systems-inc-mpwr-201300222.html
6. https://finance.yahoo.com/markets/stocks/articles/ve-likely-never-heard-stock-130003418.html 

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Disclosures

Performance data quoted represents past performance and does not guarantee future results. Investment return and principal value of an investment will fluctuate so that an investor's shares, when redeemed or sold in the secondary market, may be worth more or less than the original cost. Investors will incur usual and customary brokerage commissions when buying or selling shares of the exchange-traded funds in the secondary market, and that, if reflected, the brokerage commissions would reduce the performance returns. Current performance may be lower or higher than the performance shown. Shares are bought and sold at market price not net asset value and are not individually redeemable from the fund. Call 877-774-TRUE (8783) for performance data current to the most recent month end.

All performance figures assume reinvestment of dividend and capital gains at net asset value; actual returns may differ. Performance figures do not reflect the deduction of taxes that a shareholder would pay on Fund distributions or upon redemption or sale of fund shares. The fund inception date is generally several days prior to when the fund begins trading.

Index performance does not represent TrueShares fund performance. The S&P 500 (SPX) is a stock market index tracking the stock performance of 500 of the largest companies listed on stock exchanges in the United States. The Nasdaq Composite is a broad stock market index that tracks the performance of over 3,000 stocks traded on the Nasdaq stock exchange. The ETF is benchmark agnostic and corresponding portfolios may have significant non-correlation to any index. Index returns are generally provided as an overall market indicator. You cannot invest directly in an index. Although reinvestment of dividend and interest payments is assumed, no expenses are netted against an index’s returns. Index performance information was furnished by sources deemed reliable and is believed to be accurate, however, no warranty or representation is made as to the accuracy thereof and the information is subject to correction.