Strategy. The Funds Investment Strategy The Fund is an actively-managed exchange-traded fund (ETF) that seeks to achieve its investment objective by investing in a portfolio of other large, broad-based ETFs that the Sub-Adviser (Orcam Financial Group, LLC d/b/a Discipline Funds) believes can reduce the Funds relative stock and bond risks when compared to a traditional diversified market cap-weighted index fund. The Fund will provide a globally diversified portfolio, which will be systematically reallocated depending on the Sub-Advisers assessment of the risks in the then-current market environment. The Fund will seek long-term growth of capital with reduced investment volatility. The Methodology The Sub-Adviser uses two systematic, data-driven algorithms designed to (i) calculate the current risk level of global equity and bond markets … Show more… The Funds Investment Strategy The Fund is an actively-managed exchange-traded fund (ETF) that seeks to achieve its investment objective by investing in a portfolio of other large, broad-based ETFs that the Sub-Adviser (Orcam Financial Group, LLC d/b/a Discipline Funds) believes can reduce the Funds relative stock and bond risks when compared to a traditional diversified market cap-weighted index fund. The Fund will provide a globally diversified portfolio, which will be systematically reallocated depending on the Sub-Advisers assessment of the risks in the then-current market environment. The Fund will seek long-term growth of capital with reduced investment volatility. The Methodology The Sub-Adviser uses two systematic, data-driven algorithms designed to (i) calculate the current risk level of global equity and bond markets based on market valuations and macroeconomic data, including measurements like interest rate levels, gross domestic product (GDP), and consumer price index changes, and (ii) quantify the time horizon over which an instrument can be expected to generate reasonable rates of returns, similar to fixed income duration calculations (Defined Duration). The first algorithm helps the Sub-Adviser identify macroeconomic risks that might correspond with above- or below-average equity market and bond market risks. The algorithm uses a so-called countercyclical rebalancing methodology to reallocate the Funds portfolio relative to the then-current macroeconomic risks. Essentially, a countercyclical rebalancing methodology seeks to adjust a portfolios holdings to account for current market and macroeconomic data. In contrast, standard passively-managed funds will generally hold stocks and bonds in the same percentage allocation regardless of market valuations and macroeconomic conditions. The algorithm relies on data as reported by the U.S. Federal Reserve (which reports both U.S. and international data), the European Central Bank, U.S. Treasury, Bureau of Labor Statistics, World Exchanges, and third-party financial data providers that reflect current and expected conditions of the U.S. and global economy and financial markets including such inputs as interest rates and macroeconomic production and/or engagement. The algorithm is updated monthly. Depending on the algorithms output, the Funds portfolio will be reallocated accordingly. Equity-Bond Allocation The Funds typical Defined Duration target is between 3 and 7 years, but the Fund attempts to maintain an average Defined Duration of approximately 5 years. The Sub-Adviser uses the first algorithm to determine the Funds equity-bond allocation. When the algorithm indicates equity market risk is average, the Fund will generally allocate approximately 15 percent of its assets to the equity sleeve and 85 percent of its assets to the bond sleeve. Depending on the then-current risk level of the equity markets, the allocations will shift but will generally be 10-20% allocated to equity exposure and 80-90% allocated to bond exposure. In the event of a large equity market or macroeconomic decline (that is, the U.S. economy is performing poorly), the countercyclical rebalancing methodology may result in a higher equity allocation. For example, if the stock market declined and a typical passively-managed 15-85 stock-bond portfolio became a 10-90 stock-bond allocation, it would again be reallocated back to its original 15-85 stock-bond allocation. Whereas, the algorithm may recommend that the Fund be reallocated to a 20-80 stock-bond allocation to account for the potential that equities often become less risky after they have declined in value. U.S.-Foreign Equity Sleeve Allocation The Funds allocation between broad-based U.S. equity ETFs and broad-based foreign focused equity ETFs is contingent on the Defined Duration of the global equity markets. While the Funds equity allocation will generally include a mix of U.S. equity ETFs and foreign focused equity ETFs, the Fund will typically tilt towards styles or regions that the Sub-Adviser has determined have a lower Defined Duration given the Funds target average Defined Duration of approximately 5 years. When the Defined Duration of the global stock market shifts lower (for instance, during a bear market) the equity component could tilt towards higher Defined Duration equities with a higher expected future rate of return. For the Funds equity exposure, the Sub-Adviser evaluates broad-based equity ETFs that are publicly traded in U.S. markets. The Fund may hold broad-based U.S., international, or global markets ETFs. International and global ETFs will generally have exposure to foreign developed markets. Bond Sleeve Allocation The Sub-Adviser uses the second algorithm for the Funds bond portfolio, which is also based on market valuations and macroeconomic data, to evaluate the interest rate and credit risk of bond markets. Like the equity market algorithm, the bond market algorithm is designed to identify periods of above- or below-average economic and market activity. The bond market algorithm also considers bond-specific data, like average credit spreads and bond yields. A credit spread is the difference in yield between a U.S. Treasury bond and another debt security of the same maturity but different credit quality, thereby allowing a comparison between a corporate bond and a risk-free alternative. Average credit spreads are often used as barometer of economic health. That is, when spreads are below average, that often portends a good economic environment. For instance, the algorithm might identify a period of below average credit spreads and strong economic growth to be consistent with a period of higher than average junk bond market risk. Further, during an economic expansion, aggregate bond markets typically become higher yielding on average. That is because higher interest rates often correlate with macroeconomic improvement. In that case, the Sub-Adviser may determine that longer duration bond funds are then subject to greater than normal risks. As a result, the Sub-Adviser may recommend the Fund hold ETFs that hold shorter duration, higher quality bonds such as U.S. government bonds. In addition to credit quality, the Sub-Adviser may recommend reallocating the bond sleeve to have a similar duration, a shorter duration, or a longer duration. Duration is a measure of a bond prices sensitivity to interest rate changes. Bonds with longer durations tend to be more sensitive to interest rate changes. In contrast, bonds with shorter durations tend to be less sensitive to interest rate changes. For example, during periods of poor economic growth and higher than average credit spreads the Funds bond market algorithm might alter the bond allocation so the Fund holds underlying funds that, in turn, hold lower duration bonds with reduced interest rate risk. The Funds bond sleeve will normally hold U.S. Treasury bonds and bond ETFs and/or very high quality U.S. corporate bond ETFs. Show less