Investment objective & strategy
As of Feb. 28, 2025 · prospectusObjective. The Fund seeks daily investment results, before fees and expenses, of 200% of the inverse (or opposite) of the daily performance of the Index. The Fund does not seek to achieve its stated investment objective for a period of time different than a trading day.
Strategy. The Index is designed by Solactive AG (the Index Provider) to represent the securities of companies from the United States that have business operations in the field of artificial intelligence (AI) applications and big data. The Index includes U.S. listed securities with certain minimum capitalization and liquidity requirements that the Index Provider defines as AI and big data companies using the following criteria: The Index Provider uses ARTIS , its proprietary natural language processing algorithm, to identify and rank AI and big data companies for inclusion in the Index. ARTIS uses keywords to review large volumes of publicly available data, such as company annual reports, published business descriptions, and financial news reports, which the Index Provider believes will identify and … The Index is designed by Solactive AG (the Index Provider) to represent the securities of companies from the United States that have business operations in the field of artificial intelligence (AI) applications and big data. The Index includes U.S. listed securities with certain minimum capitalization and liquidity requirements that the Index Provider defines as AI and big data companies using the following criteria: The Index Provider uses ARTIS , its proprietary natural language processing algorithm, to identify and rank AI and big data companies for inclusion in the Index. ARTIS uses keywords to review large volumes of publicly available data, such as company annual reports, published business descriptions, and financial news reports, which the Index Provider believes will identify and classify companies as being in the field of AI and big data, and then ranks the companies based on the number of keyword hits in the companys data. The ARTIS classification system is different than traditional classification systems because it does not utilize backward looking metrics, such as a companys past profits or revenue, to determine the classification of a company. After companies are identified by utilizing ARTIS, they are then reviewed and are only eligible for inclusion in the Index if a company generates at least 50% of its revenue from one of the following business fields: ? Artificial Intelligence (AI) : This segment comprises companies involved in the provision of AI computing solutions, software for digital transformation, processors and services to a variety of industries such as media, services industry, pharmaceuticals and computers. ? Data Analytics and Big Data : This segment focuses on companies involved in data-related technologies such as data mining, predictive analytics, and machine learning. It also comprises companies engaged in the provision of business specific process management and business solutions based on influent amounts of data and data analytics. ? Natural Language Processing : This segment focuses specifically on companies involved in delivering natural language processing using data analytics and/or AI programs, speech recognition, semantic networks, ontology engineering, and logic programming. It also includes the provision of algorithm-based solutions for machine learning. ? AI-Driven Services : This segment includes companies that develop and use AI-powered applications, such as chatbots, virtual assistants, predictive analytics, marketing technology and recommendation engines, as well as those that produce hardware and software components for AI systems, such as computer chips, graphics processing units, and specialized algorithms. Each company receives a score by ARTIS that reflects its exposure to the Index strategy and is then ranked by its score and the top 30 companies are selected for inclusion in the Index. The Index is rebalanced semi-annually. As of December 31, 2024, the Index was comprised of 30 constituents which were concentrated in the information technology, communication services sectors and semiconductor industry. The Fund, under normal circumstances, invests at least 80% of the Funds net assets (plus borrowing for investment purposes) in financial instruments, including swap agreements, futures contracts, or short positions, that, in combination, provide 2X daily inverse (opposite) or short exposure to the Index or to exchange-traded funds ("ETFs") that track the Index, consistent with the Funds investment objective. The financial instruments in which the Fund most commonly invests are swap agreements and futures agreements which are intended to produce economically inverse leveraged investment results. The components of the Index and the percentages represented by various sectors in the Index may change over time. The Fund will concentrate its investment in a particular industry or group of industries ( i.e. , hold 25% or more of its total assets in investments that provide inverse leveraged exposure to a particular industry or group of industries) to approximately the same extent as the Index is so concentrated. The Fund may also gain inverse leveraged exposure by investing in a combination of financial instruments, such as swap agreements or futures agreements that provide short exposure to the Index, to a representative sample of the securities in the Index that has aggregate characteristics similar to those of the Index or to an ETF that tracks the same Index or a substantially similar index, or the Fund may short securities of the Index, or short an ETF that tracks the same Index or a substantially similar index. The Fund invests in derivatives as a substitute for directly shorting securities in order to gain inverse leveraged exposure to the Index or its components. When the Fund shorts securities, including the securities of another investment company, it borrows shares of that security or investment company, which it then sells. The Fund closes out a short sale by purchasing the security that it has sold short and returning that security to the entity that lent the security. On a day-to-day basis, the Fund is expected to hold money market funds, deposit accounts with institutions with high quality credit ratings ( i.e . investment grade or higher), and/or short-term debt instruments that have terms-to-maturity of less than 397 days and exhibit high quality credit profiles, including U.S. government securities and repurchase agreements. The Fund seeks to remain fully invested at all times consistent with its stated inverse leveraged investment objective, but may not always have inverse exposure to all of the securities in the Index, or its weighting of inverse exposure to securities or industries may be different from that of the Index. In addition, the Fund may have inverse exposure to securities, ETFs or financial instruments not included in the Index. The Fund will attempt to achieve its investment objective without regard to overall market movement or the increase or decrease of the value of the securities in the Index. At the close of the markets each trading day, Rafferty rebalances the Funds portfolio so that its exposure to the Index is consistent with the Funds inverse leveraged investment objective. For example, if the Index has fallen on a given day, net assets of the Fund should rise, meaning that the Funds exposure will need to be increased. Conversely, if the Index has risen on a given day, net assets of the Fund should fall, meaning the Funds exposure will need to be reduced and that a shareholder should lose money, a result that is the opposite of traditional index tracking ETFs. This re-positioning strategy may result in high portfolio turnover. The terms daily, day, and trading day, refer to the period from the close of the markets on one trading day to the close of the markets on the next trading day. The Fund is non-diversified, meaning that a relatively high percentage of its assets may be invested in a limited number of issuers of securities. Additionally, the Funds investment objective is not a fundamental policy and may be changed by the Funds Board of Trustees without shareholder approval. Because of daily rebalancing and the compounding of each days return over time, the return of the Fund for periods longer than a single day will be the result of each days returns compounded over the period, which will very likely differ from -200% of the return of the Index over the same period. The Fund will lose money if the Index performance is flat over time, and as a result of daily rebalancing, the Indexs volatility and the effects of compounding, it is even possible that the Fund will lose money over time while the Indexs performance decreases over a period longer than a single day.
Top holdings
As of April 30, 2026 · N-PORT| Security | Ticker | Value | % of fund |
|---|---|---|---|
| GOLDMAN FINL SQ TRSRY INST 506 | — | $2.11M | 46.35% |
| DREYFUS GOVT CASH MGMT FUND | DGCXX | $1.95M | 42.88% |
| DREYFUS TRSRY SECURITIES CASH MGMT | — | $1.58M | 34.73% |
Portfolio moves
Jan 31, 2026 → Apr 30, 2026How many positions this fund opened, exited, grew, trimmed, or left unchanged between its two most recent N-PORT snapshots — net changes between point-in-time reports, not a trade log.
Similar funds
Funds whose portfolios most overlap this one, by weight| Fund | Overlap | Net exp. |
|---|---|---|
| Direxion Daily ADBE Bull 2X ETF | 89% | 0.97% |
| Direxion Daily S&P 500 Bear 3X Shares · SPXS | 84% | 1.02% |
| Direxion Daily S&P Oil & Gas Exp. & Prod. Bear 2X Shares · DRIP | 84% | 1.03% |
Advisers
| Firm | Role |
|---|---|
| RAFFERTY ASSET MANAGEMENT, LLC | Adviser |
Footnotes
- Expense ratio as of February 28, 2025, from the fund's prospectus.
- Net assets and holdings count as of April 30, 2026, from the fund's N-PORT filing.
- Total return for calendar year 2025, before tax and after fund expenses. Computed by compounding the twelve monthly total returns the fund reported in its SEC N-PORT filings for 2025 (the latest prospectus does not yet chart this year).
Machine-readable: JSON · Markdown. Programmatic access via the agent surface.