• This investment strategy holds a maximum of 50 consensus stock picks from 40 hedge funds with more than $3,500 million Assets Under Management.
• Changes in the holdings occur only every three months when the end of the quarter 13F filings becomes public information; the latest date was February 15, 2021.
• From 02/24/08 – 02/19/21 this strategy would have produced an annualized return (CAGR) of 18.7%, significantly more than the 10.7% CAGR of the S&P 500 ETF (SPY).
• Here we report the most recent holdings, and also list the stocks removed and added as of the week ending 2/19/2021.

• The ModSum/YieldCurve Timer seeks to find optimum investment periods for equities. It uses two market timing algorithms: The ModSum Timer (weighted sum of five market timers), and the YieldCurve Timer.
• The ModSum Timer switches between SPY and IEF, and the YieldCurve Timer adds a hedge with GLD.
• For the period 1/02/2000 to 1/27/20121 this strategy would have produced an annualized return of 22.4% with a maximum drawdown of -14.3%.

• The average of S&P 500 for December 2020 is 3695. This is 1293 points higher than the long-term trend value of 2402.
• The current percentage difference of S&P 500 level relative to the current long-term trend level is 54%, a value never exceeded in the recent past since 2002.
• The Shiller Cyclically Adjusted Price to Earnings Ratio (CAPE) is at a level of 33.7. That is 37% higher than its 35-year moving average (MA35), currently at 24.7.
• The CAPE-MA35 ratio is 1.37, forecasting a 10-year annualized real return of about 5.0%. Should the CAPE-MA35 ratio increase further, then 10-year forward returns will be even lower.
• The long-term trend is forecasting a 10-year annualized real return of 2.1%. The most likely forecast 10-year forward return would be about 3.5%, the average of 5.0% and 2.1%.

• The Yield Curve / Federal Funds Rate Timer signals the switches from stocks to gold and vice versa near or during recession periods.
• Only three parameters are needed; the Effective Federal Funds Rate and the 2-year and 10-year U.S. Treasury yields to determine the periods when the yield curve is inverted.
• The timing rules are based on the state of yield curve and on the trend of the Effective Federal Funds Rate.

This timer signals switches from stocks (S&P500 Total Return) to gold and vice versa near or during recession periods.
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• This strategy exploits the anomaly that equities perform best from November to April, and less so from May to October during most years.
• ETFs (XLV, XLI, XLY, XLB) have historically performed best from November to April, and ETFs (XLK, XLP, XLU, QQQ) have done better than the first group from May to October.
• The super-sector models termed “aggressive” and “defensive” combine, respectively, the Top5(Sector)Select models for ETFs (XLV, XLI, XLY, XLB) and ETFs (XLK, XLP, XLU, QQQ), all previously published on Seeking Alpha.
• This strategy invests alternatingly in the aggressive- and defensive super-sector models during their respective “good” 6-month periods.
• From Jan-2000 to Nov-2020 a backtest shows that this strategy would have outperformed the SPDR S&P 500 ETF Trust (SPY), producing an annualized return of 23.3% versus 6.1% for SPY.
• NOTE: Elsewhere we refer to the “aggressive” season as the winter season, and conversely the “defensive” as the summer season. This model switches all holdings bi-annually end of April and end of October.

• This 5-stock trading strategy with the stocks from Invesco QQQ Trust produces much higher returns than the ETF (QQQ).
• The universe from which stocks are selected is the Nasdaq 100 Index which represents all the point-in-time holdings of QQQ.
• The model ranks the stocks of the Nasdaq 100 Index and selects periodically the highest ranked stocks which also satisfy certain yield requirements.
• From 1/2/2009 to 10/30/2020 this strategy would have produced an annualized return (CAGR) of 28.5%, more than the 21.2% CAGR of QQQ over this period.

In a previous article, I discussed the seasonal effect in equities and showed that they perform best from November to April, the “good” period, and that replacing equities with fixed income during the “bad” period of May thru October is a winning strategy over the longer term.

Since future returns from fixed income are uncertain, the strategy proposed here is to always invest in sector equity ETFs. I defined two super-sector groups, classified as aggressive and defensive, each with four sector ETFs which have historically performed best from November to April and relatively well from May to October, respectively.

This simple strategy invests alternately in the aggressive and defensive super sectors during their respective six-month periods, switching from aggressive to defensive at the end of April, and vice versa at the end of October.

• This 5-stock trading strategy with the Consumer Discretionary Sector stocks of the S&P 500 produces much higher returns than the Consumer Discretionary Select Sector SPDR Fund (XLY).
• The universe from which stocks are selected emulates as close as possible the point-in-time holdings of XLY.
• The model ranks the stocks of this custom universe and selects periodically the highest ranked stocks which also satisfy stipulated yield requirements.
• From 1/2/2009 to 10/23/2020 this strategy would have produced an annualized return (CAGR) of 22.7%, more than the 19.3% CAGR of XLY over this period.