I have been an enthusiast for CANSLIM ever since the early 1960’s. In fact I read O’Neil’s book about it. However your clinical analysis, and thoughtful illustration is brilliant. When I started with Stock Rover I kind of sensed that there was a CANSLIM “common link” and now the true power of your APP is clear. In your essay, I especially appreciated the comments relative to selling philosophy and exit strategy. Thank you so much.
CANLISM is a good screener to find growth stocks. However, how do we backtest it? Where can we find evidence that it works?
Good question. Back testing the CAN SLIM methodology would be very tricky because of the “softer factors” such as market direction and new products or service in the past. It would take a lot of manual work. Another approach is to create a virtual portfolio of CAN SLIM stocks now and see how they perform going forward, allowing the passage of time to act as a back test. Less work, but you have to see how the performance unfolds.
Just looked at last 1 year growth, as of today, up 49.76%. Looks like it peaked about 6 months ago at $127.97 which would put its growth > 50%. Pretty good pick for a sample size of 1. This is a pretty cool tool.
You will have more results if you change the screen from RSI > 69 to RS > 69. The CAN SLIM strategy calls for stocks with high Relative Strength (RS) within its own industry/sector to find the Leaders. The relative strength index (rsi) is a momentum indicator, and not a required element of CAN SLIM.
A portfolio of the 8 stocks held for a year, ending Aug 8, would have resulted in loss of 2% vs a gain of 17% in the sp500 … No dividends included. Some stocks did really well, but 3 had losses of over 30%… I guess buy and hold is not an option, but that was not part of what was recommended. Of course, this is just one dataset, and may not reflect what truly can be obtained…
Also not spelled out in the acronym, is the selling of stocks which decrease in value by 5%. With strict application of the style, you would not have stocks loosing 30%. (That still leaves the door open to 6 stocks loosing 5% for a 30% loss.) A tough style to back test with standard means which primarily look at time. In this case, one needs to assign sell criteria which are triggered when met. At that point in time, stocks meeting the buy criteria need to be purchased and sell criteria established. Only then would one know how much $xx would have yielded.