CANSLIM Growth Model Portfolio - 2023 Monthly update

The CANSLIM Growth Model Portfolio uses mechanical methods to generate its selections.

For July 2023 the Portfolio is adding the following stocks:

  1. AGNC Investment Corp. (AGNC)
  2. Hanmi Financial Corporation (HAFC)
  3. Independent Bank Corporation (IBCP)
  4. International Money Express, Inc. (IMXI)

The Post announcing this can be found at (Model Portfolio Update 07/28/2023 – CANSLIM Growth – Swing Trader Trading) .

The website can be found at https://swingtrader.trading/ .

The CANSLIM Growth Model Portfolio is up over 25% for the year and that is 15% over its benchmark Small Cap index.

According to the website:

β€œThe Model Portfolio is made up of 20 to 25 stocks. The criteria used to select the stocks is using the CANSLIM approach. CANSLIM represents the seven characteristics that top-performing stocks often share before making their biggest price gains. Not all the characteristics are being used since some of them are subjective or I cannot backtest. The characteristics I am using are Earnings per share (EPS) and related data concerning EPS, Return on Equity, Sales increase.”

The current snapshot of the Active Portfolio is below:

10 Likes

The CANSLIM Growth Model Portfolio uses mechanical methods to generate its selections.

Blog Post: Model Portfolio Update 08/25/2023 – CANSLIM Growth – Up over 20% in 2023 – Swing Trader Trading

Model Portfolio Update 08/25/2023 – CANSLIM Growth – Up over 20% in 2023

image

The CANSLIM Growth Model Portfolio was updated this weekend. New Adds of 6 stocks were made and Removals of 6 stocks were made. All prices are as of 08/25/2023. A total of 20 stocks are in the Portfolio.

The CANSLIM Growth Model Portfolio is up over 20% this year and 15% ahead of its benchmark IJR.

The Model Portfolio is made up of 19 to 22 stocks. The criteria used to select the stocks is using the CANSLIM approach. CANSLIM represents the seven characteristics that top-performing stocks often share before making their biggest price gains. Not all the characteristics are being used since some of them are subjective or I cannot backtest. The characteristics I am using are Earnings per share (EPS) and related data concerning EPS, Return on Equity and Sales increase.

Add – ASRT, CMRE, ONB, GPK, CNX, EQBK

The CANSLIM Growth Model Portfolio Detail

Backtest for the CANSLIM Growth Model Portfolio

Active Portfolio:

All content on this site is for informational purposes only and does not constitute financial advice. Consult relevant financial professionals in your country of residence to get personalized advice before you make any trading or investing decisions. Disclaimer

7 Likes

Model Portfolio Update 09/29/2023 – CANSLIM Growth – Up over 16% in 2023

Blog Post: Model Portfolio Update 09/29/2023 – CANSLIM Growth – Up over 16% in 2023 – Swing Trader Trading

The CANSLIM Growth Model Portfolio uses mechanical methods to generate its selections.

image

The CANSLIM Growth Model Portfolio was updated this weekend. New Adds of 6 stocks were made and Removals of 6 stocks were made. All prices are as of 09/29/2023. A total of 20 stocks are in the Portfolio.

The CANSLIM Growth Model Portfolio is up over 16% this year and 17% ahead of its benchmark IJR.

BackTest – The Backtest for this Portfolio outperformed the IJR benchmark in 18 out of the 19 years tested. It was largely even with the benchmark in 2018. When the Portfolio outperformed, it was usually by a wide margin. The best year was 2013 when it was up by 46%

Add – CHWY EXTR ORRF PSEC UBS XP

Noteworthy Active Transactions include CLS, ACEL, and LYTS which account for much of this Alpha. They are up +98%. +25% and +30% respectively. A noteworthy Closed Transaction was NOA. It was added on 1/27/2023 and removed this weekend for a total gain of 47%

Backtest for the CANSLIM Growth Model Portfolio

Active Portfolio:

All content on this site is for informational purposes only and does not constitute financial advice. Consult relevant financial professionals in your country of residence to get personalized advice before you make any trading or investing decisions. Disclaimer

9 Likes