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1. 200 symbols sounds like a lot. Spend some time on CAREFULLY
selecting a universe of NON-correlated ETFs. You can find an .afl
that produces a correlation matrix either here or at the AB website.
Only include low correlated ETFs in your list say < 0.6 and > -0.6 (or
whatever bounds you like).
This should drop your list down to several dozen.
2.(with all due credit to Howard Bandy) Think of a reversion to mean
system rather than a trend following system you have outlined below.
3.Think about the signal to noise ratio of your ranking system. ROC
only uses 2 values to compute the ROC. This produces a very noisy
signal and lots of buys / sells based solely on random noise - not
good. Think about all of those estimates of the value of the ETF in
between.
Reef Break
"Headed for Acid Drops in a few days - can hardly wait"
--- In amibroker@xxxxxxxxxxxxxxx, "upsidetarget" <digimax@xxx> wrote:
>
> I use a simple ETF RS system (on 200 symbols) which I want to put into
> Amibroker. Here is what I have so far:
>
> PosQty = 14;
> SetOption("MaxOpenPositions", PosQty );
> PositionSize = -100/PosQty;
> PositionScore = ((ROC(C,63)+ROC(C,252))/2);
> Buy=ROC(C,63)>0 AND ROC(C,252)>0 AND Percentile(ROC(C),63,69) AND
> Percentile(ROC(C),252,69);
> Sell=???;
>
> I don't think this will do it...
>
> What I want is to take a percentile ranking of ROC(C,63)
> and a percentile ranking of ROC(C,252), add them and divide by 2.
>
> Example: ROC(63) rank = 70, ROC(252) rank = 90
> ... result (70+90)/2=80 [average rank]
>
> Buy: Average Rank =>80
> Sell: Average Rank <80
>
> Problem is, I don't think I can use percentile ranking to get this
> done. Is there another way?
>
> Thank for any ideas...
>
> Michael
>
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