Return Stacked® Balanced Allocation & Systematic Macro Fund
Name
As of 06/01/2026Price
Aum/Mkt Cap
YIELD
Exp Ratio
Watchlist
$24.03
$42.2 M
3.90%
$0.94
2.44%
Vitals
YTD Return
13.5%
1 yr return
27.2%
3 Yr Avg Return
9.7%
5 Yr Avg Return
5.5%
Net Assets
$42.2 M
Holdings in Top 10
93.2%
52 WEEK LOW AND HIGH
Expenses
OPERATING FEES
Expense Ratio 2.44%
SALES FEES
Front Load N/A
Deferred Load N/A
TRADING FEES
Turnover 0.00%
Redemption Fee N/A
Min Investment
Standard (Taxable)
$1,000
IRA
N/A
Fund Classification
Fund Type
Open End Mutual Fund
Name
As of 06/01/2026Price
Aum/Mkt Cap
YIELD
Exp Ratio
Watchlist
$24.03
$42.2 M
3.90%
$0.94
2.44%
RDMIX - Profile
Distributions
- YTD Total Return 13.5%
- 3 Yr Annualized Total Return 9.7%
- 5 Yr Annualized Total Return 5.5%
- Capital Gain Distribution Frequency Annually
- Net Income Ratio -1.95%
- Dividend Yield 3.9%
- Dividend Distribution Frequency Annual
Fund Details
-
Legal NameReturn Stacked® Balanced Allocation & Systematic Macro Fund
-
Fund Family NameRational Funds
-
Inception DateSep 29, 2016
-
Shares OutstandingN/A
-
Share ClassInstl
-
CurrencyUSD
-
Domiciled CountryUS
-
ManagerAdam Butler
Fund Description
The Fund is an actively-managed mutual fund that seeks to achieve its investment objective by investing in two complementary strategies: a Balanced Allocation Strategy and a Systematic Macro Strategy. The Fund uses derivative contracts to stack the total return of holdings in the Funds Balanced Allocation Strategy together with the returns of the Funds Systematic Macro Strategy. Essentially, one dollar invested in the Fund provides approximately one dollar of exposure to the Funds Balanced Allocation Strategy and approximately one dollar of exposure to its Systematic Macro Strategy. Therefore, the returns of the Systematic Macro Strategy are effectively stacked on top of the returns of the Balanced Allocation Strategy.
Under normal circumstances, the Fund will target a 100% exposure to the Balanced Allocation Strategy and 100% exposure to the Systematic Macro Strategy. Each Strategy is described below. Notional value is the total underlying amount of a derivatives trade. Leverage allows an investor (like the Fund) to use a small amount of money to gain exposure to a larger (and potentially, a much larger) amount. So, notional value reflects the total value of a trade, not the cost (or market value) of taking the trade. Through the Funds use of futures contracts in both its Balanced Allocation Strategy and Systematic Macro Strategy (each as described below), the Fund provides leveraged exposure to a combination of assets held in the Balanced Allocation Strategy (U.S. equity and U.S. fixed income) and the Systematic Macro Strategy (equities, fixed income, currencies, and commodities). Further, the Fund (and the Subsidiary) will hold U.S. Treasury bills and cash equivalents as collateral for the futures contracts as well as to generate income.
Balanced Allocation Strategy:
The Funds Balanced Allocation Strategy aims to provide exposure to a target mix of approximately 50% U.S. equities and 50% U.S. bonds (100% total) with the objective of long-term capital appreciation. To achieve this, the Fund will invest in a combination of U.S. common stock, U.S. Treasury securities, exchange-traded funds (ETFs), and futures contracts. Newfound Research LLC (Newfound) serves as the investment sub-adviser to the Balanced Allocation Strategy.
U.S Equity Strategy:
The U.S. Equity Strategy seeks to capture the total return of large capitalization U.S. equity markets with the objective of long-term capital appreciation. The Fund will gain exposure to large capitalization U.S. equity markets through investment in broad-based U.S. large capitalization ETFs and/or U.S. equity index futures contracts. The Fund may also implement the U.S. Equity Strategy by investing directly in the common stock of U.S. large capitalization companies. The Fund defines large capitalization companies as those companies with market capitalizations of $8 billion or greater.
U.S. Bond Strategy:
The U.S. Bond Strategy seeks to capture the total return of the broad, investment grade, U.S. fixed income market with the objective of long-term capital appreciation. To do so, the Fund will invest in ETFs that provide broad exposure to investment grade U.S. corporate and government bonds and/or U.S. Treasury futures contracts, and will invest in such ETFs without any constraints as to maturity. The Fund will also invest in futures contracts on U.S. Treasuries with maturities ranging from two to 30 years, with a target duration of two to eight years.
The Fund may also implement the U.S. Bond Strategy by investing directly in U.S. Treasury bills, notes, and bonds across the yield curve. The U.S. Treasury securities held by the Fund will have a target duration of two to eight years.
Systematic Macro Strategy:
The Fund provides exposure to major global asset classes, including equities, bonds, currencies, and commodities. To gain access to these asset classes, the Fund will invest in futures contracts (including commodity futures, index futures, equity futures, bond futures and interest rate futures), currency forwards, options and swaps (including commodity swaps, swaps on commodity futures, equity swaps, swaps on index futures, total return swaps and interest rate swaps), either by investing directly in the instruments or, indirectly, through its Subsidiary (as described below). Investments by the Fund may be made in domestic and foreign markets, including emerging markets.
The Funds futures trading advisor, ReSolve Asset Management SEZC (Cayman) (the Futures Trading Advisor or ReSolve Global), uses a proprietary methodology to create a portfolio of securities with exposures to a number of characteristics, including, but not limited to: total-return momentum, trends, seasonal patterns, carry measures, mean reversion and others, while simultaneously maximizing diversification based on changing estimates of volatility and correlations across global asset classes.
| ● | Momentum: Momentum strategies seek to capitalize on the tendency of assets that have performed well recently to continue outperforming in the near term. By identifying investments with strong relative performance over a defined period, typically one year or less, these strategies aim to ride the wave of positive momentum. |
| ● | Trend: Trend strategies aim to benefit from sustained price movements by identifying and following established upward or downward trends in the market. Using a systematic, data-driven approach, the Futures Trading Advisor seeks to capture opportunities across various asset classes, including equities, bonds, currencies, and commodities. |
| ● | Seasonal: Seasonal strategies seek to capitalize on patterns of performance that tend to recur at specific times of the year. These strategies are based on the observation that certain asset classes, sectors, or markets exhibit predictable trends tied to calendar events, such as quarter-end rebalancing, holiday-driven consumer demand, or tax considerations. The Futures Trading Advisor employs a systematic approach to identify and exploit these recurring patterns, taking long positions in assets expected to benefit from seasonal trends while shorting (i.e., entering into a derivatives contract that profits from a decline in the price of the underlying asset) those likely to experience seasonal underperformance. |
| ● | Carry: Carry refers to the return an asset is expected to generate if its price and market conditions remain unchanged, typically driven by factors like interest rates or dividends. Carry strategies focus on capturing these returns by favoring assets with higher carry over those with lower carry. The strategy involves taking long positions in assets that offer higher carry, such as bonds or currencies with attractive interest rate differentials, while shorting assets with lower carry. |
| ● | Mean Reversion: Mean reversion strategies rely on the tendency of asset prices to revert to their historical averages or long-term trend levels after periods of extreme performance. These strategies assume that assets experiencing large deviations from their historical norms will eventually correct, presenting opportunities to profit from the reversal. The strategy will seek to buy assets that have recently underperformed relative to their historical averages, with the expectation that they will rebound, and sell those that have outperformed and are likely to regress. |
The Fund will take long or short positions in asset classes, such as equity index and fixed income asset classes, commodities, currencies and volatility indexes. Fund holdings and weights are regularly adjusted in response to material changes in world markets.
The Futures Trading Advisor will utilize its proprietary investment models to determine asset allocations based on multi-factor quantitative market information and account for the opportunity to reduce portfolio volatility through diversification. However, the long-term expected volatility of the Fund, in totality, will be greater than the volatility of either the Balanced Allocation Strategy or Systematic Macro Strategy measured in isolation. The investment models analyze these factors over a broad time spectrum, which may range from several days to multiple years. The Futures Trading Advisor analyzes a number of additional factors in determining how the asset classes are allocated in the portfolio, including, but not limited to: intermediate term (1-18 months) profitability of an asset class or market, liquidity of a particular market, desired diversification among markets and asset classes, transaction costs, exchange regulations, and depth of market. The allocations are reviewed daily, although changes may occur less frequently.
Under normal circumstances, the Funds aggregate notional exposure to the Systematic Macro Strategy will be approximately 100% of the Funds net assets, creating overlay exposure through leverage to a globally diversified portfolio of futures contracts. For example, if the Fund has $100 in assets, the Fund expects to achieve $100 of exposure to the Balanced Allocation Strategy and $100 of exposure to the Systematic Macro Strategy from the leverage created by the futures contracts. This is akin to investing $100 in a combination of U.S. Equity and/or U.S. Fixed Income securities or ETFs, borrowing $100, and putting the borrowed $100 in a systematic macro fund. The Funds use of leverage, represented by the borrowed $100 in the example, could amplify the effects of market volatility on Fund performance when compared to investing directly in the same portfolio.
The Fund expects to invest up to approximately 50% of its net assets in U.S. Treasury bills, money market funds, cash, and cash equivalents (e.g., high quality commercial paper and similar instruments that are rated investment grade or, if unrated, of comparable quality, as the Adviser or Futures Trading Adviser determines), that provide liquidity, serve as margin or collateralize the Funds investments in derivative contracts for the Systematic Macro Strategy. Combined with the Balanced Allocation Strategy, the Fund may invest up to 100% of the Funds net assets in U.S. Treasury bills, money market funds, cash, and cash equivalents.
The Fund actively trades its portfolio investments, which may lead to higher transaction costs that may affect the Funds performance.
Investments in Subsidiary – The Fund executes a portion of its strategy by investing up to 25% of its total assets in a wholly owned and controlled subsidiary (the Subsidiary). The Subsidiary invests the majority of its assets in commodity futures contracts and other derivative contracts, subject to the same investment restrictions as the Fund, when viewed on a consolidated basis. The Subsidiary is RDMF Fund Limited, a Cayman Islands company. The Subsidiary is advised by the Funds Advisor, Futures Trading Advisor and ReSolve Asset Management Inc., the Funds investment sub-advisor to the Systematic Macro Strategy.
RDMIX - Performance
Return Ranking - Trailing
| Period | RDMIX Return | Category Return Low | Category Return High | Rank in Category (%) |
|---|---|---|---|---|
| YTD | 13.5% | -73.0% | 19.4% | 29.75% |
| 1 Yr | 27.2% | -9.1% | 86.9% | 74.55% |
| 3 Yr | 9.7%* | -9.5% | 16.2% | 69.88% |
| 5 Yr | 5.5%* | -4.9% | 14.4% | 2.08% |
| 10 Yr | N/A* | -0.9% | 7.5% | 11.11% |
* Annualized
Return Ranking - Calendar
| Period | RDMIX Return | Category Return Low | Category Return High | Rank in Category (%) |
|---|---|---|---|---|
| 2025 | 4.1% | -22.7% | 305.1% | 63.70% |
| 2024 | 2.9% | -9.8% | 27.3% | 67.74% |
| 2023 | -9.9% | -20.8% | 10.9% | 76.89% |
| 2022 | -3.4% | -12.4% | 29.4% | 48.02% |
| 2021 | -4.5% | -10.5% | 15.8% | N/A |
Total Return Ranking - Trailing
| Period | RDMIX Return | Category Return Low | Category Return High | Rank in Category (%) |
|---|---|---|---|---|
| YTD | 13.5% | -73.0% | 19.4% | 30.11% |
| 1 Yr | 27.2% | -13.4% | 86.9% | 68.36% |
| 3 Yr | 9.7%* | -9.5% | 16.2% | 63.05% |
| 5 Yr | 5.5%* | -5.3% | 14.4% | 2.08% |
| 10 Yr | N/A* | -0.9% | 7.5% | 11.11% |
* Annualized
Total Return Ranking - Calendar
| Period | RDMIX Return | Category Return Low | Category Return High | Rank in Category (%) |
|---|---|---|---|---|
| 2025 | 5.1% | -22.7% | 305.1% | 63.70% |
| 2024 | 9.9% | -9.8% | 27.3% | 68.95% |
| 2023 | -0.5% | -20.8% | 10.9% | 80.00% |
| 2022 | -3.1% | -8.4% | 29.4% | 65.84% |
| 2021 | 11.3% | -10.2% | 18.0% | N/A |
NAV & Total Return History
RDMIX - Holdings
Concentration Analysis
| RDMIX | Category Low | Category High | RDMIX % Rank | |
|---|---|---|---|---|
| Net Assets | 42.2 M | 1.5 M | 5.01 B | 65.31% |
| Number of Holdings | 52 | 4 | 4478 | 83.39% |
| Net Assets in Top 10 | 37.7 M | -398 M | 2.55 B | 46.29% |
| Weighting of Top 10 | 93.16% | 13.1% | 100.0% | 11.93% |
Top 10 Holdings
- ISHARES-C SP500 51.00%
- FIRST AM-UT MM-Z 39.76%
- SOYBEAN OIL FUTR May26 0.59%
- WTI CRUDE FUTURE May26 0.51%
- CHF CURRENCY FUT Jun26 0.48%
- NEW ZEALAND $ FUT Jun26 0.36%
- EURO-BUND FUTURE Jun26 0.15%
- NATURAL GAS FUTR May26 0.11%
- SP500 EMINI FUT Jun26 0.10%
- E-Mini Russ 2000 Jun26 0.09%
Asset Allocation
| Weighting | Return Low | Return High | RDMIX % Rank | |
|---|---|---|---|---|
| Stocks | 51.00% | -3.75% | 97.95% | 96.11% |
| Cash | 49.81% | -6278.21% | 410.43% | 4.24% |
| Preferred Stocks | 0.00% | -0.12% | 46.97% | 75.27% |
| Convertible Bonds | 0.00% | 0.00% | 87.92% | 84.45% |
| Bonds | 0.00% | -326.45% | 6347.80% | 88.69% |
| Other | -0.81% | -21.53% | 148.54% | 22.97% |
Stock Sector Breakdown
| Weighting | Return Low | Return High | RDMIX % Rank | |
|---|---|---|---|---|
| Utilities | 0.00% | 0.00% | 9.23% | N/A |
| Technology | 0.00% | 0.00% | 39.58% | N/A |
| Real Estate | 0.00% | 0.00% | 51.26% | N/A |
| Industrials | 0.00% | 0.00% | 21.45% | N/A |
| Healthcare | 0.00% | 0.00% | 45.63% | N/A |
| Financial Services | 0.00% | 0.00% | 59.28% | N/A |
| Energy | 0.00% | 0.00% | 100.00% | N/A |
| Communication Services | 0.00% | 0.00% | 21.78% | N/A |
| Consumer Defense | 0.00% | 0.00% | 13.62% | N/A |
| Consumer Cyclical | 0.00% | 0.00% | 29.09% | N/A |
| Basic Materials | 0.00% | 0.00% | 27.46% | N/A |
Stock Geographic Breakdown
| Weighting | Return Low | Return High | RDMIX % Rank | |
|---|---|---|---|---|
| US | 51.00% | -8.85% | 91.88% | 91.17% |
| Non US | 0.00% | -19.62% | 42.11% | 87.63% |
RDMIX - Expenses
Operational Fees
| RDMIX Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
|---|---|---|---|---|
| Expense Ratio | 2.44% | 0.29% | 31.15% | 42.09% |
| Management Fee | 1.75% | 0.00% | 2.50% | 89.05% |
| 12b-1 Fee | 0.00% | 0.00% | 1.00% | 13.51% |
| Administrative Fee | N/A | 0.01% | 0.30% | N/A |
Sales Fees
| RDMIX Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
|---|---|---|---|---|
| Front Load | N/A | 2.50% | 5.75% | N/A |
| Deferred Load | N/A | 1.00% | 5.00% | N/A |
Trading Fees
| RDMIX Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
|---|---|---|---|---|
| Max Redemption Fee | N/A | 1.00% | 2.00% | N/A |
Related Fees
Turnover provides investors a proxy for the trading fees incurred by mutual fund managers who frequently adjust position allocations. Higher turnover means higher trading fees.
| RDMIX Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
|---|---|---|---|---|
| Turnover | 0.00% | 0.00% | 491.00% | 4.44% |
RDMIX - Distributions
Dividend Yield Analysis
| RDMIX | Category Low | Category High | RDMIX % Rank | |
|---|---|---|---|---|
| Dividend Yield | 3.90% | 0.00% | 4.56% | 65.72% |
Dividend Distribution Analysis
| RDMIX | Category Low | Category High | Category Mod | |
|---|---|---|---|---|
| Dividend Distribution Frequency | Annual | Annually | Quarterly | Annually |
Net Income Ratio Analysis
| RDMIX | Category Low | Category High | RDMIX % Rank | |
|---|---|---|---|---|
| Net Income Ratio | -1.95% | -2.51% | 6.83% | 98.20% |
Capital Gain Distribution Analysis
| RDMIX | Category Low | Category High | Capital Mode | |
|---|---|---|---|---|
| Capital Gain Distribution Frequency | Annually | Annually | Annually | Annually |
Distributions History
| Date | Amount | Type |
|---|---|---|
| Dec 30, 2025 | $0.191 | CapitalGainShortTerm |
| Dec 17, 2024 | $0.938 | OrdinaryDividend |
| Dec 17, 2024 | $0.447 | CapitalGainShortTerm |
| Dec 15, 2023 | $0.592 | OrdinaryDividend |
| Dec 15, 2023 | $1.480 | CapitalGainShortTerm |
| Dec 15, 2023 | $0.028 | CapitalGainLongTerm |
| Dec 16, 2022 | $0.087 | OrdinaryDividend |
| Dec 17, 2021 | $3.724 | OrdinaryDividend |
| Dec 18, 2020 | $0.111 | OrdinaryDividend |
| Dec 18, 2019 | $1.712 | CapitalGainLongTerm |
| Dec 18, 2019 | $0.685 | OrdinaryDividend |
| Dec 18, 2019 | $1.270 | CapitalGainShortTerm |
| Dec 20, 2018 | $0.217 | CapitalGainShortTerm |
| Dec 21, 2017 | $0.017 | CapitalGainLongTerm |
RDMIX - Fund Manager Analysis
Managers
Adam Butler
Start Date
Tenure
Tenure Rank
Feb 27, 2018
4.26
4.3%
Adam Butler CFA, CAIA, Mr. Butler is a Co-Founder, Chief Executive Officer, Chief Investment Officer, Ultimate Designated Person, and Portfolio Manager of ReSolve. He has 16 years of experience in investment management, including 12 years as a Portfolio Manager, and holds both CFA and CAIA charters. Prior to co-founding the ReSolve Asset Management Inc in September 2015, Mr. Butler was a Portfolio Manager at Dundee Private Wealth from 2014 to 2015; Portfolio Manager at Macquarie Private Wealth (Canada) from 2011 to 2014; Portfolio Manager at Richardson GMP’s flagship Toronto branch from 2005 to 2011; and Investment Advisor at BMO Nesbitt Burns from 1994 to 2001.
Rodrigo Gordillo
Start Date
Tenure
Tenure Rank
Feb 27, 2018
4.26
4.3%
Rodrigo Gordillo CIM®, Mr. Gordillo is a Co-Founder, President, Secretary, and Portfolio Manager of ReSolve.He has 13 years of experience in investment management. Prior to co-founding the ReSolve Asset Management Inc. in September 2015, Mr. Gordillo was a Portfolio Manager at Dundee Private Wealth from 2014 to 2015; Portfolio Manager at Macquarie Private Wealth (Canada) from 2011 to 2014; Investment Advisor at Macquarie Private Wealth (Canada) from 2006 to 2011. Mr. Gordillo is a Chartered Investment Manager®
Andrew Butler
Start Date
Tenure
Tenure Rank
Apr 01, 2021
1.16
1.2%
Andrew Butler has been Portfolio Manager of ReSolve since 2020. Mr. Butler joined ReSolve in 2014 as a Quantitative Analyst and was promoted to Head of Quant Research in 2015. He is responsible for quantitative research efforts and systems deployment. He has expertise in machine learning modeling. Andrew has earned an Honours B.Sc. in Applied Mathematics & Physics, Memorial University, and a M.A. in Applied Mathematics & Statistics Financial Engineering Major at York University. Andrew is currently a PHD candidate at the University of Toronto, Department of Mechanical & Industrial Engineering. He is a CFA Charterholder.
Michael Philbrick
Start Date
Tenure
Tenure Rank
Apr 01, 2021
1.16
1.2%
Mike is President of ReSolve Asset Management Inc. He has over 20 years of experience in investment management, including 6 years as a Portfolio Manager, and is a Chartered Investment Manager and Accredited Investment Fiduciary. He is responsible for investment decisions, coaching, and strategic leadership, and has co-authored several whitepapers. Mike spent time at Nesbitt Burns and as a Branch Manager at Scotia McLeod before being recruited to Richardson GMP’s flagship Toronto branch in 2005.
Tenure Analysis
| Category Low | Category High | Category Average | Category Mode |
|---|---|---|---|
| 0.02 | 17.37 | 4.48 | 1.67 |