ALPHA INTELLIGENT - LARGE CAP VALUE ETF (AILV) Exchange: NYSE ARCA

The Fund is an actively-managed exchange-traded Fund (“ETF”) that invests primarily in equity securities of large capitalization companies, with a focus on value stocks. A value stock is the stock of a company whose stock price may not reflect the company’s intrinsic value, or that is temporarily out of favor. Under normal circumstances, the Fund will invest at least 80% of its net assets, plus borrowings for investment purposes, in the common stocks of large capitalization companies. These companies have market capitalizations in the range of companies in the Russell 1000® Value Index (the “Index”) at the time of purchase. As of September 30, 2021, the market capitalization of companies in the Index was $10 billion and greater. In seeking to achieve the Fund’s investment objective, Princeton Fund Advisers, LLC (the “Adviser”), the Fund’s investment adviser, implements its alpha strategy to seek to identify investment opportunities in which the performance of a company’s stock will exceed that of the market over time. In selecting stocks for the Fund, the Adviser combines its investment expertise with big data analytics and powerful machine learning to seek to identify, evaluate, and create a portfolio consisting of a consensus of high conviction positions held by what the Adviser believes are top-performing, actively-managed large-cap value fund managers and certain funds managed by those managers. These funds are screened by various objective risk and return metrics, including historical monthly and annual performance, Sharpe ratios (a measure of risk adjusted return), upside and downside capture ratios (a measure of performance against the market when it is up and down, respectively), and performance drawdown (a measure of downside volatility). “Big data analytics” is the use of advanced analytic techniques to analyze and extract information from large and complex data sets. “High conviction positions” are those positions in which the identified managers are overweight in relation to their benchmarks. The Adviser utilizes big data analytics to replicate those funds’ holdings and identify high conviction positions. From this universe, the Adviser identifies consensus agreement on high conviction stocks across the mutual funds, using analytics to evaluate frequency of appearance and magnitude of conviction. From this, the Adviser then selects stocks for the Fund, creating a portfolio consisting of those high conviction positions.The Adviser may sell a security from the Fund’s portfolio if the security’s risk parameters outweigh its return opportunities, more attractive alternatives are identified, or specific events alter the security’s prospects. Under normal circumstances, the Fund’s portfolio will consist of approximately 50 issuers, but it may at times consist of more or less than 50 issuers, depending on the Adviser’s assessment of appropriate and attractive investment opportunities. The Fund may engage in active and frequent trading of portfolio securities in implementing its principal investment strategies. The Fund is classified as a “non-diversified” investment company under the Investment Company Act of 1940, as amended (the “1940 Act”).