================================================================================================ DRAFT — HYPOTHETICAL MODEL PORTFOLIO — NOT A REGISTERED FUND, NOT AN OFFER TO SELL SECURITIES, NOT INVESTMENT ADVICE. ================================================================================================ Four-factor core, Fama-French style (FFFC) Statement of Additional Information · November 2026 · Dated 2026-11-14 Issuer: ETF Foundry Research (hypothetical) | Listing: Not listed (hypothetical) | CUSIP: Not applicable (hypothetical model portfolio) ## Fund History This Statement of Additional Information relates to Four-factor core, Fama-French style (FFFC), a hypothetical model portfolio in the Hypothetical Model Portfolio Series (not a registered trust). It is not part of any registration statement because none exists; it is provided for research transparency only. ## Investment Policies and Restrictions The model applies the rules described under Portfolio Construction Methodology and holds only the stocks they select. Apart from the short side of the long-short construction, it uses no leverage, options, or borrowing. There are no fundamental investment restrictions because the Fund is not a registered investment company and holds no assets. ## Portfolio Construction Methodology The hypothetical Fund seeks to track a rules-based model that ranks stocks on four signals (book-to-market, operating profitability, asset growth and 12-month momentum) and rebuilds its portfolio monthly. The stocks are U.S. common stocks listed on the NYSE, NASDAQ or NYSE American, with a share price of at least $5 and a market value of at least $50 million. Each month every signal is signed so that higher values are the ones the model buys, and turned into a percentile among the eligible stocks that have a value for it. Each signal gets its own Fama-French 2×3 portfolio over the same stocks, scored on that signal alone. Each month stocks are split at the median market value of the NYSE stocks among them into small and big companies and, independently, at the 30th and 70th NYSE percentiles of the score into low, middle and high (all eligible stocks set the breakpoints when fewer than 20 are on the NYSE). In each, the long side is half small-high and half big- high; the short side half small-low and half big-low. The model holds these portfolios side by side in the signals' shares (listed below) and resets them to those shares every month. Only months in which every signal has a portfolio are used. The bucket setting does not apply. Within each corner group of each signal's portfolio, stocks are weighted by market value. The model is long-short: it holds the long side and sells the short side short in equal dollar amounts, so its return is the long side's return minus the short side's. The portfolio is rebuilt at the end of every month from data known at that date and held through the following month. The model uses point-in-time Sharadar fundamentals and split- and dividend-adjusted total- return prices. It is a research backtest, not a live trading record. Because this is a hypothetical model portfolio and not a registered investment company, the Fund does not actually hold securities, accept investments, or transact; all figures are illustrative. Setting | Value --------------------+------------------------------------------------------------- Signals | 4 signals (see Signals) Combined | 2×3 per signal Stocks | U.S. common stocks on the NYSE, NASDAQ or NYSE American Screens | Price $5+; market value $50M+ Sectors | All Industry adjustment | None Long side | Top 30% by each signal, half small and half big companies Short side | Bottom 30% by each signal, half small and half big companies Weighting | Company size Largest position | No cap Rebalance | Monthly Overlay | None ## Disclosure of Portfolio Holdings Because the model is fully transparent and reconstitutes monthly, the complete hypothetical holdings are published on the accompanying Daily Holdings file. No selective disclosure policy applies. ## Management and Governance Investment Adviser (hypothetical): ETF Foundry Research (hypothetical). There is no board of trustees, officer, custodian, or transfer agent because no assets are held; any such roles are illustrative placeholders. ## Control Persons and Principal Holders of Securities None. No shares are issued or outstanding, so there are no control persons or record/beneficial holders. ## Investment Advisory and Other Services If the Fund were real, the Adviser would provide investment management for a unitary fee of 0.35%. No advisory, administrative, custody, audit, or legal services are actually provided or paid for. ## Brokerage Allocation and Other Practices Not applicable. No brokerage is placed and no commissions are paid because the model does not trade. ## Capital Structure Not applicable. The Fund has no authorized or outstanding shares, no share classes, and no net asset value. ## Purchase, Redemption, and Pricing of Shares Not applicable. There are no Creation Units, Authorized Participant agreements, or net- asset-value calculations because the Fund is hypothetical. ## Taxation Not applicable. The Fund is not a regulated investment company, holds no assets, and makes no distributions, so it has no tax status or consequences. ## Hypothetical Performance Detail Backtest metrics (hypothetical, gross of expenses and costs): Metric | Value ----------------------------------------------+-------- Full-period Sharpe (long-short) | 0.61 Annualized return (long-short) | 3.76% Annualized volatility | 6.16% Maximum drawdown | -15.46% Sharpe ratio, 2019-26 window | 0.54 FF5 alpha, 2019-26 window (annualized) | 2.76% FF5 alpha t-statistic, 2019-26 window | 2.41 Average monthly turnover (long side, by name) | 7.41% Average number of long positions | 2488 Months in sample | 333 ================================================================================================ DRAFT — HYPOTHETICAL MODEL PORTFOLIO — NOT A REGISTERED FUND, NOT AN OFFER TO SELL SECURITIES, NOT INVESTMENT ADVICE. ================================================================================================