Proprietary Models

We designed our public dual momentum model, GEM, to be simple and easy to use for do-it-yourself investors. GEM exists to help protect smaller investors from significant drawdowns while allowing them to earn returns that exceed the market over the long run.

But momentum works best when it incorporates multiple trend determinants. There is a synergistic effect when doing that.

Most investors do not give enough importance to price trends.  Greyserman & Kaminsky show that simple trend-following has outperformed buy-and-hold and reduced downside excursions back to the origins of many markets. No other investment factor has shown that. 

Our models are the culmination of a lifetime of investment research and experience. Three of our four proprietary models use a channel breakout approach validated on 100 years of data, as seen in our award-winning research study. We also insist on real-world superior performance.

Richard Dennis taught something similar to this to his “turtle traders.” Jack Dreyfus became a billionaire by trading channel breakouts in stocks making new highs.

Most of our models incorporate mean reversion from overbought and oversold conditions as a complement to trend following. Our proprietary models use daily data and are highly adaptive to market conditions. They are based on rigorous, academic-quality research, validated against at least 100 years of data. This is the only way to be confident you haven’t overfit your data.

We spend considerable time on portfolio construction and on due diligence to find the best ETFs for our models. Thoughtful portfolio structuring is an essential part of our investing process. Doing so provides consistency, stability, and profit rebalancing. 

Our models work in many different markets. We chose those whose combinations create optimal, balanced portfolios that are responsive to different market conditions. Using multiple models with low-to-moderate correlations is the best way to reduce model estimation error and uncertainty. Optimal combinations of models can enhance expected returns and reduce downside exposure.

We license our proprietary model signals to substantial private and institutional investors, as well as to select investment advisors who understand and appreciate our work. 

Most trading models exit to a safe-haven asset when not in risk-on positions. Our models are unique in that they switch to other assets or models with positive trends before seeking a safe harbor. This layering captures additional profits and helps reduce whipsaw losses. Our models also all use the principle of confirming model signals with other closely aligned assets. Here are our current proprietary models.

Stock Market Upside Reversal Factor (SMURF)

SMURF focuses on U.S. large-cap growth stock ETFs and may take modest positions in other stock-market or non-stock ETFs when their trends are positive. SMURF exits to alternative assets when trends are no longer positive. 

Blockchain and Digital Asset Super System (BADASS)

BADASS applies its trend model to ETFs that track blockchain and digital technology stocks. It also allocates a moderate amount to spot Ethereum and Bitcoin ETFs when their trends are positive. BADASS has been our most profitable model.

Gold Long Trend (GLTR)

GLTR applies trend following to gold ETFs. Gold is often mean-reverting and challenging to trade, but our trend strategy handles it well. GLTR also incorporates mean reversion trading. Even without trend following and mean reversion, gold has outperformed the S&P 500 over the past 25 years. GLTR often has a low correlation to our other models and is a good portfolio diversifier.

Futures Optimal Rebound Trading (FORT)

FORT is our latest proprietary model. It is unique in that it trades the equity curves of managed futures and inflation-oriented ETFs by buying dips and selling rallies. FORT is an ideal complement to our more traditional trend-following models.

Fixed Income and Reversals Model (FIRM)

FIRM is anchored by short-term fixed-income ETFs. It can also hold short-term positions in other ETFs to exploit mean reversion. FIRM has the lowest volatility and correlation among all our models. It provides portfolio stability and profits from rebalancing. FIRM also provides tax deferral on much of its investment income.

SMURF, GLTR, and FIRM Performance – January 2005 through March 2026

GLTR spends about half its time in gold-stock ETFs and the rest in the SMURF and FIRM positions. SMURF spends around 60% of its time in the stock market and 40% in the FIRM positions. 60/20/20 is a balanced allocation of 60% SMURF,  20% GLTR, and 20% FIRM.

 

       S&P500

      SMURF

    GLTR

     FIRM

    60/20/20

        CAGR

         10.3

          18.5

      22.1

        4.0

           16.4

     STD DEV

         16.5

          10.9

      15.0

        2.7

             8.4

      SHARPE

         0.60

          1.51

      1.33

      0.97

           1.70

           UPI

         1.10

          8.49

      9.02

    19.83

        11.57

      MAX DD

       -52.9

           -8.9

    -11.4

       -1.2

           -7.1

Results do not guarantee future success nor represent returns that any investor attained. All trading involves risks that may not be foreseen. CAGR is the compound annual growth rate. Charts use monthly data. Drawdowns are on a month-end basis. UPI is the Ulcer Performance Index, which divides return by the Ulcer Index. The Ulcer Index measures the depth and duration of drawdowns from earlier highs. 

 

SMURF, BADASS, FIRM, and FORT Performance – January 2018 – March 2026

Because of our models’ risk controls, we can use assets more aggressively than buy-and-hold investors. We can further reduce portfolio volatility by combining models having modest correlations and by incorporating low-volatility assets. 

Here are some optimal portfolio allocations using SMURF, BADASS, FIRM, FORT, and GLTR in that order. The S&P 500 is shown as a benchmark. Real-time performance since January 2018, when we went public with BADASS, has been similar to the portfolio numbers shown. 

 

 SMURF

BADASS

 FORT

GLTR

S&P500

15/20/45/10/10

20/25/30/10/15

25/30/10/15/20

    CAGR

     22.6

      81.2

   27.5

  23.6

    12.3

            26.4

            31.9

             37.7

 STDDEV

     12.2

      38.8

  15.0

 15.3

    17.2

            10.1

            12.7

             15.2

 SHARPE

     1.56

     1.68

  1.56

 1.33

    0.63

            2.15

            2.09

             2.05

      UPI

    9.73

   14.76

12.23

 9.74

    1.08

         25.50

         23.18

           21.77

 MAX DD

     -8.8

   -18.2

 -11.4

-11.4

  -23.8

            -4.0

            -5.0

              -6.1

 AVG DD

     -1.2

     -3.8

  -1.1

  -1.4

    -4.3

            -0.5

            -0.7

              -0.9

 W%MOS

       71

       74

    74

    72

       63

              79

              78

                 78

 Please contact us for fact sheets and other information on our proprietary models.