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(Information found on this site is directed to U.S. investors only. The Fund is not registered in all states.)

Investment objective

The Funds primary objective is to achieve long-term capital appreciation with current income as a secondary objective.

A disciplined, time-tested approach to investing

Day Hagan Asset Management (www.dayhagan.com) utilizes a quantitative framework to define asset allocation. Our quantitative models incorporate indicators and model composites developed in conjunction with Ned Davis Research. Our work mathematically evaluates business conditions, fundamentals, price-trends, sentiment, economic trends and valuation to determine the most attractive asset classes. Our proprietary models quantitatively interpret these ever-changing market conditions and adjust the portfolio each month.

The models seek to provide the flexibility to seize opportunities in the marketplace in a rational, model-based, unemotional manner. The first and most important decision is the allocation to stocks versus bonds. Then the allocation is further refined through exposure to U.S. vs. International, Large Cap vs. Small Cap and Value vs. Growth. The strategy is implemented by utilizing ETFs (exchange traded funds).

Day Hagan Asset Managements philosophy of investing is founded upon the following tenets:

• Make decisions based on an objective and model-based framework
• Utilize only time-tested and robust financial market indicators
• Allocate based on a weight-of-the-evidence approach
• Attempts to stay on the right side of major trends by using trend-following indicators
• Remain disciplined and unemotional at all times

Below are the Fact Sheets and Managers Bios as related to the Day Hagan Tactical Allocation Fund of ETFs.

Successful investing is a disciplined process of understanding the markets, determining the mix of assets that will work best at a given time and allocating assets accordingly. Our models search for confirmation: In other words, when many diverse indicators are all providing a similar message, the probability of success is much higher. The models weight-of-the-evidence approach provides a historically-based perspective on current risks and reward. Of course, past performance does not guarantee future success and as with any mutual fund, there is no guarantee that the Fund will achieve its goal.