TrueShares Technology, AI & Deep Learning ETF
Data updated: 2025-05-30
C000218110 — TrueShares Technology, AI & Deep Learning ETF. Holdings, fees, performance and SEC filings.
C000218110 Fund Overview
TrueShares Technology, AI & Deep Learning ETF is a US ETF managed by Listed Funds Trust, categorised as United States Multi-Cap / All-Cap Growth Thematic Equity. ABC INVEST provides holdings, performance, costs, cashflows, risk data, prospectus documents and SEC filings, sourced from SEC filings.
- Type: US ETF
- Manager: Listed Funds Trust
- Category: United States Multi-Cap / All-Cap Growth Thematic Equity
- Assets under management: $27.87M
- 1-year return: -12.0%
- SEC CIK: 0001683471
- SEC series ID: S000068068
- Share class ID: C000218110
C000218110 Investment Objective and Strategy
TrueShares Technology, AI & Deep Learning ETF describes its objective and strategy as follows, from its latest prospectus filed with the SEC by Listed Funds Trust.
Investment objective
The TrueShares Technology, AI & Deep Learning ETF (the Fund or AI ETF) seeks total return.
Principal investment strategy
The Fund is an actively-managed exchange-traded fund (ETF) that pursues its investment objective by investing, under normal circumstances, at least 80% of its net assets (plus any borrowings made for investment purposes) in the common stock of technology, artificial intelligence and deep learning companies. The Fund generally considers a company to be a technology, artificial intelligence and/or deep learning company if it derives 50% or more of its revenues or profits from the development, advancement and/or use of technology, including artificial intelligence-and/or deep learning-related technologies, or if it has committed 50% or more of its research and development-dedicated capital to the development, advancement and/or use of such technology, each measured at the time of investment. In addition, Black Hill Capital Partners, LLC, the Funds sub-adviser (Black Hill or the Sub-Adviser), seeks to select companies that have a competitive advantage with respect to the development and utilization of artificial intelligence, machine learning, or other deep learning technologies.
Artificial intelligence, or AI, refers to the development or use by a business of computer systems that perform tasks previously requiring human intelligence, such as decision-making or audio or visual identification or perception. Machine learning refers to technologies that enable a computer to learn from data it has processed to incorporate different assumptions or past experience into future computations or analyses. Deep learning refers to a more advanced level of learning and involves minimal human interference at the beginning of the learning process. The Sub-Adviser selects companies for the Funds portfolio by assessing whether the companys business is a secular growth business, a cyclical growth business, or a newly public company and then evaluates the value and growth prospects for each company using the following criteria.
Secular Growth Companies - Companies that do not closely track a seasonal or cyclical trend. In selecting such companies for the Funds portfolio, the Sub-Adviser seeks companies that it believes are in the best position to succeed in what is a very competitive technology space. Research on these companies is also continuously augmented with information from additional sources such as Wall Street sell-side investment banks ( e.g., Merrill Lynch, Morgan Stanley, etc.) and other proprietary information sources from many parts of the technology sector. The Sub-Adviser has established buy-and-hold positions in these companies and does not expect significant turnover of these companies within the portfolio. The Sub-Adviser expects to let these investments grow over time from positive trends in their sector, market positioning and superior products.
The Fund generally invests in secular growth companies to a greater extent than in cyclical growth or newly public companies. Cyclical Growth Companies - Companies that are known for following the cycles of an economy through expansion, peak, recession, and recovery. Most cyclical stocks belong to companies that sell non-essential items consumers can afford to buy more of during a booming economy. These stocks are also from companies that consumers choose to spend less with or cut back on during a recession. In selecting such companies for the Funds portfolio, the Sub-Adviser utilizes fundamental analysis, with an emphasis on revenue growth, margins, and select balance sheet items which it believes are more consistent indicators of cyclical bottoms. The Fund seeks to sell its cyclical growth holdings when their margins peak in the economic cycle.
Newly Public Companies - Companies that have recently gone through an initial public offering (IPO) and are now publicly traded on a stock exchange. In selecting such companies for the Funds portfolio, the Sub-Adviser follows developments in the private market to seek to identify companies that will fit the Funds investment profile at the time of their IPO. When a new company that fits the Funds investment profile enters the market via an IPO, the Sub-Adviser will generally seek to build the Funds position in that company over the course of a four to six month period following the IPO. The Funds portfolio will be primarily composed of common stock of U.S. companies, although the portfolio may include common stock of non-U.S. companies from time to time. The Funds portfolio is typically comprised of the 20 to 30 most attractive securities based on the Sub-Advisers analysis.
The Sub-Adviser anticipates keeping a significant portion of the Funds portfolio in cash (up to 20%) during periods when the Sub-Adviser believes it is merited. These cash positions will be utilized to purchase securities when the Sub-Adviser identifies an event-based investment opportunity in a secular growth company that has driven down share prices but will not, in the Sub-Advisers opinion, impact the secular nature of the company. The cash positions also may be used in the event of a bear market or an instance in which the Sub-Adviser believes that the market is experiencing a valuation correction ( i.e., a move that is not reflected in overall economic data). After initial purchase, company weightings typically fluctuate with the market. The Sub-Adviser will manage inflows and outflows ( i.e.
, fluctuations in Fund assets from creations and redemptions of Fund shares) by referencing existing stock weights coupled with its view of a companys forward rate of return potential. While many portfolio holdings have a larger capitalization, the Fund may also invest in small and medium capitalized companies, as TrueMark Investments, LLC (the Adviser), the Funds investment adviser, believes these relatively smaller companies may provide above average capital appreciation and dividend yield. The Fund is non-diversified and may invest a greater percentage of its assets in a particular issuer than a diversified fund. The Fund concentrates ( i.e. , invests at least 25% of its assets) investments in one or more industries in the Information Technology Sector. While the Funds exposure to the industries within the Information Technology Sector may vary over time, as of March 31, 2025, the Funds holdings were concentrated within the Software Industry.
For purposes of this policy, each sector and industry is defined by the Global Industry Classification Standard, a widely recognized industry classification methodology developed by MSCI, Inc. and S&P Dow Jones Indices.
C000218110 Holdings
Top 10 holdings of TrueShares Technology, AI & Deep Learning ETF by percentage of net assets, from the fund's latest SEC N-PORT filing.
| Holding | % of net assets |
|---|---|
| Crowdstrike Holdings Inc | 10.68% |
| NVIDIA Corp. | 9.15% |
| Cloudflare Inc | 8.89% |
| Samsara Inc | 7.94% |
| Snowflake Inc | 6.25% |
| Elastic NV | 6.02% |
| Amazon.com, Inc. | 5.50% |
| Eli Lilly & Co. | 4.82% |
| Zscaler Inc | 4.47% |
| Advanced Micro Devices Inc. | 4.40% |
C000218110 Portfolio Allocation
Asset-class allocation of TrueShares Technology, AI & Deep Learning ETF by percentage of net assets, from the latest SEC N-PORT filing.
| Asset class | Allocation |
|---|---|
| Equity | 99.1% |
| Cash & Equivalents | 0.9% |
C000218110 Performance
Total returns for C000218110 (as of 2026-10-01), from SEC filings.
| Period | Total return |
|---|---|
| 1 year | -12.0% |
| 3 years (annualised) | -3.8% |
| 5 years (annualised) | 8.6% |
C000218110 Risk Information
Risk metrics for C000218110, derived from monthly returns in SEC filings.
- 1-year volatility (annualised): 27.5%
C000218110 Costs and Fees
C000218110 costs about $69 per $10,000 invested per year in fund expenses.
- Net expense ratio: 0.69%
- Gross expense ratio: 0.69%
- Portfolio turnover: 28%
- Brokerage commissions: 3.28 bps of average net assets (SEC N-CEN)
C000218110 Cashflows
Over the 12 months to 2025-03, TrueShares Technology, AI & Deep Learning ETF had net outflows of $10.88M, from monthly SEC N-PORT filings.
| Month | Net flow |
|---|---|
| 2025-03 | −$1.45M |
| 2025-02 | $0 |
| 2025-01 | −$835.60K |
| 2024-12 | $0 |
| 2024-11 | −$1.28M |
| 2024-10 | −$1.55M |
C000218110 Debt Constituents
No individual debt constituents are reported in TrueShares Technology, AI & Deep Learning ETF's latest SEC N-PORT filing.
C000218110 Prospectus and SEC Filings
Official TrueShares Technology, AI & Deep Learning ETF filings on SEC EDGAR — prospectus, portfolio holdings and annual reports.
- Prospectus (485BPOS) — filed 2025-04-30
- Prospectus (485BPOS) — filed 2024-04-26
- Prospectus (485BPOS) — filed 2023-04-28
- Portfolio holdings (N-PORT) — filed 2025-05-30
- Portfolio holdings (N-PORT) — filed 2025-02-28
- Portfolio holdings (N-PORT) — filed 2024-11-27
- Annual census (N-CEN) — filed 2025-03-17
- Annual census (N-CEN) — filed 2024-03-15
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Data Sources
ABC INVEST compiles this page from public filings made to the U.S. Securities and Exchange Commission (SEC) through EDGAR: portfolio holdings and monthly cashflows from Form N-PORT, expenses and returns from fund prospectuses (Form 485BPOS) and the SEC DERA Risk/Return Summary data sets, annual data from Form N-CEN, and shareholder reports from Form N-CSR.