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Registered User
Joined: 11/27/2004
Posts: 3
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Hello, I am very new to TC2000 and am trying to develop a simple MA Crossover to produce long and short signals. I watched your video clip on how to produce crossover PCF's. My question is: Not only do I want to see companies that are moving across their MA's, but I also want to know when the higher MA is starting to go in the same direction? I know that MA crossover systems can give alot of whipsaws. Trying to filter some of the noise out to spot a strong beginning trend. Also, what are some good EasyScans for volume surge, positive BOP, etc.
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Worden Trainer
Joined: 10/1/2004
Posts: 4,308
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You can simply add a couple of conditions to your crossover scan. For BOP, you might consider a simple formula like:
BOP10
This gives the average BOP value over a ten day period. Set the range selector to accept very high or very low values (the range is +100 to -100), depending on what you're looking for.
There is also a volume surge criterion built in to the program. Use it in your scan, and consider using the rank side of the range selector to accept stocks that rank either very high or very low for volume surge, compared with all other stocks in the market.
- Doug
Teaching Online!
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Registered User
Joined: 10/7/2004
Posts: 799
Location: Duluth, GA
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Hi, Jerry:
You asked:
I also want to know when the higher MA is starting to go in the same direction?
The easiest way to do this with a PCF is simply to compare today's MA to yesterday's (or maybe to the MA value a few days ago). This provides the "Rate of Change" (ROC) value.
The PCF to identify stocks with a 20-day Simple Moving Average of the Closing Price heading up vs yesterday is:
AvgC20 > AvgC20.1
This creates a "True" result if the 20SMA is moving up.
There are a whole lot of other ways of doing this, too. Try plotting a child-indicator on your MA that is a Linear Regression line of about half the period (or less) of the MA itself. The slope of this line is a good indicator.
You can write PCF's for LinReg lines if you want. Do a search on "LinReg" or "Linear Regression" to find other writeups about this.
I hope this helps.
Jim Dean
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