Quant Alpha’s Portfolio Update 12/27/2023 – Up over 39% in 2023

Quant Alpha's Portfolio 2023 performance to date.

The Model Portfolio Quant Alpha’s was updated this morning. A new Add was made. Also, for the first time the Quant scores have triggered a Remove. All prices are as of 12/27/2023. A total of 21 stocks are in the Portfolio now.

This Portfolio uses Quant scores as the chief factor in adding and removing stocks. Other criteria is used to limit the scope of the stocks to be considered. The criteria is shown below.

  • No Micro-Cap stocks.
  • High liquidity.
  • USA and Canada headquartered only stocks.
  • Twice a month I will add to the Portfolio.
  • I will not use subjective criteria for Stock selection.
  • When a Remove signal is received, I will remove 100% of that stock, not a portion.
  • I will not add any stocks that are Airlines, crypto related, BioTech or Mega Cap.. 
  • You can expect that eventually 30 to 35 stocks will be in the Portfolio. 
  • The holding period is expected to range from 9 months to 2 years. 

Add – LMB Limbach Holdings

Since the last update several weeks ago, this Portfolio has maintained its wide outperformance against the ETF benchmark, EQAL. The Portfolio continues to be up over 39% for 2023.

Standout performers in the Portfolio include SMCI up 170% since its addition on 4/14/23, POWL up 65% since its addition on 5/12/23 and ANF up 81% since its addition on 10/18/23.

Quant Alpha’s Portfolio details here

Model Portfolio results for SwingTrader.Trading

Model Portfolio Performance this year to 12-27-2023

Small Cap Discoveries33.77%
IJR (Small Cap benchmark)16.35%
CANSLIM Growth37.06%
IJR (Small Cap benchmark)16.35%
Mid Cap Flyers21.80%
MDY (Mid Cap Benchmark)15.77%
Large Cap Stalwarts12.43%
RSP (Large Cap benchmark)11.90%
BI-Weekly Swings52.03%
BSMAX ( Russell Small/Mid-Cap Index Fund)16.83%
Quant Alpha’s39.55%
EQAL (Russell 1000 Equal Weight ETF)9.86%
LIve Portfolio Results for SwingTrader.Trading

Backtests for the Five Model Portfolios

Quant Alpha's Portfolio summary.

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