|
PureBytes Links
Trading Reference Links
|
Thank you, I have started my detection formula using your trendline
code. I have added to it, to produce the overlay as in the attached
image file.
My problem is that at times the formula does not use the correct
starting point ( x ). So ,I would like to have code check if the trough
or peak ( whichever is to be ( x ) ) is before or after the other.
checking with the day or barssince., because , using iif(rankt > rankp)
, really does not help. I believe it must be checked by bars or days.
Your help is appreciated.
Anthony
Dimitris Tsokakis wrote:
> Anthony,
> If we have PEAK, TROUGH, PEAK, TROUGH, etc it would be easy.
> Unfortunately, as you see in gif, we may have two or more successive
> peaks
> between two troughs and vice versa.
> the only sure thing is the time interval between the LAST peak and the
> LAST trough
> which is
>
> x =Cum(1);per=3;s1=L;s11=H;pS=TroughBars(s1,per,1)==0;
> endt=LastValue(ValueWhen(pS,x));/*trough
> time*/pR=PeakBars(s11,per,1)==0;endt1=LastValue(ValueWhen(pR,x));/*peak
> time*/interval=endt-endt1; For the rest, if it means something to you,
> you may look athttp://www.amibroker.com/library/detail.php?id=105at
> the second comment, where you may calculate the time intervalbetween
> the 3rd peak and the 5th trough or any other rank.D. T.
>
> ----- Original Message -----
> From: Anthony Faragasso
> To: DIMITRIS TSOKAKIS
> Sent: Sunday, October 07, 2001 12:29 PM
> Subject: Days Between Peak and Trough
> Hi Dimitri;If Possible, could you Help, Thank you in Advance.
> I am writing a detection formula which requires starting points ( x )
> and ( a ), with ( x ) always being the
> starting point , whether it be a trough or peak. I would like to have
> code check if trough is before peak
> or after peak,
> Thank you.
> Anthony
>
>
> Yahoo! Groups Sponsor
[Image]
>
> Your use of Yahoo! Groups is subject to the Yahoo! Terms of Service.
--------------E559394A042A65E563B29433
Content-Type: multipart/related;
boundary="------------EE0BE115E72734B5A50BFCFD"
--------------EE0BE115E72734B5A50BFCFD
Content-Type: text/html; charset=us-ascii
Content-Transfer-Encoding: 7bit
<!doctype html public "-//w3c//dtd html 4.0 transitional//en">
<html>
<body bgcolor="#FFFFFF">
Dimitri;
<p>Thank you, I have started my detection formula using your trendline
code. I have added to it, to produce the overlay as in the attached image
file.
<p>My problem is that at times the formula does not use the correct starting
point ( x ). So ,I would like to have code check if the trough or peak
( whichever is to be ( x ) ) is before or after the other. checking with
the day or barssince., because , using iif(rankt > rankp) , really does
not help. I believe it must be checked by bars or days.
<p>Your help is appreciated.
<p>Anthony
<p>Dimitris Tsokakis wrote:
<blockquote TYPE=CITE><style></style>
<font size=-1>Anthony,</font>
<div style="FONT: 10pt arial"><font face="Times New Roman">If we have PEAK,
TROUGH, PEAK, TROUGH, etc it would be easy.</font></div>
<div style="FONT: 10pt arial"><font face="Times New Roman">Unfortunately,
as you see in gif, we may have two or more successive peaks</font></div>
<div style="FONT: 10pt arial"><font face="Times New Roman">between two
troughs and vice versa.</font></div>
<div style="FONT: 10pt arial"><font face="Times New Roman">the only sure
thing is the time interval between the LAST peak and the LAST trough</font></div>
<div style="FONT: 10pt arial"><font face="Times New Roman">which is</font></div>
<div style="FONT: 10pt arial"> </div>
<div style="FONT: 10pt arial"><font face="Times New Roman"><font size=-1>x
=Cum(1);per=3;s1=L;s11=H;pS=TroughBars(s1,per,1)==0;</font></font></div>
<font size=-1>endt=LastValue(ValueWhen(pS,x));/*trough time*/pR=PeakBars(s11,per,1)==0;endt1=LastValue(ValueWhen(pR,x));/*peak
time*/interval=endt-endt1;</font> <font size=-1>For the rest, if it means
something to you, you may look athttp://www.amibroker.com/library/detail.php?id=105at
the second comment, where you may calculate the time intervalbetween the
3rd peak and the 5th trough or any other rank.D. T.</font>
<div style="FONT: 10pt arial"> </div>
<div style="FONT: 10pt arial"><font face="Times New Roman">----- Original
Message -----</font></div>
<div style="BACKGROUND: #e4e4e4; FONT: 10pt arial; font-color: black"><font face="Times New Roman">From:
<font color="#000000"><a href="mailto:ajf1111@xxxx"; title="ajf1111@xxxx">Anthony
Faragasso</a></font></font></div>
<div style="FONT: 10pt arial"><font face="Times New Roman">To: <font color="#000000"><a href="mailto:TSOKAKIS@xxxx"; title="TSOKAKIS@xxxx">DIMITRIS
TSOKAKIS</a></font></font></div>
<div style="FONT: 10pt arial"><font face="Times New Roman">Sent: Sunday,
October 07, 2001 12:29 PM</font></div>
<div style="FONT: 10pt arial"><font face="Times New Roman">Subject: Days
Between Peak and Trough</font></div>
<font size=-1>Hi Dimitri;If Possible, could you Help, Thank you in
Advance.</font>
<br><font size=-1>I am writing a detection formula which requires starting
points ( x ) and ( a ), with ( x ) always being the</font>
<br><font size=-1>starting point , whether it be a trough or peak.
I would like to have code check if trough is before peak</font>
<br><font size=-1>or after peak,</font>
<br><font size=-1>Thank you.</font>
<br><font size=-1>Anthony</font>
<br>
<p>
<br><tt>Your use of Yahoo! Groups is subject to the <a href="http://docs.yahoo.com/info/terms/";>Yahoo!
Terms of Service</a>.</tt></blockquote>
</body>
</html>
--------------EE0BE115E72734B5A50BFCFD
Content-Type: image/gif
Content-ID: <part1.3BC05F85.E8B551CF@xxxx>
Content-Transfer-Encoding: base64
Content-Disposition: inline; filename="C:\WINDOWS\TEMP\nsmail6C.gif"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--------------EE0BE115E72734B5A50BFCFD
Content-Type: image/gif
Content-ID: <part2.3BC05F85.E8B551CF@xxxx>
Content-Transfer-Encoding: base64
Content-Disposition: inline; filename="C:\WINDOWS\TEMP\nsmailB8.gif"
R0lGODlhAQABAIAAAP///wAAACH5BAEAAAAALAAAAAABAAEAAAICRAEAOw==
--------------EE0BE115E72734B5A50BFCFD--
--------------E559394A042A65E563B29433--
Attachment:
Description: ""
|