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Easier to give a written explanation of what the indicator is trying to achieve.
I tried to convert it for something different to do, but came
uncertain with some items as to what direction it was actually going
and what trying to achieve in result
I could get the AFL without errors and results, but uncertainty to
what it does stopped me from posting.
On 6/14/05, Brian Fenske <brfenske@xxxxxxxxxxx> wrote:
> Khamsina,
>
> I'm going to pick on you, but this is so common in most programming forums
> that I feel I need to finally say something:
>
> It's time-consuming to convert an algorithm when someone uses variable names
> like Y, SumSqr, Scale, etc. I don't feel like helping if every line I'm
> thinking "what is he trying to do!!??"
>
> If you would like to get an answer more quickly (or at all!) please
>
> 1) describe what this thing is supposed to do, then
>
> 2) use variable names that clearly identify themselves, like
> CurrDayMaxPrice, TimeScale, BarCounter, etc.
>
> If you don't know anything about how this works or what it does, then no one
> else will bother to figure it out either. If on the other hand you give a
> description in clear language, then name your variables clearly (and maybe,
> heaven forbid, include comments in your code!) then I'm sure someone will
> jump to help you out.
>
> Thanks. Just had to get that off my chest.
> Brian
>
> ----- Original Message -----
> From: Khamsina11
> To: amibroker@xxxxxxxxxxxxxxx
> Sent: Monday, June 13, 2005 3:54 PM
> Subject: [amibroker] An indicator tricky to code !!! (for AFL gurus)
>
>
> Hi,
>
> I have been sweating on this indicator for 3 days (below, it's written
> in EasyLanguage) and I just can't translate it into AFL :-( .
> Unfortunately, it far more difficult for me (loop, array).
>
> Many thanks in advance for your valuable help,
> Regards,
>
> Khamsina
>
>
> Inputs: Len(Numeric);
> Vars: Mean(0), j(0), k(1.253314), SumSqr(0), Scale(0), MaxY(0),
> MinY(0), Rng(0);
> Arrays: X[100](0), Y[100](0);
>
> Mean = Average((h+c+l)/3, Len);
> SumSqr = 0;
> for j = 0 to Len - 1 begin
> X[j] = C[j] - Mean;
> SumSqr = SumSqr + X[j] * X[j];
> end;
> Scale = SquareRoot(SumSqr / Len);
> Y[0] = X[0];
> MaxY = X[0];
> MinY = X[0];
> for j = 1 to Len - 1 begin
> Y[j] = Y[j - 1] + X[j];
> if Y[j] > MaxY then MaxY = Y[j];
> if Y[j] < MinY then MinY = Y[j];
> end;
> Rng = MaxY - MinY;
> Estmtr = Log(Rng/(k * Scale)) / Log(Len);
>
>
>
>
>
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--
Cheers
Graham
http://e-wire.net.au/~eb_kavan/
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